Package: bazel Architecture: amd64 Version: 0.26.1-2+Debian.11.bullseye Priority: optional Section: devel Source: bazel (0.26.1-2) Maintainer: Adam Cecile Installed-Size: 33947 Depends: libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 6), java-runtime | default-jre-headless | default-jre Filename: pool-bullseye/bazel/bazel_0.26.1-2+Debian.11.bullseye_amd64.deb Size: 29175860 MD5sum: 337b476591acdb15fa4959646aa1c28c SHA1: 3b10f348bf25cce085c5384a7be1eeca965107ae SHA256: 3657bcf5d13d7e9a6ff8ebc33f6509c686a23f5eec4afac3b9b562d8de7a9047 SHA512: fed81112a90545a25793ca83b5213cbd5dcbfb705aaa93a992de10a49d7a4fd4a73bcf8b20d1c5253451553f46f1e4c63bdd7b0f3de2d66a0903f195cf59b734 Homepage: https://bazel.build/ Description: Fast, scalable, multi-language and extensible build system Build and test software of any size, quickly and reliably: . - Speed up your builds and tests: Bazel only rebuilds what is necessary. With advanced local and distributed caching, optimized dependency analysis and parallel execution, you get fast and incremental builds. - One tool, multiple languages: Build and test Java, C++, Android, iOS, Go and a wide variety of other language platforms. Bazel runs on Windows, macOS, and Linux. - Scalable: Bazel helps you scale your organization, codebase and Continuous Integration system. It handles codebases of any size, in multiple repositories or a huge monorepo. - Extensible to your needs: Easily add support for new languages and platforms with Bazel's familiar extension language. Share and re-use language rules written by the growing Bazel community. Package: cuda-toolchain-11.2 Architecture: amd64 Version: 0.0.2+Debian.11.bullseye Priority: optional Section: devel Source: cuda-toolchain (0.0.2) Maintainer: Adam Cecile Installed-Size: 10 Depends: nvidia-cuda-toolkit (>= 11.2~), nvidia-cuda-toolkit (<< 11.3~), gcc-10, g++-10, libthrust-dev (>= 1.9.11~), libcupti-dev (>= 11.2~) Filename: pool-bullseye/cuda-toolchain/cuda-toolchain-11.2_0.0.2+Debian.11.bullseye_amd64.deb Size: 3444 MD5sum: 709ee8a9b246a396cb49313c133384e7 SHA1: 8443497ee692eb80aebf81fc81966c03b33b4f7b SHA256: 8413df57033ef34a7b2c7973927c3200e6387e7b3226eddfa6890e327b746f4d SHA512: 95cd354354c19962571b08b1d2782c7f9d79074752d2ceb32f563a91f20710525f1e75ba6763c8ca9941d87f67e0ba44637ed8ac3e07afd40483d6755d0a5585 Description: Metapackage depending on all what is required to build app using CUDA framework Depends on CUDA toolkit package, additional libraries, GCC/G++ compiler in proper versions. . Also depends on some specific workaround packages if needed, according to CUDA version and/or target distribution. . Also provide a .mk file with some variable so it can be including directly in debian/rules of any package wanting to build something using CUDA. Package: python3-cupy-dbgsym Architecture: amd64 Version: 9.6.0-1+Debian.bullseye.11 Auto-Built-Package: debug-symbols Priority: optional Section: contrib/debug Source: cupy (9.6.0-1) Maintainer: Adam Cecile Installed-Size: 24011 Depends: python3-cupy (= 9.6.0-1+Debian.bullseye.11) Filename: pool-bullseye/cupy/python3-cupy-dbgsym_9.6.0-1+Debian.bullseye.11_amd64.deb Size: 20754772 MD5sum: 038649e8de1120e30e8e0792a3c7a471 SHA1: fd4e9f971b8e652aefe1307dcc7d02b6dca4d246 SHA256: 5d9d407621c116fe337243503333353b790dd8716964e5bbaeea9147e9c92d48 SHA512: 9dd4d74bfaaf1d25f0d0e96813da1126cf3531faf4a04104c74902b358170b62e4ac8030de1ed324f2f1648a4e573cbd7b3632a5a8b7ecc9a9781f324e890696 Description: debug symbols for python3-cupy Build-Ids: 03b5e77f2df3b0c906690748f11afc84cee7370f 04a3cbabdfa085e52f99de0dee36c0484ea90b9e 04aaa008b00db549bec980305f2503107c99bb84 04eaf6c67502d36931e38831ea647f2ee2df333a 1027c16af67bec1c7542626e1fe32f3d1389f9a2 14d7fa1f06ea953d842d39d70ac6ab6e050b7b1f 15101712a96dbe31d4bf3517f0bd72d7ec1df6d1 18cfd047575fd025fcc15552926276f7a3cbb17b 1acfccd317305833e0746ee5b1d421316390853a 1ea49349818c26764bee28816f5ff36e1046f169 1fa88410a1ab7510ed32b18a50e61368c1807725 2450c7b950f771d13d2d4c6fa8f2b56879d819e3 28004a2adf0662593d935f8cc8db06fd09404281 29997a52b142693534d63ffcd3139f654d8e790f 34b5550e67cdcddaafbbac48147abb982c50f101 35637ed879ed94cff2d976b82634bedfe9ceec45 35c504c1cdae0c0158a04f8eceaaba39bf92d96f 35ea6b081b6492b498d6f218ff7c227e9a0544f0 3ede473f3e949021f61c7e2391c863c113fa3987 41a08b9378c9763583767590a7e9f0f03003d8f3 4cfed8e3df086305bf4fd7562d30902e5bf09550 52cf4aa8e037b22dc43fe51a1103e90f6f8ee411 54bb7aa487fb695dca63c1b341da297ac787e8c7 5a9787a1d8cb24207117610e46cc3479ad0c36de 5ad5fc5f252005181a8ae436c9647033c92e2a8d 5f717a224d46c6a2820dd3cfb1d3022aec905b3b 6bc1c28b370afd45215f2e40b534064a9d73969a 6f7d4cc0979d6f56c93215b4fbbf7be1d06795db 7092aca738b1504daf6473457e853fe376b40376 7c23c19ebe58698112025e76a2666f70d1133a5e 80626fe08ed84ded88972de2af0f29e7b79fe814 82c01193338b476a37b6dce1a1e59e226197ea44 8660508e4e6f545becb396d3dc5c7dfdac2f2de5 884a2dafa4ce572d62b59cc2884e40ed7fd846df 8ba56963834f6fd0d0262bc38802954eb1fe4035 8f8674b0060c579b8db84505d53103d3ca0d359f 9471099e5d56c71135f9a8ea4f51a3e234476feb 98cf2a7267a4db11b476aec04f73cb15803c5ab8 9c6a551e4bc857f4ca8aa9356f392263666cf8a3 a7c16daa0cc4494b54c79aae620bad97608130a7 a7c41f0e217480242792570afe6bd9208e184560 a85326ebaa866b1cda9ffe178546a2de3619537b b3c5d59e2abc995ba3cfc898ddc596d458e86d11 b5123b1bd7c17a2399fe99de3a58aaf97e1b56ef d087e0e7adaee756276a8067f2e4584feac9960d da91b115ca6adf7edcf946d7479816c39e67ad1f dbc0daac4c2fea67f44757afee67233f45409652 de7fbd8c78f390186a53df9f1bd327da94e8121b e1924108c75362c2aaa6b282c7cfa07e0402d3fa e615a4d2161e3c5634640f0e1cb49ca8cbb837fa e62c62994524c830168fa02fc77e2b9069549e78 ea2753e088734bd95700d7cbe6d638109e04d50f ea6f3a1693824db759ac9126dee78926a9ff89fa f0e8f5e2641a97864e09615d1b5e6c2fd6f4fbe0 f231c5d378605548d6f55199033a661bee4f1ca7 f367a05dcfcfe6f98181783bb1e3542e493bb121 f6225509b9bcb7f69d5025f951bcd7b16c6c4497 fa3ad16b89b589d7e892ab99fa89f7976321d0f9 fc974d71b6da93900f697f5379a6d8e3c8785fd2 fd1fad8091b9d56ad5934390385b5b4951b53d70 Package: python3-cupy Architecture: amd64 Version: 9.6.0-1+Debian.bullseye.11 Priority: optional Section: contrib/science Source: cupy (9.6.0-1) Maintainer: Adam Cecile Installed-Size: 104691 Depends: python3 (<< 3.10), python3 (>= 3.9~), python3-fastrlock, python3-numpy (>= 1.9.0~), python3:any (>= 3.4~), libc6 (>= 2.14), libcublas11, libcuda1 (>= 450) | libcuda.so.1 (>= 450), libcudart11.0, libcudnn8, libcufft10, libcurand10, libcusolver11, libcusparse11, libgcc-s1 (>= 3.0), libnccl2, libnvrtc11.2, libnvtoolsext1 (>= 5.0), libstdc++6 (>= 5.2) Suggests: python-cupy-doc Filename: pool-bullseye/cupy/python3-cupy_9.6.0-1+Debian.bullseye.11_amd64.deb Size: 29359378 MD5sum: 01aa11d4bcc72190a1e25730c9d8859a SHA1: f49a2b41ace5b935a7167a6c25be32c888e16b68 SHA256: 1e3ef6124723d7d28db824fb82761c8b5a9adabf0a9e19f0af7152d64dd694ee SHA512: 9881f1cc14e84918484dd95599dba527fac5e778954ba05bf4aebfcad1c0e7a0dc9634a43dd50e090f46dfebba38892372bd8e2c06924fde4ec7697fb83a8152 Homepage: https://github.com/cupy/cupy/archive/v5.4.0.tar.gz Description: NumPy-like API accelerated with CUDA (Python 3) CuPy is an implementation of NumPy-compatible multi-dimensional array on NVIDIA CUDA. . 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: libcudnn8-dev Architecture: amd64 Version: 8.2.1.32-1+cuda11.3 Priority: optional Section: multiverse/devel Source: cudnn Maintainer: cudatools Installed-Size: 1416544 Depends: libcudnn8 (= 8.2.1.32-1+cuda11.3) Filename: pool-bullseye/libcudnn/libcudnn8-dev_8.2.1.32-1+cuda11.3_amd64.deb Size: 380582900 MD5sum: 03f8954aa6d5571f65546475bb168eff SHA1: bcf832554a8c05f0f654abaa31f5f041b921961d SHA256: 4da5fd71eb837615c1ea6472155e089cb64a424683d647bb1927e66b8930ec8d SHA512: 86bb13e2169d27ecc9661a22a8ce8066d0f596fd49758a232d031aeb6a1edaf6c1646fc9b1e726417670d59726b06a74b84d26fecc762523d7b43014a57a8084 Description: cuDNN development libraries and headers cuDNN development libraries and headers. cuDNN provides primitives for deep neural networks. Package: libcudnn8 Architecture: amd64 Version: 8.2.1.32-1+cuda11.3 Priority: optional Section: multiverse/libs Source: cudnn Maintainer: cudatools Installed-Size: 1403870 Filename: pool-bullseye/libcudnn/libcudnn8_8.2.1.32-1+cuda11.3_amd64.deb Size: 456490174 MD5sum: cb79cffecea8163b52af9ebb9abb1324 SHA1: a34462f02aae09dabe419aaee2432aa7313878dc SHA256: 36abc4539acadc0c6b74f62296e4bf3ddcfb917e1a6d1666bd480b445f2da27d SHA512: 5faec661d189e28bce5da982cf4d86e19b7d07231d5f43f643461e61db0675f73a3f345d09da7ec4780f3b4a49dd179de9dcee7599fb01025f4dd51c1d0a72cc Description: cuDNN runtime libraries cuDNN runtime libraries containing primitives for deep neural networks. Package: equivs-cuda-cublas-11-2 Architecture: all Version: 11.2 Multi-Arch: foreign Priority: optional Section: misc Maintainer: Adam Cecile Installed-Size: 9 Provides: cuda-nvrtc-11-3, cuda-nvrtc-dev-11-3, libcublas-11-3, libcublas-dev-11-3 Depends: libcublas11, libcudart11.0, libnvrtc11.2, nvidia-cuda-toolkit Filename: pool-bullseye/libnvinfer/equivs-cuda-cublas/equivs-cuda-cublas-11-2_11.2_all.deb Size: 3376 MD5sum: 2851840d2707161dccabfe86e3d70f2e SHA1: 76ea9e6c1a0295957b5ab79920167bf1f42ec995 SHA256: 901359cc2ecd415cc9817e737c0429988b3cd2390d2002cdba942bfe4b75e2d7 SHA512: c5c56551cf5b7c71eb4c70ddeb95c5b3f6887c794c1b22766f522fc33353702abd759d16d7b21892f8e58e774722bf57d72bbc4882a137c2068902dbbb99fdfa 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: libnvinfer-dev Architecture: amd64 Version: 8.0.0-1+cuda11.3 Priority: optional Section: multiverse/devel Source: tensorrt Maintainer: cudatools Installed-Size: 803697 Depends: libnvinfer8 (= 8.0.0-1+cuda11.3), libcudnn8-dev, libcublas.so.11-dev | libcublas-dev-11-3, cuda-nvrtc-dev-11-3 Filename: pool-bullseye/libnvinfer/libnvinfer-dev_8.0.0-1+cuda11.3_amd64.deb Size: 125192506 MD5sum: dcd88eb20de49f873cab19bf04cd2f1c SHA1: f10d4296760f605bf21015a9f46fc854242cc6fa SHA256: a164ae2cae77de1113465d45705b9ce5735506eb17b0cf469653571d7b8b645d SHA512: afb6d8609a1f0ffb2d29af3f231c9c4ed16d597c8afea968bb4fd4112e7af49615e3d6e9db021bd135ae4d2cb113128139746e9756c3abdf4661e9b2f37e126d Description: TensorRT development libraries and headers TensorRT development libraries and headers. Package: libnvinfer8 Architecture: amd64 Version: 8.0.0-1+cuda11.3 Priority: optional Section: multiverse/libs Source: tensorrt Maintainer: cudatools Installed-Size: 608765 Depends: libcudnn8, libcublas.so.11 | libcublas-11-3, cuda-nvrtc-11-3 Filename: pool-bullseye/libnvinfer/libnvinfer8_8.0.0-1+cuda11.3_amd64.deb Size: 116231902 MD5sum: 0aabeac854cf47376147e4734aea2721 SHA1: 42be32d76fab6d58977d4a6b78cba4afe28afaac SHA256: 94cb4cafb01b9f84b1bcd7167bad0db0dc11377d5143322cd2eb4b5b8292f91a SHA512: 8e3dc37591ef3dbb6d93879a8a8161d643006cbc99bc7e1a9eec37d0d7c5c09a95fa8c207b6f794a1223a8ece7776cdb063cba278531a5cd19d0259dbc9c2e9d Description: TensorRT runtime libraries TensorRT runtime libraries. Package: libnccl-dev Architecture: amd64 Version: 2.9.9+1-1+Debian.11.bullseye+Cuda.11.2.Levels.35.37.50.52.60.61.70.75.80.86 Priority: optional Section: libdevel Source: nccl (2.9.9+1-1) Maintainer: Adam Cecile Installed-Size: 175294 Depends: libnccl2 (= 2.9.9+1-1+Debian.11.bullseye+Cuda.11.2.Levels.35.37.50.52.60.61.70.75.80.86) Filename: pool-bullseye/nccl2/libnccl-dev_2.9.9+1-1+Debian.11.bullseye+Cuda.11.2.Levels.35.37.50.52.60.61.70.75.80.86_amd64.deb Size: 46474940 MD5sum: 3ccd0f036314dc8956074f1b26906d94 SHA1: aa2458e5a89ff02b850711dcb05cb46188091a2b SHA256: 0543e87b87b7962777589e3d37ea3f5f86f15e546a997e05aec9c5919b30d482 SHA512: 42ff475eebebb4d07a84dd08554235017413cf1837e939bf64fe85c78ecc2fa2a7a2650843426552903edbf4569dff6a7c67fc8515e950c1b39b2ecaa8adf706 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: 2.9.9+1-1+Debian.11.bullseye+Cuda.11.2.Levels.35.37.50.52.60.61.70.75.80.86 Priority: optional Section: libs Source: nccl (2.9.9+1-1) Maintainer: Adam Cecile Installed-Size: 167391 Depends: libc6 (>= 2.17), libgcc-s1 (>= 3.0), libstdc++6 (>= 4.1.1) Filename: pool-bullseye/nccl2/libnccl2_2.9.9+1-1+Debian.11.bullseye+Cuda.11.2.Levels.35.37.50.52.60.61.70.75.80.86_amd64.deb Size: 46307156 MD5sum: c934d5832bc67318cdb066c3171cedb1 SHA1: 2c3894cc6a5490c12fb310cdc50096f91210da9b SHA256: 311f59c4fdb8e15885dad4381092c9701174f74a062a6a414be2bcc9e68ea457 SHA512: 085d3b723ce90e3b8f2fcc3bd4412cc5caeb1a8b1af0e72f7e28a5b16de63caa29bdc4da8e6c3accf933ddda40feb5f9dc93bfd01abd07e70dff97e14c4afe3c 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: python3-fastrlock-dbgsym Architecture: amd64 Version: 0.8-1+Debian.11.bullseye Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: python-fastrlock (0.8-1) Maintainer: Adam Cecile Installed-Size: 83 Depends: python3-fastrlock (= 0.8-1+Debian.11.bullseye) Filename: pool-bullseye/python-fastrlock/python3-fastrlock-dbgsym_0.8-1+Debian.11.bullseye_amd64.deb Size: 61900 MD5sum: 728c91aaf5d3a50cece86124ef1c7e8c SHA1: e387fedc51816c672c19e6cf0e848ebf99690df5 SHA256: 2ae9b1c07b24697456235d8de1c24ed3c2a7066a84fcf6daf57be6eeccecb4f1 SHA512: fb5214624bea5ef821a919d9f9f38065360b8420b817c251c8e4a821ea541d795983247f09d31603447121f42aa55264fc97dd84635afab6f802c2f9cb7bb4e8 Description: debug symbols for python3-fastrlock Build-Ids: 04a089be6e669fe2927c78ca59a7d1b1f21d5178 Package: python3-fastrlock Architecture: amd64 Version: 0.8-1+Debian.11.bullseye Priority: optional Section: python Source: python-fastrlock (0.8-1) Maintainer: Adam Cecile Installed-Size: 90 Depends: python3 (<< 3.10), python3 (>= 3.9~), python3:any (>= 3.4~), libc6 (>= 2.4) Filename: pool-bullseye/python-fastrlock/python3-fastrlock_0.8-1+Debian.11.bullseye_amd64.deb Size: 23634 MD5sum: 8db7691ba8c469bc8ebbeb0674f9fd63 SHA1: 3aeca6885946bc154b27abe8068d388c418a337f SHA256: b3e069aff6cb2ff790bf0b8e77414927b868cb880c6ddc8fa6e46a46b0c8fd40 SHA512: 5b845ae0c0362d6288afd336698110c403bb0eff253e4cc2e0c378f395036f5a276057025defe58ccdfd1daf42a6c4f5c26c7952b388f1c065422575694bbe6a Homepage: https://github.com/scoder/fastrlock Description: Fast RLock implementation for CPython (Python 3) This is a C-level implementation of a fast, re-entrant, optimistic lock for CPython. . It is a drop-in replacement for threading.RLock. FastRLock is implemented in Cython and also provides a C-API for direct use from Cython code via from fastrlock cimport rlock. . This package installs the library for Python 3. Package: python3-grpcio-dbgsym Architecture: amd64 Version: 1.38.0-1+Debian.11.bullseye Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: python-grpcio (1.38.0-1) Maintainer: Adam Cecile Installed-Size: 36567 Depends: python3-grpcio (= 1.38.0-1+Debian.11.bullseye) Filename: pool-bullseye/python-grpcio/python3-grpcio-dbgsym_1.38.0-1+Debian.11.bullseye_amd64.deb Size: 35871652 MD5sum: 14e57d414609e7a082913579fcb7d189 SHA1: 5f0e12f9115abfd14052a3808b664c5e6ab6066a SHA256: eae9feba6485dc49e8a3215c9f0d45b0abb44b503b44e8d83d92d4df563d2718 SHA512: a34d4edd79325a0677efc60e60bff7bfbc118c1913a4b5a8356f8df9bab9008e610cfa9ec2e980f4920303b281bd154829c8ade8e9a1f4945d3966dc6079971f Description: debug symbols for python3-grpcio Build-Ids: 497d0debd1cb679ac2801b770c4159f9f81747e5 Package: python3-grpcio Architecture: amd64 Version: 1.38.0-1+Debian.11.bullseye Priority: optional Section: python Source: python-grpcio (1.38.0-1) Maintainer: Adam Cecile Installed-Size: 6049 Depends: python3 (<< 3.10), python3 (>= 3.9~), python3-six (>= 1.5.2), python3:any (>= 3.4~), libc-ares2 (>= 1.11.0~rc1), libc6 (>= 2.29), libssl1.1 (>= 1.1.0), libstdc++6 (>= 5.2), zlib1g (>= 1:1.1.4) Filename: pool-bullseye/python-grpcio/python3-grpcio_1.38.0-1+Debian.11.bullseye_amd64.deb Size: 1841484 MD5sum: 83c33186f5b0960eeb08adb9593767ac SHA1: 92ef9660a142072eabb01b5ce85e2db5191dc128 SHA256: 076a86b4ca083eb57371e03953376ec56530144065347f69f9db5b733be3af14 SHA512: cb6a5a74dbd9dd8763c7062917ee1c6a3575eea4415179e4a5347ac2a5709a9869fdafa7c6226b4854b06356e9703ad7d00e3492fd2f8e376c8f70eb13d4380b Homepage: https://pypi.org/project/grpcio/ Description: High performance, open-source universal RPC framework (Python 3) gRPC is a modern, open source, high-performance remote procedure call (RPC) framework that can run anywhere. . It enables client and server applications to communicate transparently, and makes it easier to build connected systems. . This package installs the library for Python 3.