Package: python-absl Architecture: all Version: 0.1.11-1+Debian.stretch.9.4 Priority: optional Section: python Source: absl-py (0.1.11-1) Maintainer: Adam Cecile Installed-Size: 328 Depends: python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Filename: pool-stretch/absl-py/python-absl_0.1.11-1+Debian.stretch.9.4_all.deb Size: 70188 MD5sum: 8076b6d4edfcc21abb2067c73632682d SHA1: 3b7479d406bdcf24b6fb7c61f8d6f4dd5ce73cdf SHA256: 1abd17f3dc19e0adc9f40612db4de158b79c7325a9410c8b60edcb440c7c8bc1 SHA512: d943ddb7979e75e555589f8997f3b5788bedf28bf584d9d0e103fd05964e5cc76b0f186f51098a5887958e6a3db9fc262bd3ef182f99af9af7fa838205b00442 Homepage: https://github.com/abseil/abseil-py Description: Abseil Python Common Libraries (Python 2) Collection of Python library code for building Python applications. . The code is collected from Google's own Python code base, and has been extensively tested and used in production. . This package installs the library for Python 2. Package: python-absl Architecture: all Version: 0.7.1-1+Debian.stretch.9.8 Priority: optional Section: python Source: absl-py (0.7.1-1) Maintainer: Adam Cecile Installed-Size: 408 Depends: python-enum34, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Filename: pool-stretch/absl-py/python-absl_0.7.1-1+Debian.stretch.9.8_all.deb Size: 84942 MD5sum: b1bc4866da281fd5685a30330161b029 SHA1: d0474cb923982954e0209b762d6fc4e411e97f6b SHA256: dc25e2bd8773ea1bf6d17e5f62de3131cbd046efd8d4272677eb308813729a95 SHA512: 652b7858e8fccc3e6b86207947789a139d9d29404c945ea064c5d38905185617625041fc880b91d634493aab96a18b8333c37a921a655ca338e4ce057d0a4cf9 Homepage: https://github.com/abseil/abseil-py Description: Abseil Python Common Libraries (Python 2) Collection of Python library code for building Python applications. . The code is collected from Google's own Python code base, and has been extensively tested and used in production. . This package installs the library for Python 2. Package: python3-absl Architecture: all Version: 0.1.11-1+Debian.stretch.9.4 Priority: optional Section: python Source: absl-py (0.1.11-1) Maintainer: Adam Cecile Installed-Size: 328 Depends: python3-six, python3:any (>= 3.4~) Filename: pool-stretch/absl-py/python3-absl_0.1.11-1+Debian.stretch.9.4_all.deb Size: 70290 MD5sum: ed709d987f90a0fe4fc1e7db31c9940b SHA1: 81d48285ad5ae6ec96ad3ef585f7ecb688d093dc SHA256: af528216f005f841b1c1e05b568e88c0876d125ea45289a21d87eb4534d3c7a7 SHA512: 3f82b631209efe6c84c09a977dbd7dd2dbdf8e8aec75f286b05597e37d5f8a4cbfa8ed0b9a9a35230a499b8a1fd9acc32d1716252103afe52c9be786a3ef0040 Homepage: https://github.com/abseil/abseil-py Description: Abseil Python Common Libraries (Python 3) Collection of Python library code for building Python applications. . The code is collected from Google's own Python code base, and has been extensively tested and used in production. . This package installs the library for Python 3. Package: python3-absl Architecture: all Version: 0.7.1-1+Debian.stretch.9.8 Priority: optional Section: python Source: absl-py (0.7.1-1) Maintainer: Adam Cecile Installed-Size: 401 Depends: python3-six, python3:any (>= 3.4~) Filename: pool-stretch/absl-py/python3-absl_0.7.1-1+Debian.stretch.9.8_all.deb Size: 84030 MD5sum: ca36f286237f33c53779575977225216 SHA1: d64a46070e68b989874b7232b0fed30a2759564d SHA256: a3658430deeaac010f40049738494667733a0e897bb1d9dd5efe4d8501275de5 SHA512: be4082b65a8352196e9a6004a725498207d44f334a5d7255872690e53637e43ba0ce3dbda088e5ef17eb51723eb428876cdb29bb86c27c912c6b138cc066923c Homepage: https://github.com/abseil/abseil-py Description: Abseil Python Common Libraries (Python 3) Collection of Python library code for building Python applications. . The code is collected from Google's own Python code base, and has been extensively tested and used in production. . This package installs the library for Python 3. 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Package: python-cloudpickle Architecture: all Version: 0.8.0-1~bpo+Debian.stretch.9.9 Priority: optional Section: python Source: cloudpickle (0.8.0-1~bpo) Maintainer: Debian Python Modules Team Installed-Size: 67 Depends: python:any (<< 2.8), python:any (>= 2.7.5-5~) Filename: pool-stretch/cloudpickle/python-cloudpickle_0.8.0-1~bpo+Debian.stretch.9.9_all.deb Size: 17476 MD5sum: 4522c62d3b85325c3bdc0e018d672d03 SHA1: b06afe96fada67eaf9b1b523c291f6fa43bfabd2 SHA256: dcd59a38d1bed530aa30ead036bac0addc29f9438b33769cd7a851c82c3a1c3c SHA512: 4a80ca3248de396e01bb90292e946c3029d855b8f83757ddc28a40b187e9babd0d5396cd9365835f00ac327b54328f419917a09b2cc82f9328f13b802b89e9e3 Homepage: https://github.com/cloudpipe/cloudpickle Description: Extended pickling support for Python 2 objects cloudpickle makes it possible to serialize Python constructs not supported by the default `pickle` module from the Python standard library. . cloudpickle is especially useful for cluster computing where Python expressions are shipped over the network to execute on remote hosts, possibly close to the data. . 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CuPy consists of the core multi-dimensional array class, cupy.ndarray, and many functions on it. It supports a subset of numpy.ndarray interface. . This package installs the library for Python 3. Package: cython-dbg Architecture: amd64 Version: 0.29.2-2~bpo9+0 Priority: optional Section: debug Source: cython Maintainer: Python Applications Packaging Team Installed-Size: 12867 Depends: libc6 (>= 2.14), cython (= 0.29.2-2~bpo9+0) Filename: pool-stretch/cython/cython-dbg_0.29.2-2~bpo9+0_amd64.deb Size: 4363340 MD5sum: 8c3b1d48d0679bf783bdbf0d6773a36f SHA1: 19da332f708cdd4a6195bf40e21ee4919fe31d90 SHA256: f32ec050c88d0d023e583cf8c1be0f22ea40ce0e8efb0ceb287902fa6197e794 SHA512: d87af799ae4ee42a8155f079e811a03d8ab8b7e1b5eac63c7471cdcabc2397e6e7db9c64de7629c44aa4e083e1a7c54be2e8732db09f847bcbf613b5d4516635 Homepage: http://cython.org/ Description: C-Extensions for Python - debug build This package contains Cython libraries built against versions of Python configured with --pydebug. 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Package: python3-dask-sphinx-theme Architecture: all Version: 1.1.0-1~bpo+Debian.stretch.9.9 Priority: optional Section: python Source: dask-sphinx-theme (1.1.0-1~bpo) Maintainer: Diane Trout Installed-Size: 39 Depends: python3-sphinx-rtd-theme, python3:any (>= 3.3.2-2~) Filename: pool-stretch/dask-sphinx-theme/python3-dask-sphinx-theme_1.1.0-1~bpo+Debian.stretch.9.9_all.deb Size: 8674 MD5sum: ed8a9d6fe2baf1265dc2df6ac5388831 SHA1: f0b72a084f27c4df050a5b52241b09da9beb5c02 SHA256: 9dfb8462a5af03dbab06c706244ca4cec23b75abb4bdebac8f408d8e1cf2ba3d SHA512: 8cb7e017f9cbb8369a85bff28bdb857c15ab0aa3d8f8972241eaab20efcab6fbbe85502ae78d6f0880ffa8a8898abbea7bc33b98f72c63b697dc68c07f898cec Homepage: https://github.com/dask/dask-sphinx-theme/ Description: Dask theme for Sphinx This is the official Sphinx theme for Dask documentation. It extends the sphinx_rtd_theme project, but adds custom styling and a navigation bar to additional Dask subprojects. 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It extends both the concurrent.futures and dask APIs to moderate sized clusters. . This contains the Python 3 version Package: python3-dask Architecture: all Version: 0.15.1-3~bpo9+0 Priority: optional Section: python Source: dask Maintainer: Debian Python Modules Team Installed-Size: 2017 Depends: python3:any (>= 3.3.2-2~) Recommends: python3-numpy, python3-toolz Suggests: python3-cloudpickle, python3-distributed (>= 1.16), python3-graphviz, python3-pandas (>= 0.19.0), python3-partd, python3-psutil Filename: pool-stretch/dask/python3-dask_0.15.1-3~bpo9+0_all.deb Size: 359140 MD5sum: 8a55cd352ce4547a1f5e051fc30e02d4 SHA1: 6375edcedb31f191e4f8b39f0ca38cded5d30e16 SHA256: 2f77a17efbdbed80464849290c922066603be20dddb03d61c7b6ddea4bda22b7 SHA512: 6d65301db441e5a4f939d47cfd61b9bc3b1bab4480697d1e396bb8b6ca298a64e158e3dca9fc92c0ff9a07bd0dafb242f06c826d8deac647efb01d08fbf6e8aa Homepage: http://github.com/dask/dask Description: Minimal task scheduling abstraction for Python 3 Dask is a flexible parallel computing library for analytics, containing two components. . 1. Dynamic task scheduling optimized for computation. This is similar to Airflow, Luigi, Celery, or Make, but optimized for interactive computational workloads. 2. "Big Data" collections like parallel arrays, dataframes, and lists that extend common interfaces like NumPy, Pandas, or Python iterators to larger-than-memory or distributed environments. These parallel collections run on top of the dynamic task schedulers. . This contains the Python 3 version. Package: equivs-cuda-cublas-8-0 Architecture: all Version: 8.0 Multi-Arch: foreign Priority: optional Section: misc Maintainer: Adam Cecile Installed-Size: 9 Provides: cuda-cublas-8-0 Depends: libcublas8.0, libcudart8.0 Filename: pool-stretch/equivs-cuda-cublas/equivs-cuda-cublas-8-0_8.0_all.deb Size: 3198 MD5sum: 0dc80feb85119ee25b24f70fa2a61895 SHA1: 431161e6d71a17897829cac77cea0898c44e45ae SHA256: 0737343a45182d3615f1d4b9480dd23b28c6a68d3ce22f23975e1204cce6f96d SHA512: 8d70b191d5ab5163161718fbf856513bf02c088b44850903c6069af1696de7e4f3e1989ff877cc8872b506037e03f49d5c22eb5be181481a557bd5b9786f3f72 Description: Fake package to provide cuda-cublas-X-Y dependency The real library is a dependency of this package. . This package provide an alternate name to comply with official NVIDIA debs dependending on it. Package: cpp-5 Architecture: amd64 Version: 5.4.0-6ubuntu1~16.04.12 Priority: optional Section: interpreters Source: gcc-5 Maintainer: Ubuntu Core developers Original-Maintainer: Debian GCC Maintainers Installed-Size: 21389 Depends: gcc-5-base (= 5.4.0-6ubuntu1~16.04.12), libc6 (>= 2.14), libgmp10 (>= 2:5.0.1~), libisl15 (>= 0.15), libmpc3, libmpfr4 (>= 3.1.3), zlib1g (>= 1:1.1.4) Suggests: gcc-5-locales (>= 5.2.1-23) Replaces: gccgo-5 (<< 5.4.0-6ubuntu1~16.04.12) Filename: pool-stretch/gcc-5/cpp-5_5.4.0-6ubuntu1~16.04.12_amd64.deb Size: 7784358 MD5sum: 6d0da5dc81dffe05342869ab100e4c32 SHA1: ec8fc698c3b6685b0f9b5cfc4f098e6077611920 SHA256: 9ee6c2222ab75d6200f8af17b5c0767ae087d69eeadf9bdec3bc878721587c11 SHA512: b3b053487e4d7bca1f13ad0769c677b0d8ee4945890d9a8c4453ddb781636a6b27992bdb942ca457ccbdd7df661ff8872b0e6bdd90e00a48c88aea5a6e97d7e5 Homepage: http://gcc.gnu.org/ Description: GNU C preprocessor A macro processor that is used automatically by the GNU C compiler to transform programs before actual compilation. . 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Package: g++-5 Architecture: amd64 Version: 5.4.0-6ubuntu1~16.04.12 Priority: optional Section: devel Source: gcc-5 Maintainer: Ubuntu Core developers Original-Maintainer: Debian GCC Maintainers Installed-Size: 22851 Provides: c++-compiler, c++abi2-dev Depends: gcc-5-base (= 5.4.0-6ubuntu1~16.04.12), gcc-5 (= 5.4.0-6ubuntu1~16.04.12), libstdc++-5-dev (= 5.4.0-6ubuntu1~16.04.12), libc6 (>= 2.14), libgmp10 (>= 2:5.0.1~), libisl15 (>= 0.15), libmpc3, libmpfr4 (>= 3.1.3), zlib1g (>= 1:1.1.4) Suggests: g++-5-multilib, gcc-5-doc (>= 5.2.1-23), libstdc++6-5-dbg (>= 5.4.0-6ubuntu1~16.04.12) Filename: pool-stretch/gcc-5/g++-5_5.4.0-6ubuntu1~16.04.12_amd64.deb Size: 8430600 MD5sum: 991e8364062d961cb76b62425b03439a SHA1: 48d3b693bf3f56bbd7cc14a1afe6bfc96a7378aa SHA256: 145ff7e3126cbd39f03bfbf0d0a9dec3f83154748c642cbe41ce2f94fa7e7184 SHA512: a226f7c25d4e19d4b050567a33fe2d4e39143ccfee0d646233eb9895cf8b18014f65b7a3befa87919ca74ff2e3608851deaff0f903ec5f6c3cfe0d92216bc830 Homepage: http://gcc.gnu.org/ Description: GNU C++ compiler This is the GNU C++ compiler, a fairly portable optimizing compiler for C++. Package: gcc-5-base Architecture: amd64 Version: 5.4.0-6ubuntu1~16.04.12 Multi-Arch: same Priority: required Section: libs Source: gcc-5 Maintainer: Ubuntu Core developers Original-Maintainer: Debian GCC Maintainers Installed-Size: 66 Breaks: gcc-4.4-base (<< 4.4.7), gcc-4.7-base (<< 4.7.3), gcj-4.4-base (<< 4.4.6-9~), gcj-4.6-base (<< 4.6.1-4~), gnat-4.4-base (<< 4.4.6-3~), gnat-4.6 (<< 4.6.1-5~) Filename: pool-stretch/gcc-5/gcc-5-base_5.4.0-6ubuntu1~16.04.12_amd64.deb Size: 18394 MD5sum: cc0ea5e68d8fb6da126a48059f3b5187 SHA1: ed200cebb3624336f98cf3fa24db417bec53e4ce SHA256: 21d70da1c28823db34437e2b2d95377fbde7f72fa406e971ba81f5d40284fecb SHA512: 39defde3f49f6551e09933ed8a90372fc642cfde400d0b613366ee1e384008294335b2930ec9ea05b4a29d9faad7f3bf0feeaee02d8830f363f92ddfe6c06f86 Homepage: http://gcc.gnu.org/ Description: GCC, the GNU Compiler Collection (base package) This package contains files common to all languages and libraries contained in the GNU Compiler Collection (GCC). 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Package: libasan2 Architecture: amd64 Version: 5.4.0-6ubuntu1~16.04.12 Multi-Arch: same Priority: optional Section: libs Source: gcc-5 Maintainer: Ubuntu Core developers Original-Maintainer: Debian GCC Maintainers Installed-Size: 1059 Depends: gcc-5-base (= 5.4.0-6ubuntu1~16.04.12), libc6 (>= 2.23), libgcc1 (>= 1:3.3) Filename: pool-stretch/gcc-5/libasan2_5.4.0-6ubuntu1~16.04.12_amd64.deb Size: 265674 MD5sum: f98966d8f89f7f69d7f9c1c6773e3c75 SHA1: 73e959cd0962f71bcc9eb76f15bd9bbea08f6627 SHA256: 7d3b2787af35c05a79e0dba04be94037cea56ad32d2125ad61bd74e88361b1ca SHA512: 41e0412a9c8310758dafc01305cde52b97230f57a88e055e68c058319e830afcb404a0ee0cc4ba52a041b071fb6b1158777cc746253816b5782046c6167fe36b Homepage: http://gcc.gnu.org/ Description: AddressSanitizer -- a fast memory error detector AddressSanitizer (ASan) is a fast memory error detector. It finds use-after-free and {heap,stack,global}-buffer overflow bugs in C/C++ programs. Package: libgcc-5-dev Architecture: amd64 Version: 5.4.0-6ubuntu1~16.04.12 Multi-Arch: same Priority: optional Section: libdevel Source: gcc-5 Maintainer: Ubuntu Core developers Original-Maintainer: Debian GCC Maintainers Installed-Size: 12193 Depends: gcc-5-base (= 5.4.0-6ubuntu1~16.04.12), libgcc1 (>= 1:5.4.0-6ubuntu1~16.04.12), libgomp1 (>= 5.4.0-6ubuntu1~16.04.12), libitm1 (>= 5.4.0-6ubuntu1~16.04.12), libatomic1 (>= 5.4.0-6ubuntu1~16.04.12), libasan2 (>= 5.4.0-6ubuntu1~16.04.12), liblsan0 (>= 5.4.0-6ubuntu1~16.04.12), libtsan0 (>= 5.4.0-6ubuntu1~16.04.12), libubsan0 (>= 5.4.0-6ubuntu1~16.04.12), libcilkrts5 (>= 5.4.0-6ubuntu1~16.04.12), libmpx0 (>= 5.4.0-6ubuntu1~16.04.12), libquadmath0 (>= 5.4.0-6ubuntu1~16.04.12) Recommends: libc6-dev (>= 2.13-0ubuntu6) Replaces: gccgo-5 (<< 5.4.0-6ubuntu1~16.04.12) Filename: pool-stretch/gcc-5/libgcc-5-dev_5.4.0-6ubuntu1~16.04.12_amd64.deb Size: 2239990 MD5sum: 761b290016dfc1635267885268875652 SHA1: 636a9d3f90de661380c76805bc6c4f3313c64ffc SHA256: ea3047174bf7200af7e8dfb525c00f29536a75e0cb30f08bb257b0aa4365d0a0 SHA512: dd9bf777a679ae3caacb38d95f0033b5ce8ad27541e6bf3697dde7caaf481eb348400175cb6f380694946d1736a947649532e2beaea16561aa37be6573e5fba4 Homepage: http://gcc.gnu.org/ Description: GCC support library (development files) This package contains the headers and static library files necessary for building C programs which use libgcc, libgomp, libquadmath, libssp or libitm. Package: libmpx0 Architecture: amd64 Version: 5.4.0-6ubuntu1~16.04.12 Multi-Arch: same Priority: optional Section: libs Source: gcc-5 Maintainer: Ubuntu Core developers Original-Maintainer: Debian GCC Maintainers Installed-Size: 42 Depends: gcc-5-base (= 5.4.0-6ubuntu1~16.04.12), libc6 (>= 2.17) Filename: pool-stretch/gcc-5/libmpx0_5.4.0-6ubuntu1~16.04.12_amd64.deb Size: 10770 MD5sum: c5376635865b914dfac6ae5abc7f310e SHA1: cfd6e4a8248cf0f12f7dd6f823d1244d21ac8ce3 SHA256: 34fbcd88cac5132fad3aa662ff55a2c4e1456ee345d71dd01d3d7c15db5d39bc SHA512: 3eb7b7f1933c51155108477881e48ace349e63763b479a8315ff7182c69061e1b665b6836a96650526c567625bc0f3150e923d219e343531fed9cf0310317816 Homepage: http://gcc.gnu.org/ Description: Intel memory protection extensions (runtime) Intel MPX is a set of processor features which, with compiler, runtime library and OS support, brings increased robustness to software by checking pointer references whose compile time normal intentions are usurped at runtime due to buffer overflow. Package: libstdc++-5-dev Architecture: amd64 Version: 5.4.0-6ubuntu1~16.04.12 Multi-Arch: same Priority: optional Section: libdevel Source: gcc-5 Maintainer: Ubuntu Core developers Original-Maintainer: Debian GCC Maintainers Installed-Size: 15270 Provides: libstdc++-dev Depends: gcc-5-base (= 5.4.0-6ubuntu1~16.04.12), libgcc-5-dev (= 5.4.0-6ubuntu1~16.04.12), libstdc++6 (>= 5.4.0-6ubuntu1~16.04.12), libc6-dev (>= 2.13-0ubuntu6) Suggests: libstdc++-5-doc Conflicts: libg++2.8-dev, libg++27-dev, libg++272-dev (<< 2.7.2.8-1), libstdc++2.10-dev (<< 1:2.95.3-2), libstdc++2.8-dev, libstdc++2.9-dev, libstdc++2.9-glibc2.1-dev, libstdc++3.0-dev Filename: pool-stretch/gcc-5/libstdc++-5-dev_5.4.0-6ubuntu1~16.04.12_amd64.deb Size: 1428594 MD5sum: 9f424b3adae00beb819cb7dbc2e2cc28 SHA1: 91ac3811a1cd548e43ddf5822611ae9397d764da SHA256: 55f5c14dcf716685c9cd333fb3affcae4d7887d2db3e398f09cd0805f35f6a75 SHA512: 72477ff27ad5e8f4c7193dc07b13585a5e1dec24036fd94587409e5c66a34736d56c99ddbe060c3177eb228eb76bb924bb0e7cba678a9148c464894b78e263e8 Homepage: http://gcc.gnu.org/ Description: GNU Standard C++ Library v3 (development files) This package contains the headers and static library files necessary for building C++ programs which use libstdc++. . libstdc++-v3 is a complete rewrite from the previous libstdc++-v2, which was included up to g++-2.95. 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Package: cpp-4.9 Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: interpreters Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 16406 Depends: gcc-4.9-base (= 4.9.2-10), libc6 (>= 2.14), libcloog-isl4 (>= 0.17), libgmp10 (>= 2:5.0.1~), libisl10 (>= 0.10), libmpc3, libmpfr4 (>= 3.1.2), zlib1g (>= 1:1.1.4) Suggests: gcc-4.9-locales (>= 4.9) Replaces: gccgo-4.9 (<< 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/cpp-4.9_4.9.2-10_amd64.deb Size: 5169830 MD5sum: f56264d85e58337aa3d7285e1168b820 SHA1: 7fdb86a3630e508d2a5cff8e9555517f51c2adb8 SHA256: 7142e89c55d27c58d1498932d7911067a70d6e4af516a3ab63c3481b68814b95 SHA512: 6121b794682282c7480ef8a56fe7c30f189812f8391b32c482a949ea0ac185548c2426904d255b7529d2dd6d91c26e4cb1d9a88615ebe40663df8d8793129bb5 Homepage: http://gcc.gnu.org/ Description: GNU C preprocessor A macro processor that is used automatically by the GNU C compiler to transform programs before actual compilation. . 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On architectures with multilib support, the package contains files and dependencies for the non-default multilib architecture(s). 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Package: gcc-4.9-base Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: required Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 218 Breaks: dehydra (<= 0.9.hg20110609-2), gcc-4.4-base (<< 4.4.7), gcc-4.7-base (<< 4.7.3), gcj-4.4-base (<< 4.4.6-9~), gcj-4.6-base (<< 4.6.1-4~), gnat-4.4-base (<< 4.4.6-3~), gnat-4.6 (<< 4.6.1-5~) Filename: pool-stretch/gcc_4.9_from_jessie/gcc-4.9-base_4.9.2-10_amd64.deb Size: 160730 MD5sum: 0342288281aba01ec8efdd6643cc61fd SHA1: c2b4deaa69f405f4aca2f8a609a69fc0acaea253 SHA256: 9739b8ce7316b58d42fba7afe825b8fd1e9ad19db1467a8199f4489345d85d0e SHA512: 5428b7534ed815b00bc75412ca11c8a0f797638eaa6eb863aa1074220a7a1dbf5d59962beb21c02a50b16b14596aac082e1caf8e37632c446ab0a469aad53e78 Homepage: http://gcc.gnu.org/ Description: GCC, the GNU Compiler Collection (base package) This package contains files common to all languages and libraries contained in the GNU Compiler Collection (GCC). Package: gcc-4.9-locales Architecture: all Version: 4.9.2-10 Priority: optional Section: devel Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 9175 Depends: gcc-4.9-base (>= 4.9), cpp-4.9 (>= 4.9) Recommends: gcc-4.9 (>= 4.9) Filename: pool-stretch/gcc_4.9_from_jessie/gcc-4.9-locales_4.9.2-10_all.deb Size: 1444336 MD5sum: 3ca1c3c01ed3d15d46546697d3971fa7 SHA1: 07b8ca8a9a476f4b7ee977074e0f45563d827e33 SHA256: ad25b22c5dc36a010c37d1345934f1987c38de54901135df2e64eabf3d1de075 SHA512: cdfb73553f426b2ec35c16e7a75908816e47375e1807e01abe49b7e05ef862da1a9ea96fc4851424e7fe5956139aa46ea3d0208b820ebd25dc9f8210f474d1d6 Homepage: http://gcc.gnu.org/ Description: GCC, the GNU compiler collection (native language support files) Native language support for GCC. Lets GCC speak your language, if translations are available. . Please do NOT submit bug reports in other languages than "C". Always reset your language settings to use the "C" locales. Package: gcc-4.9-multilib Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: devel Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 21 Depends: gcc-4.9-base (= 4.9.2-10), gcc-4.9 (= 4.9.2-10), libc6-dev-i386 (>= 2.11), libc6-dev-x32 (>= 2.11), lib32gcc-4.9-dev (= 4.9.2-10), libx32gcc-4.9-dev (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/gcc-4.9-multilib_4.9.2-10_amd64.deb Size: 1962 MD5sum: daa51925079c04b34fee5533c903b61d SHA1: 6164d1a3578da9a6425b3637b89fcfaec36d5703 SHA256: 254641e59558a4b76edd9f3397c341375ed72cf876bfef93d9b94520b5031b15 SHA512: 0b355d6fccbe66702d251312b16c79b8661d22424a24a38a0f2308e5a8ddf1f99c53735ec96328e2c369d93b282c6c46f0355de46498a5fb4a0cdd469f019343 Homepage: http://gcc.gnu.org/ Description: GNU C compiler (multilib files) This is the GNU C compiler, a fairly portable optimizing compiler for C. . On architectures with multilib support, the package contains files and dependencies for the non-default multilib architecture(s). Package: gcc-4.9-plugin-dev Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: devel Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 6618 Depends: gcc-4.9-base (= 4.9.2-10), gcc-4.9 (= 4.9.2-10), libgmp-dev (>= 2:5.0.1~), libc6 (>= 2.14) Filename: pool-stretch/gcc_4.9_from_jessie/gcc-4.9-plugin-dev_4.9.2-10_amd64.deb Size: 807408 MD5sum: 450c2f13cd3da799c5656c04efd60b10 SHA1: 4040cfe02d684817683001d4d7c6aefd761f064d SHA256: 247f700556af1cc24e65735f2c8f8fe48ae7f95224523000a03708d5009bc545 SHA512: 0fe4f451341b4281da4d5ed97e4e3712a4664630930e13c1fb6e4e0deb4bcf025c86822dd4bb7a2f6c51a60c011d303e8bee9b075e63c501ac0df991675934be Homepage: http://gcc.gnu.org/ Description: Files for GNU GCC plugin development. This package contains (header) files for GNU GCC plugin development. It is only used for the development of GCC plugins, but not needed to run plugins. Package: gcc-4.9-source Architecture: all Version: 4.9.2-10 Priority: optional Section: devel Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 76945 Depends: make, autoconf2.64, quilt, patchutils, gawk Filename: pool-stretch/gcc_4.9_from_jessie/gcc-4.9-source_4.9.2-10_all.deb Size: 74290428 MD5sum: 0a0d2528dd2fe3e7e9fc7117aca2508c SHA1: 0a17f0ceb3393f5e50e87f5d65cf22a88c2afca6 SHA256: acf493f68c560106f7658a82ef82a1caeb85ee38e927271ae4441b8e21f5b499 SHA512: 1a70ab1a4d54225e54cb46b4d831f95dc17bf523dfd286bb3b76c8509748f9420973a033585a6b36dcd089666a274e8bfae7c9f4036ebbdc3ccac412136036bc Homepage: http://gcc.gnu.org/ Description: Source of the GNU Compiler Collection This package contains the sources and patches which are needed to build the GNU Compiler Collection (GCC). Package: gcc-4.9 Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: devel Maintainer: Debian GCC Maintainers Installed-Size: 17634 Provides: c-compiler Depends: cpp-4.9 (= 4.9.2-10), gcc-4.9-base (= 4.9.2-10), binutils (>= 2.25), libgcc-4.9-dev (= 4.9.2-10), libc6 (>= 2.14), libcloog-isl4 (>= 0.17), libgmp10 (>= 2:5.0.1~), libisl10 (>= 0.10), libmpc3, libmpfr4 (>= 3.1.2), zlib1g (>= 1:1.1.4) Recommends: libc6-dev (>= 2.13-5) Suggests: gcc-4.9-multilib, gcc-4.9-doc (>= 4.9), gcc-4.9-locales (>= 4.9), libgcc1-dbg (>= 1:4.9.2-10), libgomp1-dbg (>= 4.9.2-10), libitm1-dbg (>= 4.9.2-10), libatomic1-dbg (>= 4.9.2-10), libasan1-dbg (>= 4.9.2-10), liblsan0-dbg (>= 4.9.2-10), libtsan0-dbg (>= 4.9.2-10), libubsan0-dbg (>= 4.9.2-10), libcilkrts5-dbg (>= 4.9.2-10), libquadmath0-dbg (>= 4.9.2-10) Replaces: gccgo-4.9 (<< 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/gcc-4.9_4.9.2-10_amd64.deb Size: 5353254 MD5sum: 6a6ccb3e61291a4512f7762e4eb8a545 SHA1: 815a40547e727c8334548a69d311d6ce65ac6255 SHA256: db8a696452df28da92873d854f13cd4566d7c64e4aa7cd8131e5efcb03b07dee SHA512: a9d2c8f578de200532f3c3a1a242f5cd882e502330cd6e889f8e898ce695f36a604678d905d9b6097b696f1a537901db644a723d306d119c70eb274ddfdf6e13 Homepage: http://gcc.gnu.org/ Description: GNU C compiler This is the GNU C compiler, a fairly portable optimizing compiler for C. Package: gccgo-4.9-multilib Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: devel Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 41740 Depends: gcc-4.9-base (= 4.9.2-10), gccgo-4.9 (= 4.9.2-10), gcc-4.9-multilib (= 4.9.2-10), lib32go5 (>= 4.9.2-10), libx32go5 (>= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/gccgo-4.9-multilib_4.9.2-10_amd64.deb Size: 6503844 MD5sum: 4eb3dc41e3a1b6895c24a03a35ae4c62 SHA1: abace0000281c332687c495c91e175d7da234ed7 SHA256: 634b3ed60d81f7c4878750fb51811da1f3d972b0f45f49dce8182eed7985fbbe SHA512: 97bb994cb6024dbcf70e67a5e14feb998c6c4a11d85e717ad33cdf568be1acad08cb876e3e0297f6a9bbfd9d83936db93a05b3c1bd6ee075e415dbe20eeb9670 Homepage: http://gcc.gnu.org/ Description: GNU Go compiler (multilib files) This is the GNU Go compiler, which compiles Go on platforms supported by the gcc compiler. . On architectures with multilib support, the package contains files and dependencies for the non-default multilib architecture(s). Package: gccgo-4.9 Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: devel Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 46566 Provides: go-compiler Depends: gcc-4.9-base (= 4.9.2-10), gcc-4.9 (= 4.9.2-10), libgo5 (>= 4.9.2-10), libc6-dev (>= 2.13-5), libc6 (>= 2.14), libcloog-isl4 (>= 0.17), libgmp10 (>= 2:5.0.1~), libisl10 (>= 0.10), libmpc3, libmpfr4 (>= 3.1.2), zlib1g (>= 1:1.1.4) Suggests: gccgo-4.9-doc, libgo5-dbg (>= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/gccgo-4.9_4.9.2-10_amd64.deb Size: 8548284 MD5sum: 52166ea63be770291fd05f0a6ed0c983 SHA1: 728c25614e9aebe93279483d211810696eabd650 SHA256: d47ba176c8b4cef4b40193ab718367f874915915d8ac97ed7240b60d71025c2a SHA512: 8d0009ed5b782ffb952fdffef987a8fc392140d1dff0787c05f7205ed117bc769a1b581809c8543a876ecb6d69c25b1af6f51f7050e7c053f578d58108742f10 Homepage: http://gcc.gnu.org/ Description: GNU Go compiler This is the GNU Go compiler, which compiles Go on platforms supported by the gcc compiler. It uses the gcc backend to generate optimized code. Package: gcj-4.9-jdk Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: java Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 956 Provides: java-compiler, java-sdk, java2-sdk, java5-sdk Depends: gcc-4.9-base (= 4.9.2-10), gcc-4.9 (>= 4.9), libc6-dev (>= 2.13-5), gcj-4.9 (= 4.9.2-10), gcj-4.9-jre (= 4.9.2-10), libgcj15-dev (= 4.9.2-10), fastjar, libgcj-bc, java-common, libantlr-java, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libgcj15 (>= 4.9), zlib1g (>= 1:1.1.4), dpkg (>= 1.15.4) | install-info Recommends: libecj-java-gcj Suggests: gcj-4.9-source (>= 4.9), libgcj15-dbg (>= 4.9.2-10) Conflicts: cpp-4.1 (<< 4.1.1), gcc-4.1 (<< 4.1.1), gcj-4.4 Replaces: libgcj11 (<< 4.5-20100101-1) Filename: pool-stretch/gcc_4.9_from_jessie/gcj-4.9-jdk_4.9.2-10_amd64.deb Size: 458690 MD5sum: 4e14ab1cf35d6a969b41d7c543a5d3fe SHA1: cd06291cf123a0e0bb0339381d55c534b323a3fb SHA256: 873331cac956376c5f7674cb20414a3bd12bc0fa398a1c56be2c76b6ca5a17f6 SHA512: eca6e552c162f50b9b9744d905bc9c8b9e272ff31d9b72dd87ff6b4d734ae75d7d375832f4810a0ee90e814bc8af42f84370e690612e9f8b5f1a26924df3972e Homepage: http://gcc.gnu.org/ Description: GCJ and Classpath development tools for Java(TM) GCJ is a front end to the GCC compiler which can natively compile both Java(tm) source and bytecode files. The compiler can also generate class files. Other java development tools from classpath are included in this package. . The package contains as well a collection of wrapper scripts and symlinks. It is meant to provide a Java-SDK-like interface to the GCJ tool set. Package: gcj-4.9-jre-headless Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: java Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 276 Provides: java-runtime-headless, java1-runtime-headless, java2-runtime-headless, java5-runtime-headless Depends: gcc-4.9-base (= 4.9.2-10), gcj-4.9-jre-lib (>= 4.9), libgcj15 (= 4.9.2-10), libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), zlib1g (>= 1:1.1.4) Suggests: fastjar, gcj-4.9-jdk (= 4.9.2-10), libgcj15-awt (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/gcj-4.9-jre-headless_4.9.2-10_amd64.deb Size: 50360 MD5sum: da835bb3e2cd43fe11eedb9a4e4c2a9d SHA1: 247348af3d8f9d7822c711212b3f32c293d1ba99 SHA256: 23c216db9256ab6ec0a7ba20fc2ddba2269336ff2d30645ecf9784162b042512 SHA512: 86472311634a919bf694973b75431f6e8f965cc4f07bba2e608956bcae16ed305ef78bdc4f5ac1c966d29ad05ca186c44229809a80dd6b8e7b3a47b2e091a4fe Homepage: http://gcc.gnu.org/ Description: Java runtime environment using GIJ/Classpath (headless version) GIJ is a Java bytecode interpreter, not limited to interpreting bytecode. It includes a class loader which can dynamically load shared objects, so it is possible to give it the name of a class which has been compiled and put into a shared library on the class path. . The package contains as well a collection of wrapper scripts and symlinks. It is meant to provide a Java-RTE-like interface to the GIJ/GCJ tool set, limited to the headless tools and libraries. Package: gcj-4.9-jre-lib Architecture: all Version: 4.9.2-10 Priority: optional Section: java Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 11193 Depends: gcc-4.9-base (>= 4.9), libgcj15 (>= 4.9) Filename: pool-stretch/gcc_4.9_from_jessie/gcj-4.9-jre-lib_4.9.2-10_all.deb Size: 10349962 MD5sum: fbfeb3d171c9c17fb53e16f706a2c32f SHA1: 05d014a9c69236f28ab8b466dedda164832c5a19 SHA256: 1fb114b97f2691cd659f04f7e820a7dfc077b2850c79135849794c67a1beca50 SHA512: e57d1461ff4b81cadcf15dcbe443b357ce8bc5881d7bf9b58163789dffa0d5fdb954923c6ec2c3c7c0623eb3e8c91312dc356907b48bedc6fdabcc75a7934f70 Homepage: http://gcc.gnu.org/ Description: Java runtime library for use with gcj (jar files) This is the jar file that goes along with the gcj front end to gcc. Package: gcj-4.9-jre Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: java Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 49 Provides: java-runtime, java1-runtime, java2-runtime, java5-runtime Depends: gcc-4.9-base (= 4.9.2-10), gcj-4.9-jre-headless (= 4.9.2-10), libgcj15-awt (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/gcj-4.9-jre_4.9.2-10_amd64.deb Size: 2254 MD5sum: c3b2c673cf26459d5a4fbec32f9372f9 SHA1: 7f902e5d16b260b41e77c250e28934f7043f0973 SHA256: 160b30ddbfe34c4aa544adc43406ee21db11bccde31379515bf2939a8a8a0381 SHA512: edd9156324a8f1803bfceb3a96aa5cd6b63505b9525d79b585767769d8d66ae5d86ceea78b8123f26d228a7832f0fdabb815972a0e919e8db1dd299e7dd0493d Homepage: http://gcc.gnu.org/ Description: Java runtime environment using GIJ/Classpath GIJ is a Java bytecode interpreter, not limited to interpreting bytecode. It includes a class loader which can dynamically load shared objects, so it is possible to give it the name of a class which has been compiled and put into a shared library on the class path. . The package contains as well a collection of wrapper scripts and symlinks. It is meant to provide a Java-RTE-like interface to the GIJ/GCJ tool set. Package: gcj-4.9-source Architecture: all Version: 4.9.2-10 Priority: optional Section: java Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 12667 Depends: gcc-4.9-base (>= 4.9), gcj-4.9-jdk (>= 4.9) Filename: pool-stretch/gcc_4.9_from_jessie/gcj-4.9-source_4.9.2-10_all.deb Size: 11662602 MD5sum: 0abe255c7a1fb63563b17feddf6fc9b8 SHA1: dea3e1b40fa096e956bb3fdabfaf7e48ab44f9a1 SHA256: 95e113181985663fd0fd216ad940f9028e7c3089e87c5d1d69099c7c252b2bd6 SHA512: 8cf3a50062267a5e7341e848afb6019ea0fdcc16a2167e2c70b0fcb6d34d8e32593172e8068dd8e5507a71502e98a6a95fb29999ea90eb43ee3196b739d6127c Homepage: http://gcc.gnu.org/ Description: GCJ java sources for use in IDEs like eclipse and netbeans These are the java source files packaged as a zip file for use in development environments like eclipse and netbeans. Package: gcj-4.9 Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: java Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 16073 Depends: gcc-4.9-base (= 4.9.2-10), gcc-4.9 (>= 4.9), libc6-dev (>= 2.13-5), ecj-gcj, libecj-java-gcj (>= 3.5.1), libc6 (>= 2.14), libcloog-isl4 (>= 0.17), libgmp10 (>= 2:5.0.1~), libisl10 (>= 0.10), libmpc3, libmpfr4 (>= 3.1.2), zlib1g (>= 1:1.1.4), dpkg (>= 1.15.4) | install-info Filename: pool-stretch/gcc_4.9_from_jessie/gcj-4.9_4.9.2-10_amd64.deb Size: 4957786 MD5sum: e970f2a83a6ebf3f85f9d01924e3e0a8 SHA1: 0e6e3eebac49b5af182e855797e52aaf1cf9c562 SHA256: c48ea33a777d87a2fb30f6fa5ac1603260916a8ba416525e930f9a1d0d5ffd4f SHA512: 6e6668119ac47c1c4a88639feb5e0181a1bec3b73faf2bbf96016b04e240ecb2d70489c83de961aabdb27eb7d38891542bbc4be0276d6b4ae9304c1c91b568f0 Homepage: http://gcc.gnu.org/ Description: GCJ byte code and native compiler for Java(TM) GCJ is a front end to the GCC compiler which can natively compile both Java(tm) source and bytecode files. The compiler can also generate class files. Package: gdc-4.9 Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: devel Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 17913 Provides: d-compiler, d-v2-compiler, gdc Depends: gcc-4.9-base (>= 4.9), g++-4.9 (>= 4.9), libphobos-4.9-dev (>= 4.9), libc6 (>= 2.14), libcloog-isl4 (>= 0.17), libgmp10 (>= 2:5.0.1~), libisl10 (>= 0.10), libmpc3, libmpfr4 (>= 3.1.2), zlib1g (>= 1:1.1.4) Replaces: gdc (<< 4.4.6-5) Filename: pool-stretch/gcc_4.9_from_jessie/gdc-4.9_4.9.2-10_amd64.deb Size: 5679616 MD5sum: 41ee2cbd4f76f596197f2cd03b787d37 SHA1: b01da7e31039f8b060577e641121d1fa6643c5a5 SHA256: 339ac3ae3cd301c0d8229b9f726d8eb94b86815eb59f204d6dfed0e8cb7ad095 SHA512: c5901e37cf87a9887f992f811be5848b77208587d8f6b4bb856c0e19f6cdbf03f7d44f56d7526d474f607241728e65fa280bc677ca650c8583c0dc0268083f2c Homepage: http://gcc.gnu.org/ Description: GNU D compiler (version 2), based on the GCC backend This is the GNU D compiler, which compiles D on platforms supported by gcc. It uses the gcc backend to generate optimised code. . This compiler supports D language version 2. Package: gfortran-4.9-multilib Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: devel Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 21 Depends: gcc-4.9-base (= 4.9.2-10), gfortran-4.9 (= 4.9.2-10), gcc-4.9-multilib (= 4.9.2-10), lib32gfortran-4.9-dev (= 4.9.2-10), libx32gfortran-4.9-dev (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/gfortran-4.9-multilib_4.9.2-10_amd64.deb Size: 1966 MD5sum: 7cc2b335d644304bb90d6977c6114f1b SHA1: 471a84861fdada6f9da8502c80af79617fe4e7ac SHA256: 9d88cdc87c842f048867e8cbd5f8c373c883a6cacd6a8ce4ade569b51799538b SHA512: 4cd7dbeef0d35ca3732314ccbbdfe22f0752fa8737151f331349e42ae60883ec76cb76952433973347fce5a13fad6a95407d6c97e26563178ecb2af07a52501d Homepage: http://gcc.gnu.org/ Description: GNU Fortran compiler (multilib files) This is the GNU Fortran compiler, which compiles Fortran on platforms supported by the gcc compiler. . On architectures with multilib support, the package contains files and dependencies for the non-default multilib architecture(s). Package: gfortran-4.9 Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: devel Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 17113 Provides: fortran95-compiler, gfortran-mod-12 Depends: gcc-4.9-base (= 4.9.2-10), gcc-4.9 (= 4.9.2-10), libgfortran-4.9-dev (= 4.9.2-10), libc6-dev (>= 2.13-5), libc6 (>= 2.14), libcloog-isl4 (>= 0.17), libgmp10 (>= 2:5.0.1~), libisl10 (>= 0.10), libmpc3, libmpfr4 (>= 3.1.2), zlib1g (>= 1:1.1.4) Suggests: gfortran-4.9-multilib, gfortran-4.9-doc, libgfortran3-dbg (>= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/gfortran-4.9_4.9.2-10_amd64.deb Size: 5465720 MD5sum: f9c204f2ad69b184df3977512268bbca SHA1: 6bae5d10716024be784588c07322d50fdf45c1a8 SHA256: 94f2bb35153cbdf78a284171ea125854b5838894ebb225474dfb92f668fbd004 SHA512: 314d1ae2ae2c40a8023396f2332e951198ec8d29768643f41926b6a7fcc7c4be55ba0bc252341ff32e5749ef72b1cb6d7079071c6bd22e86a10258602c787d9c Homepage: http://gcc.gnu.org/ Description: GNU Fortran compiler This is the GNU Fortran compiler, which compiles Fortran on platforms supported by the gcc compiler. It uses the gcc backend to generate optimized code. Package: gobjc++-4.9-multilib Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: devel Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 21 Depends: gcc-4.9-base (= 4.9.2-10), gobjc++-4.9 (= 4.9.2-10), g++-4.9-multilib (= 4.9.2-10), gobjc-4.9-multilib (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/gobjc++-4.9-multilib_4.9.2-10_amd64.deb Size: 1966 MD5sum: 5cdde81b952c7196591e48343ad9cab9 SHA1: 3ab71238112223a2a25e2af26b0a20c2b830f34d SHA256: bfceed053a256b94cac489d1a08a4a541b537898f67887255a5ebc3a9cc4d519 SHA512: 4da2ed74ba0f3595e85d9e52054a2a96222c899a5d5062214908c1e179155044efaa5eb41472a8de308792e046fcd1c67982ae0fdd9318f797182084fd440a57 Homepage: http://gcc.gnu.org/ Description: GNU Objective-C++ compiler (multilib files) This is the GNU Objective-C++ compiler, which compiles Objective-C++ on platforms supported by the gcc compiler. . On architectures with multilib support, the package contains files and dependencies for the non-default multilib architecture(s). Package: gobjc++-4.9 Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: devel Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 16846 Provides: objc++-compiler Depends: gcc-4.9-base (= 4.9.2-10), gobjc-4.9 (= 4.9.2-10), g++-4.9 (= 4.9.2-10), libc6 (>= 2.14), libcloog-isl4 (>= 0.17), libgmp10 (>= 2:5.0.1~), libisl10 (>= 0.10), libmpc3, libmpfr4 (>= 3.1.2), zlib1g (>= 1:1.1.4), libobjc-4.9-dev (= 4.9.2-10) Suggests: gobjc++-4.9-multilib, gcc-4.9-doc (>= 4.9) Filename: pool-stretch/gcc_4.9_from_jessie/gobjc++-4.9_4.9.2-10_amd64.deb Size: 5404874 MD5sum: ff9569cc54f706f2adb2d0d41ffb0ce6 SHA1: 6261b429702eceeba87a81cff703c14b5d244e1c SHA256: 5fe4cd9711433e81df2e0898f2f9de26d79af900a1f82be10ad2dc2b407cc567 SHA512: 193651be751fc90a3b5120df38d3673ef62ab56f9b451e453e6134287d4c980616b7bba08f19b079a032910f032f92c60bba1e3d764fcd844276b8bf84b7b0ba Homepage: http://gcc.gnu.org/ Description: GNU Objective-C++ compiler This is the GNU Objective-C++ compiler, which compiles Objective-C++ on platforms supported by the gcc compiler. It uses the gcc backend to generate optimized code. Package: gobjc-4.9-multilib Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: devel Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 21 Depends: gcc-4.9-base (= 4.9.2-10), gobjc-4.9 (= 4.9.2-10), gcc-4.9-multilib (= 4.9.2-10), lib32objc-4.9-dev (= 4.9.2-10), libx32objc-4.9-dev (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/gobjc-4.9-multilib_4.9.2-10_amd64.deb Size: 1970 MD5sum: de3f3799019232e08588bbc7be80ad5b SHA1: 17ec25531b243af31182a4a5272b783d83cde148 SHA256: 8155c66a330c8f9e468f610654415f361ab068aecbf9abf0bbfa8f970bbfccef SHA512: 76cd0e454231d96b152f39a6e6b4138f76f94bd6d8f287c0fd89ca926a4016df3ce648f550c03c01e82ac87f521fe62a2d519aabdf8334f7affec68223cc46ee Homepage: http://gcc.gnu.org/ Description: GNU Objective-C compiler (multilib files) This is the GNU Objective-C compiler, which compiles Objective-C on platforms supported by the gcc compiler. . On architectures with multilib support, the package contains files and dependencies for the non-default multilib architecture(s). Package: gobjc-4.9 Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: devel Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 15755 Provides: objc-compiler Depends: gcc-4.9-base (= 4.9.2-10), gcc-4.9 (= 4.9.2-10), libc6-dev (>= 2.13-5), libc6 (>= 2.14), libcloog-isl4 (>= 0.17), libgmp10 (>= 2:5.0.1~), libisl10 (>= 0.10), libmpc3, libmpfr4 (>= 3.1.2), zlib1g (>= 1:1.1.4), libobjc-4.9-dev (= 4.9.2-10) Suggests: gobjc-4.9-multilib, gcc-4.9-doc (>= 4.9), libobjc4-dbg (>= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/gobjc-4.9_4.9.2-10_amd64.deb Size: 4990802 MD5sum: 41cbb4514298054e6f9d177fe0865e3a SHA1: 48a699a65bebae5c3c96c27d72d5b09bd986f247 SHA256: a7899aeec3484dcd9236521c1509f36e9bc1a711942fcb470badb7beba737395 SHA512: 9707e88486ccbfa680705f5e7d9fc3a1af07fd7dde98858327d3b06f832ac0014797e95986777b6304b7d645b82424caf958a03fa044a9d2c7ff75845dfaa300 Homepage: http://gcc.gnu.org/ Description: GNU Objective-C compiler This is the GNU Objective-C compiler, which compiles Objective-C on platforms supported by the gcc compiler. It uses the gcc backend to generate optimized code. Package: lib32asan1-dbg Architecture: amd64 Version: 4.9.2-10 Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 2206 Depends: gcc-4.9-base (= 4.9.2-10), lib32asan1 (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/lib32asan1-dbg_4.9.2-10_amd64.deb Size: 572104 MD5sum: 6d60f44a12637f189e958d3c8bdd1849 SHA1: 35f086dcc6540cba7b4b5a6fab5e607598109535 SHA256: 6083ced70dcb35783b8f4ab053cc3b92e4e1771172b080cacaf4eaa271e2f6f9 SHA512: c0a99bdf3a7ad9dc02b241b1611256ad17471065a206240254e85634ae6443dd3fa733a7a0881b03b625db202239d5c6c52caf33af16456ab7b2237551e78023 Homepage: http://gcc.gnu.org/ Description: AddressSanitizer -- a fast memory error detector (32 bit debug symbols) AddressSanitizer (ASan) is a fast memory error detector. It finds use-after-free and {heap,stack,global}-buffer overflow bugs in C/C++ programs. Package: lib32asan1 Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 681 Depends: gcc-4.9-base (= 4.9.2-10), lib32gcc1 (>= 1:4.1.1), lib32stdc++6 (>= 4.1.1), libc6-i386 (>= 2.3) Conflicts: libc6-i386 (<< 2.9-22) Filename: pool-stretch/gcc_4.9_from_jessie/lib32asan1_4.9.2-10_amd64.deb Size: 186222 MD5sum: 380c858a68409ec9aa1d0ce64de3d471 SHA1: 33705e4345f52cc8a1c84e91891f10195f985094 SHA256: 5fc86a8ccce6c9bbadaeff5b8c4a858bb94b3aaf8ced079f42c6d247056fb223 SHA512: 70e92db9f4960196c2714bed311f62d3b3811c47f167a0a2cdf202ae7a6158df58b0ffb77ecad5e06eed564961278bc2b7519f6a9f44ee8fe7e19e289b007806 Homepage: http://gcc.gnu.org/ Description: AddressSanitizer -- a fast memory error detector (32bit) AddressSanitizer (ASan) is a fast memory error detector. It finds use-after-free and {heap,stack,global}-buffer overflow bugs in C/C++ programs. Package: lib32atomic1-dbg Architecture: amd64 Version: 4.9.2-10 Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 107 Depends: gcc-4.9-base (= 4.9.2-10), lib32atomic1 (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/lib32atomic1-dbg_4.9.2-10_amd64.deb Size: 14448 MD5sum: 15d73529ecd97c2d650249ed0e53c4d8 SHA1: b4b11c069bc6fe5c70e0d5220e4cbf4484b080b9 SHA256: 8baf7a252b11d7b573b7b5265149fff31c82372ca3c2863c67e6af49b734284d SHA512: 0aae253bc8dedda9c3462140c01ebfba477bd2bff9890a9926d67e8d0557848836fc851ba47a3cfe1554d775d56923101d11240717c1cfe0c34fc2cac59d038a Homepage: http://gcc.gnu.org/ Description: support library providing __atomic built-in functions (32 bit debug symbols) library providing __atomic built-in functions. When an atomic call cannot be turned into lock-free instructions, GCC will make calls into this library. Package: lib32atomic1 Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 48 Depends: gcc-4.9-base (= 4.9.2-10), libc6-i386 (>= 2.1.3) Conflicts: libc6-i386 (<< 2.9-22) Filename: pool-stretch/gcc_4.9_from_jessie/lib32atomic1_4.9.2-10_amd64.deb Size: 9590 MD5sum: 33ac7d94bc34b0efb8c2d3205920dcb4 SHA1: 721662ebb0d881aedcfcbf1cc3d9a6ccb866e578 SHA256: 9bf256e42a7b603f7329ecbd807f4602c08d30481547035dea78a611a85cbd50 SHA512: 51fd414472eb2f91df03c0d11b5132d5ed3b2a29dabc8f38815ea9479bf49d667b78747a3a72653d7c834d029f6c4cce5a3b500e9e1c7ce3cded8816499a3efd Homepage: http://gcc.gnu.org/ Description: support library providing __atomic built-in functions (32bit) library providing __atomic built-in functions. When an atomic call cannot be turned into lock-free instructions, GCC will make calls into this library. Package: lib32cilkrts5-dbg Architecture: amd64 Version: 4.9.2-10 Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 340 Depends: gcc-4.9-base (= 4.9.2-10), lib32cilkrts5 (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/lib32cilkrts5-dbg_4.9.2-10_amd64.deb Size: 92902 MD5sum: f5af89492b492a8cc729048fe87a735d SHA1: 4f093c9d9e8aedb99e724abf26aeecd83dc88726 SHA256: 8c90a94eefc16668e8fe39790c7b35cc2c28beacf247f4cacb7af8c961408f24 SHA512: a3748f6ccee21cacca2660db3010d203ce984772e9fbe6c22f58cb0e83c8f8305e1240f4751319d5288bac9e9285bc8c26cbbb7376688c124e70626740a97484 Homepage: http://gcc.gnu.org/ Description: Intel Cilk Plus language extensions (32 bit debug symbols) Intel Cilk Plus is an extension to the C and C++ languages to support data and task parallelism. Package: lib32cilkrts5 Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 141 Depends: gcc-4.9-base (= 4.9.2-10), lib32gcc1 (>= 1:4.8), lib32stdc++6 (>= 4.1.1), libc6-i386 (>= 2.2) Conflicts: libc6-i386 (<< 2.9-22) Filename: pool-stretch/gcc_4.9_from_jessie/lib32cilkrts5_4.9.2-10_amd64.deb Size: 43768 MD5sum: 48fc6c58af0fc845d631331c38815ef2 SHA1: 0af97e9435918b54757d0205f0e498e6ded978d9 SHA256: dc3e4841a10c8af5e635bb75c298b3fadcbd9551196c7b2397cc9e8d4312a0e3 SHA512: 9db26523eaa78216bdd6153ad7f8593248611468d27526d66a0db1141f6d78e9e9c8cf4a2801223ae023d194841fbadf13e29aa44c588c8180d89923d9de6596 Homepage: http://gcc.gnu.org/ Description: Intel Cilk Plus language extensions (32bit) Intel Cilk Plus is an extension to the C and C++ languages to support data and task parallelism. Package: lib32gcc-4.9-dev Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: libdevel Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 6318 Depends: gcc-4.9-base (= 4.9.2-10), lib32gcc1 (>= 1:4.9.2-10), libx32gcc1 (>= 1:4.9.2-10), lib32gomp1 (>= 4.9.2-10), libx32gomp1 (>= 4.9.2-10), lib32itm1 (>= 4.9.2-10), libx32itm1 (>= 4.9.2-10), lib32atomic1 (>= 4.9.2-10), libx32atomic1 (>= 4.9.2-10), lib32asan1 (>= 4.9.2-10), libx32asan1 (>= 4.9.2-10), lib32ubsan0 (>= 4.9.2-10), libx32ubsan0 (>= 4.9.2-10), lib32cilkrts5 (>= 4.9.2-10), libx32cilkrts5 (>= 4.9.2-10), lib32quadmath0 (>= 4.9.2-10), libx32quadmath0 (>= 4.9.2-10) Recommends: libc6-dev (>= 2.13-5) Filename: pool-stretch/gcc_4.9_from_jessie/lib32gcc-4.9-dev_4.9.2-10_amd64.deb Size: 1914830 MD5sum: 39d3da18fa84737af5e863976d565efb SHA1: febdb136d9f2a9ae30e9e1b5d25cb805be36dab3 SHA256: 59fff11588b0e259e6fd932f665a1d3113096f78f77789fc30f5221a78fe1565 SHA512: 1fbaf6b4cb1e6095bc80df79f777e1bb87513ff7b6aa73f1a73d7f4781ee6215142fdb5bb9943b3263118eb2a77bc67915c7b06a53406c15988166cde09a2a87 Homepage: http://gcc.gnu.org/ Description: GCC support library (32 bit development files) This package contains the headers and static library files necessary for building C programs which use libgcc, libgomp, libquadmath, libssp or libitm. Package: lib32gcc1-dbg Architecture: amd64 Version: 1:4.9.2-10 Priority: extra Section: debug Source: gcc-4.9 (4.9.2-10) Maintainer: Debian GCC Maintainers Installed-Size: 386 Depends: gcc-4.9-base (= 4.9.2-10), lib32gcc1 (= 1:4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/lib32gcc1-dbg_4.9.2-10_amd64.deb Size: 85380 MD5sum: bdc41c29191569a0b9cc6215041d06e4 SHA1: bcf54ed26141ee49ebbea449798092334bc34d54 SHA256: ad3f2f07492b77c034d9aaa975ffca09e42c8946f63efae383382afda46b076c SHA512: 29518ea22f54fd9520ca3c9fc9aa7771c143bef09d2092779ab0685e6ed6decec643808eeabd6e8fcb53128513b91bbf7a7350f459ed30b0ec8312126e50dc13 Homepage: http://gcc.gnu.org/ Description: GCC support library (debug symbols) Debug symbols for the GCC support library. Package: lib32gcc1 Architecture: amd64 Version: 1:4.9.2-10 Priority: optional Section: libs Source: gcc-4.9 (4.9.2-10) Maintainer: Debian GCC Maintainers Installed-Size: 141 Depends: gcc-4.9-base (= 4.9.2-10), libc6-i386 (>= 2.2.4) Conflicts: libc6-i386 (<< 2.9-22) Filename: pool-stretch/gcc_4.9_from_jessie/lib32gcc1_4.9.2-10_amd64.deb Size: 48914 MD5sum: 0c18f681ac5f2a2e89e4edfbb3fc904a SHA1: 2a0d0cc21058fa40c0124944c77462cb73c0d803 SHA256: dcbc6c62953fa66559b9dc517dbe716f998d448a771d8bff6f0add0d27fb02e2 SHA512: fa84d606d2ca581b54c50508247c7db796557c7c2a40f64ff8cea03b15e5618e046934c9b5f01fbde99cf5684f95cfffa9538e035c944a03dd4b8593a7ad0673 Homepage: http://gcc.gnu.org/ Description: GCC support library (32 bit Version) Shared version of the support library, a library of internal subroutines that GCC uses to overcome shortcomings of particular machines, or special needs for some languages. Package: lib32gfortran-4.9-dev Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: libdevel Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 2070 Depends: gcc-4.9-base (= 4.9.2-10), lib32gcc-4.9-dev (= 4.9.2-10), lib32gfortran3 (>= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/lib32gfortran-4.9-dev_4.9.2-10_amd64.deb Size: 262818 MD5sum: 43972e54234a5124429ad566b3eeb0bc SHA1: 5b8d3bf913df033634442c94b0a02271ee04c156 SHA256: b93f69ee74bf3f7b49f6459e9505c3e74de9ad7a7b769d28d5014ce0e9d46fa6 SHA512: c2e934a64e86ef469f30546350505e5b2564eca775eb8149936b9d0ff82476dfdd6d72e30d806d1fb9c2c2f45f73bd13612610c58c0f6555dbef9422e95bd1ff Homepage: http://gcc.gnu.org/ Description: Runtime library for GNU Fortran applications (32bit development files) This package contains the headers and static library files needed to build GNU Fortran applications. Package: lib32gfortran3-dbg Architecture: amd64 Version: 4.9.2-10 Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 2686 Depends: gcc-4.9-base (= 4.9.2-10), lib32gfortran3 (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/lib32gfortran3-dbg_4.9.2-10_amd64.deb Size: 463466 MD5sum: 88656ec47585edc4ee55ff7228bad456 SHA1: d222887a643a341f1375e3e94febe689a5128627 SHA256: 803cf70f32dd83a194694e481c5097d16474ff4ad87fa2548656203f140ea67f SHA512: 99dfa966e668b19b3660aae81b72aab319cd6971b9beace5453ed70df2068080154688a73aadb8e1dd6e36af6f643584f73f2f8d75bd29825e2ac4417b2437b6 Homepage: http://gcc.gnu.org/ Description: Runtime library for GNU Fortran applications (32 bit debug symbols) Library needed for GNU Fortran applications linked against the shared library. Package: lib32gfortran3 Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 1142 Depends: gcc-4.9-base (= 4.9.2-10), lib32gcc1 (>= 1:4.4.0), lib32quadmath0 (>= 4.6), libc6-i386 (>= 2.17) Conflicts: libc6-i386 (<< 2.9-22) Filename: pool-stretch/gcc_4.9_from_jessie/lib32gfortran3_4.9.2-10_amd64.deb Size: 236082 MD5sum: c3fd132bdf002173beba657d8c2a5c3a SHA1: 6f812d17ed02505c2fd200ad73611a50483017c9 SHA256: 9b9ca8d94bec43ec14444742f1cb3d9cda6bb4126f100826fceec6b7f9fd2066 SHA512: 11d66df65604121a112eea3f4051facab433fec4ffa046429174807f4d32e1f580232aa5e1ef1a13e6228c093a93a6df8dca703adf26ab6c23ceb1946b090b43 Homepage: http://gcc.gnu.org/ Description: Runtime library for GNU Fortran applications (32bit) Library needed for GNU Fortran applications linked against the shared library. Package: lib32go5-dbg Architecture: amd64 Version: 4.9.2-10 Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 7117 Depends: gcc-4.9-base (= 4.9.2-10), lib32go5 (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/lib32go5-dbg_4.9.2-10_amd64.deb Size: 1834114 MD5sum: a38c081e7613241893a009add1c512bd SHA1: 38921f3849097f35800496339fc82e58651cac6f SHA256: 9e8a8ebf437bb8f99e93fd4d0de42061a7f1fa5e8ce239b2fbfdd45bad6f0d55 SHA512: 952ffe198d13ae68e1b0d14ab654a107e2df4c0217944735fba1f3db2f2baa4e0162b500b1a2091cc909adb20047a88a04a4a731c284722f10ae6ff8fdcfd0e3 Homepage: http://gcc.gnu.org/ Description: Runtime library for GNU Go applications (32 bit debug symbols) Library needed for GNU Go applications linked against the shared library. Package: lib32go5 Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 11671 Depends: gcc-4.9-base (= 4.9.2-10), lib32gcc1 (>= 1:4.1.1), libc6-i386 (>= 2.10) Conflicts: libc6-i386 (<< 2.9-22) Replaces: lib32go3 Filename: pool-stretch/gcc_4.9_from_jessie/lib32go5_4.9.2-10_amd64.deb Size: 2459836 MD5sum: 99db31f62c3ea3b3d91bb028f251a67e SHA1: 455793ef82b6a92518cf5afe7727e498184c2c77 SHA256: 32627f7e2f6707b899e2c3667d0985f36e22ad8325236835a9bb59e83e96b08c SHA512: aaf989c9498bde1d3563f5b3f7cbaec4190a675a1b3f955189b0aca4e5f72b8a01e56bc2a540b11d6d84a44f8026970362ecda3af735a9f4bda004df790dfe03 Homepage: http://gcc.gnu.org/ Description: Runtime library for GNU Go applications (32bit) Library needed for GNU Go applications linked against the shared library. Package: lib32gomp1-dbg Architecture: amd64 Version: 4.9.2-10 Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 308 Depends: gcc-4.9-base (= 4.9.2-10), lib32gomp1 (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/lib32gomp1-dbg_4.9.2-10_amd64.deb Size: 79818 MD5sum: bc2b142b932b2b49987cb24d65fa080b SHA1: 5b1d27a2d2bb958b07f6141d002ead7c3d2f7ea2 SHA256: 504b00c78323bb4b27e31ebd8dc4259f218d3011dcecd47dca245bc5c950bd5b SHA512: a78ccac087dd4496e9ad015096e8b2b40c50dedd0cc6f41ddcc8f6c3bd3d7061220be1e8f741a0d4f5441d3cb4abebd6291bb60f79489df549c9b73dfcb4671c Homepage: http://gcc.gnu.org/ Description: GCC OpenMP (GOMP) support library (32 bit debug symbols) GOMP is an implementation of OpenMP for the C, C++, and Fortran compilers in the GNU Compiler Collection. Package: lib32gomp1 Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 126 Depends: gcc-4.9-base (= 4.9.2-10), libc6-i386 (>= 2.17) Conflicts: libc6-i386 (<< 2.9-22) Filename: pool-stretch/gcc_4.9_from_jessie/lib32gomp1_4.9.2-10_amd64.deb Size: 41666 MD5sum: 3c1b4eb5d2298f46d01856fb240141fb SHA1: d584ddd7d28b5e0a7a3fa4371e600f07d04a88c8 SHA256: 747ebc3498e7256bf7a79d3bff7e2467212fb2f87911e68442007ea28d3d7a5a SHA512: 67c0da8fc96147d85695cf3e08e9b87a14ec11fb56ad5603b9f2b170125600c443624ec639cc231e1df3ba055a66eecbb13b1a649315a73cc46b603bc5676103 Homepage: http://gcc.gnu.org/ Description: GCC OpenMP (GOMP) support library (32bit) GOMP is an implementation of OpenMP for the C, C++, and Fortran compilers in the GNU Compiler Collection. Package: lib32itm1-dbg Architecture: amd64 Version: 4.9.2-10 Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 864 Depends: gcc-4.9-base (= 4.9.2-10), lib32itm1 (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/lib32itm1-dbg_4.9.2-10_amd64.deb Size: 179504 MD5sum: 959b57c55c9363c0e2de25e591a6e6ae SHA1: 21a71460d9d9d22d0368219fb77eb3c7de83e657 SHA256: c325817f3ce195f7bd301350a7f718715f968b8197b95ecdf4232c4b2ae7c8cf SHA512: c28da69b13f4e08d6b17ebf8bac2ca158c9a63a5681ead509dc26d9193fd122dec8bf4af1271cf4c6383263cc80cd87b4356a7b2a8522506b77fefbe5c00cf82 Homepage: http://gcc.gnu.org/ Description: GNU Transactional Memory Library (32 bit debug symbols) GNU Transactional Memory Library (libitm) provides transaction support for accesses to the memory of a process, enabling easy-to-use synchronization of accesses to shared memory by several threads. Package: lib32itm1 Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 150 Depends: gcc-4.9-base (= 4.9.2-10), libc6-i386 (>= 2.3) Conflicts: libc6-i386 (<< 2.9-22) Filename: pool-stretch/gcc_4.9_from_jessie/lib32itm1_4.9.2-10_amd64.deb Size: 31134 MD5sum: c4c0c68f38fc410a36f38b87b411c1fa SHA1: 734a20963a18d5ee47261d8411109d0785911a6b SHA256: b66e0731e4c1828f9a4d211a22bbc723a7d8f37d7eead125e098be05380e871d SHA512: 23d5bfb6408623593d4e2946f66991b7a8f77eb19a8ec1f4774bd90034f59cb2aa9146deb8b4365b561b875e8b7463332ea781b6dbc48d17e5d7cb583a28da75 Homepage: http://gcc.gnu.org/ Description: GNU Transactional Memory Library (32bit) GNU Transactional Memory Library (libitm) provides transaction support for accesses to the memory of a process, enabling easy-to-use synchronization of accesses to shared memory by several threads. Package: lib32lsan0-dbg Architecture: amd64 Version: 4.9.2-10 Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 21 Depends: gcc-4.9-base (= 4.9.2-10), lib32lsan0 (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/lib32lsan0-dbg_4.9.2-10_amd64.deb Size: 1892 MD5sum: 263e944ed01ad19e6e793a9d9bffc8b2 SHA1: e77ee2961c3a03e2860cea952ee4a48c7a56de5b SHA256: ae6d8ced9764e451a4459509ca3898fc464b2977bca9456a4f4aa8ad9beac88b SHA512: 149c134c363a4e13d38770ec54e12afea3203b27d4975b7343d8b30324c196f3ab44dccd703e191170ec7a1e74f4328f5703582250523e72eabb423c776c721a Homepage: http://gcc.gnu.org/ Description: LeakSanitizer -- a memory leak detector (32 bit debug symbols) LeakSanitizer (Lsan) is a memory leak detector which is integrated into AddressSanitizer. Package: lib32lsan0 Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 25 Depends: gcc-4.9-base (= 4.9.2-10) Conflicts: libc6-i386 (<< 2.9-22) Filename: pool-stretch/gcc_4.9_from_jessie/lib32lsan0_4.9.2-10_amd64.deb Size: 1898 MD5sum: 46f9676ad899067414a31b8e4cbe4f3f SHA1: aefd7c684fab9c47a57dfa9ff2bb0e06dba475bd SHA256: 48c9043a61cf1bf2634a7286940e27085652f67efab7d95bbfa78657ab19982d SHA512: 54ca40a03622a3542a52464f0a25746f3b61728b36d555424190ad1e9e972eeb6b44bca1fb2e2731a4c70a680ff98037a13e7f1e7db6c28581cc433d0b10e28d Homepage: http://gcc.gnu.org/ Description: LeakSanitizer -- a memory leak detector (32bit) LeakSanitizer (Lsan) is a memory leak detector which is integrated into AddressSanitizer. Package: lib32objc-4.9-dev Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: libdevel Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 1770 Depends: gcc-4.9-base (= 4.9.2-10), lib32gcc-4.9-dev (= 4.9.2-10), lib32objc4 (>= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/lib32objc-4.9-dev_4.9.2-10_amd64.deb Size: 328478 MD5sum: 799d823dedb970fb831fdf438eeeb836 SHA1: 06ee5fb933c6778fd64c549b256b1fdd6d861994 SHA256: ace1fc4a1d4357a767a72932ba4c6b2fa8d857d3d2184285204231310a892d28 SHA512: afb512191b1f9d4cbd87fa334e2e33f79bd55f81aae15f1252b9d1185d6bf35ef5c69f92851977efdc2c70e7caf68ab75fc27651ba819a55008ad76ea2fcf396 Homepage: http://gcc.gnu.org/ Description: Runtime library for GNU Objective-C applications (32bit development files) This package contains the headers and static library files needed to build GNU ObjC applications. Package: lib32objc4-dbg Architecture: amd64 Version: 4.9.2-10 Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 720 Depends: gcc-4.9-base (= 4.9.2-10), lib32objc4 (= 4.9.2-10), lib32gcc1-dbg (>= 1:4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/lib32objc4-dbg_4.9.2-10_amd64.deb Size: 182878 MD5sum: 9a30a4003092983fd2b47d45aecc137e SHA1: 86b5dc105c9ee1a4b2a8eceafb68daa7504eb441 SHA256: b6bd3bddc64d2f7d144821ed3e8fd203a01fd1fe65ff2300dcd124b24385dca3 SHA512: 0c8175e24272c398dd8c64145ca026684487b7f9adbc18dab02e8ec9a612e3ad8d3935ba9b6998b8a55d8a8b51f8c00d832295edbc2cbbd76004ba039d8feecb Homepage: http://gcc.gnu.org/ Description: Runtime library for GNU Objective-C applications (32 bit debug symbols) Library needed for GNU ObjC applications linked against the shared library. Package: lib32objc4 Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 435 Depends: gcc-4.9-base (= 4.9.2-10), lib32gcc1 (>= 1:4.1.1), libc6-i386 (>= 2.3.2) Conflicts: libc6-i386 (<< 2.9-22) Filename: pool-stretch/gcc_4.9_from_jessie/lib32objc4_4.9.2-10_amd64.deb Size: 118486 MD5sum: 6f9e8ee6a1189bfba83873577d1a52f4 SHA1: 1198df84560c80ea88ce078fb7f60d5faa3b1110 SHA256: 0d69f17076a71a0939c91e251a06d6d21cdb27b6e104f49e4d947043bc662d6a SHA512: 552d1ba0785d441d234c953bd3f6198e3d469ecf60468a86ec77c3973a27ca13b2a95e0f9ea1894dc8da8291ac107252d98c75044156b002a52237162f883d25 Homepage: http://gcc.gnu.org/ Description: Runtime library for GNU Objective-C applications (32bit) Library needed for GNU ObjC applications linked against the shared library. Package: lib32quadmath0-dbg Architecture: amd64 Version: 4.9.2-10 Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 608 Depends: gcc-4.9-base (= 4.9.2-10), lib32quadmath0 (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/lib32quadmath0-dbg_4.9.2-10_amd64.deb Size: 154790 MD5sum: 8379ef531b4eb1809fab23e013c731ef SHA1: 781e1585d9caaae6c380cbd533585523edf7cc56 SHA256: 21cab03ddddc0b296c3b9ddb0691250c01440f33e0ec6bcfe1bb5814eef12df8 SHA512: d6feddd077dc85dd0fb918bb24384223a457d9eb576d2ee2bbaada4fcfddd6ce0c8ee949f9232a5f0fef61be190aac7b223f0e14b80b5c0873d101e62285b5d3 Homepage: http://gcc.gnu.org/ Description: GCC Quad-Precision Math Library (32 bit debug symbols) A library, which provides quad-precision mathematical functions on targets supporting the __float128 datatype. Package: lib32quadmath0 Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 593 Depends: gcc-4.9-base (= 4.9.2-10), libc6-i386 (>= 2.10) Conflicts: libc6-i386 (<< 2.9-22) Filename: pool-stretch/gcc_4.9_from_jessie/lib32quadmath0_4.9.2-10_amd64.deb Size: 194206 MD5sum: e237f52d62fd56f5e6e31636b6d9c710 SHA1: c0a996cb12fceeb04be9d44e952d6ae6d48e03c0 SHA256: da0a065d8164140c5cd174c01d7abd67dab2859db0c1a8896bbc0cf2ae1eccd0 SHA512: 17b9abf14abb7b4d9942115f0198624c792234f247e62b6e0ed615156f9cf8c934192f6f2c84d58c8f2eae9113fe18ef5f1873b5ed188949ba4fa7ca285c2478 Homepage: http://gcc.gnu.org/ Description: GCC Quad-Precision Math Library (32bit) A library, which provides quad-precision mathematical functions on targets supporting the __float128 datatype. The library is used to provide on such targets the REAL(16) type in the GNU Fortran compiler. Package: lib32stdc++-4.9-dev Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: libdevel Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 5735 Depends: gcc-4.9-base (= 4.9.2-10), lib32gcc-4.9-dev (= 4.9.2-10), lib32stdc++6 (>= 4.9.2-10), libstdc++-4.9-dev (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/lib32stdc++-4.9-dev_4.9.2-10_amd64.deb Size: 358732 MD5sum: 362abd6c26c221c1c17bf0724daec9c4 SHA1: 5fbede861ec26cdc9a9e1759f0cff72e436edfd2 SHA256: 34dbe012ddd67c6bedfb3dfacf9a588080205f5d84f98e0e190903d6c7521bd2 SHA512: cdea943d82e33a65c27d0c22f786e711c47c03d2aa31df8bc0d5df66365b84b0a550272f6ab28463b0b83df48b4a236552095a56740608f55927fd8e3fa903b5 Homepage: http://gcc.gnu.org/ Description: GNU Standard C++ Library v3 (development files) This package contains the headers and static library files necessary for building C++ programs which use libstdc++. . libstdc++-v3 is a complete rewrite from the previous libstdc++-v2, which was included up to g++-2.95. The first version of libstdc++-v3 appeared in g++-3.0. Package: lib32stdc++6-4.9-dbg Architecture: amd64 Version: 4.9.2-10 Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 21096 Depends: gcc-4.9-base (= 4.9.2-10), lib32stdc++6 (>= 4.9.2-10), libstdc++-4.9-dev (= 4.9.2-10), lib32gcc1-dbg (>= 1:4.9.2-10), lib32gcc1 (>= 1:4.1.1), libc6-i386 (>= 2.18) Conflicts: lib32stdc++6-4.0-dbg, lib32stdc++6-4.1-dbg, lib32stdc++6-4.2-dbg, lib32stdc++6-4.3-dbg, lib32stdc++6-4.4-dbg, lib32stdc++6-4.5-dbg, lib32stdc++6-4.6-dbg, lib32stdc++6-4.7-dbg, lib32stdc++6-4.8-dbg, lib32stdc++6-dbg Filename: pool-stretch/gcc_4.9_from_jessie/lib32stdc++6-4.9-dbg_4.9.2-10_amd64.deb Size: 3540090 MD5sum: 857a180e7dd006750370dd65bae109bd SHA1: 327881f9e0be682f5e8fcaa092aa4996bea62820 SHA256: 3f34f5d9b7ef42818d481d19b95896ea49675320293c8abed48a1372ac361871 SHA512: d50c0e92ced79d63844b2a8463ca8987a1d6f6d6c7ee1421745407ec9981f88093c97db1b17d28f7031550f997138fa4955f8b7e7d72cde1a400251e8d7d8618 Homepage: http://gcc.gnu.org/ Description: GNU Standard C++ Library v3 (debugging files) This package contains the shared library of libstdc++ compiled with debugging symbols. Package: lib32stdc++6 Architecture: amd64 Version: 4.9.2-10 Priority: extra Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 1208 Depends: gcc-4.9-base (= 4.9.2-10), lib32gcc1 (>= 1:4.1.1), libc6-i386 (>= 2.18) Conflicts: libc6-i386 (<< 2.9-22) Filename: pool-stretch/gcc_4.9_from_jessie/lib32stdc++6_4.9.2-10_amd64.deb Size: 280910 MD5sum: 85521226ca106e9af524c7d88f49b446 SHA1: 57ea043e18158149a0b577196dff7fb489cbfa4e SHA256: e2e13b0be2baa7c1ae992899df76bf0c4a9b26f6c29d05226a6f0560ecfe57fe SHA512: 0f599c06bbf0f492d5a61e021ee676c56bc4ee80ec7bd7f45fe7ec12a43028498b32ed5191fe2f7d00eaf8aa41fd18abd006d8992cee2ab1953b76e57f1b4d83 Homepage: http://gcc.gnu.org/ Description: GNU Standard C++ Library v3 (32 bit Version) This package contains an additional runtime library for C++ programs built with the GNU compiler. Package: lib32ubsan0-dbg Architecture: amd64 Version: 4.9.2-10 Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 714 Depends: gcc-4.9-base (= 4.9.2-10), lib32ubsan0 (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/lib32ubsan0-dbg_4.9.2-10_amd64.deb Size: 212950 MD5sum: 93f202f3f919088c0a09fbe5bac4d85c SHA1: 77e31751218c8c780505a3938296e5573d04211f SHA256: 389a6745bdffa8d90843c2989f67c5d131db840952df50df8fe1510d838c4a71 SHA512: 660dbeca6f08b79c3c69e59bc10bacce97ef2bb1a75ffc159e64a9fd34e9a06d896cb626021b9890e65e1923954cab00d36e5e110583f4e4b4ab2f2b22067176 Homepage: http://gcc.gnu.org/ Description: UBSan -- undefined behaviour sanitizer (32 bit debug symbols) UndefinedBehaviorSanitizer can be enabled via -fsanitize=undefined. Various computations will be instrumented to detect undefined behavior at runtime. Available for C and C++. Package: lib32ubsan0 Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 251 Depends: gcc-4.9-base (= 4.9.2-10), lib32gcc1 (>= 1:4.1.1), lib32stdc++6 (>= 4.1.1), libc6-i386 (>= 2.2.4) Conflicts: libc6-i386 (<< 2.9-22) Filename: pool-stretch/gcc_4.9_from_jessie/lib32ubsan0_4.9.2-10_amd64.deb Size: 89126 MD5sum: 5b65bc7ff9cecf77adc05eec5ad8efa7 SHA1: bfc37d17bd66e179db5c55b42e3709309989307f SHA256: 5ea8111d77d73e0510e481837b3080a4fcaf2881fb33099916f7fc80ca6bb1ec SHA512: dee3b275452af5dea71bc7eb5150fd45fe8c08d96c7e6362fbdb44565bbc1fff2ad349ec58cfcb56b39ab3772e6923293c2a26f44c0b96fa422fe8523dd7b158 Homepage: http://gcc.gnu.org/ Description: UBSan -- undefined behaviour sanitizer (32bit) UndefinedBehaviorSanitizer can be enabled via -fsanitize=undefined. Various computations will be instrumented to detect undefined behavior at runtime. Available for C and C++. Package: libasan1-dbg Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 3378 Depends: gcc-4.9-base (= 4.9.2-10), libasan1 (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/libasan1-dbg_4.9.2-10_amd64.deb Size: 681170 MD5sum: 754bdcf2605043a49c3cbde12d2297c6 SHA1: b3b325ce9c64ccdf6d4ac8732d4fb317100ad762 SHA256: 7332973f148e4b3c47d16b3f2ac9a2f146ae9aa214e1bb644aa4f4fc1e02d06f SHA512: f0683062a743c58b1150077f5e03528191a7f9d5374a218c52fab6956435635b2219653d79cd5b95400532043fef33d5aab68b8f7496d435f61239921d54de61 Homepage: http://gcc.gnu.org/ Description: AddressSanitizer -- a fast memory error detector (debug symbols) AddressSanitizer (ASan) is a fast memory error detector. It finds use-after-free and {heap,stack,global}-buffer overflow bugs in C/C++ programs. Package: libasan1 Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 713 Pre-Depends: multiarch-support Depends: gcc-4.9-base (= 4.9.2-10), libc6 (>= 2.3), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Filename: pool-stretch/gcc_4.9_from_jessie/libasan1_4.9.2-10_amd64.deb Size: 195882 MD5sum: 1aea010787e7c7dc8fc8dfd8b7549c12 SHA1: c5cf822400feed684c6152bfcd9a683033f1cae5 SHA256: 79f35f6c821c309bde03435ae0f851f7a15b52ee1318dc24de7103c3eda5c90c SHA512: 608072c537229c22f40f909a2695e092a63ff33fa9000ee12045a51e85d6d14a4c35d46449915cd17bde8377447ad4ba67ad481d7effc4c364f18769de8b3682 Homepage: http://gcc.gnu.org/ Description: AddressSanitizer -- a fast memory error detector AddressSanitizer (ASan) is a fast memory error detector. It finds use-after-free and {heap,stack,global}-buffer overflow bugs in C/C++ programs. Package: libatomic1-dbg Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 139 Depends: gcc-4.9-base (= 4.9.2-10), libatomic1 (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/libatomic1-dbg_4.9.2-10_amd64.deb Size: 17056 MD5sum: 054addbe47c59ff30019cc1ff34f38e4 SHA1: bdd3bc7510d1100cdda6be639f3b96f82856bb7c SHA256: 7330b19c753e8df0d982e55628d7aa3868a8e996a035dff24f4ce56d25851e97 SHA512: a83854f68763c5661b7c3e2ef7a628a38289e3734f7d0ff2f7a591c963c94b9a1a18f1f440a0db66f4c8defd9a9305637234526f993f0a55c6f871615681ccfb Homepage: http://gcc.gnu.org/ Description: support library providing __atomic built-in functions (debug symbols) library providing __atomic built-in functions. When an atomic call cannot be turned into lock-free instructions, GCC will make calls into this library. Package: libatomic1 Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 56 Pre-Depends: multiarch-support Depends: gcc-4.9-base (= 4.9.2-10), libc6 (>= 2.14) Filename: pool-stretch/gcc_4.9_from_jessie/libatomic1_4.9.2-10_amd64.deb Size: 9986 MD5sum: af7ae1d1a8b85580becd148101c3352c SHA1: 6d3a0f72f50685be7d621443fffc395fadf4c5d1 SHA256: 0d492b27049ec3eea444b79206db620f9d31a178c3883c35fd9ef43751f019c0 SHA512: 4842b88d1fc547a3840ad610349fa20cca5cd91d096f964b7e8d75d67694294e9285812bdd63cd1bc2a238f0c6065812ca6f3b497ee0f2a268244bebf3a41f7c Homepage: http://gcc.gnu.org/ Description: support library providing __atomic built-in functions library providing __atomic built-in functions. When an atomic call cannot be turned into lock-free instructions, GCC will make calls into this library. Package: libcilkrts5-dbg Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 439 Depends: gcc-4.9-base (= 4.9.2-10), libcilkrts5 (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/libcilkrts5-dbg_4.9.2-10_amd64.deb Size: 105146 MD5sum: 2af6e11194b628f3ba5ffadae084b7de SHA1: 9b67b9ddce3b0e3b94ba3b88b28c8ea85f54a0ac SHA256: c6d0bbca538c19f652bc4ea7fa618f27fe7efdbed021c933af644cb59b7de010 SHA512: a6a4969b64d0a27d24af2c55ed012e1ec521d1c2b39d42ff3aa6286a3180b34bc0df196a4abbd0772af634546590bfd395c2acfcd38fef21b1337c51fef6c68e Homepage: http://gcc.gnu.org/ Description: Intel Cilk Plus language extensions (debug symbols) Intel Cilk Plus is an extension to the C and C++ languages to support data and task parallelism. Package: libcilkrts5 Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 157 Pre-Depends: multiarch-support Depends: gcc-4.9-base (= 4.9.2-10), libc6 (>= 2.14), libgcc1 (>= 1:4.8), libstdc++6 (>= 4.1.1) Filename: pool-stretch/gcc_4.9_from_jessie/libcilkrts5_4.9.2-10_amd64.deb Size: 41096 MD5sum: 782a52dcaa139db032031027d3a6b76e SHA1: 77cc159d39550b64808bb46928dcd897e252d367 SHA256: 7d1529b1ecb4bccd42953e1bcfd670c999d9041311fce469e215a098f53185cc SHA512: 8a850d1da7889f9f7ab6df17fbdeafabf9df86ec39910c1e894c05a2cf80af1d67ce65003a789dfaa634f96130bc3a1711645ce0db0fd9a9136bef0d1a0d08a8 Homepage: http://gcc.gnu.org/ Description: Intel Cilk Plus language extensions (runtime) Intel Cilk Plus is an extension to the C and C++ languages to support data and task parallelism. Package: libgcc-4.9-dev Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: optional Section: libdevel Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 10148 Depends: gcc-4.9-base (= 4.9.2-10), libgcc1 (>= 1:4.9.2-10), libgomp1 (>= 4.9.2-10), libitm1 (>= 4.9.2-10), libatomic1 (>= 4.9.2-10), libasan1 (>= 4.9.2-10), liblsan0 (>= 4.9.2-10), libtsan0 (>= 4.9.2-10), libubsan0 (>= 4.9.2-10), libcilkrts5 (>= 4.9.2-10), libquadmath0 (>= 4.9.2-10) Recommends: libc6-dev (>= 2.13-5) Replaces: gccgo-4.9 (<< 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/libgcc-4.9-dev_4.9.2-10_amd64.deb Size: 2067072 MD5sum: 8e9c19568b6fb7b90c3ac4407f2980f5 SHA1: 28d345d6654ed6880645164618064f1a586ad541 SHA256: 38276256ef6a114643b99c3e43b1196415e91ce9b75684817bc38063b2db55c8 SHA512: f36c7aa57e174d8b49ee4fec21d9a68aa0c1cf83d9030bc3df435b99436d9084b3a103b1da117c900c84265dbcb8a01bbb8e791f89165e50170a5302ac98c13e Homepage: http://gcc.gnu.org/ Description: GCC support library (development files) This package contains the headers and static library files necessary for building C programs which use libgcc, libgomp, libquadmath, libssp or libitm. Package: libgcc1-dbg Architecture: amd64 Version: 1:4.9.2-10 Multi-Arch: same Priority: extra Section: debug Source: gcc-4.9 (4.9.2-10) Maintainer: Debian GCC Maintainers Installed-Size: 483 Depends: gcc-4.9-base (= 4.9.2-10), libgcc1 (= 1:4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/libgcc1-dbg_4.9.2-10_amd64.deb Size: 86494 MD5sum: fc9b5ee8a1600c1d1625242dfd830697 SHA1: 840e8e783b7d74d2638479f7c7ada68146959a4e SHA256: d04eddb3b35170374d03c864593929fd50bffad1cd0953d94ad345bde7b8d795 SHA512: aafa2821860bfaff39c9a1a5b60c7bdcd650b5a832e292656634223b64290ae9212a0789e6babcc538ab25c29a65a9564f55d6c28cf8f2618b69088cd63752ce Homepage: http://gcc.gnu.org/ Description: GCC support library (debug symbols) Debug symbols for the GCC support library. Package: libgcc1 Architecture: amd64 Version: 1:4.9.2-10 Multi-Arch: same Priority: required Section: libs Source: gcc-4.9 (4.9.2-10) Maintainer: Debian GCC Maintainers Installed-Size: 129 Pre-Depends: multiarch-support Depends: gcc-4.9-base (= 4.9.2-10), libc6 (>= 2.14) Breaks: gcc-4.3 (<< 4.3.6-1), gcc-4.4 (<< 4.4.6-4), gcc-4.5 (<< 4.5.3-2) Filename: pool-stretch/gcc_4.9_from_jessie/libgcc1_4.9.2-10_amd64.deb Size: 40462 MD5sum: a6e768c0149bb52e1f06a55d42ee4360 SHA1: c2c34d637facc7f2d90275c16c64dbd195949b48 SHA256: 667346c03b87a46a84b92ce81c24325114670d5d6d2de006640cb44f89d6d6e0 SHA512: bbad0873cd827bd36b28ba121d44b66a22e0cc1e6967fd35a2ff7b81d4d46596be348ce699d45c3e245d647e363caf1607498e3834a25113c0162ad41f80a5db Homepage: http://gcc.gnu.org/ Description: GCC support library Shared version of the support library, a library of internal subroutines that GCC uses to overcome shortcomings of particular machines, or special needs for some languages. Package: libgcj-doc Architecture: all Version: 4.9.2-10 Priority: optional Section: doc Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 429793 Provides: classpath-doc Depends: gcc-4.9-base (>= 4.9) Enhances: libgcj15-dev Filename: pool-stretch/gcc_4.9_from_jessie/libgcj-doc_4.9.2-10_all.deb Size: 18866976 MD5sum: bf80dfcad5dfec4266e58ac2def2a639 SHA1: 2084d75730d9e0900d88993f0a3f1521e20340f2 SHA256: 47264bcfebdab93479668a798b4a66f322c098de05b0b5482ec6f8419566afdd SHA512: 17aa2534f7891b4949eba6a93c05c17b99821ee0066dbad6e175b9fb87931f79dabfe9c4ce3c55802051cd5ab6d056eb8d7728fb0307ff10721a5b5403d3cfd8 Homepage: http://gcc.gnu.org/ Description: libgcj API documentation and example programs Autogenerated documentation describing the API of the libgcj library. Sources and precompiled example programs from the Classpath library. Package: libgcj15-awt Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 271 Pre-Depends: multiarch-support Depends: gcc-4.9-base (>= 4.9), libgcj15 (= 4.9.2-10), libatk1.0-0 (>= 1.12.4), libc6 (>= 2.14), libcairo2 (>= 1.2.4), libfontconfig1 (>= 2.11), libfreetype6 (>= 2.2.1), libgdk-pixbuf2.0-0 (>= 2.22.0), libglib2.0-0 (>= 2.24.0), libgtk2.0-0 (>= 2.24.0), libice6 (>= 1:1.0.0), libpango-1.0-0 (>= 1.22.0), libpangocairo-1.0-0 (>= 1.14.0), libpangoft2-1.0-0 (>= 1.14.0), libsm6, libxrandr2 (>= 4.3), libxrender1, libxtst6 Filename: pool-stretch/gcc_4.9_from_jessie/libgcj15-awt_4.9.2-10_amd64.deb Size: 63444 MD5sum: c0a0852b33ac103ee473a21a2b7cba9c SHA1: 1ea5c472b11a8598d33b08327bc7ae344d38ac2c SHA256: 77bec2a6dff6443a84efc9f999c83bc01fc306772d29406a09f08cf766e678c7 SHA512: d8767d07284bb52ad7da3c5fda9d5dcd1eaeabae33ee839e83bca496c0fc9760a098cf6fa97b893e45b057ae98b4129926b52cabde29f63a67de6c25611afdf8 Homepage: http://gcc.gnu.org/ Description: AWT peer runtime libraries for use with gcj These are runtime libraries holding the AWT peer implementations for libgcj (currently the GTK+ based peer library is required, the QT bases library is not built). Package: libgcj15-dbg Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 128729 Pre-Depends: multiarch-support Depends: gcc-4.9-base (= 4.9.2-10), libgcj15 (= 4.9.2-10) Recommends: binutils, libc6-dbg | libc-dbg Filename: pool-stretch/gcc_4.9_from_jessie/libgcj15-dbg_4.9.2-10_amd64.deb Size: 16433476 MD5sum: 7aa78e535252ff2ec055984ec00a26f0 SHA1: 1693e673477decf5a8e4d3d3105a6f43d3b4def1 SHA256: 11b4b8e4bc370ab3e895f1805a9e5c1e7c402668bfbf4e90322fa9c590477620 SHA512: aced1b146937af81720d680cb5a181ee869cdf65bc2e31c40f81e6f9e075aad1ec3b2bdf5ef99c22c8a3d9f47a21ed4f61e5c18a238b6e2d63f2c796b4cc5ac9 Homepage: http://gcc.gnu.org/ Description: Debugging symbols for libraries provided in libgcj15-dev The package provides debugging symbols for the libraries provided in libgcj15-dev. . binutils is required to show file names and line numbers in stack traces. Package: libgcj15-dev Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: optional Section: libdevel Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 6674 Depends: gcc-4.9-base (= 4.9.2-10), libgcj15-awt (= 4.9.2-10), libgcj-bc, zlib1g-dev Suggests: libgcj-doc Filename: pool-stretch/gcc_4.9_from_jessie/libgcj15-dev_4.9.2-10_amd64.deb Size: 608282 MD5sum: 1c3f91fc7ba0078fcda613c90696e386 SHA1: 64b419de20441c96ea792ab30edba5bafb4e477f SHA256: 8ca1190c3bc951b2c1b3c65c2ebb45d772355b519b7c977e0c84b9d25077c54f SHA512: 65d5a6c5bbb00c6b4e4c8d15592b323a2356267a7adb74118b9e6f784695c7b873068afa056d60b8f052d4d5e6e8e2b4b76718b2c00462cf36211c0106ed826d Homepage: http://gcc.gnu.org/ Description: Java development headers for use with gcj These are the development headers that go along with the gcj front end to gcc. libgcj includes parts of the Java Class Libraries, plus glue to connect the libraries to the compiler and the underlying OS. Package: libgcj15 Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 54548 Pre-Depends: multiarch-support Depends: gcc-4.9-base (>= 4.9), libgcj-common (>= 1:4.1.1-21), libasound2 (>= 1.0.16), libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libgmp10 (>= 2:5.0.1~), zlib1g (>= 1:1.1.4) Recommends: gcj-4.9-jre-lib (>= 4.9) Suggests: libgcj15-dbg (>= 4.9.2-10), libgcj15-awt (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/libgcj15_4.9.2-10_amd64.deb Size: 9225282 MD5sum: 937332f7964a30cfface1a88776b74fa SHA1: 5ca071dc999f774e8ad315c8019958bc51dce8ef SHA256: 41e05e7589b89f2745eece407b44837d70b16fcee6deefe1f0b97fe44d75aa0e SHA512: 8532a415b3a02871fdbca8afddb5d29c6a9ab08447acd8b507f5a5f8bb8a9f99c32bd7d9458140021c4bb7117fcbeea18ff54e02fe12290cd1529a931dd09041 Homepage: http://gcc.gnu.org/ Description: Java runtime library for use with gcj This is the runtime that goes along with the gcj front end to gcc. libgcj includes parts of the Java Class Libraries, plus glue to connect the libraries to the compiler and the underlying OS. . To show file names and line numbers in stack traces, the packages libgcj15-dbg and binutils are required. Package: libgfortran-4.9-dev Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: optional Section: libdevel Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 2919 Depends: gcc-4.9-base (= 4.9.2-10), libgcc-4.9-dev (= 4.9.2-10), libgfortran3 (>= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/libgfortran-4.9-dev_4.9.2-10_amd64.deb Size: 282224 MD5sum: daff19f6ab7d1067b7fc5f2ba5681762 SHA1: a16ceae31437a8423ea3a7c0664eecab627a5893 SHA256: c215960bc4e42058e1f7412fda06cbaef9a70aecd02a655ec0f6340c286b8c00 SHA512: 0831b53dc0be58fd5b822e5d5bcd7ca59e8447b0cb73580e4fe9a75c6415dcc62938a38fb1459025d57b148c8238eda4cad0fc4e1250dde0b2c4dc0588c2b6fe Homepage: http://gcc.gnu.org/ Description: Runtime library for GNU Fortran applications (development files) This package contains the headers and static library files needed to build GNU Fortran applications. Package: libgfortran3-dbg Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 4199 Depends: gcc-4.9-base (= 4.9.2-10), libgfortran3 (= 4.9.2-10), libgcc1-dbg (>= 1:4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/libgfortran3-dbg_4.9.2-10_amd64.deb Size: 602498 MD5sum: be24dd904fb0a3bcc155ffc84384085d SHA1: 7f6070974d83e5d5f2e9041d050737477c923b32 SHA256: f1b5b4176888403a3f3ba4d5a25485f530330d69d8da9631c5267b332126a1e3 SHA512: df3f6cbba3bd7ea497daf52d8d3d5c1f0cd8b8ef09c9cac6fb10e8ea32e84f12eedba505e5bb09428112c11b1366897faa7cf2337ef93cfe26f13c31324c5e4a Homepage: http://gcc.gnu.org/ Description: Runtime library for GNU Fortran applications (debug symbols) Library needed for GNU Fortran applications linked against the shared library. Package: libgfortran3 Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 1223 Pre-Depends: multiarch-support Depends: gcc-4.9-base (= 4.9.2-10), libc6 (>= 2.17), libgcc1 (>= 1:4.4.0), libquadmath0 (>= 4.6) Breaks: gcc-4.3 (<< 4.3.6-1), gcc-4.4 (<< 4.4.6-4), gcc-4.5 (<< 4.5.3-2) Filename: pool-stretch/gcc_4.9_from_jessie/libgfortran3_4.9.2-10_amd64.deb Size: 255542 MD5sum: 818bb1cf87fd9c8d3865e7a1056f403b SHA1: 8261038e285e0d33542f39fc237446bce8aaba7d SHA256: 830c3a67dc345f9b55fcb8dbbaba665a9959e9e1213614292a8b35fda782d64a SHA512: 4ab693bb36639476cab6558b0f8530ad38fae2f8a5b75d9aaa12e80c2c289944593a824aa0dfb7fde5678c686b4cda984bd6b7db89718472db9444d649cbaeef Homepage: http://gcc.gnu.org/ Description: Runtime library for GNU Fortran applications Library needed for GNU Fortran applications linked against the shared library. Package: libgo5-dbg Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 13411 Depends: gcc-4.9-base (= 4.9.2-10), libgo5 (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/libgo5-dbg_4.9.2-10_amd64.deb Size: 2939104 MD5sum: de122e078e70964d99b79f3c3d8d46dc SHA1: 69fc043cd7b35d5693cd8bede999d8b410257cd7 SHA256: d42970b044ddd98da51071316940c75b6a9b07ac38413c73d86e54171205814f SHA512: e236bdd6cd4b6c595d92ac6ec93b73da23f2f2b0e5d5a6a87c59ae9209660d42689c45e2862d4662c02869e048e82b054457bb01ee45ceb9b5aaf837143e475e Homepage: http://gcc.gnu.org/ Description: Runtime library for GNU Go applications (debug symbols) Library needed for GNU Go applications linked against the shared library. Package: libgo5 Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 15128 Pre-Depends: multiarch-support Depends: gcc-4.9-base (= 4.9.2-10), libc6 (>= 2.14), libgcc1 (>= 1:4.1.1) Replaces: libgo3 Filename: pool-stretch/gcc_4.9_from_jessie/libgo5_4.9.2-10_amd64.deb Size: 2467166 MD5sum: bb25fd90b6c5263e126cdd31fa5737c9 SHA1: 20c59c67f8a2649ccafba4d0581db5d68e8a4512 SHA256: 6ca5e1ecebe60da8ce82722c46e1fb0c54eb7dd57a677758413486f8c8109d28 SHA512: a3c2ddd6521180427e56b583a80dc41bb0e85f9e02b4dfa55134f45bd5b6d80a5df46e04190b0afdb9369dcc4efd166e31b72aa62a4e183c2fe8d1c803dfca57 Homepage: http://gcc.gnu.org/ Description: Runtime library for GNU Go applications Library needed for GNU Go applications linked against the shared library. Package: libgomp1-dbg Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 416 Depends: gcc-4.9-base (= 4.9.2-10), libgomp1 (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/libgomp1-dbg_4.9.2-10_amd64.deb Size: 87424 MD5sum: ac9f16f50182b51476ec9bfb1500741f SHA1: d25d5cb36bf5859bc29b8a324cb817f8302d67c9 SHA256: 97e85fe65c25c6a1d8c2407551c25924f5a566f8bff24b54de51287caf1a596b SHA512: 63aa217bfe80213a27a11598cea2ec5948e44f5775013b9a2f4be7df81ed60598e893c34a070d4e98840f2ccd4eaa20a68395e669063513d9102f1c64ebed933 Homepage: http://gcc.gnu.org/ Description: GCC OpenMP (GOMP) support library (debug symbols) GOMP is an implementation of OpenMP for the C, C++, and Fortran compilers in the GNU Compiler Collection. Package: libgomp1 Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 123 Pre-Depends: multiarch-support Depends: gcc-4.9-base (= 4.9.2-10), libc6 (>= 2.17) Breaks: gcc-4.3 (<< 4.3.6-1), gcc-4.4 (<< 4.4.6-4), gcc-4.5 (<< 4.5.3-2) Filename: pool-stretch/gcc_4.9_from_jessie/libgomp1_4.9.2-10_amd64.deb Size: 38778 MD5sum: 4f05c19ed1966477cae20900944e93df SHA1: 5888abc9ac9bc29db10c6d0b0f961bb1cf6adc12 SHA256: 47eb14098ade8b29a44a9d5573e9a52958137bfe658da542a5cafdcb285a0709 SHA512: e6c2d6c065d95be5272323171c3b6cad1d7ebb4abe21129e0fe83dbb4764b634cc5da65164ecc07216ca79b55e7127b5fd72494b9d8352f951c104d42433969d Homepage: http://gcc.gnu.org/ Description: GCC OpenMP (GOMP) support library GOMP is an implementation of OpenMP for the C, C++, and Fortran compilers in the GNU Compiler Collection. Package: libisl-dbg Architecture: amd64 Version: 0.12.2-2 Multi-Arch: same Priority: extra Section: debug Source: isl Maintainer: Debian GCC Maintainers Installed-Size: 3682 Depends: libisl10 (= 0.12.2-2) Replaces: libisl-dev (<< 0.08) Filename: pool-stretch/gcc_4.9_from_jessie/libisl-dbg_0.12.2-2_amd64.deb Size: 893872 MD5sum: 5185239e9d568bdbeea22b5e0d99f961 SHA1: 49ff1d5bfc3bf860f62000c15bd3eab928fbcb2c SHA256: 2259bb8c2f5f650966254da9d26a2fdf2258bcec3af50aa5bc3184ce39b8fddc SHA512: 6166ff26deb0108c54092ad4d20b2c592c397d30ae543522e3b0240ae1497803a4e07507260e793564f0c636d2c81661d36878cd48e6cd4915ebab346d229912 Homepage: http://freecode.com/projects/isl Description: manipulating sets and relations of integer points bounded by linear constraints isl is a library for manipulating sets and relations of integer points bounded by linear constraints. Supported operations on sets include intersection, union, set difference, emptiness check, convex hull, (integer) affine hull, integer projection, and computing the lexicographic minimum using parametric integer programming. It also includes an ILP solver based on generalized basis reduction. . This package contains debug files. Package: libisl-dev Architecture: amd64 Version: 0.12.2-2 Multi-Arch: same Priority: optional Section: libdevel Source: isl Maintainer: Debian GCC Maintainers Installed-Size: 2476 Depends: libisl10 (= 0.12.2-2) Filename: pool-stretch/gcc_4.9_from_jessie/libisl-dev_0.12.2-2_amd64.deb Size: 457204 MD5sum: 4062e0b41a53d5504bc5ae32bfb9b422 SHA1: 2cabc9d02307aed429dd0e13df06c685924a1ada SHA256: 4a336220f37fa9491ca50147693e267804ff93492735fb738c13af759d346c4d SHA512: 5c95b08b15199cfcd493f404771c0603e8e1d87f26c2ef9973f7facffd2c358b5a69af2e478ad62bc2d721db1dd9ff58c7459e63a1fa3a519dd583e554810ce5 Homepage: http://freecode.com/projects/isl Description: manipulating sets and relations of integer points bounded by linear constraints isl is a library for manipulating sets and relations of integer points bounded by linear constraints. Supported operations on sets include intersection, union, set difference, emptiness check, convex hull, (integer) affine hull, integer projection, and computing the lexicographic minimum using parametric integer programming. It also includes an ILP solver based on generalized basis reduction. . This package contains the development files. Package: libisl10 Architecture: amd64 Version: 0.12.2-2 Multi-Arch: same Priority: optional Section: libs Source: isl Maintainer: Debian GCC Maintainers Installed-Size: 1417 Pre-Depends: multiarch-support Depends: libc6 (>= 2.14), libgmp10 Breaks: libcloog-isl4 (<< 0.18.1) Filename: pool-stretch/gcc_4.9_from_jessie/libisl10_0.12.2-2_amd64.deb Size: 441068 MD5sum: 64a270405844bc6526ae6a85f3919468 SHA1: 6ea853931069f891eae9dbd611d7b4d4d0224f63 SHA256: 11857f029135efc724bf405c1b5109c320a0b2f803f15948531b723557ebf2ac SHA512: 08b97ec2843604e5ebb06a42b9c1ab7bbfe46326864c5aeacf4cde987971e4882ad8f76be57ba1b2b3e5383fcf73537d1bf3777a6bb30730efdbc4670b20c9a1 Homepage: http://freecode.com/projects/isl Description: manipulating sets and relations of integer points bounded by linear constraints isl is a library for manipulating sets and relations of integer points bounded by linear constraints. Supported operations on sets include intersection, union, set difference, emptiness check, convex hull, (integer) affine hull, integer projection, and computing the lexicographic minimum using parametric integer programming. It also includes an ILP solver based on generalized basis reduction. . This package contains the runtime library. Package: libitm1-dbg Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 1092 Depends: gcc-4.9-base (= 4.9.2-10), libitm1 (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/libitm1-dbg_4.9.2-10_amd64.deb Size: 192392 MD5sum: 5371851f6938368d59bc3d50e5d17d45 SHA1: f1f766616385747646b789be1a912e316282bffb SHA256: 02c201a208952dc148cade9dc9bd2ea218bc5bb11d4d7adcf9c2436b947a608a SHA512: 02bd71a53d34278cbca3553a284865f45e9bb3fce542eed282e4ed2082182b8508471dde55c37e67417aee606881cded9bec18aa5a215af4ae7bfdc6a815a711 Homepage: http://gcc.gnu.org/ Description: GNU Transactional Memory Library (debug symbols) GNU Transactional Memory Library (libitm) provides transaction support for accesses to the memory of a process, enabling easy-to-use synchronization of accesses to shared memory by several threads. Package: libitm1 Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 162 Pre-Depends: multiarch-support Depends: gcc-4.9-base (= 4.9.2-10), libc6 (>= 2.14) Filename: pool-stretch/gcc_4.9_from_jessie/libitm1_4.9.2-10_amd64.deb Size: 30206 MD5sum: 980b22d7bc62b3a6e95a7f52c3a74bd2 SHA1: 3c26e3bf0f705cb3b0f51a1fbf6c59f4a8c45187 SHA256: ad8749d9c6f8c98b235254d0d677eb2285e70efb529c35639200c67de7195a32 SHA512: f2e0edc185369432be52c9bf5ef303f88c6a54c002975b8436b0804d56c6b1c585e10d63da36b9cb04a88508d2457a0a9fa4098157266d44eb18ec96b901040a Homepage: http://gcc.gnu.org/ Description: GNU Transactional Memory Library GNU Transactional Memory Library (libitm) provides transaction support for accesses to the memory of a process, enabling easy-to-use synchronization of accesses to shared memory by several threads. Package: liblsan0-dbg Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 1290 Depends: gcc-4.9-base (= 4.9.2-10), liblsan0 (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/liblsan0-dbg_4.9.2-10_amd64.deb Size: 304044 MD5sum: 287bd90dfe1228cd1273143ee45e4934 SHA1: e3a32229bb30a5a6c60274c3411ab214239d3d50 SHA256: 006db7ed230e042fc4bc7298767eaaf04c08fa86b81aafa00e4d9124af56350e SHA512: 87404c77c31fc91cdef473d294d32a2aba268a155b95614442dc182504eb581c8d6d0e13f3d6c76594acacaa0e93fdd563fbab63085d754c827088caea790723 Homepage: http://gcc.gnu.org/ Description: LeakSanitizer -- a memory leak detector (debug symbols) LeakSanitizer (Lsan) is a memory leak detector which is integrated into AddressSanitizer. Package: liblsan0 Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 257 Pre-Depends: multiarch-support Depends: gcc-4.9-base (= 4.9.2-10), libc6 (>= 2.3), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Filename: pool-stretch/gcc_4.9_from_jessie/liblsan0_4.9.2-10_amd64.deb Size: 93794 MD5sum: 2ee3e6643ee3b830c12feb7b175e3f6b SHA1: 2b932074bfb1b5337bc96615e3d8107796cd2305 SHA256: 50956f2ad927f3a32a7fdb49b1bace3c1aa6ae0361f82fd6bd954e255b30cab6 SHA512: 03c86272ec6df9ac8757fd74915f0468fe447108898c83cc4f075cd4552af3c9319a3594851f0c0f101499ac397a9f2860101a607c5ea615c488e8f7d3089908 Homepage: http://gcc.gnu.org/ Description: LeakSanitizer -- a memory leak detector (runtime) LeakSanitizer (Lsan) is a memory leak detector which is integrated into AddressSanitizer. Package: libobjc-4.9-dev Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: optional Section: libdevel Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 3114 Depends: gcc-4.9-base (= 4.9.2-10), libgcc-4.9-dev (= 4.9.2-10), libobjc4 (>= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/libobjc-4.9-dev_4.9.2-10_amd64.deb Size: 373400 MD5sum: 9051204311ba4cf7ace4e1c6ff316355 SHA1: fe068c8f9e5f1664e920c8b6afd9ef14bee5a545 SHA256: ff2530d847d5c5cb816dfacc32f700efda44c1db77e3053b92a0b6c3356c3844 SHA512: 404a482f865b5b19a26297878bcd34b51e9f2bb7279aff4d419d5ca9b10a9ed73bdc47e831ce6b8294abb54057d2e5a7762a416dbc712123611ef532b6ccb7a8 Homepage: http://gcc.gnu.org/ Description: Runtime library for GNU Objective-C applications (development files) This package contains the headers and static library files needed to build GNU ObjC applications. Package: libobjc4-dbg Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 1036 Depends: gcc-4.9-base (= 4.9.2-10), libobjc4 (= 4.9.2-10), libgcc1-dbg (>= 1:4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/libobjc4-dbg_4.9.2-10_amd64.deb Size: 209064 MD5sum: a0730dd5d919e35e7de4310100faf143 SHA1: 044db48ef6477a7ffe701b1fc51fdaf1e2af99c6 SHA256: 0256787dc0cfab0d8579196153e2c5f726530c9ae70217f6663fb67b09d079ac SHA512: 07e77ccb58fc0a3a99b18b5788504eb0ab5b7c45ffe64b516ea5b5a086535ba42b494e03e28f291666d19cf097cf4bee8748d51501b01ca31761b58e9d6165d3 Homepage: http://gcc.gnu.org/ Description: Runtime library for GNU Objective-C applications (debug symbols) Library needed for GNU ObjC applications linked against the shared library. Package: libobjc4 Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 428 Pre-Depends: multiarch-support Depends: gcc-4.9-base (= 4.9.2-10), libc6 (>= 2.14), libgcc1 (>= 1:4.1.1) Filename: pool-stretch/gcc_4.9_from_jessie/libobjc4_4.9.2-10_amd64.deb Size: 113064 MD5sum: 6727adc33bf74c10f15824c88ee71c71 SHA1: a55b56710f9bae812e103a72d9853839af357336 SHA256: dee5e4addc21e9d7828fed580954846012cbc8308faeec29463b30bb708d941f SHA512: 0a69a81597b88f5c42852a1711e051c151e6e4ed4848b8c426cf458983016460e7cb72d382ae0f423b0d122b13518650a0d427267ea57a89c9f3e2a9711e754e Homepage: http://gcc.gnu.org/ Description: Runtime library for GNU Objective-C applications Library needed for GNU ObjC applications linked against the shared library. Package: libphobos-4.9-dev Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: libdevel Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 62306 Depends: gcc-4.9-base (= 4.9.2-10), zlib1g-dev Filename: pool-stretch/gcc_4.9_from_jessie/libphobos-4.9-dev_4.9.2-10_amd64.deb Size: 6584264 MD5sum: cc6b9d6cb2fcf7790a65d32dc0bc72e7 SHA1: 48ad18f94bf216bae6a7f521eb060f331e2385cc SHA256: 9c9fb452d9bfb3726c6647e187c579d0d929fa8f44bea397b75f1da61e34cde2 SHA512: c714658056df394f9a5d18243dbe61023c2a153e69abbe0f9925a55c738d2ebab3e31abf79eb60e105b8543b3adfd256da4f10820f7960805df7413c470964c3 Homepage: http://gcc.gnu.org/ Description: Phobos D standard library This is the Phobos standard library that comes with the D2 compiler. . For more information check http://www.dlang.org/phobos/ Package: libquadmath0-dbg Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 715 Depends: gcc-4.9-base (= 4.9.2-10), libquadmath0 (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/libquadmath0-dbg_4.9.2-10_amd64.deb Size: 147304 MD5sum: 8bcf874d4672deac83cb0a1755438f9c SHA1: 69a061cd62a43b941f154441c38332d86cf5db95 SHA256: 0a7028ce99bb4999b59d8657e235f4156a7b3df289f38cfa7bd173980c3052d9 SHA512: 7833d5650f00fb1aad906e3e8cccd4825a236470523a7ed1087c5c949d90781e723151230129f1b06c3f352cad8da5fb7e6832ba25cc3c098099af32767ca516 Homepage: http://gcc.gnu.org/ Description: GCC Quad-Precision Math Library (debug symbols) A library, which provides quad-precision mathematical functions on targets supporting the __float128 datatype. Package: libquadmath0 Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 275 Pre-Depends: multiarch-support Depends: gcc-4.9-base (= 4.9.2-10), libc6 (>= 2.14) Filename: pool-stretch/gcc_4.9_from_jessie/libquadmath0_4.9.2-10_amd64.deb Size: 130146 MD5sum: 53ef70db093866f9e9a553f099988d04 SHA1: 0fbc71bd4f4293c5b7782fd09501e3500c0dc207 SHA256: eb387238335f742a102a17312afc9368f4360dc8f8836f7bf2257754bf54bcab SHA512: 3d99441565ee31b6282d6679a3c1e55566e56481f1249a6e16a812ac59c017b8347d82aa7132219006d20734adf48b07828a442eeb8e6e74184788f7401e94ad Homepage: http://gcc.gnu.org/ Description: GCC Quad-Precision Math Library A library, which provides quad-precision mathematical functions on targets supporting the __float128 datatype. The library is used to provide on such targets the REAL(16) type in the GNU Fortran compiler. Package: libstdc++-4.9-dev Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: optional Section: libdevel Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 11901 Provides: libstdc++-dev Depends: gcc-4.9-base (= 4.9.2-10), libgcc-4.9-dev (= 4.9.2-10), libstdc++6 (>= 4.9.2-10), libc6-dev (>= 2.13-5) Suggests: libstdc++-4.9-doc Conflicts: libg++2.8-dev, libg++27-dev, libg++272-dev (<< 2.7.2.8-1), libstdc++2.10-dev (<< 1:2.95.3-2), libstdc++2.8-dev, libstdc++2.9-dev, libstdc++2.9-glibc2.1-dev, libstdc++3.0-dev Filename: pool-stretch/gcc_4.9_from_jessie/libstdc++-4.9-dev_4.9.2-10_amd64.deb Size: 1121742 MD5sum: e5f6ae599d3476312c6b7cafba9a2fec SHA1: f0c7bab997964e260f30eb86ac7542e4fc7ae4d5 SHA256: b9b334fd5595d74d96a7d29b66c1bfb949c62ed9f40539cc20324a31ce9ce562 SHA512: 13f25a9a1d47e4d8fbfdf3cdc5c8b6f61ee53e1dc52595a15028b038e6af1843d4f0c208f148a899de70cbd1258ffa161fb7423099d4c9af7342fbf3fae4c759 Homepage: http://gcc.gnu.org/ Description: GNU Standard C++ Library v3 (development files) This package contains the headers and static library files necessary for building C++ programs which use libstdc++. . libstdc++-v3 is a complete rewrite from the previous libstdc++-v2, which was included up to g++-2.95. The first version of libstdc++-v3 appeared in g++-3.0. 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One set is the distribution documentation, the other set is the source documentation including a namespace list, class hierarchy, alphabetical list, compound list, file list, namespace members, compound members and file members. Package: libstdc++-4.9-pic Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: extra Section: libdevel Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 3323 Depends: gcc-4.9-base (= 4.9.2-10), libstdc++6 (>= 4.9.2-10), libstdc++-4.9-dev (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/libstdc++-4.9-pic_4.9.2-10_amd64.deb Size: 327202 MD5sum: 002e6661bfc93f1a144c90a1435a1ae4 SHA1: 58ea122ec4c890e3cb4aded08de06632361bc2c6 SHA256: be730e373ee8b22df91d2c17b643165d072926fcf9e5084b51e8101786747544 SHA512: c067305b0b7ac8acc4232796cb6289d46d8f274d462283e21464ac5b2752692baf56ddcf9042a2528721d5ac86a96402721194b15e01308b5d2e56b024202c77 Homepage: http://gcc.gnu.org/ Description: GNU Standard C++ Library v3 (shared library subset kit) This is used to develop subsets of the libstdc++ shared libraries for use on custom installation floppies and in embedded systems. . Unless you are making one of those, you will not need this package. Package: libstdc++6-4.9-dbg Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 13762 Depends: gcc-4.9-base (= 4.9.2-10), libstdc++6 (>= 4.9.2-10), libgcc1-dbg (>= 1:4.9.2-10), libc6 (>= 2.18), libgcc1 (>= 1:4.1.1) Recommends: libstdc++-4.9-dev (= 4.9.2-10) Conflicts: libstdc++5-3.3-dbg, libstdc++5-dbg, libstdc++6-4.0-dbg, libstdc++6-4.1-dbg, libstdc++6-4.2-dbg, libstdc++6-4.3-dbg, libstdc++6-4.4-dbg, libstdc++6-4.5-dbg, libstdc++6-4.6-dbg, libstdc++6-4.7-dbg, libstdc++6-4.8-dbg, libstdc++6-dbg Filename: pool-stretch/gcc_4.9_from_jessie/libstdc++6-4.9-dbg_4.9.2-10_amd64.deb Size: 2344982 MD5sum: 7e2780b66c18cbd83bc8846cacc2b115 SHA1: 54c71148c26deb3da094aec9aa51c07e338fc20c SHA256: bb68425aa6d77488163443145c108f6e35a61d4e4fefb55db5aed3d356feb15e SHA512: dc714c776b4e6ff4c07967238dc584ae0c286621b8dd339fc19d122366251653b073dc61b798597c5e1453c22c7560396b9421397d55f86be31699106fa5eeed Homepage: http://gcc.gnu.org/ Description: GNU Standard C++ Library v3 (debugging files) This package contains the shared library of libstdc++ compiled with debugging symbols. Package: libstdc++6 Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: important Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 1319 Pre-Depends: multiarch-support Depends: gcc-4.9-base (= 4.9.2-10), libc6 (>= 2.18), libgcc1 (>= 1:4.1.1) Conflicts: scim (<< 1.4.2-1) Breaks: gcc-4.3 (<< 4.3.6-1), gcc-4.4 (<< 4.4.6-4), gcc-4.5 (<< 4.5.3-2) Replaces: libstdc++6-4.9-dbg (<< 4.9.0-3) Filename: pool-stretch/gcc_4.9_from_jessie/libstdc++6_4.9.2-10_amd64.deb Size: 273942 MD5sum: 70225b1e4ac071b2fc5edd0bf4735c1e SHA1: 54b19f195a47e87802562d96854bb0ca477d5c05 SHA256: 3db022bc44c56a3da1a43872a2fb60eb911485aa087e204b39f96e7f79a00d9f SHA512: 4f362899fbf8edf81ed064c839d777f1d00ad915a7a12160f19c41cb5dabbee048d199afb1603641059f59b22f2bd52ece8af158147ef5e41c110bb55a4432ae Homepage: http://gcc.gnu.org/ Description: GNU Standard C++ Library v3 This package contains an additional runtime library for C++ programs built with the GNU compiler. . libstdc++-v3 is a complete rewrite from the previous libstdc++-v2, which was included up to g++-2.95. The first version of libstdc++-v3 appeared in g++-3.0. Package: libtsan0-dbg Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 3490 Depends: gcc-4.9-base (= 4.9.2-10), libtsan0 (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/libtsan0-dbg_4.9.2-10_amd64.deb Size: 753200 MD5sum: ffe8b0557bbf718aa287d9fb957b5a45 SHA1: c90478040743a68a7f52512c91db0ed65fafe2c4 SHA256: d8298d7e8ce033b03cfff993932cdfed1efee8514143c8973600e07de1c184cd SHA512: c5d6d9f10544e08af8d779fa5994c4cf61b9bd0e14a3690904969d183630e0f06808a90e6a2df197526041d4f7bf7e52727be59b7a158a6a2ec6ec5153885910 Homepage: http://gcc.gnu.org/ Description: ThreadSanitizer -- a Valgrind-based detector of data races (debug symbols) ThreadSanitizer (Tsan) is a data race detector for C/C++ programs. The Linux and Mac versions are based on Valgrind. Package: libtsan0 Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 768 Pre-Depends: multiarch-support Depends: gcc-4.9-base (= 4.9.2-10), libc6 (>= 2.3), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Filename: pool-stretch/gcc_4.9_from_jessie/libtsan0_4.9.2-10_amd64.deb Size: 213476 MD5sum: c889c46929c44645715ee1a2d3774535 SHA1: 95cecb1aa40c47c717f714a82c7048f43b27b69f SHA256: f614dc0acdc9db6c1332f9d2f83e623c9eb366ddfa298563e175a863b1745ccb SHA512: 26d53df67d2557f927ced1b8c3b6f73b983eacb6fcbb1ce39937c0c1eb9f894abfdd188adcb242fa8057bec74bba83f5788f5659bc91033043c05b6f7c65ce94 Homepage: http://gcc.gnu.org/ Description: ThreadSanitizer -- a Valgrind-based detector of data races (runtime) ThreadSanitizer (Tsan) is a data race detector for C/C++ programs. The Linux and Mac versions are based on Valgrind. Package: libubsan0-dbg Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 1087 Depends: gcc-4.9-base (= 4.9.2-10), libubsan0 (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/libubsan0-dbg_4.9.2-10_amd64.deb Size: 264178 MD5sum: e28d5a52ed53eccd0220f22cac26429e SHA1: 0f834c58265483b624d5f881cca9261c499d7bec SHA256: a320319a371789c599c429ea4d0e953bb4d60fca2971914f14ffa44a835176ee SHA512: 9f0ffbec21021fe5ac4f8fa7935baae913404216bdb358dd392a801ff123eff8ba137a466e2acfe8d4ac3806a2ca52494c0ea8c35dc1c4d39918f2e78af6c7f7 Homepage: http://gcc.gnu.org/ Description: UBSan -- undefined behaviour sanitizer (debug symbols) UndefinedBehaviorSanitizer can be enabled via -fsanitize=undefined. Various computations will be instrumented to detect undefined behavior at runtime. Available for C and C++. Package: libubsan0 Architecture: amd64 Version: 4.9.2-10 Multi-Arch: same Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 235 Pre-Depends: multiarch-support Depends: gcc-4.9-base (= 4.9.2-10), libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Filename: pool-stretch/gcc_4.9_from_jessie/libubsan0_4.9.2-10_amd64.deb Size: 83428 MD5sum: b1f70959b5160ea2ef79372deedd5e74 SHA1: 357c5ce6833e4bce767148dd02cf923384ae7f40 SHA256: 29ddfdda9fc819325eb16ad05250c036e062b8aaed1ab37c44405b8e832d8b28 SHA512: c4f6ea48e2cf594ce848b2bd188b4ea6684c2be8cd4ae229e0ea52f0fc17ae3aea174a45ad6eded970beff0d6a377c6230d2ec7fab8c0616dcfbb2fbac9b4221 Homepage: http://gcc.gnu.org/ Description: UBSan -- undefined behaviour sanitizer (runtime) UndefinedBehaviorSanitizer can be enabled via -fsanitize=undefined. Various computations will be instrumented to detect undefined behavior at runtime. Available for C and C++. Package: libx32asan1-dbg Architecture: amd64 Version: 4.9.2-10 Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 2543 Depends: gcc-4.9-base (= 4.9.2-10), libx32asan1 (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/libx32asan1-dbg_4.9.2-10_amd64.deb Size: 658894 MD5sum: f31295aad6118a3c2c1ed163edd82134 SHA1: 39e26a1421702e333eec4c7e974562cbff928801 SHA256: 625c3cc52dc805816fdba9897ff4ef22ccbc3a386092d669ffd383e346f5ade8 SHA512: 3c603e31fbea32834906ef25aa78e5c134cb778da22353bffd7fbdc2b4b9ad0b20c0c3ad5352c33e683366659b6d7927993c9d2a1fe91e8b1b6d7ea624b5a004 Homepage: http://gcc.gnu.org/ Description: AddressSanitizer -- a fast memory error detector (x32 debug symbols) AddressSanitizer (ASan) is a fast memory error detector. It finds use-after-free and {heap,stack,global}-buffer overflow bugs in C/C++ programs. Package: libx32asan1 Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 619 Depends: gcc-4.9-base (= 4.9.2-10), lib32gcc1 (>= 1:4.1.1), lib32stdc++6 (>= 4.1.1), libc6-x32 (>= 2.16) Filename: pool-stretch/gcc_4.9_from_jessie/libx32asan1_4.9.2-10_amd64.deb Size: 188054 MD5sum: fa75e6a74581776c61f6caca4c109a1a SHA1: ff3de357ca55c3250d723f6aa1bf02662d1bccc4 SHA256: 2f5248668e96c654c8de73aea8dfe390ed01fb14d56e3aa7c33359750cfeb450 SHA512: 8cf9af205e0a4a17d65a656cc4276d8b3f69848595dc2bcb1424c2ff9507fa30c8f52d2b77f022ab28163eb0b1955ccf521c46cc61f18dcd282ad0a82c694eb2 Homepage: http://gcc.gnu.org/ Description: AddressSanitizer -- a fast memory error detector (x32) AddressSanitizer (ASan) is a fast memory error detector. It finds use-after-free and {heap,stack,global}-buffer overflow bugs in C/C++ programs. Package: libx32atomic1-dbg Architecture: amd64 Version: 4.9.2-10 Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 120 Depends: gcc-4.9-base (= 4.9.2-10), libx32atomic1 (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/libx32atomic1-dbg_4.9.2-10_amd64.deb Size: 16568 MD5sum: 2ccb5b7206dc0d4a2b24aa65160c61e8 SHA1: 4daa536289cb71dd71e2540ad9eb0e60dee75009 SHA256: 921006e04bd23ebecfc7d5e1510b61516e09c47497fb3998cba72c93314f977b SHA512: 131aa3bb4e49b8f0eef67e2a42434e6e208a3c9060b51cae0eb8d31e85593162947ed8d03a0d375179f7603d761b8da9aa5da04ace9bcf13a2778fffe62e98e7 Homepage: http://gcc.gnu.org/ Description: support library providing __atomic built-in functions (x32 debug symbols) library providing __atomic built-in functions. When an atomic call cannot be turned into lock-free instructions, GCC will make calls into this library. Package: libx32atomic1 Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 50 Depends: gcc-4.9-base (= 4.9.2-10), libc6-x32 (>= 2.16) Filename: pool-stretch/gcc_4.9_from_jessie/libx32atomic1_4.9.2-10_amd64.deb Size: 9994 MD5sum: e6eff48be159e8a570566e45951295db SHA1: e945fd1746801ad59e3cb55884c97e0fd4285ffd SHA256: 684584855d601bd56b51023a1bb74d72d1bfa1674d83d9d0db77192d3951c154 SHA512: 97643f72e3163e794d6f03be9b98c0ea1f996fea193623d37f3e260f4298670844d095594abddadabd6708fe6d88f60d64c841915d1cc9561366b7019dfae1cd Homepage: http://gcc.gnu.org/ Description: support library providing __atomic built-in functions (x32) library providing __atomic built-in functions. When an atomic call cannot be turned into lock-free instructions, GCC will make calls into this library. Package: libx32cilkrts5-dbg Architecture: amd64 Version: 4.9.2-10 Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 376 Depends: gcc-4.9-base (= 4.9.2-10), libx32cilkrts5 (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/libx32cilkrts5-dbg_4.9.2-10_amd64.deb Size: 104380 MD5sum: c3ba651a8905667d15e60d03b4940fa0 SHA1: 251078886995534b4d0626908973167ed132c0ef SHA256: 907e214d159946b3a860056edc3ce333fd0560ea4c21ac7159acb36368dacc28 SHA512: 154a116c599dee62790168ea3790e5b8373181f624ae0bae21f9538178bba273fce36b00d465be09aabf9d921959840fd2aa956eca18da9927bd7420a1dc34b9 Homepage: http://gcc.gnu.org/ Description: Intel Cilk Plus language extensions (x32 debug symbols) Intel Cilk Plus is an extension to the C and C++ languages to support data and task parallelism. Package: libx32cilkrts5 Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 130 Depends: gcc-4.9-base (= 4.9.2-10), lib32gcc1 (>= 1:4.8), lib32stdc++6 (>= 4.1.1), libc6-x32 (>= 2.16) Filename: pool-stretch/gcc_4.9_from_jessie/libx32cilkrts5_4.9.2-10_amd64.deb Size: 40228 MD5sum: 413770cfc7ace862ea54aefa5efa1fb3 SHA1: 5a49ea9cc91e537d7dc6eda288d1e2e83e6ee671 SHA256: 050702b3c3125c32a0010b07923d447b94f3ee39a0e4924b85d2afcee4d81024 SHA512: 84a75c56f518a43a98ba98caf37a9b5442a4d311f76d8359df59d3e7ecc4615cf031f0086763d4ea5720c13e3565f4228ddda060c2ebf048d9d6e1f40b0dc8a3 Homepage: http://gcc.gnu.org/ Description: Intel Cilk Plus language extensions (x32) Intel Cilk Plus is an extension to the C and C++ languages to support data and task parallelism. Package: libx32gcc-4.9-dev Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: libdevel Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 5672 Depends: gcc-4.9-base (= 4.9.2-10), lib32gcc1 (>= 1:4.9.2-10), libx32gcc1 (>= 1:4.9.2-10), lib32gomp1 (>= 4.9.2-10), libx32gomp1 (>= 4.9.2-10), lib32itm1 (>= 4.9.2-10), libx32itm1 (>= 4.9.2-10), lib32atomic1 (>= 4.9.2-10), libx32atomic1 (>= 4.9.2-10), lib32asan1 (>= 4.9.2-10), libx32asan1 (>= 4.9.2-10), lib32ubsan0 (>= 4.9.2-10), libx32ubsan0 (>= 4.9.2-10), lib32cilkrts5 (>= 4.9.2-10), libx32cilkrts5 (>= 4.9.2-10), lib32quadmath0 (>= 4.9.2-10), libx32quadmath0 (>= 4.9.2-10) Recommends: libc6-dev (>= 2.13-5) Filename: pool-stretch/gcc_4.9_from_jessie/libx32gcc-4.9-dev_4.9.2-10_amd64.deb Size: 1778876 MD5sum: ba94da79857715476aaeccd22748fa7a SHA1: e3d8c9415569e07de2d578d53f54ed50a26695d4 SHA256: c2754b712a40f6a3b4f87c17aea2daec34cc57cb43cc7d3b436a3d6315770110 SHA512: f8b8b99e632fd135325ac11cfc91259a77ace587d769a87d3395e9197a7b986a0471be6dea402c3130dcd86f24038408034fe6d09d7d821f1c238cb9955c7227 Homepage: http://gcc.gnu.org/ Description: GCC support library (x32 development files) This package contains the headers and static library files necessary for building C programs which use libgcc, libgomp, libquadmath, libssp or libitm. Package: libx32gcc1-dbg Architecture: amd64 Version: 1:4.9.2-10 Priority: extra Section: debug Source: gcc-4.9 (4.9.2-10) Maintainer: Debian GCC Maintainers Installed-Size: 392 Depends: gcc-4.9-base (= 4.9.2-10), libx32gcc1 (= 1:4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/libx32gcc1-dbg_4.9.2-10_amd64.deb Size: 84354 MD5sum: ce4d35f0f23f66513149c155bc98e9c2 SHA1: f152031ee08ba66a969bfd8c08a30bee9d40d420 SHA256: 9bf9b1a561ea042bdf8df42936a3501838c80d1911a93576f0eb6182a3f739b8 SHA512: 7dd77eb42d0046683ce81e09b07c2cc1a1f6f6f544e188c8f919ec2d500c9499379996576a0c2eca44a1bf3b0632757f025c66be07c2cb2b6a7f17417edc7730 Homepage: http://gcc.gnu.org/ Description: GCC support library (debug symbols) Debug symbols for the GCC support library. Package: libx32gcc1 Architecture: amd64 Version: 1:4.9.2-10 Priority: optional Section: libs Source: gcc-4.9 (4.9.2-10) Maintainer: Debian GCC Maintainers Installed-Size: 111 Depends: gcc-4.9-base (= 4.9.2-10), libc6-x32 (>= 2.16) Filename: pool-stretch/gcc_4.9_from_jessie/libx32gcc1_4.9.2-10_amd64.deb Size: 39638 MD5sum: 566d63f5555fe4e1092905609a70556a SHA1: f07188508f64866f1aa6c59193341271b672f9a3 SHA256: 3dbd8b6e20add6808b9de759b8f67b3992e3a8dcc237579d2d414407a39fed2f SHA512: 4d77e89fade1fc2d2cc4b92bccf827611eceac5f35068696c0d5e9b9c84343ff977ae36d04279d6a808f2e58849d59e8b8f7d4ba3af1e0a69792da2c3288f588 Homepage: http://gcc.gnu.org/ Description: GCC support library (x32) Shared version of the support library, a library of internal subroutines that GCC uses to overcome shortcomings of particular machines, or special needs for some languages. Package: libx32gfortran-4.9-dev Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: libdevel Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 2332 Depends: gcc-4.9-base (= 4.9.2-10), libx32gcc-4.9-dev (= 4.9.2-10), libx32gfortran3 (>= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/libx32gfortran-4.9-dev_4.9.2-10_amd64.deb Size: 282974 MD5sum: c0bc47f19002f4d9e36ec4a3622a1215 SHA1: dc1d9272f021ee33d21df1e9d7f6fe37efd9156a SHA256: 3d664a6978a261eb245d93aa46c953bc30e8254af128559521f87836623b8e40 SHA512: dbfc3509e164806a278aa93f73f574e40350b4c213f78bc1534f4a14b97b50ab1d9566092adb64e14655b15a2860f251b9d0f73994c95fd8580a2bd752409022 Homepage: http://gcc.gnu.org/ Description: Runtime library for GNU Fortran applications (x32 development files) This package contains the headers and static library files needed to build GNU Fortran applications. Package: libx32gfortran3-dbg Architecture: amd64 Version: 4.9.2-10 Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 3206 Depends: gcc-4.9-base (= 4.9.2-10), libx32gfortran3 (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/libx32gfortran3-dbg_4.9.2-10_amd64.deb Size: 567742 MD5sum: 3ecd0459d3bdf7f3329a0c8d4d666bb9 SHA1: d1fa8418e5c089ffde75b87f35b707ba914886bf SHA256: 78a5cc9d302d704afc5619d85b46bd6678fca0eb60cf07104d50c35fae444d6a SHA512: 71be5aaf4981db42b33a8d375aa6f2dae845dfe484c218738e4361fd43628a9cfde8360901ceebaac2c478e4670d9f4f578455f2f5460251a29c231bd430db03 Homepage: http://gcc.gnu.org/ Description: Runtime library for GNU Fortran applications (x32 debug symbols) Library needed for GNU Fortran applications linked against the shared library. Package: libx32gfortran3 Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 1135 Depends: gcc-4.9-base (= 4.9.2-10), lib32gcc1 (>= 1:4.1.1), lib32quadmath0 (>= 4.6), libc6-x32 (>= 2.17) Filename: pool-stretch/gcc_4.9_from_jessie/libx32gfortran3_4.9.2-10_amd64.deb Size: 252458 MD5sum: 1468fed26b81ab09e1584af0ef65cbdc SHA1: 11892325379d8cc2fa700edc9edc2da70ceacb91 SHA256: 19b3dc561977447b6b9963004356d5ef8f40a6221b16fd12a3e8a5a49b88eace SHA512: 2e138e6aacfb40feb85de2692d536f9b29482db2e448f2a03ecd89ce42d0c2315e3c46ba2cba922a097f3087931e0ac1cc7169dbb22ecf4e13b85e363b68d724 Homepage: http://gcc.gnu.org/ Description: Runtime library for GNU Fortran applications (x32) Library needed for GNU Fortran applications linked against the shared library. Package: libx32go5-dbg Architecture: amd64 Version: 4.9.2-10 Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 10584 Depends: gcc-4.9-base (= 4.9.2-10), libx32go5 (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/libx32go5-dbg_4.9.2-10_amd64.deb Size: 2853988 MD5sum: 7881c46e6fcd0ce68ec7db5eb51100c0 SHA1: 221f29087739c06513a633b34fed824012bb4597 SHA256: 5cecdecdcbac77d4d8d00dcc9e9132dfd45af969829a6669661fe3bf81fe8f7e SHA512: 889e035d34c0c13c4e4dc7fcbaa8f7b0d73d724c3387bdfb525bae76cbb6b217373672210ef5498998d1cf146259173ecef75977a3facad52c62bc60433af617 Homepage: http://gcc.gnu.org/ Description: Runtime library for GNU Go applications (x32 debug symbols) Library needed for GNU Go applications linked against the shared library. Package: libx32go5 Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 11506 Depends: gcc-4.9-base (= 4.9.2-10), lib32gcc1 (>= 1:4.1.1), libc6-x32 (>= 2.16) Replaces: libx32go3 Filename: pool-stretch/gcc_4.9_from_jessie/libx32go5_4.9.2-10_amd64.deb Size: 2407540 MD5sum: 3874eb67c241d2796439077a3ac51177 SHA1: 9829e485660f618b8cee34fcecf831e9e1100179 SHA256: 0653e3ea91963f110559b47f49dae6f3d2c5d75e96e9f4931a67d30b2bb77b42 SHA512: 26fd8756268b1765043daaf27d97c3da400c24ba59f36d19e8e062d812b45a30790b8e96cd8ff23140d4cbdad7d77c391653ea73aa1baf3ee81e06276b24c407 Homepage: http://gcc.gnu.org/ Description: Runtime library for GNU Go applications (x32) Library needed for GNU Go applications linked against the shared library. Package: libx32gomp1-dbg Architecture: amd64 Version: 4.9.2-10 Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 331 Depends: gcc-4.9-base (= 4.9.2-10), libx32gomp1 (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/libx32gomp1-dbg_4.9.2-10_amd64.deb Size: 84960 MD5sum: 3a82bb84870139e5625d2b764290e8c1 SHA1: 7eb57b68e345530b30a5fa1c1443fe656bf8948b SHA256: b41b7c24f27c7ebb34c1f675843f7e58fe3a2eba0262be2605e5e5237b54b080 SHA512: bf939f92cd5d112b91187fb478136f9fe08b444337aa8dc369b4fa88fa810581bb8e68398a2a43c8490b263cc188ad0c2418cc87e37efd796b613cc28c4f0d3f Homepage: http://gcc.gnu.org/ Description: GCC OpenMP (GOMP) support library (x32 debug symbols) GOMP is an implementation of OpenMP for the C, C++, and Fortran compilers Package: libx32gomp1 Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 109 Depends: gcc-4.9-base (= 4.9.2-10), libc6-x32 (>= 2.17) Filename: pool-stretch/gcc_4.9_from_jessie/libx32gomp1_4.9.2-10_amd64.deb Size: 38016 MD5sum: 127664bca009d1061aeaffb74ca6b79c SHA1: 82b3c75fcddcefaa8735778889be596d09800a29 SHA256: 044374c7af288882d46d25fc22dcf88a8850437e41dbf745594f661b9e8551c6 SHA512: 6fb54d0c26351fa69b66a44f217dbcb00f11a8e12186e3d42a0ff79f3560474d5fd2740c9430d4f37e65660b5f9d6fba7b49648e08519b0c4728dfab8efedfcb Homepage: http://gcc.gnu.org/ Description: GCC OpenMP (GOMP) support library (x32) GOMP is an implementation of OpenMP for the C, C++, and Fortran compilers in the GNU Compiler Collection. Package: libx32itm1-dbg Architecture: amd64 Version: 4.9.2-10 Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 879 Depends: gcc-4.9-base (= 4.9.2-10), libx32itm1 (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/libx32itm1-dbg_4.9.2-10_amd64.deb Size: 182318 MD5sum: 1a20dee6c2bb7b00846d8415c23ecc30 SHA1: dac9879ead5ce656d37ae397694d9e6bf3ddba92 SHA256: 42e250b3392b82347065ec0a64956db864ef4f7aa9a3c7568a95929a1b39f0ce SHA512: 042ab23728d8632db4e612583d69d8fe6a7ff832b56c8c09990c658ddfa97227e817374e6fe11e1719a59fc349d75117b5c9811e016c4fcf1c249d91f4f673e9 Homepage: http://gcc.gnu.org/ Description: GNU Transactional Memory Library (x32 debug symbols) This manual documents the usage and internals of libitm. It provides transaction support for accesses to the memory of a process, enabling easy-to-use synchronization of accesses to shared memory by several threads. Package: libx32itm1 Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 141 Depends: gcc-4.9-base (= 4.9.2-10), libc6-x32 (>= 2.16) Filename: pool-stretch/gcc_4.9_from_jessie/libx32itm1_4.9.2-10_amd64.deb Size: 29704 MD5sum: 76e6656b6d9edf605779f7ef37ee68da SHA1: cbe6be49efa66415d74b44e65dca8fcb96995a76 SHA256: 35c7a53fc900d8afd379bd6d04aacebd76126976aebe444bcfdb1c8380ce9769 SHA512: 8ea79258347f86d8ecdc4b6fb84a2ba220306745baf3614a5fc36aa57fc534a7abdc2274ccf0faa6c4dfe17d18e89d0c5f818c7e9ba05d11332610445226f7d5 Homepage: http://gcc.gnu.org/ Description: GNU Transactional Memory Library (x32) This manual documents the usage and internals of libitm. It provides transaction support for accesses to the memory of a process, enabling easy-to-use synchronization of accesses to shared memory by several threads. Package: libx32lsan0-dbg Architecture: amd64 Version: 4.9.2-10 Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 21 Depends: gcc-4.9-base (= 4.9.2-10), libx32lsan0 (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/libx32lsan0-dbg_4.9.2-10_amd64.deb Size: 1890 MD5sum: 2f05b24298e8c5efc58f81a69b61aab1 SHA1: 76ef2ecf70c9ac3a44df0521c307653c41f1073e SHA256: fa128f83bdc43d4594719d3e5bf678fbde50d65f6ab2ad97dcea3c834a87d7af SHA512: 3106b44092501e88ef672138dc585504af71840d0ae6b26f0c14a45b4033c3b9e5b6ef54714f8242e6a0a34283eb2134e220da18f45cb0a4cd3356faf6c9316b Homepage: http://gcc.gnu.org/ Description: LeakSanitizer -- a memory leak detector (x32 debug symbols) LeakSanitizer (Lsan) is a memory leak detector which is integrated into AddressSanitizer. Package: libx32lsan0 Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 25 Depends: gcc-4.9-base (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/libx32lsan0_4.9.2-10_amd64.deb Size: 1880 MD5sum: cbe091a5e6f4203e8167cdf0b4c49789 SHA1: 3734828b444b46a0724ee790063f6c5082819567 SHA256: 69ad180ab9b1d177fefb4950ed1241e154069726b025eed43f04b62e22868b0c SHA512: 65fe008582a592d970e03c8a59dc8103447d55bd7fb49e0c48d8f9fc3ada3f3b836807fb97b6ac0f91d8085b23dc8eac6a4d62cfe8caaf077f19c397af9ad602 Homepage: http://gcc.gnu.org/ Description: LeakSanitizer -- a memory leak detector (x32) LeakSanitizer (Lsan) is a memory leak detector which is integrated into AddressSanitizer. Package: libx32objc-4.9-dev Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: libdevel Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 2023 Depends: gcc-4.9-base (= 4.9.2-10), libx32gcc-4.9-dev (= 4.9.2-10), libx32objc4 (>= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/libx32objc-4.9-dev_4.9.2-10_amd64.deb Size: 340186 MD5sum: 353539d5cb61395c004f0e02210955b4 SHA1: d54114dbdb0a650fd8f862185c316df3baed75d6 SHA256: 295dc87edf322528cbb644d192d2685988e1a6ace069d376864bee349f5f5a96 SHA512: 55f0b4d82e8e7976105f47bfa9962bfaf0789ee908a050dc9e1ec2edb1c9c05e2fafe2b29627ea20f6fcbc64c20fd75342a6a85cab542c1ffedc1362f4c4fcb1 Homepage: http://gcc.gnu.org/ Description: Runtime library for GNU Objective-C applications (x32 development files) This package contains the headers and static library files needed to build GNU ObjC applications. Package: libx32objc4-dbg Architecture: amd64 Version: 4.9.2-10 Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 777 Depends: gcc-4.9-base (= 4.9.2-10), libx32objc4 (= 4.9.2-10), libx32gcc1-dbg (>= 1:4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/libx32objc4-dbg_4.9.2-10_amd64.deb Size: 197240 MD5sum: 2d4bcc1eb7a261b9be4c8ed576e02f19 SHA1: 1c04c621ca629005221cfa653446bb7f85e6fc24 SHA256: 8a83bdc4b65098d8956886bc44615251da652b3864bf30fb6995636da9bad3e8 SHA512: 974c85a34e09652061d0471ccaf0f7f586e02b0710d1fbb62d158bbad19a7bb72a2df78927a1637e68ae07ba7c5994ee9fa28e762e3471bdbc460012af88d5d7 Homepage: http://gcc.gnu.org/ Description: Runtime library for GNU Objective-C applications (x32 debug symbols) Library needed for GNU ObjC applications linked against the shared library. Package: libx32objc4 Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 361 Depends: gcc-4.9-base (= 4.9.2-10), lib32gcc1 (>= 1:4.1.1), libc6-x32 (>= 2.16) Filename: pool-stretch/gcc_4.9_from_jessie/libx32objc4_4.9.2-10_amd64.deb Size: 106216 MD5sum: 4d03543afb5cd9d59b0a9647e135760e SHA1: 545b924d01a32e34bbd952debae1037bb2e1d353 SHA256: ef6e3ba3ad6c3ff80c552659ad1f26163682eaffe2b2aa9d08d5c9209015845f SHA512: f3dff80b5c0ab2cd183610d8aa333325cd201b296ce5834c0cf07d4b0be2f45322f46328ac55da00a68346b88269ec4c8527fd83e00dfa473739af7f1e424512 Homepage: http://gcc.gnu.org/ Description: Runtime library for GNU Objective-C applications (x32) Library needed for GNU ObjC applications linked against the shared library. Package: libx32quadmath0-dbg Architecture: amd64 Version: 4.9.2-10 Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 572 Depends: gcc-4.9-base (= 4.9.2-10), libx32quadmath0 (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/libx32quadmath0-dbg_4.9.2-10_amd64.deb Size: 150658 MD5sum: 9a5bcc869b75798ac1e820d2d58a0e17 SHA1: 67b15e9568ec50e40c8d8969f83f8f58ac7c4d4a SHA256: 16afc78cd6b69716223afa79db61cefcbb50f54ab1adcd2f33a1cfe00b5e0a6a SHA512: 3556c380de338e9f33f113a0abbe5cc43472c13460f4c565921ed6b26e7b21d80f8dfa990707dd40491b078dfcad526b4e863d1d5d28fe3e7bdae0aad02dad19 Homepage: http://gcc.gnu.org/ Description: GCC Quad-Precision Math Library (x32 debug symbols) A library, which provides quad-precision mathematical functions on targets supporting the __float128 datatype. Package: libx32quadmath0 Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 275 Depends: gcc-4.9-base (= 4.9.2-10), libc6-x32 (>= 2.16) Filename: pool-stretch/gcc_4.9_from_jessie/libx32quadmath0_4.9.2-10_amd64.deb Size: 132862 MD5sum: 48fc8ad8ef936b89e97e0239d375b5ef SHA1: 4c985ff5c24c22c9d30f37d7672f34fda30650d3 SHA256: c24c1469915909f24091b60fae6b5a7cf79e303616e65e8337abafb7d079b8e3 SHA512: c50f16ce46ebac9a59fa5f92023a11c4c2a1f8dd2290a7bb4e657c20645795480be4e925178a6df955e2d8c47a68ce43111c6676d672222736118eb4a882a0d3 Homepage: http://gcc.gnu.org/ Description: GCC Quad-Precision Math Library (x32) A library, which provides quad-precision mathematical functions on targets supporting the __float128 datatype. The library is used to provide on such targets the REAL(16) type in the GNU Fortran compiler. Package: libx32stdc++-4.9-dev Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: libdevel Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 5597 Depends: gcc-4.9-base (= 4.9.2-10), libx32gcc-4.9-dev (= 4.9.2-10), libx32stdc++6 (>= 4.9.2-10), libstdc++-4.9-dev (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/libx32stdc++-4.9-dev_4.9.2-10_amd64.deb Size: 349276 MD5sum: 934026b064fffce846c171d183d46a36 SHA1: 5ae5dab3ad6464262d764fdb290a371921cf8049 SHA256: 09e3fe7b7115a6b93b4874911546efa4df4ce4cc92e194f28fe04a1701b0f894 SHA512: 8254adafc9217ec1c69c10c2ec6646fe0f1fe37793bb7e63782407decf0c9a5aa15e129888ad2a6f6b5b4ce87d202746a382766816db48d650691422dc387b65 Homepage: http://gcc.gnu.org/ Description: GNU Standard C++ Library v3 (development files) This package contains the headers and static library files necessary for building C++ programs which use libstdc++. . libstdc++-v3 is a complete rewrite from the previous libstdc++-v2, which was included up to g++-2.95. The first version of libstdc++-v3 appeared in g++-3.0. Package: libx32stdc++6-4.9-dbg Architecture: amd64 Version: 4.9.2-10 Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 22326 Depends: gcc-4.9-base (= 4.9.2-10), libx32stdc++6 (>= 4.9.2-10), libstdc++-4.9-dev (= 4.9.2-10), libx32gcc1-dbg (>= 1:4.9.2-10), lib32gcc1 (>= 1:4.1.1), libc6-x32 (>= 2.17) Conflicts: libx32stdc++6-4.6-dbg, libx32stdc++6-4.7-dbg, libx32stdc++6-4.8-dbg, libx32stdc++6-dbg Filename: pool-stretch/gcc_4.9_from_jessie/libx32stdc++6-4.9-dbg_4.9.2-10_amd64.deb Size: 3618400 MD5sum: d6bc6929cf66a6207e684c58f5152ae8 SHA1: 57ab09be3b39525aea062133c32469649caa7f95 SHA256: f9662aa3d0aa2b2c78da321252e6f31d7e0b9029e905225265f26484142e7ce8 SHA512: 8a0258d0c6327e51da9ad4968df470db0ec2cc07d1b37aa1ef18fa3d006f8c8382ce4b76fc059da0a867310f92646ab960641e49f526167155a1ff8319f9c21f Homepage: http://gcc.gnu.org/ Description: GNU Standard C++ Library v3 (debugging files) This package contains the shared library of libstdc++ compiled with debugging symbols. Package: libx32stdc++6 Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 926 Depends: gcc-4.9-base (= 4.9.2-10), libx32gcc1 (>= 4.9.2-10), lib32gcc1 (>= 1:4.1.1), libc6-x32 (>= 2.17) Filename: pool-stretch/gcc_4.9_from_jessie/libx32stdc++6_4.9.2-10_amd64.deb Size: 245482 MD5sum: b36cf4894bda55b1ae43048a2d605d31 SHA1: 52f5cac2a856d0ef2c83cce7adabcfc6d748e801 SHA256: 311faa27c76a49c63456e8947440b11e49be222857b526951f28151383d4ab81 SHA512: 8181e324acfcd1d6631280875fab43349859632320c2e388112c83d3b300e77d7417e5399059a51b8dcb1266aafe1554b6e467f53fe62b7deff74fdae3df46be Homepage: http://gcc.gnu.org/ Description: GNU Standard C++ Library v3 (x32) This package contains an additional runtime library for C++ programs built with the GNU compiler. . libstdc++-v3 is a complete rewrite from the previous libstdc++-v2, which was included up to g++-2.95. The first version of libstdc++-v3 appeared in g++-3.0. Package: libx32ubsan0-dbg Architecture: amd64 Version: 4.9.2-10 Priority: extra Section: debug Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 861 Depends: gcc-4.9-base (= 4.9.2-10), libx32ubsan0 (= 4.9.2-10) Filename: pool-stretch/gcc_4.9_from_jessie/libx32ubsan0-dbg_4.9.2-10_amd64.deb Size: 256336 MD5sum: 2ef7d72b6fe38dd62dde754e96b8670d SHA1: 80a43f5bd272f85c8875002947087eb4c2d85c63 SHA256: 27134e5ae5087267b176ed911bf048541b79259945935976f30dd262a9c09f04 SHA512: fd8b808d6233d8fab0d0952ae55fd540392c02def4f4fbf04953e27effa8e09ffe91495e684edd17d80567c1e76bf0e8da987fd40f42520cc9270e07b8d00e08 Homepage: http://gcc.gnu.org/ Description: UBSan -- undefined behaviour sanitizer (x32 debug symbols) UndefinedBehaviorSanitizer can be enabled via -fsanitize=undefined. Various computations will be instrumented to detect undefined behavior at runtime. Available for C and C++. Package: libx32ubsan0 Architecture: amd64 Version: 4.9.2-10 Priority: optional Section: libs Source: gcc-4.9 Maintainer: Debian GCC Maintainers Installed-Size: 220 Depends: gcc-4.9-base (= 4.9.2-10), lib32gcc1 (>= 1:4.1.1), lib32stdc++6 (>= 4.1.1), libc6-x32 (>= 2.16) Filename: pool-stretch/gcc_4.9_from_jessie/libx32ubsan0_4.9.2-10_amd64.deb Size: 83148 MD5sum: 84fb6b0576f6412ba4f5337620648a85 SHA1: 6eb984b795b8e4165b635a1907497c9ee31f529f SHA256: 8f657e9737f348dae0b530689351270eb33e863ec189f35d587627e6b0642a4a SHA512: 2da215841b94f78c48eb1a96de7b67cc4a2d28fdfcfb4875a05094e371c7c28f011a099c5b1b1c543de85640121fcf3e4c2b55c83753989fc56a836240253d13 Homepage: http://gcc.gnu.org/ Description: UBSan -- undefined behaviour sanitizer (x32) UndefinedBehaviorSanitizer can be enabled via -fsanitize=undefined. Various computations will be instrumented to detect undefined behavior at runtime. Available for C and C++. Package: google-mock Architecture: amd64 Version: 1.8.1-3~bpo+Debian.stretch.9.8 Multi-Arch: same Priority: optional Section: oldlibs Source: googletest (1.8.1-3~bpo) Maintainer: Steve M. Robbins Installed-Size: 18 Depends: googletest (= 1.8.1-3~bpo+Debian.stretch.9.8) Filename: pool-stretch/googletest/google-mock_1.8.1-3~bpo+Debian.stretch.9.8_amd64.deb Size: 7288 MD5sum: b420f5e92cd421017618c6eeb53ac4ae SHA1: 9eb62fec88937a0a5951803619df1cea3bdd1c33 SHA256: 177911c2c947c33cd17aee60f8d8ed84cfc4c27f0dd90acddfcad05ad2ba1f81 SHA512: 6fac5ec34087b9e691a01717012a73105d164c09ac3f34bd9d6f6ff05eb43380a1fa279094ecfd99ca665dc9d3ce2b82d88610cf99b9a53bf7cd3029a273ec5f Homepage: https://github.com/google/googletest Description: Google's framework for writing and using C++ mock classes NOTE: This is a transitional package, retained for backwards compatibility. New code should instead use either package libgmock-dev (for compiled lib) or package googletest (for lib sources). Package: googletest-tools Architecture: amd64 Version: 1.8.1-3~bpo+Debian.stretch.9.8 Multi-Arch: same Priority: optional Section: libdevel Source: googletest (1.8.1-3~bpo) Maintainer: Steve M. Robbins Installed-Size: 119 Depends: python:any Conflicts: googletest (<= 1.8.0-8) Replaces: googletest (<= 1.8.0-8) Filename: pool-stretch/googletest/googletest-tools_1.8.1-3~bpo+Debian.stretch.9.8_amd64.deb Size: 26914 MD5sum: cca6153e58fd3b9d13a6e4dfd1e90ca7 SHA1: e310e505a320f17f1fdc4f550ccad997d4909c6f SHA256: 140c43467aeea8e8ab32a981b54ce0c3870a3aa052d5eeb59b05fad956ee139e SHA512: 631463fb604c3827e12bb2fb5b75954cf4c21378550265ceb4b8043a58fa81954626dbebf962d7140af7157b8ca95e71de897f82d1e3553865681498619bcb1f Homepage: https://github.com/google/googletest Description: Google's C++ test framework sources This package provides tools to be used with Google Test and/or Google Mock. Package: googletest Architecture: amd64 Version: 1.8.1-3~bpo+Debian.stretch.9.8 Multi-Arch: same Priority: optional Section: libdevel Source: googletest (1.8.1-3~bpo) Maintainer: Steve M. Robbins Installed-Size: 4955 Conflicts: google-mock (<< 1.8.0), libgtest-dev (<< 1.8.0) Replaces: google-mock (<< 1.8.0), libgtest-dev (<< 1.8.0) Filename: pool-stretch/googletest/googletest_1.8.1-3~bpo+Debian.stretch.9.8_amd64.deb Size: 674198 MD5sum: 35023852197d59e3ef2f819d7c228809 SHA1: e4abee68596e2eb94675095dd0e6874b7899a244 SHA256: 52a1b95f07cba1b493768729c061d1ce81ce77308372a42957cc105a3acbe48f SHA512: a9fb5c508879943aa3a50bb07af194198ceeb98637f2922bb52064a1ed41b69fb18cfb13c1c47b8dd56b66e9688eb3583a272bf04cca815e6a7c850a8f68b3ac Homepage: https://github.com/google/googletest Description: Google's C++ test framework sources This package provides sources for Google Test and Google Mock. . Google Test is a framework for writing C++ tests on a variety of platforms. Based on the xUnit architecture. Supports automatic test discovery, a rich set of assertions, user-defined assertions, death tests, fatal and non-fatal failures, value- and type-parameterized tests, various options for running the tests, and XML test report generation. . Google Mock is an extension of Google Test for C++ mocking. Inspired by jMock, EasyMock, and Hamcrest, and designed with C++'s specifics in mind, it can help you derive better designs of your system and write better tests. . Google Mock: . - provides a declarative syntax for defining mocks, - can easily define partial (hybrid) mocks, which are a cross of real and mock objects, - handles functions of arbitrary types and overloaded functions, - comes with a rich set of matchers for validating function arguments, - uses an intuitive syntax for controlling the behavior of a mock, - does automatic verification of expectations (no record-and-replay needed), - allows arbitrary (partial) ordering constraints on function calls to be expressed, - lets a user extend it by defining new matchers and actions. - does not use exceptions, and - is easy to learn and use. . NOTE: This package does not contain a library to link against, but rather the source code to build the google test and mock libraries. This enables building the google test and mock libraries with the same flags as the C++ code under test. Package: libgmock-dev Architecture: amd64 Version: 1.8.1-3~bpo+Debian.stretch.9.8 Multi-Arch: same Priority: optional Section: libdevel Source: googletest (1.8.1-3~bpo) Maintainer: Steve M. Robbins Installed-Size: 1009 Depends: libgtest-dev (= 1.8.1-3~bpo+Debian.stretch.9.8) Conflicts: googletest (<= 1.8.0-8) Replaces: googletest (<= 1.8.0-8) Filename: pool-stretch/googletest/libgmock-dev_1.8.1-3~bpo+Debian.stretch.9.8_amd64.deb Size: 134026 MD5sum: f6ab3ec9285ebd4610f847134cc375fd SHA1: 1c287299e7f783965b50d6257e8cc792809f4a95 SHA256: 487b5590d1d5efd4f1c763ff2e07997b63e31684aa16a8f6095b332aa46434c9 SHA512: 5b971549d18dbde43af74652ce6af8a90847da8b7316f63aa49f6961a98999e0586e0034b98d69e7b679b832898ca1d2aefded4f153811a8aae18cc4f31e2052 Homepage: https://github.com/google/googletest Description: Google's framework for writing C++ tests Inspired by jMock, EasyMock, and Hamcrest, and designed with C++'s specifics in mind, it can help you derive better designs of your system and write better tests. . Google Mock: . - provides a declarative syntax for defining mocks, - can easily define partial (hybrid) mocks, which are a cross of real and mock objects, - handles functions of arbitrary types and overloaded functions, - comes with a rich set of matchers for validating function arguments, - uses an intuitive syntax for controlling the behavior of a mock, - does automatic verification of expectations (no record-and-replay needed), - allows arbitrary (partial) ordering constraints on function calls to be expressed, - lets a user extend it by defining new matchers and actions. - does not use exceptions, and - is easy to learn and use. Package: libgtest-dev Architecture: amd64 Version: 1.8.1-3~bpo+Debian.stretch.9.8 Multi-Arch: same Priority: optional Section: libdevel Source: googletest (1.8.1-3~bpo) Maintainer: Steve M. Robbins Installed-Size: 1638 Depends: googletest (= 1.8.1-3~bpo+Debian.stretch.9.8) Conflicts: googletest (<= 1.8.0-8) Replaces: googletest (<= 1.8.0-8) Filename: pool-stretch/googletest/libgtest-dev_1.8.1-3~bpo+Debian.stretch.9.8_amd64.deb Size: 220154 MD5sum: c331595cc944c6f68c4bec84b11a9043 SHA1: b28000da487bb8581946d1b695cfa04584e37d94 SHA256: 516b6d40fba34c600922e069d860d00618bc3106c355242b2b8f8f1d02a89e05 SHA512: 14f5a7beb85e42167022d79f507d5287a11949c93e1abc96d7a92a7e938bb661056e77d952b5be34f5dee2713979f6897eb73426aaf29851eabe0864a319b2b5 Homepage: https://github.com/google/googletest Description: Google's framework for writing C++ tests Google's framework for writing C++ tests on a variety of platforms. Based on the xUnit architecture. Supports automatic test discovery, a rich set of assertions, user-defined assertions, death tests, fatal and non-fatal failures, value- and type-parameterized tests, various options for running the tests, and XML test report generation. Package: python-hdbscan-dbgsym Architecture: amd64 Version: 0.8.13-1+Debian.stretch.9.4 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: hdbscan (0.8.13-1) Maintainer: Adam Cecile Installed-Size: 1562 Depends: python-hdbscan (= 0.8.13-1+Debian.stretch.9.4) Filename: pool-stretch/hdbscan/python-hdbscan-dbgsym_0.8.13-1+Debian.stretch.9.4_amd64.deb Size: 1379206 MD5sum: dbb9793d67ac2bd33b394aa49591e5ff SHA1: 585c78a176ddb9531b7ffaf1b582f4f17c04a214 SHA256: 963da394c81cc2fc91d58cee78904ea866892efda98301c046d77935b35db71f SHA512: fe8e1be2f0c68a7a9fe8224adbef15dfd5606413fd4a7e7e5585beb028bf5172554147e304b7ac434eb0e355522c530841e82188c9a97da2924f11fd5a2348b8 Homepage: https://github.com/scikit-learn-contrib/hdbscan Description: Debug symbols for python-hdbscan Build-Ids: 03307c756a9c46392b3481350e122c1a2af72c8c 2c5e02740dcea9b75e12e15873379bda54d8a5cd 32b19ed920e5bdd46cbb14ac2422fcfc52523e75 5b048a9a48d7c65d52f3fe7ffe23624a1ee3c6c1 a43318585d7530cd244def75b251b80928307daf c262df1fa53138e7c819445943e33dfe0342618c Package: python-hdbscan-doc Architecture: all Version: 0.8.13-1+Debian.stretch.9.4 Priority: optional Section: doc Source: hdbscan (0.8.13-1) Maintainer: Adam Cecile Installed-Size: 6690 Depends: libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Filename: pool-stretch/hdbscan/python-hdbscan-doc_0.8.13-1+Debian.stretch.9.4_all.deb Size: 5341820 MD5sum: b28c742c79d4c86bc99d56a57a5bacdb SHA1: 4420e2a50014c7b5b82a6c2826e216bce48447f8 SHA256: ee89102704abfcbf06b63457dc2cca7ddc4fde97e19d5997c47ba448fabf5770 SHA512: 66c8a48fca4255ef65faa0df35db4b56afadc67c7b4291d2d4402212af17e277201a57008eb9f6b43bc4fcfd877c8c60ae1e743f44e494c135ddea4d6bd206dd Homepage: https://github.com/scikit-learn-contrib/hdbscan Description: High performance implementation of HDBSCAN clustering (common documentation) HDBSCAN - Hierarchical Density-Based Spatial Clustering of Applications with Noise. . Performs DBSCAN over varying epsilon values and integrates the result to find a clustering that gives the best stability over epsilon. . This allows HDBSCAN to find clusters of varying densities (unlike DBSCAN), and be more robust to parameter selection. . This is the common documentation package. Package: python-hdbscan Architecture: amd64 Version: 0.8.13-1+Debian.stretch.9.4 Priority: optional Section: python Source: hdbscan (0.8.13-1) Maintainer: Adam Cecile Installed-Size: 1684 Depends: python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, cython, python (<< 2.8), python (>= 2.7~), python-sklearn, python:any (<< 2.8), python:any (>= 2.7.5-5~), libc6 (>= 2.14) Suggests: python-hdbscan-doc Filename: pool-stretch/hdbscan/python-hdbscan_0.8.13-1+Debian.stretch.9.4_amd64.deb Size: 415512 MD5sum: 63bdf93df5d459b99183fc1a5488c950 SHA1: 09c281afb7ea0451b7ce039d6bdadb7f17852b19 SHA256: 158b03b0665474105abc2d79452cbfe03030a0bb9b255dad3d03b1a6ff5dea37 SHA512: ff8ede6eac13c303c2c2b64ecaf7371247f4a43c240bd6d3f6dea3282412b265cd02ee463d089cc7d53cf1e3595f00392267c977057c248d73de321c52f26121 Homepage: https://github.com/scikit-learn-contrib/hdbscan Description: High performance implementation of HDBSCAN clustering (Python 2) HDBSCAN - Hierarchical Density-Based Spatial Clustering of Applications with Noise. . Performs DBSCAN over varying epsilon values and integrates the result to find a clustering that gives the best stability over epsilon. . This allows HDBSCAN to find clusters of varying densities (unlike DBSCAN), and be more robust to parameter selection. . This package installs the library for Python 2. Package: python3-hdbscan-dbgsym Architecture: amd64 Version: 0.8.13-1+Debian.stretch.9.4 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: hdbscan (0.8.13-1) Maintainer: Adam Cecile Installed-Size: 1642 Depends: python3-hdbscan (= 0.8.13-1+Debian.stretch.9.4) Filename: pool-stretch/hdbscan/python3-hdbscan-dbgsym_0.8.13-1+Debian.stretch.9.4_amd64.deb Size: 1464454 MD5sum: 2d936f13869c195a0321a8b965b0c8ef SHA1: adfb8a12f38844fe6ebfd457eab109f2d9a5b6ee SHA256: 6690eccea97bf11f85090fc98aa6da871282567b2ab984190636223d281f8a52 SHA512: eb9aa26ec9eb724f82a3ee9e7dd91f8b9f6bd6e92d42dfa51eb532a6cacaa12a47aacfe37efa93198cea4075a3a3139e74036e2732961725bf9770b1e25c89b1 Homepage: https://github.com/scikit-learn-contrib/hdbscan Description: Debug symbols for python3-hdbscan Build-Ids: 14708bf57a13e57e02ccae4829bec28c676a7caa 2bc4d406b98e136d671c3b9871775a5ab5f57207 98377b3a84e9201e0b1e703cba3365bd99f0290c c14ab2b83d08c5123a2e8a857be75eb5638f45cf e2703d14c2144f9ddb4546921a94450f60e4b5f3 f21a388c2c88bade31fcf6b56a1277a18fa10ded Package: python3-hdbscan Architecture: amd64 Version: 0.8.13-1+Debian.stretch.9.4 Priority: optional Section: python Source: hdbscan (0.8.13-1) Maintainer: Adam Cecile Installed-Size: 1569 Depends: python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, cython3 (>= 0.17~), python3 (<< 3.6), python3 (>= 3.5~), python3-sklearn (>= 0.16~), python3:any (>= 3.4~), libc6 (>= 2.14) Suggests: python-hdbscan-doc Filename: pool-stretch/hdbscan/python3-hdbscan_0.8.13-1+Debian.stretch.9.4_amd64.deb Size: 394038 MD5sum: 0cd3a6ae99e2da50b92d185c684d7936 SHA1: e9c5dc1f24034da0316411c9883a0512dfd52f3c SHA256: 3b8c46f8ae28dc5a1fdc4b645aae72a18d7b26049ed824d6e0d575349a2db5de SHA512: 7e2b17cdebed0a7b95344f5dc9d76c8d78e8f5aae5934b6531bb62a46fac6b0af705009656c5a229fda96bee7b743da7dd570c8d5e337feb9d6cc1ecdd74b116 Homepage: https://github.com/scikit-learn-contrib/hdbscan Description: High performance implementation of HDBSCAN clustering (Python 3) HDBSCAN - Hierarchical Density-Based Spatial Clustering of Applications with Noise. . Performs DBSCAN over varying epsilon values and integrates the result to find a clustering that gives the best stability over epsilon. . This allows HDBSCAN to find clusters of varying densities (unlike DBSCAN), and be more robust to parameter selection. . This package installs the library for Python 3. Package: jupyter-nbformat Architecture: all Version: 4.4.0-1~bpo9+1 Priority: optional Section: utils Source: nbformat Maintainer: Debian Python Modules Team Installed-Size: 16 Depends: python3:any (>= 3.3~), python3-nbformat (= 4.4.0-1~bpo9+1), jupyter-core Filename: pool-stretch/jupyter-notebook/backports/nbformat/jupyter-nbformat_4.4.0-1~bpo9+1_all.deb Size: 6348 MD5sum: 6dba6117b3d780debb49ea832e97a3ff SHA1: 8478e68f8d221716b8dd3820b824d87d13b8be82 SHA256: c03806203bc4cd563803800f63df1b3355576cc18a5bc0eb04f32bb49495ed0b SHA512: 6579432d9a215a4a5eb0fda2b555f49a4119abe3ab5b21fe5e3e10f6a5e8b8da0b95d7deccc9d5e96bd8439bfbba7b2198e0f8d48a7a550eed81096b870b6efc Homepage: https://github.com/jupyter/nbformat Description: Jupyter notebook format (tools) This software component contains the reference implementation of the Jupyter notebook format, and Python APIs to work with notebooks. . This package installs the notebook signing tool. Package: python-nbformat-doc Architecture: all Version: 4.4.0-1~bpo9+1 Built-Using: alabaster (= 0.7.8-1), sphinx (= 1.4.9-2) Multi-Arch: foreign Priority: optional Section: doc Source: nbformat Maintainer: Debian Python Modules Team Installed-Size: 180 Depends: libjs-sphinxdoc (>= 1.0) Filename: pool-stretch/jupyter-notebook/backports/nbformat/python-nbformat-doc_4.4.0-1~bpo9+1_all.deb Size: 37488 MD5sum: 793e548837decb1a7c5df860da168168 SHA1: 5a5db99b3a6369409008fac54befc0c7e98c1fbd SHA256: 76a97f0d26c652386d3198ff9825b8a49b0cd77340f3c23eeb4a5687fed3505a SHA512: f2093bddab355eddbb1d069b7b11e157e276ffb23774f31e24af3a6f2bfba6e7896f8a2ef10d0669dfc2d8995ee700e906071380b6799a4b2a52f63b13ea4110 Homepage: https://github.com/jupyter/nbformat Description: Jupyter notebook format (documentation) This software component contains the reference implementation of the Jupyter notebook format, and Python APIs to work with notebooks. . This package installs the documentation. Package: python-nbformat Architecture: all Version: 4.4.0-1~bpo9+1 Priority: optional Section: python Source: nbformat Maintainer: Debian Python Modules Team Installed-Size: 202 Depends: python-ipython-genutils, python-jsonschema, python-jupyter-core, python-traitlets, python:any (<< 2.8), python:any (>= 2.7.5-5~) Filename: pool-stretch/jupyter-notebook/backports/nbformat/python-nbformat_4.4.0-1~bpo9+1_all.deb Size: 31106 MD5sum: 037ca07c25a17fbec37c417b4bdfa915 SHA1: 1326ce58bb9bbbbbdbbe81507753d05b032f5220 SHA256: 5a187a0d7405b5e402c4907f00e986e3d4a35d0d8d9c59f2b0c24f8ca7299625 SHA512: 77e3f7e05dfb2cbd703cd950ef175c191b073bb91b87cbb321ccb3e2f4ac2988a8f42c2733a0f2612c10d71c8026404ead60b36a8df8fa0fffc748dc2bedba0d Homepage: https://github.com/jupyter/nbformat Description: Jupyter notebook format (Python 2) This software component contains the reference implementation of the Jupyter notebook format, and Python APIs to work with notebooks. . This package installs the library for Python 2. Package: python3-nbformat Architecture: all Version: 4.4.0-1~bpo9+1 Priority: optional Section: python Source: nbformat Maintainer: Debian Python Modules Team Installed-Size: 202 Depends: python3-ipython-genutils, python3-jsonschema, python3-jupyter-core, python3-traitlets, python3:any (>= 3.3.2-2~) Filename: pool-stretch/jupyter-notebook/backports/nbformat/python3-nbformat_4.4.0-1~bpo9+1_all.deb Size: 31180 MD5sum: cebcd2f849bcd2e59c1671cde4fc5707 SHA1: 1b89fe9e9d2de1c7302aad234e1ebd43f380a2bc SHA256: 84c3b639a35b2952bed885e69bf1a14f0d93db094ccdd0d80fc61e006d24c0de SHA512: 4db5527b1b791b1af02547f765595fb5fc2a830e8a564958674cb5c481d1865f3070a0a81b5c74d2670799200f3173e3239bc5c72c908ba4438b84a7f69ee22a Homepage: https://github.com/jupyter/nbformat Description: Jupyter notebook format (Python 3) This software component contains the reference implementation of the Jupyter notebook format, and Python APIs to work with notebooks. . This package installs the library for Python 3. Package: python-nbsphinx-doc Architecture: all Version: 0.2.14+ds-2~bpo9+1 Priority: optional Section: doc Source: nbsphinx Maintainer: Debian Python Modules Team Installed-Size: 1382 Depends: libjs-mathjax, libjs-sphinxdoc (>= 1.0) Suggests: www-browser Enhances: python-nbsphinx (= 0.2.14+ds-2~bpo9+1), python3-nbsphinx (= 0.2.14+ds-2~bpo9+1) Filename: pool-stretch/jupyter-notebook/backports/nbsphinx/python-nbsphinx-doc_0.2.14+ds-2~bpo9+1_all.deb Size: 867474 MD5sum: 61b356fd9487542d5c50c603bea64874 SHA1: b16adc7d7a6223a0769908509dc58ec74c6abe6c SHA256: 76d564faede510e47881bd43e4892b4e8a7c3e6f25f1e9006acc626f3bad7c87 SHA512: d450c33533eeba6ef111b23898c67d464ff28a943e7c79919761c26e222a7c729d83b5006cfaf55b3b3f0e3fcb49522199c3528825f7c0f26684d7dc35523a13 Homepage: http://nbsphinx.rtfd.org/ Description: Jupyter Notebook Tools for Sphinx -- doc nbsphinx is a Sphinx extension that provides a source parser for *.ipynb files. Custom Sphinx directives are used to show Jupyter Notebook code cells (and of course their results) in both HTML and LaTeX output. Un-evaluatednotebooks, i.e., notebooks without stored output cells, will be automatically executed during the Sphinx build process. . This is the common documentation package. Package: python-nbsphinx Architecture: all Version: 0.2.14+ds-2~bpo9+1 Priority: optional Section: python Source: nbsphinx Maintainer: Debian Python Modules Team Installed-Size: 110 Depends: python-docutils, python-jinja2, python-nbconvert, python-nbformat, python-sphinx, python-traitlets, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-nbsphinx-doc (= 0.2.14+ds-2~bpo9+1) Filename: pool-stretch/jupyter-notebook/backports/nbsphinx/python-nbsphinx_0.2.14+ds-2~bpo9+1_all.deb Size: 26248 MD5sum: 8cb0a423e026355f78ac842d695e75ec SHA1: 48029830b447761744834b7d269754a596f0b36c SHA256: 222e8a0db8e1a283b3b6bba1db2ab1b27d45149a59b637f2b326a937965cd757 SHA512: 52ce2cf058588c3988340acc69bec3e9db17f47a0335c4bf2ea7f764974d824ea306709280f0dbddfa9f2692028238deef7656aa7ec62e1905dad01be60948e1 Homepage: http://nbsphinx.rtfd.org/ Description: Jupyter Notebook Tools for Sphinx -- Python nbsphinx is a Sphinx extension that provides a source parser for *.ipynb files. Custom Sphinx directives are used to show Jupyter Notebook code cells (and of course their results) in both HTML and LaTeX output. Un-evaluatednotebooks, i.e., notebooks without stored output cells, will be automatically executed during the Sphinx build process. . This package installs the library for Python 2. Package: python3-nbsphinx Architecture: all Version: 0.2.14+ds-2~bpo9+1 Priority: optional Section: python Source: nbsphinx Maintainer: Debian Python Modules Team Installed-Size: 110 Depends: python3-docutils, python3-jinja2, python3-nbconvert, python3-nbformat, python3-sphinx, python3-traitlets, python3:any (>= 3.3.2-2~) Suggests: python-nbsphinx-doc (= 0.2.14+ds-2~bpo9+1) Filename: pool-stretch/jupyter-notebook/backports/nbsphinx/python3-nbsphinx_0.2.14+ds-2~bpo9+1_all.deb Size: 26336 MD5sum: 6c2c69f5ef228ff18a724417a0a61355 SHA1: 73a1b35cabcd4cd4ee6ba0b0f0e49bf51ddd1ae8 SHA256: 974a39836547110cc51fe78f3b6eb48da22739d74937cd7e5a3d006d6312ae91 SHA512: 368a8968d277f3f61a8b2de5a0c742a8bfdaf0b75fc60953d9fac2d02721c4e293931b153141080e7719a2512b871ec0a414c0b1c34d3a72622bd797e1a67be4 Homepage: http://nbsphinx.rtfd.org/ Description: Jupyter Notebook Tools for Sphinx -- Python 3 nbsphinx is a Sphinx extension that provides a source parser for *.ipynb files. Custom Sphinx directives are used to show Jupyter Notebook code cells (and of course their results) in both HTML and LaTeX output. Un-evaluatednotebooks, i.e., notebooks without stored output cells, will be automatically executed during the Sphinx build process. . This package installs the library for Python 3. Package: libjs-jed Architecture: all Version: 1.1.1-1~bpo9+1 Priority: optional Section: javascript Source: node-jed Maintainer: Debian Javascript Maintainers Installed-Size: 50 Depends: javascript-common Filename: pool-stretch/jupyter-notebook/backports/node-jed/libjs-jed_1.1.1-1~bpo9+1_all.deb Size: 13280 MD5sum: ac27eab0132138983c12bc8238088aad SHA1: 69e70d9aaba342efe66b013339e6210979ee6277 SHA256: 391c529714475ef01534fffd66928a26dab841d3979955c3fa1b63edf4ed3420 SHA512: 4170e37af5993ccd781acc69c9a5130c21c1ac7edda04daede404a439953f41644a0ba8db90f04eae204566c5985254c19a258f8332e608f0df7e7ed09a69f60 Homepage: https://github.com/SlexAxton/Jed#readme Description: Gettext Style i18n for Modern JavaScript Apps - JavaScript library If you don't specifically need a gettext implementation, look at MessageFormat instead, as it has better support for plurals/gender and has built-in locale data. . Jed doesn't include a Gettext file parser, but several third-party parsers exist that can have their output adapted for Jed. . This package contains jed suitable for use with browser environments. Package: node-jed Architecture: all Version: 1.1.1-1~bpo9+1 Priority: optional Section: web Maintainer: Debian Javascript Maintainers Installed-Size: 21 Depends: nodejs, libjs-jed Filename: pool-stretch/jupyter-notebook/backports/node-jed/node-jed_1.1.1-1~bpo9+1_all.deb Size: 5856 MD5sum: 037633d85315f26cf211e1d74d5cfbcd SHA1: 43533b63fc00535f0a6cbbf124aacc636046b046 SHA256: 731e18bbce29c4a5edfc098639ab7283eba32ce19be2e2a6c327468041727ad0 SHA512: c9da42ec87d37919c1c4d31e7283543022d039584ebd006ac97c9ce29a7438da5e0398c59f1bb801937f189519652ef60042b1d0a7bdcef85c227d71fda34f25 Homepage: https://github.com/SlexAxton/Jed#readme Description: Gettext Style i18n for Modern JavaScript Apps - Node.js module If you don't specifically need a gettext implementation, look at MessageFormat instead, as it has better support for plurals/gender and has built-in locale data. . Jed doesn't include a Gettext file parser, but several third-party parsers exist that can have their output adapted for Jed. . Node.js is an event-based server-side JavaScript engine. Package: libjs-xterm Architecture: all Version: 2.7.0+ds1-1~bpo9+1 Priority: optional Section: web Source: node-xterm Maintainer: Debian Javascript Maintainers Installed-Size: 227 Filename: pool-stretch/jupyter-notebook/backports/node-xterm/libjs-xterm_2.7.0+ds1-1~bpo9+1_all.deb Size: 32030 MD5sum: a24fecb8f83a59ff4bdc0d5000f7ef2f SHA1: 14106e2b9dd5ae0df236256dcdeace67d2c330c5 SHA256: e66ada3a8bab8fde197060d4316f0696c930627b84a3bdf8cd4002b8287fa7ff SHA512: ba27ef9cb67d7b500badfc547a1de6625a84e933a7f1eb55e5f224065dfb168d719e403d67f3573a10f51a770f854f853672100fbc56117b763b8321605bea2e Homepage: https://xtermjs.org Description: terminal front-end component for the browser - browser library Xterm.js is a terminal front-end component written in JavaScript that works in the browser. . It enables applications to provide fully featured terminals to their users and create great development experiences. . Features: . - **Text-based application support**: Use xterm.js to work with applications like `bash`, `git` etc. - **Curses-based application support**: Use xterm.js to work with applications like `vim`, `tmux` etc. - **Mouse events support**: Xterm.js captures mouse events like click and scroll and passes them to the terminal's back-end controlling process - **CJK (Chinese, Japanese, Korean) character support**: Xterm.js renders CJK characters seamlessly - **IME support**: Insert international (including CJK) characters using IME input with your keyboard - **Self-contained library**: Xterm.js works on its own. It does not require any external libraries like jQuery or React to work - **Modular, event-based API**: Lets you build addons and themes with ease . This package contains the standalone packed library suitable for running in a web browser. Package: node-xterm Architecture: all Version: 2.7.0+ds1-1~bpo9+1 Priority: optional Section: web Maintainer: Debian Javascript Maintainers Installed-Size: 562 Depends: libjs-xterm Suggests: nodejs Filename: pool-stretch/jupyter-notebook/backports/node-xterm/node-xterm_2.7.0+ds1-1~bpo9+1_all.deb Size: 64760 MD5sum: 259363b0916ff3bc44c5ac68ad30396e SHA1: cad18782de853cdb49a92f05cd57200844089ab9 SHA256: 77910b22a13450546adb4650f8cfd8d6630f844eb470c378deb584308d61341b SHA512: 7e472b0764b87fd8cacf0553c3ac457a025a59a37e99b7ca7558b99a6e9f2a109f08db41887081e12fde270b0527ea1f562bdccd38699565e53fb039d1de7d67 Homepage: https://xtermjs.org Description: terminal front-end component for the browser - NodeJS modules Xterm.js is a terminal front-end component written in JavaScript that works in the browser. . It enables applications to provide fully featured terminals to their users and create great development experiences. . Features: . - **Text-based application support**: Use xterm.js to work with applications like `bash`, `git` etc. - **Curses-based application support**: Use xterm.js to work with applications like `vim`, `tmux` etc. - **Mouse events support**: Xterm.js captures mouse events like click and scroll and passes them to the terminal's back-end controlling process - **CJK (Chinese, Japanese, Korean) character support**: Xterm.js renders CJK characters seamlessly - **IME support**: Insert international (including CJK) characters using IME input with your keyboard - **Self-contained library**: Xterm.js works on its own. It does not require any external libraries like jQuery or React to work - **Modular, event-based API**: Lets you build addons and themes with ease . This package contains the unpacked individual xterm CommonJS modules. Package: python-pandocfilters Architecture: all Version: 1.4.2-1~bpo9+1 Priority: optional Section: python Maintainer: Debian Python Modules Team Installed-Size: 76 Depends: python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: pandoc (>= 1.16~) Filename: pool-stretch/jupyter-notebook/backports/python-pandocfilters/python-pandocfilters_1.4.2-1~bpo9+1_all.deb Size: 19676 MD5sum: 7af8b7f6206cbe8dbd698cf47a258fba SHA1: d02a91378455e4e5d980cc8f58c52d6e0fc76e8b SHA256: 9eacdaa52932ede4093c1b60f4f96cdc39e7706ca63973bf8875f194402cd456 SHA512: e46262139fc6731dde1ce51723a155dd88d084245ca455284faddbd213dbe6621c7cc895edcc8750031cbf06f0f61310def9b146cefccd8807363f7e11954747 Homepage: https://pypi.python.org/pypi/pandocfilters/ Description: python bindings for Pandoc's filters Pandoc is a powerful utility to transform various input formats into a wide range of output formats. To alter the exported output document, Pandoc allows the usage of filters, which are pipes that read a JSON serialization of the Pandoc AST from stdin, transform it in some way, and write it to stdout. It allows therefore to alter the processing of Pandoc's supported input formats, for instance one can add new syntax elements to markdown, etc. . This package provides Python bindings. Package: python3-pandocfilters Architecture: all Version: 1.4.2-1~bpo9+1 Priority: optional Section: python Source: python-pandocfilters Maintainer: Debian Python Modules Team Installed-Size: 76 Depends: python3:any (>= 3.3.2-2~) Recommends: pandoc (>= 1.16~) Filename: pool-stretch/jupyter-notebook/backports/python-pandocfilters/python3-pandocfilters_1.4.2-1~bpo9+1_all.deb Size: 19770 MD5sum: f9d6593a95670af7b6c0be36c9e12b64 SHA1: e004fd048ec8542d63bcd34a0db43eb04e46a366 SHA256: 3bc9baa26f86d0e7513b5731172580ca3a8d8a5c5c03c7ee8818bd69acb303e9 SHA512: 720dc10412d62471fc9c22baf28991a56c9f50d8676d97bd31f70503a5a078af94dfeb2a4221bb0adee70451bf19c3a44609bbd48d7c8a53575fc9533834eabe Homepage: https://pypi.python.org/pypi/pandocfilters/ Description: python3 bindings for Pandoc's filters Pandoc is a powerful utility to transform various input formats into a wide range of output formats. To alter the exported output document, Pandoc allows the usage of filters, which are pipes that read a JSON serialization of the Pandoc AST from stdin, transform it in some way, and write it to stdout. It allows therefore to alter the processing of Pandoc's supported input formats, for instance one can add new syntax elements to markdown, etc. . This package provides Python3 bindings. Package: node-typescript-types Architecture: all Version: 20170519-1~bpo9+1 Priority: extra Section: libs Source: typescript-types Maintainer: Debian Javascript Maintainers Installed-Size: 2081 Filename: pool-stretch/jupyter-notebook/backports/typescript-types/node-typescript-types_20170519-1~bpo9+1_all.deb Size: 177774 MD5sum: a39b55d94fdbd0b751d9fa4ed5b84a21 SHA1: 2a2fdbfeaa19c71b5ee8221700a3492827bd6678 SHA256: a341892c823534b582ddb28092a691eb7d7096428d3f60630dae4c446b659df1 SHA512: 6202132bf1ab9bebe6d89360e308dede9eb2e2f3084b098b59a55b9770d5ed6a58de1cd398b2c7e8789e218f1308083667fc114152fa5d0164da2bd0a0798214 Homepage: http://definitelytyped.org/ Description: Supposedly "high quality" TypeScript type definitions TypeScript type definitions supplied by the DefinitelyTyped project, for JavaScript packages that don't supply their own type definitions. . This description would be longer, but upstream does not give one on their website nor on their Github page. After some very painful experience using NPM, one can eventually deduce that these definitions are needed for certain typescript packages that build on top of javascript packages, where these latter packages don't themselves define any typescript types. . This package contains a subset of the upstream type definitions because there are a ridiculous amount (a few hundred megabytes) and the vast majority of them are probably never going to be needed for Debian. Currently these are: . @types/backbone 1.3.33 @types/chai 3.5.2 @types/expect.js 0.3.29 @types/fs-extra 3.0.1 @types/handlebars 4.0.32 @types/highlight.js 9.1.9 @types/jquery 2.0.45 @types/jsdom 2.0.30 @types/lodash 4.14.64 @types/marked 0.0.28 @types/mathjax 0.0.31 @types/minimatch 2.0.29 @types/minimist 1.2.0 @types/mocha 2.2.41 @types/node 7.0.18 @types/requirejs 2.1.29 @types/semver 5.3.31 @types/shelljs 0.7.1 @types/sinon 2.2.2 @types/underscore 1.8.0 . If you need more than these, please file a bug report asking for git access so that you can update this package yourself. Package: jupyter-notebook Architecture: all Version: 5.1.0-1~bpo9+1 Priority: optional Section: science Maintainer: Debian Python Modules Team Installed-Size: 27 Depends: python3:any (>= 3.3~), python3-notebook (= 5.1.0-1~bpo9+1), jupyter-core Filename: pool-stretch/jupyter-notebook/unreleased/jupyter-notebook/jupyter-notebook_5.1.0-1~bpo9+1_all.deb Size: 7520 MD5sum: c7c16ce63e7c703ee711237a1f17d993 SHA1: d81dcaee7e2fa891585b77a5fc652cf5cccb47a6 SHA256: 9358d20d8d9715b7663c7f4d81e09ff2213a44f661ae66e43c0842bc6b19cf7b SHA512: 2aadb0d21059475af1d155c91d19b890125a659510805391938a93cb5b7474ad02562bce3e5ce911cc4ddb5f9615f253ddf35a328c4c80d431f4386bd7bc3afc Homepage: https://github.com/jupyter/notebook Description: Jupyter interactive notebook The Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations, and explanatory text. The Notebook has support for multiple programming languages, sharing, and interactive widgets. . This package provides the jupyter subcommands "notebook", "nbextension", "serverextension" and "bundlerextension". Package: python-notebook-doc Architecture: all Version: 5.1.0-1~bpo9+1 Built-Using: sphinx (= 1.4.9-2) Priority: optional Section: doc Source: jupyter-notebook Maintainer: Debian Python Modules Team Installed-Size: 6065 Depends: libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common, libjs-mathjax Filename: pool-stretch/jupyter-notebook/unreleased/jupyter-notebook/python-notebook-doc_5.1.0-1~bpo9+1_all.deb Size: 2392666 MD5sum: 719edd5ac2ae4e443ddff698541c7320 SHA1: 5983ca71012c5f5e76528e1416111a79887cdb60 SHA256: 4adb8014a66a64783afbcbcf46dc995ddc5144da7e90f07cdb6d11f2e66146e2 SHA512: da3a413caaba084d9f1c57b34628bbe8d2e6a7ab918a278c74b454d013ffef60aeaca6af864df5a9ca040ff86501caacbfd8354e927fd775bf70cbdf75eaf895 Homepage: https://github.com/jupyter/notebook Description: Jupyter interactive notebook (documentation) The Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations, and explanatory text. The Notebook has support for multiple programming languages, sharing, and interactive widgets. . This package contains the documentation. Package: python-notebook Architecture: all Version: 5.1.0-1~bpo9+1 Built-Using: backbone (= 1.3.3~dfsg-1), codemirror-js (= 5.4.0-1), jquery (= 3.1.1-2), jquery-typeahead.js (= 2.7.6+dfsg1-1), jqueryui (= 1.12.1+dfsg-4), libjs-requirejs-text (= 2.0.12-1), node-bootstrap-tour (= 0.11.0+dfsg-1), node-jed (= 1.1.1-1~bpo9+1), node-moment (= 2.17.1+ds-1), node-xterm (= 2.7.0+ds1-1~bpo9+1), requirejs (= 2.3.2-1), twitter-bootstrap3 (= 3.3.7+dfsg-2), underscore (= 1.8.3~dfsg-1) Priority: optional Section: python Source: jupyter-notebook Maintainer: Debian Python Modules Team Installed-Size: 13969 Depends: python-ipykernel, python-ipython-genutils, python-jinja2, python-jupyter-client, python-jupyter-core, python-nbconvert, python-nbformat, python-tornado, python-traitlets, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-terminado (>= 0.3.3), libjs-backbone (>= 1.2), libjs-bootstrap (>= 3.3), libjs-bootstrap-tour (>= 0.9), libjs-codemirror, libjs-es6-promise (>= 1.0), fonts-font-awesome (>= 4.2), libjs-jed (>= 1.1.1), libjs-jquery, libjs-jquery-ui (>= 1.12), libjs-marked (>= 0.3), libjs-mathjax (>= 2.5), libjs-moment (>= 2.8.4), libjs-requirejs (>= 2.1), libjs-requirejs-text, libjs-text-encoding (>= 0.1), libjs-underscore (>= 1.5), libjs-jquery-typeahead (>= 2.0), libjs-xterm (>= 2.3) Recommends: python-ipywidgets Suggests: python-notebook-doc Filename: pool-stretch/jupyter-notebook/unreleased/jupyter-notebook/python-notebook_5.1.0-1~bpo9+1_all.deb Size: 933096 MD5sum: ae02a6be39abf732c50731381e2e5748 SHA1: 31fca524bb3df59f9a5d347c05ee5127e64ac520 SHA256: 8ab6c905b9ee8d11db1129ecccc1b5139b7fb10e28513111b680ef4121b329bc SHA512: d403cd48c7a6707b33dd2918ae75caff8068b93ff97640eed2f1d877733516362d2aa3ff4b42d614c5bf4acbe10730e2f04ae3d9a32575e1686cfe7778008b5a Homepage: https://github.com/jupyter/notebook Description: Jupyter interactive notebook (Python 2) The Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations, and explanatory text. The Notebook has support for multiple programming languages, sharing, and interactive widgets. . This package contains the Python 2 library. . This package is not required to run Python 2 code in the notebook, only to allow Python 2 code to interact directly with the notebook server. Package: python3-notebook Architecture: all Version: 5.1.0-1~bpo9+1 Built-Using: backbone (= 1.3.3~dfsg-1), codemirror-js (= 5.4.0-1), jquery (= 3.1.1-2), jquery-typeahead.js (= 2.7.6+dfsg1-1), jqueryui (= 1.12.1+dfsg-4), libjs-requirejs-text (= 2.0.12-1), node-bootstrap-tour (= 0.11.0+dfsg-1), node-jed (= 1.1.1-1~bpo9+1), node-moment (= 2.17.1+ds-1), node-xterm (= 2.7.0+ds1-1~bpo9+1), requirejs (= 2.3.2-1), twitter-bootstrap3 (= 3.3.7+dfsg-2), underscore (= 1.8.3~dfsg-1) Priority: optional Section: python Source: jupyter-notebook Maintainer: Debian Python Modules Team Installed-Size: 13969 Depends: python3-ipykernel, python3-ipython-genutils, python3-jinja2, python3-jupyter-client, python3-jupyter-core, python3-nbconvert (>= 5), python3-nbformat (>= 4.4), python3-tornado, python3-traitlets, python3:any (>= 3.3.2-2~), python3-terminado (>= 0.3.3), libjs-backbone (>= 1.2), libjs-bootstrap (>= 3.3), libjs-bootstrap-tour (>= 0.9), libjs-codemirror, libjs-es6-promise (>= 1.0), fonts-font-awesome (>= 4.2), libjs-jed (>= 1.1.1), libjs-jquery, libjs-jquery-ui (>= 1.12), libjs-marked (>= 0.3), libjs-mathjax (>= 2.5), libjs-moment (>= 2.8.4), libjs-requirejs (>= 2.1), libjs-requirejs-text, libjs-text-encoding (>= 0.1), libjs-underscore (>= 1.5), libjs-jquery-typeahead (>= 2.0), libjs-xterm (>= 2.3) Recommends: python3-ipywidgets Suggests: python-notebook-doc Filename: pool-stretch/jupyter-notebook/unreleased/jupyter-notebook/python3-notebook_5.1.0-1~bpo9+1_all.deb Size: 933214 MD5sum: 1042bc1e635f1608b41a70ec97d87e29 SHA1: da2aba37e736d16e69f603d805b8e811bc3e0562 SHA256: 0f58e1037c323f275614ed199db0e46138488be8c40b6e814dab0a9ef1435cc1 SHA512: d63187226a245ed75c8e9be2826347b28195cb3445e02cca2ef5a84d062830ae78b1bd8a87739c56ee9efd5652ccdef302595af4077c3eaa2a2c957181501044 Homepage: https://github.com/jupyter/notebook Description: Jupyter interactive notebook (Python 3) The Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations, and explanatory text. The Notebook has support for multiple programming languages, sharing, and interactive widgets. . This package contains the Python 3 library. Package: jupyter-nbconvert Architecture: all Version: 5.3.1-0~bpo9+1 Priority: optional Section: utils Source: nbconvert Maintainer: Debian Python Modules Team Installed-Size: 21 Depends: python3-nbconvert (= 5.3.1-0~bpo9+1), python3:any (>= 3.3~) Filename: pool-stretch/jupyter-notebook/unreleased/nbconvert/jupyter-nbconvert_5.3.1-0~bpo9+1_all.deb Size: 10360 MD5sum: 2b5c877603daa25d4eaf27bee6214614 SHA1: 5630e159f8169dde095fd195f457a9589b5debe8 SHA256: c8967204d26bd70db29beaf171c935d426ed9fb42e2f20a3716c9ae9d8896e6c SHA512: b1d4099a48950d561e74c16917cf6ff1aec43e146d4b957175f5ff9fc01cbec5a347f2eecdc7fad9674ba7e413eb43ca701ccb238b19b1c67aa939b4db8c7197 Homepage: https://github.com/jupyter/nbconvert Description: Jupyter notebook conversion (scripts) Jupyter nbconvert converts notebooks to various other formats using Jinja templates. . This package installs the jupyter-nbconvert script. Package: python-nbconvert-doc Architecture: all Version: 5.3.1-0~bpo9+1 Built-Using: sphinx (= 1.4.9-2) Priority: optional Section: doc Source: nbconvert Maintainer: Debian Python Modules Team Installed-Size: 1995 Depends: libjs-jquery, libjs-mathjax, libjs-requirejs, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Filename: pool-stretch/jupyter-notebook/unreleased/nbconvert/python-nbconvert-doc_5.3.1-0~bpo9+1_all.deb Size: 243764 MD5sum: 70b0d60d466f088b787ed42de9043208 SHA1: 66a8eef8f7da428f6598b28cff504d35e8ce03a6 SHA256: 38e00adb17259551bfbcbb902f77b49b097e1bfc00ab2834e45f1bd41f8a176d SHA512: 214aa046b0af40aef0566936812922694b352c97ea2e7dbbcca5179f72e06784328818344e9e3d72024a5231d624077ba42c1c71eee68bf201d95ea7243f2692 Homepage: https://github.com/jupyter/nbconvert Description: Jupyter notebook conversion (documentation) Jupyter nbconvert converts notebooks to various other formats using Jinja templates. . This package installs the documentation. Package: python-nbconvert Architecture: all Version: 5.3.1-0~bpo9+1 Priority: optional Section: python Source: nbconvert Maintainer: Debian Python Modules Team Installed-Size: 579 Depends: python-entrypoints, python-ipython (>= 5), python-jupyter-client, python-testpath, python-bleach, python-jinja2, python-jupyter-core, python-mistune, python-nbformat, python-pandocfilters, python-pygments, python-traitlets, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: pandoc Filename: pool-stretch/jupyter-notebook/unreleased/nbconvert/python-nbconvert_5.3.1-0~bpo9+1_all.deb Size: 96114 MD5sum: 812f3ab0607ef87ba9e798a3c197f95c SHA1: 5abe3084f0a796093da10a62798757562a9dc414 SHA256: 146526244fba3401886becd04085981e8760a13686d8cafafc524b264f43d0b4 SHA512: b45f2817d07d82bf2403de6b1e57df6fd949aee12014d3b84495cb66c71c5a65e1af2e4b60107c51da9fca5c37d60070b7cbe06c64f33e45a8cb1f71502e8885 Homepage: https://github.com/jupyter/nbconvert Description: Jupyter notebook conversion (Python 2) Jupyter nbconvert converts notebooks to various other formats using Jinja templates. . This package installs the library for Python 2. Package: python3-nbconvert Architecture: all Version: 5.3.1-0~bpo9+1 Priority: optional Section: python Source: nbconvert Maintainer: Debian Python Modules Team Installed-Size: 579 Depends: python3-entrypoints, python3-ipython (>= 5.0.0), python3-jupyter-client, python3-testpath, python3-bleach, python3-jinja2, python3-jupyter-core, python3-mistune, python3-nbformat (>= 4.4.0), python3-pandocfilters (>= 1.4), python3-pygments, python3-traitlets, python3:any (>= 3.3.2-2~) Recommends: pandoc Filename: pool-stretch/jupyter-notebook/unreleased/nbconvert/python3-nbconvert_5.3.1-0~bpo9+1_all.deb Size: 96214 MD5sum: 4dc41f918b7b1fb43a68ac309e5f4433 SHA1: d352edeab412e4cb7588ecf2f6e43c97c3337944 SHA256: 4cd624ac179511462c80dd560707c8554a07faf7f81dc810b8edd9659a29ab57 SHA512: 4b883d047dbf0a5178880838f36072e2e0bee550f0088497d2892cc99339ff0c858f857a8d61d0dba3fa2acfcc2d2309ffa0600f7d0362d6fc998460a357e771 Homepage: https://github.com/jupyter/nbconvert Description: Jupyter notebook conversion (Python 3) Jupyter nbconvert converts notebooks to various other formats using Jinja templates. . This package installs the library for Python 3. Package: keras-doc Architecture: all Version: 2.2.4-1~bpo+Debian.stretch.9.7 Priority: optional Section: doc Source: keras (2.2.4-1~bpo) Maintainer: Debian Science Maintainers Installed-Size: 2942 Suggests: python3-keras Filename: pool-stretch/keras/keras-doc_2.2.4-1~bpo+Debian.stretch.9.7_all.deb Size: 985648 MD5sum: 2481d417ad2fc6873f588bc3f2b66992 SHA1: c0a7649e4a6e458a5fdb42b4b6ed8c836009724d SHA256: e6bfb1899cbb2f354a11b5b29a30ae671a24f65fcf92d9dd451241c16a472161 SHA512: d07597bf4fb0aef277fee4893f99507bf0dea843269e9c1c397feea56ba37a5cf3bd4634143c8ac4383c409b8d8e6f850fb5345f966a7ba6bfb5cfff37b70dac Homepage: http://keras.io/ Description: CPU/GPU math expression compiler for Python (docs) Keras is a Python library for machine learning based on deep (multi- layered) artificial neural networks (DNN), which follows a minimalistic and modular design with a focus on fast experimentation. . Features of DNNs like neural layers, cost functions, optimizers, initialization schemes, activation functions and regularization schemes are available in Keras a standalone modules which can be plugged together as wanted to create sequence models or more complex architectures. Keras supports convolutions neural networks (CNN, used for image recognition resp. classification) and recurrent neural networks (RNN, suitable for sequence analysis like in natural language processing). . It runs as an abstraction layer on the top of Theano (math expression compiler) by default, which makes it possible to accelerate the computations by using (GP)GPU devices. Alternatively, Keras could run on Google's TensorFlow (not yet available in Debian). . This package contains the documentation for Keras. Package: python-keras-applications Architecture: all Version: 1.0.6-1~bpo+Debian.stretch.9.7 Priority: optional Section: python Source: keras-applications (1.0.6-1~bpo) Maintainer: Debian Science Maintainers Installed-Size: 198 Depends: python-h5py, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-keras Filename: pool-stretch/keras/python-keras-applications_1.0.6-1~bpo+Debian.stretch.9.7_all.deb Size: 24904 MD5sum: 60c83efe1eccac7b70be95e8454feff8 SHA1: df589719ab8a3eed9590a5f8779755d7bfb3a044 SHA256: beaca92e1f632ea5018d9f9922cc1e77c8ecc12663debd903cd9dc810a40d803 SHA512: 45c6d206fc7497326ee5a8e4f2c1480e4d81a21cba6f031cbfa37a74c7fb8ab7273f6f6c65b84130d1b52c7948a44838a4b9d162d3723aeb2c177d12333869a3 Homepage: http://keras.io/ Description: popular models and pre-trained weights for the Keras deep learning framework Keras is a Python library for machine learning based on deep (multi- layered) artificial neural networks (DNN), which follows a minimalistic and modular design with a focus on fast experimentation. . Features of DNNs like neural layers, cost functions, optimizers, initialization schemes, activation functions and regularization schemes are available in Keras a standalone modules which can be plugged together as wanted to create sequence models or more complex architectures. Keras supports convolutions neural networks (CNN, used for image recognition resp. classification) and recurrent neural networks (RNN, suitable for sequence analysis like in natural language processing). . It runs as an abstraction layer on the top of Theano (math expression compiler) by default, which makes it possible to accelerate the computations by using (GP)GPU devices. Alternatively, Keras could run on Google's TensorFlow (not yet available in Debian). . Keras Applications is the applications module of the Keras deep learning library. It provides model definitions and pre-trained weights for a number of popular architectures, such as VGG16, ResNet50, Xception, MobileNet, and more. Package: python-keras-doc Architecture: all Version: 2.0.8-1+Debian-stretch-9.1 Priority: optional Section: doc Source: keras (2.0.8-1) Maintainer: Adam Cecile Installed-Size: 2348 Filename: pool-stretch/keras/python-keras-doc_2.0.8-1+Debian-stretch-9.1_all.deb Size: 764998 MD5sum: b934d2df01ff99386b3555ea229262a0 SHA1: 3e12b996ab561db74493c1f4aa7a520be107d9a6 SHA256: 62a4e71f82eb92bcdf2f71daf77d1521f3d18632bea3786a01f551e287a0f60b SHA512: 891dda09569632a73da8d41dbd8a4d6341ba4e34a515df758a021895b28d4244f5de999be445bd4e2c37ce58971d30849094de72abfad700ea4d8da5fc26b1cf Homepage: https://github.com/fchollet/keras Description: Deep Learning library for Python (TensorFlow, Theano, or CNTK) (common documentation) Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. . It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research. . This is the common documentation package. Package: python-keras-doc Architecture: all Version: 2.1.5-1+Debian-stretch-9.4 Priority: optional Section: doc Source: keras (2.1.5-1) Maintainer: Adam Cecile Installed-Size: 2459 Filename: pool-stretch/keras/python-keras-doc_2.1.5-1+Debian-stretch-9.4_all.deb Size: 789324 MD5sum: 291322ba6ea62aed777ffb23acbf041f SHA1: 31926c1033023b20727ff99d2c08eaf41686c4ef SHA256: 6e0ae5ab4e8a4826f1ca7768178a99ad824b6e0c36c941524684e60129583c50 SHA512: ade16d5911d3815d219d1e148600eda5efeb1f616d568b20968390d7d2577b57d993bf6ba23c55782f1ebe7137f024ad7128284f6234449e0f8d71071702d4f7 Homepage: https://github.com/fchollet/keras Description: Deep Learning library for Python (TensorFlow, Theano, or CNTK) (common documentation) Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. . It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research. . This is the common documentation package. Package: python-keras-preprocessing Architecture: all Version: 1.0.5-1~bpo+Debian.stretch.9.7 Priority: optional Section: python Source: keras-preprocessing (1.0.5-1~bpo) Maintainer: Debian Science Maintainers Installed-Size: 152 Depends: python-numpy, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-keras Filename: pool-stretch/keras/python-keras-preprocessing_1.0.5-1~bpo+Debian.stretch.9.7_all.deb Size: 29600 MD5sum: e3d47deae2a666e6cb1fcdd445cef605 SHA1: 452a40066c3a2433f7373c4c43841273be618437 SHA256: f7033775da0acbe0acc1841b1c6e3e198c5e96e6f7a3890f0588ce6ce0683c0b SHA512: 81c1c54727b3d09ff6ed8833561c66f6af497def3e0633440c4856b2b77b4d0fcff918c48a0a8e794bd00ec8662aaa02dea51ba48b259d7b3b4818160b8dc83d Homepage: http://keras.io/ Description: data preprocessing module for the Keras deep learning framework Keras is a Python library for machine learning based on deep (multi- layered) artificial neural networks (DNN), which follows a minimalistic and modular design with a focus on fast experimentation. . Features of DNNs like neural layers, cost functions, optimizers, initialization schemes, activation functions and regularization schemes are available in Keras a standalone modules which can be plugged together as wanted to create sequence models or more complex architectures. Keras supports convolutions neural networks (CNN, used for image recognition resp. classification) and recurrent neural networks (RNN, suitable for sequence analysis like in natural language processing). . It runs as an abstraction layer on the top of Theano (math expression compiler) by default, which makes it possible to accelerate the computations by using (GP)GPU devices. Alternatively, Keras could run on Google's TensorFlow (not yet available in Debian). . Keras Preprocessing is the data preprocessing and data augmentation module of the Keras deep learning library. It provides utilities for working with image data, text data, and sequence data. Package: python-keras Architecture: all Version: 2.0.8-1+Debian-stretch-9.1 Priority: optional Section: python Source: keras (2.0.8-1) Maintainer: Adam Cecile Installed-Size: 1346 Depends: python-numpy, python-scipy, python-six (>= 1.9.0), python-yaml, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-tensorflow Suggests: python-keras-doc Filename: pool-stretch/keras/python-keras_2.0.8-1+Debian-stretch-9.1_all.deb Size: 179724 MD5sum: e51dc549bb2ec309a807c39da4cb6b9f SHA1: e31c18990b85a650250dd456c1bb09622a8c8840 SHA256: 5b11e6c656a5ad83f1bf13908830dc2cadb15117dd3a6397a495ccb4f1144c92 SHA512: 4488004ed3184620d6c37484bd9cc34c1494d24df2d74252c5f3838324b22f3b9a403d8de52889d5b3127dcf400810879a57fd42ea9bc0ee11421a000bfc7d4e Homepage: https://github.com/fchollet/keras Description: Deep Learning library for Python (TensorFlow, Theano, or CNTK) (Python 2) Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. . It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research. . This package installs the library for Python 2. Package: python-keras Architecture: all Version: 2.1.5-1+Debian-stretch-9.4 Priority: optional Section: python Source: keras (2.1.5-1) Maintainer: Adam Cecile Installed-Size: 1641 Depends: python-numpy, python-scipy, python-six (>= 1.9.0), python-yaml, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-tensorflow Suggests: python-keras-doc Filename: pool-stretch/keras/python-keras_2.1.5-1+Debian-stretch-9.4_all.deb Size: 208988 MD5sum: 93acd5cb6a2768a3f59b8e9d2df0ca09 SHA1: 337f54b7e3df3022835306b3d116b8e882bd4b68 SHA256: 6aac15b4155c224ff27cca9374f8ff728c1b09e2682d52f9371fe8cd3195b7df SHA512: d90b3c70c54fb292ed4f678b19d4b17a9f6bc94c82adf9121b4372e433cf8c482059f881a75bccb07ef8485eb607f4aaa1651acdf2d4f6a5a1bfc6a6861c79e6 Homepage: https://github.com/fchollet/keras Description: Deep Learning library for Python (TensorFlow, Theano, or CNTK) (Python 2) Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. . It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research. . This package installs the library for Python 2. Package: python-keras Architecture: all Version: 2.2.4-1~bpo+Debian.stretch.9.7 Priority: optional Section: python Source: keras (2.2.4-1~bpo) Maintainer: Debian Science Maintainers Installed-Size: 184631 Depends: python-numpy, python-scipy, python-h5py, python-theano, python (<< 2.8), python (>= 2.7~), python-keras-applications, python-keras-preprocessing, python-six (>= 1.9.0), python-yaml, python:any (<< 2.8), python:any (>= 2.7.5-5~) Filename: pool-stretch/keras/python-keras_2.2.4-1~bpo+Debian.stretch.9.7_all.deb Size: 15808472 MD5sum: 7ce4447134c4ff582357f0b997ea1270 SHA1: 5214fdd39aee8940a129162c8e7b4bd5d096e7d1 SHA256: 410ed299c767415201154b271b1f40f7c9fbdb70de35741f0c713d84727cf3a5 SHA512: 8a76bf1cf3f4a877152ac0f06c1b3002e5692caf16005b80ef7e50c4c68e75391e497d6540c01b4c8e90bc97b23a5584dc34465a49289df43177cff9f0e22811 Homepage: http://keras.io/ Description: deep learning framework running on Theano or TensorFlow Keras is a Python library for machine learning based on deep (multi- layered) artificial neural networks (DNN), which follows a minimalistic and modular design with a focus on fast experimentation. . Features of DNNs like neural layers, cost functions, optimizers, initialization schemes, activation functions and regularization schemes are available in Keras a standalone modules which can be plugged together as wanted to create sequence models or more complex architectures. Keras supports convolutions neural networks (CNN, used for image recognition resp. classification) and recurrent neural networks (RNN, suitable for sequence analysis like in natural language processing). . It runs as an abstraction layer on the top of Theano (math expression compiler) by default, which makes it possible to accelerate the computations by using (GP)GPU devices. Alternatively, Keras could run on Google's TensorFlow (not yet available in Debian). Package: python3-keras-applications Architecture: all Version: 1.0.6-1~bpo+Debian.stretch.9.7 Priority: optional Section: python Source: keras-applications (1.0.6-1~bpo) Maintainer: Debian Science Maintainers Installed-Size: 198 Depends: python3-h5py, python3-numpy, python3:any (>= 3.4~) Recommends: python3-keras Filename: pool-stretch/keras/python3-keras-applications_1.0.6-1~bpo+Debian.stretch.9.7_all.deb Size: 24968 MD5sum: cb3f1bb1f5a53e26c7fab24fc3b112b5 SHA1: 3e28ece92fedefc412ef636c554d5c81adbf4798 SHA256: eb335aa7cd2bd017661a4e8b7f781167127875266b4824676bc36b61735bf58b SHA512: 3849a15d9fc02afd1294bdd934fed8d5aba45851a5409fb86373feaf9184cb32f66267293b6a914c52b40926cbaf1116c7f9d81f369b273f11280e49c89741ab Homepage: http://keras.io/ Description: popular models and pre-trained weights for the Keras deep learning framework Keras is a Python library for machine learning based on deep (multi- layered) artificial neural networks (DNN), which follows a minimalistic and modular design with a focus on fast experimentation. . Features of DNNs like neural layers, cost functions, optimizers, initialization schemes, activation functions and regularization schemes are available in Keras a standalone modules which can be plugged together as wanted to create sequence models or more complex architectures. Keras supports convolutions neural networks (CNN, used for image recognition resp. classification) and recurrent neural networks (RNN, suitable for sequence analysis like in natural language processing). . It runs as an abstraction layer on the top of Theano (math expression compiler) by default, which makes it possible to accelerate the computations by using (GP)GPU devices. Alternatively, Keras could run on Google's TensorFlow (not yet available in Debian). . Keras Applications is the applications module of the Keras deep learning library. It provides model definitions and pre-trained weights for a number of popular architectures, such as VGG16, ResNet50, Xception, MobileNet, and more. Package: python3-keras-preprocessing Architecture: all Version: 1.0.5-1~bpo+Debian.stretch.9.7 Priority: optional Section: python Source: keras-preprocessing (1.0.5-1~bpo) Maintainer: Debian Science Maintainers Installed-Size: 152 Depends: python3-numpy, python3-six, python3:any (>= 3.4~) Recommends: python3-keras Filename: pool-stretch/keras/python3-keras-preprocessing_1.0.5-1~bpo+Debian.stretch.9.7_all.deb Size: 29686 MD5sum: 5661f34aa7887b538d1373071a15de95 SHA1: 5d4c706d4c03535673b563c317dd2c35a3f79014 SHA256: a574efa34c54b8d69f0d924647b64c535856b929965db571d305491076001cda SHA512: 3ccb6934b503de8237ee1d41e2c5bcd1368d1473dd76e0e7e015411af3636483d8404769d395c06cbd5d5bee568718145ee6e312b15d9e5616b3993f3da3593c Homepage: http://keras.io/ Description: data preprocessing module for the Keras deep learning framework Keras is a Python library for machine learning based on deep (multi- layered) artificial neural networks (DNN), which follows a minimalistic and modular design with a focus on fast experimentation. . Features of DNNs like neural layers, cost functions, optimizers, initialization schemes, activation functions and regularization schemes are available in Keras a standalone modules which can be plugged together as wanted to create sequence models or more complex architectures. Keras supports convolutions neural networks (CNN, used for image recognition resp. classification) and recurrent neural networks (RNN, suitable for sequence analysis like in natural language processing). . It runs as an abstraction layer on the top of Theano (math expression compiler) by default, which makes it possible to accelerate the computations by using (GP)GPU devices. Alternatively, Keras could run on Google's TensorFlow (not yet available in Debian). . Keras Preprocessing is the data preprocessing and data augmentation module of the Keras deep learning library. It provides utilities for working with image data, text data, and sequence data. Package: python3-keras Architecture: all Version: 2.0.8-1+Debian-stretch-9.1 Priority: optional Section: python Source: keras (2.0.8-1) Maintainer: Adam Cecile Installed-Size: 1346 Depends: python3-numpy, python3-scipy, python3-six (>= 1.9.0), python3-yaml, python3:any (>= 3.3.2-2~) Recommends: python3-tensorflow Suggests: python-keras-doc Filename: pool-stretch/keras/python3-keras_2.0.8-1+Debian-stretch-9.1_all.deb Size: 179852 MD5sum: 2f3beaba651950b1beee89b73f7bc5e2 SHA1: e15d77a0c0dd46b450887db0bd2fde1f2376fe52 SHA256: 178d96192db19dd3e9349f765f017a6b3faa4c51314f0572d7d7c688c186cac9 SHA512: bb7203b07bdaa5e32729287147a365e95499a4017189e2ec0ee80a7e757aa0cebb7cc3a08bc56f22a2b9aceb6ad1919893af53df78fede8a4b738770f274f73f Homepage: https://github.com/fchollet/keras Description: Deep Learning library for Python (TensorFlow, Theano, or CNTK) (Python 3) Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. . It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research. . This package installs the library for Python 3. Package: python3-keras Architecture: all Version: 2.1.5-1+Debian-stretch-9.4 Priority: optional Section: python Source: keras (2.1.5-1) Maintainer: Adam Cecile Installed-Size: 1641 Depends: python3-numpy (>= 1.9.1~), python3-scipy (>= 0.14~), python3-six (>= 1.9.0), python3-yaml, python3:any (>= 3.3.2-2~) Recommends: python3-tensorflow Suggests: python-keras-doc Filename: pool-stretch/keras/python3-keras_2.1.5-1+Debian-stretch-9.4_all.deb Size: 209106 MD5sum: 6981a973eeb329ef46dd2066343aa7d3 SHA1: fc634fc338c49ced656fb32be8e27b4b358a65ec SHA256: 5cbdb05e8ce5d02a408f3df066f1a27044d7a0c78b14148921895d6007f10e91 SHA512: 03b239d787008434e85dd99c0513f2e02c935549d43806a518cee81ee7fa0b992d25d706c821e17e72cafe9d96e732a82451c451d53b8b03ad097c2c8f4764b3 Homepage: https://github.com/fchollet/keras Description: Deep Learning library for Python (TensorFlow, Theano, or CNTK) (Python 3) Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. . It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research. . This package installs the library for Python 3. Package: python3-keras Architecture: all Version: 2.2.4-1~bpo+Debian.stretch.9.7 Priority: optional Section: python Source: keras (2.2.4-1~bpo) Maintainer: Debian Science Maintainers Installed-Size: 190887 Depends: python3-numpy, python3-scipy, python3-h5py, python3-theano, python3 (<< 3.6), python3 (>= 3.5~), python3-keras-applications, python3-keras-preprocessing, python3-six (>= 1.9.0), python3-yaml, python3:any (>= 3.4~) Filename: pool-stretch/keras/python3-keras_2.2.4-1~bpo+Debian.stretch.9.7_all.deb Size: 16643378 MD5sum: e86f47b6fe3b115a157378a1c95023ac SHA1: e53d7c34d2ff53d60955cb04a83ad4b6608d88e4 SHA256: 20f46f3c147656d93aa3e53ffeb92cc36c97293ce4e8b5b9c2b331d591f14668 SHA512: dafbc6aed92a90d0a1e19f915512ae750eeb7d57f420f9ab4c1481acc2b264cd39ac804ae04a21333349ea45ca14574b886b19a4e6e62e8368a46817fdd2f3cc Homepage: http://keras.io/ Description: deep learning framework running on Theano or TensorFlow Keras is a Python library for machine learning based on deep (multi- layered) artificial neural networks (DNN), which follows a minimalistic and modular design with a focus on fast experimentation. . Features of DNNs like neural layers, cost functions, optimizers, initialization schemes, activation functions and regularization schemes are available in Keras a standalone modules which can be plugged together as wanted to create sequence models or more complex architectures. Keras supports convolutions neural networks (CNN, used for image recognition resp. classification) and recurrent neural networks (RNN, suitable for sequence analysis like in natural language processing). . It runs as an abstraction layer on the top of Theano (math expression compiler) by default, which makes it possible to accelerate the computations by using (GP)GPU devices. Alternatively, Keras could run on Google's TensorFlow (not yet available in Debian). Package: libcudnn6-dev Architecture: amd64 Version: 6.0.21-1+cuda8.0 Priority: optional Section: multiverse/devel Source: cudnn Maintainer: cudatools Installed-Size: 140586 Depends: libcudnn6 (= 6.0.21-1+cuda8.0) Filename: pool-stretch/libcudnn/libcudnn6-dev_6.0.21-1+cuda8.0_amd64.deb Size: 59877422 MD5sum: ba59843cd87d4c1a0bfcac438835167f SHA1: 36529c64aea9b954cf8056d4549928bc4387c627 SHA256: aee218ad9514b528cb88691eda63d270e99e84d0b59cf928923c960fed6b9750 SHA512: 306bb8e01d06dbe94d02ef4093a2f2768d956386da861b1379d99fff68c713d1a73ba972c609f5d105816778ef2c789578073a68cf6b2bbaaf52242dc76a65d2 Description: cuDNN development libraries and headers cuDNN development libraries and headers. cuDNN provides primitives for deep neural networks. Package: libcudnn6 Architecture: amd64 Version: 6.0.21-1+cuda8.0 Priority: optional Section: multiverse/libs Source: cudnn Maintainer: cudatools Installed-Size: 150721 Filename: pool-stretch/libcudnn/libcudnn6_6.0.21-1+cuda8.0_amd64.deb Size: 68498190 MD5sum: 99b33197817e2f803bbbff1166addbb6 SHA1: 315e8130d8f1ff7a71321abedc771ceda6096ff9 SHA256: 4bbeefbbc33b447a7bb6462dcd97a1e1a69e72bb42a0624e6e417666106bc775 SHA512: f47d9a7591cd67d6108c2395f9d10c1029a526f0c12f8a16005ba640fbc2ac706a9c0a307566f7c3214b50215d1958bffce2eba29eb19816af98b6ad8be550d9 Description: cuDNN runtime libraries cuDNN runtime libraries containing primitives for deep neural networks. 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Package: libcudnn7 Architecture: amd64 Version: 7.1.1.5-1+cuda8.0 Priority: optional Section: multiverse/libs Source: cudnn Maintainer: cudatools Installed-Size: 196021 Filename: pool-stretch/libcudnn/libcudnn7_7.1.1.5-1+cuda8.0_amd64.deb Size: 84591804 MD5sum: 9961f9ad5c38d4d0026035acad3c39dd SHA1: f060c750acc577e9f9b42eff8e99cc5411425516 SHA256: f012536d111f103edafaaf384da1dc6209bf9ebcdf071a08dcc520fa3e9b26c2 SHA512: 728bae873e8852eb9afa1cf24ee62c93fa55a97053f1a4ff986d374e08fe37c1f00693e04cb0f061d0975ed2a601828264d858467f16df2eb7c9e0f2fc6af2e1 Description: cuDNN runtime libraries cuDNN runtime libraries containing primitives for deep neural networks. Package: libjasper-dev Architecture: amd64 Version: 2.0.14-1+Debian.stretch.9.1 Priority: optional Section: libdevel Source: jasper (2.0.14-1) Maintainer: Roland Stigge Installed-Size: 2703 Depends: libjasper4 (= 2.0.14-1+Debian.stretch.9.1) Conflicts: libjasper-1.700-2-dev Replaces: libjasper-1.700-2-dev Filename: pool-stretch/libjasper/libjasper-dev_2.0.14-1+Debian.stretch.9.1_amd64.deb Size: 534068 MD5sum: b6bd6df34e7d7e04aa8f95a83a9cb180 SHA1: b6aeca50236e7f9178139e53024924d164354d7e SHA256: 3fc5c6ac4d8cdfd096491c6cfbb4a98bde27870f1993c1886fbb1b13b18b8a6e SHA512: b17b6432783e000900f495a1feed56cf503eb68f812785f237171880a11812c37cf204ae1e375ca0dffaa2cfd94cb16376048c79055a2b1520c79a28ea2837a8 Description: Development files for the JasPer JPEG-2000 library JasPer is a collection of software (i.e., a library and application programs) for the coding and manipulation of images. This software can handle image data in a variety of formats. One such format supported by JasPer is the JPEG-2000 format defined in ISO/IEC 15444-1:2000. . This package contains the static library and headers. Package: libjasper-dev Architecture: amd64 Version: 2.0.16-0+Debian.stretch.9.9 Priority: optional Section: libdevel Source: jasper (2.0.16-0) Maintainer: Roland Stigge Installed-Size: 2704 Depends: libjasper4 (= 2.0.16-0+Debian.stretch.9.9) Conflicts: libjasper-1.700-2-dev Replaces: libjasper-1.700-2-dev Filename: pool-stretch/libjasper/libjasper-dev_2.0.16-0+Debian.stretch.9.9_amd64.deb Size: 534030 MD5sum: 6620ff118520503ac16fcaccfff93db6 SHA1: 667f509fd5ffffbd1a3ddbe4ae6306ad58c00017 SHA256: b1e518a9b9257077c203beb3ef644b36c6154e35025e15b12d9cecf90f98ce50 SHA512: 6ec0b81c55157baf0b05b26b3669531a0830843d17b045202cd86f8cab4fceff2f090c344e722bab1dab42b9ea6700b522d6ca8cf9dd462295c68929bf0ad81e Description: Development files for the JasPer JPEG-2000 library JasPer is a collection of software (i.e., a library and application programs) for the coding and manipulation of images. This software can handle image data in a variety of formats. One such format supported by JasPer is the JPEG-2000 format defined in ISO/IEC 15444-1:2000. . This package contains the static library and headers. Package: libjasper-runtime-dbgsym Architecture: amd64 Version: 2.0.14-1+Debian.stretch.9.1 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: jasper (2.0.14-1) Maintainer: Roland Stigge Installed-Size: 83 Depends: libjasper-runtime (= 2.0.14-1+Debian.stretch.9.1) Filename: pool-stretch/libjasper/libjasper-runtime-dbgsym_2.0.14-1+Debian.stretch.9.1_amd64.deb Size: 44172 MD5sum: 6ab29fa020a6cbf5540d268b531f4efa SHA1: ccb01d4888a46333b0b1e4824bf010d89a528646 SHA256: 895942e4188426b57bf9daf39ec06fde699214dfb90c78e7d6d74604d59bcb7e SHA512: f89bcba664dd407b181f514bf2b91f46fb6584cf3e423fe266eb9f70111b702da936e27a8e3d5734e2a1f0f0918189fff8cbf975a88c222697d398e096ee1685 Description: Debug symbols for libjasper-runtime Build-Ids: 5037e5b7a27a6b049e1fe8c8836f795b0c68a5e2 6b6bab35f466951f266e505b423809d3c93f3da2 9e5742fabab9884ed10504645d7b3bd0ab5891d1 deaea07d9d70d5cb7b8e3701e873814a57c83713 Package: libjasper-runtime-dbgsym Architecture: amd64 Version: 2.0.16-0+Debian.stretch.9.9 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: jasper (2.0.16-0) Maintainer: Roland Stigge Installed-Size: 83 Depends: libjasper-runtime (= 2.0.16-0+Debian.stretch.9.9) Filename: pool-stretch/libjasper/libjasper-runtime-dbgsym_2.0.16-0+Debian.stretch.9.9_amd64.deb Size: 44246 MD5sum: fb3e197c17190ef07df31887b650afab SHA1: 73cdca8da9eb802932658b8909cf00dea4863a7c SHA256: 28235c086a35baf1aa620bcf1041f27cf0d0610ab460e7c3f63cf41360688a21 SHA512: 06b17389f51d1f915703f842f862aebd7d67803b64de4ca6a3b9e0acea6ad86e9c38ec329ec4e55fa50b8e971bd2e5663be24e63b232469d9c172704abaca9a6 Description: Debug symbols for libjasper-runtime Build-Ids: 5820e162ef585dd3f26d057582881eb2363d29db 6aaec8be365af4102d9ecbec9b120ac649f3cfe6 aa99affb5330eb9fc024dfd8e3ae594542b061f6 eb4a11ebe4c2240eeddaf3a6635734ed7822a9ae Package: libjasper-runtime Architecture: amd64 Version: 2.0.14-1+Debian.stretch.9.1 Priority: optional Section: graphics Source: jasper (2.0.14-1) Maintainer: Roland Stigge Installed-Size: 89 Depends: freeglut3, libc6 (>= 2.4), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libjasper4, libjpeg62-turbo (>= 1.3.1) Conflicts: libjasper-progs Replaces: libjasper-progs Filename: pool-stretch/libjasper/libjasper-runtime_2.0.14-1+Debian.stretch.9.1_amd64.deb Size: 26410 MD5sum: 1f0018a25ddcdb88b1ac25adb1d0c217 SHA1: 07481765571dd223cc9f0ce5bd86aa7b0e838883 SHA256: ea06d18dd84ef85cd7a596a394bf03d01575d86eee184b5370473724ff5b345d SHA512: 1d087cfacb01931a68c6ecdd9ad17ebe13c6cbddc44510472291c66438fe4b2bbec8c4b715b4fcc749ae69c09a3068db27a658ac36a8c408df19292f97845786 Description: Programs for manipulating JPEG-2000 files JasPer is a collection of software (i.e., a library and application programs) for the coding and manipulation of images. This software can handle image data in a variety of formats. One such format supported by JasPer is the JPEG-2000 format defined in ISO/IEC 15444-1:2000. . This package contains programs for manipulating JPEG-2000 files. Package: libjasper-runtime Architecture: amd64 Version: 2.0.16-0+Debian.stretch.9.9 Priority: optional Section: graphics Source: jasper (2.0.16-0) Maintainer: Roland Stigge Installed-Size: 89 Depends: freeglut3, libc6 (>= 2.4), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libjasper4, libjpeg62-turbo (>= 1.3.1) Conflicts: libjasper-progs Replaces: libjasper-progs Filename: pool-stretch/libjasper/libjasper-runtime_2.0.16-0+Debian.stretch.9.9_amd64.deb Size: 26454 MD5sum: eb8abcbde71b09d154a02ec38675f64b SHA1: 499c5e48c83970f7cd3c049f724c7a3a0179105a SHA256: 2066bcbea91db7d9072bd1d9c31d1738b3bd606b9f48ed9bfd6eaaeeee03e937 SHA512: b6be8d115f04e1722830ebdeb24996278f26a415a4521583343f44d0ef2ce6fb4207b51bd40b9845f04a969a4dd3e13f02f8d97893defb50cc8850945e37382d Description: Programs for manipulating JPEG-2000 files JasPer is a collection of software (i.e., a library and application programs) for the coding and manipulation of images. This software can handle image data in a variety of formats. One such format supported by JasPer is the JPEG-2000 format defined in ISO/IEC 15444-1:2000. . This package contains programs for manipulating JPEG-2000 files. Package: libjasper4-dbgsym Architecture: amd64 Version: 2.0.14-1+Debian.stretch.9.1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: extra Section: debug Source: jasper (2.0.14-1) Maintainer: Roland Stigge Installed-Size: 379 Depends: libjasper4 (= 2.0.14-1+Debian.stretch.9.1) Filename: pool-stretch/libjasper/libjasper4-dbgsym_2.0.14-1+Debian.stretch.9.1_amd64.deb Size: 341746 MD5sum: e96d5d7ad12fa40b4634c4fcbe158454 SHA1: 9cf612a5a997bc11faadfefb9a1d32189466842f SHA256: c9cc95647703507affa0a93bc96e29289414bbad5feaa1ab3cfb17d87eeb4168 SHA512: b987d8c0c5960f48cb4fdab6bec1500a41ed7647c65c4383fb12fe9e0b2c5e92ac5a9587a5e7e285040294f28ba6b68677bb9ebdd17e5b3bd971189ebb2e1ad0 Description: Debug symbols for libjasper4 Build-Ids: bb553c8f10cf75493a4b5c87de046e78535b9801 Package: libjasper4-dbgsym Architecture: amd64 Version: 2.0.16-0+Debian.stretch.9.9 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: extra Section: debug Source: jasper (2.0.16-0) Maintainer: Roland Stigge Installed-Size: 379 Depends: libjasper4 (= 2.0.16-0+Debian.stretch.9.9) Filename: pool-stretch/libjasper/libjasper4-dbgsym_2.0.16-0+Debian.stretch.9.9_amd64.deb Size: 341802 MD5sum: a5827845485887d6532ca4296b2e47f0 SHA1: aeab546dde160e903a3618ac6480b6e6b34678ed SHA256: 5ba5d12be04e1fa895136989b5efcad29afc84318e728c6df21966312eae9bd6 SHA512: 40efabf0e151f84f349b28c88de24e18618c54d49064fc290ba5409395ec337f71caf9c451fdf93911be640d155eb1c84c61942512dd19bd8ca547453037d91a Description: Debug symbols for libjasper4 Build-Ids: 7e1d85be19178eb8a9bd957f850ecfaaabb7e2ea Package: libjasper4 Architecture: amd64 Version: 2.0.14-1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libs Source: jasper (2.0.14-1) Maintainer: Roland Stigge Installed-Size: 360 Depends: libc6 (>= 2.14), libjpeg62-turbo (>= 1.3.1) Suggests: libjasper-runtime Conflicts: libjasper-1.700-2 Replaces: libjasper-1.700-2 Filename: pool-stretch/libjasper/libjasper4_2.0.14-1+Debian.stretch.9.1_amd64.deb Size: 140396 MD5sum: 9f795683ea7e3c98b41596798c3ac9af SHA1: 0353112d7d4ee1e9de369b76b755be6a94fdec7e SHA256: afd194405aaf4b12916631155ea3b7debddcce6b8bf6aca85aef5d5d1baf148f SHA512: c4e689ead172f28c481b28b6a93d788109b3d5d08e68b4fa6efb417f08d38f5db0160be860ef290907c72416c06ffde670fcdea430ac1c7879dfdb2fccfc96b8 Description: JasPer JPEG-2000 runtime library JasPer is a collection of software (i.e., a library and application programs) for the coding and manipulation of images. This software can handle image data in a variety of formats. One such format supported by JasPer is the JPEG-2000 format defined in ISO/IEC 15444-1:2000. . This package contains the shared library. Package: libjasper4 Architecture: amd64 Version: 2.0.16-0+Debian.stretch.9.9 Multi-Arch: same Priority: optional Section: libs Source: jasper (2.0.16-0) Maintainer: Roland Stigge Installed-Size: 360 Depends: libc6 (>= 2.14), libjpeg62-turbo (>= 1.3.1) Suggests: libjasper-runtime Conflicts: libjasper-1.700-2 Replaces: libjasper-1.700-2 Filename: pool-stretch/libjasper/libjasper4_2.0.16-0+Debian.stretch.9.9_amd64.deb Size: 140520 MD5sum: b17d27e6e6e940cf92ac6d848699085a SHA1: 914a56114da83b0d6cf0519242982743710aa52c SHA256: ae6ad3e258b01d613b13431780cf179aae4b027aa42bdd97b6a7a894a277b0f0 SHA512: 93fb53f23867f76c2aad7c75ccb1404cdfbd800cde9b70702eb68a2c2af387003d13b731c27c534fdabb02c073283ec2e0c6f217f76767711d8503a1131087a3 Description: JasPer JPEG-2000 runtime library JasPer is a collection of software (i.e., a library and application programs) for the coding and manipulation of images. This software can handle image data in a variety of formats. One such format supported by JasPer is the JPEG-2000 format defined in ISO/IEC 15444-1:2000. . This package contains the shared library. Package: libnvinfer-dev Architecture: amd64 Version: 4.0.4-1+cuda8.0 Priority: optional Section: multiverse/devel Source: tensorrt Maintainer: cudatools Installed-Size: 185189 Depends: libnvinfer4 (>= 4.0.4), libcudnn7-dev Breaks: libgie-dev (<< 4) Replaces: libgie-dev (<< 4) Filename: pool-stretch/libnvinfer/libnvinfer-dev_4.0.4-1+cuda8.0_amd64.deb Size: 22954964 MD5sum: b711ebea8010898d546f5a44b078a169 SHA1: 08922229f686c2e1cfd9d35c5736b2181200ed39 SHA256: 2687dc695007a7119ab74455ce7b88770b12077454854011b91757228b8b0913 SHA512: 4e1d53f8f9039cde7a786fcd0edba5375749d83bf8282936fb0360b91057ef1c92de930690aa8c59c6c1e9e58815b6eb3022fa0519422df719549fe1ae389e10 Description: TensorRT development libraries and headers TensorRT development libraries and headers. 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pool-stretch/lightgbm/liblightgbm-dbgsym_2.2.1+debian-1+Debian.stretch.9.5_amd64.deb Size: 7431926 MD5sum: ba2de3e1ed4d4ddcaa105dec66a03461 SHA1: 3c7d1d0b7d04b028d69efc937b12c842d91bd82e SHA256: 0fb19868938fb784f5d34046547169f76a37f5fd927ed7014bc78e12df567d1f SHA512: 8bd47850b7328cbd0b4ed24d97fd1f2cba71abf880d4433a627c3b501a0cd710fa9aaa5f946232bfc992bdfa193ee491fed82600ac53d1a49c289bc93565dc92 Homepage: https://github.com/Microsoft/LightGBM Description: Debug symbols for liblightgbm Build-Ids: 820cee7ea2144e2619dca020d3351df54954f42a Package: liblightgbm-dbgsym Architecture: amd64 Version: 2.2.3+debian-1+Debian.stretch.9.8 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: lightgbm (2.2.3+debian-1) Maintainer: Adam Cecile Installed-Size: 7967 Depends: liblightgbm (= 2.2.3+debian-1+Debian.stretch.9.8) Filename: pool-stretch/lightgbm/liblightgbm-dbgsym_2.2.3+debian-1+Debian.stretch.9.8_amd64.deb Size: 7733868 MD5sum: 6b6a6af5c0b34d0ba28634368a7eeeed SHA1: 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Package: liblightgbm Architecture: amd64 Version: 2.2.1+debian-1+Debian.stretch.9.5 Priority: optional Section: libs Source: lightgbm (2.2.1+debian-1) Maintainer: Adam Cecile Installed-Size: 2735 Depends: libboost-filesystem1.62.0, libboost-system1.62.0, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libopenmpi2, libstdc++6 (>= 6), ocl-icd-libopencl1 | libopencl1, ocl-icd-libopencl1 (>= 1.0) | libopencl-1.1-1, ocl-icd-libopencl1 (>= 1.0) | libopencl-1.2-1, ocl-icd-libopencl1 (>= 2.2.0) | libopencl-2.0-1 Filename: pool-stretch/lightgbm/liblightgbm_2.2.1+debian-1+Debian.stretch.9.5_amd64.deb Size: 796546 MD5sum: 1adfd1ebd5b5fe19da8bbbc808c207ae SHA1: 8839f425120074d7e9e199eb47664de55bc8b437 SHA256: 308a5c0ef889e2288c2665f0c256e8161502690bf0d093c54661c28851cdfba4 SHA512: 74f54b53c6bd39890c322ba398cf06d5bbe259eeb57bf810831c335d4bac16c3a6f52673fbd2876fda86474ad1c9aae6e4ebfc8e9e6116b8b959bdc024822d7b Homepage: https://github.com/Microsoft/LightGBM Description: High performance gradient boosting framework (library) LightGBM is a gradient boosting framework that uses tree based learning algorithms. . 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Package: liblightgbm Architecture: amd64 Version: 2.2.3+debian-1+Debian.stretch.9.8 Priority: optional Section: libs Source: lightgbm (2.2.3+debian-1) Maintainer: Adam Cecile Installed-Size: 2937 Depends: libboost-filesystem1.62.0, libboost-system1.62.0, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libopenmpi2, libstdc++6 (>= 6), ocl-icd-libopencl1 | libopencl1, ocl-icd-libopencl1 (>= 1.0) | libopencl-1.1-1, ocl-icd-libopencl1 (>= 1.0) | libopencl-1.2-1, ocl-icd-libopencl1 (>= 2.2.0) | libopencl-2.0-1 Filename: pool-stretch/lightgbm/liblightgbm_2.2.3+debian-1+Debian.stretch.9.8_amd64.deb Size: 843190 MD5sum: 7ebeaf37feb2969ca912278b1e131355 SHA1: 98b54bc6f3a98cbc776c45596e6acf5b7f72d46a SHA256: 815efbaa39e0dc12575c90adecc734d7ed9977e21f57b684f5bdd8672014319a SHA512: 5e40dfcf2a874b82acc4d6559392c5ea12528d83467b1284f8fababce65882b0d45ed99b191291873d12602a4697e742c5e50f135982b7fb7b0b6ce048926502 Homepage: https://github.com/Microsoft/LightGBM Description: High performance gradient boosting framework (library) LightGBM is a gradient boosting framework that uses tree based learning algorithms. . 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Package: liblightgbm Architecture: amd64 Version: 2.3.0+debian-1+Debian.stretch.9.11 Priority: optional Section: libs Source: lightgbm (2.3.0+debian-1) Maintainer: Adam Cecile Installed-Size: 3069 Depends: libboost-filesystem1.62.0, libboost-system1.62.0, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libopenmpi2, libstdc++6 (>= 6), ocl-icd-libopencl1 | libopencl1, ocl-icd-libopencl1 (>= 1.0) | libopencl-1.1-1, ocl-icd-libopencl1 (>= 1.0) | libopencl-1.2-1, ocl-icd-libopencl1 (>= 2.2.0) | libopencl-2.0-1 Filename: pool-stretch/lightgbm/liblightgbm_2.3.0+debian-1+Debian.stretch.9.11_amd64.deb Size: 892632 MD5sum: e8d34d2ac68d08f038d03d54f78bb31e SHA1: 5c4bf046fc00733e53b9163ccfdce860fa71eb8d SHA256: 81bde5f8411ad90fd1df6954f387d0b0b7656f4f74bf3fcd95bc975d2ea08bcf SHA512: 1be37b8c439bf6f1953db632041f1f2bf3b7ea19dcee8ba34325a14f51c65afae3a54bef3624a20d68ebb73443e73c5395680e767ddefa22dc81d20323d4eeba Homepage: https://github.com/Microsoft/LightGBM Description: High performance gradient boosting framework (library) LightGBM is a gradient boosting framework that uses tree based learning algorithms. . 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Package: lightgbm-dbgsym Architecture: amd64 Version: 2.0.7+debian-2+Debian.stretch.9.1 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: lightgbm (2.0.7+debian-2) Maintainer: Adam Cecile Installed-Size: 5716 Depends: lightgbm (= 2.0.7+debian-2+Debian.stretch.9.1) Filename: pool-stretch/lightgbm/lightgbm-dbgsym_2.0.7+debian-2+Debian.stretch.9.1_amd64.deb Size: 5557586 MD5sum: ad08f51806e36a319487a3048c583405 SHA1: fe0c50db95f548c40977fd19fffebbe2f7ea3fde SHA256: 70e7a5a47e7664a4e97ff7e88b7c01a40f043fadb7a77176b0425d07d0d080f7 SHA512: f7d2424a94ff7504c37954518e00d3042e4dcc52a7304144521fa8326146a0b408717c6a2f6d0896a582fc5d4c059c90ee5fe9b50cbae1fe91c4b9b238c316a7 Homepage: https://github.com/Microsoft/LightGBM Description: Debug symbols for lightgbm Build-Ids: aeb36e5228fa7da9b943e6a69925a287b60df7ac Package: lightgbm-dbgsym Architecture: amd64 Version: 2.0.8+debian-1+Debian.stretch.9.1 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: lightgbm (2.0.8+debian-1) Maintainer: Adam Cecile Installed-Size: 5775 Depends: lightgbm (= 2.0.8+debian-1+Debian.stretch.9.1) Filename: pool-stretch/lightgbm/lightgbm-dbgsym_2.0.8+debian-1+Debian.stretch.9.1_amd64.deb Size: 5615760 MD5sum: 943bee441fdd23059f98cb3b0c3167a6 SHA1: 3de8a973352c8df95d938320d9336ba76ab8f6df SHA256: bb4d434599094f73a75a8aaf31b1b281933f33e8509f8871cbe22f84578c83f2 SHA512: 539f838180c22e428a1f91788709fc61e6144d5f425d2e8be02463bba14ba026b5d31d8108133a5074075ab5d232b108fba920982c8e334a2fffeb2e4e77512c Homepage: https://github.com/Microsoft/LightGBM Description: Debug symbols for lightgbm Build-Ids: b8c46aa5706a746abb1a2149969a1b5aef6b213e Package: lightgbm-dbgsym Architecture: amd64 Version: 2.2.1+debian-1+Debian.stretch.9.5 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: lightgbm (2.2.1+debian-1) Maintainer: Adam Cecile Installed-Size: 7059 Depends: lightgbm (= 2.2.1+debian-1+Debian.stretch.9.5) Filename: pool-stretch/lightgbm/lightgbm-dbgsym_2.2.1+debian-1+Debian.stretch.9.5_amd64.deb Size: 6867084 MD5sum: 0666e55dd17b7e21fab4aeb416bc8348 SHA1: 7f41d37622ed820ac7791834f228f201658c7548 SHA256: 063259baa636bb218bfb879ef18b0a816c810236a6369be626c97a5ba9b7b71c SHA512: 89f80596de9ed9c72dfa28008703404e2b1fd815ad3b0ff12193e6546a9c2f43bdb8f48dd6850d1ba2d607b4c533d9429757d02bf86874b643fddafdcb270eaa Homepage: https://github.com/Microsoft/LightGBM Description: Debug symbols for lightgbm Build-Ids: aec7e99dd0a690f53cf32ea2f915ebbf4f6423df Package: lightgbm-dbgsym Architecture: amd64 Version: 2.2.3+debian-1+Debian.stretch.9.8 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: lightgbm (2.2.3+debian-1) Maintainer: Adam Cecile Installed-Size: 7399 Depends: lightgbm (= 2.2.3+debian-1+Debian.stretch.9.8) Filename: pool-stretch/lightgbm/lightgbm-dbgsym_2.2.3+debian-1+Debian.stretch.9.8_amd64.deb Size: 7172836 MD5sum: f14ea5a1d3597f63b1a76bd659f7e259 SHA1: 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Package: lightgbm Architecture: amd64 Version: 2.2.3+debian-1+Debian.stretch.9.8 Priority: optional Section: admin Source: lightgbm (2.2.3+debian-1) Maintainer: Adam Cecile Installed-Size: 2720 Depends: libboost-filesystem1.62.0, libboost-system1.62.0, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libopenmpi2, libstdc++6 (>= 6), ocl-icd-libopencl1 | libopencl1, ocl-icd-libopencl1 (>= 1.0) | libopencl-1.1-1, ocl-icd-libopencl1 (>= 1.0) | libopencl-1.2-1, ocl-icd-libopencl1 (>= 2.2.0) | libopencl-2.0-1, liblightgbm (= 2.2.3+debian-1+Debian.stretch.9.8) Filename: pool-stretch/lightgbm/lightgbm_2.2.3+debian-1+Debian.stretch.9.8_amd64.deb Size: 792402 MD5sum: cf75243575ba751498567a7f5267ab75 SHA1: 9c183b475790b7325a53e17ded92b2d9bbae6d37 SHA256: 13bbc69f88929f1c89ce105d093b3012cea0588c07e74b2f27eef5328fad06f7 SHA512: d4e9a6b2f6cfd5905b39c22222109eba26cbf8537504d554febef1da1f6ecf8b5b2c24dbeba8a5452b9c11ca7b4b2a38a16fc71bfec4ceae52456f1f14662798 Homepage: https://github.com/Microsoft/LightGBM Description: High performance gradient boosting framework (command line) LightGBM is a gradient boosting framework that uses tree based learning algorithms. . 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Package: lightgbm Architecture: amd64 Version: 2.3.0+debian-1+Debian.stretch.9.11 Priority: optional Section: admin Source: lightgbm (2.3.0+debian-1) Maintainer: Adam Cecile Installed-Size: 2836 Depends: libboost-filesystem1.62.0, libboost-system1.62.0, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libopenmpi2, libstdc++6 (>= 6), ocl-icd-libopencl1 | libopencl1, ocl-icd-libopencl1 (>= 1.0) | libopencl-1.1-1, ocl-icd-libopencl1 (>= 1.0) | libopencl-1.2-1, ocl-icd-libopencl1 (>= 2.2.0) | libopencl-2.0-1, liblightgbm (= 2.3.0+debian-1+Debian.stretch.9.11) Filename: pool-stretch/lightgbm/lightgbm_2.3.0+debian-1+Debian.stretch.9.11_amd64.deb Size: 838594 MD5sum: 6db4d8d3c3cd168ca4fcbb4350f7ce96 SHA1: ba6e841bbb98f469060eeaf123ee28e9c21b7c63 SHA256: 8aa67a95a41b2be93f5136f211ed23b2f3e389ccb288ff06576731d26d2c6ee3 SHA512: e1f4f3b2b4edb0f62022224baa6f210bc27900657dbfe90574764f48894928cd70f42aca09b054d9853749469072657c9c6a326efc8446a6aae3f7ed5c24f83d Homepage: https://github.com/Microsoft/LightGBM Description: High performance gradient boosting framework (command line) LightGBM is a gradient boosting framework that uses tree based learning algorithms. . 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Package: python-lightgbm Architecture: all Version: 2.0.7+debian-2+Debian.stretch.9.1 Priority: optional Section: python Source: lightgbm (2.0.7+debian-2) Maintainer: Adam Cecile Installed-Size: 188 Depends: python-numpy, python-scipy, python-sklearn, python:any (<< 2.8), python:any (>= 2.7.5-5~), liblightgbm (>= 2.0.7+debian-2), liblightgbm (<< 2.0.7+debian-2.1~) Filename: pool-stretch/lightgbm/python-lightgbm_2.0.7+debian-2+Debian.stretch.9.1_all.deb Size: 32574 MD5sum: a015829d9208a34e5964afd867cec175 SHA1: 159b70d551d35c30feaa04995a1ffbdcfd19f84b SHA256: 11ec00adf729873f2a191a0f974f7a2f51b170af2a8c14887cc07a9222d0ca05 SHA512: e3e555bc8339f3153761e4bd0540dba377a4cedabebaf2f57d4385a64696aa598959e76b39e7bf58868b1b5a9b9a1cf573f6693d19b2ac18fc2af69df391fefe Homepage: https://github.com/Microsoft/LightGBM Description: High performance gradient boosting framework (Python2) LightGBM is a gradient boosting framework that uses tree based learning algorithms. . 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Package: python-lightgbm Architecture: all Version: 2.0.8+debian-1+Debian.stretch.9.1 Priority: optional Section: python Source: lightgbm (2.0.8+debian-1) Maintainer: Adam Cecile Installed-Size: 188 Depends: python-numpy, python-scipy, python-sklearn, python:any (<< 2.8), python:any (>= 2.7.5-5~), liblightgbm (>= 2.0.8+debian-1), liblightgbm (<< 2.0.8+debian-1.1~) Filename: pool-stretch/lightgbm/python-lightgbm_2.0.8+debian-1+Debian.stretch.9.1_all.deb Size: 32576 MD5sum: 19795ca2d101bcfbb0bee1398084a294 SHA1: 2510fb82392a49292b50327d270d60dadfcccb30 SHA256: 9ce9714454bb83d53b9a767e1699c2342ac0dd9bf6068085e5795f664e3f8b46 SHA512: 732f1210eeae40a4273dcc461e1138cb458ef735777250c2a235aa88188fa6c6fabf1728b05b34a6017ff0967bc3ec7a7e4800c833dcbbd4387f3482af81fbb2 Homepage: https://github.com/Microsoft/LightGBM Description: High performance gradient boosting framework (Python2) LightGBM is a gradient boosting framework that uses tree based learning algorithms. . 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Package: python-lightgbm Architecture: all Version: 2.2.3+debian-1+Debian.stretch.9.8 Priority: optional Section: python Source: lightgbm (2.2.3+debian-1) Maintainer: Adam Cecile Installed-Size: 232 Depends: python-numpy, python-scipy, python-sklearn, python:any (<< 2.8), python:any (>= 2.7.5-5~), liblightgbm (>= 2.2.3+debian-1), liblightgbm (<< 2.2.3+debian-1.1~) Filename: pool-stretch/lightgbm/python-lightgbm_2.2.3+debian-1+Debian.stretch.9.8_all.deb Size: 39182 MD5sum: 140e0473eea6d35f4e1b51b8b7b2fe6c SHA1: 45a602f3926701c2eed7d072159637de5d5dcc01 SHA256: 6c06b3a54881f0261e8ab98cc54d27d00f61da676a2935716410df94580763f2 SHA512: ca89df8ac40245e1fd25239e290412d0cba34b38da7306e092aae359190d3978442078993d68a3d9fbd53561a70dd51b5f57ae8456dba4e3b902c58e8dab8b38 Homepage: https://github.com/Microsoft/LightGBM Description: High performance gradient boosting framework (Python2) LightGBM is a gradient boosting framework that uses tree based learning algorithms. . 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Package: python-lightgbm Architecture: all Version: 2.3.0+debian-1+Debian.stretch.9.11 Priority: optional Section: python Source: lightgbm (2.3.0+debian-1) Maintainer: Adam Cecile Installed-Size: 258 Depends: python-numpy, python-scipy, python-sklearn, python:any (<< 2.8), python:any (>= 2.7.5-5~), liblightgbm (>= 2.3.0+debian-1), liblightgbm (<< 2.3.0+debian-1.1~) Filename: pool-stretch/lightgbm/python-lightgbm_2.3.0+debian-1+Debian.stretch.9.11_all.deb Size: 42942 MD5sum: a2f7f541bd90ec96868b659c77fa6373 SHA1: 76ef076c3f86c68765e470845c9c0193afdb6280 SHA256: 607cd686a1eb7db9e3f570e37a3741406b6a20227e7ce56c21ee9400771df054 SHA512: b964a6a9f7db5891437ed606098462b3870052ca1371ae634e7aa459c309abeaaab68bed6a5ce064b82bb863590b887e90ec56eb68bf51e73128f137b4fae1de Homepage: https://github.com/Microsoft/LightGBM Description: High performance gradient boosting framework (Python2) LightGBM is a gradient boosting framework that uses tree based learning algorithms. . 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Package: python3-lightgbm Architecture: all Version: 2.0.7+debian-2+Debian.stretch.9.1 Priority: optional Section: python Source: lightgbm (2.0.7+debian-2) Maintainer: Adam Cecile Installed-Size: 188 Depends: python3-numpy, python3-scipy, python3-sklearn, python3:any (>= 3.4~), liblightgbm (>= 2.0.7+debian-2), liblightgbm (<< 2.0.7+debian-2.1~) Filename: pool-stretch/lightgbm/python3-lightgbm_2.0.7+debian-2+Debian.stretch.9.1_all.deb Size: 32658 MD5sum: 3667fe58e791a717030f715b0bb52732 SHA1: 7dedbb10422da27cd3a304ae5e20a7288115d963 SHA256: d7ef12cf7e776d899e815eed4ddda57367dc1ddda76a07da94047ef72314690a SHA512: b8504fcefb06898daf1ae135ac9bf455fb80b10914db2e01cfde5a145cc8a772c63e128f8c41ba8c37111e8d5217412d773d3d0bc59b5e77f77f61c547a7d432 Homepage: https://github.com/Microsoft/LightGBM Description: High performance gradient boosting framework (Python3) LightGBM is a gradient boosting framework that uses tree based learning algorithms. . 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Package: python3-lightgbm Architecture: all Version: 2.0.8+debian-1+Debian.stretch.9.1 Priority: optional Section: python Source: lightgbm (2.0.8+debian-1) Maintainer: Adam Cecile Installed-Size: 188 Depends: python3-numpy, python3-scipy, python3-sklearn, python3:any (>= 3.4~), liblightgbm (>= 2.0.8+debian-1), liblightgbm (<< 2.0.8+debian-1.1~) Filename: pool-stretch/lightgbm/python3-lightgbm_2.0.8+debian-1+Debian.stretch.9.1_all.deb Size: 32638 MD5sum: 186f7739b5a15d1d2005610639d88f93 SHA1: f55a52edba8f538ee7628b1629c71d44c9a530c6 SHA256: dbea1042795ed1400be3cd40d3a2813a7bd69d336ce295c4a1cae0e316eeeed4 SHA512: f43a48b045a2901810534c54c6bd206c055eebf25f9eb060ecc865c392bfd591d9bdf2485d955b8419c9911b137b28531e313d6c7a8e8ebf0e2e17b126e750d2 Homepage: https://github.com/Microsoft/LightGBM Description: High performance gradient boosting framework (Python3) LightGBM is a gradient boosting framework that uses tree based learning algorithms. . 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Package: python3-lightgbm Architecture: all Version: 2.2.1+debian-1+Debian.stretch.9.5 Priority: optional Section: python Source: lightgbm (2.2.1+debian-1) Maintainer: Adam Cecile Installed-Size: 222 Depends: python3-numpy, python3-scipy, python3-sklearn, python3:any (>= 3.4~), liblightgbm (>= 2.2.1+debian-1), liblightgbm (<< 2.2.1+debian-1.1~) Filename: pool-stretch/lightgbm/python3-lightgbm_2.2.1+debian-1+Debian.stretch.9.5_all.deb Size: 38150 MD5sum: cb4f51aad38baef66a7cfeeec601d62e SHA1: 9b36cee20f54b5eeac5779f379b4a3a0baab8a5b SHA256: 9e75467581d33e8055bce50317c9e7115a6c4dd61c2ea1afdfc4006dd4e1487b SHA512: 7d81acfbbd01a01362a774d757d6552f62b5d943a528bebb5a0b750bfbb62f7c57b57a03293c90a6f8ade648892897122430ce717544475b959ecebab900c2e7 Homepage: https://github.com/Microsoft/LightGBM Description: High performance gradient boosting framework (Python3) LightGBM is a gradient boosting framework that uses tree based learning algorithms. . 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Package: python3-lightgbm Architecture: all Version: 2.2.3+debian-1+Debian.stretch.9.8 Priority: optional Section: python Source: lightgbm (2.2.3+debian-1) Maintainer: Adam Cecile Installed-Size: 232 Depends: python3-numpy, python3-scipy, python3-sklearn, python3:any (>= 3.4~), liblightgbm (>= 2.2.3+debian-1), liblightgbm (<< 2.2.3+debian-1.1~) Filename: pool-stretch/lightgbm/python3-lightgbm_2.2.3+debian-1+Debian.stretch.9.8_all.deb Size: 39232 MD5sum: 109c025ebd010dca252b0ecd36b53480 SHA1: 4bfc3fd5f417ce49596de777b5a33b37ede7658b SHA256: eda9404b446281e7658199f62768e5ee8228b48f2bb8c30797349a38575f3308 SHA512: addc7dc62382555338445132fc52309e6eb6b351e76b465898795110ee55103084fdc3acfcf8de31ffc450bddc43af4292f3c3d3a761b6c3768c9715e1798d75 Homepage: https://github.com/Microsoft/LightGBM Description: High performance gradient boosting framework (Python3) LightGBM is a gradient boosting framework that uses tree based learning algorithms. . 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Package: python3-lightgbm Architecture: all Version: 2.3.0+debian-1+Debian.stretch.9.11 Priority: optional Section: python Source: lightgbm (2.3.0+debian-1) Maintainer: Adam Cecile Installed-Size: 258 Depends: python3-numpy, python3-scipy, python3-sklearn, python3:any (>= 3.4~), liblightgbm (>= 2.3.0+debian-1), liblightgbm (<< 2.3.0+debian-1.1~) Filename: pool-stretch/lightgbm/python3-lightgbm_2.3.0+debian-1+Debian.stretch.9.11_all.deb Size: 43028 MD5sum: a4efc7bd8e5517d8822520caaf669f92 SHA1: b7c83139ee52c7e89cfad5a1ee505fe9d1766af7 SHA256: e25bec1e211929d15ffbeebc53e53e121d308e4606a8b10376cca5f99b570703 SHA512: 4c5787cd675b6d5da164613ba513c73a2c484648d6c9c73598f6e4604f83f703c50ee1eb9c0ccf69e54a114d6a25ea14eef36deb6bf3e1becf827726303e1941 Homepage: https://github.com/Microsoft/LightGBM Description: High performance gradient boosting framework (Python3) LightGBM is a gradient boosting framework that uses tree based learning algorithms. . 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Package: r-lightgbm-dbgsym Architecture: amd64 Version: 2.0.7+debian-2+Debian.stretch.9.1 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: lightgbm (2.0.7+debian-2) Maintainer: Adam Cecile Installed-Size: 5096 Depends: r-lightgbm (= 2.0.7+debian-2+Debian.stretch.9.1) Filename: pool-stretch/lightgbm/r-lightgbm-dbgsym_2.0.7+debian-2+Debian.stretch.9.1_amd64.deb Size: 5000732 MD5sum: 2fe785c12f71c86db67c138ae010fdaa SHA1: 582665c85df6f43974b2aefde38095d668eec37b SHA256: 5be94807778fdaa8525b6c15d13df630071073f7cbeb8054425bd001425599b2 SHA512: 7e242923d4d9b98afee84b83f8b824fc32f8ea39996955be9f57c4e6613274197f702cbf8e822e5ac72b89a029df7b548b1c52bfe4baeff4c8954fa2b100965e Homepage: https://github.com/Microsoft/LightGBM Description: Debug symbols for r-lightgbm Build-Ids: 67445bf14e7f1e339ed32e9ac043c5aec9f874f6 Package: r-lightgbm-dbgsym Architecture: amd64 Version: 2.0.8+debian-1+Debian.stretch.9.1 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: lightgbm (2.0.8+debian-1) Maintainer: Adam Cecile Installed-Size: 5194 Depends: r-lightgbm (= 2.0.8+debian-1+Debian.stretch.9.1) Filename: pool-stretch/lightgbm/r-lightgbm-dbgsym_2.0.8+debian-1+Debian.stretch.9.1_amd64.deb Size: 5099014 MD5sum: 31a3537c191715bf8c8e604c63272c8c SHA1: 5c77e5dc717df3ef8293e9956a290fc6208067ee SHA256: 3a7b5c566a758762fd41b284ca65b808ebd664c4f1741b2e3a39f4cccf965cca SHA512: e4b9ef6a8d0b34b723f542d4d9a07fcdbe92536cf537732e43a9a10abd3b138da375b5455a7a82e9f4b7add20dbfc1b0939fbef40716a369dfa3f98a4395bba6 Homepage: https://github.com/Microsoft/LightGBM Description: Debug symbols for r-lightgbm Build-Ids: af78b0af64ddbf884950c48bea7596a058000321 Package: r-lightgbm Architecture: amd64 Version: 2.0.7+debian-2+Debian.stretch.9.1 Priority: optional Section: gnu-r Source: lightgbm (2.0.7+debian-2) Maintainer: Adam Cecile Installed-Size: 1665 Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libstdc++6 (>= 6), r-base-core (>= 3.3.3-1), r-api-3, r-cran-r6 (>= 2.0), r-cran-matrix (>= 1.1-0), r-cran-data.table (>= 1.9.6), r-cran-magrittr (>= 1.5), r-cran-jsonlite (>= 1.0) Filename: pool-stretch/lightgbm/r-lightgbm_2.0.7+debian-2+Debian.stretch.9.1_amd64.deb Size: 663448 MD5sum: d43189985d2b919848b9343ecb3b5bbc SHA1: dce1c6cf42e264a4cfd5d08fe8ca2ff71442caa5 SHA256: 4ad644e821118d7bf6f1d3fd8c1fa556a9864debddd537b4632c678d6c2915cd SHA512: 5c2c00e71a043128f33974a84257986428e0d62a6fe3aebb8354f1aed4d777c956f7da17411a078ff637cd1fb3e09f0e73cd2fbbcc355ec6382fe0d688458974 Homepage: https://github.com/Microsoft/LightGBM Description: High performance gradient boosting framework (R module) LightGBM is a gradient boosting framework that uses tree based learning algorithms. . 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Package: r-lightgbm Architecture: amd64 Version: 2.0.8+debian-1+Debian.stretch.9.1 Priority: optional Section: gnu-r Source: lightgbm (2.0.8+debian-1) Maintainer: Adam Cecile Installed-Size: 1687 Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libstdc++6 (>= 6), r-base-core (>= 3.3.3-1), r-api-3, r-cran-r6 (>= 2.0), r-cran-matrix (>= 1.1-0), r-cran-data.table (>= 1.9.6), r-cran-magrittr (>= 1.5), r-cran-jsonlite (>= 1.0) Filename: pool-stretch/lightgbm/r-lightgbm_2.0.8+debian-1+Debian.stretch.9.1_amd64.deb Size: 670752 MD5sum: 2bb50a6739333423348934a95d41844b SHA1: 36c8999c3fc120f11e3198aef66360b72c8444ab SHA256: 20229ab03ad6a77faadfa7de5e95db6fe93f7e570af52f78b6bafb4aa4f23e4b SHA512: d3a49b93958377587cf95a563807ad73c8ec560e3bc81723c3396045bbfa6e3d622dd000aab427e64607cd289e52cd975621242da3f361fbb2448c36382627f6 Homepage: https://github.com/Microsoft/LightGBM Description: High performance gradient boosting framework (R module) LightGBM is a gradient boosting framework that uses tree based learning algorithms. . It is designed to be distributed and efficient with the following advantages: . * Faster training speed and higher efficiency * Lower memory usage * Better accuracy * Parallel and GPU learning supported * Capable of handling large-scale data . This package contains GNU R module. Package: clang-6.0-dbgsym Architecture: amd64 Version: 1:6.0.1-11~bpo9+0 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 10307 Depends: clang-6.0 (= 1:6.0.1-11~bpo9+0) Filename: pool-stretch/llvm-6.0.1/clang-6.0-dbgsym_6.0.1-11~bpo9+0_amd64.deb Size: 3321638 MD5sum: 3522d367e5a1b941c0709aa95723ad8f SHA1: ff2d17b77ce64d80b6ef9a24a4649da1f68df9b6 SHA256: 1b720b15e6a355f6712edcde960a97c3f68d95ebc4944741dc10bd7846c923d8 SHA512: 8a9a6a64fbfd75e038c30a2df009ea6d9e81d96f514fa6428f94e83bee403ecba2c9d89a11317664dad17e254f014320764c034ab43fe03e021f49596053877c Homepage: https://www.llvm.org/ Description: Debug symbols for clang-6.0 Build-Ids: 48954918aaab3e0d9118d063459a825e4d17465d Package: clang-6.0-doc Architecture: all Version: 1:6.0.1-11~bpo9+0 Priority: optional Section: doc Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 7407 Depends: libjs-mathjax Filename: pool-stretch/llvm-6.0.1/clang-6.0-doc_6.0.1-11~bpo9+0_all.deb Size: 927404 MD5sum: 815cc885309f64a8f56e186b1608052d SHA1: dae2ae1a8d913c6165390c5d4dcaa45b0fbf5d95 SHA256: 9e693fb7409637865a234f5b5d5e329975e81f073f5fe6fbbb834a928d3ce80f SHA512: 5374bf39b8b1610f70515f8503e71d0d70d0041ba0f94593bca0baa89d58a14370f87c73e3674d6ec6aa9656917cd9a6060559efa659ce00af0c5b336b5ead16 Homepage: https://www.llvm.org/ Description: C, C++ and Objective-C compiler - Documentation Clang project is a C, C++, Objective C and Objective C++ front-end based on the LLVM compiler. Its goal is to offer a replacement to the GNU Compiler Collection (GCC). . Clang implements all of the ISO C++ 1998, 11 and 14 standards and also provides most of the support of C++17. . This package contains the documentation. Package: clang-6.0-examples Architecture: amd64 Version: 1:6.0.1-11~bpo9+0 Priority: optional Section: doc Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 70 Filename: pool-stretch/llvm-6.0.1/clang-6.0-examples_6.0.1-11~bpo9+0_amd64.deb Size: 35892 MD5sum: 6f3eae004f91497158e3fc759e2ce7f7 SHA1: 380f9b77585cb9547c1fe2299e9bc559c83c1be6 SHA256: 16d1e074fa3c5a433bc1a95ee44548b92ef24b34632551589849d2d19b4f47da SHA512: 4f8bf81ef7bcd26bc45e566e7a61bda62e6dd5f942b52bf7143fb79a48f6ca12c5f1f060d35cd051aa10b2c02c896d68e6de0b71ab0dd3790215a8574d5a1b18 Homepage: https://www.llvm.org/ Description: Clang examples Clang project is a C, C++, Objective C and Objective C++ front-end based on the LLVM compiler. Its goal is to offer a replacement to the GNU Compiler Collection (GCC). . Clang implements all of the ISO C++ 1998, 11 and 14 standards and also provides most of the support of C++17. . This package contains the clang examples. Package: clang-6.0 Architecture: amd64 Version: 1:6.0.1-11~bpo9+0 Priority: optional Section: devel Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 33714 Provides: c++-compiler, c-compiler, objc-compiler Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.4), libjsoncpp1 (>= 1.7.4), libllvm6.0 (>= 1:6.0~svn298832-1~), libstdc++6 (>= 5.2), libstdc++-6-dev, libgcc-6-dev, libobjc-6-dev, libclang-common-6.0-dev (= 1:6.0.1-11~bpo9+0), libclang1-6.0 (= 1:6.0.1-11~bpo9+0), libc6-dev, binutils Recommends: llvm-6.0-dev, python, libomp-dev Suggests: gnustep, gnustep-devel, clang-6.0-doc Filename: pool-stretch/llvm-6.0.1/clang-6.0_6.0.1-11~bpo9+0_amd64.deb Size: 9060926 MD5sum: 6c940a91082aea7b7525d78ca6e67349 SHA1: 3e80d14c1cb99cbafd3cd96aa2e3d4315f1da485 SHA256: 817c1ec89f443807b578991d8e7d3d27791b583979c4314b1b869daa76347206 SHA512: a45e9321f4ff8781362de8b7463300b6534741759c534dfc0ed9c21ae942a15e7cc4902e61374d2181633e35125a4ef3bbb0e07074f930147215430a299dcfbc Homepage: https://www.llvm.org/ Description: C, C++ and Objective-C compiler Clang project is a C, C++, Objective C and Objective C++ front-end based on the LLVM compiler. Its goal is to offer a replacement to the GNU Compiler Collection (GCC). . Clang implements all of the ISO C++ 1998, 11 and 14 standards and also provides most of the support of C++17. Package: clang-format-6.0-dbgsym Architecture: amd64 Version: 1:6.0.1-11~bpo9+0 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 215 Depends: clang-format-6.0 (= 1:6.0.1-11~bpo9+0) Filename: pool-stretch/llvm-6.0.1/clang-format-6.0-dbgsym_6.0.1-11~bpo9+0_amd64.deb Size: 36992 MD5sum: 9cfeadbb1c9300de196b32d31c53c2ad SHA1: de3ed01ba3e58184d5978d181c2494eba9f77e52 SHA256: d8c0d6bbf08724ece66bf96a55a7f982010425b24bc441fc7ad7ed2aeaf75c0f SHA512: 66c916bf1c7b875ec0071c6ff6bd5716a0a280a366a4402a433c89e55a6d626473822a7bc98e3e580ce1f300d4f56e223928c8328d7a576387dae8d2350d90e2 Homepage: https://www.llvm.org/ Description: Debug symbols for clang-format-6.0 Build-Ids: 6aecce3c10c65998f82c6c613c535c128be10835 Package: clang-format-6.0 Architecture: amd64 Version: 1:6.0.1-11~bpo9+0 Priority: optional Section: devel Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 1876 Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libllvm6.0 (= 1:6.0.1-11~bpo9+0), libstdc++6 (>= 5.2), python Filename: pool-stretch/llvm-6.0.1/clang-format-6.0_6.0.1-11~bpo9+0_amd64.deb Size: 599890 MD5sum: f83c54a4a4cb94c8e50b2f0168b66f2f SHA1: d70e657eae36ad7bcb3f2b151ab4018e681555c9 SHA256: 3eef31dfff4354d7a79ab815eae6ebdea543a937bafb196a5b32f848159d172a SHA512: 9a4733ec90ac2640d4f858f49e136185593d790d7954eac51de641d0736cc97ccd4a149bba79366b2d05bb4d908d4d8acd6902ee036646a1653298add1666346 Homepage: https://www.llvm.org/ Description: Tool to format C/C++/Obj-C code Clang-format is both a library and a stand-alone tool with the goal of automatically reformatting C++ sources files according to configurable style guides. To do so, clang-format uses Clang's Lexer to transform an input file into a token stream and then changes all the whitespace around those tokens. The goal is for clang-format to both serve both as a user tool (ideally with powerful IDE integrations) and part of other refactoring tools, e.g. to do a reformatting of all the lines changed during a renaming. . This package also provides vim and emacs plugins. Package: clang-tidy-6.0-dbgsym Architecture: amd64 Version: 1:6.0.1-11~bpo9+0 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 6358 Depends: clang-tidy-6.0 (= 1:6.0.1-11~bpo9+0) Filename: pool-stretch/llvm-6.0.1/clang-tidy-6.0-dbgsym_6.0.1-11~bpo9+0_amd64.deb Size: 593294 MD5sum: ae23420eebc478866b028304036d445b SHA1: 4b150b2f43e1ab9c5c5043ce5c3fce8bf2cc8506 SHA256: d3014af1933ae8d7045a8e075b89492f5fa960d55b631c7a84371a995e62985b SHA512: 0b7d70c26b63a2ed804818d9c95122bdcf3f0f81ad0f0b213c1106221abdfd4163babe2617ea4733a4387929ed568111fe7b2f014726d39db9ae6a1425d11a48 Homepage: https://www.llvm.org/ Description: Debug symbols for clang-tidy-6.0 Build-Ids: 6c991439aefdd0d144204bcae18efdf051a7275b Package: clang-tidy-6.0 Architecture: amd64 Version: 1:6.0.1-11~bpo9+0 Priority: optional Section: devel Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 25902 Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.4), libllvm6.0 (= 1:6.0.1-11~bpo9+0), libstdc++6 (>= 5.2), python, libclang-common-6.0-dev, clang-tools-6.0, python-yaml Breaks: clang-6.0 (<< 1:6.0~svn250696-1), clang-modernize-6.0 Replaces: clang-6.0 (<< 1:6.0~svn250696-1), clang-modernize-6.0 Filename: pool-stretch/llvm-6.0.1/clang-tidy-6.0_6.0.1-11~bpo9+0_amd64.deb Size: 6813144 MD5sum: ae2cb469ee9a6085845037192940ace0 SHA1: 45958426df0b875d42d155d96c429ae701ad54e0 SHA256: 74e2a49f61d05f3a77193506ec521bb8981da815b96a2618033cba949bc925fe SHA512: 7a78635ad83552f0968582fe8836ea66ae91f48d5c62bd7c43543d38e60b259ddc407dcc95161bd3574af2fee1007c4631ceefca78d022c3c6b8e54a4c9ca573 Homepage: https://www.llvm.org/ Description: clang-based C++ linter tool Provide an extensible framework for diagnosing and fixing typical programming errors, like style violations, interface misuse, or bugs that can be deduced via static analysis. clang-tidy is modular and provides a convenient interface for writing new checks. Package: clang-tools-6.0-dbgsym Architecture: amd64 Version: 1:6.0.1-11~bpo9+0 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 47693 Depends: clang-tools-6.0 (= 1:6.0.1-11~bpo9+0) Filename: pool-stretch/llvm-6.0.1/clang-tools-6.0-dbgsym_6.0.1-11~bpo9+0_amd64.deb Size: 5107438 MD5sum: acb42db2458bc3c1d880d214608c1e3d SHA1: d17bc594bba0207b0066b85818eebab3c285da9b SHA256: 162867d6d08f30d77860e0ed19b85dcfaaa740addba0bd125401fcf019ecb82b SHA512: 4b3d741b9a9bfe0e109fe5029559760c474fe3c8a5a53165ee5f81313873955b62e4affbbf5049f43b29c09c5950b40e84862a1c17d98b00e01e131cba4f772b Homepage: https://www.llvm.org/ Description: Debug symbols for clang-tools-6.0 Build-Ids: 02caea051fb32dea549284984b8b18d645e566ae 12431b579cf4d6aee4fa29fc0d231c020cb4a50d 2abf5757a8890ee6e8498fc81201e6df580e6508 2c88c42cc7aabeb3704e65324d50d5e28cf39c2c 3d952ba7287688130aacd116033efee16d299f39 4a269a6b6076ba02a823ab41211866732c790093 519ff455eb08cf5f05251615e46da2dabb6f5072 68cbcac667641558159754b8e20aabe0b1b3a640 705aac5e8842de75049cb5964ffbc2c29335288e 960cb663816dbbbef0196c725eff8269d3823550 afb7c58310889c928180ef50757cda0053af4a26 bac62224618dfd997ec23fc845b5a0b1cfafd7d7 dac0102a0a5b61d1040140b59fa603ed874edd80 dee7580894a7e630611f6060b7c75da49918bf5b e5ad7a99ad13ec0576aebd88093fa86648e9c28b e7311421485615c80e68a1ace8a25cb9686868f5 Package: clang-tools-6.0 Architecture: amd64 Version: 1:6.0.1-11~bpo9+0 Priority: optional Section: devel Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 234327 Depends: libc6 (>= 2.14), libclang1-6.0 (>= 1:6.0~svn320926-1~), libgcc1 (>= 1:3.4), libllvm6.0 (>= 1:6.0~svn298832-1~), libstdc++6 (>= 6), clang-6.0 (= 1:6.0.1-11~bpo9+0) Filename: pool-stretch/llvm-6.0.1/clang-tools-6.0_6.0.1-11~bpo9+0_amd64.deb Size: 64161704 MD5sum: b515828f1e2b676438992965f364f721 SHA1: 6c1f1282a655b6d1c0e84440641cce93e3a3564d SHA256: 3154b46a810287503bffdb9854f2728caf9bfcea7db1e077edd9e43fe8f844b0 SHA512: cb937c09140784a04af518a4fa253664416f8272a5d1ff252b8116c4380b00c9f5625254361be1db860020dc395f9faec76e592c3ac9a68e668b73c1ae0124ea Homepage: https://www.llvm.org/ Description: clang-based tools for C/C++ developments Clang project is a C, C++, Objective C and Objective C++ front-end based on the LLVM compiler. Its goal is to offer a replacement to the GNU Compiler Collection (GCC). . Clang implements all of the ISO C++ 1998, 11 and 14 standards and also provides most of the support of C++17. . This package contains some clang-based tools like scan-build, clangd, clang-cl, etc. Package: libclang-6.0-dev Architecture: amd64 Version: 1:6.0.1-11~bpo9+0 Priority: optional Section: libdevel Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 291527 Depends: libstdc++-6-dev, libgcc-6-dev, libobjc-6-dev, libclang1-6.0 (= 1:6.0.1-11~bpo9+0), libclang-common-6.0-dev (= 1:6.0.1-11~bpo9+0) Filename: pool-stretch/llvm-6.0.1/libclang-6.0-dev_6.0.1-11~bpo9+0_amd64.deb Size: 19830556 MD5sum: 81293aed8a6d94a507fa15b7f62859b4 SHA1: cda89690db0db1326eb7033209ff4055b749450a SHA256: 555b5033af6da73bb252f0501581fc604ee0de38491c5a0d1df980d8f48f1245 SHA512: e6f34f4aadf48dea29bd10c5f2a26f421cc77678c95c7da212039dd53163f64c5b55d67c1c2e278b5abd0ff838354087f1e1f7e17f8acc98db821bf322a03e19 Homepage: https://www.llvm.org/ Description: clang library - Development package Clang project is a C, C++, Objective C and Objective C++ front-end based on the LLVM compiler. Its goal is to offer a replacement to the GNU Compiler Collection (GCC). . Clang implements all of the ISO C++ 1998, 11 and 14 standards and also provides most of the support of C++17. . This package contains the clang headers to develop extensions over libclang1-6.0. Package: libclang-common-6.0-dev-dbgsym Architecture: amd64 Version: 1:6.0.1-11~bpo9+0 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 8855 Depends: libclang-common-6.0-dev (= 1:6.0.1-11~bpo9+0) Filename: pool-stretch/llvm-6.0.1/libclang-common-6.0-dev-dbgsym_6.0.1-11~bpo9+0_amd64.deb Size: 7744762 MD5sum: c35f778ca554933db7deab3b1e15677b SHA1: 256f15fb82b1e924b20c9dfa005851f25825ef0b SHA256: b673daa5e95d3d5f647c8b13ffc3b9069ada3ced7b0afd34f07229aedb0163e4 SHA512: abf6735f00ad36125c24de972d9178fbc99a57a459431661bece432c9a29b2722b511da60333c0879e9f3505a42158a475c71677a0cc21f843db004763043bd5 Homepage: https://www.llvm.org/ Description: Debug symbols for libclang-common-6.0-dev Build-Ids: 09f380ec7d8184bc94d88c2ad23037ddbf750e85 1037cd5efdd152b23021275f9a3a4d065db5ac0e 143fd928e3785276c78d8bd65b516f28b01750fb 1648c934acfd3c9479032e60afb3c5dbe96338aa 29b2a00918dcfaadb957357a0c6bb720b051a070 4b2f091e17f69657bd7af1119499e33271cca25f a22b46aa86bd1d672ea049c218cea31a8634dfe9 b2d4b3cc4f6a5a4fb3a8c0d6b71a643e370acd72 e6c8f41fade069d7126613da58a984ccf7484889 fa5c23f11193aa595c50addb962c2046cfefac4c Package: libclang-common-6.0-dev Architecture: amd64 Version: 1:6.0.1-11~bpo9+0 Priority: optional Section: libdevel Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 42340 Depends: lib32gcc1 (>= 1:4.2), lib32stdc++6 (>= 4.1.1), libc6 (>= 2.17), libc6-i386 (>= 2.17), libgcc1 (>= 1:3.4), libstdc++6 (>= 5.2), libtinfo5 (>= 6), zlib1g (>= 1:1.1.4), libllvm6.0 (= 1:6.0.1-11~bpo9+0) Filename: pool-stretch/llvm-6.0.1/libclang-common-6.0-dev_6.0.1-11~bpo9+0_amd64.deb Size: 3060776 MD5sum: 2d8210add8cab6051e83c1a58076926d SHA1: 85b41f647301791b0fe2906445340d84260c5ea2 SHA256: 938a73bdcbd7b574be5d5f7c59fa36a541ef68eb08034be5eb2b682cf0de7918 SHA512: 6fd4d09d0458cb62cf18d88e07a94c9f7dea847eda02744d88241a99787c37fb68f700bac81385f8bd29fb2e0d38cc5f1de170bdef415fa6e55d6cd6d9165f20 Homepage: https://www.llvm.org/ Description: clang library - Common development package Clang project is a C, C++, Objective C and Objective C++ front-end based on the LLVM compiler. Its goal is to offer a replacement to the GNU Compiler Collection (GCC). . Clang implements all of the ISO C++ 1998, 11 and 14 standards and also provides most of the support of C++17. . This package contains the clang generic headers and some libraries (profiling, etc). Package: libclang1-6.0-dbgsym Architecture: amd64 Version: 1:6.0.1-11~bpo9+0 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 6437 Depends: libclang1-6.0 (= 1:6.0.1-11~bpo9+0) Breaks: libclang1-6.0-dbg (<< 1:6.0-2~) Replaces: libclang1-6.0-dbg (<< 1:6.0-2~) Filename: pool-stretch/llvm-6.0.1/libclang1-6.0-dbgsym_6.0.1-11~bpo9+0_amd64.deb Size: 594702 MD5sum: 472e89806cbf7df12b4fbac4d2d2a0df SHA1: 855a4de567e2f0e1027b246091ddd911fc4d0672 SHA256: b9fabdac57bce697b0df1df84956bb735b4b8c8f2334fe09e48b744ded640b04 SHA512: 1afcc1569940b822e8e9142d6c2da3b3e1029786fea42fb2f1d6ae8001309c94dafb0115608eb6c8cc4a450c439369be5dcbfb0c776f99a5e8b9df589e4ea502 Homepage: https://www.llvm.org/ Description: Debug symbols for libclang1-6.0 Build-Ids: 8fcff28d8458f684fdc16b5d05901014b6c208f3 Package: libclang1-6.0 Architecture: amd64 Version: 1:6.0.1-11~bpo9+0 Priority: optional Section: libs Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 26210 Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.4), libllvm6.0 (>= 1:6.0~svn298832-1~), libstdc++6 (>= 6) Filename: pool-stretch/llvm-6.0.1/libclang1-6.0_6.0.1-11~bpo9+0_amd64.deb Size: 6933852 MD5sum: 62faf2790a4e88dd6ac7f66dcbd6cb9e SHA1: 69e6510f865645bb02d23bbb98fc5c676da9a2be SHA256: a01b3e581ecc079fc25119bba5397a0cf331be2b4ead35625779344904aadc04 SHA512: a5c0e2a0812b5ba04353eed239fc03e683fbf55801debcdef785b01e1e49c5f992a5d8ab6ca71bfe2f1b04381e6a39b42b603363101babeeafe9f6a39563a200 Homepage: https://www.llvm.org/ Description: C interface to the clang library Clang project is a C, C++, Objective C and Objective C++ front-end based on the LLVM compiler. Its goal is to offer a replacement to the GNU Compiler Collection (GCC). . Clang implements all of the ISO C++ 1998, 11 and 14 standards and also provides most of the support of C++17. . This package contains the clang library. . The C Interface to Clang provides a relatively small API that exposes facilities for parsing source code into an abstract syntax tree (AST), loading already-parsed ASTs, traversing the AST, associating physical source locations with elements within the AST, and other facilities that support Clang-based development tools. Package: libfuzzer-6.0-dev Architecture: amd64 Version: 1:6.0.1-11~bpo9+0 Priority: optional Section: libdevel Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 596 Depends: clang-6.0 (= 1:6.0.1-11~bpo9+0) Filename: pool-stretch/llvm-6.0.1/libfuzzer-6.0-dev_6.0.1-11~bpo9+0_amd64.deb Size: 135854 MD5sum: 687586724be295f56e9f80fb34e0992e SHA1: 13c2a6a11c12f63c4af62efa20ec533a0b51ea90 SHA256: e74111663e19288191a201828d9abba003d6c12f68f72d235b0b2599b1aa3873 SHA512: 33426bfc644db8c11da69908fdb5118094f6fe6e2894acbe912e8cf8c211790c6f98cadc0d7c0711fdfab53b814b0c1f853ed0723df0c2b6dcdeccef0c4b5b8b Homepage: https://www.llvm.org/ Description: Library for coverage-guided fuzz testing LibFuzzer is a library for in-process, coverage-guided, evolutionary fuzzing of other libraries. . LibFuzzer is similar in concept to American Fuzzy Lop (AFL), but it performs all of its fuzzing inside a single process. This in-process fuzzing can be more restrictive and fragile, but is potentially much faster as there is no overhead for process start-up. . The fuzzer is linked with the library under test, and feeds fuzzed inputs to the library via a specific fuzzing entrypoint (aka 'target function'); the fuzzer then tracks which areas of the code are reached, and generates mutations on the corpus of input data in order to maximize the code coverage. The code coverage information for libFuzzer is provided by LLVM's SanitizerCoverage instrumentation. Package: liblld-6.0-dev Architecture: amd64 Version: 1:6.0.1-11~bpo9+0 Priority: optional Section: libdevel Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 187 Depends: lld-6.0 (= 1:6.0.1-11~bpo9+0), liblld-6.0 (= 1:6.0.1-11~bpo9+0) Filename: pool-stretch/llvm-6.0.1/liblld-6.0-dev_6.0.1-11~bpo9+0_amd64.deb Size: 57662 MD5sum: 0e30c8a9c59f1047fd04675339ff465d SHA1: b96ddad7481b928c53656a8c71a388e0db28f09c SHA256: 53314fc8222e22fa7b712d1c3ed1a4a0fa7c10ba24cfaa03ef1e26411ea762e7 SHA512: a041d3077d7bb49fa69bf0ae2ffa5f6b6c75669d47ce3749ed72d3b080f6bdaccf51542570bb66aefa60e562250f00db58ab4e0aa77239100a84e1386ada4eb5 Homepage: https://www.llvm.org/ Description: LLVM-based linker, header files LLD is a new, high-performance linker. It is built as a set of reusable components which highly leverage existing libraries in the larger LLVM Project. . This package provides the header files to build extension over lld. Package: liblld-6.0 Architecture: amd64 Version: 1:6.0.1-11~bpo9+0 Priority: optional Section: libs Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 9925 Depends: libllvm6.0 (= 1:6.0.1-11~bpo9+0) Filename: pool-stretch/llvm-6.0.1/liblld-6.0_6.0.1-11~bpo9+0_amd64.deb Size: 1145438 MD5sum: 67b87074f5717660614cfd3ab65f8ef4 SHA1: a65300be0b34cd549535585213c2c9428b419cc7 SHA256: f1bde1966a2643378fc84632618e64dba051f45e8c4a37300b8342fbdedf12ae SHA512: bc04f1c964f1a45fb2bd5b9b2a8dac72983febb2dec98bdc3faad9c0572cab5f36bffa62e17aeb10ac8ab4e30a75a9ad4cc4b3b56091bbd7226a26a38eddaf95 Homepage: https://www.llvm.org/ Description: LLVM-based linker, library LLD is a new, high-performance linker. It is built as a set of reusable components which highly leverage existing libraries in the larger LLVM Project. . This package contains the LLD runtime library. Package: liblldb-6.0-dbgsym Architecture: amd64 Version: 1:6.0.1-11~bpo9+0 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 7304 Depends: liblldb-6.0 (= 1:6.0.1-11~bpo9+0) Breaks: liblldb-6.0-dbg (<< 1:6.0-2~) Replaces: liblldb-6.0-dbg (<< 1:6.0-2~) Filename: pool-stretch/llvm-6.0.1/liblldb-6.0-dbgsym_6.0.1-11~bpo9+0_amd64.deb Size: 814298 MD5sum: 3b5e4efe0e7194a547be337fa29bcb2b SHA1: 1cd86d4cc9595190b993fe48c2f4aa7e72863da4 SHA256: d4df2afb40ab86c1ed78f90806e61cbce5328c29ca2c8170d32e6bc00fbc4e75 SHA512: 0c38bab97b917fe2e5098ef37bcb78a4f5e554efe7ad8a100079810067ca6a31821761368c22d2b51760e09940f253bc146be880ff0bde1de345755ed56ac0d1 Homepage: https://www.llvm.org/ Description: Debug symbols for liblldb-6.0 Build-Ids: 313d3cc8ebce504807e33cd2206e5edb0d2043a5 60c053f71f1a2f019bbf854c83c75306ba2988c3 ea5d17de5930dfd9ab0d29637ec759334085842c Package: liblldb-6.0-dev Architecture: amd64 Version: 1:6.0.1-11~bpo9+0 Priority: optional Section: libdevel Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 43064 Depends: lldb-6.0 (= 1:6.0.1-11~bpo9+0) Breaks: lldb-6.0-dev (<< 1:6.0~svn215195-2) Replaces: lldb-6.0-dev (<= 1:6.0~svn215195-2) Filename: pool-stretch/llvm-6.0.1/liblldb-6.0-dev_6.0.1-11~bpo9+0_amd64.deb Size: 5072672 MD5sum: 298f3c84fce2e65d9f74350ca9ab368d SHA1: aaa5e0103faa680c3a4e8bc12c61258a50172f14 SHA256: 930e5136a3fd7cc34575c7619b097527e41d11489561bf3b56d85e59e27dcddb SHA512: aef6f7d0b06ba765a91ecd49759cbf28c1358489bc061ec5cb987de69a2799d085b28cbca97a8609888da33a0bb4e9443e94609537b5064545b24d4f6e7b4f9f Homepage: https://www.llvm.org/ Description: Next generation, high-performance debugger, header files LLDB is a next generation, high-performance debugger. It is built as a set of reusable components which highly leverage existing libraries in the larger LLVM Project, such as the Clang expression parser and LLVM disassembler. . This package provides the header files to build extension over lldb. Package: liblldb-6.0 Architecture: amd64 Version: 1:6.0.1-11~bpo9+0 Priority: optional Section: libs Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 32237 Depends: libc6 (>= 2.14), libedit2 (>= 2.11-20080614), libgcc1 (>= 1:3.4), libllvm6.0 (= 1:6.0.1-11~bpo9+0), libncurses5 (>= 6), libpython2.7 (>= 2.7), libstdc++6 (>= 5.2), libtinfo5 (>= 6) Breaks: lldb-6.0 (<< 1:6.0~svn215195-2) Replaces: lldb-6.0 (<= 1:6.0~svn215195-2) Filename: pool-stretch/llvm-6.0.1/liblldb-6.0_6.0.1-11~bpo9+0_amd64.deb Size: 8770910 MD5sum: 94f4f442ac2b3c91f3d58f3ef40ecf01 SHA1: 578a70dcaf25ddb99fca6fffb71caef472e4a265 SHA256: a80d933e149e5ec3fe0984c5a246b851f38bc85d5b2ade7e50a0b2709b92768f SHA512: 293814231738a4855db543350cb652321fc4e753a48d3ac8adb63ce572e1e3b4574a329e1ab30c2d0c9a1e20cef0deb2d71d432ae56ee8aa472e09b9da405aa1 Homepage: https://www.llvm.org/ Description: Next generation, high-performance debugger, library LLDB is a next generation, high-performance debugger. It is built as a set of reusable components which highly leverage existing libraries in the larger LLVM Project, such as the Clang expression parser and LLVM disassembler. . This package contains the LLDB runtime library. Package: libllvm6.0-dbgsym Architecture: amd64 Version: 1:6.0.1-11~bpo9+0 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: extra Section: debug Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 7821 Depends: libllvm6.0 (= 1:6.0.1-11~bpo9+0) Breaks: libllvm6.0-dbg (<< 1:6.0-2~) Replaces: libllvm6.0-dbg (<< 1:6.0-2~) Filename: pool-stretch/llvm-6.0.1/libllvm6.0-dbgsym_6.0.1-11~bpo9+0_amd64.deb Size: 1007482 MD5sum: d6b18261604a54748c58713d23c4f4f4 SHA1: ffdae1a0334ade804ceba5fef5e9ad6aafb44a7e SHA256: df376dba58283148176988803b75b826b1be3a402493203824bf6d8d1bc7d76b SHA512: a9179b4e0ce179c3c37e5ee4333fb0cc5e90b595070cf0775db1fffde08fce4c30c1d2fa114b784e7438d8fa65a727bacf4268af91b331638eb7c2e3f57068ad Homepage: https://www.llvm.org/ Description: Debug symbols for libllvm6.0 Build-Ids: 9875d06e86d6f572450a7a0832925e72bc57a097 Package: libllvm6.0 Architecture: amd64 Version: 1:6.0.1-11~bpo9+0 Multi-Arch: same Priority: optional Section: libs Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 60813 Depends: libc6 (>= 2.15), libedit2 (>= 2.11-20080614), libffi6 (>= 3.0.4), libgcc1 (>= 1:3.4), libstdc++6 (>= 6), libtinfo5 (>= 6), zlib1g (>= 1:1.2.0) Breaks: libllvm3.9v4 Replaces: libllvm3.9v4 Filename: pool-stretch/llvm-6.0.1/libllvm6.0_6.0.1-11~bpo9+0_amd64.deb Size: 14561392 MD5sum: 2f31ec2ee7f5f33fa7b414fdcd58ed69 SHA1: dcb4c9781dcedbc45c1d7aca78e1e5ecfd448fdc SHA256: e10e0ae35e5b0f3de9e0f8e881c1a4c9a2b7daf479d9e74190caadcc8b94d0f2 SHA512: cf741d0cc6a6df13916a930f3cc84e241b354cbc466af96d6ff61ceb8179960cc386f0238ad5d369b5c64b9c9c2d3c663399a07bcad9afc55355832a7e12e687 Homepage: https://www.llvm.org/ Description: Modular compiler and toolchain technologies, runtime library LLVM is a collection of libraries and tools that make it easy to build compilers, optimizers, just-in-time code generators, and many other compiler-related programs. . This package contains the LLVM runtime library. Package: lld-6.0-dbgsym Architecture: amd64 Version: 1:6.0.1-11~bpo9+0 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 1017 Depends: lld-6.0 (= 1:6.0.1-11~bpo9+0) Filename: pool-stretch/llvm-6.0.1/lld-6.0-dbgsym_6.0.1-11~bpo9+0_amd64.deb Size: 101520 MD5sum: baed3eed58995e051419c7387f0e1f03 SHA1: bc63515c8add09d53a8e3fb6aacc3c316896997f SHA256: ed77a0cf37ca0db255823a49092665a68548595734c4651b533c53b85c687ba7 SHA512: cde7efdcfe71e90d215912a34750e32ee63bf687f7f6e0fdea9dd97fa5e02c4ad508711c97a2b6c9d710dbfb39c61235313865efafe0930ab3cf4b9ceffced2c Homepage: https://www.llvm.org/ Description: Debug symbols for lld-6.0 Build-Ids: 49af92e6df9eb22d8f436be0b97345c8866e0b42 Package: lld-6.0 Architecture: amd64 Version: 1:6.0.1-11~bpo9+0 Priority: optional Section: devel Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 3165 Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libllvm6.0 (= 1:6.0.1-11~bpo9+0), libstdc++6 (>= 6), llvm-6.0-dev Filename: pool-stretch/llvm-6.0.1/lld-6.0_6.0.1-11~bpo9+0_amd64.deb Size: 830228 MD5sum: 213aabe049c5a855dd1b10ab123209be SHA1: 3cbdcaf2a0d40be2271219496a1e97da279f8ad9 SHA256: bf899b9528a39ca340c7cbad85e44ff16c60e57614c77d3a76446fefad4bfdb6 SHA512: bed23040b6980b288e1e2f824c09a5e6e7017288b99da68289f27267616d6a855a3c6bfa1b4a40b375ac7fb79005cbed07ccddcddf48bfba1fde1bdf6bc44d88 Homepage: https://www.llvm.org/ Description: LLVM-based linker LLD is a new, high-performance linker. It is built as a set of reusable components which highly leverage existing libraries in the larger LLVM Project. Package: lldb-6.0-dbgsym Architecture: amd64 Version: 1:6.0.1-11~bpo9+0 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 8523 Depends: lldb-6.0 (= 1:6.0.1-11~bpo9+0) Filename: pool-stretch/llvm-6.0.1/lldb-6.0-dbgsym_6.0.1-11~bpo9+0_amd64.deb Size: 1001612 MD5sum: 2d9be5edd3cdb5a997456083b588557e SHA1: 9b5bd07dff88ac6fd8b08d1911fe7e2a8f9e44c1 SHA256: f57762465e8c2eb1d47044466ac72c29e3a09deb1b8f2099f2cdc1cf344d4007 SHA512: 9af94c6bfa7614c7c7796fcaf33a6340052c14bd4bf50728f4c23edfe18ba5a0f2f353c91828865e95c6747812af1d5f05f78814399fb80a82d826b17497cda5 Homepage: https://www.llvm.org/ Description: Debug symbols for lldb-6.0 Build-Ids: 18d5d991eb9147ac060869a099d2718565e0e603 27d347eff14fa76961705ec8f50ee0e8d2f2a9da 66bd1d0e3480073fb233ff68170d2bf6edbe55ea ae810a4167ec15e169bc6478754fddfcf8b7c5b3 baf90a5131e83ad4e8f33596503045538048f812 Package: lldb-6.0 Architecture: amd64 Version: 1:6.0.1-11~bpo9+0 Priority: optional Section: devel Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 36910 Depends: libc6 (>= 2.15), libedit2 (>= 2.11-20080614), libgcc1 (>= 1:3.4), liblldb-6.0 (>= 1:6.0~svn298832-1~), libllvm6.0 (= 1:6.0.1-11~bpo9+0), libncurses5 (>= 6), libpython2.7 (>= 2.7), libstdc++6 (>= 6), libtinfo5 (>= 6), llvm-6.0-dev, python-lldb-6.0 Filename: pool-stretch/llvm-6.0.1/lldb-6.0_6.0.1-11~bpo9+0_amd64.deb Size: 10035404 MD5sum: 086249784bbe9cc5e1d4b9f035cc5bc5 SHA1: 9470089989392e7d68f4297f3c6b377ed791aed7 SHA256: 6f46a0ec7763ae21569f766a50443dba6f8c54da8da10fed09af453e729a6992 SHA512: 515f5bf4f4347592613dd8ac6ef286e02f178103412fa1af75bc996a11ea77e0a7ef38bd55a2e732ebfeaf63a70babbb57e5b4e9303ba48ad2303f65933389d7 Homepage: https://www.llvm.org/ Description: Next generation, high-performance debugger LLDB is a next generation, high-performance debugger. It is built as a set of reusable components which highly leverage existing libraries in the larger LLVM Project, such as the Clang expression parser and LLVM disassembler. 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LLVM uses a single, language-independent virtual instruction set both as an offline code representation (to communicate code between compiler phases and to run-time systems) and as the compiler internal representation (to analyze and transform programs). This persistent code representation allows a common set of sophisticated compiler techniques to be applied at compile-time, link-time, install-time, run-time, or "idle-time" (between program runs). . This package provides the libraries and headers to develop applications using llvm. Package: llvm-6.0-doc Architecture: all Version: 1:6.0.1-11~bpo9+0 Priority: optional Section: doc Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 13676 Depends: libjs-jquery, libjs-underscore Filename: pool-stretch/llvm-6.0.1/llvm-6.0-doc_6.0.1-11~bpo9+0_all.deb Size: 1872162 MD5sum: f2206687c1a5835e1a8eacd63e221e69 SHA1: f6714ecd8cb320d7d04ee364913eb151ed714f84 SHA256: e1d0d6b576119e02c8789d9b4fded2f0830fd710f6141c78d7894cda0f99be44 SHA512: 407411e5f558d37506e58b0601a29abb24079a7b6936c69c43030bea1252e0e3b3501a863434f51bdfa64ca2c5def5423f098a363a7a289de5c3434f48a729a5 Homepage: https://www.llvm.org/ Description: Modular compiler and toolchain technologies, documentation LLVM is a collection of libraries and tools that make it easy to build compilers, optimizers, just-in-time code generators, and many other compiler-related programs. . LLVM uses a single, language-independent virtual instruction set both as an offline code representation (to communicate code between compiler phases and to run-time systems) and as the compiler internal representation (to analyze and transform programs). This persistent code representation allows a common set of sophisticated compiler techniques to be applied at compile-time, link-time, install-time, run-time, or "idle-time" (between program runs). . This package contains all documentation (extensive). Package: llvm-6.0-examples Architecture: all Version: 1:6.0.1-11~bpo9+0 Priority: optional Section: doc Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 469 Depends: llvm-6.0-dev (>= 1:6.0.1-11~bpo9+0), llvm-6.0-dev (<< 1:6.0.1-11~bpo9+0+c~) Filename: pool-stretch/llvm-6.0.1/llvm-6.0-examples_6.0.1-11~bpo9+0_all.deb Size: 252878 MD5sum: deb41db9565d1cd8450314bb2a45b0ed SHA1: 3fdee0216fa0fbf94b2a093dc1f44529e49bb5c5 SHA256: 465272dd8f5166982c74b302601b1a0886bf2ec75dd7461d6bf687b399f24bcd SHA512: 5759c1c1141e5bef8c73698a2e929b89793dca68f0caf4bcea2fa3d2ec48fcac30ad7147df27f34c63a9ef5c565f67e25cf84f1b0a5bffbfb36a955d8a2dc0bd Homepage: https://www.llvm.org/ Description: Modular compiler and toolchain technologies, examples LLVM is a collection of libraries and tools that make it easy to build compilers, optimizers, just-in-time code generators, and many other compiler-related programs. . LLVM uses a single, language-independent virtual instruction set both as an offline code representation (to communicate code between compiler phases and to run-time systems) and as the compiler internal representation (to analyze and transform programs). This persistent code representation allows a common set of sophisticated compiler techniques to be applied at compile-time, link-time, install-time, run-time, or "idle-time" (between program runs). . This package contains examples for using LLVM, both in developing extensions to LLVM and in using it to compile code. Package: llvm-6.0-runtime-dbgsym Architecture: amd64 Version: 1:6.0.1-11~bpo9+0 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 409 Depends: llvm-6.0-runtime (= 1:6.0.1-11~bpo9+0) Filename: pool-stretch/llvm-6.0.1/llvm-6.0-runtime-dbgsym_6.0.1-11~bpo9+0_amd64.deb Size: 73924 MD5sum: 91253f92cb930cf1a481d0410f5ab4e0 SHA1: 27d97e0504655d4ac9f3c3d60c8372eafe4d2b1a SHA256: 0ad884abb51040cd37becc518b710ce14f8fcfee7293ca856e8d01817036ea74 SHA512: c506e5b2e9891240f755b0c64a0b7aa14963d9a76ad254151a7449b0cb3f496c7fe4c4b22e796d01dbce2a4405761cd83a77bb22a2bea338339b073ecea569f8 Homepage: https://www.llvm.org/ Description: Debug symbols for llvm-6.0-runtime Build-Ids: 0b214c6906bab41e1e162e06ad7a5889fe73801e 3ef356eca10660ae720feb5b0250a5f6ddd199f6 Package: llvm-6.0-runtime Architecture: amd64 Version: 1:6.0.1-11~bpo9+0 Priority: optional Section: devel Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 785 Depends: binfmt-support, libc6 (>= 2.15), libgcc1 (>= 1:3.4), libllvm6.0 (>= 1:6.0~svn298832-1~), libstdc++6 (>= 5.2), libtinfo5 (>= 6), zlib1g (>= 1:1.1.4) Conflicts: llvm (<< 2.7-1) Replaces: llvm (<< 2.7-1) Filename: pool-stretch/llvm-6.0.1/llvm-6.0-runtime_6.0.1-11~bpo9+0_amd64.deb Size: 221066 MD5sum: cc8cb7016d4a21ec84f36a236c146166 SHA1: 2b39028a70a97e8d7643fe7c0efb38792bdc147f SHA256: aa23aa6788434a05f659e60fbb2ad3dc929109c143fb5e62833c20f94f230fa8 SHA512: c7e5ebd01002fdb292d438dc25250c63ac4c7cef64da93053bb4ee84cad75bf3696700ebb3f2bbbdcaa37b196dd8162c6d978e9b7b02a1f57374e39fdee8c41a Homepage: https://www.llvm.org/ Description: Modular compiler and toolchain technologies, IR interpreter LLVM is a collection of libraries and tools that make it easy to build compilers, optimizers, just-in-time code generators, and many other compiler-related programs. . LLVM uses a single, language-independent virtual instruction set both as an offline code representation (to communicate code between compiler phases and to run-time systems) and as the compiler internal representation (to analyze and transform programs). This persistent code representation allows a common set of sophisticated compiler techniques to be applied at compile-time, link-time, install-time, run-time, or "idle-time" (between program runs). . This package provides the minimal required to execute programs in LLVM format. Package: llvm-6.0-tools-dbgsym Architecture: amd64 Version: 1:6.0.1-11~bpo9+0 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 172 Depends: llvm-6.0-tools (= 1:6.0.1-11~bpo9+0) Filename: pool-stretch/llvm-6.0.1/llvm-6.0-tools-dbgsym_6.0.1-11~bpo9+0_amd64.deb Size: 57254 MD5sum: a7d50b755b7053439695d78c40b04336 SHA1: 41766f60cc2cf8b5f50949bfadcfb890c5d52f8c SHA256: a5abba798a5a435aed5986eacdcb2b281d413407a33ca3dec49970ee2360ff92 SHA512: ea684f03db7e36d0358469d9bacbf8219194744dd25a667ad6a3317159bf41a499bf833af145b7d6be14f14ed8083e758eccb18cba614c539ecb9a7a3cf93e22 Homepage: https://www.llvm.org/ Description: Debug symbols for llvm-6.0-tools Build-Ids: 2e88dea338326a0a08c068b6fad9ee1b4eaed25f 329bae1234964a9fef0171427aecec446724521c 919f6becc06d84c6be6aa1b71395633086d34e83 Package: llvm-6.0-tools Architecture: amd64 Version: 1:6.0.1-11~bpo9+0 Priority: optional Section: devel Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 949 Depends: libc6 (>= 2.15), libgcc1 (>= 1:3.4), libstdc++6 (>= 5.2), libtinfo5 (>= 6), zlib1g (>= 1:1.1.4), python, llvm-6.0-dev (= 1:6.0.1-11~bpo9+0) Filename: pool-stretch/llvm-6.0.1/llvm-6.0-tools_6.0.1-11~bpo9+0_amd64.deb Size: 232310 MD5sum: d7f8d430c83dc9ba19ac7a42bbcd9658 SHA1: 45f08bc453dbf273dda9412d0f63e8a6d41061f5 SHA256: 5e5eaa20af942b848c05b380a81bf3b91e6bb98e0f35ac8886a2dba9c505dcd2 SHA512: 85fda69063a73152df58c9ae47520363796b350fb2d68650c1e51150623ba0fd6bf8ae934375cf560e0ba2b20ea21fa70ab635c228ff94890b3dc33fcec3c79e Homepage: https://www.llvm.org/ Description: Modular compiler and toolchain technologies, tools LLVM is a collection of libraries and tools that make it easy to build compilers, optimizers, just-in-time code generators, and many other compiler-related programs. . LLVM uses a single, language-independent virtual instruction set both as an offline code representation (to communicate code between compiler phases and to run-time systems) and as the compiler internal representation (to analyze and transform programs). This persistent code representation allows a common set of sophisticated compiler techniques to be applied at compile-time, link-time, install-time, run-time, or "idle-time" (between program runs). . This package provides tools for testing. Package: llvm-6.0 Architecture: amd64 Version: 1:6.0.1-11~bpo9+0 Priority: optional Section: devel Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 16450 Depends: llvm-6.0-runtime (= 1:6.0.1-11~bpo9+0), libc6 (>= 2.15), libgcc1 (>= 1:3.4), libjsoncpp1 (>= 1.7.4), libllvm6.0 (>= 1:6.0~svn298832-1~), libstdc++6 (>= 5.2), libtinfo5 (>= 6), zlib1g (>= 1:1.1.4) Recommends: llvm-6.0-dev Suggests: llvm-6.0-doc Filename: pool-stretch/llvm-6.0.1/llvm-6.0_6.0.1-11~bpo9+0_amd64.deb Size: 4837026 MD5sum: 8c93d60188863e9ee17dfdc6e9bedf8b SHA1: 892d3b48c026de9c6114919b8d647d7dbf39425f SHA256: 4c1adf5f49db7b184066002bbf94da2d7302249cdeb882b4621593113ac12484 SHA512: bf2dca0edc8576e2d375dc718cc53212bd445a6eb328b2254891f5a8a76bb2767047e28cdb2e448ccdaafbc5c06e8fcf06c84378dc64e1dc8bb139655dc86508 Homepage: https://www.llvm.org/ Description: Modular compiler and toolchain technologies LLVM is a collection of libraries and tools that make it easy to build compilers, optimizers, just-in-time code generators, and many other compiler-related programs. . LLVM uses a single, language-independent virtual instruction set both as an offline code representation (to communicate code between compiler phases and to run-time systems) and as the compiler internal representation (to analyze and transform programs). This persistent code representation allows a common set of sophisticated compiler techniques to be applied at compile-time, link-time, install-time, run-time, or "idle-time" (between program runs). . The strengths of the LLVM infrastructure are its extremely simple design (which makes it easy to understand and use), source-language independence, powerful mid-level optimizer, automated compiler debugging support, extensibility, and its stability and reliability. LLVM is currently being used to host a wide variety of academic research projects and commercial projects. LLVM includes C and C++ front-ends, a front-end for a Forth-like language (Stacker), a young scheme front-end, and Java support is in development. LLVM can generate code for X86, SparcV9, PowerPC or many other architectures. Package: python-clang-6.0 Architecture: amd64 Version: 1:6.0.1-11~bpo9+0 Priority: optional Section: python Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 177 Provides: python-clang-x.y Depends: python Conflicts: python-clang-x.y Breaks: python-clang-3.8, python-clang-3.9 Replaces: python-clang-3.8, python-clang-3.9, python-clang-x.y Filename: pool-stretch/llvm-6.0.1/python-clang-6.0_6.0.1-11~bpo9+0_amd64.deb Size: 53314 MD5sum: 961e1c8fc6cd5600d9b929a436ccb11f SHA1: 1959b63e9334b68163333b391a34e994ff9cd937 SHA256: c557316f2a35287bd774bd808df9e721da84cd533295b57b23a60b8447ac09c8 SHA512: 6b1252b6c2089758b5aa3b9c21b39272b08c144139c1f57f60e80ca2d884002ab33182317374af38a74c2145a461cddcb2d6f6ace4cdbd6836281033e23cdac7 Homepage: https://www.llvm.org/ Description: Clang Python Bindings Clang project is a C, C++, Objective C and Objective C++ front-end based on the LLVM compiler. Its goal is to offer a replacement to the GNU Compiler Collection (GCC). . Clang implements all of the ISO C++ 1998, 11 and 14 standards and also provides most of the support of C++17. . This binding package provides access to the Clang compiler and libraries. Package: python-lldb-6.0 Architecture: amd64 Version: 1:6.0.1-11~bpo9+0 Priority: optional Section: python Source: llvm-toolchain-6.0 Maintainer: LLVM Packaging Team Installed-Size: 750 Provides: python-lldb-x.y Depends: liblldb-6.0-dev, python, python-six Conflicts: python-lldb-3.8, python-lldb-3.9, python-lldb-x.y Replaces: python-lldb-x.y Filename: pool-stretch/llvm-6.0.1/python-lldb-6.0_6.0.1-11~bpo9+0_amd64.deb Size: 117454 MD5sum: a74752a4dfc44fc66274a29135b11550 SHA1: a1c27e2ea401565a33dcabf9b865583836be4ff0 SHA256: 0f4b7ed9ec0889bf214eaab0617cb5112fc15d6c9824671571d27a73a979cb87 SHA512: 4b86f36e15fff2ccb37f859db1e38048aa61609f4e0d45d3f41efaeed5d8554041f895c481198c7dd9f19dcefc413643fc8aa567ac31a36f1534083566403879 Homepage: https://www.llvm.org/ Description: Next generation, high-performance debugger, python lib LLDB is a next generation, high-performance debugger. It is built as a set of reusable components which highly leverage existing libraries in the larger LLVM Project, such as the Clang expression parser and LLVM disassembler. . This binding package provides access to lldb. Package: llvmlite-doc Architecture: all Version: 0.26.0-1~bpo9+0 Priority: optional Section: doc Source: llvmlite Maintainer: LLVM Packaging Team Installed-Size: 734 Depends: libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Suggests: python-llvmlite, python3-llvmlite Filename: pool-stretch/llvmlite/llvmlite-doc_0.26.0-1~bpo9+0_all.deb Size: 98266 MD5sum: 80bab10e21aae7ac43c87f65d436d48d SHA1: ff238d4a7065653fc18d941869494a5ad884556b SHA256: 84f842e7acabbb5f7a9e4db39515e83fe692585af69f059e575cf7855d9d4653 SHA512: 522555ec9ce40cdff9c2bb9a2352aa119f7fa0c7571a5e45d06f1616017287658997bed2e5b2930654f3f2f3794698cf91ac2d982b39ba1dedc13aa3d8d8f01f Homepage: http://llvmlite.pydata.org/ Description: LLVM Python binding for writing JIT compilers (docs) llvmlite uses the LLVM library for JIT (just-in-time) compilation of Python code into native machine instructions during runtime. Instead of exposing large parts of the LLVM C++ API for direct calls into the LLVM library, llvmlite follows a lightweight multi-layered approach. . This package contains the documentation and example code. 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Package: python3-llvmlite-dbgsym Architecture: amd64 Version: 0.26.0-1~bpo9+0 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: llvmlite Maintainer: LLVM Packaging Team Installed-Size: 134 Depends: python3-llvmlite (= 0.26.0-1~bpo9+0) Conflicts: python-llvmlite-dbgsym Filename: pool-stretch/llvmlite/python3-llvmlite-dbgsym_0.26.0-1~bpo9+0_amd64.deb Size: 102856 MD5sum: 630e931d098a5704abc867e21377a464 SHA1: c82e0dca181951feba51322d1ebd2679a44eb682 SHA256: 5a8696761413f46f241e10a51dde1382554fd2261afc641838c79f1708b530d5 SHA512: 82b011aa9c58b00a21e29ca15807f207d1849b6c1e4b590041300d5b86832c2a17052e0fa90e24700ae79be7da1af1af26d329ccb579cd73e2fa1981bdb38501 Homepage: http://llvmlite.pydata.org/ Description: Debug symbols for python3-llvmlite Build-Ids: f6f1735078b1fc3ab25e1953674c1e4512a3ec85 Package: python3-llvmlite Architecture: amd64 Version: 0.26.0-1~bpo9+0 Priority: optional Section: python Source: llvmlite Maintainer: LLVM Packaging Team Installed-Size: 444 Depends: python3 (>= 3~), python3:any (>= 3.3.2-2~), python3-six, llvm-6.0, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libllvm6.0 (>= 1:6.0~svn298832-1~), libstdc++6 (>= 5.2) Suggests: llvmlite-doc Filename: pool-stretch/llvmlite/python3-llvmlite_0.26.0-1~bpo9+0_amd64.deb Size: 89922 MD5sum: 8d5cc3419c3e003a5f00d4b693705a70 SHA1: 867d4e20902fd363c7637021f0a6b3dd72bd6db5 SHA256: d3f12a97285ad08e2169b2839c5be243a1ad63417ea66abd6ca8dc8da4fd7ff5 SHA512: 8253d1d446898e61f57bcb8a4f7120cde30504de078da5099bb1c4b6533aa52bdeb8f934b2c01f17dffacb94bed6956b455dd0cfe181be1205a93216b4d4cdd0 Homepage: http://llvmlite.pydata.org/ Description: LLVM Python 3 binding for writing JIT compilers llvmlite uses the LLVM library for JIT (just-in-time) compilation of Python code into native machine instructions during runtime. Instead of exposing large parts of the LLVM C++ API for direct calls into the LLVM library, llvmlite follows a lightweight multi-layered approach. . This package contains the modules and the binding for Python 3. Package: libmkldnn-docs Architecture: all Version: 0.10+20170913.b01e3a5-2+Debian-stretch-9.1 Priority: optional Section: doc Source: mkl-dnn (0.10+20170913.b01e3a5-2) Maintainer: Adam Cecile Installed-Size: 6715 Suggests: libmkldnn-dev (= 0.10+20170913.b01e3a5-2+Debian-stretch-9.1) Filename: pool-stretch/mkl-dnn/libmkldnn-docs_0.10+20170913.b01e3a5-2+Debian-stretch-9.1_all.deb Size: 1101064 MD5sum: d2b3da86612ccd7f946f5441abee18af SHA1: f746e8b8ba8ff6985ea8a565be8db2a3106f4a82 SHA256: 2121499fe9cb47598d7d299a0253bc9d833bab3cb3acb0823fae5a880ba89687 SHA512: 60926c11a5abd2ed657a2871403c07d1261f5de484a4c5678d25de2f5a31e8e241a249490f98f338946290d21914bba92df07acd615d4baba85b003cfbade9a9 Homepage: https://github.com/01org/mkl-dnn Description: Intel MKL for Deep Neural Networks (documentation) Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) is an open source performance library for Deep Learning (DL) applications intended for acceleration of DL frameworks on Intel(R) architecture. . Intel(R) MKL-DNN includes highly vectorized and threaded building blocks for implementation of convolutional neural networks (CNN) with C and C++ interfaces. . This package contains library documentation. 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Intel(R) MKL-DNN includes highly vectorized and threaded building blocks for implementation of convolutional neural networks (CNN) with C and C++ interfaces. . This package contains library documentation. 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Intel(R) MKL-DNN includes highly vectorized and threaded building blocks for implementation of convolutional neural networks (CNN) with C and C++ interfaces. . This package contains library documentation. Package: libmkldnn-docs Architecture: all Version: 0.17.2-1+Debian.stretch.9.6 Priority: optional Section: doc Source: mkl-dnn (0.17.2-1) Maintainer: Adam Cecile Installed-Size: 11064 Suggests: libmkldnn-dev (= 0.17.2-1+Debian.stretch.9.6) Filename: pool-stretch/mkl-dnn/libmkldnn-docs_0.17.2-1+Debian.stretch.9.6_all.deb Size: 2180806 MD5sum: 04db6cdc23a1095380d4e6bd99c529f1 SHA1: 83a1ddabad21ce5e58f2221454abb0f28cd3b7fc SHA256: 59450aa4f9192478a0224347a4dfe1b5e41a975e2ddaafa42f85c6044a8b3ae8 SHA512: 90e39f0e0e098cb7d31b9890a89b5b2f0252bd570e7a464a0355ee214b09235844a3937f769a75b6478d05124cec47208bedd6acd1d9e42262b75aeb891f0c50 Homepage: https://github.com/01org/mkl-dnn Description: Intel MKL for Deep Neural Networks (documentation) Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) is an open source performance library for Deep Learning (DL) applications intended for acceleration of DL frameworks on Intel(R) architecture. . Intel(R) MKL-DNN includes highly vectorized and threaded building blocks for implementation of convolutional neural networks (CNN) with C and C++ interfaces. . This package contains library documentation. Package: libmkldnn-free-dev Architecture: amd64 Version: 0.10+20170913.b01e3a5-2+Debian-stretch-9.1 Priority: optional Section: libdevel Source: mkl-dnn (0.10+20170913.b01e3a5-2) Maintainer: Adam Cecile Installed-Size: 174 Provides: libmkldnn-dev (= 0.10+20170913.b01e3a5-2+Debian-stretch-9.1) Depends: libmkldnn0-free (= 0.10+20170913.b01e3a5-2+Debian-stretch-9.1), libmkldnn-docs (= 0.10+20170913.b01e3a5-2+Debian-stretch-9.1) Conflicts: libmkldnn-nonfree-dev Filename: pool-stretch/mkl-dnn/libmkldnn-free-dev_0.10+20170913.b01e3a5-2+Debian-stretch-9.1_amd64.deb Size: 20968 MD5sum: 6655a92ade9db94ec16d1b5fdd324098 SHA1: 143ba86c4bbeb0f9e6bada3ed7cabdf1c920490c SHA256: 2670bfac7c359da13da5e0923bec4889861e33b859cc087bd9b40e1abd635130 SHA512: b44ee5198c0431509dbb081c1185f2a0505241ab261718cad707d1c4976e9bc6e2bcab3b40b2e2a44f4dbd31d5429dc62504a1ee2be8b46acf584ff88b4a123e Homepage: https://github.com/01org/mkl-dnn Description: Intel MKL for Deep Neural Networks (libdevel and headers) Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) is an open source performance library for Deep Learning (DL) applications intended for acceleration of DL frameworks on Intel(R) architecture. . Intel(R) MKL-DNN includes highly vectorized and threaded building blocks for implementation of convolutional neural networks (CNN) with C and C++ interfaces. . This package contains development library and headers. Package: libmkldnn-free-dev Architecture: amd64 Version: 0.13-1+Debian-stretch-9.4 Priority: optional Section: libdevel Source: mkl-dnn (0.13-1) Maintainer: Adam Cecile Installed-Size: 211 Provides: libmkldnn-dev (= 0.13-1+Debian-stretch-9.4) Depends: libmkldnn0-free (= 0.13-1+Debian-stretch-9.4), libmkldnn-docs (= 0.13-1+Debian-stretch-9.4) Conflicts: libmkldnn-nonfree-dev Filename: pool-stretch/mkl-dnn/libmkldnn-free-dev_0.13-1+Debian-stretch-9.4_amd64.deb Size: 25762 MD5sum: c6b48e43f337898395d3d9840afa0bfa SHA1: 9e0572dd360a8825e482a6d1bece296e7b90c5da SHA256: cd98c58525cb4e680650ad89b301d9985181495fe970e53d423e2ebae8357657 SHA512: 37c2c89dda5568f679eb30f22b4092e3bfcb61b06ae80959d4dffcb857d44db015ef5d42786ae1561754614bd2cbaef66d7d53073c7d09b2b28943d32e02ddcd Homepage: https://github.com/01org/mkl-dnn Description: Intel MKL for Deep Neural Networks (libdevel and headers) Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) is an open source performance library for Deep Learning (DL) applications intended for acceleration of DL frameworks on Intel(R) architecture. . Intel(R) MKL-DNN includes highly vectorized and threaded building blocks for implementation of convolutional neural networks (CNN) with C and C++ interfaces. . This package contains development library and headers. Package: libmkldnn-free-dev Architecture: amd64 Version: 0.16-1+Debian.stretch.9.5 Priority: optional Section: libdevel Source: mkl-dnn (0.16-1) Maintainer: Adam Cecile Installed-Size: 287 Provides: libmkldnn-dev (= 0.16-1+Debian.stretch.9.5) Depends: libmkldnn0-free (= 0.16-1+Debian.stretch.9.5), libmkldnn-docs (= 0.16-1+Debian.stretch.9.5) Conflicts: libmkldnn-nonfree-dev Filename: pool-stretch/mkl-dnn/libmkldnn-free-dev_0.16-1+Debian.stretch.9.5_amd64.deb Size: 30452 MD5sum: e49b42b0a502afcc898de664840ac9f4 SHA1: 2ba3658cd4bd8bf20d90bdb380a736e0e0ad1ba3 SHA256: de4e3ffd2126f2e2049b3323d5023134eb497b8d2a5e4a37556b32ea339a0974 SHA512: ffafeb35ea3acbdb408f4f05cf6b745678d6cdf3a49c5af418fa3c304b887eccd382424e5240e9dc97245ba1d8308b92f2b943fef5ab5215484bbdd3b2f151a3 Homepage: https://github.com/01org/mkl-dnn Description: Intel MKL for Deep Neural Networks (libdevel and headers) Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) is an open source performance library for Deep Learning (DL) applications intended for acceleration of DL frameworks on Intel(R) architecture. . Intel(R) MKL-DNN includes highly vectorized and threaded building blocks for implementation of convolutional neural networks (CNN) with C and C++ interfaces. . This package contains development library and headers. Package: libmkldnn-free-dev Architecture: amd64 Version: 0.17.2-1+Debian.stretch.9.6 Priority: optional Section: libdevel Source: mkl-dnn (0.17.2-1) Maintainer: Adam Cecile Installed-Size: 274 Provides: libmkldnn-dev (= 0.17.2-1+Debian.stretch.9.6) Depends: libmkldnn0-free (= 0.17.2-1+Debian.stretch.9.6), libmkldnn-docs (= 0.17.2-1+Debian.stretch.9.6) Conflicts: libmkldnn-nonfree-dev Filename: pool-stretch/mkl-dnn/libmkldnn-free-dev_0.17.2-1+Debian.stretch.9.6_amd64.deb Size: 34926 MD5sum: 7ef724e3a0cee449416670466d67848d SHA1: ed8c830a4cc564d00c54a78c717293cf2d0558d1 SHA256: 8f4e44f6c6b04a51da6609ab112500cca2a6b269c4c07ceb7ec9ecc7d47d777e SHA512: 8c0b5f36fc9e21f80559ce5e6792632e45f7f0c049d4553eb302946808b95532cf017596629c6aa32551a3b185c4209a16f80562d6a5a8f5d6a5251ad0b7bff4 Homepage: https://github.com/01org/mkl-dnn Description: Intel MKL for Deep Neural Networks (libdevel and headers) Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) is an open source performance library for Deep Learning (DL) applications intended for acceleration of DL frameworks on Intel(R) architecture. . Intel(R) MKL-DNN includes highly vectorized and threaded building blocks for implementation of convolutional neural networks (CNN) with C and C++ interfaces. . This package contains development library and headers. Package: libmkldnn-nonfree-dev Architecture: amd64 Version: 0.10+20170913.b01e3a5-2+Debian-stretch-9.1 Priority: optional Section: libdevel Source: mkl-dnn (0.10+20170913.b01e3a5-2) Maintainer: Adam Cecile Installed-Size: 3671 Provides: libmkldnn-dev (= 0.10+20170913.b01e3a5-2+Debian-stretch-9.1) Depends: libmkldnn0-nonfree-mkl (= 0.10+20170913.b01e3a5-2+Debian-stretch-9.1), libmkldnn-docs (= 0.10+20170913.b01e3a5-2+Debian-stretch-9.1) Conflicts: libmkldnn0-free-dev Filename: pool-stretch/mkl-dnn/libmkldnn-nonfree-dev_0.10+20170913.b01e3a5-2+Debian-stretch-9.1_amd64.deb Size: 175432 MD5sum: 02ec01de5d1b9c0e77689da6b332b841 SHA1: ad95fd3f84af46fd9825478552868bda8be7f5bd SHA256: e3cc8ca00729bc705e8941ea1c3de886c406e95342bbd8606c3aab30b44254b5 SHA512: e7cf943a79c025205684c6dd5e23ac5cf17f247cc6937fad22f80d79221a826ceba8212792119653bf57484ea7a77b1492a148692d982022b9967a5ccda0c10c Homepage: https://github.com/01org/mkl-dnn Description: Intel MKL for Deep Neural Networks (libdevel and headers with non-free add.) Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) is an open source performance library for Deep Learning (DL) applications intended for acceleration of DL frameworks on Intel(R) architecture. . Intel(R) MKL-DNN includes highly vectorized and threaded building blocks for implementation of convolutional neural networks (CNN) with C and C++ interfaces. . This package contains development library and headers (with Intel(R) MKL non-free headers). Package: libmkldnn-nonfree-dev Architecture: amd64 Version: 0.13-1+Debian-stretch-9.4 Priority: optional Section: libdevel Source: mkl-dnn (0.13-1) Maintainer: Adam Cecile Installed-Size: 3705 Provides: libmkldnn-dev (= 0.13-1+Debian-stretch-9.4) Depends: libmkldnn0-nonfree-mkl (= 0.13-1+Debian-stretch-9.4), libmkldnn-docs (= 0.13-1+Debian-stretch-9.4) Conflicts: libmkldnn0-free-dev Filename: pool-stretch/mkl-dnn/libmkldnn-nonfree-dev_0.13-1+Debian-stretch-9.4_amd64.deb Size: 179706 MD5sum: 1b721e91e848a52ab760d1149aa0ac59 SHA1: c76f85fdd3e4a551293aea09ca0aecb9869cd02c SHA256: 93c8a08a60207feade33598aee0434f0e7aca88a7d9e94203ed95ea5929e19e2 SHA512: 750977737430b1b5ef74100e20d99e96389ff8f2f36ef9211368f1bbfe1d27bf1510d34dae34194963be9b5814abf46065953fd4bf460e065e530fcedb7bd134 Homepage: https://github.com/01org/mkl-dnn Description: Intel MKL for Deep Neural Networks (libdevel and headers with non-free add.) Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) is an open source performance library for Deep Learning (DL) applications intended for acceleration of DL frameworks on Intel(R) architecture. . Intel(R) MKL-DNN includes highly vectorized and threaded building blocks for implementation of convolutional neural networks (CNN) with C and C++ interfaces. . This package contains development library and headers (with Intel(R) MKL non-free headers). Package: libmkldnn-nonfree-dev Architecture: amd64 Version: 0.16-1+Debian.stretch.9.5 Priority: optional Section: libdevel Source: mkl-dnn (0.16-1) Maintainer: Adam Cecile Installed-Size: 4378 Provides: libmkldnn-dev (= 0.16-1+Debian.stretch.9.5) Depends: libmkldnn0-nonfree-mkl (= 0.16-1+Debian.stretch.9.5), libmkldnn-docs (= 0.16-1+Debian.stretch.9.5) Conflicts: libmkldnn0-free-dev Filename: pool-stretch/mkl-dnn/libmkldnn-nonfree-dev_0.16-1+Debian.stretch.9.5_amd64.deb Size: 207394 MD5sum: e184aec1f4f64def79c11de59cad7014 SHA1: 62d1971ee5a6963fcff0af9cefa7cc8a4554db55 SHA256: cd46449f4ab4702705a66917bd698a948d35304e42bf0d5d6bd550883338b1d6 SHA512: 5edcaa9f2019e046aa6eddb3550b07d2dac6d9d8135ce00c76122fce334095599523eb081e18a09f4a0930c51ffb07aea67fe8087a6d456360716e15bbc32740 Homepage: https://github.com/01org/mkl-dnn Description: Intel MKL for Deep Neural Networks (libdevel and headers with non-free add.) Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) is an open source performance library for Deep Learning (DL) applications intended for acceleration of DL frameworks on Intel(R) architecture. . Intel(R) MKL-DNN includes highly vectorized and threaded building blocks for implementation of convolutional neural networks (CNN) with C and C++ interfaces. . This package contains development library and headers (with Intel(R) MKL non-free headers). Package: libmkldnn-nonfree-dev Architecture: amd64 Version: 0.17.2-1+Debian.stretch.9.6 Priority: optional Section: libdevel Source: mkl-dnn (0.17.2-1) Maintainer: Adam Cecile Installed-Size: 4370 Provides: libmkldnn-dev (= 0.17.2-1+Debian.stretch.9.6) Depends: libmkldnn0-nonfree-mkl (= 0.17.2-1+Debian.stretch.9.6), libmkldnn-docs (= 0.17.2-1+Debian.stretch.9.6) Conflicts: libmkldnn0-free-dev Filename: pool-stretch/mkl-dnn/libmkldnn-nonfree-dev_0.17.2-1+Debian.stretch.9.6_amd64.deb Size: 212126 MD5sum: 0ed76dc07467b7a36c0cf89ab1b46982 SHA1: d444330c3a3cac5f4fc7b52de62872a643a3bf87 SHA256: 22ff1790d6b7d1af8e0e7a7bcb5334686b49a3fe7072d540671b4bea1a8eb8fa SHA512: 4d58792cb45356fa22cbbb7b9cb084b8fd75fcd5649b63a7f337cfe14034daa6346c089488ed010092ad0cfe7802b8d4fedeced6d28d8abf7326e5132324ce21 Homepage: https://github.com/01org/mkl-dnn Description: Intel MKL for Deep Neural Networks (libdevel and headers with non-free add.) Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) is an open source performance library for Deep Learning (DL) applications intended for acceleration of DL frameworks on Intel(R) architecture. . Intel(R) MKL-DNN includes highly vectorized and threaded building blocks for implementation of convolutional neural networks (CNN) with C and C++ interfaces. . This package contains development library and headers (with Intel(R) MKL non-free headers). Package: libmkldnn0-free-dbgsym Architecture: amd64 Version: 0.10+20170913.b01e3a5-2+Debian-stretch-9.1 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: mkl-dnn (0.10+20170913.b01e3a5-2) Maintainer: Adam Cecile Installed-Size: 11747 Depends: libmkldnn0-free (= 0.10+20170913.b01e3a5-2+Debian-stretch-9.1) Filename: pool-stretch/mkl-dnn/libmkldnn0-free-dbgsym_0.10+20170913.b01e3a5-2+Debian-stretch-9.1_amd64.deb Size: 10585704 MD5sum: 49d2c212619b62f6f65a247039b44b7d SHA1: c05fa58b692fd4332d069aff4a797be5446f0b61 SHA256: 20f8cf4db3113000cd0daeb97e6146d8794efd561016a2d29053994b4d47314a SHA512: 91f922e16ba782983e3a59866e11db80fcead0dc18596a8e78edf94b473e8dfeaf3db2310d52b87d6f11f1998e25541268229ca68f6576537dd8a53574b1c66f Homepage: https://github.com/01org/mkl-dnn Description: Debug symbols for libmkldnn0-free Build-Ids: bf24d4d189a95bb2fe04d275a66832455268cd43 Package: libmkldnn0-free-dbgsym Architecture: amd64 Version: 0.13-1+Debian-stretch-9.4 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: mkl-dnn (0.13-1) Maintainer: Adam Cecile Installed-Size: 16502 Depends: libmkldnn0-free (= 0.13-1+Debian-stretch-9.4) Filename: pool-stretch/mkl-dnn/libmkldnn0-free-dbgsym_0.13-1+Debian-stretch-9.4_amd64.deb Size: 14338282 MD5sum: fc0606a28d3bc78a14c83c776951a9de SHA1: 6fe07b0c38c27fce47ec8155dc9d0f9e592e525d SHA256: 0669a97937c3e118f756d60952d5dca36aba8dc55faa274ccd8ed33d19ba9210 SHA512: c30bddeb8bafd35e742dac2d6fc76d094244a79a83c86e220d17bfb4956fdd93a5c8996f1667f188c86979c7f8ca31f83125c91807581783adac4cc68949d180 Homepage: https://github.com/01org/mkl-dnn Description: Debug symbols for libmkldnn0-free Build-Ids: ba4d9d1b55293fbfd80eea17cf9e7d72aff1fff3 Package: libmkldnn0-free-dbgsym Architecture: amd64 Version: 0.16-1+Debian.stretch.9.5 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: mkl-dnn (0.16-1) Maintainer: Adam Cecile Installed-Size: 19614 Depends: libmkldnn0-free (= 0.16-1+Debian.stretch.9.5) Filename: pool-stretch/mkl-dnn/libmkldnn0-free-dbgsym_0.16-1+Debian.stretch.9.5_amd64.deb Size: 17290896 MD5sum: e3b51bc791c981b56c13efd39d7a5155 SHA1: 21ebf428487510688caebb5c56bdd7bf3c62d4e2 SHA256: dd59e9887578948a9543a83ceeaf22c5f5d67326928403813c0725e14bf9407f SHA512: 72a41623735199d2a297f32e7e85985fa61416be3ae382031aeefad40d9f0c4039e113491cbe608fcb692ff76963a33dfc0b52a9498ab3c9a8e060d71fa6afd4 Homepage: https://github.com/01org/mkl-dnn Description: Debug symbols for libmkldnn0-free Build-Ids: 0076038947bba5702500d82e0fa703646c5b50e1 Package: libmkldnn0-free-dbgsym Architecture: amd64 Version: 0.17.2-1+Debian.stretch.9.6 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: mkl-dnn (0.17.2-1) Maintainer: Adam Cecile Installed-Size: 24301 Depends: libmkldnn0-free (= 0.17.2-1+Debian.stretch.9.6) Filename: pool-stretch/mkl-dnn/libmkldnn0-free-dbgsym_0.17.2-1+Debian.stretch.9.6_amd64.deb Size: 21209598 MD5sum: b04ec4e691ddd0c2d083dde36080c255 SHA1: 6e14c4c01d02a57f7af6f02f97ec4ea31db4b9ba SHA256: 5470960f6e09258aebe38ef444133075c4120488dce9dfc862f832d08c647006 SHA512: 9193ebb7d4d0624d39e9ed98749295b8534caac14bf53b67afaf06e0de6a932381aab9b1d325e401602f55246bcabf906f8eedc0ace913316565fcfc82d40173 Homepage: https://github.com/01org/mkl-dnn Description: Debug symbols for libmkldnn0-free Build-Ids: f3c006091d84629bf736bc604a6b45030e4dbfcc Package: libmkldnn0-free Architecture: amd64 Version: 0.10+20170913.b01e3a5-2+Debian-stretch-9.1 Priority: optional Section: libs Source: mkl-dnn (0.10+20170913.b01e3a5-2) Maintainer: Adam Cecile Installed-Size: 3110 Provides: libmkldnn0 (= 0.10+20170913.b01e3a5-2+Debian-stretch-9.1) Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libstdc++6 (>= 5.2), libmkldnn-docs (= 0.10+20170913.b01e3a5-2+Debian-stretch-9.1) Conflicts: libmkldnn0-nonfree-mkl Filename: pool-stretch/mkl-dnn/libmkldnn0-free_0.10+20170913.b01e3a5-2+Debian-stretch-9.1_amd64.deb Size: 594000 MD5sum: 3c6952fd77be3611117c65a20d153efb SHA1: c05d4c7d112c8e7efc96067dbd9a351497b5a409 SHA256: 0480d2f9f294dec2af62598deffde8ed9961fe27973239e8c26779e38cc91964 SHA512: b1cc98de49f14f30380289b81f21f223c3fc2d6d31b54e86d6d141c4919665ea7e6bd3871fc1aa71c4eef4a0055da3992b0ef5c8141eb35ef40185d388ae6a43 Homepage: https://github.com/01org/mkl-dnn Description: Intel MKL for Deep Neural Networks (library with non-free add.) Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) is an open source performance library for Deep Learning (DL) applications intended for acceleration of DL frameworks on Intel(R) architecture. . Intel(R) MKL-DNN includes highly vectorized and threaded building blocks for implementation of convolutional neural networks (CNN) with C and C++ interfaces. . This package contains C++ library built without non-free Intel(R) MKL library. Package: libmkldnn0-free Architecture: amd64 Version: 0.13-1+Debian-stretch-9.4 Priority: optional Section: libs Source: mkl-dnn (0.13-1) Maintainer: Adam Cecile Installed-Size: 5030 Provides: libmkldnn0 (= 0.13-1+Debian-stretch-9.4) Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libstdc++6 (>= 5.2), libmkldnn-docs (= 0.13-1+Debian-stretch-9.4) Conflicts: libmkldnn0-nonfree-mkl Filename: pool-stretch/mkl-dnn/libmkldnn0-free_0.13-1+Debian-stretch-9.4_amd64.deb Size: 850864 MD5sum: 082fffe8687d3258e880010245f36be4 SHA1: b6affa782cbc1d94dd7f998912cf4d6806dd7b03 SHA256: 6464f7d69152f5b8a226370bbcf71e92d971a62efdd24fe602d5ad4551c2dc70 SHA512: a9ff08406ece47c0cfb2c9fa3703bcfae87591566983ac7649e51bb0ceecc2e324c292489d883b08c219f7c5c4add7dbd73cbb54628a846ac05d21ae2aa0edc0 Homepage: https://github.com/01org/mkl-dnn Description: Intel MKL for Deep Neural Networks (library with non-free add.) Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) is an open source performance library for Deep Learning (DL) applications intended for acceleration of DL frameworks on Intel(R) architecture. . Intel(R) MKL-DNN includes highly vectorized and threaded building blocks for implementation of convolutional neural networks (CNN) with C and C++ interfaces. . This package contains C++ library built without non-free Intel(R) MKL library. Package: libmkldnn0-free Architecture: amd64 Version: 0.16-1+Debian.stretch.9.5 Priority: optional Section: libs Source: mkl-dnn (0.16-1) Maintainer: Adam Cecile Installed-Size: 5382 Provides: libmkldnn0 (= 0.16-1+Debian.stretch.9.5) Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libstdc++6 (>= 5.2), libmkldnn-docs (= 0.16-1+Debian.stretch.9.5) Conflicts: libmkldnn0-nonfree-mkl Filename: pool-stretch/mkl-dnn/libmkldnn0-free_0.16-1+Debian.stretch.9.5_amd64.deb Size: 1052690 MD5sum: 75fec8c772d203c5584cb454a61d7372 SHA1: fd7a6cf89c1c12e0ba4089f6e883a6158ea6294b SHA256: 2e2b8c17deb9a74a7a6ed0d4170df053a50ff46d69b2a34ba9c4778d1f8599eb SHA512: 28c489b6ef4f9021408007561836f404b80e51ee8a7247cdcce399d7142a7a6847b9ae4f2c5333458d4fdb54bdaf645703d6d82a23bd9e60eefca0f2651f7138 Homepage: https://github.com/01org/mkl-dnn Description: Intel MKL for Deep Neural Networks (library with non-free add.) Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) is an open source performance library for Deep Learning (DL) applications intended for acceleration of DL frameworks on Intel(R) architecture. . Intel(R) MKL-DNN includes highly vectorized and threaded building blocks for implementation of convolutional neural networks (CNN) with C and C++ interfaces. . This package contains C++ library built without non-free Intel(R) MKL library. Package: libmkldnn0-free Architecture: amd64 Version: 0.17.2-1+Debian.stretch.9.6 Priority: optional Section: libs Source: mkl-dnn (0.17.2-1) Maintainer: Adam Cecile Installed-Size: 6993 Provides: libmkldnn0 (= 0.17.2-1+Debian.stretch.9.6) Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libstdc++6 (>= 4.8), libmkldnn-docs (= 0.17.2-1+Debian.stretch.9.6) Conflicts: libmkldnn0-nonfree-mkl Filename: pool-stretch/mkl-dnn/libmkldnn0-free_0.17.2-1+Debian.stretch.9.6_amd64.deb Size: 1238852 MD5sum: 410fa8744849e10a6c0ed9c70af87ecf SHA1: 1cf3928539b8eb4b696c724c52b6f1f86951e992 SHA256: 45af1bb31196ee122de7398be6c5e67fe0690735c9aa22c6131f9b6345ecb134 SHA512: f10cf6b1ac3b80a37ecb75f7aef741962803cd844802ce76e062b25c8531dc25cc0cfb38071d83b711a13d4f89f04d6d51760ccc26c1486917b0f0539c9e4bbc Homepage: https://github.com/01org/mkl-dnn Description: Intel MKL for Deep Neural Networks (library with non-free add.) Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) is an open source performance library for Deep Learning (DL) applications intended for acceleration of DL frameworks on Intel(R) architecture. . Intel(R) MKL-DNN includes highly vectorized and threaded building blocks for implementation of convolutional neural networks (CNN) with C and C++ interfaces. . This package contains C++ library built without non-free Intel(R) MKL library. Package: libmkldnn0-nonfree-mkl-dbgsym Architecture: amd64 Version: 0.10+20170913.b01e3a5-2+Debian-stretch-9.1 Auto-Built-Package: debug-symbols Priority: extra Section: non-free/debug Source: mkl-dnn (0.10+20170913.b01e3a5-2) Maintainer: Adam Cecile Installed-Size: 11754 Depends: libmkldnn0-nonfree-mkl (= 0.10+20170913.b01e3a5-2+Debian-stretch-9.1) Filename: pool-stretch/mkl-dnn/libmkldnn0-nonfree-mkl-dbgsym_0.10+20170913.b01e3a5-2+Debian-stretch-9.1_amd64.deb Size: 10592952 MD5sum: 1bb4599e2dc9260367601ae32833adfe SHA1: 6555b753670c273feaa2876cc1b2156307ca13a7 SHA256: 0f340fdbd09468e9b7b624ff3bcab9039d7a43d63139af41407b29942d4fae38 SHA512: 5678ee86813b85b9cf575600e9371eebc0e564bf2426133558a5a66e30674267af4cd46516f395607c93028b16202a38717f4ba107bbc2e72181082ea9a42d39 Homepage: https://github.com/01org/mkl-dnn Description: Debug symbols for libmkldnn0-nonfree-mkl Build-Ids: 29c9f35761fe418880c267b9786d63f668d80262 Package: libmkldnn0-nonfree-mkl-dbgsym Architecture: amd64 Version: 0.13-1+Debian-stretch-9.4 Auto-Built-Package: debug-symbols Priority: extra Section: non-free/debug Source: mkl-dnn (0.13-1) Maintainer: Adam Cecile Installed-Size: 16525 Depends: libmkldnn0-nonfree-mkl (= 0.13-1+Debian-stretch-9.4) Filename: pool-stretch/mkl-dnn/libmkldnn0-nonfree-mkl-dbgsym_0.13-1+Debian-stretch-9.4_amd64.deb Size: 14361726 MD5sum: d4714b8df7ffb32acda3917f145394f7 SHA1: 4e448155f6020870c083596f14e0b071c94de8a5 SHA256: d9ef83254b1c057feef44e548347ecbdd6110a3466b87815afb46d7e9f568415 SHA512: 0d4ed528d06cf6687d0e85692446eaa429937595f717e279f213c717e621a52bdacb9b75cf50e50c848f2593e425f6a8123c147251a7814b8d94d89cd88b3ce0 Homepage: https://github.com/01org/mkl-dnn Description: Debug symbols for libmkldnn0-nonfree-mkl Build-Ids: b017aa94a25ffe6615916cc7758ed560c5cebb10 Package: libmkldnn0-nonfree-mkl-dbgsym Architecture: amd64 Version: 0.16-1+Debian.stretch.9.5 Auto-Built-Package: debug-symbols Priority: extra Section: non-free/debug Source: mkl-dnn (0.16-1) Maintainer: Adam Cecile Installed-Size: 19992 Depends: libmkldnn0-nonfree-mkl (= 0.16-1+Debian.stretch.9.5) Filename: pool-stretch/mkl-dnn/libmkldnn0-nonfree-mkl-dbgsym_0.16-1+Debian.stretch.9.5_amd64.deb Size: 17376020 MD5sum: 81f4a92110bc91e05072ce37a8959960 SHA1: f8f1e5a2926b48922084bb62a1c8b77bb609abff SHA256: e7bac54828d7740d76a91d7fbf21696908dce899df0cd9ee79ed09526f9a6d90 SHA512: 6f4c24c1947266cc7ac5b3378fed455cdf5b02060a6a26f656a09e22dbe7cd2d408ad1baba3fa663381cac25ee284cea0eaca8e4def8224514602557ec55982e Homepage: https://github.com/01org/mkl-dnn Description: Debug symbols for libmkldnn0-nonfree-mkl Build-Ids: 9dfa23ad70f3f8f50699aac84586f3ba832b7034 cffc7682f0ffff0c12dea7f0bce7a271c8c0b863 Package: libmkldnn0-nonfree-mkl-dbgsym Architecture: amd64 Version: 0.17.2-1+Debian.stretch.9.6 Auto-Built-Package: debug-symbols Priority: extra Section: non-free/debug Source: mkl-dnn (0.17.2-1) Maintainer: Adam Cecile Installed-Size: 24769 Depends: libmkldnn0-nonfree-mkl (= 0.17.2-1+Debian.stretch.9.6) Filename: pool-stretch/mkl-dnn/libmkldnn0-nonfree-mkl-dbgsym_0.17.2-1+Debian.stretch.9.6_amd64.deb Size: 21389044 MD5sum: 543640bdf3c7d2e4cd7ca80c8cb155c4 SHA1: 7301aec83e5309916cdafc36c2d603f031144eca SHA256: f5689083ba0a10d1d9c85952d6c89abc8721254799ab15361125579e07334493 SHA512: a04b46ac503ecf5e6f4d536000a15ac5cfa20a263b40abd1507b02ae11e28dcc8461c5b46196ac2c6e84e7de5e6b165e46f78d841e1880c40004369d4cfcf7dc Homepage: https://github.com/01org/mkl-dnn Description: Debug symbols for libmkldnn0-nonfree-mkl Build-Ids: 8fef3401f6ba036a6b0f42a530f3194713778f6e 9dfa23ad70f3f8f50699aac84586f3ba832b7034 Package: libmkldnn0-nonfree-mkl Architecture: amd64 Version: 0.10+20170913.b01e3a5-2+Debian-stretch-9.1 Priority: optional Section: non-free/libs Source: mkl-dnn (0.10+20170913.b01e3a5-2) Maintainer: Adam Cecile Installed-Size: 128249 Provides: libmkldnn0 (= 0.10+20170913.b01e3a5-2+Debian-stretch-9.1) Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), libmkldnn-docs (= 0.10+20170913.b01e3a5-2+Debian-stretch-9.1) Conflicts: libmkldnn0-free Filename: pool-stretch/mkl-dnn/libmkldnn0-nonfree-mkl_0.10+20170913.b01e3a5-2+Debian-stretch-9.1_amd64.deb Size: 19566508 MD5sum: 1e33967f8eaabd894d4f47722e566076 SHA1: a7a45d4d3fd7d9f6c0c2561832f4d1d97473f442 SHA256: e2c5b31c95e979e797b180eb79de20cc8f836780379ea8bed6702cd3ed3e3b9a SHA512: cee96721c6e91bedc95f0493aff65c740f8093278eae44ab1b93da286445d23bcc45daf861a7b6e33976d7af36796f2d66f20e771a1e835d03176d0b8c0e82c7 Homepage: https://github.com/01org/mkl-dnn Description: Intel MKL for Deep Neural Networks (library) Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) is an open source performance library for Deep Learning (DL) applications intended for acceleration of DL frameworks on Intel(R) architecture. . Intel(R) MKL-DNN includes highly vectorized and threaded building blocks for implementation of convolutional neural networks (CNN) with C and C++ interfaces. . This package contains C++ library built with Intel(R) MKL non-free library. Package: libmkldnn0-nonfree-mkl Architecture: amd64 Version: 0.13-1+Debian-stretch-9.4 Priority: optional Section: non-free/libs Source: mkl-dnn (0.13-1) Maintainer: Adam Cecile Installed-Size: 150959 Provides: libmkldnn0 (= 0.13-1+Debian-stretch-9.4) Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), libmkldnn-docs (= 0.13-1+Debian-stretch-9.4) Conflicts: libmkldnn0-free Filename: pool-stretch/mkl-dnn/libmkldnn0-nonfree-mkl_0.13-1+Debian-stretch-9.4_amd64.deb Size: 21460198 MD5sum: 0266ff8d2d9098490d20f6efe89d93a0 SHA1: c1fe52559b510b6fac7660d5647f6e31b1428ca5 SHA256: 0505f08b2aaf8fdb721c4bfd4f87bfbb8f094dccf63069307bf2ff2d64dfa2d9 SHA512: 6ee156ae00c9060ab9a5b478b2d3fedd02d03186c16114636fe97c2cbc04f8318505078c0093272f2ea6db96906c913d3b15db450fd121943ab9eaedb17039cc Homepage: https://github.com/01org/mkl-dnn Description: Intel MKL for Deep Neural Networks (library) Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) is an open source performance library for Deep Learning (DL) applications intended for acceleration of DL frameworks on Intel(R) architecture. . Intel(R) MKL-DNN includes highly vectorized and threaded building blocks for implementation of convolutional neural networks (CNN) with C and C++ interfaces. . This package contains C++ library built with Intel(R) MKL non-free library. Package: libmkldnn0-nonfree-mkl Architecture: amd64 Version: 0.16-1+Debian.stretch.9.5 Priority: optional Section: non-free/libs Source: mkl-dnn (0.16-1) Maintainer: Adam Cecile Installed-Size: 132004 Provides: libmkldnn0 (= 0.16-1+Debian.stretch.9.5) Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), libmkldnn-docs (= 0.16-1+Debian.stretch.9.5) Conflicts: libmkldnn0-free Filename: pool-stretch/mkl-dnn/libmkldnn0-nonfree-mkl_0.16-1+Debian.stretch.9.5_amd64.deb Size: 21276628 MD5sum: df061668fb42a27ee5ab62b4817b06ee SHA1: 6f9fa2d548dacec280c20638a12e4b07094a036a SHA256: 9cd80e7485271f9908c80f0b1c552c43e6971ce210a55f213e73da1eb260dacc SHA512: e1197436acca01bf25c5a3f1b14fb0a8a3667e07fa87484ef44b3db546fe1c39fdcab380fabdd9f9ddf04c6e3c5443fbe88ef78dec433d45cce51977f1874371 Homepage: https://github.com/01org/mkl-dnn Description: Intel MKL for Deep Neural Networks (library) Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) is an open source performance library for Deep Learning (DL) applications intended for acceleration of DL frameworks on Intel(R) architecture. . Intel(R) MKL-DNN includes highly vectorized and threaded building blocks for implementation of convolutional neural networks (CNN) with C and C++ interfaces. . This package contains C++ library built with Intel(R) MKL non-free library. Package: libmkldnn0-nonfree-mkl Architecture: amd64 Version: 0.17.2-1+Debian.stretch.9.6 Priority: optional Section: non-free/libs Source: mkl-dnn (0.17.2-1) Maintainer: Adam Cecile Installed-Size: 133987 Provides: libmkldnn0 (= 0.17.2-1+Debian.stretch.9.6) Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.8), libmkldnn-docs (= 0.17.2-1+Debian.stretch.9.6) Conflicts: libmkldnn0-free Filename: pool-stretch/mkl-dnn/libmkldnn0-nonfree-mkl_0.17.2-1+Debian.stretch.9.6_amd64.deb Size: 21527058 MD5sum: 2af58273d3e038cd7817ab633336baac SHA1: 949263925ef76e8172e86ee056fd2eb67c14798c SHA256: bfcd4723660f5e33cd1af372e0b68b854151ef4f7e020faed0f388b48696efc8 SHA512: c4d9bb622272f63f6179cf971f27a09229a401c5c0d4a8bf986415e5f9e13b00d7a89e862d3952d4e81eacd4de886ce837ccfd946e51cb49f8f048383694c264 Homepage: https://github.com/01org/mkl-dnn Description: Intel MKL for Deep Neural Networks (library) Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) is an open source performance library for Deep Learning (DL) applications intended for acceleration of DL frameworks on Intel(R) architecture. . Intel(R) MKL-DNN includes highly vectorized and threaded building blocks for implementation of convolutional neural networks (CNN) with C and C++ interfaces. . This package contains C++ library built with Intel(R) MKL non-free library. Package: libmxnet-cuda-mkl-dnn Architecture: amd64 Version: 0.12.0+debian-1+Debian.stretch.9.1 Priority: optional Section: science Source: mxnet (0.12.0+debian-1) Maintainer: Adam Cecile Installed-Size: 384839 Provides: libmxnet Depends: libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 331), libcudart8.0 (>= 7.0), libcudnn6 (= 6.0.21-1+cuda8.0), libcufft8.0 (>= 3.0), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 8.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libjemalloc1 (>= 2.1.1), liblapack3 | liblapack.so.3, libnvrtc8.0 (>= 8.0), libopenblas-base, libopencv-core3.2, libopencv-highgui3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libstdc++6 (>= 4.9), libmkldnn0-nonfree-mkl Conflicts: libmxnet Replaces: libmxnet Filename: pool-stretch/mxnet/libmxnet-cuda-mkl-dnn_0.12.0+debian-1+Debian.stretch.9.1_amd64.deb Size: 22150396 MD5sum: 382cb9fa2ef3663c9dcd1ec406b242f6 SHA1: e2d06a944dfac5572f368f921e72f613ed5232a8 SHA256: 4aec5ccd3c9a25fb7dad6f636bb866f7f5936b15f8cd7b053f275864fa76307a SHA512: a62eaee3508e185392d9743b0ae99d5049462c6bcb1f996a75241ebe4431eb7c64378e976223707442dbe52dfe4b60a6e1e3a40932161535b192dee51e0e2fc8 Homepage: https://mxnet.incubator.apache.org/ Description: Apache deep learning framework (library - Intel MKL-DNN/nvidia CUDA build) Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. . It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. . This package contains the shared library built with Intel MKL-DNN CPU optimizations and nvidia CUDA support. Package: libmxnet-cuda-mkl-dnn Architecture: amd64 Version: 0.12.0+debian-2+Debian.stretch.9.1 Priority: optional Section: science Source: mxnet (0.12.0+debian-2) Maintainer: Adam Cecile Installed-Size: 384839 Provides: libmxnet Depends: libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 331), libcudart8.0 (>= 7.0), libcudnn6 (= 6.0.21-1+cuda8.0), libcufft8.0 (>= 3.0), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 8.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libjemalloc1 (>= 2.1.1), liblapack3 | liblapack.so.3, libnvrtc8.0 (>= 8.0), libopenblas-base, libopencv-core3.2, libopencv-highgui3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libstdc++6 (>= 4.9), libmkldnn0-nonfree-mkl Conflicts: libmxnet Replaces: libmxnet Filename: pool-stretch/mxnet/libmxnet-cuda-mkl-dnn_0.12.0+debian-2+Debian.stretch.9.1_amd64.deb Size: 22149818 MD5sum: d39c29e64b7e8cc4ce75482f19c4997a SHA1: 40571c13da676d1bf82f66a14c77bffdb1695d05 SHA256: 945e994cdcae6692d83c501111a6273ef1b4755e9f4a20b574017d0f6cda4ba2 SHA512: 67a2dbbccdb7a8a4e4dec45c1db91751a745bc9037461d01546364ccf65b081a64e6cecf0ba2c4b92697a4c2c4e6a1caee01674f5044f9b55ea0f20a83845d40 Homepage: https://mxnet.incubator.apache.org/ Description: Apache deep learning framework (library - Intel MKL-DNN/nvidia CUDA build) Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. . It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. . This package contains the shared library built with Intel MKL-DNN CPU optimizations and nvidia CUDA support. Package: libmxnet-cuda-mkl-dnn Architecture: amd64 Version: 1.0.0+debian-1+Debian.stretch.9.3 Priority: optional Section: science Source: mxnet (1.0.0+debian-1) Maintainer: Adam Cecile Installed-Size: 411591 Provides: libmxnet Depends: libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 331), libcudart8.0 (>= 7.0), libcudnn6 (= 6.0.21-1+cuda8.0), libcufft8.0 (>= 3.0), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 8.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libjemalloc1 (>= 2.1.1), liblapack3 | liblapack.so.3, libnvrtc8.0 (>= 8.0), libopenblas-base, libopencv-core3.2, libopencv-highgui3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libstdc++6 (>= 4.9), libmkldnn0-nonfree-mkl Conflicts: libmxnet Replaces: libmxnet Filename: pool-stretch/mxnet/libmxnet-cuda-mkl-dnn_1.0.0+debian-1+Debian.stretch.9.3_amd64.deb Size: 23425524 MD5sum: 42b24c718e0341314a4eb227c6194d89 SHA1: 9e150bf3e62efa15efc8872205817f320d55d55f SHA256: 8afab070bfe8c9fbff50095959d6cb9841c43cafd2f22d8770b74616c529ac87 SHA512: e324ed76f8275e964c2c25a6f5def27b6f451c37790edbcb448b91e65cb45bfa769a9575af671ba9991397ee12564fd10d34acc7fcd8744ac992e8726c4ea1c4 Homepage: https://mxnet.incubator.apache.org/ Description: Apache deep learning framework (library - Intel MKL-DNN/nvidia CUDA build) Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. . It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. . This package contains the shared library built with Intel MKL-DNN CPU optimizations and nvidia CUDA support. Package: libmxnet-cuda Architecture: amd64 Version: 0.12.0+debian-1+Debian.stretch.9.1 Priority: optional Section: science Source: mxnet (0.12.0+debian-1) Maintainer: Adam Cecile Installed-Size: 384629 Provides: libmxnet Depends: libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 331), libcudart8.0 (>= 7.0), libcudnn6 (= 6.0.21-1+cuda8.0), libcufft8.0 (>= 3.0), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 8.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libjemalloc1 (>= 2.1.1), liblapack3 | liblapack.so.3, libnvrtc8.0 (>= 8.0), libopenblas-base, libopencv-core3.2, libopencv-highgui3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libstdc++6 (>= 4.9) Conflicts: libmxnet Replaces: libmxnet Filename: pool-stretch/mxnet/libmxnet-cuda_0.12.0+debian-1+Debian.stretch.9.1_amd64.deb Size: 22147644 MD5sum: 26ec82e11f7e316cb1355bc97e207064 SHA1: 79428fb2c137df09fe8336c6f5a6d45913cf528a SHA256: e3f1088a04942d244eadff88c92a7e377097627f0db795378036794b823be93f SHA512: eca05b4bc5234d080847eacf33bc1cf142c29f7b5d04a0ae047b5ccb5e2d010d0ade1278218fa58ca038cabcb1103ff6de84311eb2baad0cab71d6d5776adec8 Homepage: https://mxnet.incubator.apache.org/ Description: Apache deep learning framework (library - nvidia CUDA build) Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. . It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. . This package contains the shared library built with nvidia CUDA support. Package: libmxnet-cuda Architecture: amd64 Version: 0.12.0+debian-2+Debian.stretch.9.1 Priority: optional Section: science Source: mxnet (0.12.0+debian-2) Maintainer: Adam Cecile Installed-Size: 384629 Provides: libmxnet Depends: libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 331), libcudart8.0 (>= 7.0), libcudnn6 (= 6.0.21-1+cuda8.0), libcufft8.0 (>= 3.0), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 8.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libjemalloc1 (>= 2.1.1), liblapack3 | liblapack.so.3, libnvrtc8.0 (>= 8.0), libopenblas-base, libopencv-core3.2, libopencv-highgui3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libstdc++6 (>= 4.9) Conflicts: libmxnet Replaces: libmxnet Filename: pool-stretch/mxnet/libmxnet-cuda_0.12.0+debian-2+Debian.stretch.9.1_amd64.deb Size: 22156448 MD5sum: 5d71986c96c98b0f80aed2c87bfa2cff SHA1: b6126fd7a55c35c7ce3066645ddb9aa666f20081 SHA256: e837cf7fa79a266c69da29ffae7562f2cb1c03c59e5d77ac887da2c8f732ba9d SHA512: f6e6a2cd7a18b606421988096172a98e30af884303da351e7fbfece4c2995517dd6cc83233b5f4238b8a1cb4b22ed52b30c6e00bb05b88575f7e44818ad417cb Homepage: https://mxnet.incubator.apache.org/ Description: Apache deep learning framework (library - nvidia CUDA build) Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. . It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. . This package contains the shared library built with nvidia CUDA support. Package: libmxnet-cuda Architecture: amd64 Version: 1.0.0+debian-1+Debian.stretch.9.3 Priority: optional Section: science Source: mxnet (1.0.0+debian-1) Maintainer: Adam Cecile Installed-Size: 411386 Provides: libmxnet Depends: libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 331), libcudart8.0 (>= 7.0), libcudnn6 (= 6.0.21-1+cuda8.0), libcufft8.0 (>= 3.0), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 8.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libjemalloc1 (>= 2.1.1), liblapack3 | liblapack.so.3, libnvrtc8.0 (>= 8.0), libopenblas-base, libopencv-core3.2, libopencv-highgui3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libstdc++6 (>= 4.9) Conflicts: libmxnet Replaces: libmxnet Filename: pool-stretch/mxnet/libmxnet-cuda_1.0.0+debian-1+Debian.stretch.9.3_amd64.deb Size: 23380210 MD5sum: 82f753ee9cfdd884d691c004643029f4 SHA1: 64004bf50ca9bb3de8cb0533798b85b0bbae4488 SHA256: 034fa9b65461718043990082712d25843cd376fbe8263f8e4ec301290ee5fb02 SHA512: 14622ea46e911b4493670f380704b722f1645726218fa97f44e2ca0a862c391d336dc81c535d22f0bce58acd5ec678f66cc124ef2ff7450a5464f54a9bd95ee5 Homepage: https://mxnet.incubator.apache.org/ Description: Apache deep learning framework (library - nvidia CUDA build) Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. . It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. . This package contains the shared library built with nvidia CUDA support. Package: libmxnet-generic Architecture: amd64 Version: 0.12.0+debian-1+Debian.stretch.9.1 Priority: optional Section: science Source: mxnet (0.12.0+debian-1) Maintainer: Adam Cecile Installed-Size: 33614 Provides: libmxnet Depends: libc6 (>= 2.23), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libjemalloc1 (>= 2.1.1), liblapack3 | liblapack.so.3, libopenblas-base, libopencv-core3.2, libopencv-highgui3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libstdc++6 (>= 6) Conflicts: libmxnet Replaces: libmxnet Filename: pool-stretch/mxnet/libmxnet-generic_0.12.0+debian-1+Debian.stretch.9.1_amd64.deb Size: 5446136 MD5sum: d94d827137c7ef10d2e6fe8f0652bd94 SHA1: 8058291c9b7b6c59c3599bd34879ec20ea7624c7 SHA256: 5f61513c4eeff0f28a3ee9cab61b9e9275ec3389de29741db9b9e7904d60b5d8 SHA512: 763be079b42aa6adacd6e6ef93476435b728ba5e866168def8a18bb229b8b564ea30ee4107fc6c2c1a6fcedfb65cd677733f2ddb930b318a4dc59b20c15bbaf7 Homepage: https://mxnet.incubator.apache.org/ Description: Apache deep learning framework (library - generic build) Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. . It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. . This package contains the shared library built for generic use. Package: libmxnet-generic Architecture: amd64 Version: 0.12.0+debian-2+Debian.stretch.9.1 Priority: optional Section: science Source: mxnet (0.12.0+debian-2) Maintainer: Adam Cecile Installed-Size: 33614 Provides: libmxnet Depends: libc6 (>= 2.23), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libjemalloc1 (>= 2.1.1), liblapack3 | liblapack.so.3, libopenblas-base, libopencv-core3.2, libopencv-highgui3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libstdc++6 (>= 6) Conflicts: libmxnet Replaces: libmxnet Filename: pool-stretch/mxnet/libmxnet-generic_0.12.0+debian-2+Debian.stretch.9.1_amd64.deb Size: 5447330 MD5sum: 5f4a74f58d88f4b0b1332deee92dc0e4 SHA1: 4abd065f96fde1f43472fd2d1fc7c472b6543673 SHA256: c1bcc3ee22aca1c8326eeee7a125281a92951f0feb448fe26c6f1f70e8ee8744 SHA512: 985dd6ad590d60ea39bacabe88f4b6d1aac0bec6c19a79cab9906ba13ca92355c83d90062e03446df7b029a9e4e18174757ee46c206795c01d9603fa12246119 Homepage: https://mxnet.incubator.apache.org/ Description: Apache deep learning framework (library - generic build) Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. . It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. . This package contains the shared library built for generic use. Package: libmxnet-generic Architecture: amd64 Version: 1.0.0+debian-1+Debian.stretch.9.3 Priority: optional Section: science Source: mxnet (1.0.0+debian-1) Maintainer: Adam Cecile Installed-Size: 39596 Provides: libmxnet Depends: libc6 (>= 2.23), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libjemalloc1 (>= 2.1.1), liblapack3 | liblapack.so.3, libopenblas-base, libopencv-core3.2, libopencv-highgui3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libstdc++6 (>= 6) Conflicts: libmxnet Replaces: libmxnet Filename: pool-stretch/mxnet/libmxnet-generic_1.0.0+debian-1+Debian.stretch.9.3_amd64.deb Size: 6431514 MD5sum: cf510bcb04e80eb3ac81db6e8f8357ef SHA1: d6b8bd0952ab79f590b2236fa45378338370f5fc SHA256: f7de6915de1ab7b40ff6936953c031598ed95a3afe8bc79ab1f1801034489450 SHA512: af557c1a0a53c3b52509f75e1f6481bed76135d2c5830d84233fedafdada01c2e1dd1261cbfeaddef087120072f28e8f9d6638653990c4486e8383aa97209010 Homepage: https://mxnet.incubator.apache.org/ Description: Apache deep learning framework (library - generic build) Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. . It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. . This package contains the shared library built for generic use. Package: libmxnet-mkl-dnn Architecture: amd64 Version: 0.12.0+debian-1+Debian.stretch.9.1 Priority: optional Section: science Source: mxnet (0.12.0+debian-1) Maintainer: Adam Cecile Installed-Size: 33834 Provides: libmxnet Depends: libc6 (>= 2.23), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libjemalloc1 (>= 2.1.1), liblapack3 | liblapack.so.3, libopenblas-base, libopencv-core3.2, libopencv-highgui3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: libmxnet Replaces: libmxnet Filename: pool-stretch/mxnet/libmxnet-mkl-dnn_0.12.0+debian-1+Debian.stretch.9.1_amd64.deb Size: 5499912 MD5sum: 223cd673eb57ee78a748a84a57afe725 SHA1: c95d2efe95a424087b2a6e4d674124d581b96b3a SHA256: 04c120931e68fbb651e04525cb1d02bd1f2588d5eebf23ce42c7e1d932fc7e03 SHA512: ed62f604bf769376f9da3a658b879c3bd5222f4f714970fb949d41b8772d4c814dd7aa16014d1758f4d7f1c6925fe1d9c55dec2e529085c6fb5ae93278b722e5 Homepage: https://mxnet.incubator.apache.org/ Description: Apache deep learning framework (library - Intel MKL-DNN build) Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. . It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. . This package contains the shared library built with Intel MKL-DNN CPU optimizations. Package: libmxnet-mkl-dnn Architecture: amd64 Version: 0.12.0+debian-2+Debian.stretch.9.1 Priority: optional Section: science Source: mxnet (0.12.0+debian-2) Maintainer: Adam Cecile Installed-Size: 33834 Provides: libmxnet Depends: libc6 (>= 2.23), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libjemalloc1 (>= 2.1.1), liblapack3 | liblapack.so.3, libopenblas-base, libopencv-core3.2, libopencv-highgui3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: libmxnet Replaces: libmxnet Filename: pool-stretch/mxnet/libmxnet-mkl-dnn_0.12.0+debian-2+Debian.stretch.9.1_amd64.deb Size: 5503300 MD5sum: 7a883ab73b74832de174fe555c8e5c9e SHA1: 0b49727dcc1f829312ef32d3f822145921bd697e SHA256: 373eaa25f8ae6fd6377e48f6e688b8ed805dda280b7ef04cffb2eed7388fadb2 SHA512: dd26018d5320ae260aab2497747be3950865fa7115898cb687a3fca7874ab0bc709b92298d721e42893507a051ffd4627ccf8b7f9c1a753356197d447d059fd8 Homepage: https://mxnet.incubator.apache.org/ Description: Apache deep learning framework (library - Intel MKL-DNN build) Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. . It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. . This package contains the shared library built with Intel MKL-DNN CPU optimizations. Package: libmxnet-mkl-dnn Architecture: amd64 Version: 1.0.0+debian-1+Debian.stretch.9.3 Priority: optional Section: science Source: mxnet (1.0.0+debian-1) Maintainer: Adam Cecile Installed-Size: 39816 Provides: libmxnet Depends: libc6 (>= 2.23), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libjemalloc1 (>= 2.1.1), liblapack3 | liblapack.so.3, libopenblas-base, libopencv-core3.2, libopencv-highgui3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: libmxnet Replaces: libmxnet Filename: pool-stretch/mxnet/libmxnet-mkl-dnn_1.0.0+debian-1+Debian.stretch.9.3_amd64.deb Size: 6479148 MD5sum: 9f2f8af5ebb107a16a433c97cbce2b07 SHA1: 16ee238c88ccb2415ab678f8e900941668480cd6 SHA256: 2c48befe608fe6f17ee46da9fd97b31921d3e7cd1a82a4dd926d850cc25d3a47 SHA512: 8605b5d4c2ce5780c89f1b8b0d0bce1fdc2a98b6d7c54edcd478e557c76d733a27ae962f2c60477ad60ce31db8116bb75a535489234be81a5c2eb94a48c6eb09 Homepage: https://mxnet.incubator.apache.org/ Description: Apache deep learning framework (library - Intel MKL-DNN build) Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. . It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. . This package contains the shared library built with Intel MKL-DNN CPU optimizations. Package: mxnet-cuda-dev Architecture: amd64 Version: 0.12.0+debian-1+Debian.stretch.9.1 Priority: optional Section: science Source: mxnet (0.12.0+debian-1) Maintainer: Adam Cecile Installed-Size: 480296 Provides: mxnet-dev Depends: libmxnet-cuda (= 0.12.0+debian-1+Debian.stretch.9.1), libcudnn6-dev (= 6.0.21-1+cuda8.0), nvidia-cuda-toolkit (>= 7.5), libcupti-dev (>= 7.5) Conflicts: mxnet-dev Replaces: mxnet-dev Filename: pool-stretch/mxnet/mxnet-cuda-dev_0.12.0+debian-1+Debian.stretch.9.1_amd64.deb Size: 24895400 MD5sum: 6fa81cb59ab96f2f6c678266b5366f5e SHA1: 6c61cd9068c571893241fb1805552c95b50b9069 SHA256: 602a8f611a0d56e1f16cb75333f9e454de61fe036125addb7fbcab26008d1717 SHA512: 1d0c7d6b7c12bf3ddc3a38b93aa9110e22f96494e7e28c70876bc95a61e8fa98e14ad7c394e10a185670a2b983c3d153aa3faa3c581303a5917ac5e6a8af49f4 Homepage: https://mxnet.incubator.apache.org/ Description: Apache deep learning framework (development - nvidia CUDA build) Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. . It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. . This package contains the static library built with nvidia CUDA support and development headers. . It also contains dmlc-core static library and its headers. Package: mxnet-cuda-dev Architecture: amd64 Version: 0.12.0+debian-2+Debian.stretch.9.1 Priority: optional Section: science Source: mxnet (0.12.0+debian-2) Maintainer: Adam Cecile Installed-Size: 480296 Provides: mxnet-dev Depends: libmxnet-cuda (= 0.12.0+debian-2+Debian.stretch.9.1), libcudnn6-dev (= 6.0.21-1+cuda8.0), nvidia-cuda-toolkit (>= 7.5), libcupti-dev (>= 7.5) Conflicts: mxnet-dev Replaces: mxnet-dev Filename: pool-stretch/mxnet/mxnet-cuda-dev_0.12.0+debian-2+Debian.stretch.9.1_amd64.deb Size: 24909854 MD5sum: 70ba576424a84a3984c8c1cc100c1dc2 SHA1: c4a57c0c000701a7191d880f94e47852905226d1 SHA256: 7c908c489e5dd8fc2d9c7c659211d059cf304307b543ba0eadb49f1d06dfcd3d SHA512: 3fa61ac8ed198212392f0ac5d6009538d350251a239add4c12d2a9cbd82f1798efe73b61f948579a6cc3a4774596de7e93c1df49266c2d2443d1fd0ca89bc3d1 Homepage: https://mxnet.incubator.apache.org/ Description: Apache deep learning framework (development - nvidia CUDA build) Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. . It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. . This package contains the static library built with nvidia CUDA support and development headers. . It also contains dmlc-core static library and its headers. Package: mxnet-cuda-dev Architecture: amd64 Version: 1.0.0+debian-1+Debian.stretch.9.3 Priority: optional Section: science Source: mxnet (1.0.0+debian-1) Maintainer: Adam Cecile Installed-Size: 513222 Provides: mxnet-dev Depends: libmxnet-cuda (= 1.0.0+debian-1+Debian.stretch.9.3), libcudnn6-dev (= 6.0.21-1+cuda8.0), nvidia-cuda-toolkit (>= 7.5), libcupti-dev (>= 7.5) Conflicts: mxnet-dev Replaces: mxnet-dev Filename: pool-stretch/mxnet/mxnet-cuda-dev_1.0.0+debian-1+Debian.stretch.9.3_amd64.deb Size: 25744440 MD5sum: 4e591b85e829d3d3d31a259cebab8955 SHA1: 527383b00b3d600d04db105d8847476598f78925 SHA256: 5a3b7740719c6e9751d525445ce7fa9cb0affc661576ee384f3f9a3f85d00636 SHA512: 9881d7d568a5a5c3b45ad2259825bd20086337ee3a59a1ecd4e1f47f98ff85f642ca4d325c79ac0e6f6c730aab8c7d9d172b779a55997c7240dd97dd9089bc10 Homepage: https://mxnet.incubator.apache.org/ Description: Apache deep learning framework (development - nvidia CUDA build) Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. . It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. . This package contains the static library built with nvidia CUDA support and development headers. . It also contains dmlc-core static library and its headers. Package: mxnet-cuda-mkl-dnn-dev Architecture: amd64 Version: 0.12.0+debian-1+Debian.stretch.9.1 Priority: optional Section: science Source: mxnet (0.12.0+debian-1) Maintainer: Adam Cecile Installed-Size: 481289 Provides: mxnet-dev Depends: libmxnet-cuda-mkl-dnn (= 0.12.0+debian-1+Debian.stretch.9.1), libcudnn6-dev (= 6.0.21-1+cuda8.0), nvidia-cuda-toolkit (>= 7.5), libcupti-dev (>= 7.5), libmkldnn-nonfree-dev Conflicts: mxnet-dev Replaces: mxnet-dev Filename: pool-stretch/mxnet/mxnet-cuda-mkl-dnn-dev_0.12.0+debian-1+Debian.stretch.9.1_amd64.deb Size: 25055946 MD5sum: 135dc463e76fad1e70eddeb6f26f899c SHA1: dfdddcf0e8b0f3eec09290d50a5de95d9b864b24 SHA256: 2cd5a793a1f6fe2b32b70c11ae010fd67614a399d7f2cf349aa81f7b8a5bb4f0 SHA512: 73257bce7057ebd082128ccafaf3a1d72558d8237e861b3bb506a23d52fc2c2d4d6845b6382428f0641404979e9ad132ceb4ddf242557e48ee7d7057c05fb54a Homepage: https://mxnet.incubator.apache.org/ Description: Apache deep learning framework (development - Intel MKL-DNN/nvidia CUDA build) Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. . It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. . This package contains the static library built with Intel MKL-DNN CPU optimizations and nvidia CUDA support and development headers. . It also contains dmlc-core static library and its headers. Package: mxnet-cuda-mkl-dnn-dev Architecture: amd64 Version: 0.12.0+debian-2+Debian.stretch.9.1 Priority: optional Section: science Source: mxnet (0.12.0+debian-2) Maintainer: Adam Cecile Installed-Size: 481289 Provides: mxnet-dev Depends: libmxnet-cuda-mkl-dnn (= 0.12.0+debian-2+Debian.stretch.9.1), libcudnn6-dev (= 6.0.21-1+cuda8.0), nvidia-cuda-toolkit (>= 7.5), libcupti-dev (>= 7.5), libmkldnn-nonfree-dev Conflicts: mxnet-dev Replaces: mxnet-dev Filename: pool-stretch/mxnet/mxnet-cuda-mkl-dnn-dev_0.12.0+debian-2+Debian.stretch.9.1_amd64.deb Size: 25056498 MD5sum: 55cb9af394330ca366846fc43bf091b4 SHA1: 068d42f2e93d1567f34a672f2091cec1543c8159 SHA256: c9edf1d6f547f9d1b7db11c2ce7b5867d6dcf954e3d9775c44befd1024aef78a SHA512: 842f65047b408a058f2280fcc6755da881eeb7685aea3a84ddacaf5799e1afed62e7bccbdfdd4bb28ab3e6a44b864b9c41e2f1b2e578accab41b9e0ce6d49e1b Homepage: https://mxnet.incubator.apache.org/ Description: Apache deep learning framework (development - Intel MKL-DNN/nvidia CUDA build) Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. . It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. . This package contains the static library built with Intel MKL-DNN CPU optimizations and nvidia CUDA support and development headers. . It also contains dmlc-core static library and its headers. Package: mxnet-cuda-mkl-dnn-dev Architecture: amd64 Version: 1.0.0+debian-1+Debian.stretch.9.3 Priority: optional Section: science Source: mxnet (1.0.0+debian-1) Maintainer: Adam Cecile Installed-Size: 514209 Provides: mxnet-dev Depends: libmxnet-cuda-mkl-dnn (= 1.0.0+debian-1+Debian.stretch.9.3), libcudnn6-dev (= 6.0.21-1+cuda8.0), nvidia-cuda-toolkit (>= 7.5), libcupti-dev (>= 7.5), libmkldnn-nonfree-dev Conflicts: mxnet-dev Replaces: mxnet-dev Filename: pool-stretch/mxnet/mxnet-cuda-mkl-dnn-dev_1.0.0+debian-1+Debian.stretch.9.3_amd64.deb Size: 25867962 MD5sum: c39a56bdad86320a844fd25de44f5a43 SHA1: 9bafd174aaa4691dd32a725ad02683845e211c1d SHA256: f8585c1cbc670c24cbd5fc0b08bea9de7617c9830d13e448588c1d24ed1f0f4f SHA512: 7e59a2adaaec38d9c745e53259010640dd251739f51ae8105e6f1e1ba9db13d2a5927ee2a20c00ff5c9e66481669f288e02f0a1397a0549fad5c993ad40c656d Homepage: https://mxnet.incubator.apache.org/ Description: Apache deep learning framework (development - Intel MKL-DNN/nvidia CUDA build) Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. . It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. . This package contains the static library built with Intel MKL-DNN CPU optimizations and nvidia CUDA support and development headers. . It also contains dmlc-core static library and its headers. Package: mxnet-generic-dev Architecture: amd64 Version: 0.12.0+debian-1+Debian.stretch.9.1 Priority: optional Section: science Source: mxnet (0.12.0+debian-1) Maintainer: Adam Cecile Installed-Size: 87613 Provides: mxnet-dev Depends: libmxnet-generic (= 0.12.0+debian-1+Debian.stretch.9.1) Conflicts: mxnet-dev Replaces: mxnet-dev Filename: pool-stretch/mxnet/mxnet-generic-dev_0.12.0+debian-1+Debian.stretch.9.1_amd64.deb Size: 7382938 MD5sum: a9fea9e872da40c9cdc5bb236a157b1e SHA1: 1e1b155963a0277073336e29846eb6ea075f61f3 SHA256: 9d1767cc435bb8ecde4e8062a09e3af364c3cc852ee9b61ae1d92fde498a40dc SHA512: 91f498f654c38832ba535e205737a9f8d6b4abc734a2501bd1741ef0adcfeb59579187959f736f97e1204005d4e411fc2b211c8beb016346fdd3b2bfccd1aeba Homepage: https://mxnet.incubator.apache.org/ Description: Apache deep learning framework (development - generic build) Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. . It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. . This package contains the static library built for generic use and development headers. . It also contains dmlc-core static library and its headers. Package: mxnet-generic-dev Architecture: amd64 Version: 0.12.0+debian-2+Debian.stretch.9.1 Priority: optional Section: science Source: mxnet (0.12.0+debian-2) Maintainer: Adam Cecile Installed-Size: 87613 Provides: mxnet-dev Depends: libmxnet-generic (= 0.12.0+debian-2+Debian.stretch.9.1) Conflicts: mxnet-dev Replaces: mxnet-dev Filename: pool-stretch/mxnet/mxnet-generic-dev_0.12.0+debian-2+Debian.stretch.9.1_amd64.deb Size: 7383832 MD5sum: de578c15b4c0751558eb3701d0840ac7 SHA1: 1b4caef65339a551ab1b6dde10db796a8443bcce SHA256: 55869889dd579146cff76e876023997dde1530af4f3c15db883955429df410e8 SHA512: ad0c682f5de58c7b601321a2ea062c286d51fb73aab22fccd145fd6a4a50643b4275fde2cffbc5542975071a2ae5a0d17ace467be0343f1e061700fe2d524a4d Homepage: https://mxnet.incubator.apache.org/ Description: Apache deep learning framework (development - generic build) Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. . It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. . This package contains the static library built for generic use and development headers. . It also contains dmlc-core static library and its headers. Package: mxnet-generic-dev Architecture: amd64 Version: 1.0.0+debian-1+Debian.stretch.9.3 Priority: optional Section: science Source: mxnet (1.0.0+debian-1) Maintainer: Adam Cecile Installed-Size: 97794 Provides: mxnet-dev Depends: libmxnet-generic (= 1.0.0+debian-1+Debian.stretch.9.3) Conflicts: mxnet-dev Replaces: mxnet-dev Filename: pool-stretch/mxnet/mxnet-generic-dev_1.0.0+debian-1+Debian.stretch.9.3_amd64.deb Size: 8357392 MD5sum: 1cf3d1b5f42e97a776473ad676f86232 SHA1: bdeec433d5cf27cfdf6003927b9ea11a27837da4 SHA256: 31809b5cc20f7850480d9c2525103139e307dc1a75fafd951625cd47c3e90b01 SHA512: e19f0a1cbca873eb3846c3eba9f307fc73f0190c886666d8814fb96919382ff6349c83cc8402a3f30b093ba40413e789161d57bf24d846891720d2432d9430ed Homepage: https://mxnet.incubator.apache.org/ Description: Apache deep learning framework (development - generic build) Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. . It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. . This package contains the static library built for generic use and development headers. . It also contains dmlc-core static library and its headers. Package: mxnet-mkl-dnn-dev Architecture: amd64 Version: 0.12.0+debian-1+Debian.stretch.9.1 Priority: optional Section: science Source: mxnet (0.12.0+debian-1) Maintainer: Adam Cecile Installed-Size: 88336 Provides: mxnet-dev Depends: libmxnet-mkl-dnn (= 0.12.0+debian-1+Debian.stretch.9.1), libmkldnn-nonfree-dev Conflicts: mxnet-dev Replaces: mxnet-dev Filename: pool-stretch/mxnet/mxnet-mkl-dnn-dev_0.12.0+debian-1+Debian.stretch.9.1_amd64.deb Size: 7503840 MD5sum: 0e2a690233346f4e4a151d0d7a78f7ae SHA1: d1228ebc6807ee2b9209f9f7f64ee98466b17b78 SHA256: 13ab126c98634e561d3a646d4aae94352912cefac6220b355c4a63498a14935b SHA512: a2e6d75d14b361fe0c2aaf7b85907a362b3b59a8a81270e4ea894cc7360b7db8d60b7df5f9707490939674bc9d4f7d6052dde27609774382fc8593762a18dd5c Homepage: https://mxnet.incubator.apache.org/ Description: Apache deep learning framework (development - Intel MKL-DNN build) Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. . It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. . This package contains the static library built with Intel MKL-DNN CPU optimizations and development headers. . It also contains dmlc-core static library and its headers. Package: mxnet-mkl-dnn-dev Architecture: amd64 Version: 0.12.0+debian-2+Debian.stretch.9.1 Priority: optional Section: science Source: mxnet (0.12.0+debian-2) Maintainer: Adam Cecile Installed-Size: 88336 Provides: mxnet-dev Depends: libmxnet-mkl-dnn (= 0.12.0+debian-2+Debian.stretch.9.1), libmkldnn-nonfree-dev Conflicts: mxnet-dev Replaces: mxnet-dev Filename: pool-stretch/mxnet/mxnet-mkl-dnn-dev_0.12.0+debian-2+Debian.stretch.9.1_amd64.deb Size: 7504254 MD5sum: a8f349a0be966268dfbc2a381e860292 SHA1: f9b0dca8d1e871faeeb4633d23409f07b81dcd4a SHA256: bc988aefb19f2138976847f0ff9af2505cc73a8a1c651b322d65e5b80c4d8dc4 SHA512: 1cd8320e287bb5e48eef1f34f0a9dcf008e663d1a5204d7b3f73005f3e270d8c0ca01f9d3d67f80adc879de8be39b01f4e9f00e84b1d4c9183aa6e7940b33aad Homepage: https://mxnet.incubator.apache.org/ Description: Apache deep learning framework (development - Intel MKL-DNN build) Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. . It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. . This package contains the static library built with Intel MKL-DNN CPU optimizations and development headers. . It also contains dmlc-core static library and its headers. Package: mxnet-mkl-dnn-dev Architecture: amd64 Version: 1.0.0+debian-1+Debian.stretch.9.3 Priority: optional Section: science Source: mxnet (1.0.0+debian-1) Maintainer: Adam Cecile Installed-Size: 98519 Provides: mxnet-dev Depends: libmxnet-mkl-dnn (= 1.0.0+debian-1+Debian.stretch.9.3), libmkldnn-nonfree-dev Conflicts: mxnet-dev Replaces: mxnet-dev Filename: pool-stretch/mxnet/mxnet-mkl-dnn-dev_1.0.0+debian-1+Debian.stretch.9.3_amd64.deb Size: 8435902 MD5sum: 256b81dda351958f79fd8c21911809b8 SHA1: 7ac50ef99f3bc1fbf92a3851c1a13c271cb53983 SHA256: e91f81aa44ca1c64e20e895f735a15aca3b2cebab1dd41b56d239f1b9b379f79 SHA512: a9f3bd56beb75e4e1c18d31b06d9de08f526e29a8abe1f7b784a66138fb98134744dcbc9b843e514af5f2cf901d9e452b595869cb6aae60bcc2127ecc89806c6 Homepage: https://mxnet.incubator.apache.org/ Description: Apache deep learning framework (development - Intel MKL-DNN build) Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. . It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. . This package contains the static library built with Intel MKL-DNN CPU optimizations and development headers. . It also contains dmlc-core static library and its headers. Package: python-mxnet Architecture: all Version: 0.12.0+debian-1+Debian.stretch.9.1 Priority: optional Section: python Source: mxnet (0.12.0+debian-1) Maintainer: Adam Cecile Installed-Size: 1575 Depends: python:any (<< 2.8), python:any (>= 2.7.5-5~), python-requests, python-numpy, libmxnet-generic (= 0.12.0+debian-1+Debian.stretch.9.1) | libmxnet-mkl-dnn (= 0.12.0+debian-1+Debian.stretch.9.1) | libmxnet-cuda (= 0.12.0+debian-1+Debian.stretch.9.1) | libmxnet-cuda-mkl-dnn (= 0.12.0+debian-1+Debian.stretch.9.1) | libmxnet (= 0.12.0+debian-1+Debian.stretch.9.1) Recommends: python-opencv, python-graphviz Filename: pool-stretch/mxnet/python-mxnet_0.12.0+debian-1+Debian.stretch.9.1_all.deb Size: 212404 MD5sum: 5587ee5eeacbbc7da70fe5964ca835bb SHA1: 5ddbbc9681f338c2c3cfdf9c685121c31d781907 SHA256: f1143c1b87cac993dab5ed35acd3c8cb2807e279c560f017626e96dfdc6e3f9a SHA512: bc02dca23ab434c6f5f199f1139862749a33097cd6476b69f18dacf2fc6228e7d9fed3f07121377664f8c4361700e655fa006448724873559bcc1dc46532e09a Homepage: https://mxnet.incubator.apache.org/ Description: Apache deep learning framework (Python2 bindings) Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. . It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. . This package contains Python2 module. Enabled optimizations depends on the libmxnet package being installed. Package: python-mxnet Architecture: all Version: 0.12.0+debian-2+Debian.stretch.9.1 Priority: optional Section: python Source: mxnet (0.12.0+debian-2) Maintainer: Adam Cecile Installed-Size: 1575 Depends: python:any (<< 2.8), python:any (>= 2.7.5-5~), python-requests, python-numpy, libmxnet-generic (= 0.12.0+debian-2+Debian.stretch.9.1) | libmxnet-mkl-dnn (= 0.12.0+debian-2+Debian.stretch.9.1) | libmxnet-cuda (= 0.12.0+debian-2+Debian.stretch.9.1) | libmxnet-cuda-mkl-dnn (= 0.12.0+debian-2+Debian.stretch.9.1) | libmxnet (= 0.12.0+debian-2+Debian.stretch.9.1) Recommends: python-opencv, python-graphviz Filename: pool-stretch/mxnet/python-mxnet_0.12.0+debian-2+Debian.stretch.9.1_all.deb Size: 212570 MD5sum: 6043dba42eaca4e2c2098b808619ec33 SHA1: 086a2827a53afee1fb4c8ef40741763893d76b4e SHA256: 44605dc0b60b353b0b14f3c4b9e84029f4dc88000d39f356c2c742b10b95fbbd SHA512: 18099c9a424b4250dd9d960d43ad247eb43fbdb7a6d5be80ec6a1b0554ee8ab4cf2b048a6efae697c0c50c83b1ad105c9f77cdc37c5e6babc45367a96aa170e6 Homepage: https://mxnet.incubator.apache.org/ Description: Apache deep learning framework (Python2 bindings) Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. . It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. . This package contains Python2 module. Enabled optimizations depends on the libmxnet package being installed. Package: python-mxnet Architecture: all Version: 1.0.0+debian-1+Debian.stretch.9.3 Priority: optional Section: python Source: mxnet (1.0.0+debian-1) Maintainer: Adam Cecile Installed-Size: 1625 Depends: python:any (<< 2.8), python:any (>= 2.7.5-5~), python-requests, python-numpy, libmxnet-generic (= 1.0.0+debian-1+Debian.stretch.9.3) | libmxnet-mkl-dnn (= 1.0.0+debian-1+Debian.stretch.9.3) | libmxnet-cuda (= 1.0.0+debian-1+Debian.stretch.9.3) | libmxnet-cuda-mkl-dnn (= 1.0.0+debian-1+Debian.stretch.9.3) | libmxnet (= 1.0.0+debian-1+Debian.stretch.9.3) Recommends: python-opencv, python-graphviz Filename: pool-stretch/mxnet/python-mxnet_1.0.0+debian-1+Debian.stretch.9.3_all.deb Size: 221128 MD5sum: 4186fc304893aca0e5fba716b866c932 SHA1: 45f2262c00971d8ad740228839d2fa199d5fcdb9 SHA256: 36b8d72c3af4b924701bd693a69d156df06409cacb20a3e8cb532536fc8e595a SHA512: 91fbc52024f727763e68201dc0996eb80e169aa929a72b973220e2a2aa22b0b22f6f07ef9f85b1b584fdac7eb830588b3723ec1381961a956ec7ad9b14c94bc2 Homepage: https://mxnet.incubator.apache.org/ Description: Apache deep learning framework (Python2 bindings) Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. . It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. . This package contains Python2 module. Enabled optimizations depends on the libmxnet package being installed. Package: python3-mxnet Architecture: all Version: 0.12.0+debian-1+Debian.stretch.9.1 Priority: optional Section: python Source: mxnet (0.12.0+debian-1) Maintainer: Adam Cecile Installed-Size: 1575 Depends: python3:any (>= 3.4~), python3-requests, python3-numpy, libmxnet-generic (= 0.12.0+debian-1+Debian.stretch.9.1) | libmxnet-mkl-dnn (= 0.12.0+debian-1+Debian.stretch.9.1) | libmxnet-cuda (= 0.12.0+debian-1+Debian.stretch.9.1) | libmxnet-cuda-mkl-dnn (= 0.12.0+debian-1+Debian.stretch.9.1) | libmxnet (= 0.12.0+debian-1+Debian.stretch.9.1) Recommends: python3-opencv, python3-graphviz Filename: pool-stretch/mxnet/python3-mxnet_0.12.0+debian-1+Debian.stretch.9.1_all.deb Size: 212504 MD5sum: 4a8f1288296812a57da5fc0cf5e75a6e SHA1: 939c0656943f7a6139edab6f768594bd2a2132d4 SHA256: dbf75106998d05ad320bc3e0c03f2019897b63e92d0e570f1976647a1b1e40d0 SHA512: 9afd1df5eac0a555e298ef601184ce2fd4dab5e5f3b06e668a23b8857f6ca73555036233b91bfd02de7e5c5cfb64eecc9da7039a80723058b935e3b3e29af1aa Homepage: https://mxnet.incubator.apache.org/ Description: Apache deep learning framework (Python3 bindings) Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. . It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. . This package contains Python3 module. Enabled optimizations depends on the libmxnet package being installed. Package: python3-mxnet Architecture: all Version: 0.12.0+debian-2+Debian.stretch.9.1 Priority: optional Section: python Source: mxnet (0.12.0+debian-2) Maintainer: Adam Cecile Installed-Size: 1575 Depends: python3:any (>= 3.4~), python3-requests, python3-numpy, libmxnet-generic (= 0.12.0+debian-2+Debian.stretch.9.1) | libmxnet-mkl-dnn (= 0.12.0+debian-2+Debian.stretch.9.1) | libmxnet-cuda (= 0.12.0+debian-2+Debian.stretch.9.1) | libmxnet-cuda-mkl-dnn (= 0.12.0+debian-2+Debian.stretch.9.1) | libmxnet (= 0.12.0+debian-2+Debian.stretch.9.1) Recommends: python3-opencv, python3-graphviz Filename: pool-stretch/mxnet/python3-mxnet_0.12.0+debian-2+Debian.stretch.9.1_all.deb Size: 212682 MD5sum: b66abb2646a30babf7f963487adf17cb SHA1: 4f9e5b10477a762cdc412cb05103b1b23800a3ef SHA256: c2540a1b9004930d55a7d31151c6a4e01d7c31d98785663d89d75944ef69b904 SHA512: 5af06c3f08ef36e034b21f99fced6d577f48fa81e98e9b2aa947520f6b8fc98bdc6f06b94526ddbbdac4f43c1e96e154306776460df3231602bfac4d3f33647b Homepage: https://mxnet.incubator.apache.org/ Description: Apache deep learning framework (Python3 bindings) Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. . It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. . This package contains Python3 module. Enabled optimizations depends on the libmxnet package being installed. Package: python3-mxnet Architecture: all Version: 1.0.0+debian-1+Debian.stretch.9.3 Priority: optional Section: python Source: mxnet (1.0.0+debian-1) Maintainer: Adam Cecile Installed-Size: 1625 Depends: python3:any (>= 3.4~), python3-requests, python3-numpy, libmxnet-generic (= 1.0.0+debian-1+Debian.stretch.9.3) | libmxnet-mkl-dnn (= 1.0.0+debian-1+Debian.stretch.9.3) | libmxnet-cuda (= 1.0.0+debian-1+Debian.stretch.9.3) | libmxnet-cuda-mkl-dnn (= 1.0.0+debian-1+Debian.stretch.9.3) | libmxnet (= 1.0.0+debian-1+Debian.stretch.9.3) Recommends: python3-opencv, python3-graphviz Filename: pool-stretch/mxnet/python3-mxnet_1.0.0+debian-1+Debian.stretch.9.3_all.deb Size: 221294 MD5sum: b353fb5fae2d3493c115a0e946c4891a SHA1: c77f6885a40c617ffadb978ee4ef83ef9d5bb80e SHA256: c87a763f9ad91a08247ebe680f33f637370071b70306b26c87137d1427bc6f5a SHA512: 8e646fc656e7786a5d70007d34df0b306b81297062ba3c15beb37221307ad712cf1af28334c00bc9153b6d2debc64be1700d06080066d047585fcd83ba2caa5c Homepage: https://mxnet.incubator.apache.org/ Description: Apache deep learning framework (Python3 bindings) Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. . It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. . This package contains Python3 module. Enabled optimizations depends on the libmxnet package being installed. Package: libnccl-dev Architecture: amd64 Version: 1.3.4+git20171024.03d8569d.debian-1+Debian.stretch.9.1 Priority: optional Section: libdevel Source: nccl1 (1.3.4+git20171024.03d8569d.debian-1) Maintainer: Adam Cecile Installed-Size: 57628 Depends: libnccl1 (= 1.3.4+git20171024.03d8569d.debian-1+Debian.stretch.9.1) Filename: pool-stretch/nccl1/libnccl-dev_1.3.4+git20171024.03d8569d.debian-1+Debian.stretch.9.1_amd64.deb Size: 1745546 MD5sum: 577694a054531f0f85407d0ed3fe96a4 SHA1: 35a5f733b0962d8e7e0a4656e7700ced11b8c160 SHA256: 669c07cb6f9d3a616fb5d35775f25e43a291f558a9da434f18da7bc24d4ffeac SHA512: 0d3c0b89de95863cbf000f12f8c4c07bc9644619a215cd067fbeb9d0be7df90dab108b75a21ee5a4b2706ed2d24bbe1a4aadb49bbcd6aa0ceecc376e574804ea Homepage: https://github.com/NVIDIA/nccl Description: Optimized primitives for multi-GPU communication (development) NCCL (pronounced "Nickel") is a stand-alone library of standard collective communication routines, such as all-gather, reduce, broadcast, etc., that have been optimized to achieve high bandwidth over PCIe. . NCCL supports an arbitrary number of GPUs installed in a single node and can be used in either single- or multi-process (e.g., MPI) applications. . This package contains development headers. Package: libnccl-dev Architecture: amd64 Version: 1.3.4+git20171024.03d8569d.debian-2+Debian.stretch.9.5 Priority: optional Section: libdevel Source: nccl1 (1.3.4+git20171024.03d8569d.debian-2) Maintainer: Adam Cecile Installed-Size: 57628 Depends: libnccl1 (= 1.3.4+git20171024.03d8569d.debian-2+Debian.stretch.9.5) Filename: pool-stretch/nccl1/libnccl-dev_1.3.4+git20171024.03d8569d.debian-2+Debian.stretch.9.5_amd64.deb Size: 1745462 MD5sum: 48d9218889d262905db38954c2161e08 SHA1: 4d884747412d30de9623df82903edf0afd27882d SHA256: e9f992df469ee7317d548d7ced8bde60ca2c00f6f43e024cc9530141d7f52267 SHA512: ef99062200a910651aeb511f34fcbeb58cdd7ff7a0276db27b08e1eb274883ee012aa147ba12d95d069c2e825583a3a7b2ad854faf58d51743a454ad0602a46f Homepage: https://github.com/NVIDIA/nccl Description: Optimized primitives for multi-GPU communication (development) NCCL (pronounced "Nickel") is a stand-alone library of standard collective communication routines, such as all-gather, reduce, broadcast, etc., that have been optimized to achieve high bandwidth over PCIe. . NCCL supports an arbitrary number of GPUs installed in a single node and can be used in either single- or multi-process (e.g., MPI) applications. . This package contains development headers. Package: libnccl-dev Architecture: amd64 Version: 1.3.4+git20171024.03d8569d.debian-3+Debian.stretch.9.6 Priority: optional Section: libdevel Source: nccl1 (1.3.4+git20171024.03d8569d.debian-3) Maintainer: Adam Cecile Installed-Size: 57628 Depends: libnccl1 (= 1.3.4+git20171024.03d8569d.debian-3+Debian.stretch.9.6) Filename: pool-stretch/nccl1/libnccl-dev_1.3.4+git20171024.03d8569d.debian-3+Debian.stretch.9.6_amd64.deb Size: 1746046 MD5sum: 7d5c6e876927dd44f8b8bf1349a525e6 SHA1: 2b27eed9891874f1bc5ee58d144ed2b7c3381eb6 SHA256: 3e3bf3bbd2535a087f1d2f30f4126ff29e0b0b320c191b9eab76da4f0b7f9f2e SHA512: 250e77bc2a3f37c723d3e5d291d139cb4a501747aa0682934f0c10ddfda250f97b207f9a3fbdcb9b57032cc6beac49e215de23b259fa3a10db78f3e1f2157378 Homepage: https://github.com/NVIDIA/nccl Description: Optimized primitives for multi-GPU communication (development) NCCL (pronounced "Nickel") is a stand-alone library of standard collective communication routines, such as all-gather, reduce, broadcast, etc., that have been optimized to achieve high bandwidth over PCIe. . NCCL supports an arbitrary number of GPUs installed in a single node and can be used in either single- or multi-process (e.g., MPI) applications. . This package contains development headers. Package: libnccl1 Architecture: amd64 Version: 1.3.4+git20171024.03d8569d.debian-1+Debian.stretch.9.1 Priority: optional Section: libs Source: nccl1 (1.3.4+git20171024.03d8569d.debian-1) Maintainer: Adam Cecile Installed-Size: 57298 Depends: libc6 (>= 2.14), libcudart8.0 (>= 7.0), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1) Filename: pool-stretch/nccl1/libnccl1_1.3.4+git20171024.03d8569d.debian-1+Debian.stretch.9.1_amd64.deb Size: 1732762 MD5sum: 462c3e955ad3e8ae02c4442f92bf84c0 SHA1: 4cd0b3f347dda3901a3e95dd1102b7ce7f787850 SHA256: d6a8d616907870bf5ad477df2f3e5a5b3f7b5a380dfd878fd0a4a348e3458cd0 SHA512: 78c2a0c72c9ba7b0394d3a19643e82d6f322fc9cdd319063fb168e5df88cb8b55f8ce2e1e6c11cc3d362949a969db7a1248f1bc25d34c1451e60282761b07c53 Homepage: https://github.com/NVIDIA/nccl Description: Optimized primitives for multi-GPU communication (shared library) NCCL (pronounced "Nickel") is a stand-alone library of standard collective communication routines, such as all-gather, reduce, broadcast, etc., that have been optimized to achieve high bandwidth over PCIe. . NCCL supports an arbitrary number of GPUs installed in a single node and can be used in either single- or multi-process (e.g., MPI) applications. . This package contains the shared library. Package: libnccl1 Architecture: amd64 Version: 1.3.4+git20171024.03d8569d.debian-2+Debian.stretch.9.5 Priority: optional Section: libs Source: nccl1 (1.3.4+git20171024.03d8569d.debian-2) Maintainer: Adam Cecile Installed-Size: 57298 Depends: libc6 (>= 2.14), libcudart8.0 (>= 7.0), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1) Filename: pool-stretch/nccl1/libnccl1_1.3.4+git20171024.03d8569d.debian-2+Debian.stretch.9.5_amd64.deb Size: 1732566 MD5sum: ce541ea1c71a7404ede18d22d85906f8 SHA1: e4709105b219b897dc1f07203a4651a0298f2630 SHA256: cc500ae8a50c9cd22efee4d9dd58e6e43c37103e61bd33af86c464298aceb621 SHA512: 54f22762717448b2d5d6953ccfdae71e7678a17e219b3a18ff122cbcd952fa354a795ea003db24289a6f1e92f670d5fc6b4c737772f37856ba683a8e5f3ada8d Homepage: https://github.com/NVIDIA/nccl Description: Optimized primitives for multi-GPU communication (shared library) NCCL (pronounced "Nickel") is a stand-alone library of standard collective communication routines, such as all-gather, reduce, broadcast, etc., that have been optimized to achieve high bandwidth over PCIe. . NCCL supports an arbitrary number of GPUs installed in a single node and can be used in either single- or multi-process (e.g., MPI) applications. . This package contains the shared library. Package: libnccl1 Architecture: amd64 Version: 1.3.4+git20171024.03d8569d.debian-3+Debian.stretch.9.6 Priority: optional Section: libs Source: nccl1 (1.3.4+git20171024.03d8569d.debian-3) Maintainer: Adam Cecile Installed-Size: 57298 Depends: libc6 (>= 2.14), libcudart8.0 (>= 7.0), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1) Filename: pool-stretch/nccl1/libnccl1_1.3.4+git20171024.03d8569d.debian-3+Debian.stretch.9.6_amd64.deb Size: 1733502 MD5sum: 66f6c688e307a9211418f699176a18ac SHA1: 44646aca66d8066243f70ff1634318501bf4df16 SHA256: 0fb258a0abe9bd76509b47cd24828ceede2a64de29ee0d86fa8b812cf9eacffc SHA512: a21fe159fab883a5acfb90f7da2af7ab8186c4c6c81d1fa9a66ab17bafc38c9043d921e44b1787cbddd515e7835c4a9b704ca6dc304cc14e223f3e5caeedce01 Homepage: https://github.com/NVIDIA/nccl Description: Optimized primitives for multi-GPU communication (shared library) NCCL (pronounced "Nickel") is a stand-alone library of standard collective communication routines, such as all-gather, reduce, broadcast, etc., that have been optimized to achieve high bandwidth over PCIe. . NCCL supports an arbitrary number of GPUs installed in a single node and can be used in either single- or multi-process (e.g., MPI) applications. . This package contains the shared library. Package: libnccl-dev Architecture: amd64 Version: 2.4.6+1-1+Debian.stretch.9.8 Priority: optional Section: libdevel Source: nccl (2.4.6+1-1) Maintainer: Adam Cecile Installed-Size: 126109 Depends: libnccl2 (= 2.4.6+1-1+Debian.stretch.9.8) Filename: pool-stretch/nccl2/libnccl-dev_2.4.6+1-1+Debian.stretch.9.8_amd64.deb Size: 28487812 MD5sum: 7cfe065fbb89c21feb9f07f4480c7623 SHA1: c1a2ae36e90a2f8f8486b2984ce4db55256ab330 SHA256: ad0017fb33420874ce954b1b0759a4141a5cfefa709dc95c9646379517bed5e7 SHA512: 97aa99ef93833d6e939e89057145002c27ffef5013627c4ef035494b7427a48703732befe35d0da58b43fd41829c83b084028e47edbd570ef07b3beae47a5788 Homepage: https://github.com/NVIDIA/nccl Description: Optimized primitives for multi-GPU communication (development) NCCL (pronounced "Nickel") is a stand-alone library of standard collective communication routines, such as all-gather, reduce, broadcast, etc., that have been optimized to achieve high bandwidth over PCIe. . NCCL supports an arbitrary number of GPUs installed in a single node and can be used in either single- or multi-process (e.g., MPI) applications. . This package contains development headers. Package: libnccl2 Architecture: amd64 Version: 2.4.6+1-1+Debian.stretch.9.8 Priority: optional Section: libs Source: nccl (2.4.6+1-1) Maintainer: Adam Cecile Installed-Size: 125008 Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1) Filename: pool-stretch/nccl2/libnccl2_2.4.6+1-1+Debian.stretch.9.8_amd64.deb Size: 30785524 MD5sum: b76491c6fe49685ec3f53c6e6135eaa9 SHA1: a66b3d75e8ee1801e52ec4829130644fcf2d2dea SHA256: d3bbb6614d1ebbff85617a9f3d68ac16b1e268d22832f962a570952db49c469f SHA512: de53abd4a448a010f61d686684dfecd1fd8658c9e96776c95d361798e9d70182b803aa20604c1225d6239c8bce878393cc4263effce83d65a0113ee805586158 Homepage: https://github.com/NVIDIA/nccl Description: Optimized primitives for multi-GPU communication (shared library) NCCL (pronounced "Nickel") is a stand-alone library of standard collective communication routines, such as all-gather, reduce, broadcast, etc., that have been optimized to achieve high bandwidth over PCIe. . NCCL supports an arbitrary number of GPUs installed in a single node and can be used in either single- or multi-process (e.g., MPI) applications. . This package contains the shared library. Package: python-confu-doc Architecture: all Version: 0.0~git20171211.cc90068-1 Priority: optional Section: doc Source: confu Maintainer: Adam Cecile Installed-Size: 673 Depends: libjs-sphinxdoc (>= 1.0) Filename: pool-stretch/nnpack/confu/python-confu-doc_0.0~git20171211.cc90068-1_all.deb Size: 296272 MD5sum: 45b9e7accf77fb7f901ad27caa2f8355 SHA1: 0afeb7b8fa278dac631767bf7036207622778b2c SHA256: 5331064955e038862ac768062b44ea8c3e9c28d88d6b5766b0a3ead245e6a96e SHA512: bcf6a7366b44eb5840200886101d1f07e9cf3638a4a42cb87532c903f1b4f7d0e4aa4dbbbe2552e520b496e2876f9e0072751323bdef6e295a03581bd182adb8 Homepage: https://github.com/Maratyszcza/confu Description: Configuration generator for Ninja build system (common documentation) Configuration generator for Ninja build system. . This is the common documentation package. Package: python-confu Architecture: all Version: 0.0~git20171211.cc90068-1 Priority: optional Section: python Source: confu Maintainer: Adam Cecile Installed-Size: 165 Depends: python-ninja-syntax, python-six, python-yaml, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-confu-doc Filename: pool-stretch/nnpack/confu/python-confu_0.0~git20171211.cc90068-1_all.deb Size: 22340 MD5sum: 5da45fa4b69b48e3d02568ce7ab36654 SHA1: 50497dcc09d480da35feadd2ee09da6ef5840efd SHA256: a2537304c4b5f436455227ac57b8638b5c07a42c3c4778b06add6791db86129e SHA512: 6a6582c70bf2794fd8aa98dcf42474caea440325dfabf2f6d3e6c614d8f52a5ba1764bc8a5dd70ce813152a3870f45a7cff3913d964daa954a39042c3b60ce19 Homepage: https://github.com/Maratyszcza/confu Description: Configuration generator for Ninja build system (Python 2) Configuration generator for Ninja build system. . This package installs the library for Python 2. Package: python3-confu Architecture: all Version: 0.0~git20171211.cc90068-1 Priority: optional Section: python Source: confu Maintainer: Adam Cecile Installed-Size: 169 Depends: python3, python3-ninja-syntax, python3-six, python3-yaml, python3:any (>= 3.4~) Suggests: python-confu-doc Filename: pool-stretch/nnpack/confu/python3-confu_0.0~git20171211.cc90068-1_all.deb Size: 22510 MD5sum: 7258f90a50c4be1eb0484c0e48ddbf22 SHA1: f665188fabfeefd614821411b94b18792ca50700 SHA256: c59f828e3f81c9755afe3acb3578c3bde57934496e925447804a4f7bfff2b3a7 SHA512: 43fb05c7ec6c9254a260725749afc5c81bdd19a1e1cca9ef8da898c171f0a556bb19c88238b4769a4687c377048c5c7c5f5a18743ad9759028deedc3938c2696 Homepage: https://github.com/Maratyszcza/confu Description: Configuration generator for Ninja build system (Python 3) Configuration generator for Ninja build system. . This package installs the library for Python 3 and command line tool. Package: python-ninja-syntax Architecture: all Version: 1.7.2-1 Priority: optional Section: python Source: ninja-syntax Maintainer: Adam Cecile Installed-Size: 45 Depends: python:any (<< 2.8), python:any (>= 2.7.5-5~) Filename: pool-stretch/nnpack/ninja-syntax/python-ninja-syntax_1.7.2-1_all.deb Size: 5334 MD5sum: 1e365ae99e339644dfa7ddc6d3b6ea6f SHA1: 2d1df2468085e06511acc0d614e505b821f632fb SHA256: 39fbb9d6bdf2931ccf9a8a741d0b449f30e4ab3b4e280e06374eab12c1a76eeb SHA512: c3c49b34453d8118bd491a17e20445bd7657e4871507fc6ba422bd0e1dc6ab5dc317b3959f4fda9b9d103a94d4bb8f82e1d4bb145cb9af707602f453263c1821 Homepage: https://pypi.python.org/simple/ninja-syntax/ Description: Python module for generating .ninja files (Python 2) Python module for generating .ninja files. . This package installs the library for Python 2. Package: python3-ninja-syntax Architecture: all Version: 1.7.2-1 Priority: optional Section: python Source: ninja-syntax Maintainer: Adam Cecile Installed-Size: 45 Depends: python3:any (>= 3.4~) Suggests: python-ninja-syntax-doc Filename: pool-stretch/nnpack/ninja-syntax/python3-ninja-syntax_1.7.2-1_all.deb Size: 5416 MD5sum: f7ce886fb7c7c3731a0ff09db86628a3 SHA1: af689cd144b91f5ed3e019f642e1d2b68c95fc01 SHA256: ea238b06eb4ff720e51578a0d8363bad23735c45d8d3573fb8758ae0355cccc9 SHA512: 37ef8a4c3520d7c1c37a61dac837205cbb6db7f7dbb6c88bb4f50b6dc51681ad9b21cdedf17ba01509dc1eab3107c033663fecf2efd1688d639c3bb153c074da Homepage: https://pypi.python.org/simple/ninja-syntax/ Description: Python module for generating .ninja files (Python 3) Python module for generating .ninja files. . This package installs the library for Python 3. Package: libnnpack-dbgsym Architecture: amd64 Version: 0.0~git20171212.f824d52-1+Debian.stretch.9.3 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: nnpack (0.0~git20171212.f824d52-1) Maintainer: Adam Cecile Installed-Size: 161 Depends: libnnpack (= 0.0~git20171212.f824d52-1+Debian.stretch.9.3) Filename: pool-stretch/nnpack/nnpack/libnnpack-dbgsym_0.0~git20171212.f824d52-1+Debian.stretch.9.3_amd64.deb Size: 90126 MD5sum: d25867380c798d0eaaeebfed20ee63df SHA1: 362e3c0d36c074bd93012f0d103b5b4d636d065e SHA256: cd536f9a5392966e0e665670d29e23d24d4e58beea21e85245cd9da2da249b13 SHA512: 060d03e76c3d65c52a87b012c98080faacaac1c8cb1921c3a39ac9690f4e7814d509a6ff9a71ca2307d4b85b09be0002d50bb62f5d9e4c82216b231db0753d5d Homepage: https://github.com/Maratyszcza/NNPACK Description: Debug symbols for libnnpack Build-Ids: c2ecf06770ff8a947c878863ec4993a4d5d0c895 Package: libnnpack-dev Architecture: amd64 Version: 0.0~git20171212.f824d52-1+Debian.stretch.9.3 Priority: optional Section: libdevel Source: nnpack (0.0~git20171212.f824d52-1) Maintainer: Adam Cecile Installed-Size: 298 Depends: libnnpack (= 0.0~git20171212.f824d52-1+Debian.stretch.9.3) Filename: pool-stretch/nnpack/nnpack/libnnpack-dev_0.0~git20171212.f824d52-1+Debian.stretch.9.3_amd64.deb Size: 53054 MD5sum: 1943294ddf405b2946c01e8829f3dff2 SHA1: 53008e5551176caeaa964ec040ab7c116efa434e SHA256: b6644fb5e696bad16667de5834737c99789ace5ea3f6f94a18cc4058de5698e2 SHA512: a1560448b36ee413d332218864c2efccb2cd465f14c496cb72c9cb22202871f5d61666e96438856b67551d34852a9f8e19f8e254af7a07050ffbaf27297e6239 Homepage: https://github.com/Maratyszcza/NNPACK Description: Acceleration package for neural network computations (development) NNPACK is an acceleration package for neural network computations. NNPACK aims to provide high-performance implementations of convnet layers for multi-core CPUs. . NNPACK is not intended to be directly used by machine learning researchers; instead it provides low-level performance primitives to be leveraged by higher-level frameworks, such as Caffe, Torch, MXNet, Theano, Tensorflow, and Mocha.jl. . This package contains development headers and static library. Package: libnnpack Architecture: amd64 Version: 0.0~git20171212.f824d52-1+Debian.stretch.9.3 Priority: optional Section: libs Source: nnpack (0.0~git20171212.f824d52-1) Maintainer: Adam Cecile Installed-Size: 142 Depends: libc6 (>= 2.17) Filename: pool-stretch/nnpack/nnpack/libnnpack_0.0~git20171212.f824d52-1+Debian.stretch.9.3_amd64.deb Size: 42092 MD5sum: 061dce68d65ee2bdbeeebfcabf56bf0b SHA1: 65da0ef0abcb90ffd3bc4597859efd0abdc5a3f6 SHA256: 3755ce0fe23e0340fba16de06483c828b11a32410f8f972f9e7756da1998429b SHA512: ef08ba2bf3a6bcb15c9e5268058539694097881af337d1f136181769404251c409cb3cdce0c45a14848e713069fa95c4a4300cf8e3fc04fc6db1efe78cf2c43d Homepage: https://github.com/Maratyszcza/NNPACK Description: Acceleration package for neural network computations (shared library) NNPACK is an acceleration package for neural network computations. NNPACK aims to provide high-performance implementations of convnet layers for multi-core CPUs. . NNPACK is not intended to be directly used by machine learning researchers; instead it provides low-level performance primitives to be leveraged by higher-level frameworks, such as Caffe, Torch, MXNet, Theano, Tensorflow, and Mocha.jl. . This package contains the shared library. Package: python-opcodes-doc Architecture: all Version: 0.3.14-1 Priority: optional Section: doc Source: opcodes Maintainer: Adam Cecile Installed-Size: 6027 Depends: libjs-sphinxdoc (>= 1.0) Filename: pool-stretch/nnpack/opcodes/python-opcodes-doc_0.3.14-1_all.deb Size: 428096 MD5sum: 621b285d0359ded7ca72c3e149bb6678 SHA1: d871c2eafa5764fc234743ed3a5a19df7904e9ee SHA256: 15d3f794c6d51b5eb4b9910acafbb8098a2d4ceea3ac126217ced8eec9237716 SHA512: bee700280524246a59ccf47fc169e1a04315d4455f36bdbcd3bc2c5ebf609ec314b0bee5c76d7cf0c9931fd9ce37b2ceb8c904881ecee51287c11aeb2393bf03 Homepage: https://github.com/Maratyszcza/Opcodes Description: Document CPU instruction sets in a format for development (common documentation) The goal of this project is to document instruction sets in a format convenient for tools development. . An instruction set is represented by three files: . * An XML file that describes instructions * An XSD file that describes the structure of the XML file * A Python module that reads the XML file and represents it as a set of Python objects . This project is a spin-off from PeachPy assembler. . The project provides descriptions for most user-mode x86, x86-64, and k1om instructions up to AVX-512 and SHA (including 3dnow!+, XOP, FMA3, FMA4, TBM and BMI2). . This is the common documentation package. Package: python-opcodes Architecture: all Version: 0.3.14-1 Priority: optional Section: python Source: opcodes Maintainer: Adam Cecile Installed-Size: 6275 Depends: python-pkg-resources, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-opcodes-doc Filename: pool-stretch/nnpack/opcodes/python-opcodes_0.3.14-1_all.deb Size: 148458 MD5sum: 54acb7c5ff6849bd7ae9057fc6826368 SHA1: 1c103c16c3bb9ea52c5ff1a6486e2c51497dedf3 SHA256: 5d8b7a602716ab5ff779ce9268bf695a4c269031b7805ecf2cb818c58120d385 SHA512: 13111e3cc7052a0572a7f2bc391ef53260933d5a259fb876f4f06abc7e10cff1ef4ef02a5ae911f77e235ed8df29bb8c1dd1e597b13d021c8cdf4bf690a2bc76 Homepage: https://github.com/Maratyszcza/Opcodes Description: Document CPU instruction sets in a format for development (Python 2) The goal of this project is to document instruction sets in a format convenient for tools development. . An instruction set is represented by three files: . * An XML file that describes instructions * An XSD file that describes the structure of the XML file * A Python module that reads the XML file and represents it as a set of Python objects . This project is a spin-off from PeachPy assembler. . The project provides descriptions for most user-mode x86, x86-64, and k1om instructions up to AVX-512 and SHA (including 3dnow!+, XOP, FMA3, FMA4, TBM and BMI2). . This package installs the library for Python 2. Package: python3-opcodes Architecture: all Version: 0.3.14-1 Priority: optional Section: python Source: opcodes Maintainer: Adam Cecile Installed-Size: 6275 Depends: python3-pkg-resources, python3:any (>= 3.4~) Suggests: python-opcodes-doc Filename: pool-stretch/nnpack/opcodes/python3-opcodes_0.3.14-1_all.deb Size: 148554 MD5sum: b72ea22f7d05b46f994581a7103845aa SHA1: 46b0cea0d8955f7152a97f6b016186205ec1b997 SHA256: 6cd0747cf16d8664cb4d61eb5e1125df7bb57af097a9451e8ef43b880a2d81e1 SHA512: 4ce7181a7d56df5ed22c840be71b3aaab895617b16ac7e80ed0a03ee67aa4dc6d89203c3c267bca3018a8bbd46bc32f5b0976959bdd88a9df0cd166db20a8207 Homepage: https://github.com/Maratyszcza/Opcodes Description: Document CPU instruction sets in a format for development (Python 3) The goal of this project is to document instruction sets in a format convenient for tools development. . An instruction set is represented by three files: . * An XML file that describes instructions * An XSD file that describes the structure of the XML file * A Python module that reads the XML file and represents it as a set of Python objects . This project is a spin-off from PeachPy assembler. . The project provides descriptions for most user-mode x86, x86-64, and k1om instructions up to AVX-512 and SHA (including 3dnow!+, XOP, FMA3, FMA4, TBM and BMI2). . This package installs the library for Python 3. Package: python-peachpy-doc Architecture: all Version: 0.2.0~git20171207.311c1f6-1 Priority: optional Section: doc Source: peachpy Maintainer: Adam Cecile Installed-Size: 6343 Depends: libjs-sphinxdoc (>= 1.0) Filename: pool-stretch/nnpack/peachpy/python-peachpy-doc_0.2.0~git20171207.311c1f6-1_all.deb Size: 481568 MD5sum: 7f4d496c7ec44f8754407c4030553fb7 SHA1: 537c6c32db461070a6e807f8dced396c73b4e5a8 SHA256: a5d79f83354ae0166a5509606a88b0b5bd3b7b9753bc393c8f560a78da8b0fc0 SHA512: 9b5dcb54515a532210666322affd6d058622b9c12fdcab7a35b68db850f90604b07a3a04f04d7351058fed2ff00e31ff37ddd90eac7959ae65cc4656d8fecc85 Homepage: https://github.com/Maratyszcza/PeachPy Description: Python framework for writing high-performance assembly kernels (common documentation) PeachPy aims to simplify writing optimized assembly kernels while preserving all optimization opportunities of traditional assembly. Some PeachPy features: . * Universal assembly syntax for Windows, Unix, and Golang assembly * Automatic adaption of function to different calling conventions and ABIs * Automatic register allocation * Automation of routine tasks in assembly programming * Supports x86-64 instructions up to AVX-512 and SHA * Auto-generation of metadata files * Python-based metaprogramming and code-generation * Multiplexing of multiple instruction streams * Compatible with Python 2 and Python 3, CPython and PyPy . This is the common documentation package. 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Some PeachPy features: . * Universal assembly syntax for Windows, Unix, and Golang assembly * Automatic adaption of function to different calling conventions and ABIs * Automatic register allocation * Automation of routine tasks in assembly programming * Supports x86-64 instructions up to AVX-512 and SHA * Auto-generation of metadata files * Python-based metaprogramming and code-generation * Multiplexing of multiple instruction streams * Compatible with Python 2 and Python 3, CPython and PyPy . This is the common documentation package. Package: python-peachpy Architecture: all Version: 0.2.0~git20171207.311c1f6-1 Priority: optional Section: python Source: peachpy Maintainer: Adam Cecile Installed-Size: 5255 Depends: python-enum34, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-peachpy-doc Filename: pool-stretch/nnpack/peachpy/python-peachpy_0.2.0~git20171207.311c1f6-1_all.deb Size: 193652 MD5sum: fe096bdee40863024bb7952bee2affb2 SHA1: 8b4f5490cc3e4c422139967e3602e144f5aade6c SHA256: dea6f641df2c81e69a304589c81b6919204f2a6cefca7e8818c16aa026419dab SHA512: 9bac1a7ecfde4e03713a4e385b727b83937f373a6ce166a8f2f7dcb28998d683712b42e9d3c7ab53e0820aa826011d9db26e1b9845cc898e8cde9d59456022f9 Homepage: https://github.com/Maratyszcza/PeachPy Description: Python framework for writing high-performance assembly kernels (Python 2) PeachPy aims to simplify writing optimized assembly kernels while preserving all optimization opportunities of traditional assembly. Some PeachPy features: . * Universal assembly syntax for Windows, Unix, and Golang assembly * Automatic adaption of function to different calling conventions and ABIs * Automatic register allocation * Automation of routine tasks in assembly programming * Supports x86-64 instructions up to AVX-512 and SHA * Auto-generation of metadata files * Python-based metaprogramming and code-generation * Multiplexing of multiple instruction streams * Compatible with Python 2 and Python 3, CPython and PyPy . This package installs the library for Python 2. 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Some PeachPy features: . * Universal assembly syntax for Windows, Unix, and Golang assembly * Automatic adaption of function to different calling conventions and ABIs * Automatic register allocation * Automation of routine tasks in assembly programming * Supports x86-64 instructions up to AVX-512 and SHA * Auto-generation of metadata files * Python-based metaprogramming and code-generation * Multiplexing of multiple instruction streams * Compatible with Python 2 and Python 3, CPython and PyPy . This package installs the library for Python 2. Package: python3-peachpy Architecture: all Version: 0.2.0~git20171207.311c1f6-1 Priority: optional Section: python Source: peachpy Maintainer: Adam Cecile Installed-Size: 5255 Depends: python3-enum34, python3-six, python3:any (>= 3.4~) Suggests: python-peachpy-doc Filename: pool-stretch/nnpack/peachpy/python3-peachpy_0.2.0~git20171207.311c1f6-1_all.deb Size: 193800 MD5sum: 75e288efe7588061cd876f0774d650ea SHA1: aea80440aa15431474c16f3207464c1889184322 SHA256: 88fc110cc740509475180dba6bfd1f5cce584dc114cf02cf4990d9bd0ceb59f4 SHA512: 3a7703b7af36f24e2ba069c56f48c377423a39c5f59ac8f3b95fb034e900c75430f61ba41123f09b071f37a07c49f7bfb6c285e736aa45a34ab39720aad16af4 Homepage: https://github.com/Maratyszcza/PeachPy Description: Python framework for writing high-performance assembly kernels (Python 3) PeachPy aims to simplify writing optimized assembly kernels while preserving all optimization opportunities of traditional assembly. Some PeachPy features: . * Universal assembly syntax for Windows, Unix, and Golang assembly * Automatic adaption of function to different calling conventions and ABIs * Automatic register allocation * Automation of routine tasks in assembly programming * Supports x86-64 instructions up to AVX-512 and SHA * Auto-generation of metadata files * Python-based metaprogramming and code-generation * Multiplexing of multiple instruction streams * Compatible with Python 2 and Python 3, CPython and PyPy . This package installs the library for Python 3. Package: python3-peachpy Architecture: all Version: 0.2.0~git20171207.311c1f6-2 Priority: optional Section: python Source: peachpy Maintainer: Adam Cecile Installed-Size: 5255 Depends: python3-six, python3:any (>= 3.4~) Suggests: python-peachpy-doc Filename: pool-stretch/nnpack/peachpy/python3-peachpy_0.2.0~git20171207.311c1f6-2_all.deb Size: 193880 MD5sum: e5d2b80dce9b44bb343d04bf3429066e SHA1: eeb14be9651429f745957e413eefe80f5325981f SHA256: 9eb61817606b0fc03f451f59739f6311e985ec8a5ade6108f1561af092db8200 SHA512: 36051f8ad820d662e9caf10a7ee0583bfef490dd2696b311af66bf3813b36fc20999c15dc7e60ba6d3f8fb90aba3d5cb93e1324d4a83c39b3c83582cb0ad1cd3 Homepage: https://github.com/Maratyszcza/PeachPy Description: Python framework for writing high-performance assembly kernels (Python 3) PeachPy aims to simplify writing optimized assembly kernels while preserving all optimization opportunities of traditional assembly. Some PeachPy features: . * Universal assembly syntax for Windows, Unix, and Golang assembly * Automatic adaption of function to different calling conventions and ABIs * Automatic register allocation * Automation of routine tasks in assembly programming * Supports x86-64 instructions up to AVX-512 and SHA * Auto-generation of metadata files * Python-based metaprogramming and code-generation * Multiplexing of multiple instruction streams * Compatible with Python 2 and Python 3, CPython and PyPy . This package installs the library for Python 3. Package: numba-doc Architecture: all Version: 0.34.0-3~bpo9+0 Priority: optional Section: doc Source: numba Maintainer: Debian Science Maintainers Installed-Size: 4147 Depends: libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Recommends: python-numba, python3-numba Filename: pool-stretch/numba/numba-doc_0.34.0-3~bpo9+0_all.deb Size: 641756 MD5sum: d0f108c397ae7d46ccb19bc2b13ddae9 SHA1: faa070c729995b45856f816f8c89189c4df6b147 SHA256: 11939f6d116c92f3851cc5419017ab407d1db10c59af7e24dd15d924f9a59835 SHA512: ea875a4be6f00e7de5f4f097585b9fbd35b1127f599c870cff3beb518eaa68abc98f381e2cf60ee5ed17bd002b4f0e2bec91c51964fda23c0853ae740e65f86f Homepage: http://numba.pydata.org/ Description: native machine code compiler for Python (docs) Numba compiles native machine code instructions from Python programs at runtime using the LLVM compiler infrastructure. Just-in-time compilation with Numba could be easily employed by decorating individual computation intensive functions in the Python code. Numba could significantly speed up the performance of computations, and optionally supports compilation to run on GPU processors through Nvidia's CUDA platform. It integrates well with the Python scientific software stack, and especially recognizes Numpy arrays. . This package contains the documentation and examples. Package: python-numba-dbgsym Architecture: amd64 Version: 0.34.0-3~bpo9+0 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: numba Maintainer: Debian Science Maintainers Installed-Size: 509 Depends: python-numba (= 0.34.0-3~bpo9+0) Filename: pool-stretch/numba/python-numba-dbgsym_0.34.0-3~bpo9+0_amd64.deb Size: 415782 MD5sum: 5318b0b335a4293a9eb3d31e37ffd1a0 SHA1: 8fbad316785a1cf9116881bbcdf61aa0ee7d42af SHA256: 9d32b3db44c3d4ab60f6fe23d4069a0c88d6ec505955b8d71e5926f5c277731d SHA512: e683e6ee1fcb8a4fbe8cbe8be879b62e4eb820b0445470d9fcffe83b1f344e61ccdf15109c79880d0dd371d097697519a02903eed068511625987acb61b6ff1f Homepage: http://numba.pydata.org/ Description: Debug symbols for python-numba Build-Ids: 1391d22d9886772a7fac5841889b2c83476e4e76 13e980ac51eb28f22801d4047ebd18b633710def 30ae32a3572cbe8906f31039f7be989320106924 49a43bc9347f9a1e2106cf0dfe6ea34db74ecb0e 68f87048004ce6aeba763003a756a75e77c887bc 7f470e9b544090c6694b1ff1514019d29f07c04c 8092bc8325ac740abdd68d9fc63eb80dfef87b5a 84183809cc5149be0f64324a0c9f9bb577fb949f bb5a7e5616e17d4ae8578d243fbffb4411f3d7d7 f3f808c839fb5a311d1bbc237ecd8336f072c9be Package: python-numba Architecture: amd64 Version: 0.34.0-3~bpo9+0 Priority: optional Section: python Source: numba Maintainer: Debian Science Maintainers Installed-Size: 5394 Depends: python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python:any (<< 2.8), python:any (>= 2.7.5-5~), libc6 (>= 2.23), libgcc1 (>= 1:3.0), libstdc++6 (>= 5), python-llvmlite (>= 0.19.0~), python-funcsigs, python-singledispatch Recommends: numba-doc Suggests: nvidia-cuda-toolkit Filename: pool-stretch/numba/python-numba_0.34.0-3~bpo9+0_amd64.deb Size: 911522 MD5sum: 3ecc91f41d8a606ef187fad1085a4db7 SHA1: d64ee2a7bf2588f31b8cc86b9c7b298f6fc0b963 SHA256: 9e0c89e0836509818843c0d587472fc6d2ddc2ef225f1c1d59e518f1934aa131 SHA512: 569818dbeea1f42b2acc49d50e8ff435ac81cbcd82ab4b330580a944895402d0cf1acccae5c96108d527774b1eaed7dd72eaae72399e3168043f7ceccabc3db6 Homepage: http://numba.pydata.org/ Description: native machine code compiler for Python 2 Numba compiles native machine code instructions from Python programs at runtime using the LLVM compiler infrastructure. It could be easily employed by decorating individual computation intensive functions in the Python code. Numba could significantly speed up the performance of computations, and optionally supports compilation to run on GPU processors through Nvidia's CUDA platform. It integrates well with the Python scientific software stack, and especially recognizes Numpy arrays. . This package contains the modules for Python 2. Package: python3-numba-dbgsym Architecture: amd64 Version: 0.34.0-3~bpo9+0 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: numba Maintainer: Debian Science Maintainers Installed-Size: 531 Depends: python3-numba (= 0.34.0-3~bpo9+0) Filename: pool-stretch/numba/python3-numba-dbgsym_0.34.0-3~bpo9+0_amd64.deb Size: 436384 MD5sum: 4081dc29c16f147ef8deea5bf53d4c9f SHA1: e1db444770921ec5a5dfb4b994abb84bf5114dd8 SHA256: 53f900c3dca0811f4027a485a4663853bdc419cec819ef17bdbca58e0714ab30 SHA512: 7babd3450d3e3c367a95ce99fd2451f28cff96e06c5ea1ae9db5d83dcbbe325e96dd40d3180c78f3bfd3cf6d0ddd2520f600719e1e24ab3195567ffac9363b0e Homepage: http://numba.pydata.org/ Description: Debug symbols for python3-numba Build-Ids: 0715694baca99aafa1bfaa1e3960b62b5529a5be 0e8cda0af342b23da11b0af6d77ce27cf00044e1 412549029ea7205d0f35844d69994aff6be46e7f 63ddb83a3810b02b7530e1be8ef439de4eecd90b 65eb42e63652d846aa03e515d6f70eaa64ff3a0d 8e67f8f1bbca45b9676d819a9424a15a03e49112 9a9221433f045aae58f16f69d94e9adbaf3e6922 a86012c96802010f532a0ff4cbf89bb53f636770 bf4132ea43554f3008cb25892f72f9dcba6bff7f f3cd395b6dfe651393960c26f33cc54f333d6985 Package: python3-numba Architecture: amd64 Version: 0.34.0-3~bpo9+0 Priority: optional Section: python Source: numba Maintainer: Debian Science Maintainers Installed-Size: 5386 Depends: python3 (<< 3.6), python3 (>= 3.5~), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3:any (>= 3.4~), libc6 (>= 2.23), libgcc1 (>= 1:3.0), libstdc++6 (>= 5), python3-llvmlite (>= 0.19.0~) Recommends: numba-doc Suggests: nvidia-cuda-toolkit Filename: pool-stretch/numba/python3-numba_0.34.0-3~bpo9+0_amd64.deb Size: 910726 MD5sum: 2a3b746dc58f47af8505760448ef05ec SHA1: 776bf65b3217be03e4eaa9e92aed50b2ea6ac329 SHA256: 3e01be7f1880738d3d430f9ed1969597328b412c81b634208f7d2d0d6a5b9a4d SHA512: aa6a8725c46975154fb2c976290cef3134ecb01b1c8f76ae4c06eca3dc718d0b585cfb0a2f04e329857c12c21de0cc19fa0d23031ec8e1a1d325101d4321395d Homepage: http://numba.pydata.org/ Description: native machine code compiler for Python 3 Numba compiles native machine code instructions from Python programs at runtime using the LLVM compiler infrastructure. It could be easily employed by decorating individual computation intensive functions in the Python code. Numba could significantly speed up the performance of computations, and optionally supports compilation to run on GPU processors through Nvidia's CUDA platform. It integrates well with the Python scientific software stack, and especially recognizes Numpy arrays. . This package contains the modules for Python 3. Package: onnx-tf-test-models Architecture: all Version: 1.2.0-1 Priority: optional Section: science Source: onnx-tensorflow (0.0) Maintainer: Adam Cecile Installed-Size: 1723334 Filename: pool-stretch/onnx-tf-test-models_all_distribs/onnx-tf-test-models_1.2.0-1_all.deb Size: 1611987830 MD5sum: 8766fefe20748a95cd0bd0237bff10a7 SHA1: a306efb11e993695d8206d5b2f36d24749cc63ab SHA256: a52e12ca016a37cd39fe0a84a2c649784a83bd6a1f9f66e6a4294448bd68acd1 SHA512: d9b03273dcd7fedb7c85c54cdc593ca6eda49db551c83f4b62bceb32323c4f5d535ef1a396c1dd18a0a9bc8a1144c0007dffc77c85ef6bc06fa54e6026386861 Homepage: https://github.com/onnx/onnx-tensorflow Description: Tensorflow models used in ONNX unit tests Set of TensorFlow models used during onnx-tensorflow unit tests Package: python-gym Architecture: amd64 Version: 0.11.0-0~0+Debian.stretch.9.7 Priority: optional Section: python Source: openai-gym (0.11.0-0~0) Maintainer: Adam Cecile Installed-Size: 4085 Depends: python-numpy, python-pyglet, python-requests, python-scipy, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Filename: pool-stretch/openai-gym/python-gym_0.11.0-0~0+Debian.stretch.9.7_amd64.deb Size: 1193698 MD5sum: f26ef97790b4d909a0b8e4d8b405b3aa SHA1: 039dd4c76b0e0eda4839da1ad420bed0a55a7fdb SHA256: 62498ed51e888a6a63abfc8d76c752801293d394daedcf3bd7eed0150eb60fc6 SHA512: ed3b3654a423b5c4ea9e48e4738ad8cec55a1e764cdaa9e22354c6c259695f1172647a8771dd2b6092739169594358cdf6e5e4671e80ac426d6fc5a2b854df26 Homepage: https://gym.openai.com/ Description: Develop and compare reinforcement learning algorithms (Python 2) Gym is a toolkit for developing and comparing reinforcement learning algorithms. . It makes no assumptions about the structure of your agent, and is compatible with any numerical computation library, such as TensorFlow or Theano. . The gym library is a collection of test problems environments that you can use to work out your reinforcement learning algorithms. . These environments have a shared interface, allowing you to write general algorithms. . This package installs the library for Python 2. Package: python3-gym Architecture: amd64 Version: 0.11.0-0~0+Debian.stretch.9.7 Priority: optional Section: python Source: openai-gym (0.11.0-0~0) Maintainer: Adam Cecile Installed-Size: 4086 Depends: python3-numpy (>= 1:1.11.0~), python3-pyglet, python3-requests (>= 2.0~), python3-scipy, python3-six, python3:any (>= 3.4~) Filename: pool-stretch/openai-gym/python3-gym_0.11.0-0~0+Debian.stretch.9.7_amd64.deb Size: 1193538 MD5sum: 6edc78e739858d1b31197526f5a533ab SHA1: 13e0aa5e922bd486a5f563455f96067e932f3350 SHA256: 890f0edd1df443d819cc43cd17ea3e7e2a31dcbd25d5cd35b40a20fdd014fe6b SHA512: 9644e74e39147c079ac1fb6b44096af4c15324a2d15dcb67d675b9bdf4c5e3f57fbeba29d388d741363402d80b9faae2e000433c73aa44f9b3b3c35ed040de3d Homepage: https://gym.openai.com/ Description: Develop and compare reinforcement learning algorithms (Python 3) Gym is a toolkit for developing and comparing reinforcement learning algorithms. . It makes no assumptions about the structure of your agent, and is compatible with any numerical computation library, such as TensorFlow or Theano. . The gym library is a collection of test problems environments that you can use to work out your reinforcement learning algorithms. . These environments have a shared interface, allowing you to write general algorithms. . This package installs the library for Python 3. Package: libopencv-calib3d-dev Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libdevel Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 2496 Depends: libopencv-calib3d3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-features2d-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-calib3d-dev_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 533006 MD5sum: 2c49233cd494d32e3a03808cde6d14c9 SHA1: 08869c10a11e4b3e4118263b1533616ed663e0f1 SHA256: d2c24f761e401f2a49d8d87ebcb43d99741d7acf84bffc6ebbb47b6bbf0ea852 SHA512: e911e85c452fac3a10a7f7ffd662dfbe5f1f5505172f41a81f31f6499006a6f4c97bee4c99abddc27ab987172cc61822b8e1b9b58a6538ddd893608f52de43b9 Homepage: https://opencv.org Description: development files for libopencv-calib3d3.2 This package contains the header files and static library needed to compile applications that use OpenCV (Open Computer Vision) Camera Calibration library. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-calib3d3.2-dbgsym Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: extra Section: debug Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 4300 Depends: libopencv-calib3d3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-calib3d3.2-dbgsym_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 4292070 MD5sum: c29c937ef66bac61c726a309179fc05c SHA1: 90484b4b848027e0690843c96e83cca8106ad6e2 SHA256: c32fdaed0bd20230c70cbf41faacb70e172693d16605d403487d0832f4591241 SHA512: 8e061a530e1dbecf6a5f1aa7cf63bc057c401f9ab148fabc83a27059104de3138793ef3e71d3f3a619b5eeeb6724e6e6710d529acbf616309ca71fcea233e8f2 Homepage: https://opencv.org Description: Debug symbols for libopencv-calib3d3.2 Build-Ids: 063d1463547fd50747eef50522250c2324caa7cc Package: libopencv-calib3d3.2 Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libs Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 1414 Depends: libopencv-features2d3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libc6 (>= 2.14), libgcc1 (>= 1:4.0), libopencv-core3.2, libopencv-flann3.2, libopencv-highgui3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libopencv-ml3.2, libopencv-videoio3.2, libstdc++6 (>= 5), libtbb2 Filename: pool-stretch/opencv/libopencv-calib3d3.2_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 459602 MD5sum: 629019a789e6c4a13bb5158c769ec103 SHA1: 0e5a34d5a8accb56dd038c13ddefde0ade8b7b43 SHA256: 67952227e99a4fdaf880440c83c074b258c6e4e8f5a0dd3374472e3da639f831 SHA512: 9cdfcb4ae93003c69b757efeefd02147d951fce7408e11193b28572a5d2c3ef5c45ea0ea979f1d22efc31986b44eea650f4fd59c45123a34ba6c1b052174f4b6 Homepage: https://opencv.org Description: computer vision Camera Calibration library This package contains the OpenCV (Open Computer Vision) Camera Calibration runtime libraries. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-contrib-dev Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libdevel Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 12525 Depends: libopencv-calib3d-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-contrib3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-core-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-features2d-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-flann-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-highgui-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-imgcodecs-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-imgproc-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-ml-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-objdetect-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-photo-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-shape-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-stitching-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-superres-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-video-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-videoio-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-videostab-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-viz-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-contrib-dev_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 1890630 MD5sum: b8643a241f68e080414e45bb97749c4a SHA1: 471075ba38347f92a6a91bcb7ca784e6ae21a067 SHA256: c7c4c2c014c1b4d6477eaa5d9ea7e64d9daa3222f572d52ccaf420cbfb71a10b SHA512: 5ce6e40a7cbee254966e9ef1a3429b2190e5361319ac1a98ca97d2bb00dc23b8db29e11fd40e322f162e1443651b2fcc4b6cea0a04d2c88f88f6ab3235a811f1 Homepage: https://opencv.org Description: development files for libopencv-contrib3.2 This package contains the header files and static library needed to compile applications that use OpenCV (Open Computer Vision) contrib library. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-contrib3.2-dbgsym Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: extra Section: debug Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 19062 Depends: libopencv-contrib3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-contrib3.2-dbgsym_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 18585228 MD5sum: 9582f572c625130aab11a7d54941fffb SHA1: 16c8d818d5a47e7c1cc5cd5ed41f9771970d2c9f SHA256: 162f2ad7a73a31523d928b686d60b33df09a9cfd97b011d26bb51046249483ee SHA512: c8754527d726cbf406f11ddc42de3319c57164bfc3da58bf49bda33fa6f42c99025763bfc2ac072fda2e56ee8b2d814e00a00e33f97c03097dfcd95a573e9485 Homepage: https://opencv.org Description: Debug symbols for libopencv-contrib3.2 Build-Ids: 07d388d5f63f760637f3614c99d2cb92a404de5e 0bc2d2b5a512552501bdeda8cac4f88f38d99a5f 18477bfccd1583172d902cf2bfeb2496b8d919fb 1d123a94a5d70de7eea5915836c8d7e5fb58e8b9 30b2306976598a5969d5861a79c6e0e6721920e2 3b637a611cb95dd23ba2607dbe334fc61a98748a 3c3cc9c935225bb69c43fe94025e229353eb474f 4b32279b6b6fbfc079698707f6178a6381545480 4b540ada63e93b2b86189d5c6e886aa198c7a7b7 5e29f6131161a5872101bcb483d214b02fa87e16 733fa03e374e7e316eab9f476a28c0f2dcdc4ce7 7b7fe636c031e57754e977bf7fdb7116e3b69b34 8d32167a2274069f1b180b909ac3aa00dad5b78b 8db7ba724be5bb070ac284ce38f0734a8ec39a46 93f69fe4b42ff33d2fabe3876475fabcdbc67b7f a6f53465bfe7bfbfcad6b542404c41b7e86cb226 d0b49e364632d61623c647444d8ed56cb641d039 d5f30dc57f8fa478c95563d490ecfe6a1fc57edd da5d7c8006cdb9ef6d986ab17621517dcb5f6638 de6b859506adbc18a4aaadb0d9473391eae1cbb3 e53144ece5592d497ae6cc1e9a41c6f848f4ccb0 e5a9e7f592ddd3291a2c4c9cbe7e206dade51a3a f0a6c61808434c878ee4a4e8155dd11ebdd77478 ffa97fa4bf87105ef3cd8932e6f7096057ce3847 Package: libopencv-contrib3.2 Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libs Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 5232 Depends: libopencv-calib3d3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-core3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-features2d3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-flann3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-highgui3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-imgcodecs3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-imgproc3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-ml3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-objdetect3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-photo3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-shape3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-stitching3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-superres3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-video3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-videoio3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-videostab3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-viz3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libc6 (>= 2.14), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:4.0), libgl1-mesa-glx | libgl1, libgl2ps1, libglu1-mesa | libglu1, libhdf5-100, libice6 (>= 1:1.0.0), libjpeg62-turbo (>= 1.3.1), liblept5, libpng16-16 (>= 1.6.2-1), libsm6, libstdc++6 (>= 5.2), libsz2, libtbb2, libtesseract3, libtiff5 (>= 4.0.3), libvtk6.3, libx11-6, libxext6, libxt6, zlib1g (>= 1:1.1.4) Filename: pool-stretch/opencv/libopencv-contrib3.2_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 1487330 MD5sum: acb7a6497bdc01a160a600e0a23d6d29 SHA1: 235802f13f7fbd9d707ca5db49fd29d5c731a8c9 SHA256: 73dfa2afa4a8a5d92e9e5facdfa77bd332e68463217e4cafa86145aab50fa5b0 SHA512: 5480cd7ae04f481e410cf017edd4eff340ba206e90aee2b2c33790a8c252e96492eccdefeded1c66f4e6d09bb0645bec12692361634b81af74a21721632c708c Homepage: https://opencv.org Description: computer vision contrlib library This package contains the OpenCV (Open Computer Vision) opencv_contrib runtime libraries. This package contain following contrlib libraries: . - aruco - bgsegm - bioinspired - ccalib - dnn - dpm - fuzzy - hdf - line_descriptor - optflow - plot - reg - saliency - stereo - structured_light - rgbd - surface_matching - tracking - datasets - text - face - ximgproc - xobjdetect - xphoto . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-core-dev Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libdevel Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 6568 Depends: libopencv-core3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libtbb-dev, zlib1g-dev Filename: pool-stretch/opencv/libopencv-core-dev_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 1121736 MD5sum: decba66c5aef6d99dcbfc40ac3a81354 SHA1: 1270249521970fc8daf570bde9401f8645c490c9 SHA256: e78761439d961518912b5e061bc1743d1506e3fd8da836eae533c8b1f44a3a96 SHA512: c854960f1b106c8a08652367436917e94d8561b5a92b250eca270a9139b4d35381aa7144c017fa8718c505d6bf6f23897452f7b9557ba12838f80692920c1ad1 Homepage: https://opencv.org Description: development files for libopencv-core3.2 This package contains the header files and static library needed to compile applications that use OpenCV (Open Computer Vision) core. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-core3.2-dbgsym Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: extra Section: debug Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 5989 Depends: libopencv-core3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-core3.2-dbgsym_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 5834630 MD5sum: 3cc050877d8d3811a0c8dd1c5a7ac91c SHA1: 33d47da422133a97e0bd02d6b980340b0f6009c1 SHA256: 5a0b958ffce00e34ae5b5ea6d8d822567b0edf27fb545de786c14c3dc9091038 SHA512: f424df87e86d12efc0d4fa97b7f1115331a58eded2f3604ffa773f3582e10f06b2b6fc6451f51b0b6be7a1cf2d409a90849eae3ac71d7cb872fb628c0b259998 Homepage: https://opencv.org Description: Debug symbols for libopencv-core3.2 Build-Ids: 011b021f8e9ca1ebcb0502a1733be9428f6633d9 Package: libopencv-core3.2 Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libs Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 2368 Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), libtbb2, zlib1g (>= 1:1.1.4) Filename: pool-stretch/opencv/libopencv-core3.2_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 739222 MD5sum: a4ce5e7732a4a692c3e4d7ae78a3e5d3 SHA1: f1421aca53c7b0dc0d7942c81f83e8c5a0610c1c SHA256: 1455381eeb4c825d127641253c7b702083ebcda20e51ddb43322aee28ef5e124 SHA512: 02055ebfbb61459749e2726873c2ed596ddfe220eb4f96aa76873861280bac57de64d97aad248ef812f4626271a640111b182d9dfe628d6e8347a87e4c910b5f Homepage: https://opencv.org Description: computer vision core library This package contains the OpenCV (Open Computer Vision) core runtime libraries. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-dev-dbgsym Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 2372 Depends: libopencv-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-dev-dbgsym_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 2284462 MD5sum: ae7e4fce516ccfbef23a350062ddb6a0 SHA1: 16e8bee6ede49d43a3fce642978cf5b4b06deac1 SHA256: 5d11054ffcf26f9355a91c41a1da7c0135188e3fce4d13dc715ea33cff8cc269 SHA512: 939a4e9ab4ed6facb828a117cafccfdcddf2d061863499664aa836f22c6fcfdfb24801f60c36acf930431c2cd45145c9c8fd63a719597db8147a8ed44d7abebe Homepage: https://opencv.org Description: Debug symbols for libopencv-dev Build-Ids: 24bab77a9d25b3d119aec8dbaa546f30519b4e3b 2dfa9409467c6d5ac69e2155d87496edd3858c90 44d88a0fe864f345291fe12a76563c95d65b1c23 89be7c645aea39a869acf8d0d661270c28eedb82 d16a09060369928604253f9f30830f6381b38cc9 e57083600e30046f96d55eb45422a3efe8111e75 f4274acfabce1a9e304fd625caf349987c4607d8 Package: libopencv-dev Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Priority: optional Section: libdevel Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 741 Depends: libopencv-calib3d-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-contrib-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-core-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-features2d-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-flann-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-highgui-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-imgcodecs-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-imgproc-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-ml-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-objdetect-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-photo-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-shape-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-stitching-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-superres-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-ts-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-video-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-videoio-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-videostab-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-viz-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv3.2-java (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), pkg-config, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libopencv-calib3d3.2, libopencv-contrib3.2, libopencv-core3.2, libopencv-features2d3.2, libopencv-flann3.2, libopencv-highgui3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libopencv-ml3.2, libopencv-objdetect3.2, libopencv-videoio3.2, libstdc++6 (>= 5.2), libtbb2 Recommends: opencv-data Suggests: opencv-doc Conflicts: libcv-dev, libcvaux-dev, libhighgui-dev Breaks: libopencv-core-dev (<= 2.3.1-8) Replaces: libcv-dev, libcvaux-dev, libhighgui-dev Filename: pool-stretch/opencv/libopencv-dev_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 242722 MD5sum: 7f7522e4397474534f88ddd2ab35a644 SHA1: e7e8ef1a0bf9885d6c2b2257ab64b051ba182688 SHA256: cc868afd58ddcde9ecfb1532b2fb8253d4b01f8edaa85b10c2360532c4e49ec2 SHA512: 870d77f1f121febe844c9fe89ef5665672a2e9ec2222db9d989da8a3c8cdf000312366d46e3ba646882f4d9a7eb97ba60b0d675096600a78e5749245aee461e1 Homepage: https://opencv.org Description: development files for opencv This is a metapackage providing development package necessary for development of OpenCV (Open Computer Vision). . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-features2d-dev Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libdevel Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 1449 Depends: libopencv-features2d3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-flann-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-highgui-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-ml-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-features2d-dev_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 290982 MD5sum: 0fdbedf6a619fcc4a183e53345577927 SHA1: 967d12549a077d18788fa86d16849c8bbc6e83ba SHA256: 3907009265f177f09619c33713f6a21eeda6ca888b5a592735e6f703c4c57770 SHA512: 6bcaba9cebc9cfb52bad4e7c65f23c0036f6902ab7f4b6123e950e0d521174f45f246f115ca8ed0b91043c003f2ae998747ea1801c72427a7bd34ad7017f92fe Homepage: https://opencv.org Description: development files for libopencv-features2d3.2 This package contains the header files and static library needed to compile applications that use OpenCV (Open Computer Vision) Feature Detection and Descriptor Extraction library. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-features2d3.2-dbgsym Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: extra Section: debug Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 2433 Depends: libopencv-features2d3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-features2d3.2-dbgsym_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 2400490 MD5sum: de95e04ecba3b3c15fb07f95b33be1b7 SHA1: 1074f2f5e98783a9c4fb6e6556da4b3bad39bdfd SHA256: 5091ca5c03a35b7a799de01b17d0e58f22ba6e375857cf252d2194cfc27030e2 SHA512: d6f3dcbd69937e1dafc5f4c3f697ac51d7212c0f78150741cb1ed1344f138eb6d6fc4192a2d71b7e1ba6b3710ec501f1fecf754661a300ccfc8567c031cde6cc Homepage: https://opencv.org Description: Debug symbols for libopencv-features2d3.2 Build-Ids: 1edfa368c0eeaf02a4b520d114acaff4a446f5f2 Package: libopencv-features2d3.2 Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libs Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 742 Depends: libopencv-flann3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-highgui3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-ml3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libopencv-core3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libopencv-videoio3.2, libstdc++6 (>= 5), libtbb2 Filename: pool-stretch/opencv/libopencv-features2d3.2_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 243462 MD5sum: b6a9cc6cc386ed026245044c853b808c SHA1: 83d9c01301052a3afc9566ae4038dcc42d7fd2ea SHA256: 75bdb41931ddd827effa3810b335a0f45b9feb81d07de0eca592062251276558 SHA512: c0f2d5b79bf6e1b39996b05af946085a365f74a7e2dceffc9601dec35bcdab250352ddd7914fbbf0071d7191b6da4a66063cab157b06eff89d9b87580a01d8fc Homepage: https://opencv.org Description: computer vision Feature Detection and Descriptor Extraction library This package contains the OpenCV (Open Computer Vision) Feature Detection and Descriptor Extraction runtime libraries. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-flann-dev Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libdevel Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 1393 Depends: libopencv-core-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-flann3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-flann-dev_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 174330 MD5sum: e83bbb70741e2408f588e7cb129cbc33 SHA1: cc19e8fae139d6be1ce0d07a892e1a1018a0a93e SHA256: 11a2b00cdb6883c741d97e34751ac8640ae409f10d8a3b5698c97b9e6263f3d1 SHA512: 6681402ba474fb7c3689e663fe629afd7f3da5f76ff4e5743b90a81ef3461c8f9fe1eb7e2d76c52a44f780de428917841ce739997fc1f95451c59015414b2c9a Homepage: https://opencv.org Description: development files for libopencv-flann3.2 This package contains the header files and static library needed to compile applications that use OpenCV (Open Computer Vision) Clustering and Search in Multi-Dimensional spaces library. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-flann3.2-dbgsym Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: extra Section: debug Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 930 Depends: libopencv-flann3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-flann3.2-dbgsym_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 852922 MD5sum: 3f3b1e6ac12cedbeec8c4c0481f994e4 SHA1: b49b4c457a13619d551ab8af6e4a6aa45004f8b2 SHA256: a79f490e1f71934ffd7412f8423f9f6e5105a697585235fb02dafe113c21eda3 SHA512: aff92321340ee201e51dfa66b18f99a7b6b7c5e06d4b5e2eb2edc30cd33efbc5a6d7b57d2730d6d6bd2b717b7a6c1feffa3e140a15f6b8323552e2422bda4c76 Homepage: https://opencv.org Description: Debug symbols for libopencv-flann3.2 Build-Ids: 0837e4db5e379867af7f24164a077fe82564e071 Package: libopencv-flann3.2 Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libs Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 346 Depends: libopencv-core3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), libtbb2 Filename: pool-stretch/opencv/libopencv-flann3.2_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 104632 MD5sum: 172aed62f9aba26b99b786181219a0dd SHA1: e5d2b95a9d7ca0f0819b7bab635027d9d7d8be70 SHA256: d235833ecbbbea06fadf5a8d55783cfa3c188abd07ed5a9997c3abe1d0092658 SHA512: 70581b948933ed515dfe610b1b06a725897ae8e8e5337fb7c584b8a634575ad6dce79caacb60b57c78c3381fa96922c90bc094fa16604494530dbdca2ed4f933 Homepage: https://opencv.org Description: computer vision Clustering and Search in Multi-Dimensional spaces library This package contains the OpenCV (Open Computer Vision) clustering and search in Multi-Dimensional spaces runtime libraries. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-highgui-dev Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libdevel Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 170 Depends: libavcodec-dev (>= 0.svn20080206), libavformat-dev, libavresample-dev, libdc1394-22-dev, libgphoto2-dev, libjpeg-dev, libopencv-highgui3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-videoio-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopenexr-dev (>= 1.4.0), libpng-dev, libraw1394-dev, libswscale-dev, libtiff-dev Filename: pool-stretch/opencv/libopencv-highgui-dev_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 44548 MD5sum: 101eee613b466c4729459b2dbd3abae2 SHA1: 18ed1a0c12ed8dff20f81a306737db3f92d386c2 SHA256: c40dbd0d5ec2d6bb40c01008fecc9892f7e1c5e75b885e781187753140a79a71 SHA512: f29579f9612fd208250ffb2f8e276dbbec8516af3bac927fa8f7c98ce27cc11559c964339890597c68fb4b2646f3d0e789a31710e865fdceade8ac10672584f8 Homepage: https://opencv.org Description: development files for libopencv-highgui3.2 This package contains the header files and static library needed to compile applications that use OpenCV (Open Computer Vision) High-level GUI and Media I/O library. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-highgui3.2-dbgsym Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: extra Section: debug Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 206 Depends: libopencv-highgui3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-highgui3.2-dbgsym_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 188122 MD5sum: 1c677a74573899335c7234bc0dedcfa6 SHA1: 94a9192d0e470b7201b6720593cb3be69cfbae46 SHA256: da97f320af079738bdf15ba5155ac526177db71d9b752989eefc515eb14dde76 SHA512: aab56931ca87238b5c9cf350b137e24b4a97b1257e44407231a34f7bfd98b25d29fb2a774113f97081305b97f9e6216294b3c4a78b521220500d4705c8f0d28a Homepage: https://opencv.org Description: Debug symbols for libopencv-highgui3.2 Build-Ids: 915738b6fa263d6a160a0ff1376572cfed4b9849 Package: libopencv-highgui3.2 Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libs Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 78 Depends: libopencv-videoio3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libatk1.0-0 (>= 1.12.4), libc6 (>= 2.14), libcairo-gobject2 (>= 1.10.0), libcairo2 (>= 1.2.4), libdc1394-22, libgcc1 (>= 1:3.0), libgdk-pixbuf2.0-0 (>= 2.22.0), libglib2.0-0 (>= 2.31.8), libgphoto2-6 (>= 2.5.10), libgphoto2-port12 (>= 2.5.10), libgtk-3-0 (>= 3.0.0), libopencv-core3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libpango-1.0-0 (>= 1.14.0), libpangocairo-1.0-0 (>= 1.14.0), libstdc++6 (>= 4.1.1), libtbb2 Filename: pool-stretch/opencv/libopencv-highgui3.2_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 32630 MD5sum: d9da6a0f6db9e50c4c83f17153f64c83 SHA1: 1c322c53ff8be838820a9e89ba195e08f8af88a6 SHA256: 9a3298fdaaa83db8473efd845f3bf8c2f68df7b875e18253cb7ef0592fcb1ecc SHA512: e08bc2310416ab47f0661bb527315330147b1adf8de89f939476748bde02b9f1539ca3f16a3d8aca7140ae9d1c3ba1c49ee03ef8cb8fc3da91f7d11f23fa8125 Homepage: https://opencv.org Description: computer vision High-level GUI and Media I/O library This package contains the OpenCV (Open Computer Vision) High-level GUI and Media I/O runtime libraries. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-imgcodecs-dev Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libdevel Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 793 Depends: libgdcm2-dev, libopencv-imgcodecs3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-imgproc-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-imgcodecs-dev_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 129180 MD5sum: c9905145619e9bd27b46c26cf9673e4d SHA1: f59a962ea34d0acc1fd29ffea2e6740b24aabfca SHA256: 8bc4f70a05dc88e7c30d8d0e7081f7166113084c1f11589d06f93cbd69617da0 SHA512: 12233da2037d7b5fd0592adf4cf62f3fe42788ed6ab59ba5cf88cd03fb688af2a1146a7419a5c26482c60a556849ecf6bc47c15aaf16ddb1acdb52b2f97aa890 Homepage: https://opencv.org Description: development files for libopencv-imgcodecs3.2 This package contains the header files and static library needed to compile applications that use OpenCV (Open Computer Vision) Image Codecs library. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-imgcodecs3.2-dbgsym Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: extra Section: debug Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 1481 Depends: libopencv-imgcodecs3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-imgcodecs3.2-dbgsym_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 1450612 MD5sum: 2a6e6e5ef3fd914cfcb2596c3dfa5a78 SHA1: 293d628d077fcc8429af40dc6c86dd494e44fe01 SHA256: 62d6af45ff26568a61f50e6d620949434a6feb0fa5a0de57a38705ace6ab653f SHA512: 2583f3e705dceec06f2acdfaf6d9b64461f9854263aeba62a30d3f302318268d530a0aee19863d84d6ead4d4866e19a4812ae7f6dbee3dc7c199e7e55b24be6c Homepage: https://opencv.org Description: Debug symbols for libopencv-imgcodecs3.2 Build-Ids: 61e77397daec784e3c803685cf33a3817352feb6 Package: libopencv-imgcodecs3.2 Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libs Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 250 Depends: libopencv-imgproc3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), gdal-abi-2-1-2, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libgdal20 (>= 2.0.1), libgdcm2.6, libilmbase12 (>= 2.2.0), libjasper4, libjpeg62-turbo (>= 1.3.1), libopencv-core3.2, libopenexr22, libpng16-16 (>= 1.6.2-1), libstdc++6 (>= 5.2), libtbb2, libtiff5 (>= 4.0.3), libwebp6 (>= 0.5.1), zlib1g (>= 1:1.1.4) Filename: pool-stretch/opencv/libopencv-imgcodecs3.2_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 93518 MD5sum: 9ce7ba5764ab6d42178951e4cbf2f8ae SHA1: 9abd6bb729d528069226b00f68ca5d9d1d3a7b60 SHA256: 4291088e825c14b9ed76160fe53f9937dfd9057dcb01d50e278e5d09424e8d11 SHA512: 6ed8e035f88a5df8a6ea450ce67f11c74ced1d5e40b7b706794dd74e2863d657ec93682746a42e9d14e937a6b0b2f726f08c6e87284d0ad25a5fc362054ac1a5 Homepage: https://opencv.org Description: computer vision Image Codecs library This package contains the OpenCV (Open Computer Vision) Image Codecs runtime libraries. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-imgproc-dev Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libdevel Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 5871 Depends: libopencv-core-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-imgproc3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-imgproc-dev_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 1029624 MD5sum: 48dc1e15ef4a71dfec75504acc2947c1 SHA1: b21137cfee8156f71829ad2aa47ccd767055c32d SHA256: ef0c07a8d28164bc23bec2cc25ce57772af44e52dd72c37f0fdb7ffaaa571e97 SHA512: 36fc0b09803807a4e1a9a000065c7121f39a7e0b7eb725915c491c159e2ccf49b3884f76df406ea9fb332bb978aaeefb0aa1429829dbc8a83316d034d878c5cb Homepage: https://opencv.org Description: development files for libopencv-imgproc3.2 This package contains the header files and static library needed to compile applications that use OpenCV (Open Computer Vision) Image Processing library. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-imgproc3.2-dbgsym Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: extra Section: debug Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 6599 Depends: libopencv-imgproc3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-imgproc3.2-dbgsym_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 6342954 MD5sum: b3f2fa0db49d2ad9aafa4d4ac756a08d SHA1: ad2948dd1d2b26c3e35766830a82d3e4bd44b257 SHA256: 6f2671f875d58b9250b364303ca6c815321706f1034327be32c044d04e75d683 SHA512: f93a2bf8d05d46d9253b9ab40a91c59ed3b970c324236034a6b3b2a8257c3379c2993227b3e374d024c4e0100af74e1dd5adcbd4e3a36a4b0e73ffa14be13029 Homepage: https://opencv.org Description: Debug symbols for libopencv-imgproc3.2 Build-Ids: 3c3594da282fc9f12e845e60189eb0a9aaae7826 Package: libopencv-imgproc3.2 Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libs Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 2851 Depends: libopencv-core3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5), libtbb2 Filename: pool-stretch/opencv/libopencv-imgproc3.2_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 846068 MD5sum: 19506b2e4b2a1bb3bcd6e7b00417dbbe SHA1: 1ff6613e60cb3a9dddf12dc283ea9850c0793a9a SHA256: f297d753220838cd6fcb5e837b080be1523a5373329eca4a9854ce82ac83b477 SHA512: 599091cedd34be7031bbb0c76b76cf60bed3fa15b9bdc021894d1d61fd9c3fb2b4f527d9cb948f9d870a042a587ea496e980ddde918ff88471052f505ad8248e Homepage: https://opencv.org Description: computer vision Image Processing library This package contains the OpenCV (Open Computer Vision) Image Processing runtime libraries. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-ml-dev Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libdevel Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 1581 Depends: libopencv-core-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-ml3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-ml-dev_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 301138 MD5sum: d341bd5ad122eaa7c7e0a80f1b678ea3 SHA1: ff2ef6c5e9e93dd3ab3edab768807bc744f96842 SHA256: dc172fba8c27d2382c213457291f9f4f23da3923bcc37096c4e925a4c26fc6f4 SHA512: 9878a8ba8226f4edcff82af3b8d7305e2a282a86cff723abebefe6c774eb716cb8b4ef8ba021702d009fd4732c56ca1e8058c99d11b7827ae810afe79e8fdc3a Homepage: https://opencv.org Description: development files for libopencv-ml3.2 This package contains the header files and static library needed to compile applications that use OpenCV (Open Computer Vision) Machine Learning library. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-ml3.2-dbgsym Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: extra Section: debug Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 2038 Depends: libopencv-ml3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-ml3.2-dbgsym_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 1999034 MD5sum: 6820772984442099588fbc9f2af78065 SHA1: c236ed2caf0f19abf1908c87a8fdbbe7d8946625 SHA256: cd8eeed5f0825ad24df21afb0588b9a320337845bb4d88788b3ea2bba0677f47 SHA512: 765cec39e2aefc274d95e158f5a4701ca085c9bbbfd128d00a6fbd702c3e590c983e117d98b778592b1d1e1733c21af10cf8ac60b50873e0c1c482742ad8defb Homepage: https://opencv.org Description: Debug symbols for libopencv-ml3.2 Build-Ids: c922d34e0bedcb60ccedb61ae928396875196df3 Package: libopencv-ml3.2 Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libs Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 710 Depends: libopencv-core3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), libtbb2 Filename: pool-stretch/opencv/libopencv-ml3.2_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 243308 MD5sum: aebf0d515f65844d31251bde2e13c218 SHA1: 49bf0c6411dc67bdc0eec47bde9a8345d8821029 SHA256: 5cad4ffdb21bdda2f5e1ea9690d2382254510864091269954b17442ae3139fc1 SHA512: a0f7f6d4dd53c0a071ce19e8f2b59bbfe261c7d4f8c3101bc10ae5ae337faa139f13993adba42f2efb9cf256d88332392beeec5818de19151b33dd787379b15b Homepage: https://opencv.org Description: computer vision Machine Learning library This package contains the OpenCV (Open Computer Vision) Machine Learning runtime libraries. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-objdetect-dev Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libdevel Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 750 Depends: libopencv-highgui-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-ml-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-objdetect3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-objdetect-dev_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 176344 MD5sum: 3aad38caecfa1b3a593d9a7ffeca83f6 SHA1: 9dcf4a3147313f18ab6bc96efe3cac7daf16821b SHA256: 61f928c5aaea37ad06398296b579a5e84312a53219bbe1715cb9e330a970c716 SHA512: aae48c4d26d0ad0e765cc2f0549d40bc3788df0fdcd912bfdcc535197014d53fd7aa42dd7fa757db9a097ac4fdc45caa460d67d3daaf97d9a1b9c3eb522107d3 Homepage: https://opencv.org Description: development files for libopencv-objdetect3.2 This package contains the header files and static library needed to compile applications that use OpenCV (Open Computer Vision) Object Detection library. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-objdetect3.2-dbgsym Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: extra Section: debug Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 1115 Depends: libopencv-objdetect3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-objdetect3.2-dbgsym_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 1083086 MD5sum: 025bdaddffa00da9e153eefd068a0ded SHA1: c781a931591eff47645bba6510830e3c13897429 SHA256: 33d02ac0e72c453a72778725dc0200cbe4440c5bd4d851f22c40f10134a8e5f3 SHA512: adcd8a5e706ecf0d9fa7d8fb539a852d9c7c9083a3f0be6938beae639d84b83d8cbfa619e118c8b69a2dc0f5cf338658758e65818934c7b24f192e65356b50d8 Homepage: https://opencv.org Description: Debug symbols for libopencv-objdetect3.2 Build-Ids: d9442d9acf90b33c3a68014f59023b8050e71f34 Package: libopencv-objdetect3.2 Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libs Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 374 Depends: libopencv-highgui3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-ml3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libopencv-core3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libopencv-videoio3.2, libstdc++6 (>= 6), libtbb2 Filename: pool-stretch/opencv/libopencv-objdetect3.2_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 152420 MD5sum: 2365c82d91fa47a0d9252e3637d35b3e SHA1: 2d577488c0bb0411f5c0f3e76e33199fd06f4464 SHA256: ccc35dca17e3d5cce651345702f022808da83fe58736c16c5d3dad6435b6fec8 SHA512: 14d38bfc7a36dd41d3baad974179ec90cb26be393bbbcaf0faff5f8610fc1c10ff553e9d78ebed429a6a8f8f45c3034ef848898054e22b6dcff2c5c90083a893 Homepage: https://opencv.org Description: computer vision Object Detection library This package contains the OpenCV (Open Computer Vision) Object Detection runtime libraries. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-photo-dev Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libdevel Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 1517 Depends: libopencv-imgproc-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-photo3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-photo-dev_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 234290 MD5sum: 7ca4f371674ad61a07647a840821b511 SHA1: 1de32c7bd54651d12b8f63436e1e24b057e2c669 SHA256: d48053a27b36d9fb1f74548ad8d37c224c127da2aa1a0b2d761a823e624c78b3 SHA512: b9401e0325d344efce3b6d1f6079515185abdeb5910ab54504686a72c809349b94701cccf6aff6fcd3adde39e408920132dfd6d24983bfff4ac9e7dd091ac799 Homepage: https://opencv.org Description: development files for libopencv-photo3.2 This package contains the header files and static library needed to compile applications that use OpenCV (Open Computer Vision) computational photography library. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-photo3.2-dbgsym Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: extra Section: debug Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 1772 Depends: libopencv-photo3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-photo3.2-dbgsym_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 1713934 MD5sum: 35b61ffae485213473af8469a980cced SHA1: 0c80ec020e45898fbdafa2c175866a246679498a SHA256: 92f5db2e214f5df2a2cb069f660aafa065806b78b05fd9f9fc4174d1e65209b6 SHA512: 6205121bdcd6d9383af0e29a79463be0cf298cc7ddb2c541b1e94899741972f1b7d6c05b81f5ddeba4ec67531277e1e0a3b3b5bdced7e29e1da118c614a67c1b Homepage: https://opencv.org Description: Debug symbols for libopencv-photo3.2 Build-Ids: e72adf5ce7281d1d8b0c2be474183a69fb2acc7f Package: libopencv-photo3.2 Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libs Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 794 Depends: libopencv-imgproc3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libopencv-core3.2, libstdc++6 (>= 5), libtbb2 Filename: pool-stretch/opencv/libopencv-photo3.2_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 201478 MD5sum: b0396603ed91b30c4bcc181b0840a1dc SHA1: b81dd9d8400fdf64f4be07ff94f4d76727ca29f1 SHA256: 972e45d1932baeee060c5f60573a37865748f78ea8c384bae63332829350850c SHA512: 45528d9022145281eac30adab8e172190e5727a6ea3b42bd277d81c675eac461e17b40766287e87bea82103d6924cc6d65269ed89162b96a645bccb88993c077 Homepage: https://opencv.org Description: computer vision computational photography library This package contains the OpenCV (Open Computer Vision) computational photography runtime libraries. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-shape-dev Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libdevel Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 477 Depends: libopencv-shape3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-video-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-shape-dev_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 84092 MD5sum: e57940243983a2627ecd0f2377899950 SHA1: 9d8bd98aafa8739a83866b7b6b6dfdccc2300010 SHA256: b26cdadec89ec13e130fe6cfa25b7e428d2ba283e8c262d5f4714f1b59dbcddd SHA512: 0f2906943d76a304b598d939301af6fb26827beaf1f1a60bd61b9abeb2b973091889af128d2c242966ebf8e9f3f0f89b16eacc826050121bd5ac48e7655fc932 Homepage: https://opencv.org Description: development files for libopencv-shape3.2 This package contains the header files and static library needed to compile applications that use OpenCV (Open Computer Vision) shape descriptors and matchers library. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-shape3.2-dbgsym Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: extra Section: debug Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 706 Depends: libopencv-shape3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-shape3.2-dbgsym_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 683624 MD5sum: 0c5d668bf234ef65d7f02abdca5f7d51 SHA1: 2f6103b795ca93a4d1e7445cf3c10cdb7c8cec5e SHA256: 45b80cc210234a46419142a966d88c976ced149dcb8c83f9ba5a6af63fc9c0be SHA512: 66c2952b8f5aac33b1a9c38409f8db3dc68473d9936c207ad6245c5488a98c8eacf0e18852a51aa8d649be1d30b5f78e68094961fb11026150e9634f27c2cdfc Homepage: https://opencv.org Description: Debug symbols for libopencv-shape3.2 Build-Ids: d273227a5fec99351aacb2e9dff83806ee52ea58 Package: libopencv-shape3.2 Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libs Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 214 Depends: libopencv-video3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libc6 (>= 2.4), libgcc1 (>= 1:3.0), libopencv-core3.2, libopencv-imgproc3.2, libstdc++6 (>= 5), libtbb2 Filename: pool-stretch/opencv/libopencv-shape3.2_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 70674 MD5sum: ade74776283230226ae7c240b80aa072 SHA1: a1d88e893e5d9d0ba52ef453cf3d1654396c2eeb SHA256: 051d6ba0eb52499da831c0b3c024f348ea837f6832ed507a79a80075512a0ba3 SHA512: 3f55e5f01e69e8c61258c5dec09dc2ef0211c9d1f34f63ad7d0f516ac13a13feaa7aa9ccac9b9b69763341cdaf057a26dd892ba77795f7b36a8da5d012b5d194 Homepage: https://opencv.org Description: computer vision shape descriptors and matchers library This package contains the OpenCV (Open Computer Vision) shape descriptors and matchers runtime libraries. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-stitching-dev Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libdevel Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 1239 Depends: libopencv-calib3d-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-objdetect-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-stitching3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-stitching-dev_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 222126 MD5sum: b0d9722cec40d2ca0f46f4fad6a17570 SHA1: db769cd7169c9e6b81aeab41a0057af98c420bf8 SHA256: b722688c5b6f544bb7501038b9584497cbb4fa4c5f4443d16c075387f7387771 SHA512: e0017e92212e44fb2d3203e16aa028b3c33aaedb4ebd251dda58629ab67a5c5c5038cc6f3012bb60f0dd2f9fa31d92a872a8a4d2c5d7c0cb80a1dd9f736615db Homepage: https://opencv.org Description: development files for libopencv-stitching3.2 This package contains the header files and static library needed to compile applications that use OpenCV (Open Computer Vision) image stitching library. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-stitching3.2-dbgsym Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: extra Section: debug Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 2076 Depends: libopencv-stitching3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-stitching3.2-dbgsym_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 2039436 MD5sum: e8fe8a3a7f3814797595250f195ef8e3 SHA1: f6277cf50b8361a03d332e992e13f8cf9abf9cf4 SHA256: e1560223018766cca7e33c62d54968ee48cc376f6f170de0d5f89e815c175292 SHA512: 2ba1d900a0f9232663da3c81549faa275d23a996234da352d2f5a3e791bc3b595f1ca5f34dc23962ae72abf0c902f768e54a0f1756d9ea29f5f001a4740c44ae Homepage: https://opencv.org Description: Debug symbols for libopencv-stitching3.2 Build-Ids: c2085e53d994d9e6be3f5164f2d74e30a0c08eff Package: libopencv-stitching3.2 Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libs Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 554 Depends: libopencv-calib3d3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-objdetect3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libopencv-core3.2, libopencv-features2d3.2, libopencv-flann3.2, libopencv-highgui3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libopencv-ml3.2, libopencv-videoio3.2, libstdc++6 (>= 5.2), libtbb2 Filename: pool-stretch/opencv/libopencv-stitching3.2_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 180922 MD5sum: c8e4f17d4306b74c31a92128cfea5c5b SHA1: 08ced8adfd76c1aed4e75847215d34e705467de9 SHA256: 742fc589b8bd27d9c257ab7baa42d19327ba0c3c509c3a9075cbda5292b435d6 SHA512: ddf024169ec2452fe5919e6f43313af3f8e00f6a5d196b1261f00863cf17ccf41a65fc41624380dff2d66e8d5a3a7435aa156bec98833da21d5c26f357719963 Homepage: https://opencv.org Description: computer vision image stitching library This package contains the OpenCV (Open Computer Vision) image stitching runtime libraries. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-superres-dev Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libdevel Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 332 Depends: libopencv-superres3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-video-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-videoio-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-superres-dev_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 65448 MD5sum: d773f294dc2f990599b85b85dbc4067c SHA1: d6bd7586bfdae482fef659b21768b15c7742cbde SHA256: f48897f3d4d198249da5b97333778765623042f9df5a6e5aa90b4c0b7daf486e SHA512: b21efaaac36f38fa8d71615f414098ea72d4b8beb78d5c93d29444f4c06f4e1b18b859b18ef993e1ce2af24ced2f25e91c4e30c693ed2ac2832c92ba8c1f724a Homepage: https://opencv.org Description: development files for libopencv-superres3.2 This package contains the header files and static library needed to compile applications that use OpenCV (Open Computer Vision) Super Resolution library. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-superres3.2-dbgsym Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: extra Section: debug Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 605 Depends: libopencv-superres3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-superres3.2-dbgsym_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 579924 MD5sum: cb668ac1fdab3d25935101c0f49fad72 SHA1: 1c0ebb6eeb313c7732e1799afbf7b549a24df6b1 SHA256: bb1a9bf3a1881c56d952c8b9e0d562499344c0f9b806a921dc15a42c6aafec28 SHA512: cb1ae35e9c09f5b34b64fe22044cdc6d659da5c9f6bf236ec520b42b92fb05cb0b6bc063cb8892536c2cb588d9afa35a147b5cca9368c4861d311f62fb2aa5f2 Homepage: https://opencv.org Description: Debug symbols for libopencv-superres3.2 Build-Ids: 02c5d8daeaf69bff38794638cb00b7cbc6e2cd58 Package: libopencv-superres3.2 Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libs Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 174 Depends: libopencv-video3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-videoio3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libc6 (>= 2.4), libgcc1 (>= 1:3.0), libopencv-core3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libstdc++6 (>= 5), libtbb2 Filename: pool-stretch/opencv/libopencv-superres3.2_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 55624 MD5sum: 7fb83dd0471e1e3756a6ed55388c5edc SHA1: 8890453a593fc66993b303bc0b1a06ad5cb6f9f5 SHA256: b06830323c981eb5f57406f433e51585e068a339e68f76aff97130fdc3343737 SHA512: cca8c0ca1661e719fa97bd9d2354e343dd5e1c8564a7c3a03275548595559741f76cf18d6ccac40cef9fa7a9b325839cbe8ad36e261b1ac4558f654a83dcb818 Homepage: https://opencv.org Description: computer vision Super Resolution library This package contains the OpenCV (Open Computer Vision) Super Resolution runtime libraries. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-ts-dev Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libdevel Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 1628 Depends: libopencv-core-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-ts-dev_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 282758 MD5sum: 950744b91f84ebd9a9a059855eaac5d5 SHA1: bc1288843ec2b05db5ff8b523ff86123f67495b7 SHA256: 8f03be70c215f44c4866624651d431c4f9bcb1195decb6bff49a76908e333b89 SHA512: 1f45746189577d5efdf6145b2856a4061c4716adb1314a1dc85a717e78d1009dc4091d318334821fd20c967f14fbdbc83ba820bc2b8666c7724a07def2a2dc8d Homepage: https://opencv.org Description: development files for TS library of OpenCV (Open Computer Vision) This package contains the header files and static library needed to compile applications that use OpenCV (Open Computer Vision) TS library. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-video-dev Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libdevel Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 777 Depends: libopencv-imgproc-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-video3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-video-dev_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 160424 MD5sum: a577be8b6592399031635a06788d29f9 SHA1: 5bdfd701b0053484870311e295fdda7d48983c0d SHA256: b8a3a2048b1d9cd5e4dcd89452e8ee0a69f68f78bce4e95f99fbcc2cf3c40e76 SHA512: ffddf800744679c8f773589d5ea4322f4f8fa765f1924bd0f1edeab5519a0ac7567222eee58fb0508ef770f14565fd85cd1a677de22f6a8d5fa5825b375ddbd0 Homepage: https://opencv.org Description: development files for libopencv-video3.2 This package contains the header files and static library needed to compile applications that use OpenCV (Open Computer Vision) Video analysis library. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-video3.2-dbgsym Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: extra Section: debug Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 1048 Depends: libopencv-video3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-video3.2-dbgsym_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 1022568 MD5sum: e4b6a17b7afdb2ad5e742b0383a7e5bf SHA1: 1bea67cf62a5c44d22b93c5729ee126f93de73b9 SHA256: bbb793bc02e94b23e4899c3b7539d8d16d28b0314fc1c7c0dfda68a29c8d922b SHA512: 79faa0ecfaf0c4a74b606792e5fd412e15dd75a36c754caac097aecfa78274611648076d100150492016f887fbb161ae08cf17c75d09308e206f6e51edb9ce0c Homepage: https://opencv.org Description: Debug symbols for libopencv-video3.2 Build-Ids: 598c959e978ad76257fd7b402fd3f258ae546b32 Package: libopencv-video3.2 Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libs Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 414 Depends: libopencv-imgproc3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libopencv-core3.2, libstdc++6 (>= 5), libtbb2 Filename: pool-stretch/opencv/libopencv-video3.2_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 133940 MD5sum: 92ad9160e7f2736e3897ec1e83a3b5ab SHA1: 75e06cd7f30ef44fd0eb470713e1631de135123b SHA256: c365edc213ce2ea952ea83e9fa56e953af0a5eeb48d2d27df7d8789fb33aa0b4 SHA512: 69aaf2a399fa1c03ca8a318b56ab4f553ae9774c9e275d871a3140ffcf2ec284ee1be7ebc3441f785543a8e65f96965d1492e5a9708b1d4ab997b5f5dbf12dac Homepage: https://opencv.org Description: computer vision Video analysis library This package contains the OpenCV (Open Computer Vision) Video analysis runtime libraries. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-videoio-dev Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libdevel Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 608 Depends: libavresample-dev, libgphoto2-dev, libopencv-imgcodecs-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-videoio3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-videoio-dev_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 123814 MD5sum: 28e1de918701fc763d93d0235ced735a SHA1: 8a9db044ed233ee58be22f308a5afc465071bc63 SHA256: 136bc216540d7a7b7d7ecab208c8cabb7e8b8bee4c080b2756f68ae734579da3 SHA512: 10cfc419b764bcafbafd4d93708014d17309a812d75df0db11483dee204e759606fada61338b5bf63c22f848d84fa9679fb91e3000ba8a68f0de962e92ecff18 Homepage: https://opencv.org Description: development files for libopencv-videoio3.2 This package contains the header files and static library needed to compile applications that use OpenCV (Open Computer Vision) Video I/O library. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-videoio3.2-dbgsym Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: extra Section: debug Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 850 Depends: libopencv-videoio3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-videoio3.2-dbgsym_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 819222 MD5sum: cb07bed232e1fd9f1222e27dffd0160a SHA1: 4163a0d0db7afd5ff5fe2553bf9afe0bc12b281f SHA256: 8d3162bc53e10f3c2dd875df5c6ac5ccd4704e294358fb314d4881f0c543f7c9 SHA512: ca2c19145d2db5eb6244c6dd4f4e801758cb01cd8dcfbd4711641900274cb758f2bfb4d15a28538cd4779f8ecc5bb3f363fddbb17d61b630547d1865e87e5d14 Homepage: https://opencv.org Description: Debug symbols for libopencv-videoio3.2 Build-Ids: 77e031bff5ef4835901c9b236aebc098b9647a0c Package: libopencv-videoio3.2 Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libs Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 242 Depends: libopencv-imgcodecs3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libatk1.0-0 (>= 1.12.4), libavcodec57 (>= 7:3.2.7) | libavcodec-extra57 (>= 7:3.2.7), libavformat57 (>= 7:3.2.7), libavresample3 (>= 7:3.2.7), libavutil55 (>= 7:3.2.7), libc6 (>= 2.15), libcairo-gobject2 (>= 1.10.0), libcairo2 (>= 1.2.4), libdc1394-22, libgcc1 (>= 1:3.0), libgdk-pixbuf2.0-0 (>= 2.22.0), libglib2.0-0 (>= 2.16.0), libgphoto2-6 (>= 2.5.10), libgphoto2-port12 (>= 2.5.10), libgtk-3-0 (>= 3.0.0), libopencv-core3.2, libopencv-imgproc3.2, libpango-1.0-0 (>= 1.14.0), libpangocairo-1.0-0 (>= 1.14.0), libstdc++6 (>= 5.2), libswscale4 (>= 7:3.2.7), libtbb2 Filename: pool-stretch/opencv/libopencv-videoio3.2_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 90814 MD5sum: 5165acbe5b674e5ffc2d7e6541797764 SHA1: fd89115ad1f7777bfcb4237de69950ebcdf55fd1 SHA256: ff673f816f5a82d237347f987333597ac9e821cccfd26d96a0a80759f24550a7 SHA512: 49d1a6df3d33fa0b3e0ae4cac2325a3359a7dd9e1b27959069ed057ce8aa25714179c647a83ee56db9f52d2a915b7f5f681b31ea9ce93b775a3f026621e04462 Homepage: https://opencv.org Description: computer vision Video I/O library This package contains the OpenCV (Open Computer Vision) Video I/O runtime libraries. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-videostab-dev Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libdevel Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 759 Depends: libopencv-calib3d-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-photo-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-video-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-videostab3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-videostab-dev_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 130752 MD5sum: 15ea98f5f9a8b7b9ac78adaafdfcbb9d SHA1: cedaa0281e0f8758bc3551fdaccb738f6a1eb870 SHA256: a751d9a951d8de31043130d243caac8b260a0ac9fd9d93dc614e4e3aea1da10c SHA512: c73ac330eab61e6238baa995033c1c9167e3c5ae3bdd26693ba72de1bd2c31ab01798c11db4b372c06c82f0c5fd655d845597ebc9364c6f307b59d0b4030a171 Homepage: https://opencv.org Description: development files for libopencv-videostab3.2 This package contains the header files and static library needed to compile applications that use OpenCV (Open Computer Vision) video stabilization library. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-videostab3.2-dbgsym Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: extra Section: debug Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 1107 Depends: libopencv-videostab3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-videostab3.2-dbgsym_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 1078142 MD5sum: 6f9c465a44b3300287c669a5688e8947 SHA1: 8da29775c5e6a6fdaf46290296f495ced8913adf SHA256: 105b2f6c6df01a2f402303ac59602615215fe66d1ed9cd578389fe938616dcbb SHA512: f1489d82e33e395c4b451dcac1bd4536271fb1715fe9cd2afb322c49b3573ec0657599507475860a14e049dc943cdfc4461c3a0fcc1ed95009e2b10b91d02ecd Homepage: https://opencv.org Description: Debug symbols for libopencv-videostab3.2 Build-Ids: 3902074bff5e5cbc229f79fb9cecd16fd2feeb87 Package: libopencv-videostab3.2 Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libs Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 354 Depends: libopencv-calib3d3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-photo3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-video3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libopencv-core3.2, libopencv-features2d3.2, libopencv-flann3.2, libopencv-highgui3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libopencv-ml3.2, libopencv-videoio3.2, libstdc++6 (>= 5), libtbb2 Filename: pool-stretch/opencv/libopencv-videostab3.2_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 108294 MD5sum: 4cdd848856df2abcf6fdc4d5473518ae SHA1: dcf2f3e4c7a82ddc09fa7a54bdfc31967b3bf0f3 SHA256: fbdf03cf705ed19788dd3bc1e17a5d001af02a44289d5a417e80f74937874a4d SHA512: e3842a06e9fcb15eac4cf0de1c330ee41f448fa4a6b2b79301f9e4b1a276688a4c7ce490d3beb6d1f9f93f9b9601a0d9774b8278972d411cb7b62a08713cfa53 Homepage: https://opencv.org Description: computer vision video stabilization library This package contains the OpenCV (Open Computer Vision) video stabilization runtime libraries. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-viz-dev Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libdevel Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 1119 Depends: libopencv-core-dev (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-viz3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-viz-dev_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 166848 MD5sum: c2f3c2835477ea48d8aeccf17f32f7fe SHA1: 3b3366cbab552de62a1778f0def9cf7e7ddc8c44 SHA256: 3d505deabeeed076486d258e4f806e9eedd01283dbb315ca3d11392c9d72d83b SHA512: 23e1758f2336ec9148a3c434945b0bb641717285412e2debdbeb3ab12e53ef272ca99585157ba5595a65a728675db277124f6594b69a509c4ae6c25baf499390 Homepage: https://opencv.org Description: development files for libopencv-viz3.2 This package contains the header files and static library needed to compile applications that use OpenCV (Open Computer Vision) 3D data visualization library. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv-viz3.2-dbgsym Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: extra Section: debug Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 1386 Depends: libopencv-viz3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv-viz3.2-dbgsym_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 1329538 MD5sum: 9e53b654c00cc3ee2fbc845680274aeb SHA1: d7c3d98d1c7c3385aeacbde4011e0468d5006b6d SHA256: a3422ccded162d80ba4504c5b123d6c7aa1b60368b703f658bd06a49915d8805 SHA512: b3d3d51b4a67a459db7a4bec8cd20bfe635289fc168510da53f3684b3192137688d8b763a415d0eef3bf2c0b47859d6ca91ff4e76bbb2f6261ef788179ded016 Homepage: https://opencv.org Description: Debug symbols for libopencv-viz3.2 Build-Ids: a995f914a39df97e4f6314ea01382333df9e9876 Package: libopencv-viz3.2 Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Multi-Arch: same Priority: optional Section: libs Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 402 Depends: libopencv-core3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libvtk6.3, libc6 (>= 2.14), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:3.0), libgl1-mesa-glx | libgl1, libgl2ps1, libglu1-mesa | libglu1, libice6 (>= 1:1.0.0), libjpeg62-turbo (>= 1.3.1), libpng16-16 (>= 1.6.2-1), libsm6, libstdc++6 (>= 5), libtbb2, libtiff5 (>= 4.0.3), libx11-6, libxext6, libxt6, zlib1g (>= 1:1.1.4) Filename: pool-stretch/opencv/libopencv-viz3.2_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 128818 MD5sum: 567e46f26e78fb12915d2b52f9248da5 SHA1: f91c22013eab7cc9812da4bf26ee88b82894d0b7 SHA256: ec6768e0c8a2386fea6843b765fd568f58ac09fd0cbc4b7a8a91ee8aa5cb05db SHA512: 9f15c30d0a9dce6481ea1665848c911c742d9260b3e5fa3ac7e2250456d2838df1903ff265eb6e578009157e7959ab17c9d50b49ee5fd815f6d94e964baf4184 Homepage: https://opencv.org Description: computer vision 3D data visualization library This package contains the OpenCV (Open Computer Vision) 3D data visualization runtime libraries. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv3.2-java Architecture: all Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Priority: optional Section: java Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 438 Depends: libopencv3.2-jni (>= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Breaks: libopencv2.4-java Replaces: libopencv2.4-java Filename: pool-stretch/opencv/libopencv3.2-java_3.2.0+dfsg-4.1+Debian.stretch.9.1_all.deb Size: 399106 MD5sum: c0485d022b1d511549eeb68af3aa0edf SHA1: 2b5447567453a2198c5f385669711ffcd4551b17 SHA256: af87d7e097a8a17d0c54f7ca7934d6a59a98406ec5276fed00ae345b367e913d SHA512: bd1fe1acd6436be06626217dfdfb4405a2223ba64b029b0e66e53e98b2fe99db7a4e901b804acd0fec24f2bbf2ea315c0bcad84e7f392754b700f5d76cbf4649 Homepage: https://opencv.org Description: Java bindings for the computer vision library This package contains Java bindings for the OpenCV (Open Computer Vision) library. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libopencv3.2-jni-dbgsym Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 2426 Depends: libopencv3.2-jni (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/libopencv3.2-jni-dbgsym_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 2294926 MD5sum: bf450e997f30d2e50cadcf881a6be6d7 SHA1: 750a826657c0dc00bb32f928dcbe40f2bca6213e SHA256: d20ca066d80f405fa5eb8849aa8f0e6edf9843ee3b9b565518ed62cc8349ed84 SHA512: 567cfe477f29018fb1eeb408755eb7f5d216a3bfd355acde7818e034b87f579d37dea3880a2a8cfcaa2613c77ca38236daee590b1fce0e8c490a799c721bf14c Homepage: https://opencv.org Description: Debug symbols for libopencv3.2-jni Build-Ids: 60009066e89742c7060bf0d642c3d9ffea7e9f27 Package: libopencv3.2-jni Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Priority: optional Section: devel Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 953 Depends: libopencv-calib3d3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-highgui3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-ml3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-objdetect3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-photo3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-video3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libopencv-contrib3.2, libopencv-core3.2, libopencv-features2d3.2, libopencv-flann3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libopencv-videoio3.2, libopencv-viz3.2, libstdc++6 (>= 5.2), libtbb2 Filename: pool-stretch/opencv/libopencv3.2-jni_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 201062 MD5sum: 2fcb7bfa5085a2a767af011cf15a5825 SHA1: 2917af2035f68f5b5119852d553e2b5efc64fa54 SHA256: e05c40266d8876fbf88921e6964b00f1f3780600f52853d1c7c174cfb76bf969 SHA512: 54ed78eeb9be20a6fbda99cfbaa001742ce8fd08ba56d38354ab5f7ef701a10111e08b32b3454e92f8863b93036f2a4c91c39992b01e36d23a8b764723c9246a Homepage: https://opencv.org Description: Java jni library for the computer vision library This package contains Java jni library for the OpenCV (Open Computer Vision) library. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: opencv-data Architecture: all Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Priority: optional Section: libdevel Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 9848 Breaks: libopencv-dev (<= 2.3.1-12) Filename: pool-stretch/opencv/opencv-data_3.2.0+dfsg-4.1+Debian.stretch.9.1_all.deb Size: 1207804 MD5sum: ae0493bdd9412ed446d5391257de6d35 SHA1: ad944862ccbbef1aef2e8c6ad5258a74d4394ce7 SHA256: b5fca6118d15374da2ee7e559e6f947048fa9b15992a1bf003e3519a50822a99 SHA512: 217fa0ef39c20537d8d6c77379717e93b46fbfeebfe118d52da2a8f9002d49eaac95be160c523bcb611a4dd0398eb6a6afb66c6eddb1af55786fbba2b1ead954 Homepage: https://opencv.org Description: development data for opencv This package contains some architecture independent files useful for development with OpenCV. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: opencv-doc Architecture: all Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Priority: optional Section: doc Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 174172 Depends: libjs-jquery, libjs-mathjax Conflicts: libopencv-doc Replaces: libopencv-doc Filename: pool-stretch/opencv/opencv-doc_3.2.0+dfsg-4.1+Debian.stretch.9.1_all.deb Size: 59836226 MD5sum: 7b642b25bb17c0c26655464958229a0a SHA1: 934a06010d1c579ff97d8ffdc54549ac7c57a08d SHA256: c45c6158551a12591b9eeafcf8a7ff3b3b93ea5c8de8c9599b9defb253163625 SHA512: f4b3ef4598134163c6ba6aaba690fad2ddc27eb82dff0bbb42cc60cb4f79a6db20d7a2ef6abad202ff8b530c2f448db873eb0320282d4c9520388f4dac896178 Homepage: https://opencv.org Description: OpenCV documentation and examples This package contains the OpenCV documentation and example programs. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: python-opencv-dbgsym Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 3253 Depends: python-opencv (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/python-opencv-dbgsym_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 2985608 MD5sum: 4fdba820460829e136f66ffd98f70569 SHA1: 95af5478928459ddfa97164c30576c508ccbb4e9 SHA256: e21c2da3ccefb033b5831049373397aa41571433e44d4a55fde68cba8426d1a3 SHA512: 16a9c67cb4b9a34accd897bd840fa11a915f46550cf871cc2261d993c444e449ebff8d6950b1977deb150e93e58b87e8e740df446a20d17bbf03a8d16b01ab95 Homepage: https://opencv.org Description: Debug symbols for python-opencv Build-Ids: a00d5dc01a8c83bff4f9c80193aa515ef36a1426 Package: python-opencv Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Priority: optional Section: python Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 2915 Depends: libopencv-calib3d3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-features2d3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-flann3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-highgui3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-imgcodecs3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-imgproc3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-ml3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-objdetect3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-photo3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-shape3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-stitching3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-superres3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-video3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-videoio3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-videostab3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-viz3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python:any (<< 2.8), python:any (>= 2.7~), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libopencv-contrib3.2, libopencv-core3.2, libstdc++6 (>= 5.2) Filename: pool-stretch/opencv/python-opencv_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 546408 MD5sum: a821a4acd86bfe81f7637b47b08d5e42 SHA1: 5a7327e12a115d013f4a48e97b1a1b488b11e90e SHA256: 6d4411569dfb821a982d7335a2697a419f2026c83cce48cd41c387efa32d8399 SHA512: 6ecbec4f2866aad2f9064c86c535f8db0da549572e1e0fc8acadcbd8d80b71a489a65dd232746d031e8e6953fd93bccba36f01800a0b86994d31a553f09c6a80 Homepage: https://opencv.org Description: Python bindings for the computer vision library This package contains Python bindings for the OpenCV (Open Computer Vision) library. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: python3-opencv-dbgsym Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 3256 Depends: python3-opencv (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1) Filename: pool-stretch/opencv/python3-opencv-dbgsym_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 2988420 MD5sum: 4cad2d9488da6af175646b3705c98e38 SHA1: ef28be87dcc944b2a62495734b7d5d4919ff61fa SHA256: f508b502dfed1c938b63803ace60b334eb62fec551857629535d3b6f0432c382 SHA512: e089fb7eb99c9096fd8d8b3a0fad8eb2cdafe1cc623879d5848a21eb49f65542abc3a63d9423c0733d707bc12a488827fc97f8cb9bb0f7b8aadd382247526ab0 Homepage: https://opencv.org Description: Debug symbols for python3-opencv Build-Ids: 7bcb039118e8713330d2490c0d220fe03988c4b5 Package: python3-opencv Architecture: amd64 Version: 1:3.2.0+dfsg-4.1+Debian.stretch.9.1 Priority: optional Section: python Source: opencv (1:3.2.0+dfsg-4.1) Maintainer: Debian Science Team Installed-Size: 2913 Depends: libopencv-calib3d3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-features2d3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-flann3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-highgui3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-imgcodecs3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-imgproc3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-ml3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-objdetect3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-photo3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-shape3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-stitching3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-superres3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-video3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-videoio3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-videostab3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), libopencv-viz3.2 (= 1:3.2.0+dfsg-4.1+Debian.stretch.9.1), python3 (<< 3.6), python3 (>= 3.5~), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libopencv-contrib3.2, libopencv-core3.2, libstdc++6 (>= 5.2) Filename: pool-stretch/opencv/python3-opencv_3.2.0+dfsg-4.1+Debian.stretch.9.1_amd64.deb Size: 547512 MD5sum: f1fb7c3a4c06d8e89d48e5aeeafca278 SHA1: ba84cc79a3e4c757de7bfacbfacbd5aebe13b3a0 SHA256: a52f85389d6db49f81ae725b404229c960b3e65b6c96e12546c2fe21cf638b1b SHA512: 45aca4983931e8a8a75a2e9e0072d578e2fb72a71c42e6b0a15814d078246573277d207822c68f174b49d09f89bee418a81e1a2cc7bf3c3e744069dc8ed6aab4 Homepage: https://opencv.org Description: Python 3 bindings for the computer vision library This package contains Python 3 bindings for the OpenCV (Open Computer Vision) library. . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction. Package: libprotobuf-dev Architecture: amd64 Version: 3.6.1-4~bpo9+1 Multi-Arch: same Priority: optional Section: libdevel Source: protobuf Maintainer: Laszlo Boszormenyi (GCS) Installed-Size: 9229 Depends: zlib1g-dev, libprotobuf17 (= 3.6.1-4~bpo9+1), libprotobuf-lite17 (= 3.6.1-4~bpo9+1) Filename: pool-stretch/protobuf/libprotobuf-dev_3.6.1-4~bpo9+1_amd64.deb Size: 1065102 MD5sum: 208fdadc429007fe8acc3e15ec9fda5a SHA1: c05a44b662babfb68db978968b6a28ca5db098b7 SHA256: 90e50552afffed4eb269abda949effa7d47a3bbcaf928b08ac0d33f8ec69bc52 SHA512: e1838a36c709ae4ea0a76b3ce57567433de60f452d6b1edf16eea51bbbf712ed318d7b151c9e307a8a743ade17c8044c7f528d52bf0ba378b31d382e4f29110d Homepage: https://github.com/google/protobuf/ Description: protocol buffers C++ library (development files) and proto files Protocol buffers are a flexible, efficient, automated mechanism for serializing structured data - similar to XML, but smaller, faster, and simpler. You define how you want your data to be structured once, then you can use special generated source code to easily write and read your structured data to and from a variety of data streams and using a variety of languages. You can even update your data structure without breaking deployed programs that are compiled against the "old" format. . Google uses Protocol Buffers for almost all of its internal RPC protocols and file formats. . This package contains the development headers and static libraries needed for writing C++ applications. Includes well known proto type files. Package: libprotobuf-dev Architecture: amd64 Version: 3.6.1.3-2~bpo+Debian.stretch.9.8 Multi-Arch: same Priority: optional Section: libdevel Source: protobuf (3.6.1.3-2~bpo) Maintainer: Laszlo Boszormenyi (GCS) Installed-Size: 9229 Depends: zlib1g-dev, libprotobuf17 (= 3.6.1.3-2~bpo+Debian.stretch.9.8), libprotobuf-lite17 (= 3.6.1.3-2~bpo+Debian.stretch.9.8) Filename: pool-stretch/protobuf/libprotobuf-dev_3.6.1.3-2~bpo+Debian.stretch.9.8_amd64.deb Size: 1064348 MD5sum: ae21f8fd885bbe3d4e7210e8ec3bd1f5 SHA1: e45a07308557dbd238c2da488f1b3e8dbc52558d SHA256: a4f57c0e1c2a14674ab6375eae3f4572b5c8b34972946f6af765bae7770412e7 SHA512: 1a231bc92617c3a938d70e47ee462a4fe8749a272358d98bebda181d84c2fd86998e988afb844e6f9b04b9dc27ab191aab40de2e32448185cf5d6ba5f424fedc Homepage: https://github.com/google/protobuf/ Description: protocol buffers C++ library (development files) and proto files Protocol buffers are a flexible, efficient, automated mechanism for serializing structured data - similar to XML, but smaller, faster, and simpler. You define how you want your data to be structured once, then you can use special generated source code to easily write and read your structured data to and from a variety of data streams and using a variety of languages. You can even update your data structure without breaking deployed programs that are compiled against the "old" format. . Google uses Protocol Buffers for almost all of its internal RPC protocols and file formats. . This package contains the development headers and static libraries needed for writing C++ applications. Includes well known proto type files. Package: libprotobuf-java Architecture: all Version: 3.6.1-4~bpo9+1 Priority: optional Section: java Source: protobuf Maintainer: Laszlo Boszormenyi (GCS) Installed-Size: 1059 Filename: pool-stretch/protobuf/libprotobuf-java_3.6.1-4~bpo9+1_all.deb Size: 970986 MD5sum: a8f690c6acec3f214384909a9ecc091f SHA1: e29f740f1a7231adc2381e6bac126c9a33439b0c SHA256: 765b1c0c29d3e01ddb206a1371b07e46b812aa227dd9bb87aec3f7cdceb34c36 SHA512: 45b248451fcf75de0d9464ccea3c28479bc8c8da1616a47b5fda5025a368e404c2bdaafcb58147e7fa15e9520e4c44f2b852efc5639d068eb0125e5876fa0831 Homepage: https://github.com/google/protobuf/ Description: Java bindings for protocol buffers Protocol buffers are a flexible, efficient, automated mechanism for serializing structured data - similar to XML, but smaller, faster, and simpler. 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Package: libprotobuf-java Architecture: all Version: 3.6.1.3-2~bpo+Debian.stretch.9.8 Multi-Arch: foreign Priority: optional Section: java Source: protobuf (3.6.1.3-2~bpo) Maintainer: Laszlo Boszormenyi (GCS) Installed-Size: 1059 Filename: pool-stretch/protobuf/libprotobuf-java_3.6.1.3-2~bpo+Debian.stretch.9.8_all.deb Size: 971296 MD5sum: 5844a77430598b258d94779245a8b251 SHA1: 0391b1355debd6a17993d84627171639a50d7e86 SHA256: 0f588fc746ab7ae56ea76188c4cc218a4e0e86766a8e52256d882c687894a6db SHA512: e4317454b0511095fda042c77ce6ff08f6c08f5b9a71926cc745dbde0fc7253cd67be1a35eb4ffe3bfeee67e989fc7e57c23f6b2a136789a0e2c14567afe8bd2 Homepage: https://github.com/google/protobuf/ Description: Java bindings for protocol buffers Protocol buffers are a flexible, efficient, automated mechanism for serializing structured data - similar to XML, but smaller, faster, and simpler. 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Package: libprotobuf-lite17-dbgsym Architecture: amd64 Version: 3.6.1.3-2~bpo+Debian.stretch.9.8 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: extra Section: debug Source: protobuf (3.6.1.3-2~bpo) Maintainer: Laszlo Boszormenyi (GCS) Installed-Size: 1209 Depends: libprotobuf-lite17 (= 3.6.1.3-2~bpo+Debian.stretch.9.8) Filename: pool-stretch/protobuf/libprotobuf-lite17-dbgsym_3.6.1.3-2~bpo+Debian.stretch.9.8_amd64.deb Size: 1140190 MD5sum: 1c785fbf6ab0119280a01e560ca8f907 SHA1: 7ff999138753ddbbf4f169731fdfac4e922c7e1c SHA256: 89c8dfa971253fc871c7e49c2c274b0e8dd4df2927a5347ca64a1b08c4cc080b SHA512: 1ee24b214f03a4ca7d19f8af5bc9816acf2f509b91a965bcfeeb74ed1f0db91fdf5b66fd4b46b9568ab5b3ac9fd48dd7fda621f30dc27861657fec91785d4dcd Homepage: https://github.com/google/protobuf/ Description: Debug symbols for libprotobuf-lite17 Build-Ids: a42b3ad33db630dbedf0283049c3b23b50576fb6 Package: libprotobuf-lite17 Architecture: amd64 Version: 3.6.1-4~bpo9+1 Multi-Arch: same Priority: optional Section: libs Source: protobuf Maintainer: Laszlo Boszormenyi (GCS) Installed-Size: 476 Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), zlib1g (>= 1:1.1.4) Filename: pool-stretch/protobuf/libprotobuf-lite17_3.6.1-4~bpo9+1_amd64.deb Size: 161150 MD5sum: 40cd9372b0b5f65b5b88e997ba5d99a8 SHA1: 15bcf18d4832dcade2ab392c809fb8f0808387d1 SHA256: 57c28e353143d4c08cc59d6243a0660935cf7349dec66714e86245efd8177947 SHA512: e983450c0b1a54c09036df223b772e64e13ee31c045d11dcd16f81b85d42d61aa15a9533b04308d9083a11039fdfb7570cb0210018f7d34185a297e567b86cd2 Homepage: https://github.com/google/protobuf/ Description: protocol buffers C++ library (lite version) Protocol buffers are a flexible, efficient, automated mechanism for serializing structured data - similar to XML, but smaller, faster, and simpler. You define how you want your data to be structured once, then you can use special generated source code to easily write and read your structured data to and from a variety of data streams and using a variety of languages. You can even update your data structure without breaking deployed programs that are compiled against the "old" format. . Google uses Protocol Buffers for almost all of its internal RPC protocols and file formats. . This package contains the runtime library needed for C++ applications whose message definitions have the "lite runtime" optimization setting. Package: libprotobuf-lite17 Architecture: amd64 Version: 3.6.1.3-2~bpo+Debian.stretch.9.8 Multi-Arch: same Priority: optional Section: libs Source: protobuf (3.6.1.3-2~bpo) Maintainer: Laszlo Boszormenyi (GCS) Installed-Size: 476 Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), zlib1g (>= 1:1.1.4) Filename: pool-stretch/protobuf/libprotobuf-lite17_3.6.1.3-2~bpo+Debian.stretch.9.8_amd64.deb Size: 161646 MD5sum: bbdd63de8571d33fd8b019ac82447e81 SHA1: bbd59ac9ddc03b5dd599b5914a0a3b85c5f6ea34 SHA256: 57c779d4935ee260c2aae8d672ed02431d0a8533321e73b9a3dcbf2863c8f9e2 SHA512: 9778c72998c85c294da4d825df68f58cb8e71019351543ff7500d0b23688a5f12216ba3c43f875c76297d511b43f16f6ba3198afec48fc3df15813ff3ade8138 Homepage: https://github.com/google/protobuf/ Description: protocol buffers C++ library (lite version) Protocol buffers are a flexible, efficient, automated mechanism for serializing structured data - similar to XML, but smaller, faster, and simpler. 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Package: libprotobuf17-dbgsym Architecture: amd64 Version: 3.6.1.3-2~bpo+Debian.stretch.9.8 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: extra Section: debug Source: protobuf (3.6.1.3-2~bpo) Maintainer: Laszlo Boszormenyi (GCS) Installed-Size: 8926 Depends: libprotobuf17 (= 3.6.1.3-2~bpo+Debian.stretch.9.8) Filename: pool-stretch/protobuf/libprotobuf17-dbgsym_3.6.1.3-2~bpo+Debian.stretch.9.8_amd64.deb Size: 8472890 MD5sum: 0f8df574604690de69ba0a59dfd714ca SHA1: 1cf4e9ccd5e79b070024de7549caade7df1ef479 SHA256: fdf08fbfc5b03f1d2eb8c1b60f1d1d7cfb0659cdc7a5db1440fcff4cdd69a500 SHA512: 85c33177d863ccb83cab5bab00860447187376951a1f4616d4fd17695d313b35e38b0271b3891bde4afb50dab2cd1077c8e3a37569a8f7a3a17b3e6634c6a4f7 Homepage: https://github.com/google/protobuf/ Description: Debug symbols for libprotobuf17 Build-Ids: fb9e99c89d10e89ed1013b3d20849234ebd5bfa3 Package: libprotobuf17 Architecture: amd64 Version: 3.6.1-4~bpo9+1 Multi-Arch: same Priority: optional Section: libs Source: protobuf Maintainer: Laszlo Boszormenyi (GCS) Installed-Size: 2903 Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), zlib1g (>= 1:1.1.4) Filename: pool-stretch/protobuf/libprotobuf17_3.6.1-4~bpo9+1_amd64.deb Size: 779480 MD5sum: 67558e28ca78116b73e0eee6d14176fd SHA1: 0d339ed717e02fc784e684c7a64f9dbe890cee69 SHA256: b6ac0602deb00b70b3eb081928f98734cdb20408a552fadd3d50d68731f0e873 SHA512: 522009e6d171d1b73daea456fd3aa72dec4b692326b8569294b6e761d8a854b7376470308bb12b079e9204bd0f8f87737bf23e579e66aadb6264f8866fd65419 Homepage: https://github.com/google/protobuf/ Description: protocol buffers C++ library Protocol buffers are a flexible, efficient, automated mechanism for serializing structured data - similar to XML, but smaller, faster, and simpler. You define how you want your data to be structured once, then you can use special generated source code to easily write and read your structured data to and from a variety of data streams and using a variety of languages. You can even update your data structure without breaking deployed programs that are compiled against the "old" format. . Google uses Protocol Buffers for almost all of its internal RPC protocols and file formats. . This package contains the runtime library needed for C++ applications. Package: libprotobuf17 Architecture: amd64 Version: 3.6.1.3-2~bpo+Debian.stretch.9.8 Multi-Arch: same Priority: optional Section: libs Source: protobuf (3.6.1.3-2~bpo) Maintainer: Laszlo Boszormenyi (GCS) Installed-Size: 2903 Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), zlib1g (>= 1:1.1.4) Breaks: cura-engine (<< 1:3.3.0-2.1+b1), libarcus3 (<< 3.3.0-2) Filename: pool-stretch/protobuf/libprotobuf17_3.6.1.3-2~bpo+Debian.stretch.9.8_amd64.deb Size: 779530 MD5sum: cb5ca9606e5f30606aaa7d0953db2cd2 SHA1: f9d4d09f4628fc27da3bc4aa40013ba5c1900dd8 SHA256: c6b2ddc7048b198c5d0af3fc1c4443a663a2e978e722a6ed48efa8a554f3f3f8 SHA512: fb3218570deae3b2da51e0a582303ec98a0a0315517606694f02373b8cf21135a0d5b9086e272fc6299a462a1ba22bf6664d876fc9eec97c779508dda542e486 Homepage: https://github.com/google/protobuf/ Description: protocol buffers C++ library Protocol buffers are a flexible, efficient, automated mechanism for serializing structured data - similar to XML, but smaller, faster, and simpler. 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Package: libprotoc-dev Architecture: amd64 Version: 3.6.1-4~bpo9+1 Multi-Arch: same Priority: optional Section: libdevel Source: protobuf Maintainer: Laszlo Boszormenyi (GCS) Installed-Size: 5383 Depends: libprotoc17 (= 3.6.1-4~bpo9+1), libprotobuf-dev (= 3.6.1-4~bpo9+1) Breaks: libprotobuf-dev (<< 2.1.0) Replaces: libprotobuf-dev (<< 2.1.0) Filename: pool-stretch/protobuf/libprotoc-dev_3.6.1-4~bpo9+1_amd64.deb Size: 753490 MD5sum: 1e5ffa4c45fd2e4a8eec34b64fb65211 SHA1: c94417bee1d91124da436e375adfeeb9e4a1b19c SHA256: cdf5b8b228f0495fa5860c74604c7ab123ff080195453f859eea027ddfd1627b SHA512: f39e3b4613b80cfd407d58c77bb663992a18f9f7b7023bcce5a718b3c65a99251be1df71dbdb259c0a3d6e2c97f328670df958ecb3bfd50f19cf99b536692744 Homepage: https://github.com/google/protobuf/ Description: protocol buffers compiler library (development files) Protocol buffers are a flexible, efficient, automated mechanism for serializing structured data - similar to XML, but smaller, faster, and simpler. 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Package: libprotoc17 Architecture: amd64 Version: 3.6.1.3-2~bpo+Debian.stretch.9.8 Multi-Arch: same Priority: optional Section: libs Source: protobuf (3.6.1.3-2~bpo) Maintainer: Laszlo Boszormenyi (GCS) Installed-Size: 2493 Depends: libc6 (>= 2.15), libgcc1 (>= 1:3.0), libprotobuf17, libstdc++6 (>= 5.2), zlib1g (>= 1:1.1.4) Filename: pool-stretch/protobuf/libprotoc17_3.6.1.3-2~bpo+Debian.stretch.9.8_amd64.deb Size: 669268 MD5sum: 71486287f58300d14b8632b8c999e591 SHA1: 64dffb85fa89c731a56ab3d9027a2f4bbb573658 SHA256: 92f90f08efb5cd9afbf535515e688d4c76f66feefcc6653345a3bf1ec2d6d3f7 SHA512: d0944399bb32ef24aebaa58c162e380b5878045fcd72f04cf11d80633a7f017064a86bb9be98e822e4043e7c1e208a4ca9fac56385261f47bad9ac407aa2e4db Homepage: https://github.com/google/protobuf/ Description: protocol buffers compiler library Protocol buffers are a flexible, efficient, automated mechanism for serializing structured data - similar to XML, but smaller, faster, and simpler. 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Python-Version: 3.5 Package: python3-protobuf Architecture: amd64 Version: 3.6.1.3-2~bpo+Debian.stretch.9.8 Priority: optional Section: python Source: protobuf (3.6.1.3-2~bpo) Maintainer: Laszlo Boszormenyi (GCS) Installed-Size: 2733 Provides: python3.5-protobuf Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libprotobuf17, libstdc++6 (>= 5.2), python3 (<< 3.6), python3 (>= 3.5~), python3-pkg-resources, python3-six (>= 1.9), python3:any (>= 3.3.2-2~) Filename: pool-stretch/protobuf/python3-protobuf_3.6.1.3-2~bpo+Debian.stretch.9.8_amd64.deb Size: 333346 MD5sum: 1354403ff949a56d7515de1486c470d2 SHA1: 0a7d96dd23e9533c277b6dba2b93cb9127fa206e SHA256: 707a4fe86e81258c455ed3003e15d7b79280fde3a33e7d5a3a87ccd092a30c71 SHA512: aa43d6ad38d5d182a12aa6d6f0cafbd24a62f04b6234dd494c7812349e8658f7609d9c138ce85b9a26595eafc2bea9096606fc85a747109631e1ea58ac2f98cc Homepage: https://github.com/google/protobuf/ Description: Python 3 bindings for protocol buffers Protocol buffers are a flexible, efficient, automated mechanism for serializing structured data - similar to XML, but smaller, faster, and simpler. You define how you want your data to be structured once, then you can use special generated source code to easily write and read your structured data to and from a variety of data streams and using a variety of languages. You can even update your data structure without breaking deployed programs that are compiled against the "old" format. . Google uses Protocol Buffers for almost all of its internal RPC protocols and file formats. . This package contains the Python 3 bindings for the protocol buffers. You will need the protoc tool (in the protobuf-compiler package) to compile your definition to Python classes, and then the modules in this package will allow you to use those classes in your programs. Python-Version: 3.5 Package: ruby-google-protobuf-dbgsym Architecture: amd64 Version: 3.6.1.3-2~bpo+Debian.stretch.9.8 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: extra Section: debug Source: protobuf (3.6.1.3-2~bpo) Maintainer: Laszlo Boszormenyi (GCS) Installed-Size: 444 Depends: ruby-google-protobuf (= 3.6.1.3-2~bpo+Debian.stretch.9.8) Filename: pool-stretch/protobuf/ruby-google-protobuf-dbgsym_3.6.1.3-2~bpo+Debian.stretch.9.8_amd64.deb Size: 397452 MD5sum: 2d0f30e89ccdaf29e3249b0a414b9df9 SHA1: 69429ecd12077a8f74d63385c5e965bb42a834de SHA256: ce69ce48431394ec4a392440ad16856b5f2e4c1d835e4a3810657d14c60aa0a5 SHA512: d15b07397d5a11cbc1bd13c998dcdb34c4d6444f6b1ef5ba01a887b97675d85355c53a46bf9a8f96110b5eb102ca52ec777eeae5c1c88b9d01f765e23b629bd9 Homepage: https://github.com/google/protobuf/ Description: Debug symbols for ruby-google-protobuf Build-Ids: 539df9be84203483058ebb0ebf543d769f81aba7 Ruby-Versions: ruby2.3 Package: ruby-google-protobuf Architecture: amd64 Version: 3.6.1-4~bpo9+1 Multi-Arch: same Priority: optional Section: ruby Source: protobuf Maintainer: Laszlo Boszormenyi (GCS) Installed-Size: 489 Depends: ruby | ruby-interpreter, libc6 (>= 2.11), libgmp10, libruby2.3 (>= 2.3.0~preview2) Conflicts: ruby-google-protobuf (<< 3.6.0~) Replaces: ruby-google-protobuf (<< 3.6.0~) Filename: pool-stretch/protobuf/ruby-google-protobuf_3.6.1-4~bpo9+1_amd64.deb Size: 162370 MD5sum: 1b4879ecad56816779a9928bc01f50ff SHA1: 89b043a4d3296400fd2834ee3ea2215b7429b3ee SHA256: b86fd6b06f1284618c6927369b4605fe1f3f858a4da0313d55d51c3704cafa3f SHA512: f4cb967aa3ef7bcbc329f3cc61afc4e31d92ee882252f62c78b7b87acaa5fe19cc677d4d0bbdce67eaf8a23cd96c15c6e499c32567d815802e0debde6038af85 Homepage: https://github.com/google/protobuf/ Description: Protocol Buffers Protocol Buffers are Google's data interchange format. . This library contains the Ruby extension that implements Protocol Buffers functionality in Ruby. . The Ruby extension makes use of generated Ruby code that defines message and enum types in a Ruby DSL. You may write definitions in this DSL directly, but we recommend using protoc's Ruby generation support with .proto files. The build process in this directory only installs the extension; you need to install protoc as well to have Ruby code generation functionality. Ruby-Versions: ruby2.3 Package: ruby-google-protobuf Architecture: amd64 Version: 3.6.1.3-2~bpo+Debian.stretch.9.8 Multi-Arch: same Priority: optional Section: ruby Source: protobuf (3.6.1.3-2~bpo) Maintainer: Laszlo Boszormenyi (GCS) Installed-Size: 489 Depends: ruby | ruby-interpreter, libc6 (>= 2.11), libgmp10, libruby2.3 (>= 2.3.0~preview2) Conflicts: ruby-google-protobuf (<< 3.6.0~) Replaces: ruby-google-protobuf (<< 3.6.0~) Filename: pool-stretch/protobuf/ruby-google-protobuf_3.6.1.3-2~bpo+Debian.stretch.9.8_amd64.deb Size: 162896 MD5sum: 17dd9ea4dca0046e769dec7c3c8bfcbb SHA1: e2abc08b40a4d487bf552137b3df8bc88d850fc2 SHA256: d366909d4deb34eca7a8f0fcfd4e88f0ada9db82f35429abb08d639529c94593 SHA512: f96ac180214ce6697900c947d22b1d4fbebf909b614ffbf15e7f580a8bf94d2eb870463d19ce1dd69c05fecc8220e17473a4a41bcbe3e13538f0567d42395fa5 Homepage: https://github.com/google/protobuf/ Description: Protocol Buffers Protocol Buffers are Google's data interchange format. . This library contains the Ruby extension that implements Protocol Buffers functionality in Ruby. . The Ruby extension makes use of generated Ruby code that defines message and enum types in a Ruby DSL. You may write definitions in this DSL directly, but we recommend using protoc's Ruby generation support with .proto files. The build process in this directory only installs the extension; you need to install protoc as well to have Ruby code generation functionality. Ruby-Versions: ruby2.3 Package: python-pyglet Architecture: all Version: 1.3.0-1.1~0+Debian.stretch.9.7 Priority: optional Section: python Source: pyglet (1.3.0-1.1~0) Maintainer: Debian Python Modules Team Installed-Size: 6941 Provides: python2.7-pyglet Depends: libgl1 | libgl1-mesa-swx11, libglu1 | libglu1-mesa, libgtk2.0-0, python-ctypes | python (>= 2.5), python-future, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: libasound2 | libopenal1 Filename: pool-stretch/pyglet/python-pyglet_1.3.0-1.1~0+Debian.stretch.9.7_all.deb Size: 1436602 MD5sum: 9bdaa9aea2d8cd7cf7b21a483700a96e SHA1: e75ec2414c3a18308ba4ce54534226d3f8ad326b SHA256: 22a21760f4127ca37e4ed5bbcf3a480245f69530583195c83c04da27cc287919 SHA512: 0c6a62545448ca1b760da021db60cdf980699fce4338ab29015e0d6b19b99d397e22b8ae1c1fe0bb6e02a532ce0b5bc10d6900dac427515630ab7eb625b38506 Homepage: http://www.pyglet.org Description: cross-platform windowing and multimedia library (Python 2) This library provides an object-oriented programming interface for developing games and other visually-rich applications with Python. pyglet has virtually no external dependencies. For most applications and game requirements, pyglet needs nothing else besides Python, simplifying distribution and installation. It also handles multiple windows and fully aware of multi-monitor setups. . pyglet might be seen as an alternative to PyGame. Package: python3-pyglet Architecture: all Version: 1.3.0-1.1~0+Debian.stretch.9.7 Priority: optional Section: python Source: pyglet (1.3.0-1.1~0) Maintainer: Debian Python Modules Team Installed-Size: 6936 Depends: libgl1 | libgl1-mesa-swx11, libglu1 | libglu1-mesa, libgtk2.0-0, python3-future, python3:any (>= 3.4~) Recommends: libasound2 | libopenal1 Filename: pool-stretch/pyglet/python3-pyglet_1.3.0-1.1~0+Debian.stretch.9.7_all.deb Size: 1435694 MD5sum: 7a3d0339e67b9fb68438ffd18e9fd4ef SHA1: 1c8238c81bbfe3612ba24de23e59b6f0c9b9be27 SHA256: 05e2570f9e2823a6cb37eb413bd3bb17d15b62161593d2d6f9d10ad61310b991 SHA512: 4ca32f09014a33dffca11ca4de823cb0a3930b0808d4806639f9596062d39c28dca7f28d6cb9c23036ec05744e288e378408338059a401cf6d1c540b641d6027 Homepage: http://www.pyglet.org Description: cross-platform windowing and multimedia library (Python 3) This library provides an object-oriented programming interface for developing games and other visually-rich applications with Python. pyglet has virtually no external dependencies. For most applications and game requirements, pyglet needs nothing else besides Python, simplifying distribution and installation. It also handles multiple windows and fully aware of multi-monitor setups. . pyglet might be seen as an alternative to PyGame. Package: python-astor-doc Architecture: all Version: 0.7.1-1+Debian.stretch.9.5 Priority: optional Section: doc Source: astor (0.7.1-1) Maintainer: Adam Cecile Installed-Size: 148 Depends: libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Filename: pool-stretch/python-astor/python-astor-doc_0.7.1-1+Debian.stretch.9.5_all.deb Size: 39050 MD5sum: d08a0c49aa78aa6cf0086062564f201f SHA1: dd538f38840ae47b65e980ac4839a73fe91bb5c7 SHA256: 2f68fd4eabd7cc7fc2cc424b271b36815ccc2f16f89286774e195994b1a0e822 SHA512: 2cff05992d601eebaaa309ccf73a5c751a2a5ac0b95ab34e6b831bc2ac9ccf816d55ae2488e2150f81e5fd1b40b49ac339ef4af08b7357c9fe2c3d792f28310b Homepage: https://github.com/berkerpeksag/astor Description: Easy manipulation of Python source via the AST (common documentation) Astor is designed to allow easy manipulation of Python source via the AST. . There are some other similar libraries, but astor focuses on the following areas: * Round-trip back to Python via Armin Ronacher's codegen.py module: - Modified AST doesn’t need linenumbers, ctx, etc. or otherwise be directly compileable - Easy to read generated code as, well, code * Dump pretty-printing of AST - Harder to read than round-tripped code, but more accurate to figure out what is going on - Easier to read than dump from built-in AST module * Non-recursive treewalk - Sometimes you want a recursive treewalk (and astor supports that, starting at any node on the tree), but sometimes you don't need to do that. astor doesn’t require you to explicitly visit sub-nodes unless you want to - You can add code that executes before a node's children are visited - You can add code that executes after a node's children are visited - You can add code that executes and keeps the node's children from being visited (and optionally visit them yourself via a recursive call) - Write functions to access the tree based on object names and/or attribute names - Enjoy easy access to parent node(s) for tree rewriting . This is the common documentation package. Package: python-astor-doc Architecture: all Version: 0.7.1-2+Debian.stretch.9.8 Priority: optional Section: doc Source: astor (0.7.1-2) Maintainer: Adam Cecile Installed-Size: 149 Depends: libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Filename: pool-stretch/python-astor/python-astor-doc_0.7.1-2+Debian.stretch.9.8_all.deb Size: 39464 MD5sum: e1c18d678edd9f00205d4059120f99bc SHA1: 3898a56bb76d8251935406ae51a273f2163d018a SHA256: b70db6089fce31c7e9a54c41f7a22685effc1e62143ee4d14ca33fa11b68fbac SHA512: 572b126a2787eee88a1f3813390d1e1e5491251ec7b3063dce599c02644a5b9aa371c244221d02dd2a87623d7aeab226f01d923054821f4338d7b46e2baabc1e Homepage: https://github.com/berkerpeksag/astor Description: Easy manipulation of Python source via the AST (common documentation) Astor is designed to allow easy manipulation of Python source via the AST. . There are some other similar libraries, but astor focuses on the following areas: * Round-trip back to Python via Armin Ronacher's codegen.py module: - Modified AST doesn’t need linenumbers, ctx, etc. or otherwise be directly compileable - Easy to read generated code as, well, code * Dump pretty-printing of AST - Harder to read than round-tripped code, but more accurate to figure out what is going on - Easier to read than dump from built-in AST module * Non-recursive treewalk - Sometimes you want a recursive treewalk (and astor supports that, starting at any node on the tree), but sometimes you don't need to do that. astor doesn’t require you to explicitly visit sub-nodes unless you want to - You can add code that executes before a node's children are visited - You can add code that executes after a node's children are visited - You can add code that executes and keeps the node's children from being visited (and optionally visit them yourself via a recursive call) - Write functions to access the tree based on object names and/or attribute names - Enjoy easy access to parent node(s) for tree rewriting . This is the common documentation package. Package: python-astor Architecture: all Version: 0.7.1-1+Debian.stretch.9.5 Priority: optional Section: python Source: astor (0.7.1-1) Maintainer: Adam Cecile Installed-Size: 8843 Depends: python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-astor-doc Filename: pool-stretch/python-astor/python-astor_0.7.1-1+Debian.stretch.9.5_all.deb Size: 1507916 MD5sum: cfdb6b356467f2824533f3e2585f34e0 SHA1: 2cc0224c5af502c28c2b355799a45946a5cf7a30 SHA256: b93a92eca617cf7015e97e8ffb9aa7882ee156cf1ef5c74d51dab91ab89de46b SHA512: f80902d7fb4cf070316868295aadd719ccd490931ff12fad48abf1f73ff7774dbe93a58d622a62eb01bf87fd8ffe5a3bb4c4173bf10a6a8474172915c9975544 Homepage: https://github.com/berkerpeksag/astor Description: Easy manipulation of Python source via the AST (Python 2) Astor is designed to allow easy manipulation of Python source via the AST. . There are some other similar libraries, but astor focuses on the following areas: * Round-trip back to Python via Armin Ronacher's codegen.py module: - Modified AST doesn’t need linenumbers, ctx, etc. or otherwise be directly compileable - Easy to read generated code as, well, code * Dump pretty-printing of AST - Harder to read than round-tripped code, but more accurate to figure out what is going on - Easier to read than dump from built-in AST module * Non-recursive treewalk - Sometimes you want a recursive treewalk (and astor supports that, starting at any node on the tree), but sometimes you don't need to do that. astor doesn’t require you to explicitly visit sub-nodes unless you want to - You can add code that executes before a node's children are visited - You can add code that executes after a node's children are visited - You can add code that executes and keeps the node's children from being visited (and optionally visit them yourself via a recursive call) - Write functions to access the tree based on object names and/or attribute names - Enjoy easy access to parent node(s) for tree rewriting . This package installs the library for Python 2. Package: python-astor Architecture: all Version: 0.7.1-2+Debian.stretch.9.8 Priority: optional Section: python Source: astor (0.7.1-2) Maintainer: Adam Cecile Installed-Size: 98 Depends: python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-astor-doc Filename: pool-stretch/python-astor/python-astor_0.7.1-2+Debian.stretch.9.8_all.deb Size: 25242 MD5sum: 608fe6699ea900fa7d493c21332eaecf SHA1: 3c413d6c7fc1eab8009721af9d20a42e4e77515f SHA256: c8cadd600f4f80004753a65d2bf17d9d9c098d6e81b9d2e2cf8f902a741544bc SHA512: befa4450fdcf8fdf54cd7659223e81df41176e4974c369b5abca73e6c7d4f15d1cb1c9264ab84266ed37f0ad314f35157e238f1ed5c5bb8b27767340f8871170 Homepage: https://github.com/berkerpeksag/astor Description: Easy manipulation of Python source via the AST (Python 2) Astor is designed to allow easy manipulation of Python source via the AST. . There are some other similar libraries, but astor focuses on the following areas: * Round-trip back to Python via Armin Ronacher's codegen.py module: - Modified AST doesn’t need linenumbers, ctx, etc. or otherwise be directly compileable - Easy to read generated code as, well, code * Dump pretty-printing of AST - Harder to read than round-tripped code, but more accurate to figure out what is going on - Easier to read than dump from built-in AST module * Non-recursive treewalk - Sometimes you want a recursive treewalk (and astor supports that, starting at any node on the tree), but sometimes you don't need to do that. astor doesn’t require you to explicitly visit sub-nodes unless you want to - You can add code that executes before a node's children are visited - You can add code that executes after a node's children are visited - You can add code that executes and keeps the node's children from being visited (and optionally visit them yourself via a recursive call) - Write functions to access the tree based on object names and/or attribute names - Enjoy easy access to parent node(s) for tree rewriting . This package installs the library for Python 2. Package: python3-astor Architecture: all Version: 0.7.1-1+Debian.stretch.9.5 Priority: optional Section: python Source: astor (0.7.1-1) Maintainer: Adam Cecile Installed-Size: 8411 Depends: python3:any (>= 3.3.2-2~) Suggests: python-astor-doc Filename: pool-stretch/python-astor/python3-astor_0.7.1-1+Debian.stretch.9.5_all.deb Size: 1474090 MD5sum: 0acd8843bc19fcc0ddef39eb5d7218c9 SHA1: bff99e91143fe75fdad3c6a559bf1b795a9e713b SHA256: dd9342cfb923f967384a65456f30b32f8539c14feacb69793a7e6ae7ffa40246 SHA512: 27d245d524b9aa7a2f7ee063a9f40d03827f0a0f29bc7161af5f75bce35e7649ae053bdc71747587b89bdb1033f4c32b236a5c4630c54e0539a0754cafcaf519 Homepage: https://github.com/berkerpeksag/astor Description: Easy manipulation of Python source via the AST (Python 3) Astor is designed to allow easy manipulation of Python source via the AST. . There are some other similar libraries, but astor focuses on the following areas: * Round-trip back to Python via Armin Ronacher's codegen.py module: - Modified AST doesn’t need linenumbers, ctx, etc. or otherwise be directly compileable - Easy to read generated code as, well, code * Dump pretty-printing of AST - Harder to read than round-tripped code, but more accurate to figure out what is going on - Easier to read than dump from built-in AST module * Non-recursive treewalk - Sometimes you want a recursive treewalk (and astor supports that, starting at any node on the tree), but sometimes you don't need to do that. astor doesn’t require you to explicitly visit sub-nodes unless you want to - You can add code that executes before a node's children are visited - You can add code that executes after a node's children are visited - You can add code that executes and keeps the node's children from being visited (and optionally visit them yourself via a recursive call) - Write functions to access the tree based on object names and/or attribute names - Enjoy easy access to parent node(s) for tree rewriting . This package installs the library for Python 3. Package: python3-astor Architecture: all Version: 0.7.1-2+Debian.stretch.9.8 Priority: optional Section: python Source: astor (0.7.1-2) Maintainer: Adam Cecile Installed-Size: 98 Depends: python3:any (>= 3.3.2-2~) Suggests: python-astor-doc Filename: pool-stretch/python-astor/python3-astor_0.7.1-2+Debian.stretch.9.8_all.deb Size: 25312 MD5sum: 15d58771161a906cee43b268e55cc10e SHA1: 06107e8fc946d37008a162a5f58da98e8910edb1 SHA256: aef03fbb724fce25384e1e7e02015bf120daeeea4f5381db06a02efd0c748b4b SHA512: 699c2d7dd79c3be90ff4cc166a23d670a216797c78107b2579368020a4d35319c577c9f0a40aaa6473e6b7b46f913bbea2755ef9b145ed5dad68cec41bc3eae2 Homepage: https://github.com/berkerpeksag/astor Description: Easy manipulation of Python source via the AST (Python 3) Astor is designed to allow easy manipulation of Python source via the AST. . There are some other similar libraries, but astor focuses on the following areas: * Round-trip back to Python via Armin Ronacher's codegen.py module: - Modified AST doesn’t need linenumbers, ctx, etc. or otherwise be directly compileable - Easy to read generated code as, well, code * Dump pretty-printing of AST - Harder to read than round-tripped code, but more accurate to figure out what is going on - Easier to read than dump from built-in AST module * Non-recursive treewalk - Sometimes you want a recursive treewalk (and astor supports that, starting at any node on the tree), but sometimes you don't need to do that. astor doesn’t require you to explicitly visit sub-nodes unless you want to - You can add code that executes before a node's children are visited - You can add code that executes after a node's children are visited - You can add code that executes and keeps the node's children from being visited (and optionally visit them yourself via a recursive call) - Write functions to access the tree based on object names and/or attribute names - Enjoy easy access to parent node(s) for tree rewriting . This package installs the library for Python 3. Package: python-astunparse-doc Architecture: all Version: 1.5.0-1+Debian.stretch.9.5 Priority: optional Section: doc Source: astunparse (1.5.0-1) Maintainer: Adam Cecile Installed-Size: 144 Depends: libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Filename: pool-stretch/python-astunparse/python-astunparse-doc_1.5.0-1+Debian.stretch.9.5_all.deb Size: 24958 MD5sum: 1c5b070f681b171356054c51b7e5b30d SHA1: e60170af8745d0e8a503a63b291c2fe65717b857 SHA256: 310f168ca3d9d09b2de18d5173ab7966f4ef718e3a147c0b7d63896e5f85e6b6 SHA512: 180f663bcb04a635c3aac265fde43101453f812b1d9a35020151e21696057641b1404da11da71f05aea1b2f5d07e80f23150719cd01b979ffe02cf836977744e Homepage: https://github.com/simonpercivall/astunparse Description: AST unparser for Python (common documentation) This is a factored out version of unparse found in the Python source distribution under Demo/parser in Python 2 and under Tools/parser in Python 3. . This is the common documentation package. Package: python-astunparse-doc Architecture: all Version: 1.6.2-1+Debian.stretch.9.8 Priority: optional Section: doc Source: astunparse (1.6.2-1) Maintainer: Adam Cecile Installed-Size: 145 Depends: libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Filename: pool-stretch/python-astunparse/python-astunparse-doc_1.6.2-1+Debian.stretch.9.8_all.deb Size: 25516 MD5sum: d9e7f9608ec39841a1493f012b7f6902 SHA1: 73096f5619a35ffe6ab24f29dfb2a91caf5bccd4 SHA256: 0dc0aa267b9f34ec173e6a17e3f35454a46ba53170cf7a1cb16a60f0dab7dcea SHA512: 2d95bae6acf9efd83596064ccc3cb4ed74b93655ccaa135a6e63395ae4fc2b81fe459a740cac876b0729a87cf352dd6c112b9ce763c08ffcd0a78ffb8a5127d3 Homepage: https://github.com/simonpercivall/astunparse Description: AST unparser for Python (common documentation) This is a factored out version of unparse found in the Python source distribution under Demo/parser in Python 2 and under Tools/parser in Python 3. . This is the common documentation package. Package: python-astunparse Architecture: all Version: 1.5.0-1+Debian.stretch.9.5 Priority: optional Section: python Source: astunparse (1.5.0-1) Maintainer: Adam Cecile Installed-Size: 55 Depends: python-six (>= 1.6.1), python-six (<< 2.0), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-astunparse-doc Filename: pool-stretch/python-astunparse/python-astunparse_1.5.0-1+Debian.stretch.9.5_all.deb Size: 11568 MD5sum: a863bc215e76ef9f9d33fb3d82edd0ec SHA1: d224b06639261c9e01476c2d9baf03a3109cf3f1 SHA256: f1d8bbb94e6a53b9c9211505144ae5cbdd2a1ce85978e568b9671ab2f74b5895 SHA512: 7ccf5d6ae2fe837a4a8349b74eded22e72310a4343508b5a57f26310afa164a880d1496b8b9f76601c8606ffd4e69b603dc3e8c5aed5278435e19a56419e3a48 Homepage: https://github.com/simonpercivall/astunparse Description: AST unparser for Python (Python 2) This is a factored out version of unparse found in the Python source distribution under Demo/parser in Python 2 and under Tools/parser in Python 3. . This package installs the library for Python 2. Package: python-astunparse Architecture: all Version: 1.6.2-1+Debian.stretch.9.8 Priority: optional Section: python Source: astunparse (1.6.2-1) Maintainer: Adam Cecile Installed-Size: 58 Depends: python-six (>= 1.6.1), python-six (<< 2.0), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-astunparse-doc Filename: pool-stretch/python-astunparse/python-astunparse_1.6.2-1+Debian.stretch.9.8_all.deb Size: 12272 MD5sum: ad0e6147856e3594b0fb5898f83b5d80 SHA1: 3431f6ba9bd021e8a6122f4047193862c473ac89 SHA256: 5629c8641dd83372ec161040084655c60f347dbcedf6744ddec9dace1d0b11f4 SHA512: 27b45760a7dba3fc6b998c92631b6d38a404538271c6c8f9a340ed6378bf801f5b624a5b83de058aed58675792b2a345ce17e1d6b9be3f7dba543ba72b7e33cc Homepage: https://github.com/simonpercivall/astunparse Description: AST unparser for Python (Python 2) This is a factored out version of unparse found in the Python source distribution under Demo/parser in Python 2 and under Tools/parser in Python 3. . This package installs the library for Python 2. Package: python3-astunparse Architecture: all Version: 1.5.0-1+Debian.stretch.9.5 Priority: optional Section: python Source: astunparse (1.5.0-1) Maintainer: Adam Cecile Installed-Size: 55 Depends: python3-six (>= 1.6.1), python3-six (<< 2.0), python3:any (>= 3.3.2-2~) Suggests: python-astunparse-doc Filename: pool-stretch/python-astunparse/python3-astunparse_1.5.0-1+Debian.stretch.9.5_all.deb Size: 11652 MD5sum: 26404e1ff11c53883d54ebc077a9ee18 SHA1: a4f0bfafc97ef3d981b28a238cef3ecd898c5360 SHA256: 823d25b78c047b01b64af2b749955dc01e39ab46940e093329f1f14565c96d9f SHA512: 8b6da0ee3745111f14cff06cc415685439e59d6e53e143569c802a7c3c715da8d19b8ea6e4608192cd3efbf3730f5140d4994e598c51649622c4b7c5c3683378 Homepage: https://github.com/simonpercivall/astunparse Description: AST unparser for Python (Python 3) This is a factored out version of unparse found in the Python source distribution under Demo/parser in Python 2 and under Tools/parser in Python 3. . This package installs the library for Python 3. Package: python3-astunparse Architecture: all Version: 1.6.2-1+Debian.stretch.9.8 Priority: optional Section: python Source: astunparse (1.6.2-1) Maintainer: Adam Cecile Installed-Size: 58 Depends: python3-six (>= 1.6.1), python3-six (<< 2.0), python3:any (>= 3.3.2-2~) Suggests: python-astunparse-doc Filename: pool-stretch/python-astunparse/python3-astunparse_1.6.2-1+Debian.stretch.9.8_all.deb Size: 12348 MD5sum: dea5cf3412b2d2f5095eab1d19850e2d SHA1: 10878165c5525e0f963e2e385f4c2b545afde45f SHA256: 85ec5306dbdd70abeee2170d227855236121fbe3b31d67a21e799d8b14d4001b SHA512: 78f330dddfab7a3c77a2bf32657510c70a386d6eeb1be2ef9f7662487a55c1fe6b7e89a911a4831257c798ed1d43f0609430132f05989efcd14a11227ae2b434 Homepage: https://github.com/simonpercivall/astunparse Description: AST unparser for Python (Python 3) This is a factored out version of unparse found in the Python source distribution under Demo/parser in Python 2 and under Tools/parser in Python 3. . This package installs the library for Python 3. Package: python-backports.weakref Architecture: all Version: 1.0-2~bpo+0 Priority: optional Section: python Maintainer: Debian Science Maintainers Installed-Size: 40 Depends: python:any (<< 2.8), python:any (>= 2.7.5-5~) Filename: pool-stretch/python-backports.weakref/python-backports.weakref_1.0-2~bpo+0_all.deb Size: 8934 MD5sum: e29426b5ec95e469305b71f68628e280 SHA1: b4cc9aff089c2e177c3571a5b1d2ee045d4da76c SHA256: 38f70bd0815da7a90da3ef9e2dea87e72ad5552d902c38a0cee364837082cbc5 SHA512: f2ff5b82cea16a624f5b050fa38f52d6f29fa1664555a46088b4873724cee4b7ae547909ecb4369c75b5af5f8215c359d71b92c86d21cac85cd2039608c762b2 Homepage: https://github.com/pjdelport/backports.weakref Description: backports of new features in Python 2 weakref module This package provides backports of new features in Python's weakref module under the backports namespace. . This package provides the Python 2 version of the module. Package: python3-backports.weakref Architecture: all Version: 1.0-2~bpo+0 Priority: optional Section: python Source: python-backports.weakref Maintainer: Debian Science Maintainers Installed-Size: 37 Depends: python3:any (>= 3.3.2-2~) Filename: pool-stretch/python-backports.weakref/python3-backports.weakref_1.0-2~bpo+0_all.deb Size: 8948 MD5sum: 7f27ccdb47bea456a0b25f59ad4173f0 SHA1: db59b244d8c199d28f9c17e6593a0bfcb86f2881 SHA256: 375cdca956c2c1c7b94a3c83e4cb3716c985024fb88db5f8d3f6b0ca5beb0aa1 SHA512: 72fee6b65323b9d01365e880e9f3ed109b363279d5ed345c47f22b981eea9cfca09f22e6b8107e06fb254ed2072cf9bd9645d514111ae9d9ea22ee11940db4fe Homepage: https://github.com/pjdelport/backports.weakref Description: backports of new features in Python 3 weakref module This package provides backports of new features in Python's weakref module under the backports namespace. . This package provides the Python 3 version of the module. Package: python-bayes-opt-doc Architecture: all Version: 1.0.1-0+Debian.stretch.9.9 Priority: optional Section: doc Source: python-bayesian-optimization (1.0.1-0) Maintainer: Adam Cecile Installed-Size: 16975 Filename: pool-stretch/python-bayesian-optimization/python-bayes-opt-doc_1.0.1-0+Debian.stretch.9.9_all.deb Size: 17000486 MD5sum: 1422a2031ad28c89637b1535e2b6eeb4 SHA1: 5891e4281c9cfa1841a46a263d4495da79905fd7 SHA256: 36e95452bab6992d9df02f7c80968e837818cacd1735daa185ff3a2fe238da41 SHA512: 1217a3352456f5ee6be0bafa06a1fcb5fe9aeb41cbc9a85a60e4d01ba90effec8fbd1e9741a7456a2bef732fd5da8d970ec1b88858028f46e3816e99180ba1a7 Homepage: https://github.com/fmfn/BayesianOptimization Description: Python implementation of optimization with gaussian processes (common doc) This is a constrained global optimization package built upon bayesian inference and gaussian process, that attempts to find the maximum value of an unknown function in as few iterations as possible. . This technique is particularly suited for optimization of high cost functions, situations where the balance between exploration and exploitation is important. . This is the common documentation package. Package: python3-bayes-opt Architecture: all Version: 1.0.1-0+Debian.stretch.9.9 Priority: optional Section: python Source: python-bayesian-optimization (1.0.1-0) Maintainer: Adam Cecile Installed-Size: 47 Depends: python3-numpy, python3-scipy, python3-sklearn, python3:any (>= 3.4~) Suggests: python-bayes-opt-doc Filename: pool-stretch/python-bayesian-optimization/python3-bayes-opt_1.0.1-0+Debian.stretch.9.9_all.deb Size: 10852 MD5sum: af79bafaeba89fa9892b096c7959a683 SHA1: cbcf8d49444e9141132337523def3a6ae65bd8e4 SHA256: abf49a29977878fa9ae963c871f49579c416c4881d23ec73c360e7e21373f8d5 SHA512: bde1ba9e1862baa59296c98f1980785be6a60fc58baf2b55afbe8824cdaef48b65286fec553b50ae0cb9b5b8039bf4e8a87a5d9e211e3088a6c0e6011bde319b Homepage: https://github.com/fmfn/BayesianOptimization Description: Python implementation of optimization with gaussian processes (Python 3) This is a constrained global optimization package built upon bayesian inference and gaussian process, that attempts to find the maximum value of an unknown function in as few iterations as possible. . This technique is particularly suited for optimization of high cost functions, situations where the balance between exploration and exploitation is important. . This package installs the library for Python 3. Package: python-box2d-dbgsym Architecture: amd64 Version: 2.3.2~dfsg-2.1~0+Debian.stretch.9.7 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: python-box2d (2.3.2~dfsg-2.1~0) Maintainer: Debian Sugar Team Installed-Size: 1634 Depends: python-box2d (= 2.3.2~dfsg-2.1~0+Debian.stretch.9.7) Filename: pool-stretch/python-box2d/python-box2d-dbgsym_2.3.2~dfsg-2.1~0+Debian.stretch.9.7_amd64.deb Size: 1500694 MD5sum: 7d23a119e33ce525a4a12d94aee70d4a SHA1: d46db884af9536cded7a247dc561bac39cf32a40 SHA256: 1c2ab0bcbae544ef771c40cb5bd118d33eaa2762e77675936bb77f73f5a9af24 SHA512: 292c5a21c42906309af8d5bb0013d3aea185b4895f7a84f28d94bbc93dbad186aedfc0f3e4c212a4a74e53f50538747ee30f73d71b0e798f46fe2c8bb8031b40 Homepage: https://github.com/pybox2d/pybox2d Description: Debug symbols for python-box2d Build-Ids: 8cf3c7d3700008564b02d03113208af3a4fe7163 Package: python-box2d-doc Architecture: all Version: 2.3.2~dfsg-2.1~0+Debian.stretch.9.7 Priority: optional Section: doc Source: python-box2d (2.3.2~dfsg-2.1~0) Maintainer: Debian Sugar Team Installed-Size: 963 Depends: ttf-bitstream-vera Suggests: python-box2d, python-pygame Filename: pool-stretch/python-box2d/python-box2d-doc_2.3.2~dfsg-2.1~0+Debian.stretch.9.7_all.deb Size: 689106 MD5sum: 5724120798a0fa0138036c51ee97391d SHA1: 70ef01a85ed10ef05ff8bb110333c0b8a8d8acaf SHA256: b754a03e5a86b508d0caa1cf3e4840e28152801812b92380112ab8afcfcbd836 SHA512: e77e8e2f1c95f99b2862deedb3a06a3a8a2218cd639f71100b8b48a0ec4840b4beeeff7990fe72764cec4a1d13c3fbbf560552ae447d13bd762401eebce7efe1 Homepage: https://github.com/pybox2d/pybox2d Description: 2D Game Physics for Python - documentation pybox2d is a 2D physics library for your games and simple simulations. 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It supports several shape types (circle, polygon, thin line segments), and quite a few joint types (revolute, prismatic, wheel, etc.). . This package contains the Python library. Package: python3-box2d-dbgsym Architecture: amd64 Version: 2.3.2~dfsg-2.1~0+Debian.stretch.9.7 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: python-box2d (2.3.2~dfsg-2.1~0) Maintainer: Debian Sugar Team Installed-Size: 1676 Depends: python3-box2d (= 2.3.2~dfsg-2.1~0+Debian.stretch.9.7) Filename: pool-stretch/python-box2d/python3-box2d-dbgsym_2.3.2~dfsg-2.1~0+Debian.stretch.9.7_amd64.deb Size: 1542850 MD5sum: 1ee7c9aa93674e2ec95c5b106db54d2a SHA1: acc3ad93449da0fc231db5fe98f9ce0b20aa002c SHA256: 26076bbfd3f956a23e0619543f4bac86fb09956dc01c6016eee61c5f5610d120 SHA512: 9853dbae394e37da5f78bc668aa6509c097851c279fa8d63e14062826fefcfef65711ce855a22fe77620cb797a6735e89415c2dbc398796435dbdea7109e7499 Homepage: https://github.com/pybox2d/pybox2d Description: Debug symbols for python3-box2d Build-Ids: e81127dfd0288d0a9dab6b51da89ed4f92b29aec Package: python3-box2d Architecture: amd64 Version: 2.3.2~dfsg-2.1~0+Debian.stretch.9.7 Priority: optional Section: python Source: python-box2d (2.3.2~dfsg-2.1~0) Maintainer: Debian Sugar Team Installed-Size: 1645 Provides: python3.5-box2d Depends: python3 (<< 3.6), python3 (>= 3.5~), python3:any (>= 3.4~), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2) Filename: pool-stretch/python-box2d/python3-box2d_2.3.2~dfsg-2.1~0+Debian.stretch.9.7_amd64.deb Size: 314236 MD5sum: 3a3bc4a35c8800782e3e29459a3ae2e6 SHA1: e63b2df438c6bfada72e8a7517c0dec8069f9117 SHA256: 9a42fe93373f77cad1af6bd630bc2a816569a07599e56027bedf662713613ea5 SHA512: da194f663d2f98283aad25933099fe2ce852f9c65eb853b41dd9359580c65d104f8fa5325a341cfed4782efb18a1c9bc97df2491fd7a5fda62a35d2e352d2e9c Homepage: https://github.com/pybox2d/pybox2d Description: 2D Game Physics for Python 3 pybox2d is a 2D physics library for your games and simple simulations. It's based on the Box2D library, written in C++. It supports several shape types (circle, polygon, thin line segments), and quite a few joint types (revolute, prismatic, wheel, etc.). . This package contains the Python library. Package: python-concurrent.futures Architecture: all Version: 3.2.0-2~bpo9+0 Priority: optional Section: python Maintainer: Debian Python Modules Team Installed-Size: 210 Provides: python-futures Depends: python:any (<< 2.8), python:any (>= 2.7.5-5~), libjs-sphinxdoc (>= 1.0) Filename: pool-stretch/python-concurrent.futures/python-concurrent.futures_3.2.0-2~bpo9+0_all.deb Size: 39990 MD5sum: a522f6485c6c9b2dbfd6da9300e910d3 SHA1: 84fb9b6c9fc4ad1dcf9f23a00fc533b766913f97 SHA256: 1a9359abd621f2ad8fb7eb09632f913a2dff71e593f5942a112032bba92edf23 SHA512: 663b2238fc38c3a8198fcf2f1b81005162c03d8c10163f47737556e599abd50562ed50d35e137847ea4bd82baa7b6512802adb6418e6d83448ef9cf557fb46e2 Homepage: https://github.com/agronholm/pythonfutures Description: backport of concurrent.futures package from Python 3.2 The concurrent.futures module provides a high-level interface for asynchronously executing callables. . 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Package: python-gast Architecture: all Version: 0.2.0-1+Debian.stretch.9.5 Priority: optional Section: python Source: gast (0.2.0-1) Maintainer: Adam Cecile Installed-Size: 46 Depends: python:any (<< 2.8), python:any (>= 2.7.5-5~) Filename: pool-stretch/python-gast/python-gast_0.2.0-1+Debian.stretch.9.5_all.deb Size: 8100 MD5sum: 31646a5abf772781815e634e2e46c4a5 SHA1: f0adde93c538b78db0fa574b5dd875ec3d4ae508 SHA256: 9c58b0d441f38c092ad88e7e597330ef613a2ac95ac93c27a4981e919cffbd68 SHA512: 193aaaf299c4681b9dbdbdb1b2adeb96b9f8a836205727c9f13c1f101ab193357a428dca5f5e8a35d532d223ff929a61fbc4b16fd3dac29ef0c0ca39468ec572 Homepage: https://github.com/serge-sans-paille/gast Description: Generic AST to represent Python2 and Python3 AST (Python 2) GAST provides a compatibility layer between the AST of various Python versions, as produced by ast.parse from the standard ast module. . This package installs the library for Python 2. 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Package: python3-gast Architecture: all Version: 0.2.2-1+Debian.stretch.9.8 Priority: optional Section: python Source: gast (0.2.2-1) Maintainer: Adam Cecile Installed-Size: 45 Depends: python3:any (>= 3.3.2-2~) Filename: pool-stretch/python-gast/python3-gast_0.2.2-1+Debian.stretch.9.8_all.deb Size: 8114 MD5sum: 7cb78a82e341b9dde00e119c63f6d734 SHA1: 9817bdcb16c3dd365132f091d3412641295940be SHA256: 127b3f74d6ec53849fea57671f3f0182142d90b198325bee63da15dbf79af667 SHA512: 3dd38437e259d302f97b3a56232ab2c67464243234eecf537c4bc27f41bfdbdfcdd100c590ab8d402805f9b7da32e93c5c85fe77d551f13870cea7165ddddcf1 Homepage: https://github.com/serge-sans-paille/gast Description: Generic AST to represent Python2 and Python3 AST (Python 3) GAST provides a compatibility layer between the AST of various Python versions, as produced by ast.parse from the standard ast module. . This package installs the library for Python 3. 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Package: python-importlib-resources-doc Architecture: all Version: 1.0.2-0+Debian.stretch.9.9 Priority: optional Section: doc Source: python-importlib-resources (1.0.2-0) Maintainer: Adam Cecile Installed-Size: 156 Depends: libjs-sphinxdoc (>= 1.0) Filename: pool-stretch/python-importlib-resources/python-importlib-resources-doc_1.0.2-0+Debian.stretch.9.9_all.deb Size: 36530 MD5sum: a8d8d2460afb63c62a3f6b1406003c69 SHA1: 737f8d2d29f99c6f0d14710823dd8280dc99425c SHA256: 58b6d5cfb808d170f7390961b3dfcb15997fba55b6116621339f05495937e940 SHA512: b16203fc08a769c424d6d7f64a88c2e9ae209e51896a0cd23ad8cff58ac44d8ea6cdb04e6368466cc1bb79edbf8a3dc1af95ab19e79650a736e7a6d5454c16a7 Homepage: https://importlib-resources.readthedocs.io Description: Backport of Python 3.7's stdlib importlib.resources (common documentation) Backport of Python 3.7’s standard library importlib.resources module for Python 2.7, and 3.4 through 3.6. 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Users of Python 3.7 and beyond should use the standard library module, since for these versions, importlib_resources just delegates to that module. . This package installs the library for Python 3. Package: python-onnx-tf-doc Architecture: all Version: 1.2.0-1+Debian.stretch.9.6 Priority: optional Section: doc Source: onnx-tensorflow (1.2.0-1) Maintainer: Adam Cecile Installed-Size: 17 Filename: pool-stretch/python-onnx-tf/python-onnx-tf-doc_1.2.0-1+Debian.stretch.9.6_all.deb Size: 5528 MD5sum: 64a36b14ac25517ae972b61cfc722747 SHA1: 5240c0b61c378a3ac19fbe891449d0eb37fceada SHA256: 8bdb7a021007f55899ff788cb3f593e8625cef298397f5579d052ecce6e25f40 SHA512: 98eca4770b43ab282ec52140d3e702807c8892e2f988fbb30c88f2298d7a0e6ce36807eac5503c6ac949f348a2cda40efa4d86485c64a50bd492feb961ab64a3 Homepage: https://github.com/onnx/onnx-tensorflow Description: Tensorflow Backend and Frontend for ONNX (common documentation) Convert models between Tensorflow and ONNX. . This is the common documentation package. Package: python-onnx-tf Architecture: all Version: 1.2.0-1+Debian.stretch.9.6 Priority: optional Section: python Source: onnx-tensorflow (1.2.0-1) Maintainer: Adam Cecile Installed-Size: 344 Depends: python-onnx, python-yaml, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-onnx-tf-doc Filename: pool-stretch/python-onnx-tf/python-onnx-tf_1.2.0-1+Debian.stretch.9.6_all.deb Size: 43872 MD5sum: 7c045d33e10dfe2d47d690638d307e53 SHA1: 63c8f5900435cdc30a5f1215872ba501b9ecde8d SHA256: 006c68c4dd2863458933872eb2f98114ef2bb014d6e0179b25cd0c90f35ce92d SHA512: 0c6d87d362cfd9b73747cd2d2186fc5bb7f796d4d3504db612be3363d39daa1015fd626f52ae14ec6b18d7654ace1a6a36323a4cb358cf976970248fd85c7c16 Homepage: https://github.com/onnx/onnx-tensorflow Description: Tensorflow Backend and Frontend for ONNX (Python 2) Convert models between Tensorflow and ONNX. . This package installs the library for Python 2. Package: python3-onnx-tf Architecture: all Version: 1.2.0-1+Debian.stretch.9.6 Priority: optional Section: python Source: onnx-tensorflow (1.2.0-1) Maintainer: Adam Cecile Installed-Size: 344 Depends: python3-onnx, python3-yaml, python3:any (>= 3.4~) Suggests: python-onnx-tf-doc Filename: pool-stretch/python-onnx-tf/python3-onnx-tf_1.2.0-1+Debian.stretch.9.6_all.deb Size: 43996 MD5sum: 49941d0341daf1eb9798110dc8f84a73 SHA1: 531bb2df2e4c80aa988e2898774e99c0e3ddf833 SHA256: 2a34fa3dd766854666dad1679f41970ed500d136663abf05b96ba89f739f61e5 SHA512: e66af83770d3792fa54fc0eb06d5b41f7d6a69fcdf28673c7b312255d1d3b4c86dc98f2b443217f9dd3f28562c47208206b5e1583e3078880fdc006ce6cd967b Homepage: https://github.com/onnx/onnx-tensorflow Description: Tensorflow Backend and Frontend for ONNX (Python 3) Convert models between Tensorflow and ONNX. . This package installs the library for Python 3. Package: python-onnx-dbgsym Architecture: amd64 Version: 1.3.0+debian-1+Debian.stretch.9.5 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: onnx (1.3.0+debian-1) Maintainer: Adam Cecile Installed-Size: 8585 Depends: python-onnx (= 1.3.0+debian-1+Debian.stretch.9.5) Filename: pool-stretch/python-onnx/python-onnx-dbgsym_1.3.0+debian-1+Debian.stretch.9.5_amd64.deb Size: 8348708 MD5sum: 2757e27f137eb65f4e0d3a50bad9ae4f SHA1: 2b9bd9ccb7fc7e0d798e28b9687afb247895a1db SHA256: 394dedb56941002725b6ec57ec83ded4b373ae95f3256fe6748ec25da11dbcbb SHA512: c39e3225f056cfa4696de0b26a07ab560af9faa941547ebff2f4d40534e68a56911094065885c610e53f843a6731f31e9dc8f6bcd491016a7c4fa8c0d16996c7 Homepage: https://onnx.ai/ Description: Debug symbols for python-onnx Build-Ids: db4910760acc2acc5411acc67e5fe7361df474a8 Package: python-onnx-dbgsym Architecture: amd64 Version: 1.5.0+debian-1+Debian.stretch.9.9 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: onnx (1.5.0+debian-1) Maintainer: Adam Cecile Installed-Size: 10450 Depends: python-onnx (= 1.5.0+debian-1+Debian.stretch.9.9) Filename: pool-stretch/python-onnx/python-onnx-dbgsym_1.5.0+debian-1+Debian.stretch.9.9_amd64.deb Size: 10155114 MD5sum: b629faafea144283ce6d2c8d6ae5798b SHA1: d26fb08a86f6e88be77bc13cdccd983640bec7e2 SHA256: 313f655c19e5e56f90d4dcca45e24db7cc7e9c5502b0357911ec918b15654361 SHA512: 96efda9ec940044390c8156ec65496344e681ec39d8d0410ef0cf63333c16bde388b1ce61aad19c1bf51406535a2fc3cb9db6304fb5c65b31f69fb2600ba6d42 Homepage: https://onnx.ai/ Description: Debug symbols for python-onnx Build-Ids: 3dc4089c37dfb6ed932fbc357804112a10da410f Package: python-onnx-doc Architecture: all Version: 1.3.0+debian-1+Debian.stretch.9.5 Priority: optional Section: doc Source: onnx (1.3.0+debian-1) Maintainer: Adam Cecile Installed-Size: 277 Filename: pool-stretch/python-onnx/python-onnx-doc_1.3.0+debian-1+Debian.stretch.9.5_all.deb Size: 199014 MD5sum: fea10942691fde91f3d622cf37c6d6d3 SHA1: 97d1b3ad8a302cd6b72623b310e3007c5ea56f91 SHA256: 4fd41d9f5f8a34da63aab3eee50c65c7955bbbddd65b133633ecb418359ca258 SHA512: 31c67162f31f011232f5645b40e3e10966de2b68fc50d71d65b08cbbe8964b436f316e2be7901575af206669576751d27fd8bd3920fd5df0471e2b204cc5163b Homepage: https://onnx.ai/ Description: Open Neural Network Exchange (ONNX) (common documentation) Open Neural Network Exchange (ONNX) is the first step toward an open ecosystem that empowers AI developers to choose the right tools as their project evolves. . ONNX provides an open source format for AI models. . It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types. . Caffe2, PyTorch, Microsoft Cognitive Toolkit, Apache MXNet and other tools are developing ONNX support. . This is the common documentation package. Package: python-onnx-doc Architecture: all Version: 1.5.0+debian-1+Debian.stretch.9.9 Priority: optional Section: doc Source: onnx (1.5.0+debian-1) Maintainer: Adam Cecile Installed-Size: 337 Filename: pool-stretch/python-onnx/python-onnx-doc_1.5.0+debian-1+Debian.stretch.9.9_all.deb Size: 248074 MD5sum: 61766a4e0e600b85ba59e97d038b5992 SHA1: e67d9c6d4c4ca7f548ce60160196e0fb1c1a1d8b SHA256: 62372b9233a9bd639b15088e0154dd3c73ff8c4b0343e2d4c384ed8f493ce332 SHA512: 683578f3f9819792e3b7398a992d6f7b41a8576e2c9a75db86518baac23cec64cb823c95fa2cd366586aa3c9c68043ff9d7f9161f8d1e3f268b9e4d2ec4b2be0 Homepage: https://onnx.ai/ Description: Open Neural Network Exchange (ONNX) (common documentation) Open Neural Network Exchange (ONNX) is the first step toward an open ecosystem that empowers AI developers to choose the right tools as their project evolves. . ONNX provides an open source format for AI models. . It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types. . Caffe2, PyTorch, Microsoft Cognitive Toolkit, Apache MXNet and other tools are developing ONNX support. . This is the common documentation package. Package: python-onnx Architecture: amd64 Version: 1.3.0+debian-1+Debian.stretch.9.5 Priority: optional Section: python Source: onnx (1.3.0+debian-1) Maintainer: Adam Cecile Installed-Size: 12326 Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libprotobuf14, libstdc++6 (>= 5.2), python (<< 2.8), python (>= 2.7~), python-numpy, python-protobuf, python-six, python-typing, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-onnx-doc Filename: pool-stretch/python-onnx/python-onnx_1.3.0+debian-1+Debian.stretch.9.5_amd64.deb Size: 1904698 MD5sum: a76f573da4e66535719269bd22973d22 SHA1: 5b51a556c8b6bff54a7c1b0931ce67b7999d520a SHA256: 35b233755e90317dca7f508ff5d5ab3f4f57ebb84e9d39dbe8afe763c66afefd SHA512: e3714dac2a08d00fc23e5779b38f73ef86d4452ffbdf3addaab0a4d73f3474c079a59ad30d71b6ff7e8d20582da4ab74cc7b3407aec27e262ef4fca8550d0f77 Homepage: https://onnx.ai/ Description: Open Neural Network Exchange (ONNX) (Python 2) Open Neural Network Exchange (ONNX) is the first step toward an open ecosystem that empowers AI developers to choose the right tools as their project evolves. . ONNX provides an open source format for AI models. . It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types. . Caffe2, PyTorch, Microsoft Cognitive Toolkit, Apache MXNet and other tools are developing ONNX support. . This package installs the library for Python 2. Package: python-onnx Architecture: amd64 Version: 1.5.0+debian-1+Debian.stretch.9.9 Priority: optional Section: python Source: onnx (1.5.0+debian-1) Maintainer: Adam Cecile Installed-Size: 13547 Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libprotobuf17, libstdc++6 (>= 5.2), python (<< 2.8), python (>= 2.7~), python-numpy, python-protobuf, python-six, python-typing, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-onnx-doc Filename: pool-stretch/python-onnx/python-onnx_1.5.0+debian-1+Debian.stretch.9.9_amd64.deb Size: 2044114 MD5sum: a2a4df740a1cbfe2d85ca8d1b8e55a16 SHA1: 0decca827603284c05563dd85f04bb9e41abe147 SHA256: af933f0759604b189b072812787133e2bb2f07047b9d54df9c59e286859f6b2e SHA512: d6bbc2785108293885d60c69a97fcb1e431cb53509a5e57fa7e3bee65ba5f3079bcad35e94991e8a1816cb213d2f417570cf9e198148a53374cb6631dbd98247 Homepage: https://onnx.ai/ Description: Open Neural Network Exchange (ONNX) (Python 2) Open Neural Network Exchange (ONNX) is the first step toward an open ecosystem that empowers AI developers to choose the right tools as their project evolves. . ONNX provides an open source format for AI models. . It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types. . Caffe2, PyTorch, Microsoft Cognitive Toolkit, Apache MXNet and other tools are developing ONNX support. . This package installs the library for Python 2. Package: python3-onnx-dbgsym Architecture: amd64 Version: 1.3.0+debian-1+Debian.stretch.9.5 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: onnx (1.3.0+debian-1) Maintainer: Adam Cecile Installed-Size: 8608 Depends: python3-onnx (= 1.3.0+debian-1+Debian.stretch.9.5) Filename: pool-stretch/python-onnx/python3-onnx-dbgsym_1.3.0+debian-1+Debian.stretch.9.5_amd64.deb Size: 8373620 MD5sum: decf331fd2457cbab3f1b7bdab731600 SHA1: 16b68f3824b734b8d0ca97c951343d25f6f9da18 SHA256: 7c68f22a041c04d5200abd15a2f2cd3d26583b467973bd733a43cd3e6a58261f SHA512: 42cf5315e9aec370cf3ee084738e83768dae219101bb9933ad0fcc0d2b7ce86dc8b945a5e7219a24a81c354016b64ede17fa9aaddb3e95c564db215a9507c96e Homepage: https://onnx.ai/ Description: Debug symbols for python3-onnx Build-Ids: 8e82f87743e372e4613be761029adf07f679d3ef Package: python3-onnx-dbgsym Architecture: amd64 Version: 1.5.0+debian-1+Debian.stretch.9.9 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: onnx (1.5.0+debian-1) Maintainer: Adam Cecile Installed-Size: 10472 Depends: python3-onnx (= 1.5.0+debian-1+Debian.stretch.9.9) Filename: pool-stretch/python-onnx/python3-onnx-dbgsym_1.5.0+debian-1+Debian.stretch.9.9_amd64.deb Size: 10178596 MD5sum: 714329f2704b3e287398ad3b4a408914 SHA1: db7288f71c6f3ba6bfa37354172767b824d5ef37 SHA256: cb79940d98f1bf8dd6624925b55bf88405e245aef82dbcaf3adfb9d5782005ea SHA512: 70d2d79691561fbcf2cfa37fbcd99e56c52d733a1300267ffd473f6d05249f3155ceb22eb8f037bcd9d69a009b4530014cd3fa715648f047b70b838da0ef3b8f Homepage: https://onnx.ai/ Description: Debug symbols for python3-onnx Build-Ids: 00ce68f1b9351cda4242e4b16c0634edb8dddaef Package: python3-onnx Architecture: amd64 Version: 1.3.0+debian-1+Debian.stretch.9.5 Priority: optional Section: python Source: onnx (1.3.0+debian-1) Maintainer: Adam Cecile Installed-Size: 12326 Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libprotobuf14, libstdc++6 (>= 5.2), python3 (<< 3.6), python3 (>= 3.5~), python3-numpy, python3-protobuf, python3-six, python3:any (>= 3.4~) Suggests: python-onnx-doc Filename: pool-stretch/python-onnx/python3-onnx_1.3.0+debian-1+Debian.stretch.9.5_amd64.deb Size: 1904046 MD5sum: f5598c14d591e3c47cf56753d232468c SHA1: 956ddd010a0c7ffde7ad28ad5123aa3a2135f136 SHA256: 384d2ec860093897d9e151b73af80f19446ee16d1047d8dc2cc46205dd7c49ae SHA512: cd6d367b379b37a3775f577d2f3b643fe06938222c585c072be37e50ad57064abec1f5a7a7f775e27249d67bccd20d5f2da43e6e5adc62cfd31973af1b89ef6f Homepage: https://onnx.ai/ Description: Open Neural Network Exchange (ONNX) (Python 3) Open Neural Network Exchange (ONNX) is the first step toward an open ecosystem that empowers AI developers to choose the right tools as their project evolves. . ONNX provides an open source format for AI models. . It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types. . Caffe2, PyTorch, Microsoft Cognitive Toolkit, Apache MXNet and other tools are developing ONNX support. . This package installs the library for Python 3. Package: python3-onnx Architecture: amd64 Version: 1.5.0+debian-1+Debian.stretch.9.9 Priority: optional Section: python Source: onnx (1.5.0+debian-1) Maintainer: Adam Cecile Installed-Size: 13551 Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libprotobuf17, libstdc++6 (>= 5.2), python3 (<< 3.6), python3 (>= 3.5~), python3-numpy, python3-protobuf, python3-six, python3:any (>= 3.4~) Suggests: python-onnx-doc Filename: pool-stretch/python-onnx/python3-onnx_1.5.0+debian-1+Debian.stretch.9.9_amd64.deb Size: 2043110 MD5sum: 056f40f4089f3f78b0ab943330eaa7e6 SHA1: e6e32cecfa2924a0585a16fc78c9fa5c77fa0c06 SHA256: bb9a3302c46a993b4abd19cbc2ce88182d2696fd3110c9f5fe690f88ea76c870 SHA512: 9779e7a94225ea8fbc985d3113779427bcdad1a51fb252b53749bd6334cfec1fb7e7504fcc1cb2dc0cb92f06c86cf37c2fc4a2978cd5ff4a5dc9c19c20080247 Homepage: https://onnx.ai/ Description: Open Neural Network Exchange (ONNX) (Python 3) Open Neural Network Exchange (ONNX) is the first step toward an open ecosystem that empowers AI developers to choose the right tools as their project evolves. . ONNX provides an open source format for AI models. . It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types. . Caffe2, PyTorch, Microsoft Cognitive Toolkit, Apache MXNet and other tools are developing ONNX support. . This package installs the library for Python 3. Package: python-parameterized Architecture: all Version: 0.6.1-2~bpo9+0 Priority: optional Section: python Maintainer: Debian Python Modules Team Installed-Size: 58 Depends: python:any (<< 2.8), python:any (>= 2.7.5-5~) Filename: pool-stretch/python-parameterized/python-parameterized_0.6.1-2~bpo9+0_all.deb Size: 14212 MD5sum: 7d48aba133428bffec57db57ceb54dbe SHA1: c48832fcea8a8214e6f2b7154211a132be311ee7 SHA256: 5da52a3ef6d0871da1fedb6bc15d252ffebac81819aeaaef92e6709f60e466c2 SHA512: 6fdfb5c87e4ed3eaea0f8c3c34499f3bbe3b800a597daa79c5e4dc664bba91da4b58d14156f88ec5fea8a35fab05ea7621b2b8121f813f4a6d17badc1fb17fd6 Homepage: https://github.com/wolever/parameterized Description: parameterized testing for Python 2 The parameterized module provides a set of decorators for parameterized testing in Python. It supports nose, nose2, pytest and unittest. . The @parameterized decorator can be used for class methods, and standalone functions, whilst the @parameterized.expand should be used for classes deriving from unittest.TestCase. . This package provides the modules for Python 2. Package: python3-parameterized Architecture: all Version: 0.6.1-2~bpo9+0 Priority: optional Section: python Source: python-parameterized Maintainer: Debian Python Modules Team Installed-Size: 58 Depends: python3:any (>= 3.3.2-2~) Filename: pool-stretch/python-parameterized/python3-parameterized_0.6.1-2~bpo9+0_all.deb Size: 14292 MD5sum: ef76164a26cff2e9c12a97da94163edb SHA1: 46472efcdf7b35fbb1fd64a2f86383e15549a3d8 SHA256: 45fa39366ffb168f7dbe0431837f5c8356583b44e32e2b74196588c5ab3fa0ed SHA512: 73c886ac5ba6f62ec05c8b46b259f05044985f0947339c1a7dd45c2f860475563134b851b7f9e0ac7be07fdbbe9778e5ce1db8d3b4885f37551dd63a325fce00 Homepage: https://github.com/wolever/parameterized Description: parameterized testing for Python 3 The parameterized module provides a set of decorators for parameterized testing in Python. It supports nose, nose2, pytest and unittest. . The @parameterized decorator can be used for class methods, and standalone functions, whilst the @parameterized.expand should be used for classes deriving from unittest.TestCase. . This package provides the modules for Python 3. Package: python-pbr-doc Architecture: all Version: 4.2.0-4~bpo9+0 Priority: optional Section: doc Source: python-pbr Maintainer: Debian OpenStack Installed-Size: 2461 Depends: libjs-sphinxdoc (>= 1.0) Filename: pool-stretch/python-pbr/python-pbr-doc_4.2.0-4~bpo9+0_all.deb Size: 948164 MD5sum: 9e09daefc99e0eb6e7bcc78c289e2680 SHA1: e586b114ec6a3c40495bfaa867b2ab73060baf02 SHA256: 11d6903ed84f45bb70a8ec1870c1c88b5ae8c42556b03252e7c7785d3b4098bd SHA512: fe9b1ece6e23ef231f546ee1e6e603dcadc61df2d30288f247307ba2b2a497fb2b981ec0d711752d3ac27298e3c325604ecb6d3c95f947d4d85d7258ee86d665 Homepage: https://pypi.python.org/pypi/pbr Description: inject useful and sensible default behaviors into setuptools - doc PBR (Python Build Reasonableness) is a library that injects some useful and sensible default behaviors into your setuptools run. PBR can: * Manage version number based on git revisions and tags (Version file). * Generate AUTHORS file from git log * Generate ChangeLog from git log * Generate Sphinx autodoc stub files for your whole module * Store your dependencies in a pip requirements file * Use your README file as a long_description * Smartly find packages under your root package . PBR is only mildly configurable. The basic idea is that there's a decent way to run things and if you do, you should reap the rewards, because then it's simple and repeatable. If you want to do things differently, cool! But you've already got the power of Python at your fingertips, so you don't really need PBR. . PBR builds on top of the work that d2to1 started to provide for declarative configuration. d2to1 is itself an implementation of the ideas behind distutils2. Although distutils2 is now abandoned in favor of work towards PEP 426 and Metadata 2.0, declarative config is still a great idea and specifically important in trying to distribute setup code as a library when that library itself will alter how the setup is processed. As Metadata 2.0 and other modern Python packaging PEPs come out, PBR aims to support them as quickly as possible. . This package provides the documentation. Package: python-pbr Architecture: all Version: 4.2.0-4~bpo9+0 Priority: optional Section: python Maintainer: Debian OpenStack Installed-Size: 296 Depends: python-pkg-resources, python-setuptools, python-six, python2.7:any, python:any (<< 2.8), python:any (>= 2.7.5-5~) Filename: pool-stretch/python-pbr/python-pbr_4.2.0-4~bpo9+0_all.deb Size: 57480 MD5sum: 13067e295fdbc3a52a8d8284530e3885 SHA1: 8456a77d7f215d48ec50f8b1494a16040792cd36 SHA256: a0c4ae2273ba846f9eb707c414a723db760dc218499e67a4c3c8da49da8f8159 SHA512: 175c96f726ecf68c5a9874cbe4860bf518b8ebd563d5883dcfe1118f477cd2763bd6e114d285a8f2af20a72a1e2646d6e1bac6047cbed6cb42f35a4956a115b1 Homepage: https://pypi.python.org/pypi/pbr Description: inject useful and sensible default behaviors into setuptools - Python 2.x PBR (Python Build Reasonableness) is a library that injects some useful and sensible default behaviors into your setuptools run. PBR can: * Manage version number based on git revisions and tags (Version file). * Generate AUTHORS file from git log * Generate ChangeLog from git log * Generate Sphinx autodoc stub files for your whole module * Store your dependencies in a pip requirements file * Use your README file as a long_description * Smartly find packages under your root package . PBR is only mildly configurable. The basic idea is that there's a decent way to run things and if you do, you should reap the rewards, because then it's simple and repeatable. If you want to do things differently, cool! But you've already got the power of Python at your fingertips, so you don't really need PBR. . PBR builds on top of the work that d2to1 started to provide for declarative configuration. d2to1 is itself an implementation of the ideas behind distutils2. Although distutils2 is now abandoned in favor of work towards PEP 426 and Metadata 2.0, declarative config is still a great idea and specifically important in trying to distribute setup code as a library when that library itself will alter how the setup is processed. As Metadata 2.0 and other modern Python packaging PEPs come out, PBR aims to support them as quickly as possible. . This package provides support for Python 2.x. Package: python3-pbr Architecture: all Version: 4.2.0-4~bpo9+0 Priority: optional Section: python Source: python-pbr Maintainer: Debian OpenStack Installed-Size: 296 Depends: python3-pkg-resources, python3-setuptools, python3-six, python3:any (>= 3.3.2-2~) Filename: pool-stretch/python-pbr/python3-pbr_4.2.0-4~bpo9+0_all.deb Size: 57540 MD5sum: 047ab48780351964d984f9bb654e3e2b SHA1: 879159be287f95a59acec7b9505361cb953eaf87 SHA256: b6b598fb39c064eb3aa4ba277cfdb7afe598a463b1a95c954b4bd2b47625641f SHA512: 9ea8286bdd6b8e1534cff349fd5c22ff5253d85937a040f73cac325c5bfd26d65f746198b518522e64af68416954bf6e36592346175da5a887f505fe58c791e8 Homepage: https://pypi.python.org/pypi/pbr Description: inject useful and sensible default behaviors into setuptools - Python 3.x PBR (Python Build Reasonableness) is a library that injects some useful and sensible default behaviors into your setuptools run. PBR can: * Manage version number based on git revisions and tags (Version file). * Generate AUTHORS file from git log * Generate ChangeLog from git log * Generate Sphinx autodoc stub files for your whole module * Store your dependencies in a pip requirements file * Use your README file as a long_description * Smartly find packages under your root package . PBR is only mildly configurable. The basic idea is that there's a decent way to run things and if you do, you should reap the rewards, because then it's simple and repeatable. If you want to do things differently, cool! But you've already got the power of Python at your fingertips, so you don't really need PBR. . PBR builds on top of the work that d2to1 started to provide for declarative configuration. d2to1 is itself an implementation of the ideas behind distutils2. Although distutils2 is now abandoned in favor of work towards PEP 426 and Metadata 2.0, declarative config is still a great idea and specifically important in trying to distribute setup code as a library when that library itself will alter how the setup is processed. As Metadata 2.0 and other modern Python packaging PEPs come out, PBR aims to support them as quickly as possible. . This package provides support for Python 3.x. Package: python-shap-dbgsym Architecture: amd64 Version: 0.24.0-1+Debian.stretch.9.5 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: python-shap (0.24.0-1) Maintainer: Adam Cecile Installed-Size: 60 Depends: python-shap (= 0.24.0-1+Debian.stretch.9.5) Filename: pool-stretch/python-shap/python-shap-dbgsym_0.24.0-1+Debian.stretch.9.5_amd64.deb Size: 47278 MD5sum: b1a82f67ec81c0a1b8c3a78fcf57be79 SHA1: 2a7f50b48a494def25a40e49d4dd3f5772047446 SHA256: 0ceb9c1fc75646a031e6e5a0a01bd173071d0b0d7232e2fdc35066e7f616854c SHA512: 75732c62448e35101d9dd48c042fdcdc4d8870e5225a73349f81704d23389c2a49eb82a40649683c430bb3cfe7607afb1cffa4858dee2355e87287d82511342b Description: Debug symbols for python-shap Build-Ids: c3573ee7636b3c1363620e7fb07c3e393cbb7022 Package: python-shap-doc Architecture: all Version: 0.24.0-1+Debian.stretch.9.5 Priority: optional Section: doc Source: python-shap (0.24.0-1) Maintainer: Adam Cecile Installed-Size: 146 Depends: libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Filename: pool-stretch/python-shap/python-shap-doc_0.24.0-1+Debian.stretch.9.5_all.deb Size: 54900 MD5sum: fedfaae7faadc3139817398620b8fa15 SHA1: bba2f5d0fe9e4446d7a1850577d78163a1515031 SHA256: ece14d1759a7adb7f0d8e212961ebbee753b0435864420d171842007e5e57d87 SHA512: f6282ca0ad41fbe2ff48f70a44da4da3956e8ad58f6453dabebf14728ced43b4b873314df4e21ff142f634f0bad9ff0df21bc30148235359db5b812e1165fbaa Description: Unified approach to explain machine learning model (common documentation) SHAP (SHapley Additive exPlanations) is a unified approach to explain the output of any machine learning model. . SHAP connects game theory with local explanations, uniting several previous methods and representing the only possible consistent and locally accurate additive feature attribution method based on expectations. . This is the common documentation package. Package: python-shap Architecture: amd64 Version: 0.24.0-1+Debian.stretch.9.5 Priority: optional Section: python Source: python-shap (0.24.0-1) Maintainer: Adam Cecile Installed-Size: 643 Depends: libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1), python (<< 2.8), python (>= 2.7~), python-ipython, python-matplotlib, python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-pandas, python-scipy, python-sklearn, python-tqdm, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-shap-doc Filename: pool-stretch/python-shap/python-shap_0.24.0-1+Debian.stretch.9.5_amd64.deb Size: 151942 MD5sum: ca278c4d0ba7b0934cb277d15f1ce6c2 SHA1: 3319a9789d75276222e538ab778ce08fe4b109a5 SHA256: 93aad48f2c37d7f88ebcf975ecc7270693c9a078d4db50da7300463c882ee4c6 SHA512: 9c3ea2727e1fd3181bb9bff429d9ae0aa6a0ac9e922576d23dfe8f5c81d01373059bc3722d6029fc282d1f4fb7326565e3db5e5462a5de38d815cab3e3f8e031 Description: Unified approach to explain machine learning model (Python 2) SHAP (SHapley Additive exPlanations) is a unified approach to explain the output of any machine learning model. . SHAP connects game theory with local explanations, uniting several previous methods and representing the only possible consistent and locally accurate additive feature attribution method based on expectations. . This package installs the library for Python 2. Package: python3-shap-dbgsym Architecture: amd64 Version: 0.24.0-1+Debian.stretch.9.5 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: python-shap (0.24.0-1) Maintainer: Adam Cecile Installed-Size: 63 Depends: python3-shap (= 0.24.0-1+Debian.stretch.9.5) Filename: pool-stretch/python-shap/python3-shap-dbgsym_0.24.0-1+Debian.stretch.9.5_amd64.deb Size: 50352 MD5sum: 0716141b3a73e14ee0b20fa2e0185cf7 SHA1: 089c0e76becdee283fcf2c09c024717acb974747 SHA256: ab7884b678b4d534a7bd4e905ecda1de7b0d7e00870c27bf71be174f1d9fe65b SHA512: d7673f9103ed5c543320e43cf3660765ecfa67449376fd9aae4420da35db8593567f258b0e3604650e44c60b2a26698653c5fa349f6c6d4415233ef4d0ae4e0f Description: Debug symbols for python3-shap Build-Ids: 578fe780821f0d3541c0aa258d97d178e777a77f Package: python3-shap Architecture: amd64 Version: 0.24.0-1+Debian.stretch.9.5 Priority: optional Section: python Source: python-shap (0.24.0-1) Maintainer: Adam Cecile Installed-Size: 643 Depends: libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1), python3 (<< 3.6), python3 (>= 3.5~), python3-ipython, python3-matplotlib, python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-pandas, python3-scipy, python3-sklearn, python3-tqdm, python3:any (>= 3.4~) Suggests: python-shap-doc Filename: pool-stretch/python-shap/python3-shap_0.24.0-1+Debian.stretch.9.5_amd64.deb Size: 152088 MD5sum: ba2417e39581e737ace8f266fa603918 SHA1: 5e5363eee8cd2935420c8cd776563c0bb46c30a8 SHA256: bdbe25947d0b9720a27d7fd66ddcf356d979ef763200a9a6ec0e7127e115c219 SHA512: 53e995da5810e1b67f3eb154994d5088fe387a54544067c88b134a11c72368c30435b054fecd8318be916444938f5e1c3f0d50a32d4d69cca8a9075b568b7afc Description: Unified approach to explain machine learning model (Python 3) SHAP (SHapley Additive exPlanations) is a unified approach to explain the output of any machine learning model. . SHAP connects game theory with local explanations, uniting several previous methods and representing the only possible consistent and locally accurate additive feature attribution method based on expectations. . This package installs the library for Python 3. Package: python-tensorboard Architecture: all Version: 0.1.7-1+Debian-stretch-9.1 Priority: optional Section: python Source: tensorboard (0.1.7-1) Maintainer: Adam Cecile Installed-Size: 1896 Depends: python-bleach (>= 1.5.0), python-html5lib (>= 0.9999999), python-markdown (>= 2.6.8), python-numpy (>= 1.11.0), python-protobuf (>= 3.2.0), python-six (>= 1.10.0), python-werkzeug (>= 0.11.10), python-wheel (>= 0.26), python:any (<< 2.8), python:any (>= 2.7.5-5~) Filename: pool-stretch/python-tensorboard/0.1.7/python-tensorboard_0.1.7-1+Debian-stretch-9.1_all.deb Size: 1573714 MD5sum: dc40a9d4ea01180939473600b7141b6e SHA1: 7fb42090e10c71fad19da1344a40c1415551eeac SHA256: ede231b282db788e92ead20615ec743bdb752adee583fd236e916eda9efcc0a6 SHA512: d5d4baf86a82ea7c1a76bec87394643dbc7197b7fdbaad4226a563af0bca412697b924428ed67448612d1a8ad77ac943a797df249ffe2cd3ca53c7bc5d47abec Homepage: https://github.com/tensorflow/tensorboard Description: suite of web applications for inspecting TensorFlow runs and graphs (Python 2) The computations you'll use TensorFlow for - like training a massive deep neural network - can be complex and confusing. . To make it easier to understand, debug, and optimize TensorFlow programs, we've included a suite of visualization tools called TensorBoard. . You can use TensorBoard to visualize your TensorFlow graph, plot quantitative metrics about the execution of your graph, and show additional data like images that pass through it. . This package installs the library for Python 2. Package: python3-tensorboard Architecture: all Version: 0.1.7-1+Debian-stretch-9.1 Priority: optional Section: python Source: tensorboard (0.1.7-1) Maintainer: Adam Cecile Installed-Size: 1897 Depends: python3-bleach (>= 1.5.0), python3-html5lib (>= 0.9999999), python3-markdown (>= 2.6.8), python3-numpy (>= 1.11.0), python3-protobuf (>= 3.2.0), python3-six (>= 1.10.0), python3-werkzeug (>= 0.11.10), python3-wheel (>= 0.26), python3:any (>= 3.4~) Filename: pool-stretch/python-tensorboard/0.1.7/python3-tensorboard_0.1.7-1+Debian-stretch-9.1_all.deb Size: 1573864 MD5sum: 2bc39ceba788ca1e00e1979552e49cb0 SHA1: d07c1a4293702038ffeb3ab7e4c940d550c0a664 SHA256: 266edff360b4beaaf73e46ff9457fb71f39f528a87925c36a1e03be04a69423d SHA512: 1bd4c271d12613a7eb93811b5fc7829f08a48731fe9c4ddd72943e941cb88207f9c598749e5909dd7b16f4cd5bc25af952fe6e18c9fe6866cda1c073d5016ba6 Homepage: https://github.com/tensorflow/tensorboard Description: suite of web applications for inspecting TensorFlow runs and graphs (Python 3) The computations you'll use TensorFlow for - like training a massive deep neural network - can be complex and confusing. . To make it easier to understand, debug, and optimize TensorFlow programs, we've included a suite of visualization tools called TensorBoard. . You can use TensorBoard to visualize your TensorFlow graph, plot quantitative metrics about the execution of your graph, and show additional data like images that pass through it. . This package installs the library for Python 3. Package: python-tensorboard Architecture: all Version: 0.1.8-1+Debian-stretch-9.1 Priority: optional Section: python Source: tensorboard (0.1.8-1) Maintainer: Adam Cecile Installed-Size: 1897 Depends: python-bleach (>= 1.5.0), python-html5lib (>= 0.9999999), python-markdown (>= 2.6.8), python-numpy (>= 1.11.0), python-protobuf (>= 3.2.0), python-six (>= 1.10.0), python-werkzeug (>= 0.11.10), python-wheel, python:any (<< 2.8), python:any (>= 2.7.5-5~) Filename: pool-stretch/python-tensorboard/0.1.8/python-tensorboard_0.1.8-1+Debian-stretch-9.1_all.deb Size: 1574132 MD5sum: 653a68ad937638e770198d95ed340fcf SHA1: 779b7bbab90dbc2ab09c6e60e809a6a30c42efd7 SHA256: c514ed13135911e9212b75ea0bade54899d5baaa740ea522ace832b8cda8e977 SHA512: 4ed9b9b6914677bdc2521bdd3693da4a551e5c67f1063da9ea7725d3752606f290aa0e48aba7fffc0a620b1fcf3558436ec8bc9262ddf8175ca0f0143a8964d3 Homepage: https://github.com/tensorflow/tensorboard Description: suite of web applications for inspecting TensorFlow runs and graphs (Python 2) The computations you'll use TensorFlow for - like training a massive deep neural network - can be complex and confusing. . To make it easier to understand, debug, and optimize TensorFlow programs, we've included a suite of visualization tools called TensorBoard. . You can use TensorBoard to visualize your TensorFlow graph, plot quantitative metrics about the execution of your graph, and show additional data like images that pass through it. . This package installs the library for Python 2. Package: python3-tensorboard Architecture: all Version: 0.1.8-1+Debian-stretch-9.1 Priority: optional Section: python Source: tensorboard (0.1.8-1) Maintainer: Adam Cecile Installed-Size: 1898 Depends: python3-bleach (>= 1.5.0), python3-html5lib (>= 0.9999999), python3-markdown (>= 2.6.8), python3-numpy (>= 1.11.0), python3-protobuf (>= 3.2.0), python3-six (>= 1.10.0), python3-werkzeug (>= 0.11.10), python3-wheel, python3:any (>= 3.4~) Filename: pool-stretch/python-tensorboard/0.1.8/python3-tensorboard_0.1.8-1+Debian-stretch-9.1_all.deb Size: 1574242 MD5sum: fad22bf0e14fb731147e013e05df78b6 SHA1: 7385f9287f34868dab39370a6fc774eaec57bbd7 SHA256: b092381f244ee8cdb6a728ae4a1d4af304ca066382ab11ea2daf13e54e871eb2 SHA512: 82cd8528569099ac6500ff34fce354dcfdc5a885e7f7eaae93c52fa3f5d9396adb2798d71ffa941acc055dc5a769375f40aae3d1804dc8a3298ca38f8e54b547 Homepage: https://github.com/tensorflow/tensorboard Description: suite of web applications for inspecting TensorFlow runs and graphs (Python 3) The computations you'll use TensorFlow for - like training a massive deep neural network - can be complex and confusing. . To make it easier to understand, debug, and optimize TensorFlow programs, we've included a suite of visualization tools called TensorBoard. . You can use TensorBoard to visualize your TensorFlow graph, plot quantitative metrics about the execution of your graph, and show additional data like images that pass through it. . This package installs the library for Python 3. Package: python-tensorboard Architecture: all Version: 0.4.0-1+Debian.stretch.9.4 Priority: optional Section: python Source: tensorboard (0.4.0-1) Maintainer: Adam Cecile Installed-Size: 2012 Depends: python-bleach (>= 1.5.0), python-concurrent.futures (>= 3), python-html5lib (>= 0.9999999), python-markdown (>= 2.6.8), python-numpy (>= 1.11.0), python-protobuf (>= 3.3.0), python-six (>= 1.10.0), python-werkzeug (>= 0.11.10), python-wheel, python:any (<< 2.8), python:any (>= 2.7.5-5~) Breaks: python-tensorflow (<< 1.4~) Filename: pool-stretch/python-tensorboard/0.4.0/python-tensorboard_0.4.0-1+Debian.stretch.9.4_all.deb Size: 1592732 MD5sum: c1d2f8808d8518d00e5a09a452dae908 SHA1: d58a30b8846d8e2483ab6ed0f82717f7d0b09b9c SHA256: 1d65f94a8471b3c28f7faf793f972c1806b55c583a62ebf81fa3bcdb6952d129 SHA512: 37527077c2413b11b275405fbcfeffade6e8cb75801e4dd283fb892982dd680807c8e1bf3c089da3c8fd5ebf9334c53d0fcee702ac77371b2f1dac1fd786cf71 Homepage: https://github.com/tensorflow/tensorboard Description: suite of web applications for inspecting TensorFlow runs and graphs (Python 2) The computations you'll use TensorFlow for - like training a massive deep neural network - can be complex and confusing. . To make it easier to understand, debug, and optimize TensorFlow programs, we've included a suite of visualization tools called TensorBoard. . You can use TensorBoard to visualize your TensorFlow graph, plot quantitative metrics about the execution of your graph, and show additional data like images that pass through it. . This package installs the library for Python 2. 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To make it easier to understand, debug, and optimize TensorFlow programs, we've included a suite of visualization tools called TensorBoard. . You can use TensorBoard to visualize your TensorFlow graph, plot quantitative metrics about the execution of your graph, and show additional data like images that pass through it. . This package installs the library for Python 2. 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To make it easier to understand, debug, and optimize TensorFlow programs, we've included a suite of visualization tools called TensorBoard. . You can use TensorBoard to visualize your TensorFlow graph, plot quantitative metrics about the execution of your graph, and show additional data like images that pass through it. . This package installs the library for Python 2. 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To make it easier to understand, debug, and optimize TensorFlow programs, we've included a suite of visualization tools called TensorBoard. . You can use TensorBoard to visualize your TensorFlow graph, plot quantitative metrics about the execution of your graph, and show additional data like images that pass through it. . This package installs the library for Python 3. Package: python3-tensorboard Architecture: all Version: 0.4.0~rc3-1+Debian-stretch-9.1 Priority: optional Section: python Source: tensorboard (0.4.0~rc3-1) Maintainer: Adam Cecile Installed-Size: 2013 Depends: python3-bleach (>= 1.5.0), python3-html5lib (>= 0.9999999), python3-markdown (>= 2.6.8), python3-numpy (>= 1.11.0), python3-protobuf (>= 3.3.0), python3-six (>= 1.10.0), python3-werkzeug (>= 0.11.10), python3-wheel, python3:any (>= 3.4~) Breaks: python3-tensorflow (<< 1.4~) Filename: pool-stretch/python-tensorboard/0.4.0/python3-tensorboard_0.4.0~rc3-1+Debian-stretch-9.1_all.deb Size: 1592512 MD5sum: 6def92f726ed1cb447ca937bb3a09efe SHA1: 6742da3339da917a939e7766fa313ac764231b47 SHA256: 693a4d4c0a28f9c5d84664dfdd06ce195ab02b7cee55153b4daa4882c21af597 SHA512: 5924223d3c07b5063b7145221e11fade9336189b6cd65060886913a2c2af85292e915c0ea43f0055c22ad99973c433a39a4fa7d8702dce9f0ee0915e6a879684 Homepage: https://github.com/tensorflow/tensorboard Description: suite of web applications for inspecting TensorFlow runs and graphs (Python 3) The computations you'll use TensorFlow for - like training a massive deep neural network - can be complex and confusing. . To make it easier to understand, debug, and optimize TensorFlow programs, we've included a suite of visualization tools called TensorBoard. . You can use TensorBoard to visualize your TensorFlow graph, plot quantitative metrics about the execution of your graph, and show additional data like images that pass through it. . This package installs the library for Python 3. 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To make it easier to understand, debug, and optimize TensorFlow programs, we've included a suite of visualization tools called TensorBoard. . You can use TensorBoard to visualize your TensorFlow graph, plot quantitative metrics about the execution of your graph, and show additional data like images that pass through it. . This package installs the library for Python 3. 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To make it easier to understand, debug, and optimize TensorFlow programs, we've included a suite of visualization tools called TensorBoard. . You can use TensorBoard to visualize your TensorFlow graph, plot quantitative metrics about the execution of your graph, and show additional data like images that pass through it. . This package installs the library for Python 2. 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To make it easier to understand, debug, and optimize TensorFlow programs, we've included a suite of visualization tools called TensorBoard. . You can use TensorBoard to visualize your TensorFlow graph, plot quantitative metrics about the execution of your graph, and show additional data like images that pass through it. . This package installs the library for Python 3. 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To make it easier to understand, debug, and optimize TensorFlow programs, we've included a suite of visualization tools called TensorBoard. . You can use TensorBoard to visualize your TensorFlow graph, plot quantitative metrics about the execution of your graph, and show additional data like images that pass through it. . This package installs the library for Python 2. 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To make it easier to understand, debug, and optimize TensorFlow programs, we've included a suite of visualization tools called TensorBoard. . You can use TensorBoard to visualize your TensorFlow graph, plot quantitative metrics about the execution of your graph, and show additional data like images that pass through it. . This package installs the library for Python 3. 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To make it easier to understand, debug, and optimize TensorFlow programs, we've included a suite of visualization tools called TensorBoard. . You can use TensorBoard to visualize your TensorFlow graph, plot quantitative metrics about the execution of your graph, and show additional data like images that pass through it. . This package installs the library for Python 3. 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To make it easier to understand, debug, and optimize TensorFlow programs, we've included a suite of visualization tools called TensorBoard. . You can use TensorBoard to visualize your TensorFlow graph, plot quantitative metrics about the execution of your graph, and show additional data like images that pass through it. . This package installs the library for Python 3. 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To make it easier to understand, debug, and optimize TensorFlow programs, we've included a suite of visualization tools called TensorBoard. . You can use TensorBoard to visualize your TensorFlow graph, plot quantitative metrics about the execution of your graph, and show additional data like images that pass through it. . This package installs the library for Python 2. 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To make it easier to understand, debug, and optimize TensorFlow programs, we've included a suite of visualization tools called TensorBoard. . You can use TensorBoard to visualize your TensorFlow graph, plot quantitative metrics about the execution of your graph, and show additional data like images that pass through it. . This package installs the library for Python 3. 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To make it easier to understand, debug, and optimize TensorFlow programs, we've included a suite of visualization tools called TensorBoard. . You can use TensorBoard to visualize your TensorFlow graph, plot quantitative metrics about the execution of your graph, and show additional data like images that pass through it. . This package installs the library for Python 2. 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To make it easier to understand, debug, and optimize TensorFlow programs, we've included a suite of visualization tools called TensorBoard. . You can use TensorBoard to visualize your TensorFlow graph, plot quantitative metrics about the execution of your graph, and show additional data like images that pass through it. . This package installs the library for Python 3. 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To make it easier to understand, debug, and optimize TensorFlow programs, we've included a suite of visualization tools called TensorBoard. . You can use TensorBoard to visualize your TensorFlow graph, plot quantitative metrics about the execution of your graph, and show additional data like images that pass through it. . This package installs the library for Python 2. Package: python3-tensorboard Architecture: all Version: 1.8.0-1+Debian.stretch.9.5 Priority: optional Section: python Source: tensorboard (1.8.0-1) Maintainer: Adam Cecile Installed-Size: 3590 Depends: python3-bleach (>= 1.5.0), python3-html5lib (>= 0.9999999), python3-markdown (>= 2.6.8), python3-numpy (>= 1.11.0), python3-protobuf (>= 3.3.0), python3-six (>= 1.10.0), python3-werkzeug (>= 0.11.10), python3-wheel, python3:any (>= 3.4~) Breaks: python3-tensorflow (>= 1.9.0~), python3-tensorflow (<< 1.8~) Filename: pool-stretch/python-tensorboard/1.8.0/python3-tensorboard_1.8.0-1+Debian.stretch.9.5_all.deb Size: 3006220 MD5sum: d543be445d6f092148bea3e8ef8a3f71 SHA1: 465ef73e1fddf9d3a329de53258f7f276e156bcc SHA256: 4c3dd4ab81d2297f0b938fff7f13b48bb45c3281423d910cb9ebbd7c99a44682 SHA512: 3ab3150dd7e5c2fb814423bee3e4a3443234231c62d292bad70fb55ff4fd39483e9e78321e8ce1144bee3a1c88346ccc2af91e717d74960f3ce257c43cadf288 Homepage: https://github.com/tensorflow/tensorboard Description: suite of web applications for inspecting TensorFlow runs and graphs (Python 3) The computations you'll use TensorFlow for - like training a massive deep neural network - can be complex and confusing. . To make it easier to understand, debug, and optimize TensorFlow programs, we've included a suite of visualization tools called TensorBoard. . You can use TensorBoard to visualize your TensorFlow graph, plot quantitative metrics about the execution of your graph, and show additional data like images that pass through it. . This package installs the library for Python 3. Package: python-tensorboard Architecture: all Version: 1.9.0-1+Debian.stretch.9.7 Priority: optional Section: python Source: tensorboard (1.9.0-1) Maintainer: Adam Cecile Installed-Size: 4153 Depends: python-concurrent.futures (>= 3), python-markdown (>= 2.6.8), python-numpy (>= 1.11.0), python-protobuf (>= 3.3.0), python-six (>= 1.10.0), python-werkzeug (>= 0.11.10), python-wheel, python:any (<< 2.8), python:any (>= 2.7.5-5~) Breaks: python-tensorflow (>= 1.10.0~), python-tensorflow (<< 1.9.0~) Filename: pool-stretch/python-tensorboard/1.9.0/python-tensorboard_1.9.0-1+Debian.stretch.9.7_all.deb Size: 3124628 MD5sum: 8c1bb41f7034052a44b0f526ca66ba34 SHA1: 02e44a7644c5161a5fe973ba00e67deee09782e2 SHA256: c45d80dcdb412c7898d374fc0d9b967e3b147ba13221f0e6f15f69b36933cac6 SHA512: e84dec34ca6a1a045556f1cdc78d211e207a2bccbed0653573a22e4958fb24b743fbf9052f8dd36baae244fd45ccad036ace9efa1b44476f5d2a8eecb91fcf15 Homepage: https://github.com/tensorflow/tensorboard Description: suite of web applications for inspecting TensorFlow runs and graphs (Python 2) The computations you'll use TensorFlow for - like training a massive deep neural network - can be complex and confusing. . To make it easier to understand, debug, and optimize TensorFlow programs, we've included a suite of visualization tools called TensorBoard. . You can use TensorBoard to visualize your TensorFlow graph, plot quantitative metrics about the execution of your graph, and show additional data like images that pass through it. . This package installs the library for Python 2. Package: python3-tensorboard Architecture: all Version: 1.9.0-1+Debian.stretch.9.7 Priority: optional Section: python Source: tensorboard (1.9.0-1) Maintainer: Adam Cecile Installed-Size: 4154 Depends: python3-markdown (>= 2.6.8), python3-numpy (>= 1.11.0), python3-protobuf (>= 3.3.0), python3-six (>= 1.10.0), python3-werkzeug (>= 0.11.10), python3-wheel, python3:any (>= 3.4~) Breaks: python3-tensorflow (>= 1.10.0~), python3-tensorflow (<< 1.9.0~) Filename: pool-stretch/python-tensorboard/1.9.0/python3-tensorboard_1.9.0-1+Debian.stretch.9.7_all.deb Size: 3124640 MD5sum: d59ced051ecea693448b9f6dca085caa SHA1: eae5d092032e944f31c21bd549961551b5f5f82b SHA256: 191e9d7c39f8cbc57ea923b10efcb37f77108314cfd2edb603199ff686cc3b49 SHA512: ed792aab99ae00276e638f2dcba04b844a3d5d0c420421d0e1df3f93ebd58225efa5c6bbc5fd21ccad493dd80496cdb95cc140ffa76e040ae8d3ef7b4ae73da7 Homepage: https://github.com/tensorflow/tensorboard Description: suite of web applications for inspecting TensorFlow runs and graphs (Python 3) The computations you'll use TensorFlow for - like training a massive deep neural network - can be complex and confusing. . To make it easier to understand, debug, and optimize TensorFlow programs, we've included a suite of visualization tools called TensorBoard. . You can use TensorBoard to visualize your TensorFlow graph, plot quantitative metrics about the execution of your graph, and show additional data like images that pass through it. . This package installs the library for Python 3. Package: python-tensorflow-avx-sse42 Architecture: amd64 Version: 1.10.1-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.10.1-1) Maintainer: Adam Cecile Installed-Size: 244653 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.10.0~), python-tensorboard (<< 1.11.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.10.1/python-tensorflow-avx-sse42_1.10.1-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 44727946 MD5sum: 55df71c99bf28956be1b4ec5fc4fee01 SHA1: 3660ba96197b6a82d05768896bcb4451e44527fd SHA256: 9e253ad48bb8cfdaea8d52d2c196085cbb47f887b8470825d1ca315e6ca2e86b SHA512: 17aeacbf1bfc3e8079f1e25e73e7847d5d2faec6572adfa1fd3b3e176919c0feec1cee2495702b0846a31cb04a0dbe55934e18a355271623fdaf15c3d3c840e3 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python-tensorflow-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.10.1-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.10.1-1) Maintainer: Adam Cecile Installed-Size: 260781 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.10.0~), python-tensorboard (<< 1.11.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.10.1/python-tensorflow-avx2-sse42-fma-mkl-dnn_1.10.1-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 47447338 MD5sum: b68aea562138a1b80e0ffbd9e82c70e4 SHA1: b967dffeab6df9bf387bb81a71fc0c2113b85d3d SHA256: e337fa6cd056f55ca21e844a4fccab11a9edd41dc747d80cfcd86804dac15a68 SHA512: 33af500ad9f1c8d5a45db3381e3298e6617e1e94855e258471186ab1801da3f2d502fdd31084582690259ee0a0afdc21a6fb705b293fed4344a9fb73bd28c7d0 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python-tensorflow-avx2-sse42-fma Architecture: amd64 Version: 1.10.1-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.10.1-1) Maintainer: Adam Cecile Installed-Size: 244925 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.10.0~), python-tensorboard (<< 1.11.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.10.1/python-tensorflow-avx2-sse42-fma_1.10.1-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 44819036 MD5sum: fd56876db4197a50d92800c4c8ccab30 SHA1: 5fe370a72612488a31c8a1e51020470887f9814e SHA256: cae8defe73ac4e822e6e19a421f189f566975c560527cc15706ec940b158ab0a SHA512: f2a307355f77e43b9f6cc992148215af398de6b4910ef210bd89f0884329ddebc82d3df9e387741248db68456ec2cb463607efef598ea88a1151eab08ce7ce9b Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python-tensorflow-cuda-avx-sse42 Architecture: amd64 Version: 1.10.1-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.10.1-1) Maintainer: Adam Cecile Installed-Size: 1044324 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.10.0~), python-tensorboard (<< 1.11.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.10.1/python-tensorflow-cuda-avx-sse42_1.10.1-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 109447840 MD5sum: 10472646775f275b16dcc6df50e4cb74 SHA1: b23181e913976f241ac8bd2e58bddafad135b4f3 SHA256: b07f1148e77c9d876eb0b014e4c8f15aedb64b0cfb95010e276646be2bc2a5e6 SHA512: 2290e025167411f5935f11508be534c24ca241ad718658ce6bd6f8cb136530a4bdc0bd1f35a206c02e3dea440268872275a30c23525839f85f9b42808d4cd49c Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.10.1-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.10.1-1) Maintainer: Adam Cecile Installed-Size: 1061180 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.10.0~), python-tensorboard (<< 1.11.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.10.1/python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.10.1-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 111167204 MD5sum: 898d5e4173eb0f5670f07d740bf4846c SHA1: d7b473a8bfdd92b1d295edbc74eee984c37a76a6 SHA256: 1047f3e6002582a9fbcd1b041d82b6ad1462211fc2350e69cca647418b3b5c95 SHA512: d12cf82f50de8dbcebce3e945755c580c297eb6ef0fa695608f154c3f2c4a4232eaf53efaeeeff9a2bfaff0d6e45f01514491dc704e0bff5f5725b6f10be19b0 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python-tensorflow-cuda-avx2-sse42-fma Architecture: amd64 Version: 1.10.1-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.10.1-1) Maintainer: Adam Cecile Installed-Size: 1044428 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.10.0~), python-tensorboard (<< 1.11.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.10.1/python-tensorflow-cuda-avx2-sse42-fma_1.10.1-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 109392366 MD5sum: 3b76fca8ec289e75e05597767013a297 SHA1: d95dc92b5ca37f2dfd685889288f65f949a46f57 SHA256: 607fb264c480f151ef53c497c1fba8231c5120ea5910096d5b3eb9e66f8f9f83 SHA512: 6b6a0f1d9650ca3ac1463e1bf96c7b849139b49492894cfd64cd3e64e27233916cf0f5fcfcd781c25011f005ef0c83658d9f869aa66617827aec7d0f06a6288a Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python3-tensorflow-avx-sse42 Architecture: amd64 Version: 1.10.1-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.10.1-1) Maintainer: Adam Cecile Installed-Size: 244631 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.10.0~), python3-tensorboard (<< 1.11.0~), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.10.1/python3-tensorflow-avx-sse42_1.10.1-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 44735748 MD5sum: 29c803c40ff32db5dd75a2c56676c495 SHA1: 919465e4ed6e8bbdedc825b1fd3a8855bc632486 SHA256: d5f5ec1831f8e232b29d09d5ce0a31d90c1d455720bfd6cf086d6d1f932d6198 SHA512: f7ccc908acc29a328b22ed910fa1ade91a1808e38f3f4a51cf2c47b1fd66c6b9a2018d4557c2d03ca613b5ceeeada64c4166194d3ccf0508993eebbd3c2ee9c0 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python3-tensorflow-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.10.1-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.10.1-1) Maintainer: Adam Cecile Installed-Size: 260763 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.10.0~), python3-tensorboard (<< 1.11.0~), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.10.1/python3-tensorflow-avx2-sse42-fma-mkl-dnn_1.10.1-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 47442674 MD5sum: 5b00ab42f0a6719f65f880009a34057b SHA1: cfc9bc670d023845c98466c50bc7afa622f2db75 SHA256: f2019fb3a8d4e8fa1b96854106bfedea5e566bd8947b36075cdecf5e65487932 SHA512: feafb6a6ebc3c85d30114d65f0156077b226e7a34e6b63310672ddfd642462eceb0b262e6a9eb52f28a183b1221a63e654e1b9762b100dca5653d9aa0be6673a Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python3-tensorflow-avx2-sse42-fma Architecture: amd64 Version: 1.10.1-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.10.1-1) Maintainer: Adam Cecile Installed-Size: 244911 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.10.0~), python3-tensorboard (<< 1.11.0~), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.10.1/python3-tensorflow-avx2-sse42-fma_1.10.1-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 44794856 MD5sum: 4afa0b6dbb210f6d92ec9142f961961e SHA1: 93edffe8ca288f3a3ead884c1e229d158127253a SHA256: 4cafc88bcddf41eb3213b2da6c3875eff6df3589c7ac023946edc5b9eb0bd76d SHA512: b2b5a585b3ffbf64a435e1301acfdbe348913ad9f00d12e3232d5cd014b649031c4422119aa585f731e5dfad4b4629768087b45396445ec01253193124955280 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python3-tensorflow-cuda-avx-sse42 Architecture: amd64 Version: 1.10.1-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.10.1-1) Maintainer: Adam Cecile Installed-Size: 1044301 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.10.0~), python3-tensorboard (<< 1.11.0~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.10.1/python3-tensorflow-cuda-avx-sse42_1.10.1-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 109306318 MD5sum: 97550382023c8c3f5f8587c47cbf2265 SHA1: 49d2ef1c4c2f27c34d3ca5045e1284d0e41f49d8 SHA256: e7695c5c4c3d56e6d58d97e30c12c51dd4d647f34535ce118fcacafbdfd116ef SHA512: 1a5f7d74c0f77ecfd5c12bb34c70baeffeca3e66a23c71d8b85440aa6310ea84c1dd649804fca87db51a8e36a27c12d1f9838cc4a848bfa9957887aa32bfdf65 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.10.1-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.10.1-1) Maintainer: Adam Cecile Installed-Size: 1061161 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.10.0~), python3-tensorboard (<< 1.11.0~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.10.1/python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.10.1-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 111207940 MD5sum: 6c5cdbf8152f8209480f40afaa50d017 SHA1: d11cd6faba0270393ca68530f378ea8456501030 SHA256: 2583bfdc35906b0ea10260be922a20fd1e27caf40716de656b8025ac49a6f1fb SHA512: 956fe8d8000531e01522c8c2435d13954fe19b14c197ac3a022178f28cc87f1d9560bab80e1c39a69b56dc42e76939320fc149b8e2be79356b5782cc6cfbd706 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python3-tensorflow-cuda-avx2-sse42-fma Architecture: amd64 Version: 1.10.1-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.10.1-1) Maintainer: Adam Cecile Installed-Size: 1044413 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.10.0~), python3-tensorboard (<< 1.11.0~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.10.1/python3-tensorflow-cuda-avx2-sse42-fma_1.10.1-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 109386856 MD5sum: e6361c44e304ac35a1d924a6c824558e SHA1: 41cf9d7858f854ea055227749a18c453ac11266c SHA256: bf063156a5d3729d835b16d3569aa699096c295ce493c6db70a57018fc3d3823 SHA512: f047e41bf1a308915da75b0f9bf6682dea4d1a2430c3ad9d8385ff4c4ff161bf90551827e03312e782db063e2c059edfd5eeed350196e211f62fdf840ba57e69 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: tensorflow-tools Architecture: all Version: 1.10.1-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.10.1-1) Maintainer: Adam Cecile Installed-Size: 18 Depends: python3.5:any, python3:any (>= 3.4~), python3-tensorflow (>= 1.10.1-1), python3-tensorflow (<< 1.10.1.0~) Filename: pool-stretch/python-tensorflow-cuda/1.10.1/tensorflow-tools_1.10.1-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_all.deb Size: 6772 MD5sum: c4fa9020cd12c09663c87f46533a8269 SHA1: 2456cfbc26909b0d689e73fd35ff777e9516c2aa SHA256: ebfd0e643b88eb14065d17daa0dc868711006afb74aea9cdd7edad06d87b014c SHA512: 5e638cd7ccdbcec00db00f4bfc03de1e2952737072b2720f60b2e09b98dcdf6e803c6ee980e743d9e7d24791ac69a793168e258cda7d34b8ec69668a3721b629 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (cli tools) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package contains "saved_model_cli" and "tensorboard" command line tools. Package: python-tensorflow-avx-sse42 Architecture: amd64 Version: 1.11.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-1) Maintainer: Adam Cecile Installed-Size: 244653 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.6.0~), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.11.0~), python-tensorboard (<< 1.12.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.11.0/python-tensorflow-avx-sse42_1.11.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 44728372 MD5sum: 6d7f5526bf4f04417e69112185a6d645 SHA1: e2ac76c8b2d9445c2b1b1f8562f1b048613717e4 SHA256: 3956cac46b946a717afcc51ea0cdedcc9096b83a3b18f60b15439fb614de61cd SHA512: 141cc3dbd66131d30e997cc0805e1a248004faece777934068ca950141702555727298bbade9f154a0b7db52e404eadc27e14d4d2ecfc7653873b82d826d52ff Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python-tensorflow-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.11.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-1) Maintainer: Adam Cecile Installed-Size: 260781 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.6.0~), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.11.0~), python-tensorboard (<< 1.12.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.11.0/python-tensorflow-avx2-sse42-fma-mkl-dnn_1.11.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 47444718 MD5sum: 87f87a8b3269b8fe473ad651069631c7 SHA1: 52940614009e5cb87eb33b4ba66b37b567d0c29d SHA256: 7cb572a5e07e01c1608a6313de3fff5ab2e8795f5bc4a19cfc7e843fc803e5a5 SHA512: ad115d9be3c71cd105e0524ae4e52f879c7c2d9b5c80c151a1982b6664f748c6caa434ef8e4d686b3f015190a9acddb6e8001dc228950480e68f2d7ca3d392e3 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python-tensorflow-avx2-sse42-fma Architecture: amd64 Version: 1.11.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-1) Maintainer: Adam Cecile Installed-Size: 244925 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.6.0~), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.11.0~), python-tensorboard (<< 1.12.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.11.0/python-tensorflow-avx2-sse42-fma_1.11.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 44826198 MD5sum: 12805786c10a3c69acd1aa79c5505fe9 SHA1: 4cdf44225037c2e1b618cbe22262d56ceff92832 SHA256: 86ac3415e654a34855befb6f934d0811f16103e8cd19a941ed9ad76a97d596de SHA512: b91b6ded60d7f2aeabaec9398be3839698dac9f9d70a9de25be9d049ba4dc3ea76fdfcbf8faa148a5fddc37893b28ae1fd1b26ad0dd1a05bd45859fbc7f928d0 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python-tensorflow-cuda-avx-sse42 Architecture: amd64 Version: 1.11.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-1) Maintainer: Adam Cecile Installed-Size: 1044324 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.6.0~), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.11.0~), python-tensorboard (<< 1.12.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.11.0/python-tensorflow-cuda-avx-sse42_1.11.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 109420368 MD5sum: d9954338bcd88e9fe4f38af94b629a54 SHA1: bf9b67a4b16201a288d474881e6f59659a8bf363 SHA256: 78d44197db664448abc8cd8f7a55d0b92eb18ee2841a323b54e3052b287f27a3 SHA512: 1aed282eef3ae9460c196097e8738c445089606656606ef2247aacd2e38ff2e6902a6f346bd58f73c5874c78f6eb37d2248ff9ed429925db651ee43645888257 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.11.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-1) Maintainer: Adam Cecile Installed-Size: 1061180 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.6.0~), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.11.0~), python-tensorboard (<< 1.12.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.11.0/python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.11.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 111154532 MD5sum: 99ff2b398b16db2d88cc090fb78c84e8 SHA1: 63bff3e82a0c958ca934e945d3b6fc061de200eb SHA256: 3f22f79e4789060f990961c5744177a8033d8a37bab268f290fcba2de12a620d SHA512: 07a218b65f0ecbcf8a9d0ebed04ad0136539440d561c875e7f566d52078dfb25a84a1fe92162f07b0b7c13fb4a6e3b38c24885b1777a2b086029ab1db1f9c060 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python-tensorflow-cuda-avx2-sse42-fma Architecture: amd64 Version: 1.11.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-1) Maintainer: Adam Cecile Installed-Size: 1044428 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.6.0~), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.11.0~), python-tensorboard (<< 1.12.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.11.0/python-tensorflow-cuda-avx2-sse42-fma_1.11.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 109387620 MD5sum: ad8adda03b47600fa6f53c90cc5828f6 SHA1: 963014cd00c36a3570112df04ec58b729d81bee1 SHA256: fbf18e75f23b167a969f497e1b81709164a097a05255da9d8dee8e685814d98b SHA512: 2df0263584057738658aede5dcb1373de546fba659b62cd46504a0996edc943b51b113da2010921d252b83d76c651fc7f6c7ba5e06247e8192b395b397bf50d2 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python3-tensorflow-avx-sse42 Architecture: amd64 Version: 1.11.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-1) Maintainer: Adam Cecile Installed-Size: 244631 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.6.0~), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.11.0~), python3-tensorboard (<< 1.12.0~), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.11.0/python3-tensorflow-avx-sse42_1.11.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 44741440 MD5sum: 663f312702567ede2d5398708b871ddb SHA1: ff02ea8f6e182da7239a69486ed60e61a7f01b49 SHA256: 32372818f4766de32f824f8e7a4d394358db4e6218e82494e1ddce9248db71e7 SHA512: 0a1197c647690b65b613d8f4a9c6215397edd4ec1755bcf06b35b4e9cbf0ca82ac68068cafa4b4f6c42f0b5ffe3531163703e8a82c05af6951d2330285051fb7 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python3-tensorflow-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.11.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-1) Maintainer: Adam Cecile Installed-Size: 260763 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.6.0~), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.11.0~), python3-tensorboard (<< 1.12.0~), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.11.0/python3-tensorflow-avx2-sse42-fma-mkl-dnn_1.11.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 47464184 MD5sum: 17f53e27bc35de7c8c49687fdc9b57db SHA1: e2ca4acb014a65166952d5ada90f7eacaa959559 SHA256: 8ee64f7828af17623a7986d9caa3ef9479822d4dbed60eb329e3175a982c820a SHA512: cd8be23fd747eec07a9a662b7f1e8eb3cfee9448d6d8b7b916be5d3987bbedb41f2785305373c83213d33f3d7b2f3f9fc407a8e33158a2432ce40ebd66f78dde Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python3-tensorflow-avx2-sse42-fma Architecture: amd64 Version: 1.11.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-1) Maintainer: Adam Cecile Installed-Size: 244911 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.6.0~), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.11.0~), python3-tensorboard (<< 1.12.0~), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.11.0/python3-tensorflow-avx2-sse42-fma_1.11.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 44790058 MD5sum: 52751a33b48018ce87cfb1d80b82f012 SHA1: 846f81b59b0ec361548302f3ca2a0d768e782017 SHA256: 79e6796d63ecbfba6de4968cd542a5edb4cd753b17fe137847be153a40840bff SHA512: 5e05786d82d35ce892ed5acd061e66bd1e9d2c17c07bf54f2c64428776c384153c7c86754f6fad964d83842403fa8e404dce46460340e67fd8f2d1af89c2e559 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python3-tensorflow-cuda-avx-sse42 Architecture: amd64 Version: 1.11.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-1) Maintainer: Adam Cecile Installed-Size: 1044301 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.6.0~), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.11.0~), python3-tensorboard (<< 1.12.0~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.11.0/python3-tensorflow-cuda-avx-sse42_1.11.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 109198686 MD5sum: a483ac6b0f108408154a11ff1e647ab6 SHA1: 3b72db47a3d32a2c9ecfac53705fe82f3124c4ae SHA256: eadb8e84e0137f060c9401e22caefc21b17b48cf2fb49083387a2c535e4d24ea SHA512: 6655cf1e7a317d452ed99ace8c4f0d3954726844d8ed85012a612e12af3cddd1cb4cf709b05c12ff4cfeb9a387b3c806568abe53f4176d2cc3df6fe2db497c2c Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.11.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-1) Maintainer: Adam Cecile Installed-Size: 1061161 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.6.0~), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.11.0~), python3-tensorboard (<< 1.12.0~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.11.0/python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.11.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 111217278 MD5sum: 535ce519a0691ffa16e68aa5c22d226d SHA1: 62a38da12ec9a0715442ab01dbd0aa1807380989 SHA256: 10cdf082b6340e71028a00befcac8326b0bd2f90aa3148d248212d9eee1c6d6e SHA512: 2e80171d335961cb308fc42afa869cbc1dec8737bb2fc9fed810ba4a2ce882da6d80c7460fc9db036b7db564b91d3836f4df2b5c975cf869c7335019355c0329 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python3-tensorflow-cuda-avx2-sse42-fma Architecture: amd64 Version: 1.11.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-1) Maintainer: Adam Cecile Installed-Size: 1044413 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.6.0~), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.11.0~), python3-tensorboard (<< 1.12.0~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.11.0/python3-tensorflow-cuda-avx2-sse42-fma_1.11.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 109425602 MD5sum: a664ea6b4a85e7b0b5507b4c0fc3c8f1 SHA1: 0d6c50c666b6df233bf6a6fd873b55aaa289b672 SHA256: b618cf6b70d8ca36472be61c3c579bb95e308556e821370a8a8b669c28eb44ba SHA512: 982e77d3b7dbe401fcdbb362bddf1a1dd9436e0360dae55e2afad5562e193b9add4c628288e62457a4ff7b5c06d04deba37babb7372d367b97d2193e8d979c8d Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: tensorflow-tools Architecture: all Version: 1.11.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-1) Maintainer: Adam Cecile Installed-Size: 18 Depends: python3.5:any, python3:any (>= 3.4~), python3-tensorflow (>= 1.11.0-1), python3-tensorflow (<< 1.11.0.0~) Filename: pool-stretch/python-tensorflow-cuda/1.11.0/tensorflow-tools_1.11.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_all.deb Size: 6818 MD5sum: 10d106c07aa2bad82028923ff8706622 SHA1: 3b5d3346f0e1b34e9b923ceb9037ca8ae102377d SHA256: 4a26a869b4b0968a0c508872f2f7a9f96d836ed4b28284d973dc6fe861dffb9f SHA512: 9521638cdde6ff0480d57c6c79c38815816461c56e13ef5030ecd29c0891e6a922372350664c44d7f2037913fdcf7128755e506a24ea4f13876704383e49e694 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (cli tools) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package contains "saved_model_cli" and "tensorboard" command line tools. Package: python-tensorflow-avx-sse42 Architecture: amd64 Version: 1.2.1-2+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.2.1-2) Maintainer: Adam Cecile Installed-Size: 153690 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1.11.0), python-six (>= 1.10.0), python-protobuf (>= 3.2.0), python-werkzeug (>= 0.11.10), python-html5lib (>= 0.9999999), python-bleach (>= 1.5.0), python-backports.weakref (>= 1.0~rc1), python-mock (>= 2.0.0), libc6 (>= 2.23), libgcc1 (>= 1:3.0), libibverbs1 (>= 1.1.6), libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.2.1/python-tensorflow-avx-sse42_1.2.1-2+Debian-stretch-9.1_amd64.deb Size: 20465344 MD5sum: a3f5f7323daa19484a7a32429e7bc327 SHA1: 51c6d4e9f1814305a31680204af871d4a3ce7889 SHA256: 6018d0e09731d736adb000cd415899879111a9ddf8896bd803c0e39b77e36901 SHA512: 6b8c61416178f90d3306677fc052061930fc3724c3106dd4a03a490dcebada1e47afe99e5cd20279e78a705ecf3ebd7f91c553d592ee9ddd8e7375b6e363ec3f Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python-tensorflow-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.2.1-2+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.2.1-2) Maintainer: Adam Cecile Installed-Size: 278207 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1.11.0), python-six (>= 1.10.0), python-protobuf (>= 3.2.0), python-werkzeug (>= 0.11.10), python-html5lib (>= 0.9999999), python-bleach (>= 1.5.0), python-backports.weakref (>= 1.0~rc1), python-mock (>= 2.0.0), libc6 (>> 2.24), libc6 (<< 2.25), libgcc1 (>= 1:3.0), libibverbs1 (>= 1.1.6), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.2.1/python-tensorflow-avx2-sse42-fma-mkl-dnn_1.2.1-2+Debian-stretch-9.1_amd64.deb Size: 39397108 MD5sum: 59190dc385f01725d528cc04eb0700a9 SHA1: 02576f95b28527782cbdff526e0fcb7ca1ccd5ab SHA256: 4d7efb0be9435fda829b4cd226655a5cb3108c038bdb8dace975ac2ea6c23dd1 SHA512: 046bb9a1ecfc2ba73eb666ea1a29e61efbbdf84f6cf77a1eb50de177ab3e32b617d8c0c5e77e3386f58ef5294bdb3597a14c0b5ea7a7e01d3b10c7d01c550f15 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python-tensorflow-avx2-sse42-fma Architecture: amd64 Version: 1.2.1-2+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.2.1-2) Maintainer: Adam Cecile Installed-Size: 153872 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1.11.0), python-six (>= 1.10.0), python-protobuf (>= 3.2.0), python-werkzeug (>= 0.11.10), python-html5lib (>= 0.9999999), python-bleach (>= 1.5.0), python-backports.weakref (>= 1.0~rc1), python-mock (>= 2.0.0), libc6 (>= 2.23), libgcc1 (>= 1:3.0), libibverbs1 (>= 1.1.6), libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.2.1/python-tensorflow-avx2-sse42-fma_1.2.1-2+Debian-stretch-9.1_amd64.deb Size: 20476306 MD5sum: 97906ecec0d19468e8f6a06dfe05009e SHA1: 42fa72b345291c1909145fb3e7ef6e3a2fdc2480 SHA256: 53f937d80c35b3887ec6b441e5efb1a523823e2dd2577d74732ff3a8d63b4deb SHA512: a15975531b704922997fac059f7daf5adeaebae1b5c8d5ded29eea549bfbbc9887fefb4b1821f9674cdf53e099e7d93eb272aa2c3ffdae11afb4ef9b9b19c1e1 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python-tensorflow-cuda-avx-sse42 Architecture: amd64 Version: 1.2.1-2+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.2.1-2) Maintainer: Adam Cecile Installed-Size: 623930 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1.11.0), python-six (>= 1.10.0), python-protobuf (>= 3.2.0), python-werkzeug (>= 0.11.10), python-html5lib (>= 0.9999999), python-bleach (>= 1.5.0), python-backports.weakref (>= 1.0~rc1), python-mock (>= 2.0.0), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn6 (= 6.0.21-1+cuda8.0), libcufft8.0 (>= 3.0), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libstdc++6 (>= 4.9) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.2.1/python-tensorflow-cuda-avx-sse42_1.2.1-2+Debian-stretch-9.1_amd64.deb Size: 52384450 MD5sum: c5bb83ba529555b1ce40db1dd33ce9e5 SHA1: d1293e76a96ae137969a669f5dfff5df45a2b3b2 SHA256: 86d137fc0e371ce502a080e66aedb91872f7475067c6a64e9af1deb2708afcdd SHA512: 5c137c6984333c9ae8260b1b3c7e7d145875c865453783c307cb1f8bab9a93d5bd4a64535f9106618ae9faf590ce25acbda04a836eb0d8e925fc22d9ab8edbd2 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.2.1-2+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.2.1-2) Maintainer: Adam Cecile Installed-Size: 623289 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1.11.0), python-six (>= 1.10.0), python-protobuf (>= 3.2.0), python-werkzeug (>= 0.11.10), python-html5lib (>= 0.9999999), python-bleach (>= 1.5.0), python-backports.weakref (>= 1.0~rc1), python-mock (>= 2.0.0), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn6 (= 6.0.21-1+cuda8.0), libcufft8.0 (>= 3.0), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libstdc++6 (>= 4.9), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.2.1/python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.2.1-2+Debian-stretch-9.1_amd64.deb Size: 52507118 MD5sum: c065bdbb42cfbefbfd7bf58569967086 SHA1: 3e1de6c849acf2af3f4d4c31c98ed9e225e1ed79 SHA256: 16b29c0452ce8b7b8d03a87182d97c54e6a03115e241cf4e8f53d940964793dd SHA512: e0448a5826af065b35c7ff8df96ce12f96ca6e36e7aa573adb2d93bda4dfd43f9452cd27a45ddbfecdcf00cd6ea41219a286e870600fd6bf4caa175c60ddcbae Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python-tensorflow-cuda-avx2-sse42-fma Architecture: amd64 Version: 1.2.1-2+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.2.1-2) Maintainer: Adam Cecile Installed-Size: 624076 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1.11.0), python-six (>= 1.10.0), python-protobuf (>= 3.2.0), python-werkzeug (>= 0.11.10), python-html5lib (>= 0.9999999), python-bleach (>= 1.5.0), python-backports.weakref (>= 1.0~rc1), python-mock (>= 2.0.0), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn6 (= 6.0.21-1+cuda8.0), libcufft8.0 (>= 3.0), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libstdc++6 (>= 4.9) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.2.1/python-tensorflow-cuda-avx2-sse42-fma_1.2.1-2+Debian-stretch-9.1_amd64.deb Size: 52347164 MD5sum: 68062db3a51dc24b5e9787cfcf3a00cc SHA1: d74086b3af7cf66ca60b15ed2809b32e0704ddc7 SHA256: 9d74b2ab17b7f553bdd9d31df94521af91af5e2cf9573b7e75d6065d39cf8bac SHA512: 9f5d763e2c0ff193af736a0013236c571c1233cde2075bb245f1c02476003e776b3e8a1fe738b04e45cad435b20f58a09edddb4074025420ee4b04997024956d Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python3-tensorflow-avx-sse42 Architecture: amd64 Version: 1.2.1-2+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.2.1-2) Maintainer: Adam Cecile Installed-Size: 153685 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-six (>= 1.10.0), python3-protobuf (>= 3.2.0), python3-werkzeug (>= 0.11.10), python3-html5lib (>= 0.9999999), python3-bleach (>= 1.5.0), python3-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.0), libibverbs1 (>= 1.1.6), libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.2.1/python3-tensorflow-avx-sse42_1.2.1-2+Debian-stretch-9.1_amd64.deb Size: 20463060 MD5sum: 4c1ced654bbf7955e32ce03fa5bc7edb SHA1: 0c4ecd85ffcb8befb1394c2ef263280f48b7d49a SHA256: be7dc60df91607e36de6f7fbeb2fd19449e1daffcb3a1e4ea70a487639070805 SHA512: 8066bbde073414d9b9d248141cfdaf300b5d4c502705f0de5887e6e9ecebc204e5a51d2b297a9e9f3dae093fd046b0d47fda032fecbfb6cfe55b5776cd3006cb Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python3-tensorflow-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.2.1-2+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.2.1-2) Maintainer: Adam Cecile Installed-Size: 278206 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-six (>= 1.10.0), python3-protobuf (>= 3.2.0), python3-werkzeug (>= 0.11.10), python3-html5lib (>= 0.9999999), python3-bleach (>= 1.5.0), python3-backports.weakref (>= 1.0~rc1), libc6 (>> 2.24), libc6 (<< 2.25), libgcc1 (>= 1:3.0), libibverbs1 (>= 1.1.6), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.2.1/python3-tensorflow-avx2-sse42-fma-mkl-dnn_1.2.1-2+Debian-stretch-9.1_amd64.deb Size: 39396814 MD5sum: c395d9c5b5333af227c5cf4490852582 SHA1: 49646477d4dbb8aa900030c34bc2eb106243026d SHA256: 23797e463a03e68ec488a51db5763c8037e3d47cef622877dfc94a433bf0b0b3 SHA512: e074f2b0d8d4f426d8d91e750a65b65ec23aa131151b4bc7e0ec3e3d04590eabe9576e808527bff442fb2f0355471de2161d8c24a1d786bf211e15a9f316832f Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python3-tensorflow-avx2-sse42-fma Architecture: amd64 Version: 1.2.1-2+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.2.1-2) Maintainer: Adam Cecile Installed-Size: 153871 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-six (>= 1.10.0), python3-protobuf (>= 3.2.0), python3-werkzeug (>= 0.11.10), python3-html5lib (>= 0.9999999), python3-bleach (>= 1.5.0), python3-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.0), libibverbs1 (>= 1.1.6), libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.2.1/python3-tensorflow-avx2-sse42-fma_1.2.1-2+Debian-stretch-9.1_amd64.deb Size: 20502140 MD5sum: 2a586be9d87d6e15d20bb20fd28ad9ad SHA1: 5de109b9d4ac6d82381bf750a86a849602ca35f9 SHA256: 5da847817dc52476516b16ee8aebfa43400f5502c9a5d34cc88e287ad2da63e7 SHA512: 7684e39842b7dd8b4d06793aaafdb89ea642107edd8552f398992f6c15d534a3e41e3faaca1f1361f56b34ac3835e1179ea76491b6f315e1f61ec29c0372d066 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python3-tensorflow-cuda-avx-sse42 Architecture: amd64 Version: 1.2.1-2+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.2.1-2) Maintainer: Adam Cecile Installed-Size: 623925 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-six (>= 1.10.0), python3-protobuf (>= 3.2.0), python3-werkzeug (>= 0.11.10), python3-html5lib (>= 0.9999999), python3-bleach (>= 1.5.0), python3-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn6 (= 6.0.21-1+cuda8.0), libcufft8.0 (>= 3.0), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libstdc++6 (>= 4.9) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.2.1/python3-tensorflow-cuda-avx-sse42_1.2.1-2+Debian-stretch-9.1_amd64.deb Size: 52433482 MD5sum: 6f5e46ab7a85b3845a1d9c3478d3dee0 SHA1: 39e9bb6718e5765fa88e242e2000eadd6024d62b SHA256: cd0a1d224fa0451f6a42aaa65e4d483a140c88154de1c63338bb152724ab9f75 SHA512: 85c21b577f0ba6df0c9b52a8ebc968d228f293bfb80442faa584d8d4fb3cd8758fe91e9b24bb1e69825321522d1a2e057a956729e3eb8ec93f629c5243a014ff Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.2.1-2+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.2.1-2) Maintainer: Adam Cecile Installed-Size: 623284 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-six (>= 1.10.0), python3-protobuf (>= 3.2.0), python3-werkzeug (>= 0.11.10), python3-html5lib (>= 0.9999999), python3-bleach (>= 1.5.0), python3-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn6 (= 6.0.21-1+cuda8.0), libcufft8.0 (>= 3.0), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libstdc++6 (>= 4.9), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.2.1/python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.2.1-2+Debian-stretch-9.1_amd64.deb Size: 52658868 MD5sum: e43c4481789daa0495097a577a11ab64 SHA1: 2e082b08950668d282c1a1175fa02d8b2cc5c146 SHA256: 9085dc562316142063baa04bf2fb704621a130babaeb74f835699f260891cafc SHA512: 33c0786202fd0312f88e2630b26d9a2c68678f44ccf07b25b3998753eca444b9371afcca3bcd785d44d8d4cfba446fe62182cc4e22643feaf895e88a8f9721b6 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python3-tensorflow-cuda-avx2-sse42-fma Architecture: amd64 Version: 1.2.1-2+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.2.1-2) Maintainer: Adam Cecile Installed-Size: 624071 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-six (>= 1.10.0), python3-protobuf (>= 3.2.0), python3-werkzeug (>= 0.11.10), python3-html5lib (>= 0.9999999), python3-bleach (>= 1.5.0), python3-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn6 (= 6.0.21-1+cuda8.0), libcufft8.0 (>= 3.0), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libstdc++6 (>= 4.9) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.2.1/python3-tensorflow-cuda-avx2-sse42-fma_1.2.1-2+Debian-stretch-9.1_amd64.deb Size: 52410868 MD5sum: 4371a1ded802802a864998d08797ee35 SHA1: 6587b93ddf989003eb80d830e28cc94f351cc89d SHA256: 04a1e7090a70c6cd71b072883d8b17ba7cb6afd1a9762d410f93af721aae5ce3 SHA512: d9cec5b7cd548175eebecbc9936866d90e546b90965ff9c7323bb17bfbce41b1f8475371c6dc1a14115d344c6822fa6a1ffa7bf71fef0e445dfc67a8e969d7e3 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: tensorflow-tools Architecture: all Version: 1.2.1-2+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.2.1-2) Maintainer: Adam Cecile Installed-Size: 12 Depends: python3-tensorflow (>= 1.2.1-2), python3-tensorflow (<< 1.2.1.0~) Filename: pool-stretch/python-tensorflow-cuda/1.2.1/tensorflow-tools_1.2.1-2+Debian-stretch-9.1_all.deb Size: 3442 MD5sum: 8ec074cc3a1b06980277d4a43e6416de SHA1: 14085e4fb940ac5ca768c5f9e6c050c5b30240aa SHA256: 3e08c4fa3396cffb5b50ee308046939e185ebf815c6aa08491a2e4094a09e4ac SHA512: 0fabfb02a6cebccaf61bc602fb62ef16ba96364c0911878998623f7123cea39457fd039da926f700b32875c1818651e9cfaafe0ad1b67f04c753987b444a2a82 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (cli tools) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package contains "saved_model_cli" and "tensorboard" command line tools. Package: python-tensorflow-avx-sse42 Architecture: amd64 Version: 1.3.1-1+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.3.1-1) Maintainer: Adam Cecile Installed-Size: 162720 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1.11.0), python-six (>= 1.10.0), python-protobuf (>= 3.3.0), python-tensorboard (>= 0.1.0), python-tensorboard (<< 0.2.0), python-wheel (>= 0.26), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.0), libibverbs1 (>= 1.1.6), libopenmpi2, libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.3.1/python-tensorflow-avx-sse42_1.3.1-1+Debian-stretch-9.1_amd64.deb Size: 20297562 MD5sum: c4c5181f9aab16090c9876efe577aea3 SHA1: 8cd1931beb21a32295e80a8597d1cffbeb540f6a SHA256: 448ebf630bf6d7aba542aea6e7c291b2c57771c2475fccfeceb94f27aeb3e5ae SHA512: 26e1334705572debafc11b44d0d50e66bd88969ad70d6ccf4127e03388c23addce1acf08d613b09ecf99f9df9fd667e9548386e4804e5ca7f409f63a236fc67f Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python-tensorflow-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.3.1-1+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.3.1-1) Maintainer: Adam Cecile Installed-Size: 287489 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1.11.0), python-six (>= 1.10.0), python-protobuf (>= 3.3.0), python-tensorboard (>= 0.1.0), python-tensorboard (<< 0.2.0), python-wheel (>= 0.26), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>> 2.24), libc6 (<< 2.25), libgcc1 (>= 1:3.0), libibverbs1 (>= 1.1.6), libopenmpi2, libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.3.1/python-tensorflow-avx2-sse42-fma-mkl-dnn_1.3.1-1+Debian-stretch-9.1_amd64.deb Size: 39823966 MD5sum: 431ac49c51c7f746d7eb814f9fc05978 SHA1: 531f348b524030185e0254f533691fd29b79a758 SHA256: bd5f81cccd2126bc917a0987732ba529993a5160a13bb06c419ba91765fe537f SHA512: 37028a256f7e8c451358ebd7bd3ba10b6d5d1c5212dfbdc32dddeccff60a27c8e082bf3407857809063d99fe2cae0ae9d9b6da7f90f8656c9a00bf13da3a8f8d Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python-tensorflow-avx2-sse42-fma Architecture: amd64 Version: 1.3.1-1+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.3.1-1) Maintainer: Adam Cecile Installed-Size: 162907 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1.11.0), python-six (>= 1.10.0), python-protobuf (>= 3.3.0), python-tensorboard (>= 0.1.0), python-tensorboard (<< 0.2.0), python-wheel (>= 0.26), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.0), libibverbs1 (>= 1.1.6), libopenmpi2, libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.3.1/python-tensorflow-avx2-sse42-fma_1.3.1-1+Debian-stretch-9.1_amd64.deb Size: 20343792 MD5sum: cbbdbc5675fee7112e5941983867533a SHA1: bdd7bd10c5ce8b4e8a0e3e2aaa2119cb0e5a8517 SHA256: 5a884962d44893cc6d3a90e0aa85fa7f2e950693461abfcbd2432d767ab3524d SHA512: fdfdefbd53a441c56af8b78fa31c5226906577a1a0f5c826863add77ba2f1cc43dab2526dd7fd12125a0e364bf8c877a4e3d493f8415cdd52ed40b325d3fa7b2 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python-tensorflow-cuda-avx-sse42 Architecture: amd64 Version: 1.3.1-1+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.3.1-1) Maintainer: Adam Cecile Installed-Size: 685830 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1.11.0), python-six (>= 1.10.0), python-protobuf (>= 3.3.0), python-tensorboard (>= 0.1.0), python-tensorboard (<< 0.2.0), python-wheel (>= 0.26), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn6 (= 6.0.21-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, libstdc++6 (>= 4.9) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.3.1/python-tensorflow-cuda-avx-sse42_1.3.1-1+Debian-stretch-9.1_amd64.deb Size: 55306038 MD5sum: 6d17a892046b144da8e0cb15d769f77f SHA1: 64da336808f6f1cc77cbda33d35d5cd56daaf3ac SHA256: dc5900cc330c252aa5314e919c5cfd47f4ae41c4752733de5dd6cdbe9e8900c1 SHA512: ac2c3cadbefcf45c8b8b3d8a28e71ba5f0a99c799fec8de8a99852266b9c584783bd55af87efbbac57b26f8b67f524f6c3043748fb37f3c602417f7e6491762a Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.3.1-1+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.3.1-1) Maintainer: Adam Cecile Installed-Size: 685447 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1.11.0), python-six (>= 1.10.0), python-protobuf (>= 3.3.0), python-tensorboard (>= 0.1.0), python-tensorboard (<< 0.2.0), python-wheel (>= 0.26), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn6 (= 6.0.21-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, libstdc++6 (>= 4.9), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.3.1/python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.3.1-1+Debian-stretch-9.1_amd64.deb Size: 55404724 MD5sum: d1c18650730019222ce47464447c9c16 SHA1: dccf7740b555688750e8f1d05ed62345507e7428 SHA256: d2c537a6dba2f876fde986298b8d0aa1d5695a751b801bce420ec5e61a9c7c79 SHA512: 4730d064e1e66442f19a8d514ca5c32be8df208bf972ac6c77acda2356d099157633506705f5f014d85448616db32030906e8b8183b00495018d2e3e54d0e84e Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python-tensorflow-cuda-avx2-sse42-fma Architecture: amd64 Version: 1.3.1-1+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.3.1-1) Maintainer: Adam Cecile Installed-Size: 685972 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1.11.0), python-six (>= 1.10.0), python-protobuf (>= 3.3.0), python-tensorboard (>= 0.1.0), python-tensorboard (<< 0.2.0), python-wheel (>= 0.26), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn6 (= 6.0.21-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, libstdc++6 (>= 4.9) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.3.1/python-tensorflow-cuda-avx2-sse42-fma_1.3.1-1+Debian-stretch-9.1_amd64.deb Size: 55332802 MD5sum: d5852264c80644cf9392d4351ba632e6 SHA1: 3f328ad0c83b780699f03e1ad02e957cf8fbbb66 SHA256: d1c4b6e38be5901c3d28e4a8d116df54539710338fb617845c77d821d125db54 SHA512: 540753b9340704687d48e9d0842ed68ac3d6dee5e1f2164a1761ae6de86d83bb64cd8ec09e2c7f2d912908864623048d48ca16b385a8ba900a039c5900d7071e Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python3-tensorflow-avx-sse42 Architecture: amd64 Version: 1.3.1-1+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.3.1-1) Maintainer: Adam Cecile Installed-Size: 162719 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-six (>= 1.10.0), python3-protobuf (>= 3.3.0), python3-tensorboard (>= 0.1.0), python3-tensorboard (<< 0.2.0), python-wheel (>= 0.26), libc6 (>= 2.23), libgcc1 (>= 1:3.0), libibverbs1 (>= 1.1.6), libopenmpi2, libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.3.1/python3-tensorflow-avx-sse42_1.3.1-1+Debian-stretch-9.1_amd64.deb Size: 20313556 MD5sum: a769b19d9a7b432b8a44c18f544cab28 SHA1: e0eac9e0924bfaf94e451b559f1495caf2da6c88 SHA256: 434e9de3a91d2595951000901b226d86f5cc8795552098b5aea1b4311d09fda9 SHA512: a9143f7fbf1ad466a493123e7651b934d66326f1d04e43e3d755c063ce9acf810ef6064ac0ecb6979778879d57f2bf70055dc8967294d701194e68a7152cfd86 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python3-tensorflow-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.3.1-1+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.3.1-1) Maintainer: Adam Cecile Installed-Size: 287484 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-six (>= 1.10.0), python3-protobuf (>= 3.3.0), python3-tensorboard (>= 0.1.0), python3-tensorboard (<< 0.2.0), python-wheel (>= 0.26), libc6 (>> 2.24), libc6 (<< 2.25), libgcc1 (>= 1:3.0), libibverbs1 (>= 1.1.6), libopenmpi2, libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.3.1/python3-tensorflow-avx2-sse42-fma-mkl-dnn_1.3.1-1+Debian-stretch-9.1_amd64.deb Size: 39810704 MD5sum: 6ca0fc637666b437291510a247c7217a SHA1: 8aba682c4c6c969fc179717e265c39a7dce3cd63 SHA256: e611cddfae060ca45bde1417511eaffd50bc22debb1ebbbc39dc585bc64d4714 SHA512: 0fe4b2440079d5851e503ac676455641bee908d5eb8aa78f4c092a15459129bb57a3e59988beb77ed4b268b8aa9fe4a106cf87e7c940104cb3ab574e0054954a Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python3-tensorflow-avx2-sse42-fma Architecture: amd64 Version: 1.3.1-1+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.3.1-1) Maintainer: Adam Cecile Installed-Size: 162906 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-six (>= 1.10.0), python3-protobuf (>= 3.3.0), python3-tensorboard (>= 0.1.0), python3-tensorboard (<< 0.2.0), python-wheel (>= 0.26), libc6 (>= 2.23), libgcc1 (>= 1:3.0), libibverbs1 (>= 1.1.6), libopenmpi2, libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.3.1/python3-tensorflow-avx2-sse42-fma_1.3.1-1+Debian-stretch-9.1_amd64.deb Size: 20363994 MD5sum: 97f98c455be8092868d76e7e9bc26fb8 SHA1: e4bc1a38516ae4280f1143abc92701aa40de0993 SHA256: 3348c4e1bda00d82fb4154f911124375c672959cecee49e02c7e4da796817201 SHA512: 5691c22bbf4f549ed62a3d0db2f90237fd72ff6081a397d7181f0ec478f3da0235e4f3087c41f7a8a31c50331bec24be094a9700ba83dea9c6ce926717f2a64a Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python3-tensorflow-cuda-avx-sse42 Architecture: amd64 Version: 1.3.1-1+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.3.1-1) Maintainer: Adam Cecile Installed-Size: 685825 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-six (>= 1.10.0), python3-protobuf (>= 3.3.0), python3-tensorboard (>= 0.1.0), python3-tensorboard (<< 0.2.0), python-wheel (>= 0.26), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn6 (= 6.0.21-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, libstdc++6 (>= 4.9) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.3.1/python3-tensorflow-cuda-avx-sse42_1.3.1-1+Debian-stretch-9.1_amd64.deb Size: 55349944 MD5sum: 108de61a3afbc1f409748c08edf7a11c SHA1: 2f33dbb0d8bb5ee9bef071986b99fa065994dd91 SHA256: 2304f503abfa916da2f17bf93872bb160a493db8cdd4fe31996de3cd12007531 SHA512: 4bfffa7d1cf1669cbb76340b8c6646e95e14e830062303aa403146fd309a829330cc859e1e9d2098a9fb43e4134ea7471fe230c4b81b1097df8de3d97d6f484a Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.3.1-1+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.3.1-1) Maintainer: Adam Cecile Installed-Size: 685442 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-six (>= 1.10.0), python3-protobuf (>= 3.3.0), python3-tensorboard (>= 0.1.0), python3-tensorboard (<< 0.2.0), python-wheel (>= 0.26), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn6 (= 6.0.21-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, libstdc++6 (>= 4.9), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.3.1/python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.3.1-1+Debian-stretch-9.1_amd64.deb Size: 55404070 MD5sum: c79dd51983e031d117d9a9f572bd8f10 SHA1: 40d4ef846acd5a74c5970f264a7c20045a9649b8 SHA256: 81578cd8fc9cf65de5b99127c8faefd2ae36f5dfc4d1e79b16309abf86532753 SHA512: b81e935092012aaf1be3b77b7f577f2db46ffbe33231a6422e9b27087bf24de845798995421bcd4873584490c0a4478c2860c99c3c03c93fa4eb6a3c951c533b Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python3-tensorflow-cuda-avx2-sse42-fma Architecture: amd64 Version: 1.3.1-1+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.3.1-1) Maintainer: Adam Cecile Installed-Size: 685971 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-six (>= 1.10.0), python3-protobuf (>= 3.3.0), python3-tensorboard (>= 0.1.0), python3-tensorboard (<< 0.2.0), python-wheel (>= 0.26), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn6 (= 6.0.21-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, libstdc++6 (>= 4.9) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.3.1/python3-tensorflow-cuda-avx2-sse42-fma_1.3.1-1+Debian-stretch-9.1_amd64.deb Size: 55336168 MD5sum: 50ceb386177d309874d74e8051285c2f SHA1: da8a1e5e482722928b964737657eb74fc196d9ad SHA256: 8adf8791953be5fb4ac290a1dadf99bb4a78361d8f372f6faa96caa08c6f3612 SHA512: 8e245c8bde3937f2ec43a1e583511901ec8cec9c2fa8d8e4cf07df96a122b7ea5f18bf671ef7b70fc4b750e7c474f88a9a6f83e1cda679c30274ec639c4d0c63 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: tensorflow-tools Architecture: all Version: 1.3.1-1+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.3.1-1) Maintainer: Adam Cecile Installed-Size: 11 Depends: python3-tensorflow (>= 1.3.1-1), python3-tensorflow (<< 1.3.1.0~) Filename: pool-stretch/python-tensorflow-cuda/1.3.1/tensorflow-tools_1.3.1-1+Debian-stretch-9.1_all.deb Size: 4062 MD5sum: 2c392649b246558859e6535d44e2b44b SHA1: 30ba3aaba4f8a169778772b3a3a3ec3694504068 SHA256: 7bcc38e8033f8ac89255321d6d9ed34722d595bddddf5eee93c1b6ee3400d7da SHA512: 7721029d9acd7f2b1f3d673759d47874abf7de3c6a8e3c3791f53281ad8d8f2190eb6337ddbdbdf8394e0784111f2374787a9e8bc06e5102271274b37a928452 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (cli tools) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package contains "saved_model_cli" and "tensorboard" command line tools. Package: python-tensorflow-avx-sse42 Architecture: amd64 Version: 1.4.0-1+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.0-1) Maintainer: Adam Cecile Installed-Size: 197687 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1.11.0), python-six (>= 1.10.0), python-protobuf (>= 3.3.0), python-tensorboard (>= 0.4.0~), python-tensorboard (<< 0.5.0~), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.0/python-tensorflow-avx-sse42_1.4.0-1+Debian-stretch-9.1_amd64.deb Size: 31599788 MD5sum: e40d749cda46cedd0d225caed969c4f4 SHA1: bac632e25fef81e45ef5f16d031abd01f3382c15 SHA256: 2ab784b4b98cf31f00fb07dbf8c106541fa4eb817423508fbebb40769e477e17 SHA512: 268bd1905046744e45a6334b47d27a486ef98833a49309e299a454cde313c7b44713406145ec376755f28eb2456badee4ec620b1648bbd55703222f57e0e8ece Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python-tensorflow-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.4.0-1+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.0-1) Maintainer: Adam Cecile Installed-Size: 330685 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1.11.0), python-six (>= 1.10.0), python-protobuf (>= 3.3.0), python-tensorboard (>= 0.4.0~), python-tensorboard (<< 0.5.0~), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.0/python-tensorflow-avx2-sse42-fma-mkl-dnn_1.4.0-1+Debian-stretch-9.1_amd64.deb Size: 52067994 MD5sum: f5061eab4accb1eda72f603b9b59a733 SHA1: 799217a1f4d55812aeed1d0f06efad2d5d35ff25 SHA256: 9fe40298324900deb8674f55d8a93e53da57c1944bf5092a43623631d6e15b24 SHA512: 22210a8eb83536023df8a2847930438330113890a8f66154204dd9d90c133ab023c200df5312bb862e9e35ef22252799b05e103d2d79352a0cd2a8f0eac8678b Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python-tensorflow-avx2-sse42-fma Architecture: amd64 Version: 1.4.0-1+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.0-1) Maintainer: Adam Cecile Installed-Size: 197887 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1.11.0), python-six (>= 1.10.0), python-protobuf (>= 3.3.0), python-tensorboard (>= 0.4.0~), python-tensorboard (<< 0.5.0~), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.0/python-tensorflow-avx2-sse42-fma_1.4.0-1+Debian-stretch-9.1_amd64.deb Size: 31628424 MD5sum: c9438ac12325ca1eb833b1ffc225bcb8 SHA1: 0d01fb756b7adb298ffb32a76579672997168d7f SHA256: 80632074d48f6925fd556bbafd4ad3b553439d084d4490553989b5b117e614ba SHA512: 0070ca28c89a1b6db9528e20362985158f35b9ea8bfd6432fec53062d7b71aac2599d290e1e8880841b4ca1f3ae00c16acfddc11e630b49bf9999daa751d8bb0 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python-tensorflow-cuda-avx-sse42 Architecture: amd64 Version: 1.4.0-1+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.0-1) Maintainer: Adam Cecile Installed-Size: 771517 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1.11.0), python-six (>= 1.10.0), python-protobuf (>= 3.3.0), python-tensorboard (>= 0.4.0~), python-tensorboard (<< 0.5.0~), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn6 (= 6.0.21-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 8.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.0/python-tensorflow-cuda-avx-sse42_1.4.0-1+Debian-stretch-9.1_amd64.deb Size: 73800890 MD5sum: 8bdccb1400e6fd113330a056b8237fde SHA1: 2600c82357bb09f7bbee0b0955ff211691b581b1 SHA256: 46da8b28d4b0b74e60f2a5fa0308528d00b7962b71b417ac1567486e6869fdfb SHA512: a65fa311479bb75ca65abae447083572553c26b23cc9d9e77e822231be1a88258319c72ac1ae768e168e4920cdbdeecb8fccdb07822266315e4cef560b22bdbc Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.4.0-1+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.0-1) Maintainer: Adam Cecile Installed-Size: 780427 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1.11.0), python-six (>= 1.10.0), python-protobuf (>= 3.3.0), python-tensorboard (>= 0.4.0~), python-tensorboard (<< 0.5.0~), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn6 (= 6.0.21-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 8.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.0/python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.4.0-1+Debian-stretch-9.1_amd64.deb Size: 75491424 MD5sum: 30722a1d239aaaf344043ea82a20650e SHA1: 0744c9c60818b6adac57ef2e62da4ff34c60b25c SHA256: 1446369322322312666ca148c728fc61376381131333d278156b04925f3edd02 SHA512: d4881a4a281bd0259fbd6cf2ac26bc76b2647f118ab769a6a7fcd5ebe6eec94c0d0f0fd3429e17412beabae3c33c871db4abd48a0eeec2523fbabd9bb09821d6 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python-tensorflow-cuda-avx2-sse42-fma Architecture: amd64 Version: 1.4.0-1+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.0-1) Maintainer: Adam Cecile Installed-Size: 771680 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1.11.0), python-six (>= 1.10.0), python-protobuf (>= 3.3.0), python-tensorboard (>= 0.4.0~), python-tensorboard (<< 0.5.0~), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn6 (= 6.0.21-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 8.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.0/python-tensorflow-cuda-avx2-sse42-fma_1.4.0-1+Debian-stretch-9.1_amd64.deb Size: 73769528 MD5sum: 61e5b805e4b74b4d39d46f0098e1e44f SHA1: 6c37a0edd5f1409de1b0e1d63b08a2b185e787f5 SHA256: 903b609c3d0ea96c826e2ec6349c11e2bcdab74823b8b35dd78ecb12b30c6c7b SHA512: e64cf37c6236f9cb8912fc4fc31b1a6c7f4f2131e0c7cbbf33376606eb0ec60068e703fdf970a554132774b36fb9bce331d321d0585614edfc1841a9cfab6770 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python3-tensorflow-avx-sse42 Architecture: amd64 Version: 1.4.0-1+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.0-1) Maintainer: Adam Cecile Installed-Size: 197677 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-six (>= 1.10.0), python3-protobuf (>= 3.3.0), python3-tensorboard (>= 0.4.0~), python3-tensorboard (<< 0.5.0~), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.0/python3-tensorflow-avx-sse42_1.4.0-1+Debian-stretch-9.1_amd64.deb Size: 31601958 MD5sum: 6aecdcfb1b74ec4a0a859a51c6a1e5e5 SHA1: 241ce2b7f88974cf172a60d14867993fd0f631ec SHA256: 05259f0e1e0487d6e5aaef1fc101ea8d214bfc9b785b09cf175307e5680ffe3e SHA512: b789d065a250f9c1a30cd3ae726b411232172f3460917a0b66a69939c255c5cf2e376f57c3d5a1547104ba796f4c3b826db59812a16e35ab875aaf5f8860dfb6 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python3-tensorflow-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.4.0-1+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.0-1) Maintainer: Adam Cecile Installed-Size: 330679 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-six (>= 1.10.0), python3-protobuf (>= 3.3.0), python3-tensorboard (>= 0.4.0~), python3-tensorboard (<< 0.5.0~), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.0/python3-tensorflow-avx2-sse42-fma-mkl-dnn_1.4.0-1+Debian-stretch-9.1_amd64.deb Size: 52029182 MD5sum: 74b4baac65a68e8db66faf8573093384 SHA1: 3f9dcd6865864c9f32cd65e5777588d43743c62f SHA256: cd7c090b475b642dcc75baf98f542e7e9d18864fb6a29f26292ea7562d3dac16 SHA512: 99e810882b43605edc8ac0e4eae3dc104f6166ef6db2727bdb922e99e2880f8b0816215cb73db83397ecf53a3a3f40b8dc32d37cde8b7f601d46cd7b3f2ad399 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python3-tensorflow-avx2-sse42-fma Architecture: amd64 Version: 1.4.0-1+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.0-1) Maintainer: Adam Cecile Installed-Size: 197877 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-six (>= 1.10.0), python3-protobuf (>= 3.3.0), python3-tensorboard (>= 0.4.0~), python3-tensorboard (<< 0.5.0~), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.0/python3-tensorflow-avx2-sse42-fma_1.4.0-1+Debian-stretch-9.1_amd64.deb Size: 31624396 MD5sum: 8a503fd59c72de3b6b6d584b27331feb SHA1: 4eebb0eab4ae7d3abb284bdf529cc514a5d52e72 SHA256: ccdd8356b6682fa3e1c0dadfb91ff3f1bd996c237547d508c24a1a9229eb51c8 SHA512: 337249828ba72d3d64ba057fdbc872c689184d6ee5fd900392ea720bec78b7d5df5bc947ac15c971befb9faf0be33ea1eb3266ce42533897d2fbcad287e44ee0 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python3-tensorflow-cuda-avx-sse42 Architecture: amd64 Version: 1.4.0-1+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.0-1) Maintainer: Adam Cecile Installed-Size: 771515 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-six (>= 1.10.0), python3-protobuf (>= 3.3.0), python3-tensorboard (>= 0.4.0~), python3-tensorboard (<< 0.5.0~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn6 (= 6.0.21-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 8.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.0/python3-tensorflow-cuda-avx-sse42_1.4.0-1+Debian-stretch-9.1_amd64.deb Size: 73899376 MD5sum: 97c72654ce9a57392c05741adb07d72a SHA1: 3ccae27f1baae7b0b6da59318f1fd2acdb8271fd SHA256: 8cbf1c1c571f39bb1b29bc0a8b331d6a63302bf3e4f9c1d7ec1666d68375af5d SHA512: c1dda27bdc18af81187cc12cc1b5b745ed8d7904294b411b7bcbbba9b7841d86cc40ed8a32c847285ddaf593ff347ccb4a5d0fb818ff42c760c676c6c72a981b Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.4.0-1+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.0-1) Maintainer: Adam Cecile Installed-Size: 780422 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-six (>= 1.10.0), python3-protobuf (>= 3.3.0), python3-tensorboard (>= 0.4.0~), python3-tensorboard (<< 0.5.0~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn6 (= 6.0.21-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 8.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.0/python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.4.0-1+Debian-stretch-9.1_amd64.deb Size: 75543202 MD5sum: be5f14a24a1e592fbb3b3b2c467c55ab SHA1: 211bda34b0c49940013bf488288c99d567db8e61 SHA256: 2b68b4bf0efd6397ae74b48d52ab85de855b1b940e1a491e97c1ef1ac47613d8 SHA512: 1fe87679c3cb9a9ddc63d5b87b229341aa3ccbea069747bded6aae85e808de7458b9ce30e633e063b5a6082113acba7ab76357b937f7623ce468e8adab66a758 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python3-tensorflow-cuda-avx2-sse42-fma Architecture: amd64 Version: 1.4.0-1+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.0-1) Maintainer: Adam Cecile Installed-Size: 771678 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-six (>= 1.10.0), python3-protobuf (>= 3.3.0), python3-tensorboard (>= 0.4.0~), python3-tensorboard (<< 0.5.0~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn6 (= 6.0.21-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 8.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.0/python3-tensorflow-cuda-avx2-sse42-fma_1.4.0-1+Debian-stretch-9.1_amd64.deb Size: 73881476 MD5sum: 17d32f76bdcd593beb584d7df3d322e5 SHA1: 96d016d9beb86a837066daed7a49fb2d2f170f5a SHA256: 72b221e913711a4b3786741d48e7f4e9197397ed262575e5bd5b27dc6ec63b11 SHA512: d680980c860d445384ac09d3baff980cb1f25f79af59f8f216cb7fcf782b2cbcd5ede9b90f241036eced69c1da9634f67fb1fae662a3a18f7410c4eeabc3759b Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: tensorflow-tools Architecture: all Version: 1.4.0-1+Debian-stretch-9.1 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.0-1) Maintainer: Adam Cecile Installed-Size: 12 Depends: python3-tensorflow (>= 1.4.0-1), python3-tensorflow (<< 1.4.0.0~) Filename: pool-stretch/python-tensorflow-cuda/1.4.0/tensorflow-tools_1.4.0-1+Debian-stretch-9.1_all.deb Size: 4614 MD5sum: 6a4caa661ba04dd38ce58f36baabfea2 SHA1: 6f57a51825d529bcdac86d48641efb4858afa6ab SHA256: 30b0246b0c718d250b8e0b8827a1e4158b836b54b1a57f19d0b5c1259551759a SHA512: 5ef86ed2d7dc4f6fc7a5292ee6cbe3c39ce989021daf60314d70e35d95915166d6ae4d610b45e05aec4774576c55521e073386bbb166c9a52bc792428436fbf5 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (cli tools) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package contains "saved_model_cli" and "tensorboard" command line tools. Package: python-tensorflow-avx-sse42 Architecture: amd64 Version: 1.4.1-1+Debian-stretch-9.3 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-1) Maintainer: Adam Cecile Installed-Size: 197688 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1.11.0), python-six (>= 1.10.0), python-protobuf (>= 3.3.0), python-tensorboard (>= 0.4.0~), python-tensorboard (<< 0.5.0~), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.1/python-tensorflow-avx-sse42_1.4.1-1+Debian-stretch-9.3_amd64.deb Size: 31599332 MD5sum: 5ed157dc34afaaabc06223b1f2c63244 SHA1: 83cf764ec959670f36726971e001bd4c13127dba SHA256: 3aa9031e566545a096eb443fef64a729423380469cef86353750a5e64f6a0502 SHA512: 3079fb3bdb73eeaf3654285e9a7c191a9ef5b441b56e0a24895b9839ffd87afbc296074f098e0a2a3c212b7454c8d989dcf47a9eaa645313ed73b7dba9cf7281 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python-tensorflow-avx-sse42 Architecture: amd64 Version: 1.4.1-2+Debian-stretch-9.4 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-2) Maintainer: Adam Cecile Installed-Size: 197688 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-enum34, python-numpy (>= 1.11.0), python-six (>= 1.10.0), python-protobuf (>= 3.3.0), python-tensorboard (>= 0.4.0~), python-tensorboard (<< 0.5.0~), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.1/python-tensorflow-avx-sse42_1.4.1-2+Debian-stretch-9.4_amd64.deb Size: 31601036 MD5sum: bfff56086fdfcd44dd205d31d34759c4 SHA1: ff72baa57d760bd7a3ac0f82273ae5146f269617 SHA256: ec97e3f3c61f3ad588b3d6d01cbd4cc1e1fd9229688ca357986b154081fec02a SHA512: f28f4b5d98e9f1482a4d56d26070d205684bc277fb44ef987e2304a99d08613aa3d79f47e103ae8742e6d8508ca4dba7554af61b3143ea341b7e68e22c53d1b6 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python-tensorflow-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.4.1-1+Debian-stretch-9.3 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-1) Maintainer: Adam Cecile Installed-Size: 330686 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1.11.0), python-six (>= 1.10.0), python-protobuf (>= 3.3.0), python-tensorboard (>= 0.4.0~), python-tensorboard (<< 0.5.0~), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.1/python-tensorflow-avx2-sse42-fma-mkl-dnn_1.4.1-1+Debian-stretch-9.3_amd64.deb Size: 52060022 MD5sum: b2e662aa509d16e0d8d6b8621f58e5de SHA1: f38fffffea5492e6af3f00810966360b48f8f456 SHA256: c61827c2041f6c634c4db869ce64f3a94eda9192f41dedd336cdc08d297d2248 SHA512: fff429d000ce03b5d770fbe3e89a1b9a7503e472c4d48bbcd9dead0b4853dc0cfab4ed64378f05154775c9e85f402492d84cf3b0c815b075bed6eff6ee9bb31b Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python-tensorflow-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.4.1-2+Debian-stretch-9.4 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-2) Maintainer: Adam Cecile Installed-Size: 351460 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-enum34, python-numpy (>= 1.11.0), python-six (>= 1.10.0), python-protobuf (>= 3.3.0), python-tensorboard (>= 0.4.0~), python-tensorboard (<< 0.5.0~), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.1/python-tensorflow-avx2-sse42-fma-mkl-dnn_1.4.1-2+Debian-stretch-9.4_amd64.deb Size: 53781760 MD5sum: 5e3d77d0d900c0d5a6cc10d8d43a8fcd SHA1: 7cff539c09aeca68650478ae288a1e84a2524301 SHA256: 38ef24ac9fa8fd620684153e5b39b14f64a6c47c47368cab436c77e743bf96cb SHA512: 44ca175f63f6325ccfb38572586a86ed6b0aa1150d452c89d97e0355360cdbcc02b0800c9f1690e066087dca2b8c2d35fc07d83151de2658bab4a55e8a67f111 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python-tensorflow-avx2-sse42-fma Architecture: amd64 Version: 1.4.1-1+Debian-stretch-9.3 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-1) Maintainer: Adam Cecile Installed-Size: 197888 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1.11.0), python-six (>= 1.10.0), python-protobuf (>= 3.3.0), python-tensorboard (>= 0.4.0~), python-tensorboard (<< 0.5.0~), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.1/python-tensorflow-avx2-sse42-fma_1.4.1-1+Debian-stretch-9.3_amd64.deb Size: 31628762 MD5sum: df067ffe56c164c02dc3a6a1cd746191 SHA1: e7666e5ceb2b0ff513d2949f61aa8099a42406db SHA256: 9241a3756fd0ae18545faa92b65c4c8897564aff8ed6d95967eecb53c33e5b2b SHA512: 48e18449c698764ba028fca4c34b1ae3ebae6b9c81f30ce176aeaf231f89010fadf70c07f7ca7157a9fd72ae9cdc77c67302fa752996c2700fb1a6814469e97f Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python-tensorflow-avx2-sse42-fma Architecture: amd64 Version: 1.4.1-2+Debian-stretch-9.4 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-2) Maintainer: Adam Cecile Installed-Size: 197888 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-enum34, python-numpy (>= 1.11.0), python-six (>= 1.10.0), python-protobuf (>= 3.3.0), python-tensorboard (>= 0.4.0~), python-tensorboard (<< 0.5.0~), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.1/python-tensorflow-avx2-sse42-fma_1.4.1-2+Debian-stretch-9.4_amd64.deb Size: 31630546 MD5sum: 44219e9689a775a00c35fd3efecf98c8 SHA1: 096094d7540eeba574fecb024fde439f23b3f7df SHA256: 5c26c7a03bd5c0b22713e86a513e5051f6cbda1913776f20ed3d9bbb6ba00828 SHA512: 2612b0053b82b075bfbc3b782cfc3b9ee171a6dd4d5cff19ab5c042d74e3a3668f0a778b57727190625cad2ce66a93641724b7a72bb79d159e4b5af1c23845c2 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python-tensorflow-cuda-avx-sse42 Architecture: amd64 Version: 1.4.1-1+Debian-stretch-9.3 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-1) Maintainer: Adam Cecile Installed-Size: 771450 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1.11.0), python-six (>= 1.10.0), python-protobuf (>= 3.3.0), python-tensorboard (>= 0.4.0~), python-tensorboard (<< 0.5.0~), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn6 (= 6.0.21-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.1/python-tensorflow-cuda-avx-sse42_1.4.1-1+Debian-stretch-9.3_amd64.deb Size: 73859412 MD5sum: 0adf4883a562dc485ee1ccfdccc5c14f SHA1: 68bdd63ba3d97801de572990e7b1aa82cdd47880 SHA256: eab24595294c08c9de4b6dfc31f64537ec77d376aa3061a31d802ee4298efbf5 SHA512: a574a64bdae39f6b3b1d8e44966c5d43cb06067cfaa883c8e9d3452f545e17cbcd248c58ddcc67b7d7cc6c3f389dc17cebcb98fbed1e7529e7a123037008027b Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python-tensorflow-cuda-avx-sse42 Architecture: amd64 Version: 1.4.1-2+Debian-stretch-9.4 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-2) Maintainer: Adam Cecile Installed-Size: 771454 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-enum34, python-numpy (>= 1.11.0), python-six (>= 1.10.0), python-protobuf (>= 3.3.0), python-tensorboard (>= 0.4.0~), python-tensorboard (<< 0.5.0~), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.1/python-tensorflow-cuda-avx-sse42_1.4.1-2+Debian-stretch-9.4_amd64.deb Size: 73883518 MD5sum: 75425b0827fb747d18bfea908e6433cd SHA1: b0acbea20fc35f1e518abd244c552b0a11ed1a0b SHA256: bcfb3a2a2ac665b440df936398f72cc4c4d2c4a995c5a2bb42153a834fe2d472 SHA512: 5c079b8eeb7dbf294a55040164e91d42d1c11100eaeee577f1ca2977b9e5b4681643baa3c4ffa121852905ee2495791ab699deaef27d1caeabf71967dbbee22a Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.4.1-1+Debian-stretch-9.3 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-1) Maintainer: Adam Cecile Installed-Size: 780361 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1.11.0), python-six (>= 1.10.0), python-protobuf (>= 3.3.0), python-tensorboard (>= 0.4.0~), python-tensorboard (<< 0.5.0~), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn6 (= 6.0.21-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.1/python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.4.1-1+Debian-stretch-9.3_amd64.deb Size: 75485212 MD5sum: e168f742e3d37cab4079521c6a7aa313 SHA1: 7a0d4ef21a8a875ecf6cb03ab233208f6a57c860 SHA256: f093a2164cc9aa24cb82a9df13ff8814d85bd552b2549bce3663643d3892dd56 SHA512: 0a19669ea8a5568c843ea60a48fc09f22e05d3149daa6fc4c418c43de590f366aaf4eb063931bfee7cdac87d6f6dea662a2b6d10a60ca7e93b3eeeaeb4f6f1b3 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.4.1-2+Debian-stretch-9.4 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-2) Maintainer: Adam Cecile Installed-Size: 780361 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-enum34, python-numpy (>= 1.11.0), python-six (>= 1.10.0), python-protobuf (>= 3.3.0), python-tensorboard (>= 0.4.0~), python-tensorboard (<< 0.5.0~), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.1/python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.4.1-2+Debian-stretch-9.4_amd64.deb Size: 75479556 MD5sum: 81223881a1a9541d976e199db45ea918 SHA1: 78f0762107f2a55f141ba9f34703050ce0a40bee SHA256: 3a767ef50e064434d344c13fdbdca8151c45be90e1fee86f0587f4cef09ceda1 SHA512: 722da3906c7fc3e76421b8a77a9dbdd95beb45649d8af8faf15b07769cf60a42320558598ec1a1d29ef919a6ff68dfdf33b8ba1165fd3c5572eb6d827768896c Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python-tensorflow-cuda-avx2-sse42-fma Architecture: amd64 Version: 1.4.1-1+Debian-stretch-9.3 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-1) Maintainer: Adam Cecile Installed-Size: 771618 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1.11.0), python-six (>= 1.10.0), python-protobuf (>= 3.3.0), python-tensorboard (>= 0.4.0~), python-tensorboard (<< 0.5.0~), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn6 (= 6.0.21-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.1/python-tensorflow-cuda-avx2-sse42-fma_1.4.1-1+Debian-stretch-9.3_amd64.deb Size: 73769100 MD5sum: d43299c87fbc3da47af59104ff6de263 SHA1: b923c47c3188c218d03a6432e2112b0fed47406f SHA256: 8c63b9a49fb8c4b7912572056a18fa99c7c98cfb385e1573839a90bcb392d8b1 SHA512: c570ee242a9f43aaf8d5ad65e3cd866e0cf0a26db3b4ecf2d35c204b504db61bab7c25b8ecb518bfc58921c8de21607d7c52bdec3465e7116ba60d7f0bd1e5a7 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python-tensorflow-cuda-avx2-sse42-fma Architecture: amd64 Version: 1.4.1-2+Debian-stretch-9.4 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-2) Maintainer: Adam Cecile Installed-Size: 771622 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-enum34, python-numpy (>= 1.11.0), python-six (>= 1.10.0), python-protobuf (>= 3.3.0), python-tensorboard (>= 0.4.0~), python-tensorboard (<< 0.5.0~), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.1/python-tensorflow-cuda-avx2-sse42-fma_1.4.1-2+Debian-stretch-9.4_amd64.deb Size: 73777172 MD5sum: 0a07665922b4fc57cdbcddf7f92f50e9 SHA1: 22601fe48422072dd40f412bfb984d1b6fe28baf SHA256: dbdf7c7c0f6aa29b8fda755bcf520eb6c3d8091c335197bb5bc0c07082971de7 SHA512: 9fccd09a7ebf7322b71c46369dcca4d9cecd739d0ce520c4929b9908da4ce28db1af434af7611e8bba3ff1ed0d8b8d4b744b7145216de0972a3156324251a989 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python3-tensorflow-avx-sse42 Architecture: amd64 Version: 1.4.1-1+Debian-stretch-9.3 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-1) Maintainer: Adam Cecile Installed-Size: 197678 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-six (>= 1.10.0), python3-protobuf (>= 3.3.0), python3-tensorboard (>= 0.4.0~), python3-tensorboard (<< 0.5.0~), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.1/python3-tensorflow-avx-sse42_1.4.1-1+Debian-stretch-9.3_amd64.deb Size: 31596604 MD5sum: 3460e19b570698a3f3cfdd143c151a20 SHA1: da7ea478fd28ab39d090dc5ef40b4af93f39bc4f SHA256: 8d3b31eb9ae10f189474d5b0e27e727e57ecd2c6287246d5b811001c603e2741 SHA512: 2ed8c8253f109a083df02cab71f7375094e6868e65aa19ccb73ed766a9902010874dc62e9d1dd0795177cb0f29f363384aa4ad74b1c873ee658592882d9ed3f9 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python3-tensorflow-avx-sse42 Architecture: amd64 Version: 1.4.1-2+Debian-stretch-9.4 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-2) Maintainer: Adam Cecile Installed-Size: 197678 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-six (>= 1.10.0), python3-protobuf (>= 3.3.0), python3-tensorboard (>= 0.4.0~), python3-tensorboard (<< 0.5.0~), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.1/python3-tensorflow-avx-sse42_1.4.1-2+Debian-stretch-9.4_amd64.deb Size: 31593088 MD5sum: a4fd775eb021428b5ad978e42bfcd2e7 SHA1: d30078e38fbef6bce27481f9044c211f9cf1f9eb SHA256: 8a47aa3a79a3175cced673b9397a1a51a8df3cea5119f41835c665d433751999 SHA512: 108470a27995b45f2d486d5b8f3c41ecc4e9ae47941109109929283fabbca0991b7a16d5f64603bd8d6ce1644f14ba031ac2722ea9dda7c205cba3e86346b124 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python3-tensorflow-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.4.1-1+Debian-stretch-9.3 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-1) Maintainer: Adam Cecile Installed-Size: 330680 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-six (>= 1.10.0), python3-protobuf (>= 3.3.0), python3-tensorboard (>= 0.4.0~), python3-tensorboard (<< 0.5.0~), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.1/python3-tensorflow-avx2-sse42-fma-mkl-dnn_1.4.1-1+Debian-stretch-9.3_amd64.deb Size: 52021694 MD5sum: 883309a4c47f10cbc958645d380c22bc SHA1: e14f5d4793d9f269b6c5265db86dd0126336eaed SHA256: b30aff569f36ac803e407a9a5e6bd838ca05b91798360e1052eafc42739f2b7d SHA512: ef777621e879302ceff5be8549babd7cb1675b586e084c6891fe8f88f98cee28092891da9ec670dddb7f73f61ba05c15a8c7dd43eb7d295a48615f8433d7a7f3 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python3-tensorflow-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.4.1-2+Debian-stretch-9.4 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-2) Maintainer: Adam Cecile Installed-Size: 351454 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-six (>= 1.10.0), python3-protobuf (>= 3.3.0), python3-tensorboard (>= 0.4.0~), python3-tensorboard (<< 0.5.0~), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.1/python3-tensorflow-avx2-sse42-fma-mkl-dnn_1.4.1-2+Debian-stretch-9.4_amd64.deb Size: 53781524 MD5sum: de1985cb1ffe6dbec73a428876211e33 SHA1: d8a03a58aa45fb807977a90c6617efab217a3647 SHA256: 07eab20c93f751ef5c567e665fefe7e61fb4712d15ec06de2f3568ec1c097738 SHA512: 20b331bca45e1f858ee2fef0f95f417fe68ccf0453763c075a27f09d61cd27c026bd0407599f3d1f1a2b0ead4b0280e1dfba30cefaee438070cb9228a6785a41 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python3-tensorflow-avx2-sse42-fma Architecture: amd64 Version: 1.4.1-1+Debian-stretch-9.3 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-1) Maintainer: Adam Cecile Installed-Size: 197878 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-six (>= 1.10.0), python3-protobuf (>= 3.3.0), python3-tensorboard (>= 0.4.0~), python3-tensorboard (<< 0.5.0~), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.1/python3-tensorflow-avx2-sse42-fma_1.4.1-1+Debian-stretch-9.3_amd64.deb Size: 31632328 MD5sum: f7aa48c974669de83c147040ababcec0 SHA1: 2c2500c01b664ae184d9293b2cd453b0a7488ae8 SHA256: 1d9df5369f111c0509ec9e2923f1c0144aa4dafc273214c53bd87ffe0932cf47 SHA512: ec9e42d401709f5265ff5d7df69f6a4f3b5c30280383dda5598b771d79e713c9fe2378adf0d88e21241a1929002f166fa839618f21142a18e9870996344d82fa Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python3-tensorflow-avx2-sse42-fma Architecture: amd64 Version: 1.4.1-2+Debian-stretch-9.4 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-2) Maintainer: Adam Cecile Installed-Size: 197878 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-six (>= 1.10.0), python3-protobuf (>= 3.3.0), python3-tensorboard (>= 0.4.0~), python3-tensorboard (<< 0.5.0~), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.1/python3-tensorflow-avx2-sse42-fma_1.4.1-2+Debian-stretch-9.4_amd64.deb Size: 31621670 MD5sum: b4e73b6d74921eea7cfb8e74518fa598 SHA1: 005820d9bb7b9001abe90a4d6636b5394829a7a1 SHA256: 22f465a53a2b4ece94333e8f850609d7a406a4d89f9426894c3fb9761206e845 SHA512: fba34ef7341c1c7bb102a16ea4e1ea8b656de569c3d2f2c625f3d52d7c9f0f67ea2b4b0938859bbdda870dac3751b427e959f38594cd1023ff1b1baa8b1d3a8b Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python3-tensorflow-cuda-avx-sse42 Architecture: amd64 Version: 1.4.1-1+Debian-stretch-9.3 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-1) Maintainer: Adam Cecile Installed-Size: 771448 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-six (>= 1.10.0), python3-protobuf (>= 3.3.0), python3-tensorboard (>= 0.4.0~), python3-tensorboard (<< 0.5.0~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn6 (= 6.0.21-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.1/python3-tensorflow-cuda-avx-sse42_1.4.1-1+Debian-stretch-9.3_amd64.deb Size: 73929422 MD5sum: 803d0ee6854f5ba215d6e3e30f9768e9 SHA1: 3f61885ffb498e990da96d41bdb72be26795a030 SHA256: 82910a0fdee64246ee58e82a8d461861206ec9c33a422594b85a4762dddeb012 SHA512: 9e3c80916863317b30a0d6c0e7aeafd3e307b19eb97af8ff3c75aaee6bf9d01d4ce906ecb3bb469124f5e113ba52f9a161b8443305d6c27f13c4ec41d9394b7d Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python3-tensorflow-cuda-avx-sse42 Architecture: amd64 Version: 1.4.1-2+Debian-stretch-9.4 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-2) Maintainer: Adam Cecile Installed-Size: 771452 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-six (>= 1.10.0), python3-protobuf (>= 3.3.0), python3-tensorboard (>= 0.4.0~), python3-tensorboard (<< 0.5.0~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.1/python3-tensorflow-cuda-avx-sse42_1.4.1-2+Debian-stretch-9.4_amd64.deb Size: 73961144 MD5sum: 0e329f3ee900a10d26b1a01808b0190e SHA1: 49cee8f3a3c138db3b449762fe762e40f3ec239d SHA256: 82d5d27001919272caea7d349e3ac09ec62361671cee45c5e064de98db034751 SHA512: 326f11753bbe7ae64f23547ca2bb38ca7ae06961407637961948aab32430b655949a61595e31af9d2e577446caf7030f236d089a1d36734bd6012f21d48dac9a Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.4.1-1+Debian-stretch-9.3 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-1) Maintainer: Adam Cecile Installed-Size: 780359 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-six (>= 1.10.0), python3-protobuf (>= 3.3.0), python3-tensorboard (>= 0.4.0~), python3-tensorboard (<< 0.5.0~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn6 (= 6.0.21-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.1/python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.4.1-1+Debian-stretch-9.3_amd64.deb Size: 75504664 MD5sum: cf7f647871ebe3752042d1f8b670bb62 SHA1: f0a2416adf62985677d801f5f611cb2c14cca46c SHA256: 968f8860ffcdcf0b5e01c0dfefccd07a8ef016069a060679b43104dff7938f0c SHA512: 70a3789465c7e2756fa21a6fd64fbe5a1999a2692bfde48a56c8e3e99d8e87a001388ab8dc643ff6f5e15f06cd25a0fd717babe5393f3e3d8030a76e32784376 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.4.1-2+Debian-stretch-9.4 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-2) Maintainer: Adam Cecile Installed-Size: 780359 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-six (>= 1.10.0), python3-protobuf (>= 3.3.0), python3-tensorboard (>= 0.4.0~), python3-tensorboard (<< 0.5.0~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.1/python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.4.1-2+Debian-stretch-9.4_amd64.deb Size: 75487618 MD5sum: 2f51811c058c7883e2aafc03c7820842 SHA1: ed9e64ef087594c3ec0023288fd44b51634c01fc SHA256: 417ca62c7517d79531bad2ba6ea036fc467efd55d51ba1acb96d7b7c6db3cd34 SHA512: 0e670ff81dc9ac275a54a838ba458bd0a7a469a9fad8517338a40c318c7a70f23d135def545527e8b1abc71b475374812433777791cce2e59f26cb683900002a Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python3-tensorflow-cuda-avx2-sse42-fma Architecture: amd64 Version: 1.4.1-1+Debian-stretch-9.3 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-1) Maintainer: Adam Cecile Installed-Size: 771612 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-six (>= 1.10.0), python3-protobuf (>= 3.3.0), python3-tensorboard (>= 0.4.0~), python3-tensorboard (<< 0.5.0~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn6 (= 6.0.21-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.1/python3-tensorflow-cuda-avx2-sse42-fma_1.4.1-1+Debian-stretch-9.3_amd64.deb Size: 73846598 MD5sum: a84b2baa2b5c735fd450a6d5a4483fe6 SHA1: 92d971f5cf8a99d553c9732bc3741c97bedc1190 SHA256: 524ae2bfb89ad438ac0d5758471afecbac4c45c9835340971d9e4e4d180d7f32 SHA512: 0226f2d9c16d0f1fb5e683fc4b50ef6de2fd415dc9eceb6bbb521029c61600df8cf6727a665f8da46e0eab03dfe32960c574389fa4a48acaa5e3159c5eabcc11 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python3-tensorflow-cuda-avx2-sse42-fma Architecture: amd64 Version: 1.4.1-2+Debian-stretch-9.4 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-2) Maintainer: Adam Cecile Installed-Size: 771616 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-six (>= 1.10.0), python3-protobuf (>= 3.3.0), python3-tensorboard (>= 0.4.0~), python3-tensorboard (<< 0.5.0~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.4.1/python3-tensorflow-cuda-avx2-sse42-fma_1.4.1-2+Debian-stretch-9.4_amd64.deb Size: 73836162 MD5sum: d4f662b9723ae2cc37a1047867ff1c02 SHA1: a69806345a25669f49a5a4924e1e668964533494 SHA256: 8af5f09158a33fe46bf728cbe5feb9d0ee3b6ccff7e48e40b1def271d0dc8e84 SHA512: 847eb13351821af84ed65aedd7b0524c9782abc81ab55240c12d43b80d1ec62660206f4bfd427e075c41ac9af16ea6d961c49fb77d47f0cd038e56184aee5421 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: tensorflow-tools Architecture: all Version: 1.4.1-1+Debian-stretch-9.3 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-1) Maintainer: Adam Cecile Installed-Size: 12 Depends: python3-tensorflow (>= 1.4.1-1), python3-tensorflow (<< 1.4.1.0~) Filename: pool-stretch/python-tensorflow-cuda/1.4.1/tensorflow-tools_1.4.1-1+Debian-stretch-9.3_all.deb Size: 4766 MD5sum: 6eaf25985cd854f61ad58969aa48930e SHA1: 8eaa15151514717d6cae6a11f6c03d03a2fdab98 SHA256: a30d33d60991ada1c0bb71b3d7313ce3da00f8ff180477799394ba7d60091a6b SHA512: b19d0259d7c687f8731b0dc2ed75381c64c8217a0516e90c95939124f5e1bf66843f93713ae40335d34e482d6d8b064d4130b3ce6fe03944579f452e83052908 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (cli tools) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package contains "saved_model_cli" and "tensorboard" command line tools. Package: tensorflow-tools Architecture: all Version: 1.4.1-2+Debian-stretch-9.4 Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-2) Maintainer: Adam Cecile Installed-Size: 12 Depends: python3-tensorflow (>= 1.4.1-2), python3-tensorflow (<< 1.4.1.0~) Filename: pool-stretch/python-tensorflow-cuda/1.4.1/tensorflow-tools_1.4.1-2+Debian-stretch-9.4_all.deb Size: 4962 MD5sum: df67231123ea77052375f045ce4e351b SHA1: e24ae6b6f79d164ea4b3781289409529af140d39 SHA256: 46bc6b2fe403f1df09b4599d7d89f501969a14341811e2391591429c728e827e SHA512: dd9ade0e442c237b16effda843fdfafe1524aad555ec490321faf02d14a0d598003e6d6d2d8fbc17e7a82fc3b5d4cc18dd5099cf2cd9843e9d6102116c7e0d85 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (cli tools) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package contains "saved_model_cli" and "tensorboard" command line tools. Package: python-tensorflow-avx-sse42 Architecture: amd64 Version: 1.5.0-1+Debian-stretch-9.4 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.0-1) Maintainer: Adam Cecile Installed-Size: 218445 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-enum34, python-numpy (>= 1.11.0), python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-tensorboard (>= 1.5.0~), python-tensorboard (<< 1.6.0~), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.5.0/python-tensorflow-avx-sse42_1.5.0-1+Debian-stretch-9.4_amd64.deb Size: 34867456 MD5sum: c96e676926d2948d7710e606d4adf4ac SHA1: 0359cc3c0e9c04b1156e01c9ac65f58f56fc2f34 SHA256: 2e358319be0109ce01129af13482b0a2cb92f8e0191f43e35ad6820a3e60f965 SHA512: 1c53d181116ba0b1a810186fa023b3340a3783e744d000c4bbb721132200e9cf354d54e9ba4c92a3be89970a86d2a546d11c12dca54ea0c1896de0026431ad0f Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python-tensorflow-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.5.0-1+Debian-stretch-9.4 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.0-1) Maintainer: Adam Cecile Installed-Size: 371923 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-enum34, python-numpy (>= 1.11.0), python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-tensorboard (>= 1.5.0~), python-tensorboard (<< 1.6.0~), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.5.0/python-tensorflow-avx2-sse42-fma-mkl-dnn_1.5.0-1+Debian-stretch-9.4_amd64.deb Size: 56982100 MD5sum: aa38c4f36171a54397ded839bd5955b6 SHA1: 26f0bb1af72fd1fc7644bf99ca6fe73bf6f5cf0c SHA256: e664300db04d16a7009bc4ab5d52fa3181d3fdcf0bea6abe31db876e712766db SHA512: 222c9be8c6090a899cd047dc4b4bde1ddd144f303ba93761708766e7f50129f171367d4bdd557bfabe42e7abac89098281180f53dc07865d0abb56983afdf0c8 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python-tensorflow-avx2-sse42-fma Architecture: amd64 Version: 1.5.0-1+Debian-stretch-9.4 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.0-1) Maintainer: Adam Cecile Installed-Size: 218715 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-enum34, python-numpy (>= 1.11.0), python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-tensorboard (>= 1.5.0~), python-tensorboard (<< 1.6.0~), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.5.0/python-tensorflow-avx2-sse42-fma_1.5.0-1+Debian-stretch-9.4_amd64.deb Size: 34952816 MD5sum: 5d6560455c826ba89856496a2d149c60 SHA1: 2a1d6dd1bdba3fa828a035b9a2f108872ffe3a99 SHA256: 855d1a771e17047bef4b70e1619a6a66001605aece3efb3c118fcbf5d4d7a905 SHA512: 48209e6bb0c72e28a5b2fbc0e83565c287c3bc483a1c701af66dccaefbb0dfee006b22064de404c59ea94f5ea1640839bd0fa9d8e7862e372b42763534e80d27 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python-tensorflow-cuda-avx-sse42 Architecture: amd64 Version: 1.5.0-1+Debian-stretch-9.4 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.0-1) Maintainer: Adam Cecile Installed-Size: 885590 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-enum34, python-numpy (>= 1.11.0), python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-tensorboard (>= 1.5.0~), python-tensorboard (<< 1.6.0~), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.5.0/python-tensorflow-cuda-avx-sse42_1.5.0-1+Debian-stretch-9.4_amd64.deb Size: 81542772 MD5sum: ec5e49c61d01cf2ab3260f975df52eaf SHA1: cba4154a8b3ae1e93bb40b9518c6af15de79e05a SHA256: f53ec93573091b48333e779b08a92818ca8ccc03a0d7950393269f30c45edc2c SHA512: 1d163de870b91b3f4074526e3fdd28c65b13ff9e4728b48d279aa771b869fb99f1518e76499685a23f73b57a336635ab59de9d3e912c38442d1bc19a2362d702 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.5.0-1+Debian-stretch-9.4 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.0-1) Maintainer: Adam Cecile Installed-Size: 894077 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-enum34, python-numpy (>= 1.11.0), python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-tensorboard (>= 1.5.0~), python-tensorboard (<< 1.6.0~), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.5.0/python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.5.0-1+Debian-stretch-9.4_amd64.deb Size: 84290570 MD5sum: b456c397271dcdc2745daaaeb201cddf SHA1: ff73244b7dae6ae51d3fb33621b538768fe229f5 SHA256: b8d189190e9692aae7a9a07e1eef72f1f1eebe91899f3a1e6a5065e08f454e5d SHA512: 58cf5a930f92270d9bb4c403362b4bb2d4c494de934d785d542cef796ac219a6a560942bd048603199506866006cc115c4dcd32bc209b9425a3f5e66ef5fba65 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python-tensorflow-cuda-avx2-sse42-fma Architecture: amd64 Version: 1.5.0-1+Debian-stretch-9.4 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.0-1) Maintainer: Adam Cecile Installed-Size: 885786 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-enum34, python-numpy (>= 1.11.0), python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-tensorboard (>= 1.5.0~), python-tensorboard (<< 1.6.0~), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.5.0/python-tensorflow-cuda-avx2-sse42-fma_1.5.0-1+Debian-stretch-9.4_amd64.deb Size: 81666810 MD5sum: 9555a9330c61e893ce596b64bf2015fd SHA1: 288aa0fec7bd6c7cf8a02a96f8788cef00d43bc0 SHA256: c57b00423b9b7f72a6b70e9c63cdf302a9513c9d3eb7bd58ee44017c84faba48 SHA512: c6da18c1873d4cf1366666905e71ef131468f68d3cf0fd3201d07cc4ee569d508c8bd908e3260c8f4944d5a057c1147badbce4a94fa140a888bb1bda7c3069cf Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python3-tensorflow-avx-sse42 Architecture: amd64 Version: 1.5.0-1+Debian-stretch-9.4 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.0-1) Maintainer: Adam Cecile Installed-Size: 218423 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-tensorboard (>= 1.5.0~), python3-tensorboard (<< 1.6.0~), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.5.0/python3-tensorflow-avx-sse42_1.5.0-1+Debian-stretch-9.4_amd64.deb Size: 34918604 MD5sum: 01f444f742e7fb994ec1b612ecfd69a7 SHA1: 8a936f3f8da3c0d8c9fe6ef290449f0c92a21dea SHA256: ca885a16dca5badf0bc3da86e99a5d8d9039b172ab0c715511bf438f09bded93 SHA512: c9eed757ab40682067dcaeb058f427362632ca7e9b819a9c3fccc15a065af2403855cc0cada0f3b8002f9ec2070d49c9ad43b9fefcc8ddfe3b26028a480c389b Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python3-tensorflow-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.5.0-1+Debian-stretch-9.4 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.0-1) Maintainer: Adam Cecile Installed-Size: 371909 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-tensorboard (>= 1.5.0~), python3-tensorboard (<< 1.6.0~), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.5.0/python3-tensorflow-avx2-sse42-fma-mkl-dnn_1.5.0-1+Debian-stretch-9.4_amd64.deb Size: 56946462 MD5sum: 5e08ddb53f55a1e395c7eb055ab6841e SHA1: 5e6cb7503dd1a8e18d729508692662c6ac34a02a SHA256: 187790777d95a10bd7651823c293b6b4c2a65108009d5c80c021370c1f2f0f86 SHA512: 3cf988d41429356af71a4f33fb31057cb33c8a8607ddb326d50c52b4a25eca46197e23f8239257fb506857b335fd203c66b3b2510a1c3b75e9f33869ba3a3394 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python3-tensorflow-avx2-sse42-fma Architecture: amd64 Version: 1.5.0-1+Debian-stretch-9.4 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.0-1) Maintainer: Adam Cecile Installed-Size: 218697 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-tensorboard (>= 1.5.0~), python3-tensorboard (<< 1.6.0~), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.5.0/python3-tensorflow-avx2-sse42-fma_1.5.0-1+Debian-stretch-9.4_amd64.deb Size: 34926288 MD5sum: f43e2620bad1e230ab1928c02ac30859 SHA1: bddf90d8c98757df8d2d718df34fa8342d3d2b9b SHA256: d1a1d8f43d70f47afe03ff4556801d18d2fa934929a32edc0722e9cd610622c0 SHA512: c88ebe6ff23478e0e335584f0876f53edfa35a3d180d859549766b9d769779f321f015acc44fa3bd62e57eb7d51322401b4f53739d29ecedb8d48156f32262a8 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python3-tensorflow-cuda-avx-sse42 Architecture: amd64 Version: 1.5.0-1+Debian-stretch-9.4 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.0-1) Maintainer: Adam Cecile Installed-Size: 885581 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-tensorboard (>= 1.5.0~), python3-tensorboard (<< 1.6.0~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.5.0/python3-tensorflow-cuda-avx-sse42_1.5.0-1+Debian-stretch-9.4_amd64.deb Size: 81533956 MD5sum: 55f58b2fadd1cbbe3a9e9f9420b430fb SHA1: 6450e6e74bbf29cd48dbb016b81062c84056ce43 SHA256: 5ed384ae67ebd97e4eab2c82123c33e6eb742ede2a42b91679fb51cdb262a50f SHA512: 8e90a78dae7711ba2d66615a3d8835a5184fe2470f27c012b042583614882c8f85ebc2aa470326b059bc1a291ff1af5f5ab271cad98f9510dbf4d817790fa72a Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.5.0-1+Debian-stretch-9.4 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.0-1) Maintainer: Adam Cecile Installed-Size: 894068 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-tensorboard (>= 1.5.0~), python3-tensorboard (<< 1.6.0~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.5.0/python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.5.0-1+Debian-stretch-9.4_amd64.deb Size: 84250504 MD5sum: 004e749106dde63abf82b44522d24dc6 SHA1: 3872da37fb9591574ad2a292e0136420a88d490b SHA256: 686db39db5daf7097430311a424769d23edf04b0973aa0e4d42971eca250bb26 SHA512: d7c1f3b29a65107d2376be9253df14d270491e22e7e040f57e92c655196c0eb3f682171d7a84f3e220d02ac3df8fadd10291bac699a7b65719e88fa5e4d7fe77 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python3-tensorflow-cuda-avx2-sse42-fma Architecture: amd64 Version: 1.5.0-1+Debian-stretch-9.4 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.0-1) Maintainer: Adam Cecile Installed-Size: 885773 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-tensorboard (>= 1.5.0~), python3-tensorboard (<< 1.6.0~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.5.0/python3-tensorflow-cuda-avx2-sse42-fma_1.5.0-1+Debian-stretch-9.4_amd64.deb Size: 81617286 MD5sum: 41ee474ddbbadbbb08e7ed4ef84b2ef1 SHA1: 7a9a0cbb369faf143590c01003eea8fb8d1a09fe SHA256: 8b94b58c3f1681ea06bbcbf8f735c7877701970e73ea19709b605d5daefd7b41 SHA512: abca9a5ffcc84957c2615b881babb1b5edb9cefe7be4374b54c4ad5df4ec0a7b50819b67f9e730fec9053acfe3a119da494660231d3aff3e1a5673dffc663a34 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: tensorflow-tools Architecture: all Version: 1.5.0-1+Debian-stretch-9.4 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.0-1) Maintainer: Adam Cecile Installed-Size: 15 Depends: python3-tensorflow (>= 1.5.0-1), python3-tensorflow (<< 1.5.0.0~) Filename: pool-stretch/python-tensorflow-cuda/1.5.0/tensorflow-tools_1.5.0-1+Debian-stretch-9.4_all.deb Size: 4382 MD5sum: 23315c283364c5a452ca8a130fed5faa SHA1: b422d98815f236b79e7f32f51bb15bcef204c15b SHA256: 42f395d94a0d37d591d0f2140959b335a3bc773742cde949802e1f65e96e780e SHA512: 7a7b78baedf5c019e5b61c15c3dea479510eacb54679de7ebb4f5d62407180fa179c7bff5547ebfe5f0992985bdd9273413e3fc3dc682738aff974da7103a9d6 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (cli tools) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package contains "saved_model_cli" and "tensorboard" command line tools. Package: python-tensorflow-avx-sse42 Architecture: amd64 Version: 1.5.1-1+Debian.stretch.9.4+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.1-1) Maintainer: Adam Cecile Installed-Size: 218446 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-enum34, python-numpy (>= 1.11.0), python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-tensorboard (>= 1.5.0~), python-tensorboard (<< 1.6.0~), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.5.1/python-tensorflow-avx-sse42_1.5.1-1+Debian.stretch.9.4+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 34952240 MD5sum: 78494d0de48103350defdc82d124a1b5 SHA1: 0ebcf66bd31b2c0c4425382456218cc8b763ea11 SHA256: 50830e68f6ae503b5bda43614cdf8e4e7601de2129313445746111323b364299 SHA512: 61463ba8e15a4d1b3e7c49993b2b12fc085c254945a59364c0c4fe0db075e37642e65c1b58f0241ea2fca3c5163ab0bd4817eec771c1d7571774186ab16ec114 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python-tensorflow-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.5.1-1+Debian.stretch.9.4+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.1-1) Maintainer: Adam Cecile Installed-Size: 371927 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-enum34, python-numpy (>= 1.11.0), python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-tensorboard (>= 1.5.0~), python-tensorboard (<< 1.6.0~), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.5.1/python-tensorflow-avx2-sse42-fma-mkl-dnn_1.5.1-1+Debian.stretch.9.4+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 56968480 MD5sum: 7f590a1ac97e64ec543d8d542037c6f8 SHA1: e07023366987cebb0d975f267ee58fb2cb94260f SHA256: c2efe8b1e888af29627ff5a608ddfd14da45afafd0b65ccb8d9df1288a817cb0 SHA512: 168823e71c491cde1026e636d7b409b5c422736fea7e18c3c15ba73bcd4091b05ddcf73e631b3258b903c930fe052ec5bc08a704dc79c948aa0c711436660de9 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python-tensorflow-avx2-sse42-fma Architecture: amd64 Version: 1.5.1-1+Debian.stretch.9.4+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.1-1) Maintainer: Adam Cecile Installed-Size: 218720 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-enum34, python-numpy (>= 1.11.0), python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-tensorboard (>= 1.5.0~), python-tensorboard (<< 1.6.0~), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.5.1/python-tensorflow-avx2-sse42-fma_1.5.1-1+Debian.stretch.9.4+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 34935824 MD5sum: a32862149997d1476a4d3e65c8f05d62 SHA1: 741030d526ac7818e914cc4a40445e7690f377d2 SHA256: 98993aa9aaea3417ca3db4d5731e9b1c261c23b15ca430466a2197c058980b35 SHA512: c860f93d0bb8203f7ce3267f2505d83509a93c68efcf3e880148c5115ca2c1cdd54d79a1be256246579b25a1bf15dd9a1b8b4b212d2ee1dc7902828b2f67912a Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python-tensorflow-cuda-avx-sse42 Architecture: amd64 Version: 1.5.1-1+Debian.stretch.9.4+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.1-1) Maintainer: Adam Cecile Installed-Size: 885595 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-enum34, python-numpy (>= 1.11.0), python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-tensorboard (>= 1.5.0~), python-tensorboard (<< 1.6.0~), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.5.1/python-tensorflow-cuda-avx-sse42_1.5.1-1+Debian.stretch.9.4+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 81557202 MD5sum: 8344cf349bb36238fb6d2cc68e113945 SHA1: 7608a3d6c36f8827b206b1b9a75bdccfe7697a50 SHA256: af39dd4477040f99c12dada18364c3ad2199fd20ee4cc53b9be034320c280cdc SHA512: d677e10b5f72428d23ac694b41d82b6932244592b7261d4e6fbe3dffb29423d05691b702b91a239be3661009339512a33c22d631fe7f4dfde75663c0be83f81a Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.5.1-1+Debian.stretch.9.4+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.1-1) Maintainer: Adam Cecile Installed-Size: 894086 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-enum34, python-numpy (>= 1.11.0), python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-tensorboard (>= 1.5.0~), python-tensorboard (<< 1.6.0~), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.5.1/python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.5.1-1+Debian.stretch.9.4+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 84238922 MD5sum: dd97b5069bec967f737cba9aabf42fc0 SHA1: d822fa3ee7afd3dae1b227b35519d11e23e6b7ab SHA256: 9e23bc5db795e92f9bdd0c363b08c790745f8984e4ab3d2ca575cef97d296be2 SHA512: 7e5a253f1afece6125613b2c21f42b3d5af063a779a0327782900194f3f741251d28818bafa6c7079000232251033a063558390e3d38959ba3394c4002341bd3 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python-tensorflow-cuda-avx2-sse42-fma Architecture: amd64 Version: 1.5.1-1+Debian.stretch.9.4+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.1-1) Maintainer: Adam Cecile Installed-Size: 885791 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-enum34, python-numpy (>= 1.11.0), python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-tensorboard (>= 1.5.0~), python-tensorboard (<< 1.6.0~), python-mock (>= 2.0.0), python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.5.1/python-tensorflow-cuda-avx2-sse42-fma_1.5.1-1+Debian.stretch.9.4+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 81699080 MD5sum: f1ac060fca97462d1e7bd7945c85b4e0 SHA1: d005ea405fa9c27d8704b1e0ff7e57055889ffe2 SHA256: 664ffc782f021ce29a47a6a7716a448589e5ef211a1cb41874d46f0740707bc5 SHA512: 6ad6bcb487480cd6dfed6e9e41f8218020b94ff37362d034200b6503a7be9ea51744f8a0c1d3c5881315daa1f6e39693fe8b685f08a4f4740ae73b33aa723a15 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python3-tensorflow-avx-sse42 Architecture: amd64 Version: 1.5.1-1+Debian.stretch.9.4+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.1-1) Maintainer: Adam Cecile Installed-Size: 218428 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-tensorboard (>= 1.5.0~), python3-tensorboard (<< 1.6.0~), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.5.1/python3-tensorflow-avx-sse42_1.5.1-1+Debian.stretch.9.4+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 34910702 MD5sum: d1790d85fb4aaffa47e2515519ec4afc SHA1: 48b3ec68d89af2bb8f1a264b68926d0b72baa9ce SHA256: 3538bf1d1840e79ccc6deb7fa174e2aedd1479c5dcae2135f2d20e9413033110 SHA512: a0743534a621c4d9dc8296373bae0622c6504ad0bf2d03b0ab15a82124995ebe806baa6e9834c862c17e6c4931aff6b2ccc3a71dd448c87fecb13e2af194e101 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python3-tensorflow-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.5.1-1+Debian.stretch.9.4+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.1-1) Maintainer: Adam Cecile Installed-Size: 371917 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-tensorboard (>= 1.5.0~), python3-tensorboard (<< 1.6.0~), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.5.1/python3-tensorflow-avx2-sse42-fma-mkl-dnn_1.5.1-1+Debian.stretch.9.4+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 56962956 MD5sum: 6f6313bd74950a99f4a87bc03af31d57 SHA1: 97055055fe8ba612fb3d78c651756953e97cc6b3 SHA256: 4cbf1cc413d20963649331d1d61ea0aca4006e18636094acc58b757d035107f4 SHA512: 0e52003e38246fefb470a28afd730e26b1bb6d998abf2408bf006666abcb83c08558116b2503197f102ff0de730c7ba954dbc2df059fd82e5229e2d458556a2b Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python3-tensorflow-avx2-sse42-fma Architecture: amd64 Version: 1.5.1-1+Debian.stretch.9.4+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.1-1) Maintainer: Adam Cecile Installed-Size: 218702 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-tensorboard (>= 1.5.0~), python3-tensorboard (<< 1.6.0~), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.5.1/python3-tensorflow-avx2-sse42-fma_1.5.1-1+Debian.stretch.9.4+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 34916876 MD5sum: 465693950d728cc3cae430d58d9cb10b SHA1: 2972aac7338fa2c4bb89408776fdeb8cae68630f SHA256: 9476407730d7a25ec200284b53e315f3c31f8a86f1c5e2c4487a7bde4506935f SHA512: caa5f498e54a183d453a454821d4979fe404e2ccbc0351a0ccacfeb3fffcb2a57bf5f9401a3d213c27cbb493a69e45ee109359573e497ae4b78b622502279ba7 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python3-tensorflow-cuda-avx-sse42 Architecture: amd64 Version: 1.5.1-1+Debian.stretch.9.4+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.1-1) Maintainer: Adam Cecile Installed-Size: 885590 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-tensorboard (>= 1.5.0~), python3-tensorboard (<< 1.6.0~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.5.1/python3-tensorflow-cuda-avx-sse42_1.5.1-1+Debian.stretch.9.4+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 81575198 MD5sum: a7c5c137af5616904e110ede90d93ffd SHA1: 452fba850b0bf60ad1891368f4fceab4374fdbff SHA256: 6b8ca5a345557c6f8d7d5e3f7da718b6fbcfe8343f294fddddfc7ec3e1fdb904 SHA512: 15a41782f2b3123afd114c95fc4ee4ab8808ed48935438c14e2c1d7445b1b714f3b66c3375064f31abc632a312c2d3a4ae633cc0dfb1b92f9f7add06cb83460e Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.5.1-1+Debian.stretch.9.4+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.1-1) Maintainer: Adam Cecile Installed-Size: 894073 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-tensorboard (>= 1.5.0~), python3-tensorboard (<< 1.6.0~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.5.1/python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.5.1-1+Debian.stretch.9.4+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 84219378 MD5sum: c845c28b76371d1f6b96c9416b44ef6e SHA1: e12e79e72e957d3ece225a403bf016da9de6f5b4 SHA256: 9597e0803513c1b1bd2f86e3c5cdafdc7437d6adb375d8702dc3af78b3e30b7d SHA512: ba5dd9b208b9315d2ef5c8cc4ab54ab6b074881809986e80d507394fa3b2590505a1d063112aceabde504d8ee97a821735bbd8a3eda82014d7ecca3b8d6a5bd8 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python3-tensorflow-cuda-avx2-sse42-fma Architecture: amd64 Version: 1.5.1-1+Debian.stretch.9.4+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.1-1) Maintainer: Adam Cecile Installed-Size: 885778 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-tensorboard (>= 1.5.0~), python3-tensorboard (<< 1.6.0~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.5.1/python3-tensorflow-cuda-avx2-sse42-fma_1.5.1-1+Debian.stretch.9.4+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 81617316 MD5sum: 705c1ca1490269ca4ba45a295ea1f2a5 SHA1: 80d32e45985c9d922d9e05c72a9ee223be7422cb SHA256: 27ca0d0a47433759c961f29304fa395103155e79e63cdf8a2714be5407ca8bef SHA512: 3b5344a0245da3d3e865197c68aea1c5ea3f2581df79f152372ff98146f7ac8f1f02ffc3249351bf47e4233828647a2420167aa78891e50576895f673d541521 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: tensorflow-tools Architecture: all Version: 1.5.1-1+Debian.stretch.9.4+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.1-1) Maintainer: Adam Cecile Installed-Size: 16 Depends: python3-tensorflow (>= 1.5.1-1), python3-tensorflow (<< 1.5.1.0~) Filename: pool-stretch/python-tensorflow-cuda/1.5.1/tensorflow-tools_1.5.1-1+Debian.stretch.9.4+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_all.deb Size: 5496 MD5sum: 2477057072d9a224c79baf55900a3113 SHA1: 41f6b72046e6fc96fc9b63d3c240074eb9fb1593 SHA256: 7db3fa8edf7f82bbf539f93a039a7c7c94522bc28c1ecad14c9214ecdee2f3bb SHA512: 7686175166373ded00d20d3ac0adcf1ba7b97f3025882061718196d068a6d9f0e13d311481a0d7289fa2852bb4395d296e9315e5fb3a11dc86ce5cd5e9ed1d9b Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (cli tools) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package contains "saved_model_cli" and "tensorboard" command line tools. Package: python-tensorflow-avx-sse42 Architecture: amd64 Version: 1.6.0-4+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.6.0-4) Maintainer: Adam Cecile Installed-Size: 223440 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1.11.0), python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.6.0~), python-tensorboard (<< 1.7.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.6.0/python-tensorflow-avx-sse42_1.6.0-4+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 35527218 MD5sum: 6eca5fa2f10d62abbb59e3a39703bc48 SHA1: 8f81657b60d3042eec8e2ebf4c0615feb5a78a59 SHA256: d24f3d311ddd534d50e593818eb82e222d0d9e357bd166be09f9ad79d9a1e3a9 SHA512: cff9615485ef2da1ec0babbf560d51be81625bec63b75e2a3e34aa234e71aae449c368eb2173f07f040b94d2be7f3b7f75c9ac4bd15d764ce16af11ca94aad3e Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python-tensorflow-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.6.0-4+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.6.0-4) Maintainer: Adam Cecile Installed-Size: 380864 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1.11.0), python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.6.0~), python-tensorboard (<< 1.7.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.6.0/python-tensorflow-avx2-sse42-fma-mkl-dnn_1.6.0-4+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 57910832 MD5sum: 68ac978cc97d191f982699d77e88330e SHA1: bc43a688d17e528e1d7f1dcaeb2d717c1ffae6b9 SHA256: 566882d696305668bb188ef27e4408486b1f9ea392b93ea34bd80bde86f77ec2 SHA512: ad4d486794e086844dfca6fe0ad384523f03245a2dfdc2fad624010f2912a152683ab1f0eff4d182f293eead6bcb85bc4bc08e6699536342e79e66688eb47ebc Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python-tensorflow-avx2-sse42-fma Architecture: amd64 Version: 1.6.0-4+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.6.0-4) Maintainer: Adam Cecile Installed-Size: 223712 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1.11.0), python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.6.0~), python-tensorboard (<< 1.7.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.6.0/python-tensorflow-avx2-sse42-fma_1.6.0-4+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 35533962 MD5sum: 79f7dff0e07fc76e7dc5d0b2ff6bfd66 SHA1: d0bb8471852991727f47dcfaf2bffb7229ace9a6 SHA256: c762f9080ff3cebbb9b52b76777270518a41ac9eff466f2fecd0eddaeb8d8124 SHA512: fda47a1e1502a47c67c29e464c51ad0c708bcd5b3db8525138d95e4b9491acaa0f16f3dcc7f4611169af447472a25226f060c917f3a94c3277539d37213b4ae0 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python-tensorflow-cuda-avx-sse42 Architecture: amd64 Version: 1.6.0-4+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.6.0-4) Maintainer: Adam Cecile Installed-Size: 919867 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1.11.0), python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.6.0~), python-tensorboard (<< 1.7.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Recommends: libnvinfer4 Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.6.0/python-tensorflow-cuda-avx-sse42_1.6.0-4+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 84258678 MD5sum: fa4f6ef1c32ee19f16db73d7d714e674 SHA1: 0f81a40c9c88e64283495cc11e4e5c93417dc1a4 SHA256: 176474a6826ca5b30569607986b49350d07f746ba1c045a88e12deb0bdbc5332 SHA512: 77b76013bd17b22945492e303c4396b8db0ba679fbccf28bdc703f607111e24d26cc2dadcb52625db784cd8092ba3b07d39eac8b3703b02ff0286ff4bbd3abd3 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.6.0-4+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.6.0-4) Maintainer: Adam Cecile Installed-Size: 1077707 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1.11.0), python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.6.0~), python-tensorboard (<< 1.7.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9), libmkldnn0-nonfree-mkl Recommends: libnvinfer4 Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.6.0/python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.6.0-4+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 106301356 MD5sum: 2229c0c1a96041a62debfbf8b9ec6373 SHA1: 3ad85ded4ff12de2160765f471758fa95b220f7f SHA256: 7124f16d748cbb77fcd3cbacb59a55cf8ec25bd602a85eb346fa916e2dabe004 SHA512: 1d057368de2d7dccc9874f181b549d5a8709cfc91f16edf253ae835129cd6fcc877538a20e13fd8bd4f33ac3cb29966dc6e26c173acb9e8c81c165ea20ea96c4 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python-tensorflow-cuda-avx2-sse42-fma Architecture: amd64 Version: 1.6.0-4+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.6.0-4) Maintainer: Adam Cecile Installed-Size: 920066 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1.11.0), python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.6.0~), python-tensorboard (<< 1.7.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Recommends: libnvinfer4 Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.6.0/python-tensorflow-cuda-avx2-sse42-fma_1.6.0-4+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 84329510 MD5sum: c50ca5b196f13d2150d9b8fc9a9269c0 SHA1: f700162cf80d5401235cfa12fe3351e95369f4e2 SHA256: 045e2aaac608968f232e5c6dd528402157d326b6af13380941a83e374316b7d9 SHA512: ab2cd7d044743bc7f9a8b65c6f85385c1102f75be05a22208bdcc83b403eb7e7e5c787d5dbb95ff0a0527d8ea91396693d6189f2d7e5391544a291587d5ec069 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python3-tensorflow-avx-sse42 Architecture: amd64 Version: 1.6.0-4+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.6.0-4) Maintainer: Adam Cecile Installed-Size: 223422 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.6.0~), python3-tensorboard (<< 1.7.0~), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.6.0/python3-tensorflow-avx-sse42_1.6.0-4+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 35468836 MD5sum: b28828caf44b1f98f682ca0ed5a57021 SHA1: 943851b8dad24aa914ee3e37dca2e1c45c7f8390 SHA256: a749d596d0326eb193bc005b2c7c23b90e6b3eff64bfb9461565ca253fa71e81 SHA512: 608fc47a7420342045d9031b21d9ae7bb6be9dbda29d74ac761cfaa7a38118cab8462ba890ee55730959d4e0b09f855b25dd32d3bff3172c2aaf7f790e141ce4 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python3-tensorflow-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.6.0-4+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.6.0-4) Maintainer: Adam Cecile Installed-Size: 380850 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.6.0~), python3-tensorboard (<< 1.7.0~), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.6.0/python3-tensorflow-avx2-sse42-fma-mkl-dnn_1.6.0-4+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 57862216 MD5sum: 570fdcc5283d04faf5151a519c618d31 SHA1: 3bc8a9cbf0eb9d98b8a2daea480b0886a1afe936 SHA256: 7b370c6a47377b4afc4fd8a3b717c54fd12a3ea46fcb864d24ef2319094d919f SHA512: 02ad46fc007cbd5a1baf270c871a230446c67222ad10fed0361c1015196d160c331714f2ac8232c8118ff5d3764de5f8d34f17e770aca7d5d37891050aeaa1b1 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python3-tensorflow-avx2-sse42-fma Architecture: amd64 Version: 1.6.0-4+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.6.0-4) Maintainer: Adam Cecile Installed-Size: 223698 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.6.0~), python3-tensorboard (<< 1.7.0~), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.6.0/python3-tensorflow-avx2-sse42-fma_1.6.0-4+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 35563880 MD5sum: 2dfe2f246547de736d0691964c3e00b8 SHA1: 5a31040bfa008bf42cac2b25335f6b9171466d2d SHA256: 7fb50567ba1fe0622786c03f467d3228f9bb269ed8f1687ee51238080e0662ad SHA512: 06dbea8ae1b3ce5aa9f5e8c718b74a937079610d7f673681637e7b237981fca58061cf700da111bc23903099d9bd192b660bcb3a43aa93f93ca922c4dc8e3d9d Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python3-tensorflow-cuda-avx-sse42 Architecture: amd64 Version: 1.6.0-4+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.6.0-4) Maintainer: Adam Cecile Installed-Size: 919857 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.6.0~), python3-tensorboard (<< 1.7.0~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Recommends: libnvinfer4 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.6.0/python3-tensorflow-cuda-avx-sse42_1.6.0-4+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 84101774 MD5sum: 583faeffd69f39692600795145aca271 SHA1: 280dc73bd57f918a2f5b6ec51eaf982983ee1a1e SHA256: cd020087ef92d81561e67bf6f59a972cd22e7e7d1a363f2ae01cbff71b2f6fcc SHA512: e7a6266e6c4ae82fc32209c0cecbe5faff5fce8bbdcdeb2e1e3b15964cb9d0cf5eb94825939bffd971b593307929da2e92bde7dd817f85e98458be75ca0c21a0 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.6.0-4+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.6.0-4) Maintainer: Adam Cecile Installed-Size: 1077693 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.6.0~), python3-tensorboard (<< 1.7.0~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9), libmkldnn0-nonfree-mkl Recommends: libnvinfer4 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.6.0/python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.6.0-4+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 106237302 MD5sum: 54ef19cba918696de738ac8f919fcab2 SHA1: 532b2190a3d731f716ada5e18e8d0669af4252b3 SHA256: db0a9b45276eb33d97a2e602dd5f6bdf44c8774e5f7c8b5e5a757e1d8ed1add4 SHA512: 2fa31a2041ea4f7b74832b28e85657d37a0f7a44222aa434ef85353ee03c24566b2ce93b1196cf2616711b08ed4b382accf6363ba81a05f0300e4378c4a4919a Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python3-tensorflow-cuda-avx2-sse42-fma Architecture: amd64 Version: 1.6.0-4+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.6.0-4) Maintainer: Adam Cecile Installed-Size: 920048 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1.11.0), python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.6.0~), python3-tensorboard (<< 1.7.0~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Recommends: libnvinfer4 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.6.0/python3-tensorflow-cuda-avx2-sse42-fma_1.6.0-4+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 84362920 MD5sum: 16af94d5af4370d4736383093e29fff1 SHA1: 8c4b5fcc883f6661b965919cc51b8ca243c223e8 SHA256: 4b533a2992f35fb2c696458a79053e1a4d4fbf845b26c15d2eee827d5251ee40 SHA512: 7bd5389156c1e71480ae07c65712a9b47a09e7e78a7203e7edc0a170d897274c60e0495c0ca68113b3373f548a83c4287583a0eba2b3464b9ae8787ef75bb81b Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: tensorflow-tools Architecture: all Version: 1.6.0-4+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.6.0-4) Maintainer: Adam Cecile Installed-Size: 16 Depends: python3-tensorflow (>= 1.6.0-4), python3-tensorflow (<< 1.6.0.0~) Filename: pool-stretch/python-tensorflow-cuda/1.6.0/tensorflow-tools_1.6.0-4+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_all.deb Size: 6006 MD5sum: 565f77f3fff28cbe7b4cdfb83a81e9fb SHA1: 49c17a9a4beffa0af83eedb50a3d552b303df916 SHA256: 2b706149b8fc4cb252d750a3e8900851daaf2d655da2fab1ea3f9270a637289c SHA512: 956445dfd4bdac70c089260e49637da6653e764492bf8b66542d5601d4a60a2c50c02c83e5908b7f53b511c77d5e25616e82bf497fc0998d1beadb9c3cfa2f45 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (cli tools) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package contains "saved_model_cli" and "tensorboard" command line tools. Package: python-tensorflow-avx-sse42 Architecture: amd64 Version: 1.7.1-3+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.7.1-3) Maintainer: Adam Cecile Installed-Size: 187877 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.7.0~), python-tensorboard (<< 1.8.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.7.1/python-tensorflow-avx-sse42_1.7.1-3+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 34546376 MD5sum: ab9bafbf1997924b4b936eb81132243d SHA1: 5558cf04daad61c0eb30feb3b8f2439bc23d7bcb SHA256: d586b0ed65fe115abc93840fce9949cf0de9f33b751a440de4d415d26cd34ff3 SHA512: e9d8fd7d8dbea37b77556a8a781fc34c967722f2a325ea8bfd7c93c751776e3ca3e21e55c470992f0ec777153d22e1ffe8f9ff10770008025d1d1729b11fc47e Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python-tensorflow-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.7.1-3+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.7.1-3) Maintainer: Adam Cecile Installed-Size: 197432 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.7.0~), python-tensorboard (<< 1.8.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.7.1/python-tensorflow-avx2-sse42-fma-mkl-dnn_1.7.1-3+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 36331690 MD5sum: d282f08dcc3287fb7b6035d6b124e8f8 SHA1: 521c9fbc517dc6ee3b1c613de234d4d529f99c2d SHA256: e6aa3834ac998bbebaa80d539082a7792185e11e6ae068bb56242e9493448db5 SHA512: 08dbf2881dfc0e5f191188c8be91257f66a8453cf78400363b24fb4b1b8de7b587c2bd37e715ce85d3375153b3a612195e0324068b62a17e32d28dd6708c4fc5 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python-tensorflow-avx2-sse42-fma Architecture: amd64 Version: 1.7.1-3+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.7.1-3) Maintainer: Adam Cecile Installed-Size: 188125 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.7.0~), python-tensorboard (<< 1.8.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.7.1/python-tensorflow-avx2-sse42-fma_1.7.1-3+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 34583406 MD5sum: 0346bd21a0a69e502d19043f66ed7620 SHA1: d5e673fa8c0074b49059e65a58383db2d153c95b SHA256: 20c96ea7c68a289e83747485e3af6d75e9f4807bbb506cc72d65e0bef48d9732 SHA512: 65b0c1f934dad73f697019c939b517bf3d98df818ffa8bdac51f3c1796658d361a2eac65c353c90b7b6c8f6e23976ee957d942ae580c82b6b32a7313b4f838bf Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python-tensorflow-cuda-avx-sse42 Architecture: amd64 Version: 1.7.1-3+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.7.1-3) Maintainer: Adam Cecile Installed-Size: 867186 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.7.0~), python-tensorboard (<< 1.8.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.7.1/python-tensorflow-cuda-avx-sse42_1.7.1-3+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 81269516 MD5sum: 218f459fd1ac02f47b216988919df06d SHA1: 56cffa7f21f0a1849de792ec17b58de610a63e5c SHA256: 4caf09da5941a98b3f9b1a72eec44f0175f6fe914012d8c359906f03dc1d7952 SHA512: bee6885729dbedf93c7b71eaf7290459441c93d6968c266865b1788ed47c4221275b4c46785aaeba30db7c1be40f57478587ab0af19b840c5a4028c835d1e88c Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.7.1-3+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.7.1-3) Maintainer: Adam Cecile Installed-Size: 876881 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.7.0~), python-tensorboard (<< 1.8.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.7.1/python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.7.1-3+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 82750108 MD5sum: c473601229cb94b2319c9297f42678bd SHA1: a42164b5d4e8ab87b0c73075652fd9ec71ba5fb9 SHA256: 1f78cabf08fbab32747d41388c8c847a828c860a7567d0498dee548e178ba8f1 SHA512: 5db4b25f65c3fd61dc0709fd2e2f62141fabb65a3cd3ffed206cedb2b1e70560c2170a149e4871086e7d9e1818d03216a7931f761309e97d985b16208b85bdbd Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python-tensorflow-cuda-avx2-sse42-fma Architecture: amd64 Version: 1.7.1-3+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.7.1-3) Maintainer: Adam Cecile Installed-Size: 867258 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.7.0~), python-tensorboard (<< 1.8.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.7.1/python-tensorflow-cuda-avx2-sse42-fma_1.7.1-3+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 81386284 MD5sum: 96fc79759097b4e65224ef20b14826ac SHA1: 04692d3d73abc879962ad4db4780204442a21815 SHA256: 31cf8b2552f4925a9e2795a7c24ac19b844f2503f965b7fdb9d7033a425598ae SHA512: d016a4ffcf70a9bcbe5dc5bfb036f0c40527bd99f5381b2e4bba9229e1f42c358ff94d4a83cb58d374b35f543807e18ed39b8f1e594d0e3c0aaaca757ab0952d Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python3-tensorflow-avx-sse42 Architecture: amd64 Version: 1.7.1-3+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.7.1-3) Maintainer: Adam Cecile Installed-Size: 187855 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.7.0~), python3-tensorboard (<< 1.8.0~), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.7.1/python3-tensorflow-avx-sse42_1.7.1-3+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 34512098 MD5sum: e8becf9168cba5785ef0d910a8f581c1 SHA1: 1e8c8c90807837624d2545b3c327e89f164f803a SHA256: b61280eb99dd11af3d5a5dc41034bf9d5dae0c96f3e13f4c8a427bca911d667e SHA512: 50c46702c85913ccb93a59f990d20626f3e79da0f551591af422afee66a5a55b18dae8007bd2d5b9259f6ad429e52708c85cebe7207fe7031873df1c1a30c802 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python3-tensorflow-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.7.1-3+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.7.1-3) Maintainer: Adam Cecile Installed-Size: 197406 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.7.0~), python3-tensorboard (<< 1.8.0~), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.7.1/python3-tensorflow-avx2-sse42-fma-mkl-dnn_1.7.1-3+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 36312284 MD5sum: 26135783e3829bdacb4d85faa2786d13 SHA1: f26842bca35d633fb41d2d0e0a40a495363ba366 SHA256: d9984e7439242fdc08195c18ebf3bc892701eeeb0aee7abb519e00e22c3f9807 SHA512: f94e931a355b37dac183d9792619a02e7b00ff2dd4bc9bc654b2b445dec5685cb93c4794133504c1764821d6d05cf4f944af8cf7f6d0675756ffdd3a417ec2f4 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python3-tensorflow-avx2-sse42-fma Architecture: amd64 Version: 1.7.1-3+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.7.1-3) Maintainer: Adam Cecile Installed-Size: 188107 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.7.0~), python3-tensorboard (<< 1.8.0~), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.7.1/python3-tensorflow-avx2-sse42-fma_1.7.1-3+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 34598434 MD5sum: cef6831d3d395dee56cbcfab76164c75 SHA1: c3396441920fe4eada742121d03c2933a8cf7eaf SHA256: 34760cdbe2741da999e1acd30b372a6f56fdb0ed228f15cdfebecb3dbd9b0bed SHA512: c27b0335d25ca5517789618ac38e3bcfc1ca8abd9319a6e99630840d0068e001e8409f771bcd0c433ac63f56f12abb9b73e8009886243b2b7b9842ef6b92d523 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python3-tensorflow-cuda-avx-sse42 Architecture: amd64 Version: 1.7.1-3+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.7.1-3) Maintainer: Adam Cecile Installed-Size: 867172 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.7.0~), python3-tensorboard (<< 1.8.0~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.7.1/python3-tensorflow-cuda-avx-sse42_1.7.1-3+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 81194816 MD5sum: 86932e75e8b28dc13a71ca59e8ad906a SHA1: c9c00cc439b6660984510cad831e7901dc530ca1 SHA256: d5fd071671e710dc986c6d4204d03527b8ab1af705bbfcc2f9d3f469ebc8af7c SHA512: bf50398cb638b2a6b2bd729fc63476e092c651322aa9b28c6e0bbd6ee22dc74a94937773b6d3371508373923b641bf60d1e9de6b1cf37b1f0f24419ccdb438d9 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.7.1-3+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.7.1-3) Maintainer: Adam Cecile Installed-Size: 876863 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.7.0~), python3-tensorboard (<< 1.8.0~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.7.1/python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.7.1-3+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 82831366 MD5sum: 9bb25573f8ad55ff0b17a9315c5a9c9f SHA1: f135cd044d6ebe7a55d419b90ffccf941a7fa474 SHA256: eb3b11f4bda8d7635264ccf0271e7f5ac0fb9b594ba65b29d891cef1bf0901fe SHA512: 81ae5dcf6fe44fbeb454b8adc29c41dcedebf11322104ae044c65bdb43cb0d1d373695d49f2536a85eac0773cf828c91f27cf9b63ea9d3484428fa01d54ca8a3 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python3-tensorflow-cuda-avx2-sse42-fma Architecture: amd64 Version: 1.7.1-3+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.7.1-3) Maintainer: Adam Cecile Installed-Size: 867236 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.7.0~), python3-tensorboard (<< 1.8.0~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.7.1/python3-tensorflow-cuda-avx2-sse42-fma_1.7.1-3+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 81243410 MD5sum: f99494526a7f18381aee25ddea072559 SHA1: 272b5144a00bc32a88b981b2e8d3259af93c65dd SHA256: 1a3bde90e0e802587ca5058fbf642e15090bef2c129c4497000b0a7fcfd7288e SHA512: bdf2c334cba64c9b4e12b68254d4ca78df496d115f2b74ba8845d35efc7e1ee081f138735f76d87fc453fb3a1cad28a8c9057fd9d8e3f0e67286486217ab9d61 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: tensorflow-tools Architecture: all Version: 1.7.1-3+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.7.1-3) Maintainer: Adam Cecile Installed-Size: 16 Depends: python3.5:any, python3:any (>= 3.4~), python3-tensorflow (>= 1.7.1-3), python3-tensorflow (<< 1.7.1.0~) Filename: pool-stretch/python-tensorflow-cuda/1.7.1/tensorflow-tools_1.7.1-3+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_all.deb Size: 6264 MD5sum: 33c8bfcf12bf6d508c1de377e706c028 SHA1: 8cd0445ec8aa70137a3ab78ab8b50e7d74a7323d SHA256: 69065a9333915cb65a676ec9974460524a36e814c17f6b2d99f826b1a7dddbaa SHA512: 0016ee5e30c96446c34a0c13dd1936a828e74a84adbcca9167f8bd116f6973685afe8a2a2961ae0b8e7449ae83ad68f225d043e15ecdab60883251bbb36862eb Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (cli tools) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package contains "saved_model_cli" and "tensorboard" command line tools. Package: python-tensorflow-avx-sse42 Architecture: amd64 Version: 1.8.0-2+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.8.0-2) Maintainer: Adam Cecile Installed-Size: 195576 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.8.0~), python-tensorboard (<< 1.9.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.8.0/python-tensorflow-avx-sse42_1.8.0-2+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 35261984 MD5sum: eafb0f44aea3ea621591361d827375ec SHA1: c7c6ecc25514f424b93c63c6a9b840248c18a0ef SHA256: 9e5b84941c694a00d9b5e130a8486d897bcae550407fa788d5e5b6e7c6ef63e4 SHA512: 34b1428cd4ee3f7bbd90988d253349f6839af508db551c0b2e857681182a200321b77f930b1ddba0643490ed48f1fc909fb82daa9599256c6a46fa5b3efcb5ee Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python-tensorflow-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.8.0-2+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.8.0-2) Maintainer: Adam Cecile Installed-Size: 205107 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.8.0~), python-tensorboard (<< 1.9.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.8.0/python-tensorflow-avx2-sse42-fma-mkl-dnn_1.8.0-2+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 37073672 MD5sum: d4b98908dac8e5790c5d9f2b40d943b0 SHA1: 5ccd979960d3cd50e3631985c0500aaa586a1522 SHA256: 18ffdcbe86704ca2a582cac6f01edeff47c783aab12dab65b998aca169ce6973 SHA512: eec7fadaeb23e8789a6838faae7786f8d501de02a6635222d73fbd759efb4af9366f9b5581afd0ac21bc1a16eb08d295ad8d48154a33f8916257d8d245d8a438 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python-tensorflow-avx2-sse42-fma Architecture: amd64 Version: 1.8.0-2+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.8.0-2) Maintainer: Adam Cecile Installed-Size: 195812 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.8.0~), python-tensorboard (<< 1.9.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.8.0/python-tensorflow-avx2-sse42-fma_1.8.0-2+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 35329202 MD5sum: a6ce0bae6e2c9c4c36815c74f2349984 SHA1: b5620fa707ebc7f31b353c3ebc550472b27aaf72 SHA256: 8b537fca94094ceef3712e023c7e913a7a5d10259826360fd722d729d64f42cf SHA512: 25c6b900313a704ebf7a0a619ed0a4a3321278508b2a7f7dbb51db1e30208ab527382357606610f0bf1d3fc4bc69f8114a4bc648456536b57a49e51c8d4b37e4 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python-tensorflow-cuda-avx-sse42 Architecture: amd64 Version: 1.8.0-2+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.8.0-2) Maintainer: Adam Cecile Installed-Size: 891671 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.8.0~), python-tensorboard (<< 1.9.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.8.0/python-tensorflow-cuda-avx-sse42_1.8.0-2+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 82067732 MD5sum: d2acc586845747515d66c30c3c475e9c SHA1: b2026f28fe032d88d17a134e5a78317930a596cc SHA256: 3111acfcdef448905e7a1c409a37d2793192099e37021b3d9ac0567560864183 SHA512: de1af8a59a6644c1673bcb6e831f3ba76672348adea2288ae780fc4b5fb32caecf55ab288b633e570930e9c2a65d89c510b77f99b29eeff778bd456db1e2ab02 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.8.0-2+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.8.0-2) Maintainer: Adam Cecile Installed-Size: 901398 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.8.0~), python-tensorboard (<< 1.9.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.8.0/python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.8.0-2+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 85678648 MD5sum: 2782f819175891b6ac2ccce3b492f6d8 SHA1: 3d54a519c7391ca618f9286b8cd8a07c12adb642 SHA256: 88d3dcba67638f702b8434d7b3b1bd2bf3a39d76ddac9b60e55e181a7c3d63b1 SHA512: d2b33fd4fa78f20e53acb259480f0f66a5104bc35d4b658db5e7f2616d096876764285f5d55b1a3c76cabf46987cfd9bae42fd24e90cf8b9be55d8eddb391d89 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python-tensorflow-cuda-avx2-sse42-fma Architecture: amd64 Version: 1.8.0-2+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.8.0-2) Maintainer: Adam Cecile Installed-Size: 891755 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.8.0~), python-tensorboard (<< 1.9.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.8.0/python-tensorflow-cuda-avx2-sse42-fma_1.8.0-2+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 82113090 MD5sum: a935d16f65d223c233f92c825b713049 SHA1: 3bd0b99536e8ba3b27f638a9a36ea49454dd4df8 SHA256: cacfafd20354ef4cd00c7d3938fc3002eb3fcbc4e24911920d8abb8a1fbd4a6b SHA512: facc470be7029883dae399bbb5ec2adbbe078c237c181f3fb9084470a3e3df0f7dd2d17479be0fb2cbf38d7871b1701a6fc998bb0b19395bf8e79b4cecb05108 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python3-tensorflow-avx-sse42 Architecture: amd64 Version: 1.8.0-2+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.8.0-2) Maintainer: Adam Cecile Installed-Size: 195562 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.8.0~), python3-tensorboard (<< 1.9.0~), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.8.0/python3-tensorflow-avx-sse42_1.8.0-2+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 35238142 MD5sum: 5ea29dbd9fec3e7728908d00b3a719c5 SHA1: 6f29accb26a09babd49619f892417b4972227d85 SHA256: 13d3bb73b408f0a120f5e7b07dd9830e0b82cf563ef0e7af33c4821cd1f1383e SHA512: 2909b2c059795b1cb980f7550b79d86da2fcb7988ade6284fcaafb80f6a961dd9e3f2b1bacf18b876353ec72a963c5541d0b7368af02842c7e76e668ddd30fa9 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python3-tensorflow-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.8.0-2+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.8.0-2) Maintainer: Adam Cecile Installed-Size: 205093 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.8.0~), python3-tensorboard (<< 1.9.0~), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.8.0/python3-tensorflow-avx2-sse42-fma-mkl-dnn_1.8.0-2+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 37085146 MD5sum: c2453b8bcbb7e2472f91c5a327eec2b8 SHA1: 08f53dc24773aeeafbd6b8d076d7c1258070fcab SHA256: 8ae795a037790fc2c1597ea60dfadf4eec8798279cf08bb8c770a43c327a74ed SHA512: 0f81eb1f8f64283eec557d08d67de7db99dd44900b88ceca2a526592545068b1aeeb04ab3de56d03d8ddd4bae1e443528d989103d5b8d12c04a5ae52bf5c6ddc Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python3-tensorflow-avx2-sse42-fma Architecture: amd64 Version: 1.8.0-2+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.8.0-2) Maintainer: Adam Cecile Installed-Size: 195798 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.8.0~), python3-tensorboard (<< 1.9.0~), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.8.0/python3-tensorflow-avx2-sse42-fma_1.8.0-2+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 35306422 MD5sum: af4547ac4319e1bbf79131ecedaf9606 SHA1: b06298d091ccd06a1cd7b389a4492ae5ba60560b SHA256: 77aa2024eab3251dfab0ba94d0513f5bc0cc6559c744715ad0cd8977de7c91f1 SHA512: 66ecfd5ca7c648b075c612624330342c9101e89df5ca75e8b767c2246d4868c7c93cf8187feb7057d7e5455e969e891006cb8691c929d04512dee53240846ccc Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python3-tensorflow-cuda-avx-sse42 Architecture: amd64 Version: 1.8.0-2+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.8.0-2) Maintainer: Adam Cecile Installed-Size: 891657 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.8.0~), python3-tensorboard (<< 1.9.0~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.8.0/python3-tensorflow-cuda-avx-sse42_1.8.0-2+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 82043012 MD5sum: 5538fc58f4389be65c7b2bdad6f3264d SHA1: 9e46aa141eaa77b6d72c8f3e9d305a04e4a27dba SHA256: 3f0fc7660dccaad7b17f90a6ec523b9a0ac7b045350345cbaf84caa8409a4cd5 SHA512: e2ff4406098fcdc68ed89cbb65ad8c418ad22ae784b901f85f1c2bf1bfc5cda33e2f50c5fd965c3fcc943027d9b165ea7937791ef3fe4f524d8a5dc2a87e7385 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.8.0-2+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.8.0-2) Maintainer: Adam Cecile Installed-Size: 901384 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.8.0~), python3-tensorboard (<< 1.9.0~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.8.0/python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.8.0-2+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 85733082 MD5sum: e3391f6b866e95481df4c07eb02a2aa8 SHA1: 8116b5d6aea34e853ebd2af250cffa470bb8f1f5 SHA256: 344d4df80ff0c12bca42847e9e58f9a4b585a01bd52398bf0fb6aa310e120e77 SHA512: 9a551d856f68b5c3f6ce1e9653c41cb0e052f5b4718869f1229da844d3cdb7086e66b60aa88f18e4d8adf69f6dca9606631a1588ab648f837e66ab564452baa1 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python3-tensorflow-cuda-avx2-sse42-fma Architecture: amd64 Version: 1.8.0-2+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.8.0-2) Maintainer: Adam Cecile Installed-Size: 891741 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.8.0~), python3-tensorboard (<< 1.9.0~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.8.0/python3-tensorflow-cuda-avx2-sse42-fma_1.8.0-2+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 82072776 MD5sum: 68055de5e321c01e2c54b954c327b54b SHA1: cb35954cdde3cbb33583ae58c76d1e877f3114ad SHA256: 2a2cb3d22a97d409e91ca032bba044c72a4eb35bc6609bacbe09e4884b409616 SHA512: 9448dc286a4f912bb042ab9e8c876f30d934666b83a62980b7f51722d689d9a52337fa2b6ebc35580d644bb38003aea416f67c7bf5af1e162678dfcd2ddafb82 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: tensorflow-tools Architecture: all Version: 1.8.0-2+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.8.0-2) Maintainer: Adam Cecile Installed-Size: 16 Depends: python3.5:any, python3:any (>= 3.4~), python3-tensorflow (>= 1.8.0-2), python3-tensorflow (<< 1.8.0.0~) Filename: pool-stretch/python-tensorflow-cuda/1.8.0/tensorflow-tools_1.8.0-2+Debian.stretch.9.6+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_all.deb Size: 6298 MD5sum: 16670ba46ab562ea178a89241932d665 SHA1: f380ecfafffb03ac3b6feb5f16deef75654915e2 SHA256: 752f103e48d0ff7676cbdc18e88ade685b5f1faf7a8843a1dbbe6cb023b3847a SHA512: 655e48ad863a442f5140946439f46231dddc9d451f90ead52336a4c89e46aec3b5e1fb3ea666d357054f61a6952c9d257ecec5633828013f2cf0459985510da6 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (cli tools) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package contains "saved_model_cli" and "tensorboard" command line tools. Package: python-tensorflow-avx-sse42 Architecture: amd64 Version: 1.9.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.9.0-1) Maintainer: Adam Cecile Installed-Size: 225368 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.9.0~), python-tensorboard (<< 1.10.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.9.0/python-tensorflow-avx-sse42_1.9.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 39725346 MD5sum: aa9a669750945ce26f4cb3ee8ddc387b SHA1: b52f206c42bb2b1b628fef7e80a679ac9dfb0d81 SHA256: 162a25d5f3742a7e11a97c9cb6a4982fcc80024130531cd8badf5428714320fa SHA512: bfbe4cee381804679b2a9b328a8f337e8c9959535c02e0607dc6e760a28ceaebd7ef5d486a006f36c7f20e8a576c5202cc5c7a4aadb26801ab2916417f630047 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python-tensorflow-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.9.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.9.0-1) Maintainer: Adam Cecile Installed-Size: 241404 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.9.0~), python-tensorboard (<< 1.10.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.9.0/python-tensorflow-avx2-sse42-fma-mkl-dnn_1.9.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 42117328 MD5sum: 60ee96e1efb1186439c1f49e38cbeeb8 SHA1: 493d1777c252df84c10e4fb31209fea0da499b6f SHA256: 26ed7c46b0b0fbf033b5cd3081e9d04718f75d1871d19941a0087000e663b963 SHA512: 054b6c6568f5ba8818b97870e0f07573fb09e6a4ea8317bc7727c9d7005027209e6da21d414e1367148ea2e4fa35dfb9b538dd4c853c5b8d41b61f6ea2624215 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python-tensorflow-avx2-sse42-fma Architecture: amd64 Version: 1.9.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.9.0-1) Maintainer: Adam Cecile Installed-Size: 225616 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.9.0~), python-tensorboard (<< 1.10.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.9.0/python-tensorflow-avx2-sse42-fma_1.9.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 39761470 MD5sum: cbbb5175f2fc80ebfac6d55427385d41 SHA1: 1d7ffa2364040d29a1add87d52f6f2cf875b2282 SHA256: 171d9cdc455acea1f9d669e2e98fdbea241a2d30dd254e62ae2f873758950e42 SHA512: 8c90acc2231801dfc025386eb7fd3843e003f718a467f0c024f74fa716138e41dfc85da43a3edbff4d5fde7258b97c3cf17b399c6463cdbd557cfef3e320cfa2 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python-tensorflow-cuda-avx-sse42 Architecture: amd64 Version: 1.9.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.9.0-1) Maintainer: Adam Cecile Installed-Size: 957418 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.9.0~), python-tensorboard (<< 1.10.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.9.0/python-tensorflow-cuda-avx-sse42_1.9.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 90324110 MD5sum: f9e3e2c9548a9dde1d2cb91230b05add SHA1: 049949e67900279336b1fe8760f556286f14a161 SHA256: 984066458d15e1700571276ca8451ce9f8354ce6f1fdeb87f5a836066fcb87e3 SHA512: 8c130f101f2d564705fea5f65a94be6cc325a94df0c6ab95dc8ade7d65c42d86681a40207fb78464dfbfda31f5256af6a57c202d606b5c6d2799ea87d63a7f32 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.9.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.9.0-1) Maintainer: Adam Cecile Installed-Size: 974114 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.9.0~), python-tensorboard (<< 1.10.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.9.0/python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.9.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 95293572 MD5sum: da9f98b61f0dfb564b1301491a236b71 SHA1: 1c36963fb5a298c922a42840ff8a27ca7af67895 SHA256: 3e61f0b17eba287a6b4b5da3a85bf0234b03d16b9ce22b1f39b15047c4fbfdf1 SHA512: 54a05961a6b5ccae86542de1dc396828a343aaaf1f7e4d718e17d8667ab447cf610e95e919ae3ac6cdcc1038ffeaea36e19d08313de9363e63631bfe37532aac Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python-tensorflow-cuda-avx2-sse42-fma Architecture: amd64 Version: 1.9.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.9.0-1) Maintainer: Adam Cecile Installed-Size: 957530 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-absl (>= 0.1.6~), python-six (>= 1.10.0), python-protobuf (>= 3.4.0), python-astor (>= 0.6.0~), python-gast (>= 0.2.0~), python-grpcio (>= 1.8.6~), python-termcolor (>= 1.1.0~), python-tensorboard (>= 1.9.0~), python-tensorboard (<< 1.10.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.9.0/python-tensorflow-cuda-avx2-sse42-fma_1.9.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 90187396 MD5sum: 81a9648d4bb4f90da51d2e13c78eb03f SHA1: 0133b8d18e7a3ded97526681195bd5a99cba19ef SHA256: f00eb91d4f72c792f51b777cf1b76305ba34210bcfc1dc281930e39efe724cc9 SHA512: 17ee4cf6f069cf180dc37db270472e000d2b42babaed40bd70acb45493a7cd85fba79a2c408aceadc44556991a25836d792c864f26b5656e4e2ca2805348743f Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 2) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 2 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python3-tensorflow-avx-sse42 Architecture: amd64 Version: 1.9.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.9.0-1) Maintainer: Adam Cecile Installed-Size: 225356 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.9.0~), python3-tensorboard (<< 1.10.0~), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.9.0/python3-tensorflow-avx-sse42_1.9.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 39749462 MD5sum: b21e052a159ea6f787019222444895b7 SHA1: a779a984363f12030988b5418f8000ea997235a4 SHA256: fbc2f286058da0176c1f27ee5a76e0bf0b8c7bce70719097f28ff3d9d15fd8a1 SHA512: 9f7ee077a1d2fa581aee1e5c964912e2dc3a161c0ab1dbf7343adb3dbd042018c11ccb4f3ca812d15767271d71597685c640b44063a0af8cec279812b641b535 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python3-tensorflow-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.9.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.9.0-1) Maintainer: Adam Cecile Installed-Size: 241392 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.9.0~), python3-tensorboard (<< 1.10.0~), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.9.0/python3-tensorflow-avx2-sse42-fma-mkl-dnn_1.9.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 42140688 MD5sum: f7017a9f94f8d4d59c24481924186a3b SHA1: e99d304426bbcbb0a31bebb5fc8a14a41882b8e7 SHA256: 6e45a1d26826344a1761b70db6658d9d541df5f482f10b6b0081de82525759dd SHA512: 212d91ddcf729365f9cc19ddd52a0b49127d5b1ac13d71a7cf1d93bdf1f42cbeee9a5f1c0fc7e7e5c7bd91937b21d0cab164152d10527bfef0df09f8e14c3811 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python3-tensorflow-avx2-sse42-fma Architecture: amd64 Version: 1.9.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.9.0-1) Maintainer: Adam Cecile Installed-Size: 225604 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.9.0~), python3-tensorboard (<< 1.10.0~), libc6 (>= 2.23), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.9.0/python3-tensorflow-avx2-sse42-fma_1.9.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 39809446 MD5sum: c0fea81ee52e47e4b44fc0089874d6b1 SHA1: 2aeb444176694be6f16ad97919f94eb8913d44ab SHA256: ad2a4803a4b02f92fcaf7b3fbe541c37bc0cc3a29375ea90fb13529c954922af SHA512: b0ce9fbabbdaecc803811f403042dd6b6e400896f58bb224850719f8ee5224780f8ecbad9c65baecea324138949e5b4032076a7b13db1c86d64f1b813dc47889 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: python3-tensorflow-cuda-avx-sse42 Architecture: amd64 Version: 1.9.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.9.0-1) Maintainer: Adam Cecile Installed-Size: 957395 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.9.0~), python3-tensorboard (<< 1.10.0~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.9.0/python3-tensorflow-cuda-avx-sse42_1.9.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 90462252 MD5sum: 635d223aab46508cc6840b25bdf08a09 SHA1: 29340ad1fd7d5c2fd1ffe2bd1da8f1b1ce09ad70 SHA256: 5434db8010e12cc21ecf61adf5c2cee7008cedfcef5053c2d5558f384ebf1667 SHA512: b70997e05514fc3ab4f40f8b6ea0eed4dc338462586a8a44350e16faa38332ad152c2636c2ca8c5ae5903524585b0a7d19b59ea905f56a19024ebd7e255df941 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -msse4.1 -msse4.2 Package: python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn Architecture: amd64 Version: 1.9.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.9.0-1) Maintainer: Adam Cecile Installed-Size: 974103 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.9.0~), python3-tensorboard (<< 1.10.0~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.9.0/python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.9.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 95271106 MD5sum: 2339da3f717080ddaa0f836ea80dd2a6 SHA1: 14e9d71e9c5fba02de78f3e07f08cd1ee63b6ff3 SHA256: 6ced210e46524def78138b1313e27546f27ebe8ce0957c2d9bf4ab0b91bcc374 SHA512: 3eb610be3d7aa92fbf4e3bb9fcee7e2cee513d70feebc8b9031afcbe002d9ea20cc29757e768994c2441272e07298b74b152ab846e467cf17a34f770b2a408da Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 . Intel MKL DNN library has been used to provide Intel CPU optimizations. Package: python3-tensorflow-cuda-avx2-sse42-fma Architecture: amd64 Version: 1.9.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.9.0-1) Maintainer: Adam Cecile Installed-Size: 957515 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.6), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-absl (>= 0.1.6~), python3-six (>= 1.10.0), python3-protobuf (>= 3.4.0), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-tensorboard (>= 1.9.0~), python3-tensorboard (<< 1.10.0~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 346), libcudart8.0 (>= 7.0), libcudnn7 (= 7.1.1.5-1+cuda8.0), libcufft8.0 (>= 5.5), libcurand8.0 (>= 3.2), libcusolver8.0 (>= 7.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 4.9) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-stretch/python-tensorflow-cuda/1.9.0/python3-tensorflow-cuda-avx2-sse42-fma_1.9.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_amd64.deb Size: 90420052 MD5sum: 7f544bdf57f1b3abd2e3409aca3de96d SHA1: 0c0babb91756bd7c334afa6a839661cf4464e845 SHA256: 1be8867d51b15eac0e570ca67d14f779b9f3f17ac210f17aa48c34c8fc8ff998 SHA512: 2fefdf92e216dc6adf8854655aa75a016c1ac493500378f57fce72fdd6077fbf62e875b68631687132b3f5cb2f1f9a13dbca5eed673fc695f62603c165452593 Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (Python 3) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package installs the library for Python 3 built with nvidia CUDA. . CPU optimization enabled: -mavx -mavx2 -mfma -msse4.1 -msse4.2 Package: tensorflow-tools Architecture: all Version: 1.9.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61 Priority: optional Section: python Source: python-tensorflow-cuda (1.9.0-1) Maintainer: Adam Cecile Installed-Size: 17 Depends: python3.5:any, python3:any (>= 3.4~), python3-tensorflow (>= 1.9.0-1), python3-tensorflow (<< 1.9.0.0~) Filename: pool-stretch/python-tensorflow-cuda/1.9.0/tensorflow-tools_1.9.0-1+Debian.stretch.9.7+Cuda.8.0.Levels.30.35.37.50.52.53.60.61_all.deb Size: 6578 MD5sum: 4cdc6fa1ac45c2c01ebebe100ccd984e SHA1: e3b27cb498c348434fbaeba202061ab4225ca630 SHA256: 6b92ddcc9330dfe24a20c55ea843d44d7fbe1153101d4fa2be7bc939fcdba487 SHA512: 9d0bcb883a23c1d568fcc5e60b2d72f88abc0559e7318157a0dceddaec5b7aba46960b5d70cbb2ac632255287547baefb36931016a44ce7dc81a8278b6ab520b Homepage: https://www.tensorflow.org/ Description: library for numerical computation using data flow graphs (cli tools) TensorFlow is an open source software library for numerical computation using data flow graphs. . Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. . The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. . This package contains "saved_model_cli" and "tensorboard" command line tools. Package: python3-timezonefinder Architecture: all Version: 4.0.2-0 Priority: optional Section: python Source: python-timezonefinder Maintainer: Adam Cecile Installed-Size: 46075 Depends: python3-importlib-resources, python3-numpy, python3:any (>= 3.4~) Recommends: python3-numba Filename: pool-stretch/python-timezonefinder/python3-timezonefinder_4.0.2-0_all.deb Size: 21159876 MD5sum: bd3abc397df67a3a2c2380e352bfde45 SHA1: c0177f11bb788b63a29ab24ba82794c336e225b1 SHA256: 87e8e0591221127d55565de0477981dcd9a65c3942f4365e7eabe84220133973 SHA512: 85cbb2a7a1084447158ef2d8a2d7e96be34248294dcbd923628e97b8b418efa920ed4f123f102ce46a19550cdfeb41ee5ceafc9faf7031b47f86c4a3363beb7b Homepage: https://github.com/MrMinimal64/timezonefinder Description: Finding the timezone of any point on earth offline (Python 3) This is a fast and lightweight python project for looking up the corresponding timezone for a given lat/lng on earth entirely offline. . This package installs the library for Python 3. 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Package: python-pytorch-sphinx-theme Architecture: all Version: 0.0.24.git20191017.master.9e76b28-1+Debian.9.11.stretch Priority: optional Section: python Source: pytorch-sphinx-theme (0.0.24.git20191017.master.9e76b28-1) Maintainer: Adam Cecile Installed-Size: 431 Depends: python-sphinx, python:any (<< 2.8), python:any (>= 2.7.5-5~) Filename: pool-stretch/pytorch-sphinx-theme/python-pytorch-sphinx-theme_0.0.24.git20191017.master.9e76b28-1+Debian.9.11.stretch_all.deb Size: 72712 MD5sum: 8c1e47a553cc5cb9406697005156cb03 SHA1: 833f13f0599fbfe63344d5465549cc5d5de4f8de SHA256: 17228254a9f5b82bb5ef82099eb9d9fffd07ae39ca68fab16a651c60d371f972 SHA512: a152a48290b80296f63de0198f3f8230a563119822a75ecab63ab2e10596970796510b05023d5477a02ced7ada1009c0745c617bc03ad3fcea31e4f034eeeed8 Homepage: https://github.com/pytorch/pytorch_sphinx_theme Description: Sphinx theme for PyTorch Docs and PyTorch Tutorials (Python 2) Sphinx theme for PyTorch Docs and PyTorch Tutorials based on the Read the Docs Sphinx Theme. . 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Package: python-torch-avx-sse42 Architecture: amd64 Version: 0.2.0-1+Debian.stretch.9.1 Priority: optional Section: python Source: pytorch (0.2.0-1) Maintainer: Adam Cecile Installed-Size: 19878 Provides: python-torch Depends: python (<< 2.8), python (>= 2.7~), python-numpy, python-yaml, python:any (<< 2.8), python:any (>= 2.7.5-5~), libc6 (>= 2.23), libgcc1 (>= 1:3.3.1), libgomp1 (>= 4.9), libopenmpi2, libstdc++6 (>= 5.2) Suggests: python-torch-doc Conflicts: python-torch Replaces: python-torch Filename: pool-stretch/pytorch/pytorch/python-torch-avx-sse42_0.2.0-1+Debian.stretch.9.1_amd64.deb Size: 3146438 MD5sum: e2b495760586030ed47107e4e9f98cea SHA1: 67d9d080bf02940f5edc677d16658f6e9d0a9643 SHA256: bde84e4468f801bc4824bd6c6c84f405f2ac2a627e036cc00cd69a6826cae7af SHA512: 914861c1d1a4627bd5b8f024046c7628659d54829c750746d9daf6dae3809a569df123b4692eddfe49a9c9082029c73d4e81b9f83980ecf2f49b8748ee4c1188 Homepage: http://pytorch.org/ Description: Facebook's Tensors and Dynamic neural networks (Python 2) PyTorch is a Python package that provides two high-level features: . * Tensor computation (like NumPy) with strong GPU acceleration * Deep neural networks built on a tape-based autograd system . You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. . This package has been built with AVX1 and SSE4.2 CPU features. AVX2 and FMA have been built in too but gets skipped at runtime if your CPU does not support it. . This package installs the library for Python 2. Package: python-torch-avx-sse42 Architecture: amd64 Version: 0.3.0+debian-1+Debian.stretch.9.3 Priority: optional Section: python Source: pytorch (0.3.0+debian-1) Maintainer: Adam Cecile Installed-Size: 23604 Provides: python-torch Depends: python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-yaml, python:any (<< 2.8), python:any (>= 2.7.5-5~), libc6 (>= 2.23), libgcc1 (>= 1:3.3.1), libgomp1 (>= 4.9), libopenmpi2, libstdc++6 (>= 5.2) Suggests: python-torch-doc Conflicts: python-torch Replaces: python-torch Filename: pool-stretch/pytorch/pytorch/python-torch-avx-sse42_0.3.0+debian-1+Debian.stretch.9.3_amd64.deb Size: 3792884 MD5sum: 59b3c6da9e85b8dcd371d8aad0c93921 SHA1: 482446f8400187cd5e30e07acc44d126977001e0 SHA256: 5c851079962c6e31be04511bdf3f86aff5db5b347d35884f1c82dc4f5b87f2f1 SHA512: 953ce9b8aaf6317ed6f080431b3dde781762a9315c0282243477088d2a1e5f58a34105859d080b526fdd57955b471f51f6dc63af95a56a0ef2fd0094e7be017e Homepage: http://pytorch.org/ Description: Facebook's Tensors and Dynamic neural networks (Python 2) PyTorch is a Python package that provides two high-level features: . * Tensor computation (like NumPy) with strong GPU acceleration * Deep neural networks built on a tape-based autograd system . You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. . This package has been built with AVX1 and SSE4.2 CPU features. AVX2 and FMA have been built in too but gets skipped at runtime if your CPU does not support it. . This package installs the library for Python 2. Package: python-torch-cuda-avx-sse42 Architecture: amd64 Version: 0.2.0-1+Debian.stretch.9.1 Priority: optional Section: python Source: pytorch (0.2.0-1) Maintainer: Adam Cecile Installed-Size: 1275831 Provides: python-torch Depends: python (<< 2.8), python (>= 2.7~), python-numpy, python-yaml, python:any (<< 2.8), python:any (>= 2.7.5-5~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcudart8.0 (>= 6.0), libcudnn6 (= 6.0.21-1+cuda8.0), libcurand8.0 (>= 3.2), libcusparse8.0 (>= 7.0), libgcc1 (>= 1:3.3.1), libgomp1 (>= 4.9), libnccl1, libnvtoolsext1 (>= 5.0), libopenmpi2, libstdc++6 (>= 4.9) Suggests: python-torch-doc Conflicts: python-torch Replaces: python-torch Filename: pool-stretch/pytorch/pytorch/python-torch-cuda-avx-sse42_0.2.0-1+Debian.stretch.9.1_amd64.deb Size: 79345242 MD5sum: fc6aab27a0b72474ae18179e60b3e694 SHA1: 9bf60b2670254a94cd9e94818ab4e1468ebfda58 SHA256: 23c385b38d62575e7b0a8c92d5ef5846b2f7a4da382834df1a125056ec47a156 SHA512: 2b75a5daacf5889d3f22762e5af95a093ef1860e17f26c42181acf7d393102565df53ab118036c4d4abd9df5d73b59f231edbc71b925c8953c75ccce1498e680 Homepage: http://pytorch.org/ Description: Facebook's Tensors and Dynamic neural networks (Python 2) PyTorch is a Python package that provides two high-level features: . * Tensor computation (like NumPy) with strong GPU acceleration * Deep neural networks built on a tape-based autograd system . You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. . This package has been built with AVX1 and SSE4.2 CPU features. AVX2 and FMA have been built in too but gets skipped at runtime if your CPU does not support it. . This package has been built with nvidia CUDA support. . This package installs the library for Python 2. Package: python-torch-cuda-avx-sse42 Architecture: amd64 Version: 0.3.0+debian-1+Debian.stretch.9.3 Priority: optional Section: python Source: pytorch (0.3.0+debian-1) Maintainer: Adam Cecile Installed-Size: 1324254 Provides: python-torch Depends: python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-yaml, python:any (<< 2.8), python:any (>= 2.7.5-5~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 169), libcudart8.0 (>= 7.0), libcudnn6 (= 6.0.21-1+cuda8.0), libcurand8.0 (>= 3.2), libcusparse8.0 (>= 7.0), libgcc1 (>= 1:3.3.1), libgomp1 (>= 4.9), libnccl1, libnvrtc8.0 (>= 7.0), libnvtoolsext1 (>= 5.0), libopenmpi2, libstdc++6 (>= 4.9) Suggests: python-torch-doc Conflicts: python-torch Replaces: python-torch Filename: pool-stretch/pytorch/pytorch/python-torch-cuda-avx-sse42_0.3.0+debian-1+Debian.stretch.9.3_amd64.deb Size: 94786274 MD5sum: 30eacd318e6521422816da21a4682385 SHA1: 40c59f80c9ede04118e06e7b4dc0305ec68ff17e SHA256: bad5621d00f7ac28b7532bd4859eb1b01acc17d5cc2c6aea9c5e60af2e20ca80 SHA512: ad0b7708903368505dfce438f8b481e58774807770439f3bded293b535af33626a5c8c4318b15a5c9d930f25023f86374cc17368e96d270c34ac289d2cf3da27 Homepage: http://pytorch.org/ Description: Facebook's Tensors and Dynamic neural networks (Python 2) PyTorch is a Python package that provides two high-level features: . * Tensor computation (like NumPy) with strong GPU acceleration * Deep neural networks built on a tape-based autograd system . You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. . This package has been built with AVX1 and SSE4.2 CPU features. AVX2 and FMA have been built in too but gets skipped at runtime if your CPU does not support it. . This package has been built with nvidia CUDA support. . This package installs the library for Python 2. Package: python-torch-doc Architecture: all Version: 0.2.0-1+Debian.stretch.9.1 Priority: optional Section: doc Source: pytorch (0.2.0-1) Maintainer: Adam Cecile Installed-Size: 3039 Filename: pool-stretch/pytorch/pytorch/python-torch-doc_0.2.0-1+Debian.stretch.9.1_all.deb Size: 1750490 MD5sum: 6efa0d4906d801a4bf9cb12d30ea848e SHA1: 9f95582eeb1cc7ad3738ee4891d141297fbb7534 SHA256: a38aa61f48bc8b0982fc23770ef0f126a4a969639fbabfe0f3273c2d29ae45ee SHA512: c6545c533b3c81b45081e8c59d1974ef3180d04bf4eea2f4c6ba85bfb4462a6b67710f8e0aa3498180191b56175a717a1335d381aa04bb2f4c98988f35073033 Homepage: http://pytorch.org/ Description: Facebook's Tensors and Dynamic neural networks (common documentation) PyTorch is a Python package that provides two high-level features: . * Tensor computation (like NumPy) with strong GPU acceleration * Deep neural networks built on a tape-based autograd system . You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. . This is the common documentation package. Package: python-torch-doc Architecture: all Version: 0.3.0+debian-1+Debian.stretch.9.3 Priority: optional Section: doc Source: pytorch (0.3.0+debian-1) Maintainer: Adam Cecile Installed-Size: 3053 Filename: pool-stretch/pytorch/pytorch/python-torch-doc_0.3.0+debian-1+Debian.stretch.9.3_all.deb Size: 1756702 MD5sum: b74c2ce84508e20c59761af61509f4a6 SHA1: e0a72533363c30b79c5cacfbcccd5e165bfedc32 SHA256: 90a2f8b739767c94047ae3c3c2dac7d8335107c2917ac847c4ca2fcf457d5d47 SHA512: 194b4a1437b9cb66c3f1e6a0f9a5d548cf9b3897021bbe25c2a80771169719ae06609a999f0ce2efcf4ef6387649dd885b21cdb522fcbec965eaca6066b9eac3 Homepage: http://pytorch.org/ Description: Facebook's Tensors and Dynamic neural networks (common documentation) PyTorch is a Python package that provides two high-level features: . * Tensor computation (like NumPy) with strong GPU acceleration * Deep neural networks built on a tape-based autograd system . You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. . This is the common documentation package. Package: python3-torch-avx-sse42 Architecture: amd64 Version: 0.2.0-1+Debian.stretch.9.1 Priority: optional Section: python Source: pytorch (0.2.0-1) Maintainer: Adam Cecile Installed-Size: 19550 Provides: python3-torch Depends: python3 (<< 3.6), python3 (>= 3.5~), python3-numpy, python3-yaml, python3:any (>= 3.4~), libc6 (>= 2.23), libgcc1 (>= 1:3.3.1), libgomp1 (>= 4.9), libopenmpi2, libstdc++6 (>= 5.2) Suggests: python-torch-doc Conflicts: python3-torch Replaces: python3-torch Filename: pool-stretch/pytorch/pytorch/python3-torch-avx-sse42_0.2.0-1+Debian.stretch.9.1_amd64.deb Size: 3066458 MD5sum: 514357c848453dff18539438d9547c25 SHA1: abd1237ca86926e61299f7912d646077cbcbf34a SHA256: d234db94802a8e485d6ae80163a535399b0a07e9e8fc45b415d6324726a94e08 SHA512: 17e1cb8f2e8ca5c6bc1931924e4fde607a895b8cabd62ffa703cfa4d8c6408b3954ed109f2ab0133c13b568b9601b7cb8a463707e232f561ef2c0003c8137ce2 Homepage: http://pytorch.org/ Description: Facebook's Tensors and Dynamic neural networks (Python 3) PyTorch is a Python package that provides two high-level features: . * Tensor computation (like NumPy) with strong GPU acceleration * Deep neural networks built on a tape-based autograd system . You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. . This package has been built with AVX1 and SSE4.2 CPU features. AVX2 and FMA have been built in too but gets skipped at runtime if your CPU does not support it. . This package installs the library for Python 3. Package: python3-torch-avx-sse42 Architecture: amd64 Version: 0.3.0+debian-1+Debian.stretch.9.3 Priority: optional Section: python Source: pytorch (0.3.0+debian-1) Maintainer: Adam Cecile Installed-Size: 23260 Provides: python3-torch Depends: python3 (<< 3.6), python3 (>= 3.5~), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-yaml, python3:any (>= 3.4~), libc6 (>= 2.23), libgcc1 (>= 1:3.3.1), libgomp1 (>= 4.9), libopenmpi2, libstdc++6 (>= 5.2) Suggests: python-torch-doc Conflicts: python3-torch Replaces: python3-torch Filename: pool-stretch/pytorch/pytorch/python3-torch-avx-sse42_0.3.0+debian-1+Debian.stretch.9.3_amd64.deb Size: 3706118 MD5sum: 5c7a6572dbdc61995a7e91d77a0ea6ea SHA1: bad3e70012f2f25afad2f7913e541e99580d9f7d SHA256: c314de2332fcbb9e474119f68a421e1ff123404c59d464ffceb8614091f96355 SHA512: 02965ed8016c1d7bf1467c0dd06e607429e869ac9bdcbb15aea6cb1347ff3e21cf0e7e44fa72310fb90942eec201886331edec26761a0fb5cb324bb36c65db1d Homepage: http://pytorch.org/ Description: Facebook's Tensors and Dynamic neural networks (Python 3) PyTorch is a Python package that provides two high-level features: . * Tensor computation (like NumPy) with strong GPU acceleration * Deep neural networks built on a tape-based autograd system . You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. . This package has been built with AVX1 and SSE4.2 CPU features. AVX2 and FMA have been built in too but gets skipped at runtime if your CPU does not support it. . This package installs the library for Python 3. Package: python3-torch-cuda-avx-sse42 Architecture: amd64 Version: 0.2.0-1+Debian.stretch.9.1 Priority: optional Section: python Source: pytorch (0.2.0-1) Maintainer: Adam Cecile Installed-Size: 1275219 Provides: python3-torch Depends: python3 (<< 3.6), python3 (>= 3.5~), python3-numpy, python3-yaml, python3:any (>= 3.4~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcudart8.0 (>= 6.0), libcudnn6 (= 6.0.21-1+cuda8.0), libcurand8.0 (>= 3.2), libcusparse8.0 (>= 7.0), libgcc1 (>= 1:3.3.1), libgomp1 (>= 4.9), libnccl1, libnvtoolsext1 (>= 5.0), libopenmpi2, libstdc++6 (>= 4.9) Suggests: python-torch-doc Conflicts: python3-torch Replaces: python3-torch Filename: pool-stretch/pytorch/pytorch/python3-torch-cuda-avx-sse42_0.2.0-1+Debian.stretch.9.1_amd64.deb Size: 79532780 MD5sum: 89101104af2ce6486520089188ab8c8a SHA1: 230417cf907f613f065824c4bb1c7c1c867aa80c SHA256: abbbcdf7bc1d6fd417380d825162ef3f84a2d474222bbd0a53993ef55efdb524 SHA512: 5cf31fd1008dc358094465dcc14e864dd2c4a4d869514808c924dd395912e4c61cd43e8ae1327aa70aec29773010cc2bae87bfa29263eb8a5d89d2cecd88120d Homepage: http://pytorch.org/ Description: Facebook's Tensors and Dynamic neural networks (Python 3) PyTorch is a Python package that provides two high-level features: . * Tensor computation (like NumPy) with strong GPU acceleration * Deep neural networks built on a tape-based autograd system . You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. . This package has been built with AVX1 and SSE4.2 CPU features. AVX2 and FMA have been built in too but gets skipped at runtime if your CPU does not support it. . This package has been built with nvidia CUDA support. . This package installs the library for Python 3. Package: python3-torch-cuda-avx-sse42 Architecture: amd64 Version: 0.3.0+debian-1+Debian.stretch.9.3 Priority: optional Section: python Source: pytorch (0.3.0+debian-1) Maintainer: Adam Cecile Installed-Size: 1323638 Provides: python3-torch Depends: python3 (<< 3.6), python3 (>= 3.5~), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-yaml, python3:any (>= 3.4~), libc6 (>= 2.23), libcublas8.0 (>= 8.0), libcuda1 (>= 169), libcudart8.0 (>= 7.0), libcudnn6 (= 6.0.21-1+cuda8.0), libcurand8.0 (>= 3.2), libcusparse8.0 (>= 7.0), libgcc1 (>= 1:3.3.1), libgomp1 (>= 4.9), libnccl1, libnvrtc8.0 (>= 7.0), libnvtoolsext1 (>= 5.0), libopenmpi2, libstdc++6 (>= 4.9) Suggests: python-torch-doc Conflicts: python3-torch Replaces: python3-torch Filename: pool-stretch/pytorch/pytorch/python3-torch-cuda-avx-sse42_0.3.0+debian-1+Debian.stretch.9.3_amd64.deb Size: 95164542 MD5sum: d8c2956f97260c839407e20ed89ae5e8 SHA1: 092708c6d302ab6a678c85ec60111f63d1be1657 SHA256: 82110fec3c0930889acd51b6d7e6526d5f82ea5713991dcb61440e3458c2ec65 SHA512: 833eeedf2fcc8faf44d0c1a5cae2a0e891a0e9dd79eb319eb1608577d01ab1607bf557cf63bd2149e687d5fdcc79c133dfefb9a66c3233c3eeb11ba4e636e466 Homepage: http://pytorch.org/ Description: Facebook's Tensors and Dynamic neural networks (Python 3) PyTorch is a Python package that provides two high-level features: . * Tensor computation (like NumPy) with strong GPU acceleration * Deep neural networks built on a tape-based autograd system . You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. . This package has been built with AVX1 and SSE4.2 CPU features. AVX2 and FMA have been built in too but gets skipped at runtime if your CPU does not support it. . This package has been built with nvidia CUDA support. . This package installs the library for Python 3. Package: python-torchvision Architecture: all Version: 0.1.9-1+Debian.stretch.9.1 Priority: optional Section: python Source: torchvision (0.1.9-1) Maintainer: Adam Cecile Installed-Size: 151 Depends: python:any (<< 2.8), python:any (>= 2.7.5-5~), python-numpy, python-pil, python-six Recommends: python-torch Filename: pool-stretch/pytorch/torchvision/python-torchvision_0.1.9-1+Debian.stretch.9.1_all.deb Size: 31352 MD5sum: feb8b2990319c959c18007224f052325 SHA1: 912fd08ebc34f664b3b718cd9a306a2f787b5bae SHA256: 372920849321a99cfb27edc411622048c53414f76d29fd9286c9cf44fe866ec3 SHA512: 793076180ebd8d37acfd5cb88246856e15ceeec7300dfcddcc36cdf9556ef627a1758c998ca5c73ca5d4a1cd114f571720d8e27ff749dba3a479be964889ba8d Homepage: https://github.com/pytorch/vision/ Description: Image and video datasets and models for torch deep learning (Python 2) The torchvision package consists of popular datasets, model architectures, and common image transformations for computer vision. . This package installs the library for Python 2. Package: python3-torchvision Architecture: all Version: 0.1.9-1+Debian.stretch.9.1 Priority: optional Section: python Source: torchvision (0.1.9-1) Maintainer: Adam Cecile Installed-Size: 151 Depends: python3:any (>= 3.4~), python3-numpy, python3-pil, python3-six Recommends: python3-torch Filename: pool-stretch/pytorch/torchvision/python3-torchvision_0.1.9-1+Debian.stretch.9.1_all.deb Size: 31430 MD5sum: 1287a082ddf1b22d7594edfc78965d12 SHA1: 68766fcdcd8fe31a8b1de1eee105bec0c457fb05 SHA256: 91e8f667ae4f5e2a04d41b6824fbfd95b55a4a62ccda687d7acbd3f058dee54a SHA512: 4e3084f668131ddb2fa37d88f27955c0e6eff7852cacd06bcbb17a37a4c5aea50bcff2b428df9d04b42ea181436e9153b62c79eb9a6e88afe04e5d6e394942a5 Homepage: https://github.com/pytorch/vision/ Description: Image and video datasets and models for torch deep learning (Python 3) The torchvision package consists of popular datasets, model architectures, and common image transformations for computer vision. . This package installs the library for Python 3. Package: libshark-dev Architecture: amd64 Version: 3.1.4+ds1-1.1+Debian.stretch.9.9 Multi-Arch: same Priority: optional Section: libdevel Source: shark (3.1.4+ds1-1.1) Maintainer: Debian Science Maintainers Installed-Size: 3502 Depends: libblas-dev | libblas.so, libboost-dev, libhdf5-dev, libshark0 (= 3.1.4+ds1-1.1+Debian.stretch.9.9) Suggests: shark-doc Filename: pool-stretch/shark/libshark-dev_3.1.4+ds1-1.1+Debian.stretch.9.9_amd64.deb Size: 454352 MD5sum: d64e349be5f25a2d74c811d70b68311a SHA1: 01441dcc72eb68544ae08f319ede5f385d8ac42b SHA256: 038a333869f54d543919dcaf7ae1f5d8f44f6e12350fe50538779f520cda2bf7 SHA512: 0c8c47444df87c72a0040c234c20fcd3baa90b14cf402d96783724fffe8658d6dd4e2199b0ce135c5a3ec35f179ffbc94edd46f115a5954cba2958349bd5975a Homepage: http://image.diku.dk/shark Description: development files for Shark Shark is a modular C++ library for the design and optimization of adaptive systems. It provides methods for linear and nonlinear optimization, in particular evolutionary and gradient-based algorithms, kernel-based learning algorithms and neural networks, and various other machine learning techniques. . This package provides the development files. Package: libshark0-dbgsym Architecture: amd64 Version: 3.1.4+ds1-1.1+Debian.stretch.9.9 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: extra Section: debug Source: shark (3.1.4+ds1-1.1) Maintainer: Debian Science Maintainers Installed-Size: 12955 Depends: libshark0 (= 3.1.4+ds1-1.1+Debian.stretch.9.9) Filename: pool-stretch/shark/libshark0-dbgsym_3.1.4+ds1-1.1+Debian.stretch.9.9_amd64.deb Size: 12114252 MD5sum: 670917b1d6df082ebb68b9aab6c18a00 SHA1: 7ab16abe743a66006396dabc7b567bb12bdfa699 SHA256: 77c9765b2d2cf1620c12c2149f05029308cf9f60345e9efaa4e36436f0450e20 SHA512: 7c44a7c58913197d7a047906e75d0ba686dc11d9b569f90e8f2e8e2cc902ad23c1c8bd1a34a79aff90a8ec7e8b7f094500b0be230eb97cb6c10626b045fc48e7 Homepage: http://image.diku.dk/shark Description: Debug symbols for libshark0 Build-Ids: 6962930b5f22853dcb49c316f8155ca5d7762743 Package: libshark0 Architecture: amd64 Version: 3.1.4+ds1-1.1+Debian.stretch.9.9 Multi-Arch: same Priority: optional Section: libs Source: shark (3.1.4+ds1-1.1) Maintainer: Debian Science Maintainers Installed-Size: 3336 Depends: libblas3 | libblas.so.3, libboost-serialization1.62.0, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libstdc++6 (>= 5.2) Filename: pool-stretch/shark/libshark0_3.1.4+ds1-1.1+Debian.stretch.9.9_amd64.deb Size: 620358 MD5sum: d781f57925b1d64df4b6007aa39e29e2 SHA1: 9b4db15a9b17f577fe3801efb20ee786c98be337 SHA256: 34d6b731d61c8d896b930023c5df3e2c5b2690e237033686d556c2091a4956f1 SHA512: da355de9cb3ea63c1112ad1e496258fb224de16e5082eb5369d738ea9e0ef5a9ad009c9421b87518451e87aeeed05b2c90227fd1998977f8f62d02e32f3e5561 Homepage: http://image.diku.dk/shark Description: Shark machine learning library Shark is a modular C++ library for the design and optimization of adaptive systems. It provides methods for linear and nonlinear optimization, in particular evolutionary and gradient-based algorithms, kernel-based learning algorithms and neural networks, and various other machine learning techniques. . This package provides the shared libraries. Package: shark-doc Architecture: all Version: 3.1.4+ds1-1.1+Debian.stretch.9.9 Built-Using: sphinx (= 1.4.9-2) Multi-Arch: foreign Priority: optional Section: doc Source: shark (3.1.4+ds1-1.1) Maintainer: Debian Science Maintainers Installed-Size: 101553 Depends: libjs-sphinxdoc (>= 1.0), libjs-mathjax Filename: pool-stretch/shark/shark-doc_3.1.4+ds1-1.1+Debian.stretch.9.9_all.deb Size: 20965528 MD5sum: 5dfc20511a9eb6404c0a1b70de10e992 SHA1: 3b3587900090c5932b6a8a451a14eb9eb2b7588b SHA256: 0ba0c54d50ca21111a2d8c8c6c5b71105c23be8c1632beb03450d14d65d88d7b SHA512: a2ada5c1fd09cbd9648aa434ded4a25f5290c5b02d5677f0a628a73705065d893e0a898c8715dcfb1678d8b40074a9fe528fef424f9ab4ff7073d8a45e8826b8 Homepage: http://image.diku.dk/shark Description: documentation for Shark Shark is a modular C++ library for the design and optimization of adaptive systems. It provides methods for linear and nonlinear optimization, in particular evolutionary and gradient-based algorithms, kernel-based learning algorithms and neural networks, and various other machine learning techniques. . This package provides the documentation. Package: python-sortedcollections-doc Architecture: all Version: 1.0.1-1~bpo+Debian.stretch.9.9 Priority: optional Section: doc Source: sortedcollections (1.0.1-1~bpo) Maintainer: Debian Python Modules Team Installed-Size: 266 Depends: libjs-sphinxdoc (>= 1.0) Filename: pool-stretch/sortedcollections/python-sortedcollections-doc_1.0.1-1~bpo+Debian.stretch.9.9_all.deb Size: 122062 MD5sum: f21323c356369935ea6a239fb3bf0659 SHA1: 374bf8442009430fdbcddba2667ef23e71645eaa SHA256: 3ba050ed6ef0d635b601cf18a0f0f07448b604ec73815c9975fba1287077c2d9 SHA512: 82970c415d4bcb8919b9a164391198c93d660b9bbad3fc444fb4d703a8b132edc5d556d7d82585a3314c390e5c67963aa6431e1308953533766bb523e6770506 Homepage: http://www.grantjenks.com/docs/sortedcollections/ Description: Python documentation for Sorted Collections SortedCollections is an Apache2 licensed Python sorted collections library. . Features -------- . - Pure-Python - Depends on the SortedContainers module. - ValueSortedDict - Dictionary with (key, value) item pairs sorted by value. - ItemSortedDict - Dictionary with key-function support for item pairs. - OrderedDict - Ordered dictionary with numeric indexing support. - OrderedSet - Ordered set with numeric indexing support. - IndexableDict - Dictionary with numeric indexing support. - IndexableSet - Set with numeric indexing support. . This contains the documentation. Package: python3-sortedcollections Architecture: all Version: 1.0.1-1~bpo+Debian.stretch.9.9 Priority: optional Section: python Source: sortedcollections (1.0.1-1~bpo) Maintainer: Debian Python Modules Team Installed-Size: 43 Depends: python3-sortedcontainers, python3:any (>= 3.3.2-2~) Filename: pool-stretch/sortedcollections/python3-sortedcollections_1.0.1-1~bpo+Debian.stretch.9.9_all.deb Size: 9494 MD5sum: 8306c8ad5867eabf062148d9e73e312c SHA1: 24641d59f32910ecf7db16b32863e30f6ab201e2 SHA256: 910ef043931ef38dd6629e8462c321de23c9676fc3021af8f9cdffb454711888 SHA512: c23e7f83b4f27e873ba8d68aff1e4733ceec31f8e23fcfff30373f3c7b92f781028e665081f2f0fef89ec45209343a7bddb921d730f3051932374b25066f5377 Homepage: http://www.grantjenks.com/docs/sortedcollections/ Description: Python 3 Sorted Collections SortedCollections is an Apache2 licensed Python sorted collections library. . Features -------- . - Pure-Python - Depends on the SortedContainers module. - ValueSortedDict - Dictionary with (key, value) item pairs sorted by value. - ItemSortedDict - Dictionary with key-function support for item pairs. - OrderedDict - Ordered dictionary with numeric indexing support. - OrderedSet - Ordered set with numeric indexing support. - IndexableDict - Dictionary with numeric indexing support. - IndexableSet - Set with numeric indexing support. . This contains the Python 3 module Package: python-sortedcontainers-doc Architecture: all Version: 2.1.0-1~bpo+Debian.stretch.9.9 Built-Using: alabaster (= 0.7.8-1), sphinx (= 1.4.9-2) Multi-Arch: foreign Priority: optional Section: doc Source: sortedcontainers (2.1.0-1~bpo) Maintainer: Debian Python Modules Team Installed-Size: 20509 Depends: libjs-sphinxdoc (>= 1.0) Filename: pool-stretch/sortedcontainers/python-sortedcontainers-doc_2.1.0-1~bpo+Debian.stretch.9.9_all.deb Size: 15948518 MD5sum: ce3335be1e12adedfca4ffc4650f9544 SHA1: 4332d32a30e7cd18b53bb5429473622bc04ad111 SHA256: a8087edac85cb34c30eaac928bd74c862df080cb84d9b1eb68a11f00aa447bd8 SHA512: 52da1b6082a3cdc0b609638b97c03ec2afad530af59c073f74a2e3cf4ce8417d3f2d27e87fa278d767b4183612314b0b684f5f48b579504770236b66d26e2d92 Homepage: http://www.grantjenks.com/docs/sortedcontainers/ Description: sorted container types: SortedList, SortedDict, and SortedSet (documentation) Python’s standard library is great until you need a sorted container type. Many will attest that you can get really far without one, but the moment you really need a sorted list, dict, or set, you’re faced with a dozen different implementations, most using C-extensions without great documentation and benchmarking. . This package contains the documentation for sortedcontainers Python module. Package: python-sortedcontainers Architecture: all Version: 2.1.0-1~bpo+Debian.stretch.9.9 Multi-Arch: foreign Priority: optional Section: python Source: sortedcontainers (2.1.0-1~bpo) Maintainer: Debian Python Modules Team Installed-Size: 155 Provides: python2.7-sortedcontainers Depends: python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-sortedcontainers-doc Filename: pool-stretch/sortedcontainers/python-sortedcontainers_2.1.0-1~bpo+Debian.stretch.9.9_all.deb Size: 28298 MD5sum: bc6ea9407b4c0e1beee67a1c0aeb9ef5 SHA1: 37eddde5e59e4fae2c8302d1191ed07b79646eac SHA256: d54ba70290ec05499b422c3ab9bd968fc98e74ea1511382e9882e40b8b58fbc1 SHA512: b2b08b0d35fcd77057e7740960f4188102efccfee7347f1c851e460724f08a0adf02f745b4dec92eb5356c6591a6a07a18c322a5ef35988db30b4fdde9e5ef1b Homepage: http://www.grantjenks.com/docs/sortedcontainers/ Description: sorted container types: SortedList, SortedDict, and SortedSet (Python 2) Python’s standard library is great until you need a sorted container type. Many will attest that you can get really far without one, but the moment you really need a sorted list, dict, or set, you’re faced with a dozen different implementations, most using C-extensions without great documentation and benchmarking. . This package contains the Python 2 version of sortedcontainers. Package: python3-sortedcontainers Architecture: all Version: 2.1.0-1~bpo+Debian.stretch.9.9 Multi-Arch: foreign Priority: optional Section: python Source: sortedcontainers (2.1.0-1~bpo) Maintainer: Debian Python Modules Team Installed-Size: 155 Depends: python3:any (>= 3.3.2-2~) Suggests: python-sortedcontainers-doc Filename: pool-stretch/sortedcontainers/python3-sortedcontainers_2.1.0-1~bpo+Debian.stretch.9.9_all.deb Size: 28376 MD5sum: af962e2af8bae6ecd509bae042d86cf0 SHA1: a7854bb71c5c7d51484066a45105e94dff1309ae SHA256: 95f1b6b54d0a80024fe68769aa44a6c4f6ce6d748ce8c125a0f313a2d07fd908 SHA512: a745d66b3df0f69c1d4f61be8ad186019e733c29642cb84b7a9786905430985b9e4367f12789f4f6a6c604eb2969a5c7b1ea1aeee13057a9131b4d593539ea0d Homepage: http://www.grantjenks.com/docs/sortedcontainers/ Description: sorted container types: SortedList, SortedDict, and SortedSet (Python 3) Python’s standard library is great until you need a sorted container type. Many will attest that you can get really far without one, but the moment you really need a sorted list, dict, or set, you’re faced with a dozen different implementations, most using C-extensions without great documentation and benchmarking. . This package contains the Python 3 version of sortedcontainers. Package: python-cvxopt-dbgsym Architecture: amd64 Version: 1.1.9+dfsg-2~bpo9+1 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: cvxopt Maintainer: Debian Science Team Installed-Size: 440 Depends: python-cvxopt (= 1.1.9+dfsg-2~bpo9+1) Filename: pool-stretch/statsmodel/cvxopt/python-cvxopt-dbgsym_1.1.9+dfsg-2~bpo9+1_amd64.deb Size: 347094 MD5sum: 4b928722aa91e29ded660fe6a501dc90 SHA1: 4c3635f3f038071d7e877ed966e0d52d4976befe SHA256: fbc00b36b75120436c0cc4b911e9645832a75da206adb0d1bae02510a51ba624 SHA512: 826c4f20b5009693d8cb29122e91845e616a287bbc49f883fc27ae65b94f4aafcab51fe2fe5214929db47fa36b2e4cf5bcf3448aab3d46d4d0799e936601375b Homepage: http://cvxopt.org/ Description: Debug symbols for python-cvxopt Build-Ids: 1bf0bf5d77dbcd8c0ea2daf9a72e159791bf6279 224015ac1af55026698f555f76b53aed2e2052af 379dec2d086a04bebc80e1c65e99925de6220185 8f3d373e9b445085a367370b15bde2ddc47c1105 914362384cc2ed52d2e3097c50967fed7d4534cb 96814ba825c13fcb0e47b9026f2e6df72f138ddc a7cdca7e075c06dd8cffa565788c626b9df223a3 c5a96112698ffafcd480f8365dfa28c1277072f7 cf5dfc3cced74c63f2b29e1888ee42cd85142b07 e6a5ca68fbbfef9fca7c755348be34f29a8a0925 ecdf5e64f4bbeb26ec0b4c0a5cdd41af1ae65429 Package: python-cvxopt-doc Architecture: all Version: 1.1.9+dfsg-2~bpo9+1 Priority: optional Section: doc Source: cvxopt Maintainer: Debian Science Team Installed-Size: 2110 Depends: libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common, libjs-mathjax Breaks: python-cvxopt (<< 1.1.8) Replaces: python-cvxopt (<< 1.1.8) Filename: pool-stretch/statsmodel/cvxopt/python-cvxopt-doc_1.1.9+dfsg-2~bpo9+1_all.deb Size: 994712 MD5sum: 6eff6289b0062d693f962ceadb46df99 SHA1: e129e542254a8e3cfa55a7293fe2087faa378e96 SHA256: 5663d01970de3af21b705b4f630c5dd3fe197f3a8a67973de9a991449957069f SHA512: f538f19e7f51e8b007e1ad335a4ec85abc4fa39b7591bfbacfb5c47b6aa3fd4b251a2839491d67ce05f20a181ccd633971ffdccf4f42e0bdcd252b7792b452a4 Homepage: http://cvxopt.org/ Description: Python package for convex optimization (documentation) CVXOPT is a Python package for convex optimization. It includes * Python classes for storing and manipulating dense and sparse matrices * an interface to most of the double-precision real and complex BLAS * an interface to the dense linear equation solvers and eigenvalue routines from LAPACK * interfaces to the sparse LU and Cholesky solvers from UMFPACK and CHOLMOD. * routines for solving convex optimization problems, an interface to the linear programming solver in GLPK, and interfaces to the linear and quadratic programming solvers in MOSEK * a modeling tool for specifying convex piecewise-linear optimization problems. . This package contains the documentation of the Python module. Package: python-cvxopt Architecture: amd64 Version: 1.1.9+dfsg-2~bpo9+1 Priority: optional Section: python Source: cvxopt Maintainer: Debian Science Team Installed-Size: 1198 Provides: python2.7-cvxopt Depends: libamd2 (>= 4.5.2), libblas3 | libblas.so.3, libc6 (>= 2.14), libcholmod3 (>= 4.5.2), libcolamd2 (>= 4.5.2), libdsdp-5.8gf, libfftw3-double3 (>= 3.3.5), libglpk40 (>= 4.59), libgsl2, liblapack3 | liblapack.so.3, libsuitesparseconfig4 (>= 4.5.2), libumfpack5 (>= 4.5.2), python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-cvxopt-doc Filename: pool-stretch/statsmodel/cvxopt/python-cvxopt_1.1.9+dfsg-2~bpo9+1_amd64.deb Size: 257410 MD5sum: a9629f2a09149f55762136a3eb2c03dd SHA1: 96346a46f4f466dd6124bf59a5a55a54411b0989 SHA256: 829c21e244a0709b49ca4fdf444cb58a3b69f0eb3c3d4e427df2085a7217c300 SHA512: 39a28da33d40c6f0b3ba59c6d88b2c3e0321e41e72089c87bc42bc89e3400c9a7805451702cb5a446a66a8195d1514a1372f3759408f99b2ed62996a93d92dc1 Homepage: http://cvxopt.org/ Description: Python package for convex optimization CVXOPT is a Python package for convex optimization. It includes * Python classes for storing and manipulating dense and sparse matrices * an interface to most of the double-precision real and complex BLAS * an interface to the dense linear equation solvers and eigenvalue routines from LAPACK * interfaces to the sparse LU and Cholesky solvers from UMFPACK and CHOLMOD. * routines for solving convex optimization problems, an interface to the linear programming solver in GLPK, and interfaces to the linear and quadratic programming solvers in MOSEK * a modeling tool for specifying convex piecewise-linear optimization problems. . This package contains the Python 2 module. Package: python3-cvxopt-dbgsym Architecture: amd64 Version: 1.1.9+dfsg-2~bpo9+1 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: cvxopt Maintainer: Debian Science Team Installed-Size: 460 Depends: python3-cvxopt (= 1.1.9+dfsg-2~bpo9+1) Filename: pool-stretch/statsmodel/cvxopt/python3-cvxopt-dbgsym_1.1.9+dfsg-2~bpo9+1_amd64.deb Size: 367236 MD5sum: e02c4faac7e3ccfd1ea6292846ed4bd6 SHA1: 1d7c12c5c695a94fe600ed7ef49fd07d32f834ae SHA256: 625a1c61cbdeef74a1ed69a8c65439ca2a3a0bbcd9cf0cbd2513cd410e07e3a2 SHA512: 22e9b9f2f4b18a963cddd226cc50b6a858fd4aa678a289903fbb1faea2ea8997aea0604b15b6df74b9364a0011dae17db31c48e4603d6abd6ef9c6d4cb1ffaa9 Homepage: http://cvxopt.org/ Description: Debug symbols for python3-cvxopt Build-Ids: 0750cb045ab1deb123cd7ce0226efb012a513e4e 0a1b5a78ae9f2c1967904926c08adde23fdc95e9 27dfb079dbe0b9c508d47e3a007a6f59a9a3240b 4773fbe18d983a02a31be2a19ab29010e984dc28 5337e277c44054a27fed363416a881ddbd41793f 56b0ebbcb4266e6b9f0b9b3cf0bb6cd73c270aa0 6b3c20704b88a95174a13faf809fde2102161176 8402699b2d0d8e035734644beebf55d02599786a dbe697d13b71ddbca3082004581f87b1256c947b dc494ca73678696e5705dfe2efcdcc118e43f25e efc5d40ecb8899247ef4109f347e0a5a1104584d Package: python3-cvxopt Architecture: amd64 Version: 1.1.9+dfsg-2~bpo9+1 Priority: optional Section: python Source: cvxopt Maintainer: Debian Science Team Installed-Size: 1211 Depends: libamd2 (>= 4.5.2), libblas3 | libblas.so.3, libc6 (>= 2.14), libcholmod3 (>= 4.5.2), libcolamd2 (>= 4.5.2), libdsdp-5.8gf, libfftw3-double3 (>= 3.3.5), libglpk40 (>= 4.59), libgsl2, liblapack3 | liblapack.so.3, libsuitesparseconfig4 (>= 4.5.2), libumfpack5 (>= 4.5.2), python3 (<< 3.6), python3 (>= 3.5~), python3:any (>= 3.3.2-2~) Suggests: python-cvxopt-doc Filename: pool-stretch/statsmodel/cvxopt/python3-cvxopt_1.1.9+dfsg-2~bpo9+1_amd64.deb Size: 259110 MD5sum: 09909bae668610e1a901542ff345901c SHA1: 7f1249177f07db571ffb972d3ff4319e1fef5e5d SHA256: 69424d037d808978f31d6d5492f03621d38394166246089264f437a60ba91273 SHA512: 70cbb6a216d070daf29cf1673d69fdd27e5db10384dc7503d4c921611140a114b9ab1452862d26376052596073827aa726371949b79546a9870a967f28c6c437 Homepage: http://cvxopt.org/ Description: Python3 package for convex optimization CVXOPT is a Python package for convex optimization. It includes * Python classes for storing and manipulating dense and sparse matrices * an interface to most of the double-precision real and complex BLAS * an interface to the dense linear equation solvers and eigenvalue routines from LAPACK * interfaces to the sparse LU and Cholesky solvers from UMFPACK and CHOLMOD. * routines for solving convex optimization problems, an interface to the linear programming solver in GLPK, and interfaces to the linear and quadratic programming solvers in MOSEK * a modeling tool for specifying convex piecewise-linear optimization problems. . This package contains the Python 3 module. Package: python-statsmodels-doc Architecture: all Version: 0.9.0-0+Debian.stretch.9.6 Priority: optional Section: doc Source: statsmodels (0.9.0-0) Maintainer: Debian Science Maintainers Installed-Size: 79150 Depends: libjs-requirejs, libjs-sphinxdoc (>= 1.0) Recommends: libjs-mathjax Suggests: python-statsmodels, python3-doc, python-numpy-doc, python-patsy-doc, python-pandas-doc, python-scipy-doc Breaks: python-scikits-statsmodels-doc, python-scikits.statsmodels-doc Replaces: python-scikits-statsmodels-doc, python-scikits.statsmodels-doc Filename: pool-stretch/statsmodel/statsmodel/python-statsmodels-doc_0.9.0-0+Debian.stretch.9.6_all.deb Size: 12684176 MD5sum: 222696023de3cb3f2c5a183d0d599843 SHA1: bcb02314c38f3ebfd85cd1ea60d871a9b74859fd SHA256: 01c8819a903ff6c80f8c7de79d425253e3dfd32bf9407d796db9397b1e9cabce SHA512: 796f5292414ccd38be6db57c4bdee1bcbc35c57cb81427f5ac8dc326f40208b950d88687ea05bf3c336cceb01dd38507d0aef8222b5fdc3b0f1507c00196a1ce Homepage: http://statsmodels.sourceforge.net/ Description: documentation and examples for statsmodels This package contains HTML documentation and example scripts for python-statsmodels. Package: python-statsmodels-lib-dbgsym Architecture: amd64 Version: 0.8.0-6~bpo9+1 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: statsmodels Maintainer: Debian Science Maintainers Installed-Size: 1393 Depends: python-statsmodels-lib (= 0.8.0-6~bpo9+1) Filename: pool-stretch/statsmodel/statsmodel/python-statsmodels-lib-dbgsym_0.8.0-6~bpo9+1_amd64.deb Size: 1194700 MD5sum: 9dd11811337ec1ffdb488d233326a48e SHA1: a7795b471b46773d3e87263fb327fe6b25aa3cc9 SHA256: cb98653900b1e1f45ce738b7c2439a5d1eb51f2c1ce511de9a649bb63aaa6350 SHA512: 3b294ca38b0e43d8e4dd3b2c996dd12ab814013622c0ca90c7a31cfc752ccc40bdf84cae25cb10a19df9f89ec665d0a923c9cd3034aae1b0a702b5dffc18cf20 Homepage: http://statsmodels.sourceforge.net/ Description: Debug symbols for python-statsmodels-lib Build-Ids: 03ed3db49e96ceb27e5283b800f7e01c72eceb5c 32c25a1e08a9f57d6eb32df6e4ad597c31f58edf 74b6125e45b4a3e646933dd66606fcd71db8da18 9da72e903216f95eafc386a59bcc71f30e8c321b cd3a7e6965327fdb4feff112b2b857db19a3f4d6 Package: python-statsmodels-lib-dbgsym Architecture: amd64 Version: 0.9.0-0+Debian.stretch.9.6 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: statsmodels (0.9.0-0) Maintainer: Debian Science Maintainers Installed-Size: 5632 Depends: python-statsmodels-lib (= 0.9.0-0+Debian.stretch.9.6) Filename: pool-stretch/statsmodel/statsmodel/python-statsmodels-lib-dbgsym_0.9.0-0+Debian.stretch.9.6_amd64.deb Size: 4811890 MD5sum: bfe642c88b7f46a7d43ee95ebddfb26b SHA1: 85c179e90dd8f9db8f42ace7c6f6178c42e7731c SHA256: 88b36b14c1b15ea229dd3d9454dc48fd582fb70aa4aa3333f8439815298853df SHA512: fd20ff76397bf4a3381edeb013a706ab6d4579dd7c0a002cb8658a39cf4842348de6c4b6884ff72bf62a526b15ccb801258992116824ea03c38fa718529a572d Homepage: http://statsmodels.sourceforge.net/ Description: Debug symbols for python-statsmodels-lib Build-Ids: 0e37ace90554aee8f119e0ead78687313b952f38 34f72173a1aea5851766ba84952a9399f72e993a 39fe8e7722591fab33199aac71d3a5e9045f2578 430428e9e6999e1f3968774128a9f83f0947533a 676132d4ff6193861898998eae2a70e9e05f0041 702c0df110548ccca23e109d9cc019646f18142f 86497ae55e485067964ad77253d7269219dd3d5d 89263715be733313590739de49d26b8306e51da4 a0b6908fab920dd815c94202c714600778910ecf b2e171ab7614258cf806693acb89b37a6340674d d049ac4bdaa38afa38b1e1cc4e5911d055950b05 d555479b6044b776fd6dbe187e117ac2ae55f1b1 d6f224503df35ecb312bac1bd5f1bf64d2a97615 e1f36e3428c716996bbe7637eaa954f42bd66795 e58545c6a73cef0904c6c4ecd1667aeb4ddf0298 f36760e70910153aa80fc25ab5969d8afc174173 f83f8459132a97912e2b348e0c70ee228bab3b4f ffb2772f76ec9141d5c6e8321bff4137cec62e37 Package: python-statsmodels-lib Architecture: amd64 Version: 0.8.0-6~bpo9+1 Priority: optional Section: python Source: statsmodels Maintainer: Debian Science Maintainers Installed-Size: 1513 Depends: python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7~), libc6 (>= 2.14) Breaks: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Replaces: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Filename: pool-stretch/statsmodel/statsmodel/python-statsmodels-lib_0.8.0-6~bpo9+1_amd64.deb Size: 351122 MD5sum: 997b4573d21d3f53c34eb6de92ad9026 SHA1: 5480e947c6f336d74e3583e0eca7af8dfec64ad1 SHA256: 5108d09b777631ea86e962325de0175aa6d05d1844e9f3896e528f9fbabb411a SHA512: bb50bd3872eca1d0c99d601a24aba0b40ef17bad751901fe0071efa895329ed10e95c2a9b2f7ccd197201a5e0e2ecf9745747a6847942af1154cc3ccd9d5321a Homepage: http://statsmodels.sourceforge.net/ Description: low-level implementations and bindings for statsmodels This package contains architecture dependent extensions for python-statsmodels. Package: python-statsmodels-lib Architecture: amd64 Version: 0.9.0-0+Debian.stretch.9.6 Priority: optional Section: python Source: statsmodels (0.9.0-0) Maintainer: Debian Science Maintainers Installed-Size: 6123 Depends: python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7~), libc6 (>= 2.14) Breaks: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Replaces: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Filename: pool-stretch/statsmodel/statsmodel/python-statsmodels-lib_0.9.0-0+Debian.stretch.9.6_amd64.deb Size: 1144062 MD5sum: 8d996e95fda666b130eac507aaca4d8e SHA1: 54d66722be71637006367291d04ccb202c9f8b43 SHA256: 086e3e4f3d114988f676310e6410c96ed4f417ffffd7f5ab614e8d568b196fcb SHA512: 77d71ec12e743c13aea127172b16822daa6784752d18abb45dd22d5dee5d3d350961f86be4e047a646a163f905b3edd2064cff0a0753eccad1c2fd246146bc46 Homepage: http://statsmodels.sourceforge.net/ Description: low-level implementations and bindings for statsmodels This package contains architecture dependent extensions for python-statsmodels. Package: python-statsmodels Architecture: all Version: 0.8.0-6~bpo9+1 Priority: optional Section: python Source: statsmodels Maintainer: Debian Science Maintainers Installed-Size: 15921 Provides: python2.7-statsmodels Depends: python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-scipy, python-statsmodels-lib (>= 0.8.0-6~bpo9+1), python-patsy, python-pandas Recommends: python-matplotlib, python-joblib, python-cvxopt Suggests: python-statsmodels-doc Breaks: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Replaces: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Filename: pool-stretch/statsmodel/statsmodel/python-statsmodels_0.8.0-6~bpo9+1_all.deb Size: 3321602 MD5sum: 7a954c412674eb4939469ecf4fcf9cc0 SHA1: 3c67b07610b757caf84a98ccc9eccbe3ad26238f SHA256: 27dd07ab7ab9a5b20a3ba425109bbd1a30d9cab8402630c9adc437e3cb8f2074 SHA512: 40c59536931a10c4ddcb182600e33496c4dcd75375311171792958c7d596d795a4c7dd30b10d9fa1e6338a1bc05e83e45c86c1177410765211011278ad6edc43 Homepage: http://statsmodels.sourceforge.net/ Description: Python module for the estimation of statistical models statsmodels Python module provides classes and functions for the estimation of several categories of statistical models. These currently include linear regression models, OLS, GLS, WLS and GLS with AR(p) errors, generalized linear models for six distribution families and M-estimators for robust linear models. An extensive list of result statistics are available for each estimation problem. Package: python-statsmodels Architecture: all Version: 0.9.0-0+Debian.stretch.9.6 Priority: optional Section: python Source: statsmodels (0.9.0-0) Maintainer: Debian Science Maintainers Installed-Size: 21456 Provides: python2.7-statsmodels Depends: python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-scipy, python-statsmodels-lib (>= 0.9.0-0), python-patsy, python-pandas Recommends: python-matplotlib, python-joblib, python-cvxopt Suggests: python-statsmodels-doc Breaks: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Replaces: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Filename: pool-stretch/statsmodel/statsmodel/python-statsmodels_0.9.0-0+Debian.stretch.9.6_all.deb Size: 6605450 MD5sum: 802af163a8db6457704e04651c4de00a SHA1: b113f037a22cc33b0a062a6fd1d03b9a1d0fff69 SHA256: dc954a552355935807c186730fad5ef9c87d16e09311cf6491e58eda588a6356 SHA512: ca5a7d8455d3fec69ac0bac9c6f1cc637913631868119dc3448cdfe68785c1640e973a61d04f59442034b76633d6b2feab57e3dc7f5a483be13198c165ad8ac0 Homepage: http://statsmodels.sourceforge.net/ Description: Python module for the estimation of statistical models statsmodels Python module provides classes and functions for the estimation of several categories of statistical models. These currently include linear regression models, OLS, GLS, WLS and GLS with AR(p) errors, generalized linear models for six distribution families and M-estimators for robust linear models. An extensive list of result statistics are available for each estimation problem. Package: python3-statsmodels-lib-dbgsym Architecture: amd64 Version: 0.8.0-6~bpo9+1 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: statsmodels Maintainer: Debian Science Maintainers Installed-Size: 1440 Depends: python3-statsmodels-lib (= 0.8.0-6~bpo9+1) Filename: pool-stretch/statsmodel/statsmodel/python3-statsmodels-lib-dbgsym_0.8.0-6~bpo9+1_amd64.deb Size: 1247660 MD5sum: 5017a795633327ceea84671817aa2633 SHA1: 8c39f8823136579a86f52951ccc438cbb034e167 SHA256: 89288aa9f22f1af82e8680f042702f18b2ae14baa956b1e0eb6f78cb8e0b0819 SHA512: c27759ea769c81f777cda92231d73c435702ba55223454ac3f06305866520169ccc6bb040c3acad4d163f9f60efbb03293fb12f95c1370a199f73d6ec3aef083 Homepage: http://statsmodels.sourceforge.net/ Description: Debug symbols for python3-statsmodels-lib Build-Ids: 643483c4d2213fa5c788c5ab46c270ff6f5b11cb 85a7472aeaf569270a8c82b50ec69066f54eb195 a6421c164d17501f5188035c0ec6929b3ab6bbd0 ae255da0b9e1a508f7b0b2a1d8e4e002446702db eb7aa9f6251fc5187b80afca7a33cfd6e1c89776 Package: python3-statsmodels-lib-dbgsym Architecture: amd64 Version: 0.9.0-0+Debian.stretch.9.6 Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: statsmodels (0.9.0-0) Maintainer: Debian Science Maintainers Installed-Size: 5918 Depends: python3-statsmodels-lib (= 0.9.0-0+Debian.stretch.9.6) Filename: pool-stretch/statsmodel/statsmodel/python3-statsmodels-lib-dbgsym_0.9.0-0+Debian.stretch.9.6_amd64.deb Size: 5121734 MD5sum: 2d33c20c031702741b1191ca8e66320b SHA1: 109cbb8ab1fbe8c6b6e49cf1cea19e5df2ff92b5 SHA256: 532f564d12d8b2d717834ec767182b91aa969cb1218c95f33cc0d700b2c0dee4 SHA512: e38b1026d7d2955012ea188891027aa98cfe1b8b7aa8da433e463a536b43a73be3d7f8f76252f66227712a04812ef464b374a1d5e0e3cff477561d44ca7ae415 Homepage: http://statsmodels.sourceforge.net/ Description: Debug symbols for python3-statsmodels-lib Build-Ids: 14dabfa5c3056c400905e29e612732da5bd00f2b 1a460cc5792d76243f98c6a49276ef488b0abc38 245a143ce995cb1b52e1cac93be9704a7cdcc2d2 3fb474ba9421a32f54659f2c83ae949045f51d48 41f8543623bd8b2fcf582c98b8f6344e956d74c2 5a2128193f2a80e37c532c690ab96c6914761545 5ec39e665af1cd34d6f1e4dd388b7a380862af40 809ea9b98b29daff5c6b493cc2d6c72b34db7ef4 9537ebbb248cbf253535e9bf2ac4120dfcc761ef 9dc839a56be449055565776a7f82349b7292c8e6 a6346c754a36b9a403d3f7dac42080f464a68ba8 aa609ec4f03f221c28d8daab0004d2185ddb3124 b736feeeb722d04a537631930f42a8d3e8656384 d36f83f216ad2896c602597734ad9a3ea57a7c5e d700b86e38208641ab27efba23783ab6b25abb92 d83a12b4454bcc073d779ccc60c0effc70a4e32a dc93d4f6adc7df531c7109267dc9fad6da34cfe5 f72d6be790093e250c0487901f344486f088828f Package: python3-statsmodels-lib Architecture: amd64 Version: 0.8.0-6~bpo9+1 Priority: optional Section: python Source: statsmodels Maintainer: Debian Science Maintainers Installed-Size: 1397 Depends: python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3 (<< 3.6), python3 (>= 3.5~), python3:any (>= 3.3~), libc6 (>= 2.14) Filename: pool-stretch/statsmodel/statsmodel/python3-statsmodels-lib_0.8.0-6~bpo9+1_amd64.deb Size: 326242 MD5sum: 1cb7a55fc14917a0030482384cb3bb3a SHA1: 3e7ff3435f98fca298ee1d02acc041d5a1ba842a SHA256: 98ec36cab278a79cba99392674870404fa6a938175cacd6d2bc3bd8c201de3c4 SHA512: 2f5a2b5c9d6dde0a02d221c09f0b0cfe59c7a9fef20436ce91c3482665b8c8d5dd099a43a57ec5e866beb4124677f03629ab317fb868f3242446dca02d47c149 Homepage: http://statsmodels.sourceforge.net/ Description: Python3 low-level implementations and bindings for statsmodels Statsmodels is a Python module for the estimation of statistical models . This package contains architecture dependent extensions for python3-statsmodels. Package: python3-statsmodels-lib Architecture: amd64 Version: 0.9.0-0+Debian.stretch.9.6 Priority: optional Section: python Source: statsmodels (0.9.0-0) Maintainer: Debian Science Maintainers Installed-Size: 5783 Depends: python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3 (<< 3.6), python3 (>= 3.5~), libc6 (>= 2.14) Filename: pool-stretch/statsmodel/statsmodel/python3-statsmodels-lib_0.9.0-0+Debian.stretch.9.6_amd64.deb Size: 1092530 MD5sum: a14388e0ddc5c5dad30505e7b173838d SHA1: 61ade0858ca7b1b1bcb04312179475128344e143 SHA256: 9a3799dca1a4729091baaa72b6e9df891b9b08e86d665b49ccb7d02eaee11b3d SHA512: f6cd5f98d71fc83542789304ca079a1626b5c384611591250374d06e4875bacccf39c4a954d1a93f4227179922fffcaeb5a57e439fab4b41856704b7a3bf8be5 Homepage: http://statsmodels.sourceforge.net/ Description: Python3 low-level implementations and bindings for statsmodels Statsmodels is a Python module for the estimation of statistical models . This package contains architecture dependent extensions for python3-statsmodels. Package: python3-statsmodels Architecture: all Version: 0.8.0-6~bpo9+1 Priority: optional Section: python Source: statsmodels Maintainer: Debian Science Maintainers Installed-Size: 15471 Depends: python3-numpy, python3:any (>= 3.3.2-2~), python3-scipy, python3-statsmodels-lib (>= 0.8.0-6~bpo9+1), python3-patsy, python3-pandas Recommends: python3-matplotlib, python3-joblib, python3-cvxopt Suggests: python-statsmodels-doc Filename: pool-stretch/statsmodel/statsmodel/python3-statsmodels_0.8.0-6~bpo9+1_all.deb Size: 3006700 MD5sum: 2dc3718ca01d2273c03f0a6e65c07410 SHA1: 4e1594683ae57fae407fb06a422aa1745fad0edc SHA256: 5541bb4253802e61abdf1a56e83ba828faa18968954253699867cebe17a543b0 SHA512: c8ca1ac56bd6999e555028d7d88dae8e3e77658c5df8e97da16bfe5013d67cd412679c4345457d59740c6acb3ca07ae360859daccc7452cf3626ac239340866a Homepage: http://statsmodels.sourceforge.net/ Description: Python3 module for the estimation of statistical models statsmodels Python3 module provides classes and functions for the estimation of several categories of statistical models. These currently include linear regression models, OLS, GLS, WLS and GLS with AR(p) errors, generalized linear models for six distribution families and M-estimators for robust linear models. An extensive list of result statistics are available for each estimation problem. Package: python3-statsmodels Architecture: all Version: 0.9.0-0+Debian.stretch.9.6 Priority: optional Section: python Source: statsmodels (0.9.0-0) Maintainer: Debian Science Maintainers Installed-Size: 18196 Depends: python3-numpy, python3:any (>= 3.3.2-2~), python3-scipy, python3-statsmodels-lib (>= 0.9.0-0), python3-patsy, python3-pandas Recommends: python3-matplotlib, python3-joblib, python3-cvxopt Suggests: python-statsmodels-doc Filename: pool-stretch/statsmodel/statsmodel/python3-statsmodels_0.9.0-0+Debian.stretch.9.6_all.deb Size: 3433702 MD5sum: 77cb8003a6c549753ae358f30b4e8a05 SHA1: 676c3610e580a5f12992b8b5f62682fe865b14d3 SHA256: 0eefe1658c46cce27406e46c6e83472c49085e0a18b5551d6ad5cd0af89ed73e SHA512: 6f63a89e659fbec3ae7dea78ea405206acc67bbdbee257a23f46dd69eb3913e00eed8796640503a42012782a11c708c8ab562eaf2b4482dbeb055e03108a1bad Homepage: http://statsmodels.sourceforge.net/ Description: Python3 module for the estimation of statistical models statsmodels Python3 module provides classes and functions for the estimation of several categories of statistical models. These currently include linear regression models, OLS, GLS, WLS and GLS with AR(p) errors, generalized linear models for six distribution families and M-estimators for robust linear models. An extensive list of result statistics are available for each estimation problem. Package: python-theano Architecture: amd64 Version: 1.0.3+dfsg+really.1.0.3-0~bpo9+0 Priority: optional Section: python Source: theano Maintainer: Debian Science Maintainers Installed-Size: 10480 Depends: python-numpy, python-scipy, python-six (>= 1.9.0), python:any (<< 2.8), python:any (>= 2.7.5-5~), python-dev, libblas-dev | libblas.so Recommends: g++, python-pydot | python-pydot-ng, python-nose, python-parameterized, python-pkg-resources, python-pygpu, cython, graphviz Suggests: nvidia-cuda-toolkit, python-pycuda, theano-doc Breaks: python-lasagne (<< 0.1+git20180322.37ca134) Filename: pool-stretch/theano/python-theano_1.0.3+dfsg+really.1.0.3-0~bpo9+0_amd64.deb Size: 1811216 MD5sum: 385ab24c8a6f85b493b6326b057daa7e SHA1: de56e79a46cdfac471ca706e02dcb38c92770076 SHA256: d78275e48796f3cd7a2c3c958d511bfaaa1788514b6dd7f428ab3da2928f2167 SHA512: f6bc670007a1f2e0e5e6e1b98c418d84203ea85b050987d74361d5d0ad1187a3b22979e0a3ef55a21bf0f7bcc4f0fa2c6e6a8f4a707589fe168b16d021da6299 Homepage: http://www.deeplearning.net/software/theano/ Description: CPU/GPU math expression compiler for Python Theano is a Python library that allows one to define and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It provides a high-level Numpy like expression language for functional description of calculation, rearranges expressions for speed and stability, and generates native machine instructions for fast calculation. Optionally, highly accelerated computations could be carried out on graphics cards processors. . This package contains Theano for Python 2. . Theano development is ending: consider using Caffe or Torch instead. Package: python3-theano Architecture: amd64 Version: 1.0.3+dfsg+really.1.0.3-0~bpo9+0 Priority: optional Section: python Source: theano Maintainer: Debian Science Maintainers Installed-Size: 10480 Depends: python3-numpy, python3-scipy, python3-six (>= 1.9.0), python3:any (>= 3.3.2-2~), python3-dev, libblas-dev | libblas.so Recommends: g++, python3-pydot, python3-nose, python3-parameterized, python3-pkg-resources, python3-pygpu, cython3, graphviz Suggests: nvidia-cuda-toolkit, python3-pycuda, theano-doc Breaks: python3-lasagne (<< 0.1+git20180322.37ca134) Filename: pool-stretch/theano/python3-theano_1.0.3+dfsg+really.1.0.3-0~bpo9+0_amd64.deb Size: 1811504 MD5sum: 16b9045fcdf462db1c2d9713988cbb5e SHA1: 52a6077aa86e3a02a4460a43d69ac9c5aa6d21f0 SHA256: b870701765c7ff2a072bee606f68b0818c6caf2f50f2d3f7ed2d57ce4ddfb9af SHA512: 1adb48433eab2b36292319746a7fe0caf369875b40e31482d463e7c7bc7b9dfc674d7a2fbf3981f1f5ed84b83effcf2b38ebc8a3841fd645c8e616a5fbcc5d99 Homepage: http://www.deeplearning.net/software/theano/ Description: CPU/GPU math expression compiler for Python 3 Theano is a Python library that allows one to define and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It provides a high-level Numpy like expression language for functional description of calculation, rearranges expressions for speed and stability, and generates native machine instructions for fast calculation. Optionally, highly accelerated computations could be carried out on graphics cards processors. . This package contains Theano for Python 3. . Theano development is ending: consider using Caffe or Torch instead. Package: python3-torchsummary Architecture: all Version: 1.2.0+3.5-0+Debian.9.12.stretch Priority: optional Section: python Source: torch-summary (1.2.0+3.5-0) Maintainer: Adam Cecile Installed-Size: 59 Depends: python3:any Filename: pool-stretch/torch-summary/python3-torchsummary_1.2.0+3.5-0+Debian.9.12.stretch_all.deb Size: 15490 MD5sum: e729afcf39af9d6a50ead526211c53de SHA1: 3541385d770ecfe16dc386bc54df459167d329a9 SHA256: 019beca1c42ca3eec244d01542971c752d66608082c090dd9e988b3dd8c5726a SHA512: 0413fb37df6f284ecdf40be48724865ed3738b03e5af566697976ec998f54630fbf520c11ffab73f717c2a04edc20e0597964b156633f866e6863f6758636595 Homepage: https://github.com/TylerYep/torch-summary/ Description: View model summaries in PyTorch (Python 3) Torch-summary provides information complementary to what is provided by print(your_model) in PyTorch, similar to Tensorflow's model.summary() API to view the visualization of the model, which is helpful while debugging your network. . In this project, we implement a similar functionality in PyTorch and create a clean, simple interface to use in your projects. . This package installs the library for Python 3. Package: python3-zict Architecture: all Version: 0.1.3-1~bpo9+0 Priority: optional Section: python Source: zict Maintainer: Debian Python Modules Team Installed-Size: 46 Depends: python3-heapdict, python3:any (>= 3.3.2-2~) Filename: pool-stretch/zict/python3-zict_0.1.3-1~bpo9+0_all.deb Size: 10192 MD5sum: da3d3630afda12a46066637743a98508 SHA1: 4a1dc518bd48dc8a964c24bd44622b75191f89bb SHA256: 2beeb09885ca4995e628eeb1a443b519698b9f73e4b4cfd00d25bb09a8ccbfb0 SHA512: 5ff686038a6c1d818064d93d23d5ede51887ce2cf796800829e9be7a61a1f59f3a6b63c2091b9d069deda5d98d0ef17ccae8e45e048fe8a810db3504a558a19a Homepage: http://github.com/mrocklin/zict/ Description: Mutable mapping tools for Python 3 The dictionary / mutable mapping interface is powerful and multi-faceted. . * stores data in different locations such as in-memory, on disk, in archive files, etc.. * manage old data with different policies like LRU, random eviction, etc.. * might encode or transform data as it arrives or departs the dictionary through compression, encoding, etc.. . This contains the Python 3 version