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The FFT is a divide-and-conquer algorithm for efficiently computing discrete Fourier transforms of complex or real-valued data sets. It is one of the most important and widely used numerical algorithms in computational physics and general signal processing. The cuFFT library provides a simple interface for computing FFTs on an NVIDIA GPU, which allows users to quickly leverage the floating-point power and parallelism of the GPU in a highly optimized and tested FFT library. . This package contains the cuFFT runtime library. 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The FFT is a divide-and-conquer algorithm for efficiently computing discrete Fourier transforms of complex or real-valued data sets. It is one of the most important and widely used numerical algorithms in computational physics and general signal processing. The cuFFT library provides a simple interface for computing FFTs on an NVIDIA GPU, which allows users to quickly leverage the floating-point power and parallelism of the GPU in a highly optimized and tested FFT library. . This package contains the cuFFTW runtime library. 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CUPTI provides a set of APIs targeted at ISVs creating profilers and other performance optimization tools. The CUPTI APIs are not intended to be used by developers in their CUDA applications. . This package contains the development files: headers and libraries. 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The cuRAND library provides facilities that focus on the simple and efficient generation of high-quality pseudorandom and quasirandom numbers. A pseudorandom sequence of numbers satisfies most of the statistical properties of a truly random sequence but is generated by a deterministic algorithm. A quasirandom sequence of n-dimensional points is generated by a deterministic algorithm designed to fill an n-dimensional space evenly. . This package contains the cuRAND runtime library. Package: libcusolver9.1 Architecture: amd64 Version: 9.1.85-3~bpo10+0 Multi-Arch: same Priority: optional Section: non-free/libs Source: nvidia-cuda-toolkit Maintainer: Debian NVIDIA Maintainers Installed-Size: 87569 Depends: libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1) Filename: pool-buster/TEMP_legacy-cuda-9.1-compat/nvidia-cuda-toolkit/libcusolver9.1_9.1.85-3~bpo10+0_amd64.deb Size: 28217340 MD5sum: 6075e627deb26664763cc12d2fb1143f SHA1: 9b80483f7066e6850afffa4b9ecaf20e367e1501 SHA256: 7769ae43d74e4883f6b073de761b9cfefa2d72f0167df40ca707dc7a88a5b73a SHA512: 3c6bb58b9a3cfe0040ab49d219fbb3e8fdf387a70c59de73aba19f2fe452d9640068cdd11620433fe98e786d870e529acbc9a5716a6924315b7110c1ce0618a7 Homepage: https://developer.nvidia.com/cuda-zone Description: NVIDIA cuSOLVER Library The cuSOLVER library contains LAPACK-like functions in dense and sparse linear algebra, including linear solver, least-square solver and eigenvalue solver. . This package contains the cuSOLVER runtime library. Package: libcusparse9.1 Architecture: amd64 Version: 9.1.85-3~bpo10+0 Multi-Arch: same Priority: optional Section: non-free/libs Source: nvidia-cuda-toolkit Maintainer: Debian NVIDIA Maintainers Installed-Size: 54170 Depends: libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1) Filename: pool-buster/TEMP_legacy-cuda-9.1-compat/nvidia-cuda-toolkit/libcusparse9.1_9.1.85-3~bpo10+0_amd64.deb Size: 25159544 MD5sum: 2b77dab499b4d74284139e5123900860 SHA1: e53df74f9aa418380e6b81ad901c0724dc488ab5 SHA256: a95e9a2eefe13481748adab559eca5d6efd9f4224b2348046b2725b9e281927e SHA512: f17347e9f5e7aa1b28728a130fb0074a88ea7ebc17d866c53a93c959ab1d1ffdae15f1d01bfb3158c9a3547a0111bbfae7f0dbc8114f4ed04542a6019f955ddb Homepage: https://developer.nvidia.com/cuda-zone Description: NVIDIA cuSPARSE Library The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . The cuSPARSE library contains a set of basic linear algebra subroutines used for handling sparse matrices. It is implemented on top of the NVIDIA CUDA runtime and is designed to be called from C and C++. The library routines can be classified into four categories: * Level 1: operations between a vector in sparse format and a vector in dense format * Level 2: operations between a matrix in sparse format and a vector in dense format * Level 3: operations between a matrix in sparse format and a set of vectors in dense format * Conversion: operations that allow conversion between different matrix formats . This package contains the cuSPARSE runtime library. Package: libnppc9.1 Architecture: amd64 Version: 9.1.85-3~bpo10+0 Multi-Arch: same Priority: optional Section: non-free/libs Source: nvidia-cuda-toolkit Maintainer: Debian NVIDIA Maintainers Installed-Size: 585 Depends: libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1) Filename: pool-buster/TEMP_legacy-cuda-9.1-compat/nvidia-cuda-toolkit/libnppc9.1_9.1.85-3~bpo10+0_amd64.deb Size: 134322 MD5sum: ee0707834c524f22b7940871b0ab16f1 SHA1: 4ef3957ce24ec42d5c6e1f58b3c4e6d514d8c7c9 SHA256: a2d6db4043fb5cef596a73e6d1c3139462cd90d8dbbeeed82c5cfe48d0e2d117 SHA512: f9e9716eb0678079939f5fb04ea84a0ad456dbd30e27924be745935e7e788ae26e0b5fb2f8c74e200917ee4113ecf5bb2d98b227a48d6871050f6e91dccd0143 Homepage: https://developer.nvidia.com/npp Description: NVIDIA Performance Primitives core runtime library NVIDIA NPP is a library of functions for performing CUDA accelerated processing. The initial set offunctionality in the library focuses on imaging and video processing and is widely applicable for developers in these areas. NPP will evolve over time to encompass more of the compute heavy tasks in a variety of problem domains. The NPP library is written to maximize flexibility, while maintaining high performance. . This package contains the NVIDIA Performance Primitives core runtime library. Package: libnppial9.1 Architecture: amd64 Version: 9.1.85-3~bpo10+0 Multi-Arch: same Priority: optional Section: non-free/libs Source: nvidia-cuda-toolkit Maintainer: Debian NVIDIA Maintainers Installed-Size: 10627 Depends: libc6 (>= 2.4), libgcc1 (>= 1:3.0), libnppc9.1, libstdc++6 (>= 4.1.1) Filename: pool-buster/TEMP_legacy-cuda-9.1-compat/nvidia-cuda-toolkit/libnppial9.1_9.1.85-3~bpo10+0_amd64.deb Size: 3175568 MD5sum: 45a0d7b1cb1669e57e780b86297ac4e4 SHA1: 18915efcbd760cdd4e8da5261c71dc24da8c6fb9 SHA256: c1908015be943cd84732a9b0516385e5994d0928af8b9afd707be6662f58c63c SHA512: 1b292b73f7f981a962aa99c223772cf340439a9a291b14aad9ffd07ab2af4a4287578fa3508851935a39808e573ad4f281e98619ad3db02b8977f5e6a7995277 Homepage: https://developer.nvidia.com/cuda-zone Description: NVIDIA Performance Primitives lib for Image Arithmetic and Logic NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Arithmetic and Logic operations, which is a sub-library of nppi. Package: libnppicc9.1 Architecture: amd64 Version: 9.1.85-3~bpo10+0 Multi-Arch: same Priority: optional Section: non-free/libs Source: nvidia-cuda-toolkit Maintainer: Debian NVIDIA Maintainers Installed-Size: 4279 Depends: libc6 (>= 2.4), libgcc1 (>= 1:3.0), libnppc9.1, libstdc++6 (>= 4.1.1) Filename: pool-buster/TEMP_legacy-cuda-9.1-compat/nvidia-cuda-toolkit/libnppicc9.1_9.1.85-3~bpo10+0_amd64.deb Size: 1386004 MD5sum: c0861e9ad06b6699de55cbb64cee0eeb SHA1: fd3be6104b52c927387b66ab7d60d1dee42e9f91 SHA256: a1babba07bf44f48773fcc3c1aa39da2f22ad105e1b21430ff66ed8ee82bd01c SHA512: d831505e74d4cf5240056b93857125b69c995c4391c6d08ebaa667e2960323b20902a5a9b1817311cc358ba8a322649235ba174f394af1b22cd0672dc6290b68 Homepage: https://developer.nvidia.com/cuda-zone Description: NVIDIA Performance Primitives lib for Image Color Conversion NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Color and sampling Conversion, which is a sub-library of nppi. Package: libnppicom9.1 Architecture: amd64 Version: 9.1.85-3~bpo10+0 Multi-Arch: same Priority: optional Section: non-free/libs Source: nvidia-cuda-toolkit Maintainer: Debian NVIDIA Maintainers Installed-Size: 1438 Depends: libc6 (>= 2.4), libgcc1 (>= 1:3.4), libnppc9.1, libstdc++6 (>= 4.1.1) Filename: pool-buster/TEMP_legacy-cuda-9.1-compat/nvidia-cuda-toolkit/libnppicom9.1_9.1.85-3~bpo10+0_amd64.deb Size: 507210 MD5sum: 743756906b863da1fa9177a8b2a10b8e SHA1: 5f8bbc745d0f1ce3556af139f40388b9c76df2d3 SHA256: 8823324afd919e683fff7d5bed5a876c7378e30133567f6ea59d9caa1a3f682f SHA512: d01c75e73bf683a43007430dfb12c276265eedbc81a17aa1362119174c2445c38b65eb436c8472cc45afdf23a9aee4a6cef1000019565d3fea0532a2017bdf09 Homepage: https://developer.nvidia.com/cuda-zone Description: NVIDIA Performance Primitives lib for Image Compression NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Compression, which is a sub-library of nppi. Package: libnppidei9.1 Architecture: amd64 Version: 9.1.85-3~bpo10+0 Multi-Arch: same Priority: optional Section: non-free/libs Source: nvidia-cuda-toolkit Maintainer: Debian NVIDIA Maintainers Installed-Size: 7764 Depends: libc6 (>= 2.4), libgcc1 (>= 1:3.0), libnppc9.1, libstdc++6 (>= 4.1.1) Filename: pool-buster/TEMP_legacy-cuda-9.1-compat/nvidia-cuda-toolkit/libnppidei9.1_9.1.85-3~bpo10+0_amd64.deb Size: 1682840 MD5sum: 4a062f12931c9a8d39d6576f69b08f2d SHA1: 747c8584bb1204d0d4d354711b1dc928198a7a8c SHA256: 05afa0055c627e45d4226dd660e39ca8392279cb50b4a672c5cbcfcc20ad92b2 SHA512: a0f65f4a3025cd1dada647ea88c6015eba821497aa5171bf83250708075907f7d1488c359630c587e1d98d1838812487dfda258ab7f6092f413f78bda911ce15 Homepage: https://developer.nvidia.com/cuda-zone Description: NVIDIA Performance Primitives lib for Image Data Exchange and Initialization NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Data Exchange and Initialization, which is a sub-library of nppi. Package: libnppif9.1 Architecture: amd64 Version: 9.1.85-3~bpo10+0 Multi-Arch: same Priority: optional Section: non-free/libs Source: nvidia-cuda-toolkit Maintainer: Debian NVIDIA Maintainers Installed-Size: 55509 Depends: libc6 (>= 2.4), libgcc1 (>= 1:3.0), libnppc9.1, libstdc++6 (>= 4.1.1) Filename: pool-buster/TEMP_legacy-cuda-9.1-compat/nvidia-cuda-toolkit/libnppif9.1_9.1.85-3~bpo10+0_amd64.deb Size: 20906492 MD5sum: 99dda16effd341578288cbec7347d9ae SHA1: 4fb21f64c4a22614cc6f7caa00ec0e67f151cacb SHA256: 565d2a3ce91835d081e697426c2979cc07e52aebb5cd7cd6a7dffdbf76d134ea SHA512: 1d387e8a1fc8f157559a32b6ca7fedf1a0f1fccf386f53b441ceb310a3658451142ec0f3eac4cafa2cfe59db07e7e1d7192dd462f912f1023ff109e09515032c Homepage: https://developer.nvidia.com/cuda-zone Description: NVIDIA Performance Primitives lib for Image Filters NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Filters, which is a sub-library of nppi. Package: libnppig9.1 Architecture: amd64 Version: 9.1.85-3~bpo10+0 Multi-Arch: same Priority: optional Section: non-free/libs Source: nvidia-cuda-toolkit Maintainer: Debian NVIDIA Maintainers Installed-Size: 27012 Depends: libc6 (>= 2.4), libgcc1 (>= 1:3.0), libnppc9.1, libstdc++6 (>= 4.1.1) Filename: pool-buster/TEMP_legacy-cuda-9.1-compat/nvidia-cuda-toolkit/libnppig9.1_9.1.85-3~bpo10+0_amd64.deb Size: 9969768 MD5sum: 126c4e951d2972b6605a27482ec2a383 SHA1: ea33cc508fce9484fffea6cb7025bf8e1ac41c10 SHA256: 2393fadcdaf341785cb90929c76a7adda76fd1979e5511e6c49aa37a03a85446 SHA512: fd51d5d7001fb6cc6334748f8671a563d53651c9ad663a31cde6cd18b7a9df20682742d5f32b036fb5e543582a996fbb22200783c6e5e28853fd4594c813aa2f Homepage: https://developer.nvidia.com/cuda-zone Description: NVIDIA Performance Primitives lib for Image Geometry transforms NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Geometry transforms, which is a sub-library of nppi. Package: libnppim9.1 Architecture: amd64 Version: 9.1.85-3~bpo10+0 Multi-Arch: same Priority: optional Section: non-free/libs Source: nvidia-cuda-toolkit Maintainer: Debian NVIDIA Maintainers Installed-Size: 7639 Depends: libc6 (>= 2.4), libgcc1 (>= 1:3.0), libnppc9.1, libstdc++6 (>= 4.1.1) Filename: pool-buster/TEMP_legacy-cuda-9.1-compat/nvidia-cuda-toolkit/libnppim9.1_9.1.85-3~bpo10+0_amd64.deb Size: 2304396 MD5sum: be21ecb8301be94951bef3263ad1efb1 SHA1: 0ffa41cd0239259dbd8857fde498035567516d44 SHA256: e1aca410057b8d812901a05c5d6faff2245a4e7dc1d7e097fc4e1254311cd02a SHA512: e90b92b7f8b173c16d645339141169a3ce7c0bf3915e9ab0c8c900e43803d5932cc49d0a67a0f8e23ff10fc29207e543f891b47fbaefc7b219203a121c890549 Homepage: https://developer.nvidia.com/cuda-zone Description: NVIDIA Performance Primitives lib for Image Morphological operations NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Morphological operations, which is a sub-library of nppi. Package: libnppist9.1 Architecture: amd64 Version: 9.1.85-3~bpo10+0 Multi-Arch: same Priority: optional Section: non-free/libs Source: nvidia-cuda-toolkit Maintainer: Debian NVIDIA Maintainers Installed-Size: 15416 Depends: libc6 (>= 2.4), libgcc1 (>= 1:3.0), libnppc9.1, libstdc++6 (>= 4.1.1) Filename: pool-buster/TEMP_legacy-cuda-9.1-compat/nvidia-cuda-toolkit/libnppist9.1_9.1.85-3~bpo10+0_amd64.deb Size: 4918908 MD5sum: e4891f27228f6f721b124190092b599e SHA1: f17d8c94c1820144ef86203b97c13e9d964279aa SHA256: ed6c45e437466d4ee588dcf7a927dae3fda1591236eaf71aae16fc648c28af7b SHA512: 2f3512a23acdea97255d81166d4616a6d8cebec667d4223d7e332b53928daff973679c7600c24f865ee94f4f782676be0f6eabf61e976aa5811c1947a4b763c5 Homepage: https://developer.nvidia.com/cuda-zone Description: NVIDIA Performance Primitives lib for Image Statistics NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Statistics and Linear Transformation, which is a sub-library of nppi. Package: libnppisu9.1 Architecture: amd64 Version: 9.1.85-3~bpo10+0 Multi-Arch: same Priority: optional Section: non-free/libs Source: nvidia-cuda-toolkit Maintainer: Debian NVIDIA Maintainers Installed-Size: 575 Depends: libc6 (>= 2.4), libgcc1 (>= 1:3.0), libnppc9.1, libstdc++6 (>= 4.1.1) Filename: pool-buster/TEMP_legacy-cuda-9.1-compat/nvidia-cuda-toolkit/libnppisu9.1_9.1.85-3~bpo10+0_amd64.deb Size: 130350 MD5sum: b15691cd3f1b8d943b60ee398ecef79d SHA1: 7c8f77ac4d2551af56b3c60d3d0ae7909766c5b2 SHA256: d22266909b77951ece5f599386781367ed26d20f0e33f08944a9876fd11f331d SHA512: e1f2f576eb4dd3b87fd044eacb649c7bdc64300342778827ec59aa49d2aaca7f69053f667c39304e9cae61c1b10583144b3437ccc367aaa57d65c45fcabae533 Homepage: https://developer.nvidia.com/cuda-zone Description: NVIDIA Performance Primitives lib for Image Support NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Support, which is a sub-library of nppi. Package: libnppitc9.1 Architecture: amd64 Version: 9.1.85-3~bpo10+0 Multi-Arch: same Priority: optional Section: non-free/libs Source: nvidia-cuda-toolkit Maintainer: Debian NVIDIA Maintainers Installed-Size: 3060 Depends: libc6 (>= 2.4), libgcc1 (>= 1:3.0), libnppc9.1, libstdc++6 (>= 4.1.1) Filename: pool-buster/TEMP_legacy-cuda-9.1-compat/nvidia-cuda-toolkit/libnppitc9.1_9.1.85-3~bpo10+0_amd64.deb Size: 724490 MD5sum: 7385ebe2d8140351b031a211d703f610 SHA1: 02ca3328b8566d8d90c9b665f48e8c1ee476934a SHA256: 3b0837c14cb5065653faf9e02d5f4ffa8db04bb0860bb8fa089f01d66eee16bf SHA512: a854fd1f30063fd96192bf55c41ade96963baaf6c6b7461ddaae859bed782281c44ff664ff84d40c63303043730bd4b8845e2eaecff5c081e0a882e9668e7c4f Homepage: https://developer.nvidia.com/cuda-zone Description: NVIDIA Performance Primitives lib for Image Threshold and Compare NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Threshold and Compare, which is a sub-library of nppi. Package: libnpps9.1 Architecture: amd64 Version: 9.1.85-3~bpo10+0 Multi-Arch: same Priority: optional Section: non-free/libs Source: nvidia-cuda-toolkit Maintainer: Debian NVIDIA Maintainers Installed-Size: 9249 Depends: libc6 (>= 2.4), libgcc1 (>= 1:3.0), libnppc9.1, libstdc++6 (>= 4.1.1) Filename: pool-buster/TEMP_legacy-cuda-9.1-compat/nvidia-cuda-toolkit/libnpps9.1_9.1.85-3~bpo10+0_amd64.deb Size: 2577444 MD5sum: a77e5f923c15bf4b84cccca8c220cd43 SHA1: 9185adc707b8473fd38341351410403311006c73 SHA256: 345fb906eaaefecc487746237d642c8ef159d6c92a7a7238eb1b3e6c3d310b32 SHA512: 48647b8bb16138521069fe47786559647adf7544992da2a28adcfbe0128a1b077f300df6e5492dea1d76526640837793b81dce99405539a7f2a0f4b0d2e8b36c Homepage: https://developer.nvidia.com/npp Description: NVIDIA Performance Primitives for signal processing runtime library NVIDIA NPP is a library of functions for performing CUDA accelerated processing. The initial set offunctionality in the library focuses on imaging and video processing and is widely applicable for developers in these areas. NPP will evolve over time to encompass more of the compute heavy tasks in a variety of problem domains. The NPP library is written to maximize flexibility, while maintaining high performance. . This package contains the NVIDIA Performance Primitives runtime library for signal processing. Package: libnvblas9.1 Architecture: amd64 Version: 9.1.85-3~bpo10+0 Multi-Arch: same Priority: optional Section: non-free/libs Source: nvidia-cuda-toolkit Maintainer: Debian NVIDIA Maintainers Installed-Size: 626 Depends: libc6 (>= 2.4), libcublas9.1, libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1) Filename: pool-buster/TEMP_legacy-cuda-9.1-compat/nvidia-cuda-toolkit/libnvblas9.1_9.1.85-3~bpo10+0_amd64.deb Size: 142238 MD5sum: d3d2b637165a7673fb7a6a9de38229c8 SHA1: ced0c015d059bc01b26588d883adf5c1cf1fdafe SHA256: 6fdb875271872fc81db84a7577ef9dd83c9b09f79fcb6dd6f6efd5a429513d2a SHA512: 137c52580a5b5f11fb600f3c4fa99239ea29380385defd0c176d049288390680d8edde99c9212c52630065889a19aa51dfc3e53bf54fdc167d438b69b960ef23 Homepage: https://developer.nvidia.com/cuda-zone Description: NVBLAS runtime library The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . The NVBLAS Library is a GPU-accelerated Library that implements BLAS (Basic Linear Algebra Subprograms). It can accelerate most BLAS Level-3 routines by dynamically routing BLAS calls to one or more NVIDIA GPUs present in the system, when the characteristics of the call make it to speedup on a GPU. Package: libnvgraph9.1 Architecture: amd64 Version: 9.1.85-3~bpo10+0 Multi-Arch: same Priority: optional Section: non-free/libs Source: nvidia-cuda-toolkit Maintainer: Debian NVIDIA Maintainers Installed-Size: 23060 Depends: libc6 (>= 2.4), libcublas9.1, libcurand9.1, libcusolver9.1, libcusparse9.1, libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1) Filename: pool-buster/TEMP_legacy-cuda-9.1-compat/nvidia-cuda-toolkit/libnvgraph9.1_9.1.85-3~bpo10+0_amd64.deb Size: 6266344 MD5sum: e5c9f6d73705cc6aa7bab71ca41ad89e SHA1: 0614fc426352e4404e5c9d6c26c22e4d69085a20 SHA256: c8746268fa557601db70fbfd02f7c43f1114b07ecdf8ec8b33422ff7dee619d8 SHA512: 5de2e58d9c6bb53bff5116502c140b56d13de5de6461a67b9a65878b98552cf01339d1db25b9caa236e63570e34a6cbceb2f685c8ce9333990e26dcd6ecc0f7c Homepage: https://developer.nvidia.com/cuda-zone Description: NVIDIA Graph Analytics library (nvGRAPH) The NVIDIA Graph Analytics library (nvGRAPH) comprises of parallel algorithms for high performance analytics on graphs with up to 2 billion edges. nvGRAPH makes it possible to build interactive and high throughput graph analytics applications. . nvGRAPH supports three widely-used algorithms: * [Page Rank] is most famously used in search engines, and also used in social network analysis, recommendation systems, and for novel uses in natural science when studying the relationship between proteins and in ecological networks. * [Single Source Shortest Path] is used to identify the fastest path from A to B through a road network, and can also be used for a optimizing a wide range of other logistics problems. * [Single Source Widest Path] is used in domains like IP traffic routing and traffic-sensitive path planning. . In addition, the nvGRAPH semi-ring SPMV operations can be used to build a wide range of innovative graph traversal algorithms. . nvGRAPH accelerates analysis of large graphs by making efficient use of the massive parallelism available in NVIDIA Tesla GPUs. The size of a graph in memory is dominated by the number of edges. An M40 with 24 GB can support a graph of up to 2 billion edges. Package: libnvrtc9.1 Architecture: amd64 Version: 9.1.85-3~bpo10+0 Multi-Arch: same Priority: optional Section: non-free/libs Source: nvidia-cuda-toolkit Maintainer: Debian NVIDIA Maintainers Installed-Size: 24557 Depends: libc6 (>= 2.2.5), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1) Filename: pool-buster/TEMP_legacy-cuda-9.1-compat/nvidia-cuda-toolkit/libnvrtc9.1_9.1.85-3~bpo10+0_amd64.deb Size: 6316668 MD5sum: bdd1b3e179c32dda15b0573cc3513858 SHA1: e026325aa09bc27b36023e60b4ba5fc092e8a2f8 SHA256: 0d07b9972cb47c7e792396dbdfcf5671c49b559be1ab4170f8e0378bf07a2cf9 SHA512: daaf9a031f359ba4aeef73413aed1f10b633d718644d97431b22d0531e077e3619c1c6d25cebc820955898e1802f73e777a9be4636e87f81bdd5dd2290acbb8a Homepage: https://developer.nvidia.com/cuda-zone Description: CUDA Runtime Compilation (NVIDIA NVRTC Library) CUDA Runtime Compilation library (nvrtc) provides an API to compile CUDA-C++ device source code at runtime. . The resulting compiled PTX can be launched on a GPU using the CUDA Driver API. . This package contains the NVRTC library. Package: libnvtoolsext1 Architecture: amd64 Version: 9.1.85-3~bpo10+0 Multi-Arch: same Priority: optional Section: non-free/libs Source: nvidia-cuda-toolkit Maintainer: Debian NVIDIA Maintainers Installed-Size: 144 Depends: libc6 (>= 2.2.5), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1) Filename: pool-buster/TEMP_legacy-cuda-9.1-compat/nvidia-cuda-toolkit/libnvtoolsext1_9.1.85-3~bpo10+0_amd64.deb Size: 38886 MD5sum: 8ae40219debc1e4145466d3cf108d2a2 SHA1: 7af3a53ce8a9913907ca289ec46d375e384d72f8 SHA256: 451680f4575f35cb8cc17d44c49169af4248d6afe0a287d676b26f4fe938f6f7 SHA512: ead82814f92523a844be838230e5d4b11055a2bee791049452d9c6c8aabe1398e60d91d7dbe03e63d4581d9eefa1fa87e049c960d17fc515f8933a2c014ca9d0 Homepage: https://docs.nvidia.com/gameworks/content/gameworkslibrary/nvtx/nvidia_tools_extension_library_nvtx.htm Description: NVIDIA Tools Extension Library The NVIDIA Tools Extension SDK (NVTX) is a C-based API for marking events and ranges in your applications. Applications which integrate NVTX can use Nsight to capture and visualize these events and ranges. . This package contains the NVIDIA Tools Extension runtime library. Package: libnvvm3 Architecture: amd64 Version: 9.1.85-3~bpo10+0 Multi-Arch: same Priority: optional Section: non-free/libs Source: nvidia-cuda-toolkit Maintainer: Debian NVIDIA Maintainers Installed-Size: 14186 Depends: libc6 (>= 2.2.5) Filename: pool-buster/TEMP_legacy-cuda-9.1-compat/nvidia-cuda-toolkit/libnvvm3_9.1.85-3~bpo10+0_amd64.deb Size: 4281716 MD5sum: e971765408f206d0425c13e9d57735ff SHA1: efedda672815942ed7ce5906971249a562edbc0e SHA256: 1b3e2fe3bf325da12aa4be3c3f168295bce4b02a5e661d1dcddd8e3fe1378682 SHA512: 9f71ee11d4e5b0bd4be309ff93fc4a6712a40d575b93500ea4100b3ea0cc26f8402da22a58988e9db78e4353d1defe738686e92457903aa509684f297b85eb96 Homepage: https://developer.nvidia.com/cuda-llvm-compiler Description: NVIDIA NVVM Library NVIDIA's CUDA Compiler (NVCC) is based on the widely used LLVM open source compiler infrastructure. . The NVVM library is used by NVCC to compile CUDA binary code to run on NVIDIA GPUs. . This package contains the NVIDIA NVVM runtime library. Package: libthrust-dev Architecture: all Version: 1.9.1~9.1.85-3~bpo10+0 Multi-Arch: foreign Priority: optional Section: non-free/libdevel Source: nvidia-cuda-toolkit (9.1.85-3~bpo10+0) Maintainer: Debian NVIDIA Maintainers Installed-Size: 6491 Suggests: nvidia-cuda-toolkit Filename: pool-buster/TEMP_legacy-cuda-9.1-compat/nvidia-cuda-toolkit/libthrust-dev_1.9.1~9.1.85-3~bpo10+0_all.deb Size: 468636 MD5sum: b144c9428230db0fe222191dc5736ee9 SHA1: 3b6ed8c45b7395d8a524dcaa44670a6cc4a7d546 SHA256: 289e14b98d705a2cbc8e80d4897a27f7f3f43cb5c91a97a5e5b41f7ae4a10e9c SHA512: 746cb740e2514ab4f5bbe5d5f5eba449bce7ef3b654eca8d0aad7b440d1b32950c52201825d4cbd46dc839e78f2ed29c7e254639d1bcf98a7d014da6a14f617f Homepage: https://developer.nvidia.com/cuda-zone Description: Thrust - Parallel Algorithms Library Thrust is a parallel algorithms library which resembles the C++ Standard Template Library (STL). Thrust's high-level interface greatly enhances programmer productivity while enabling performance portability between GPUs and multicore CPUs. Interoperability with established technologies (such as CUDA, TBB, and OpenMP) facilitates integration with existing software. 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This package contains the development files: headers and libraries. Package: nvidia-cuda-doc Architecture: all Version: 9.1.85-3~bpo10+0 Priority: optional Section: non-free/doc Source: nvidia-cuda-toolkit Maintainer: Debian NVIDIA Maintainers Installed-Size: 203887 Filename: pool-buster/TEMP_legacy-cuda-9.1-compat/nvidia-cuda-toolkit/nvidia-cuda-doc_9.1.85-3~bpo10+0_all.deb Size: 95175154 MD5sum: f0662221fbe0d665f92d68a2a5311f42 SHA1: 57aac32545615ba0b75a63bb07fff97d6b3052d5 SHA256: 010bfc00808e7c37e10f05b310d91c3d9be3aa7759aa1196f0a376eb455171c1 SHA512: ad060ac09a2b03ce8f8894d011dae873535705028fa9032791a42ac982be175f47fd8f0d6c269f8004537c429f2da730cf5c2f5a18845e2fc9811bfb58d7dfd3 Homepage: https://developer.nvidia.com/cuda-zone Description: NVIDIA CUDA and OpenCL documentation The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . OpenCL (Open Computing Language) is a multi-vendor open standard for general-purpose parallel programming of heterogeneous systems that include CPUs, GPUs and other processors. . This package contains the developer documentation. Package: nvidia-cuda-gdb Architecture: amd64 Version: 9.1.85-3~bpo10+0 Priority: optional Section: non-free/devel Source: nvidia-cuda-toolkit Maintainer: Debian NVIDIA Maintainers Installed-Size: 9342 Depends: libc6 (>= 2.4), libncurses5 (>= 6) Recommends: nvidia-cuda-doc (= 9.1.85-3~bpo10+0) Filename: pool-buster/TEMP_legacy-cuda-9.1-compat/nvidia-cuda-toolkit/nvidia-cuda-gdb_9.1.85-3~bpo10+0_amd64.deb Size: 2732626 MD5sum: 44526ac889280b7bf8f04f9d423a6a73 SHA1: da07fd1dcb6ea46ab8c42e523444b51baebb9371 SHA256: 8672947f8b33e45d85a5cfae4c9d7947d68788264341394f33f6a1d890870662 SHA512: 2aa4be1ad82ac8d5787a8bdf161733f75e0bea15664869625776503ca5580af395a49cac79ee612322cfe4cc23471eeabbdf40ac760e2109a83aa5daae83a5be Homepage: https://developer.nvidia.com/cuda-zone Description: NVIDIA CUDA Debugger (GDB) The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . 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Package: nvidia-cuda-toolkit Architecture: amd64 Version: 9.1.85-3~bpo10+0 Priority: optional Section: non-free/devel Maintainer: Debian NVIDIA Maintainers Installed-Size: 59579 Depends: nvidia-profiler (= 9.1.85-3~bpo10+0), nvidia-cuda-dev (= 9.1.85-3~bpo10+0), nvidia-opencl-dev (= 9.1.85-3~bpo10+0) | opencl-dev, gcc-6 | clang-4.0 | clang-3.9 | clang-3.8 | clang (<< 1:5~) | gcc-5 | gcc-4.9 | gcc-4.8, g++-6 | clang-4.0 | clang-3.9 | clang-3.8 | clang (<< 1:5~) | g++-5 | g++-4.9 | g++-4.8, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libnvvm3 (>= 7.0), libstdc++6 (>= 4.1.1) Recommends: nvidia-cuda-doc (= 9.1.85-3~bpo10+0), nvidia-cuda-gdb (= 9.1.85-3~bpo10+0), nvidia-visual-profiler (= 9.1.85-3~bpo10+0) Suggests: libcupti-dev, nvidia-driver (>= 387.26) Conflicts: cuda-license-7-5, cuda-repo-ubuntu1204, cuda-repo-ubuntu1404, cuda-repo-ubuntu1404-7-5-local, cuda-repo-ubuntu1410, cuda-repo-ubuntu1504, cuda-repo-ubuntu1504-7-5-local Filename: pool-buster/TEMP_legacy-cuda-9.1-compat/nvidia-cuda-toolkit/nvidia-cuda-toolkit_9.1.85-3~bpo10+0_amd64.deb Size: 30367556 MD5sum: 125955b05e50f648bd3a7eecf313fb19 SHA1: f14da6e6ba2debaca44fa7a9bd1db20d3dcdd2b7 SHA256: 35aa85fd96f9178c7b13e233b3aa08c025a70e1640ea99fdfb6cf7cd263e8084 SHA512: e1cb3bfa325ec15de6da89974218b3275a25d5cc89fab501ebc50b43453fcb32a040f8dd32930ec3a777a0d8e40e5c94cc1b937fefe082f7b45ab2806dacef5e Homepage: https://developer.nvidia.com/cuda-zone Description: NVIDIA CUDA development toolkit The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . This package contains the nvcc compiler and other tools needed for building CUDA applications. . Running CUDA applications requires a supported NVIDIA GPU and the NVIDIA driver kernel module. Package: nvidia-nsight Architecture: amd64 Version: 9.1.85-3~bpo10+0 Priority: optional Section: non-free/devel Source: nvidia-cuda-toolkit Maintainer: Debian NVIDIA Maintainers Installed-Size: 184379 Depends: default-jre | java6-runtime, libgtk2.0-0, libc6 (>= 2.3) Recommends: nvidia-cuda-doc (= 9.1.85-3~bpo10+0) Filename: pool-buster/TEMP_legacy-cuda-9.1-compat/nvidia-cuda-toolkit/nvidia-nsight_9.1.85-3~bpo10+0_amd64.deb Size: 156079070 MD5sum: ef0f02ae03dc12f59eeaa3570db60f36 SHA1: d2e1f5882eb513e35d15931f85b93465314c10ad SHA256: 5743541cb8f12e94834d0815f3f2a7288cbc19d253a16c1be43656e5362c21e8 SHA512: dfd69b82a51a35ac040dcd49e131dba95629f83fcad7b8e0d289cf204e15019c22efb7c927bc158f787da91a37ff5c32463b8ccd8cd38851657833ced84d3de2 Homepage: https://developer.nvidia.com/cuda/nsight-eclipse-edition Description: NVIDIA Nsight Eclipse Edition NVIDIA Nsight Eclipse Edition is a full-featured IDE powered by the Eclipse platform that provides an all-in-one integrated environment to edit, build, debug and profile CUDA-C applications. 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Package: python3-absl Architecture: all Version: 0.7.1-1+Debian.buster.testing Priority: optional Section: python Source: absl-py (0.7.1-1) Maintainer: Adam Cecile Installed-Size: 402 Depends: python3-six, python3:any (>= 3.4~) Filename: pool-buster/absl-py/python3-absl_0.7.1-1+Debian.buster.testing_all.deb Size: 84150 MD5sum: 70f4df9e6ffcd8dd2ceec128baf270a4 SHA1: 3c87e2e3f2cd918a4d33af6ecdc7c9983f97e591 SHA256: b4f8415c7b0f7f74f6cebf9c80f5d4c595772e09083478cc106c59815a382e44 SHA512: 65e0e491464d92ec0849a50e8249530dc317650f0ea3326d930e9f0c816f66d2fb82db27131f0bd6c63de86a71db308011535758e05bd831e1664761100c971a 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.buster.10 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~) Filename: pool-buster/cloudpickle/python-cloudpickle_0.8.0-1~bpo+Debian.buster.10_all.deb Size: 17554 MD5sum: 99f8652e3bc56a28bc9a78058c3849a7 SHA1: a2a28e729751f9ef669cccd1edfb3cc37b3d3957 SHA256: 94d92e4b6c2eeb89f4ce728fe42c9e0aa4757ace8bc4877f22a4d98735b421b3 SHA512: f070cb177e8a16a75e8f0a5fe50133a97b54d59ec0767856a0a4ff1fde8e4ce75aba34a50e9e8b21dc932260c2c1d036d68b4380d7379d705e8dc9ba424a0e2c 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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Package: python3-cloudpickle Architecture: all Version: 0.8.0-1~bpo+Debian.buster.10 Priority: optional Section: python Source: cloudpickle (0.8.0-1~bpo) Maintainer: Debian Python Modules Team Installed-Size: 67 Depends: python3:any Filename: pool-buster/cloudpickle/python3-cloudpickle_0.8.0-1~bpo+Debian.buster.10_all.deb Size: 17622 MD5sum: 4bd09812a307803eeed1515820101528 SHA1: e690de501ed53fa69ab9106d369eee58986ec0f4 SHA256: acbbe1e1a7052d64a8b2eac70bc83914f5da63e64c494eebd1133ec7639237af SHA512: c268c37e076b1b86d2969c9b8e5be2cc76d094a0ffefe7574df9a48d1118e1a7465721ebcdc6aa43df22dc7c8a78b0cb207a33e5606e08522150a1bce4a59ccd Homepage: https://github.com/cloudpipe/cloudpickle Description: Extended pickling support for Python 3 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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Package: cuda-toolchain-9.2 Architecture: amd64 Version: 0.0.1+Debian.10.buster Priority: optional Section: devel Source: cuda-toolchain (0.0.1) Maintainer: Adam Cecile Installed-Size: 10 Depends: nvidia-cuda-toolkit (>= 9.2~), nvidia-cuda-toolkit (<< 9.3~), gcc-7, g++-7, libthrust-dev (>= 1.9.2~), libcupti-dev (>= 9.2~) Filename: pool-buster/cuda-toolchain/cuda-toolchain-9.2_0.0.1+Debian.10.buster_amd64.deb Size: 3344 MD5sum: 1893befb8915dab209022e78245fffec SHA1: da1e65810c57bbe41e090de2f57682d443ab406d SHA256: aa6b11603f07aa9b0292aaf7f4bf2402da0e92a710c668318149e52818d36249 SHA512: ab99a6a82227381921ab06c3504be7b1bb048df60d7c5e6b94aaff70bca7321978d3bfe836b09de3c25f08c702a8b286a5fe80af0eee708d3d2dfdf7d6ed0ed4 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. . 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Package: python3-dask-sphinx-theme Architecture: all Version: 1.1.0-1~bpo+Debian.buster.10 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 Filename: pool-buster/dask-sphinx-theme/python3-dask-sphinx-theme_1.1.0-1~bpo+Debian.buster.10_all.deb Size: 8752 MD5sum: 7fc2b12f169ec0ee59178304d9b8abd2 SHA1: befc167096cbf7a8b988bac509a2d09558c885c7 SHA256: 30be2b474289bbec96219664c39f5f173e7018dfd856876ba609702a474898fe SHA512: 9ee55f3b13740bd1ad909e251d174526e18bafa7f0f34af944ea64475009e2fedd9aeee3aab8643955ff1b13583a191219e63df77310951e2780c6e3b32205c8 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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This contains the Python 3 version Package: python-dask-doc Architecture: all Version: 2.0.0+dfsg-0+Debian.buster.10 Built-Using: sphinx (= 1.8.4-1) Priority: optional Section: doc Source: dask (2.0.0+dfsg-0) Maintainer: Debian Python Modules Team Installed-Size: 8530 Depends: libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common (>= 0.4.3+dfsg), libjs-mathjax Filename: pool-buster/dask/python-dask-doc_2.0.0+dfsg-0+Debian.buster.10_all.deb Size: 1866060 MD5sum: 51f3306bf0b5a5fb3429cf1aa2bc671f SHA1: 8f9ac276c7eb2ca4a20679a796ed69bd152ddf90 SHA256: 649765752eaca168c6d6d60b702ed4855ae3baa96b6d3b0f8f796e0773047830 SHA512: 54cbb0f3cb0f3832aef5f4e2f63d4bdaf247855ddc785138d285011c561d247e430d3065f2449db9212d05d84446e0789454a0f6e8ce8ca33a4098d24f2a90d4 Homepage: https://github.com/dask/dask Description: Minimal task scheduling abstraction documentation 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 documentation Package: python3-dask Architecture: all Version: 1.1.4-0+Debian.buster.testing Priority: optional Section: python Source: dask (1.1.4-0) Maintainer: Debian Python Modules Team Installed-Size: 2830 Depends: python3:any, python3-toolz Recommends: python3-cloudpickle, python3-numpy, python3-pandas, python3-partd, python3-requests Suggests: ipython, python3-bcolz, python3-blosc, python3-boto, python3-distributed (>= 1.21), python3-graphviz, python3-h5py, python3-psutil, python3-scipy, python3-skimage, python3-sklearn, python3-sqlalchemy, python3-tables Filename: pool-buster/dask/python3-dask_1.1.4-0+Debian.buster.testing_all.deb Size: 513242 MD5sum: 3c4689de4635cacc0c55c045f02a922c SHA1: cc9f00b08bcebca16e1faacf4c4a1de76644ebb8 SHA256: fa8fab96f263dddb6dfe5c09582a1de0a24f33c0f4d2cc20c86200227b2b024b SHA512: 22d6247dbe58567799bdaf44c7b41cfb635db602b8549c8e6721c40e19d975ff108ec317d4f1709b00f705cfcb63e5ada9a1f15b4e0194bcdc3b7942b120656c Homepage: https://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: python3-dask Architecture: all Version: 2.0.0+dfsg-0+Debian.buster.10 Priority: optional Section: python Source: dask (2.0.0+dfsg-0) Maintainer: Debian Python Modules Team Installed-Size: 3062 Depends: python3:any, python3-toolz Recommends: python3-cloudpickle, python3-numpy, python3-pandas, python3-partd, python3-requests Suggests: ipython, python-dask-doc, python3-bcolz, python3-blosc, python3-boto, python3-distributed (>= 1.21), python3-graphviz, python3-h5py, python3-psutil, python3-scipy, python3-skimage, python3-sklearn, python3-sqlalchemy, python3-tables Filename: pool-buster/dask/python3-dask_2.0.0+dfsg-0+Debian.buster.10_all.deb Size: 556214 MD5sum: bd55a70c75544a2b2d6bc94786873a60 SHA1: 15aa0e03477e71242aa0855e107b80dc54edba22 SHA256: 56b3be8e80f113196af5aa16c81ed565ae02bf3a121051a62287dd4bb0a9ba33 SHA512: 790a2caa30600406598e470a92af13be53080835d4e3e60601fb539d5a3b2106b376948245ca491ab4acc4e91cf4e022ab039b5888d6dc211a3b822303a6eac5 Homepage: https://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: python3-google-auth-oauthlib Architecture: all Version: 0.4.2-1~bpo10+0 Priority: optional Section: python Source: google-auth-oauthlib Maintainer: Debian Python Team Installed-Size: 64 Depends: python3-google-auth, python3-requests-oauthlib, python3:any Filename: pool-buster/google-auth-oauthlib/python3-google-auth-oauthlib_0.4.2-1~bpo10+0_all.deb Size: 13390 MD5sum: ae7ea6e2eaf37b0b9a75d479b4c09c37 SHA1: 1d5af994b561bd15341d580f6c4e6ec3f0a5076e SHA256: db8fc89377cc721b2509be1c50398187888de78ebc2360ee55ed4b2d0742bd46 SHA512: 21de01ca784a7ec99023c6d30bdb82824ab36a28753d85dc069fc06441f94956253a0026d8b640b1a7815139d2e8b684f06bc8322b7e672ebe2bb974aeddf697 Homepage: https://pypi.org/project/google-auth-oauthlib/ Description: oauthlib integration with google-auth This library provides oauthlib integration for use with google-auth. Package: python3-pasta Architecture: all Version: 0.2.0-1 Priority: optional Section: python Source: python-google-pasta Maintainer: Adam Cecile Installed-Size: 203 Depends: python3-six, python3:any Filename: pool-buster/google-pasta/python3-pasta_0.2.0-1_all.deb Size: 35746 MD5sum: da801bb230faf4467bad04cf1489edc0 SHA1: ec1b48bd2aecebdad3574de4ee3a63ca7fe192aa SHA256: 1c075e399106d7ca75789408646206eaf11e8890d136997b89d53b947c9e10b3 SHA512: 28972f11de3fc9439a397a863d55e67d6930812f463cb078a020f21d05a9666dac5b22f411c1fcbd139f02372aa5d2a10ef62a838bf1787fd98a7912468ec207 Homepage: https://github.com/google/pasta Description: AST-based Python refactoring library Enable python source code refactoring through AST modifications. . Sample use cases: . - Facilitate moving or renaming python modules by rewriting import statements - Refactor code to enforce a certain style, such as reordering function definitions - Safely migrate code from one API to another . This package installs the library for Python 3. Package: google-mock Architecture: amd64 Version: 1.8.1-3~bpo+Debian.buster.testing 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.buster.testing) Filename: pool-buster/googletest/google-mock_1.8.1-3~bpo+Debian.buster.testing_amd64.deb Size: 7364 MD5sum: 777d6f0e0809a6398592a56b11fdf23b SHA1: 8ecb29de60c3280541fb7351e0a897f1d8145f0a SHA256: 15102cfb3a49366c9120b421bf7153b8856cef450333973959cf54a243f6c1a7 SHA512: 1818c05462143b951d5e95be760695331e7ab116b50a8b783c7a9c1b91a015157d06eb8545179ecd5980a6063d7762efe27ccb3438d2d6a350f53a97313490c7 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.buster.testing 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-buster/googletest/googletest-tools_1.8.1-3~bpo+Debian.buster.testing_amd64.deb Size: 26984 MD5sum: 3a24c11a612fe6cb42edbbcd18401e40 SHA1: ab376bc49a2b3804ac19a0296eb7f94456e2d5c0 SHA256: e950c2053651355c55d7df601caf1705585ebdfbc751dc7c2af842a808deec05 SHA512: 7d4eaa3b45bcf1487b4af7f9d05f6a5369308ac3b7f44568b0ed1ef2f1ab6b9a4cc0a0cb8c0fd50a9b00b7bd8e18f63325b8a501fe78474643d3f8145e8e1f15 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.buster.testing 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-buster/googletest/googletest_1.8.1-3~bpo+Debian.buster.testing_amd64.deb Size: 673298 MD5sum: ab9a18e49532b3da71353a8358e539ea SHA1: fc93c565586dd710f5d557920389389f9e4a6ff2 SHA256: 286efcf258481545b7a4bcdd53689efead97619bc87bcc8015259f0978213561 SHA512: 1abee152bca8fd928d9ffaa566e6ce8dd581a3edd6600de2f9050b840217ee99e72ee04c75cc3b2a6cb07fda244a7f95060845b987dca360bd4c2c0d5b149c70 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.buster.testing Multi-Arch: same Priority: optional Section: libdevel Source: googletest (1.8.1-3~bpo) Maintainer: Steve M. Robbins Installed-Size: 1034 Depends: libgtest-dev (= 1.8.1-3~bpo+Debian.buster.testing) Conflicts: googletest (<= 1.8.0-8) Replaces: googletest (<= 1.8.0-8) Filename: pool-buster/googletest/libgmock-dev_1.8.1-3~bpo+Debian.buster.testing_amd64.deb Size: 135798 MD5sum: 7f411b8958152b27a708145f6087ab0d SHA1: 96ac8fa40eea11a7e99bfaac37208bc2d1e4e2f5 SHA256: 2aea843efc59f5b73fa3395aa687dcb95812afce5296cf1824d0b6134bc00951 SHA512: c3fb76c3f3f27ded3e0e8c47088cb20c1526f397b5cff3773c9ba5a529bdd44f5a62331833c0d68c37b930033bf9af748c95dffcb61a7dc7bc96b54be1a4f2f1 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.buster.testing Multi-Arch: same Priority: optional Section: libdevel Source: googletest (1.8.1-3~bpo) Maintainer: Steve M. Robbins Installed-Size: 1697 Depends: googletest (= 1.8.1-3~bpo+Debian.buster.testing) Conflicts: googletest (<= 1.8.0-8) Replaces: googletest (<= 1.8.0-8) Filename: pool-buster/googletest/libgtest-dev_1.8.1-3~bpo+Debian.buster.testing_amd64.deb Size: 224518 MD5sum: 127b69a4a601872d7f549ef1f711a4d7 SHA1: 9c645466d939438950fd62bcacdd4ed75d3b93d7 SHA256: b674cd92ab0e7b73343a9b94b6ac1336d2b5bf0a321849cbf9c284d1c78ad3f9 SHA512: 17c585ac2ea6b2e017da4094b30b5ab8e52d08b7cf601f2dace3d6191d7e8ba5437a1d4470c222ede5a53621f0dad9b9d693c9376151a118684e66b2c0875f69 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: 0.8.13-2+Debian..10.buster Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: hdbscan (0.8.13-2) Maintainer: Adam Cecile Installed-Size: 2070 Depends: python-hdbscan (= 0.8.13-2+Debian..10.buster) Filename: pool-buster/hdbscan/python-hdbscan-dbgsym_0.8.13-2+Debian..10.buster_amd64.deb Size: 1871274 MD5sum: 5dd323a312921ece02dfb21d94ff589b SHA1: 03e00a462a2b4fd548b092d8fb579d68efa5dcac SHA256: f9ce1b44c155d1dfcf88faf41907f3cf01d79f73a11b70d9b812ef029c3b3618 SHA512: d736071262201c5a8e9a87b73c3ddd63b7230213b1411e30dd0f2cf305c08c4744e6443418bc94db550545edf7fa6b8c7ad5d20cd979d9f4bb313da69b276473 Description: debug symbols for python-hdbscan Build-Ids: 1ca4ca98585ba18c29bfb8332887dc4e762e7f9e 737c6c41c6ef7fa87ac09962a998629949d957ab 887521f154497001c090d0af4ebfb6011bf195aa ab3a43cffadb0c497091d78922878f54a1bf3151 dce9cdb53c5aba33ebd3f0a1f582f853aba22e5a e095c0002e306bb8282ba307f2819c39ede47c22 Package: python-hdbscan-doc Architecture: all Version: 0.8.13-2+Debian..10.buster Priority: optional Section: doc Source: hdbscan (0.8.13-2) Maintainer: Adam Cecile Installed-Size: 6707 Depends: libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common (>= 0.4.3+dfsg) Filename: pool-buster/hdbscan/python-hdbscan-doc_0.8.13-2+Debian..10.buster_all.deb Size: 5343332 MD5sum: 1f6d7bd4a9cd171928aaf8b3134b1d61 SHA1: 5567a9e43b2468779f848ba7e5334b5040312a5f SHA256: 428b52ba414805eab1b38b1a42f9040fc806ed1efce5c8e1da4a0ee1f205530a SHA512: fe56f9ccb735d5b979117c7911735fea9505fc367b9855cbc457d7e52686750c02eef2480bf7ae9813a89d612b754ba171bb261bc95a680847e09d043324e473 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: 0.8.13-2+Debian..10.buster Priority: optional Section: python Source: hdbscan (0.8.13-2) Maintainer: Adam Cecile Installed-Size: 1838 Depends: python-numpy (>= 1:1.16.0~rc1), python-numpy-abi9, cython, python (<< 2.8), python (>= 2.7~), python-sklearn, python:any (<< 2.8), python:any (>= 2.7~), libc6 (>= 2.14) Suggests: python-hdbscan-doc Filename: pool-buster/hdbscan/python-hdbscan_0.8.13-2+Debian..10.buster_amd64.deb Size: 438710 MD5sum: 486e058baaa03d624fb0331a33798a3c SHA1: 13e93c1d4a576f7c5c4e55536418dbb64708640d SHA256: 64589666a53f70933dc3cb6f641227698aab0d7a9d17ddde01faf9cc2a499d9b SHA512: 0934cc3d71693fd29722fdd12d02283e00179566cf0c2e96dd730bc47a060068210a1acac04d307d18de9c7feb2e268e862487c17629913f198973e6c842a23e 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: 0.8.13-2+Debian..10.buster Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: hdbscan (0.8.13-2) Maintainer: Adam Cecile Installed-Size: 2324 Depends: python3-hdbscan (= 0.8.13-2+Debian..10.buster) Filename: pool-buster/hdbscan/python3-hdbscan-dbgsym_0.8.13-2+Debian..10.buster_amd64.deb Size: 2109962 MD5sum: 02273c14b06363dbbc6ab461fe5f1b21 SHA1: f2b1478f86b5fba506cf4a7fc3e7ebe9ef3a048f SHA256: 78088dadbb4390ab56d0a3e8872b284035b2b67dc8c724699eb20de13800c1f6 SHA512: f870916bbff5fef746c24f3c77e6cb9e0b65ac3274329b6b26f5566c2ee2bc5cd1fd8c875d701c3c3082707f34e5f2384a31ddd659afca82d99ea74fb2154451 Description: debug symbols for python3-hdbscan Build-Ids: 36aac894507454b0aca6a8d33057320221dc39a5 5248ff9b2fd2a1dbf449735358483f816ef2d908 5ad98978480fc9e976ed9dac1fc5c705e8e57160 ada36fcd0d7ef6128ffaf166bf67ce656fb00ede e10e97c14c7d04a4c425b145506a5cbada1e76b8 f382e5320efc67630b28e3658f65d431ce15c42d Package: python3-hdbscan Architecture: amd64 Version: 0.8.13-2+Debian..10.buster Priority: optional Section: python Source: hdbscan (0.8.13-2) Maintainer: Adam Cecile Installed-Size: 1798 Depends: python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, cython3 (>= 0.17~), python3 (<< 3.8), python3 (>= 3.7~), python3-sklearn (>= 0.16~), python3:any (>= 3.4~), libc6 (>= 2.14) Suggests: python-hdbscan-doc Filename: pool-buster/hdbscan/python3-hdbscan_0.8.13-2+Debian..10.buster_amd64.deb Size: 428730 MD5sum: 31e36bdc0c18ba79c86b568125f2bbbe SHA1: 6d52a390ac4d75813b9b171d79bcfd32fbb0a582 SHA256: 8e5e2986987952e267a848b5e12f31e47c0c8a5791b64d1147b8c5c4efadd599 SHA512: 8a8875b12ff1c7ab93e376f39f9dec3b770f038f83ad4b28391086100d57d0ba1d8b650de1e302c868a7f8e74a80245ecdcdec1b6b18521e4c929b3ea19dc4f0 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: keras-doc Architecture: all Version: 2.2.4-1~bpo+Debian.buster.testing Priority: optional Section: doc Source: keras (2.2.4-1~bpo) Maintainer: Debian Science Maintainers Installed-Size: 3362 Suggests: python3-keras Filename: pool-buster/keras/keras-doc_2.2.4-1~bpo+Debian.buster.testing_all.deb Size: 808054 MD5sum: 0da5ea19cc40c388bea1d508e95dd9aa SHA1: 1ec4e912b721f622c65958eb707dab57b7bc1957 SHA256: 4a9f1b74a621a5159af2e20e8d9242797fe07bad4ac905e1036d0a3d75de0566 SHA512: e5caae0ae508c61787cad675ffdb6ffa7e3ff6870027c679b92b367027237f0b06e3799ba0da1b1a435fb06b2d7d3132709214b2d7e765730c6732dce8886eb0 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.buster.testing 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~) Recommends: python-keras Filename: pool-buster/keras/python-keras-applications_1.0.6-1~bpo+Debian.buster.testing_all.deb Size: 24942 MD5sum: 8187a7d9f7652ddba3ef70f60fbe6304 SHA1: bdd0edb2da7953a96bceb0e7d22da60e6fa6d7f7 SHA256: 71900bdbe5322cf8e6cef44d60a651472dd37e308969fa8a6df4d77a4782911a SHA512: 55e4524a4fb7a715dd8c06aec0147268225c3459bf86368ed991c84587efdb9cf1ebe5760a3001f961868e7249b5b4f40960d6ec71122918bd2a93c04a6408b1 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: 2.1.5-1+Debian-buster-testing Priority: optional Section: doc Source: keras (2.1.5-1) Maintainer: Adam Cecile Installed-Size: 2431 Filename: pool-buster/keras/python-keras-doc_2.1.5-1+Debian-buster-testing_all.deb Size: 788782 MD5sum: a59b8a7d7f9925d039e25730704369b5 SHA1: e30ee7c4992dae8192e06896b4a0fdb68952f909 SHA256: 8112800fc6b329e7e66823ba6080b101f0aeeecb9f2e83764e63799a6c800eb5 SHA512: b617b9d9aefb90e78d460e027ffcff6246b038481ba2b6e0c23ed97e3306992bee0410d1074134a1fb99feb1c30530b29ff175c4f96813cb068248c7c4b80c49 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.buster.testing 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~) Recommends: python-keras Filename: pool-buster/keras/python-keras-preprocessing_1.0.5-1~bpo+Debian.buster.testing_all.deb Size: 29666 MD5sum: 4616e51b0949deb52798cae057d20b52 SHA1: 7e0ed527148a165497aa2cac2aef596412d3bcec SHA256: 41ad6cef8fa642ba36197ed9c22631b4f195ed33c5aad7eb131124c94de59db7 SHA512: f0aa4cf7f9e25aba28b32d44d016ba54e6ef337e03083de0fa49a7b84d200321f003753d9d9aa78d0150953a93878fbb02b7ce60ce972983b90ba6703f25d8f6 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: 2.1.5-1+Debian-buster-testing 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-buster/keras/python-keras_2.1.5-1+Debian-buster-testing_all.deb Size: 208878 MD5sum: cf65130c7b70e1239a53a17546930ffc SHA1: eb1908f6b38df49441f4dccdeb50bebb2b8de539 SHA256: 1ac47978de077c03f28cd3bc80ba4fafa7d163fc849874c4e37cb69ba822e524 SHA512: c8eeaa27f0bafb8d1e3714251decd48bbbbfd70a05798e7728997df6b1c7f3e4696a3e5d9e601e74f1943508f66121d5195546a67e31e852daf3b8934966c358 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.buster.testing Priority: optional Section: python Source: keras (2.2.4-1~bpo) Maintainer: Debian Science Maintainers Installed-Size: 1503 Depends: python-numpy, python-scipy, python-h5py, python-theano, python-keras-applications, python-keras-preprocessing, python-six (>= 1.9.0), python-yaml, python:any (<< 2.8), python:any (>= 2.7~) Filename: pool-buster/keras/python-keras_2.2.4-1~bpo+Debian.buster.testing_all.deb Size: 203350 MD5sum: bc5c4a4c1be2c54c2799526e8d9e4259 SHA1: 7ae0cb6f58f76bf672d81fcf7017b4a81a8553e8 SHA256: d39e67586303c1b26e2aa4ea4c9e913cb2022e882ef186e37aa9c0cfe8fff56c SHA512: d36f6b45968c7d3d44509984609f1f7e79e3c499301a842ae57b3600fe65546945ceccb3ca08ef55af7b9261d66c6e42f76ae51cb7505b5ad5be292fc38377fe 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.buster.testing 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-buster/keras/python3-keras-applications_1.0.6-1~bpo+Debian.buster.testing_all.deb Size: 25042 MD5sum: 165d1e714a874bacaa6036d77511219d SHA1: 1568b106b22c4ed78bc5d55559e3e707055b5bb6 SHA256: 172dab505cf8b5d14a41a809aacbf2ca384ef5873a546d23ad0f8aced319890e SHA512: 9ca6a37e57d60db35bd396c69aa5a5d7195e8d75086e12416d42688d35fc3f71fc6d0cd86367cf126af9fc964b1f9700d3f8c62d628db3169a63aae916b899d2 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-applications Architecture: all Version: 1.0.8+ds-1~bpo+Debian.10.buster Priority: optional Section: python Source: keras-applications (1.0.8+ds-1~bpo) Maintainer: Debian Science Maintainers Installed-Size: 220 Depends: python3-h5py, python3-numpy, python3:any (>= 3.5~) Recommends: python3-keras Filename: pool-buster/keras/python3-keras-applications_1.0.8+ds-1~bpo+Debian.10.buster_all.deb Size: 27018 MD5sum: 58d7669dbdd691f77da64787daac924d SHA1: 88279210a6e24e15bdbfd5b4b2e25436e3bfc3e7 SHA256: 53a1d655ab3e561c0523cc116886b373ca071fc6dc173b649d24ddd904901b5b SHA512: 66582de0103c69e4b9b21cdd279abb793b2654816f1ff88d7f8f363618e2b7cec5cdb338cd7862df952a0187e8412d6350c5f660de8afb3bacc20adc4ac8d464 Homepage: https://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.buster.testing 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-buster/keras/python3-keras-preprocessing_1.0.5-1~bpo+Debian.buster.testing_all.deb Size: 29758 MD5sum: 1e43f2c964e4aa50902f183d187807f4 SHA1: 867c70e0ec0574fc79c9d4645a833b4936c174bd SHA256: daf7d4b906a3ff32747a233e65cb91899282673b5b4508804e70366b7b40737e SHA512: 97aa8d28d5ff4d3efc1fd4bb634411f5b1ac48b4468c9e0a7b83cc69b34f96b2e775919b6a3f89cd1bfb7bf1ec8418622319664650d0408716f074442f9fe280 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: 2.1.5-1+Debian-buster-testing 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-buster/keras/python3-keras_2.1.5-1+Debian-buster-testing_all.deb Size: 208982 MD5sum: 5c73b32e94ab2c131d7fa703f6c5e627 SHA1: 853e8d3f6b1a12e4989d3c120c72b237bc71dc05 SHA256: 6554f9d35607810c6f7cf557bcd60451ae3f5ef61eac36d1ca4b4c6fa413386c SHA512: 7337e9732cc144ff8084a941f067fc3db27e3b67d3a09e2f329793e3b12e9f448505030a521102be92fd1f5ab0705c1f93313a26a4ad28827d4acffda11469d0 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.buster.testing Priority: optional Section: python Source: keras (2.2.4-1~bpo) Maintainer: Debian Science Maintainers Installed-Size: 1503 Depends: python3-numpy, python3-scipy, python3-h5py, python3-theano, python3-keras-applications, python3-keras-preprocessing, python3-six (>= 1.9.0), python3-yaml, python3:any (>= 3.4~) Filename: pool-buster/keras/python3-keras_2.2.4-1~bpo+Debian.buster.testing_all.deb Size: 203482 MD5sum: eb1875ad9e295383a9b6f835add61c91 SHA1: 555e0c4f750db60d61d77c71bbcf230248699988 SHA256: 2b488eb4f8c2bc6d749310cd90d76a29daa4b07438871172759537bef85519a2 SHA512: 69c6015a53f10b772a361f683e401911f8702238dd82980da47e1e80d0eafa382ccc86f74389db3199a91dd3a259d9e05c9e0309c37425d728dfa6f020868aff 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: libcudnn7-dev Architecture: amd64 Version: 7.4.2.24-1+cuda9.2 Priority: optional Section: multiverse/devel Source: cudnn Maintainer: cudatools Installed-Size: 302900 Depends: libcudnn7 (= 7.4.2.24-1+cuda9.2) Filename: pool-buster/libcudnn/libcudnn7-dev_7.4.2.24-1+cuda9.2_amd64.deb Size: 118552286 MD5sum: 83e216bf5a7b104b43adbebc725e3a22 SHA1: a0e87818206f1567f7f31e6e921d57a2b6c4f1fc SHA256: b788ab4c27d5681427de4994040b361dc01dfe6164780b72e8a37d51f4b401ee SHA512: f4b8b79221ccc2c52f62c2af8405e4f51838ccb32d607ebc1600c8f45dca91301e259f0e2f57e71b3fd0b7a307bfddb51f6313011193140e3f94e85e63786286 Description: cuDNN development libraries and headers cuDNN development libraries and headers. cuDNN provides primitives for deep neural networks. Package: libcudnn7-dev Architecture: amd64 Version: 7.6.4.38-1+cuda9.2 Priority: optional Section: multiverse/devel Source: cudnn Maintainer: cudatools Installed-Size: 338578 Depends: libcudnn7 (= 7.6.4.38-1+cuda9.2) Filename: pool-buster/libcudnn/libcudnn7-dev_7.6.4.38-1+cuda9.2_amd64.deb Size: 132016210 MD5sum: f5a41161e20297e49c2fc2fdfb079939 SHA1: ed272481d924a68ed1ecef7b19acfb6f7414560f SHA256: a17fbd90dc7382af714f0c23144ed182276552c9dc2dd155ba5ce5aea3aba0d8 SHA512: 7d07a53e38a40c3e28e14a367e0bd01146735d9d59a4d796c91ef82b71a28616207c244058925e3167cb93583cd704caadbb9ba3d12d5f7ad0301369c7f0d97f Description: cuDNN development libraries and headers cuDNN development libraries and headers. cuDNN provides primitives for deep neural networks. Package: libcudnn7 Architecture: amd64 Version: 7.4.2.24-1+cuda9.2 Priority: optional Section: multiverse/libs Source: cudnn Maintainer: cudatools Installed-Size: 298406 Filename: pool-buster/libcudnn/libcudnn7_7.4.2.24-1+cuda9.2_amd64.deb Size: 127379552 MD5sum: 2b2f55947b65ffcdbbef868755f80e57 SHA1: bba237189bdcb38a6f3f2de551e46a1463a0eb3d SHA256: d927d595237cc48e1b4c12cd39bbe861c8aed31e66520126993386d2974b5118 SHA512: be90c3616c3bad697db7f0e7beae2e46b049ff6f548c7bf4283f53482e629cbd09c5b7ab9c2aa6df314a69a55c9065eb055362bd88beefed2e477627fa6f8f0e Description: cuDNN runtime libraries cuDNN runtime libraries containing primitives for deep neural networks. Package: libcudnn7 Architecture: amd64 Version: 7.6.4.38-1+cuda9.2 Priority: optional Section: multiverse/libs Source: cudnn Maintainer: cudatools Installed-Size: 332015 Filename: pool-buster/libcudnn/libcudnn7_7.6.4.38-1+cuda9.2_amd64.deb Size: 140750290 MD5sum: 95418ecb4fa5d59b2bb0654921e9db58 SHA1: 038aaf0773a8c8c0a248b2b486400e31e3c29b56 SHA256: 7040d0f3d33dcad839ca9d04c777c7c5f9d2e8b286f97ddae5a200e9fe0fbbc6 SHA512: a3028783e1096aa2771e1e6663824ef8a55c28096559efd710edc2396cf472046acbb06bf21f331dd2f4aa1ba644eec97a672fd17b07a1137f1836f4e8927c2e Description: cuDNN runtime libraries cuDNN runtime libraries containing primitives for deep neural networks. Package: libjasper-dev Architecture: amd64 Version: 2.0.14-1+Debian.buster.testing Priority: optional Section: libdevel Source: jasper (2.0.14-1) Maintainer: Roland Stigge Installed-Size: 2703 Depends: libjasper4 (= 2.0.14-1+Debian.buster.testing) Conflicts: libjasper-1.700-2-dev Replaces: libjasper-1.700-2-dev Filename: pool-buster/libjasper/libjasper-dev_2.0.14-1+Debian.buster.testing_amd64.deb Size: 533652 MD5sum: b985053a531c23acd9786a05b4033767 SHA1: f7b8345c0d1792a7d002283f64cf58fc8e0ed5d0 SHA256: cd34e39500f08cb4c7c6eedb8b50770d1281d4309250cc53bc8258f1044be762 SHA512: cf774b68788e6cc55c8a417df49b020823d8a1ab12b60d173a2127d6bc3e0dfcc42b6087e4db61f57285bad47a2de1279f05441384ba7ef6f8b7e392a69350fe 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.buster.10 Priority: optional Section: libdevel Source: jasper (2.0.16-0) Maintainer: Roland Stigge Installed-Size: 2704 Depends: libjasper4 (= 2.0.16-0+Debian.buster.10) Conflicts: libjasper-1.700-2-dev Replaces: libjasper-1.700-2-dev Filename: pool-buster/libjasper/libjasper-dev_2.0.16-0+Debian.buster.10_amd64.deb Size: 533538 MD5sum: 3552f7fe1a09de14d773ab913894eda3 SHA1: 8dd8f6d3cb89da0c92e249a44a07bb62121a0eeb SHA256: 0b466ab3e238c0b6b95ebcc173a78431b89c9d506649dcaf5fbfc2127e8d3801 SHA512: cc29d8674dada97eeafead946af11ee6e39848fe9d52ad6acdb8d5a80623d78e61e7b49b90dc69c4f21ba2e76930788faba1da7b94c79ca482df854be4205624 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.buster.testing Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: jasper (2.0.14-1) Maintainer: Roland Stigge Installed-Size: 80 Depends: libjasper-runtime (= 2.0.14-1+Debian.buster.testing) Filename: pool-buster/libjasper/libjasper-runtime-dbgsym_2.0.14-1+Debian.buster.testing_amd64.deb Size: 44010 MD5sum: 0d0efdefc242813488a208fc330fcec6 SHA1: e48237217550d483dc3b3dc35fb6f3d5e528c11d SHA256: 7434dd766462bd849b1b9920ab36688a2d3aa1c900910c429da04479992f412b SHA512: a45a7059668b05c263c8105678861c79774cb0b90e3fb50dc487ca20ac906342b3f062419d9638f80d05fea7525e51e7028173f25976dacaac60172f71c010bf Description: debug symbols for libjasper-runtime Build-Ids: 0508cb5b440ce38c9e24bb72271136254ed02d65 332de27fcfc60a21bfa983f633afefee2dd83aa3 656740e592b534d747fddec051a6f9c5f2c4746c 6b7fed9303a8f790797a66248ee5c9eb559bca0f Package: libjasper-runtime-dbgsym Architecture: amd64 Version: 2.0.16-0+Debian.buster.10 Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: jasper (2.0.16-0) Maintainer: Roland Stigge Installed-Size: 86 Depends: libjasper-runtime (= 2.0.16-0+Debian.buster.10) Filename: pool-buster/libjasper/libjasper-runtime-dbgsym_2.0.16-0+Debian.buster.10_amd64.deb Size: 48504 MD5sum: b593aa12d3267c917257efcd74840092 SHA1: 7484fd9c3b81c8bf3a5cfa0515df6a8c91eaf974 SHA256: 5f5b34808b4ea25f657793b95c249aa0f5ed1074fc398f7852cc68db4603d5e7 SHA512: b3fff18d8b2e0cad8a4d6641cf5f3277cdafd218bc281db65eda1651e76ac0ec73463f4042239032c0df073965109100c91a158dc650406dc30370d57d1f265f Description: debug symbols for libjasper-runtime Build-Ids: 14b9ccb34b5e75cc2d0019076a3fd7d24ec828e5 6f720774e4d871b46b9d9f1b3063ce9229fecfab 80c9518fc6d211f667e6180e9a655729268a2d1b a994ba36a9aed54639eb38c77d70e466fdb9a23d Package: libjasper-runtime Architecture: amd64 Version: 2.0.14-1+Debian.buster.testing Priority: optional Section: graphics Source: jasper (2.0.14-1) Maintainer: Roland Stigge Installed-Size: 88 Depends: freeglut3, libc6 (>= 2.4), libgl1, libglu1-mesa | libglu1, libjasper4, libjpeg62-turbo (>= 1.3.1) Conflicts: libjasper-progs Replaces: libjasper-progs Filename: pool-buster/libjasper/libjasper-runtime_2.0.14-1+Debian.buster.testing_amd64.deb Size: 26562 MD5sum: d4f692e194b7e63dd62c1b56c2588aba SHA1: 8c967cc517a6c7b7caa80ba9b8a80ae743129c74 SHA256: 596ef624bdb6c907b523c784f5afdcd4fd386b676a609353f5c77b22c860fcbb SHA512: d95d3f326453b8ce44f0b6f4a4ea38277212dbf18c346be38fb7be51d39da5d2722b2a0a1c97c58a918ce9fa7783b66d26d16c674533e180712718b26b22fd73 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.buster.10 Priority: optional Section: graphics Source: jasper (2.0.16-0) Maintainer: Roland Stigge Installed-Size: 112 Depends: freeglut3, libc6 (>= 2.4), libgl1, libglu1-mesa | libglu1, libjasper4, libjpeg62-turbo (>= 1.3.1) Conflicts: libjasper-progs Replaces: libjasper-progs Filename: pool-buster/libjasper/libjasper-runtime_2.0.16-0+Debian.buster.10_amd64.deb Size: 26546 MD5sum: 46520d684b787cf97ebc24fc41197bba SHA1: 5291d2da3534f3aa9f82d8bdbdc8d5e63e563985 SHA256: 6317c735a47ecc5311757733612a6e1d46eab3dee37f8717e5e072c0a5a8f182 SHA512: 50742378cabd5065cda7985c2da0008bb0152b907f3356eb117e878401271a056357979a57e0d08b5c869db376ea2ab0951a76f22ae338d0bcf595e4cc2d3c1b 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.buster.testing Auto-Built-Package: debug-symbols Multi-Arch: same Priority: optional Section: debug Source: jasper (2.0.14-1) Maintainer: Roland Stigge Installed-Size: 378 Depends: libjasper4 (= 2.0.14-1+Debian.buster.testing) Filename: pool-buster/libjasper/libjasper4-dbgsym_2.0.14-1+Debian.buster.testing_amd64.deb Size: 341506 MD5sum: 4005280735c270f399289173f550e154 SHA1: f32537194a1a6d48e0c5d98f6ef039062dffff07 SHA256: b656054ad7cae1331e9a431f384f58f4e8559bac5ba01823031cbdd1f33b01ec SHA512: 337e7beb4e7049da6588bd4d83064d9582fded0d0275878440d49a26fc74170ed940b1fdfe0a3bb71dfa61726c75d74bddc057cd93d3fd803ba87cf9f45c8f06 Description: debug symbols for libjasper4 Build-Ids: 53464d8381689117786105136d9b7940187dba40 Package: libjasper4-dbgsym Architecture: amd64 Version: 2.0.16-0+Debian.buster.10 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: optional Section: debug Source: jasper (2.0.16-0) Maintainer: Roland Stigge Installed-Size: 455 Depends: libjasper4 (= 2.0.16-0+Debian.buster.10) Filename: pool-buster/libjasper/libjasper4-dbgsym_2.0.16-0+Debian.buster.10_amd64.deb Size: 419454 MD5sum: a026aacce6b36011ab85341156194332 SHA1: d41c4acbb02b5bd2635d79854df916aa365704f1 SHA256: 2d8613371ab75188f3fe8410f995b7bed401caa17401f796fd9a568c02fd2a73 SHA512: 15bf84aaa15a1171b9da98f9c79edef69b38025ae2dde244a9fdb6bcd5b98cf2e29974257d3bb4cbb0f37caf48782ba77e7d47443cfff11d0ab505a853da4209 Description: debug symbols for libjasper4 Build-Ids: 4fd1ea458573f6d55ad5e711636eb1eaaccbb1c0 Package: libjasper4 Architecture: amd64 Version: 2.0.14-1+Debian.buster.testing Multi-Arch: same Priority: optional Section: libs Source: jasper (2.0.14-1) Maintainer: Roland Stigge Installed-Size: 359 Depends: libc6 (>= 2.14), libjpeg62-turbo (>= 1.3.1) Suggests: libjasper-runtime Conflicts: libjasper-1.700-2 Replaces: libjasper-1.700-2 Filename: pool-buster/libjasper/libjasper4_2.0.14-1+Debian.buster.testing_amd64.deb Size: 141034 MD5sum: 4feb9146a66bcb0ebdd48bca96f5e8fc SHA1: 9a95a6990966b9aa0bbaa5ced303291b693da408 SHA256: dc69016a4017fdd8ad9d2a59897196766dbef66bed8eb9ae2c60764c3c2653ce SHA512: 6d408ce6e84e706a35b27a4e8e504eb935814bfa675c2b340c3da8ff5115e5e4bc5f765f0dadbe4a0968e849d66a9e4fd3d3bed1584b466480e32704f95814fa 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.buster.10 Multi-Arch: same Priority: optional Section: libs Source: jasper (2.0.16-0) Maintainer: Roland Stigge Installed-Size: 363 Depends: libc6 (>= 2.14), libjpeg62-turbo (>= 1.3.1) Suggests: libjasper-runtime Conflicts: libjasper-1.700-2 Replaces: libjasper-1.700-2 Filename: pool-buster/libjasper/libjasper4_2.0.16-0+Debian.buster.10_amd64.deb Size: 141718 MD5sum: e545afb3df87b4fa023f287ac2c775b1 SHA1: 6ab0f00d80dfe0f0725e837e121747ac1933eed4 SHA256: eefa3592b62bc6cecb3cfffd3ccd72c2a4ee3d93498473ac15fa04404c984e13 SHA512: 1cd96c1ead8b1f9a161486bb620a4dc7ebc1655f9df67ec73313604f6b4b70aa6708cf53480c28a370c033ea4da6ed1b437936aa82ff496e2aa74c3c4d9aba13 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: equivs-cuda-cublas-9-2 Architecture: all Version: 9.2 Multi-Arch: foreign Priority: optional Section: misc Maintainer: Adam Cecile Installed-Size: 9 Provides: cuda-cublas-9-2 Depends: libcublas9.2, libcudart9.2 Filename: pool-buster/libnvinfer/equivs-cuda-cublas/equivs-cuda-cublas-9-2_9.2_all.deb Size: 3200 MD5sum: d5c4b1a46947b0b946cf8716ba82b46a SHA1: 75370d42063167c2b3cb5705f1cff0fa8734ebd4 SHA256: 14534e3359c6accfb5a9c209b1a32c385a0ba42d4e35d0a92cb5fcae5c665ee9 SHA512: 2765be0a9fbbb2dde27f02aa58299632df3b167c7aebd80ed8128dbc2790af4535af812b5312ba2368018b304d15ab002873ea625cc0297f30e3432d1bcc102a 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. 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Package: liblightgbm Architecture: amd64 Version: 2.2.1+debian-1+Debian.buster.testing Priority: optional Section: libs Source: lightgbm (2.2.1+debian-1) Maintainer: Adam Cecile Installed-Size: 2668 Depends: libboost-filesystem1.62.0, libboost-system1.62.0, libc6 (>= 2.27), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libopenmpi3, 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-buster/lightgbm/liblightgbm_2.2.1+debian-1+Debian.buster.testing_amd64.deb Size: 773934 MD5sum: c53ff5f11d6826ad276bd676d41dfd99 SHA1: 989238fbc536ecc702eaf30ff1235c6194a54282 SHA256: 2fd666b21070af7ad585f915a3d1d32d302721f0d5505ead5e12146e26b4ff3c SHA512: c7b9441094ca57794b0ce4202469df135c610f8625a9b0a9f80e34b9edcbfe4fcc9eafc10cb0cf59222283b8bfb5507b2af57d6c78c6a615fc099c886bf80696 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.buster.testing Priority: optional Section: libs Source: lightgbm (2.2.3+debian-1) Maintainer: Adam Cecile Installed-Size: 2873 Depends: libboost-filesystem1.67.0, libboost-system1.67.0, libc6 (>= 2.27), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libopenmpi3, libstdc++6 (>= 6), ocl-icd-libopencl1 | libopencl1, ocl-icd-libopencl1 (>= 1.0) | libopencl-1.2-1, ocl-icd-libopencl1 (>= 2.2.0) | libopencl-2.0-1 Filename: pool-buster/lightgbm/liblightgbm_2.2.3+debian-1+Debian.buster.testing_amd64.deb Size: 822926 MD5sum: 1eaaf587d14370b2ab3472901e4663dc SHA1: ef0b0d6216cf2b8767794051564df4c9b7679e90 SHA256: ed923e127270658745c201235c0c8c8bbecac7b8d7b3988fbe9a8d3982614d55 SHA512: 94897b6c477160521ec1bf9587cbda14d41f468731e5425fce4a0ed95b1d119e88748c56b95e171916ee7795bb523109646f111b01c0438ef9af196299d89872 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.buster.10 Priority: optional Section: libs Source: lightgbm (2.3.0+debian-1) Maintainer: Adam Cecile Installed-Size: 2985 Depends: libboost-filesystem1.67.0, libboost-system1.67.0, libc6 (>= 2.27), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libopenmpi3, libstdc++6 (>= 6), ocl-icd-libopencl1 | libopencl1, ocl-icd-libopencl1 (>= 1.0) | libopencl-1.2-1, ocl-icd-libopencl1 (>= 2.2.0) | libopencl-2.0-1 Filename: pool-buster/lightgbm/liblightgbm_2.3.0+debian-1+Debian.buster.10_amd64.deb Size: 861162 MD5sum: 6162838eca8e2f217f844e674680caaf SHA1: 816ed856aaf0b392046475ccaac3e675f5a5d15a SHA256: 37bc7098afec1cc0076f3bfd9dde05876a48232d786015ff2574c0bb8aba9e92 SHA512: 6b3fda493e428b1ad8da9eed65523778196e13b210c0537a2aea6e2e47049c55bc5d7e4aed3853cfd1cb576b2e8fbc925735a615702376e5449262026d56f5c6 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. . 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 the shared library. Package: lightgbm-dbgsym Architecture: amd64 Version: 2.0.7+debian-2+Debian.buster.testing Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: lightgbm (2.0.7+debian-2) Maintainer: Adam Cecile Installed-Size: 5758 Depends: lightgbm (= 2.0.7+debian-2+Debian.buster.testing) Filename: pool-buster/lightgbm/lightgbm-dbgsym_2.0.7+debian-2+Debian.buster.testing_amd64.deb Size: 5603648 MD5sum: ad5a3062a3f18694b83fc327f7063352 SHA1: d003952c5846b006a584aaf140a1797372adf562 SHA256: e6bfa651b292056959bffae0043de71c873ba22edef800cbe863259ee4db8864 SHA512: 660e2126ecf358acbc4006dcb50f3eae70383db08e16c774df9bb0ed2faa43043cad1260ecd2b78eff29a6991ad61d6dee992594852a32d2ab5552bb90d3e417 Description: debug symbols for lightgbm Build-Ids: c5bf5437eb91fe2e5e681c695b99f6b6666fe67b Package: lightgbm-dbgsym Architecture: amd64 Version: 2.0.8+debian-1+Debian.buster.testing Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: lightgbm (2.0.8+debian-1) Maintainer: Adam Cecile Installed-Size: 5816 Depends: lightgbm (= 2.0.8+debian-1+Debian.buster.testing) Filename: pool-buster/lightgbm/lightgbm-dbgsym_2.0.8+debian-1+Debian.buster.testing_amd64.deb Size: 5661140 MD5sum: b7a00bacc6e7a5bdcf5dbad58c983dd0 SHA1: 69fcc5a6424ef923aca9896652e7ae320c437eb2 SHA256: ee095fa3670eec6bd790a3bad73bdfad9d52d8af9cc8e479f8f2017c9e9193d7 SHA512: fab5a3d5ee29367959fbea0b4170cea5948d6e5c7ebd44311d779dd78cb27b3ab4fcf5ce62cdb97fb9b79ad63101451325c1b0c8aca9da2c8ac449ffb1e81940 Description: debug symbols for lightgbm Build-Ids: dbb8607f9b99674a480d6cd1672a6b0c5ddc4839 Package: lightgbm-dbgsym Architecture: amd64 Version: 2.2.1+debian-1+Debian.buster.testing Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: lightgbm (2.2.1+debian-1) Maintainer: Adam Cecile Installed-Size: 10371 Depends: lightgbm (= 2.2.1+debian-1+Debian.buster.testing) Filename: pool-buster/lightgbm/lightgbm-dbgsym_2.2.1+debian-1+Debian.buster.testing_amd64.deb Size: 10141316 MD5sum: b2a89ff31740964c24b74d33dcdd69ed SHA1: acf0f0eea19d0cc74a8c399b0ac3dab2252284a8 SHA256: 37d05b0885b15360cc6048201c06c6702d18d7865ce8eba39eca00dcb7ec3279 SHA512: 44327e625e5eb07a48650e0f14233af645465bebde5682125884bda763dc24fa17eeb063d03d9837b9b2a189a6b91119c6b5dbdc375bbf6c6358d72cc180ce96 Description: debug symbols for lightgbm Build-Ids: 6bc419b277eed97d3e0018f3e25921e0ecdc2612 Package: lightgbm-dbgsym Architecture: amd64 Version: 2.2.3+debian-1+Debian.buster.testing Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: lightgbm (2.2.3+debian-1) Maintainer: Adam Cecile Installed-Size: 10942 Depends: lightgbm (= 2.2.3+debian-1+Debian.buster.testing) Filename: pool-buster/lightgbm/lightgbm-dbgsym_2.2.3+debian-1+Debian.buster.testing_amd64.deb Size: 10668820 MD5sum: c79827a8acefcc9114ff9b19e273df77 SHA1: c7d3b1d87471373300bd92ddb14cb9458145a62f SHA256: 12f2f552c2b57e06050b35a3c29dae8071370c4b38c658e887f99966f465ffc1 SHA512: ecb0686b1b98a39ae6b2e5cc10111b2706fc18b49c06a8001b038b51480ac8febc8f65232074c41e295af295f349691f595fb320cb9716607104fce3e293e7b3 Description: debug symbols for lightgbm Build-Ids: 95aba98e0b9807d296bc0bf50ae57104dfc41101 Package: lightgbm-dbgsym Architecture: amd64 Version: 2.3.0+debian-1+Debian.buster.10 Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: lightgbm (2.3.0+debian-1) Maintainer: Adam Cecile Installed-Size: 11487 Depends: lightgbm (= 2.3.0+debian-1+Debian.buster.10) Filename: pool-buster/lightgbm/lightgbm-dbgsym_2.3.0+debian-1+Debian.buster.10_amd64.deb Size: 11224072 MD5sum: 079236b14c874ac17b5fc559ed45d4ab SHA1: f788a66ab087e902c0264552d2a0aca27457f719 SHA256: 8200c06be52fd75b3fa2242f4b4f1a3af83c7e3b8e21ea1535ba1c967b057c32 SHA512: 59485c2ac3ac86dc9bee637ac936c164e304ebc91d857b250820c3640fdebf8c6f207682c0498d0e5cd4f4c0a151b42bb463f1191b331a034e527592737aafb2 Description: debug symbols for lightgbm Build-Ids: 08b1ae53973eb34bb4d9912b7dfad51d465d3290 Package: lightgbm-dev Architecture: all Version: 2.0.7+debian-2+Debian.buster.testing Priority: optional Section: devel Source: lightgbm (2.0.7+debian-2) Maintainer: Adam Cecile Installed-Size: 224 Depends: liblightgbm (>= 2.0.7+debian-2), liblightgbm (<< 2.0.7+debian-2.1~) Filename: pool-buster/lightgbm/lightgbm-dev_2.0.7+debian-2+Debian.buster.testing_all.deb Size: 38578 MD5sum: 1af0c8e1d96885eb75c9859639a13580 SHA1: d89655ce24d033c5cac60cdb14107b2299f6c7e9 SHA256: c525ae8b503007d2491e3e464f58c0fe4042178fc18efac822615c8abcca23ab SHA512: fef5b8af17f6e29f6f5e65004d41f27994687080c5e815dcc14481525b39f4e3b90c8fe1823cdbe817f288afa590f579c6c701f6e09b6ecb119f3de3fa1aa67c Homepage: https://github.com/Microsoft/LightGBM Description: High performance gradient boosting framework (development) LightGBM is a gradient boosting framework that uses tree based learning algorithms. . 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Package: lightgbm-dev Architecture: all Version: 2.0.8+debian-1+Debian.buster.testing Priority: optional Section: devel Source: lightgbm (2.0.8+debian-1) Maintainer: Adam Cecile Installed-Size: 227 Depends: liblightgbm (>= 2.0.8+debian-1), liblightgbm (<< 2.0.8+debian-1.1~) Filename: pool-buster/lightgbm/lightgbm-dev_2.0.8+debian-1+Debian.buster.testing_all.deb Size: 39054 MD5sum: 190ec923cf7b0bbd79de7bc1e05c7290 SHA1: 4ea27828bee1412b2e748f350fe020b77bde7e3f SHA256: 306a7b879964c6f3b9a529247cb2414489f0d8d3f9e71d2fbbca13f3eb46212a SHA512: 622b27e54a57cb9907bae3daeec3dd70c8f9f0b3d8d2b61e31adc46ec710432570825279f093896fc560cdb1a1ea4885f3ed079a44dd1a3922f0843a4c11e9c0 Homepage: https://github.com/Microsoft/LightGBM Description: High performance gradient boosting framework (development) LightGBM is a gradient boosting framework that uses tree based learning algorithms. . 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Package: lightgbm-dev Architecture: all Version: 2.2.1+debian-1+Debian.buster.testing Priority: optional Section: devel Source: lightgbm (2.2.1+debian-1) Maintainer: Adam Cecile Installed-Size: 277 Depends: liblightgbm (>= 2.2.1+debian-1), liblightgbm (<< 2.2.1+debian-1.1~) Filename: pool-buster/lightgbm/lightgbm-dev_2.2.1+debian-1+Debian.buster.testing_all.deb Size: 49634 MD5sum: feb6ded86b1340e226cfd7b91e82e0d9 SHA1: 67d3252e51182ebd489d5fa439b8ef2dbd6d0cbb SHA256: 4d9fa872d37ab6fc9f3dd00570b9954f382eb33a1f97fdeb0ec0ba0602bc97ff SHA512: e31a2389b0f6314831d81ebd0a84a82a15157dd7f0f00795e978d7e299985ebecf88583060b537f1a6af949460e436662771a1087dfda646e6c7ed0fd8907b19 Homepage: https://github.com/Microsoft/LightGBM Description: High performance gradient boosting framework (development) LightGBM is a gradient boosting framework that uses tree based learning algorithms. . 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Package: lightgbm Architecture: amd64 Version: 2.0.7+debian-2+Debian.buster.testing Priority: optional Section: admin Source: lightgbm (2.0.7+debian-2) Maintainer: Adam Cecile Installed-Size: 1636 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 (= 2.0.7+debian-2+Debian.buster.testing) Filename: pool-buster/lightgbm/lightgbm_2.0.7+debian-2+Debian.buster.testing_amd64.deb Size: 474464 MD5sum: 3dea2755e0f6f373c5290dca6ad9ff40 SHA1: b1741de3b76ccbb2daf75d9abf4e22cfcd69a828 SHA256: bf9ce9cae535db0d390e3dacdd3cd6a354ab99f684460176b12fcc17599d4af6 SHA512: 672e0f5f85d3b4f4347f68f220ad5b56b73026152e9b9361bd28f1bf3bd990c6e14416051f54b990ff6159e993547838373e10d478bed6ff360afab2a7787f47 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.buster.10 Priority: optional Section: admin Source: lightgbm (2.3.0+debian-1) Maintainer: Adam Cecile Installed-Size: 2752 Depends: libboost-filesystem1.67.0, libboost-system1.67.0, libc6 (>= 2.27), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libopenmpi3, libstdc++6 (>= 6), ocl-icd-libopencl1 | libopencl1, 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.buster.10) Filename: pool-buster/lightgbm/lightgbm_2.3.0+debian-1+Debian.buster.10_amd64.deb Size: 807706 MD5sum: 60b63bbbf257675d6d3513a15eb551d5 SHA1: 0efedcbfe5500f71e9bdf4c65886bb47c23c077b SHA256: 5d52572d224e26ede7509d7774a34b60a900d8dcdd3e1bcdaabd3a2f3877c93b SHA512: 669fbdcfc8c3d2faabe2308880f5e1fde45826621237dab62546b4d24d2ba6d7de40dc881ee2ce47485c4ccd06a785015710b4b075c0b6f2352bffe1486ec09d 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.buster.testing 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-buster/lightgbm/python-lightgbm_2.0.7+debian-2+Debian.buster.testing_all.deb Size: 32574 MD5sum: 2e28378fbb3a7875b203640183065a72 SHA1: fdb9112d7005f66e3dc4a658770ee17646782e17 SHA256: a0da8df8cf6b308bb7dca8aa7b0f16d15bb156fb70c2884e11ae4018e1318411 SHA512: 6773f78f2cad8fcaca6aaeecdcdb3912670cb3f1cbd8e65b6861bb682803ed5790e82e1a3a6cc4d7a5ad39cc6ff411f6dc52239035bef5b54922983cbf8c7714 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.buster.testing 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-buster/lightgbm/python-lightgbm_2.0.8+debian-1+Debian.buster.testing_all.deb Size: 32572 MD5sum: 115635c226ab4bc833c4cfb8679c08ae SHA1: d0cab9bf7cc593f399d8e2a411db6424ea21f20e SHA256: e435c1870dbb7074d4d888b5c92cd7ba2ddce23c797cb5b1ebbbc100676e2c4d SHA512: c478082ef540dc14886b88044e953191464df89596484130c244efd750420a1fd5efee0f18675b7b308049281020463d9a0fcec40b94105793a00730142622c9 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: 2.2.1+debian-1+Debian.buster.testing Priority: optional Section: python Source: lightgbm (2.2.1+debian-1) Maintainer: Adam Cecile Installed-Size: 222 Depends: python-numpy, python-scipy, python-sklearn, python:any (<< 2.8), python:any (>= 2.7~), liblightgbm (>= 2.2.1+debian-1), liblightgbm (<< 2.2.1+debian-1.1~) Filename: pool-buster/lightgbm/python-lightgbm_2.2.1+debian-1+Debian.buster.testing_all.deb Size: 38122 MD5sum: 0f48392320f41427202454df5d7af54d SHA1: c04f3b2b62ec8852f0cc7c8621fb611a3c4ba40b SHA256: 5c87af0a1e955c70009d7c7d10fd46777200697611eac8e2ab5cd321dfd7ddac SHA512: 185bf7a0854cef3cd8b5fa38fff742d2e8655538b11218acd2fec5eab5ae8ec39c7e5740121eafd9bd9b3762f993a798319fcedbe10dc44dc04c060fff71ef72 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.buster.testing 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~), liblightgbm (>= 2.2.3+debian-1), liblightgbm (<< 2.2.3+debian-1.1~) Filename: pool-buster/lightgbm/python-lightgbm_2.2.3+debian-1+Debian.buster.testing_all.deb Size: 39238 MD5sum: 7bb2ef0ff4d22920cc1126e1a6d6ea87 SHA1: deb03c7a1cb5d38d32f686317a27b45dd71b859c SHA256: 8020a8641ac1733fa28548cefb5ba7ebe343e7ad5f18f7ced79653b27d9f105b SHA512: bd79f4d8505c5e3b793ca3b851310aeddd8a1cf7a469a69f53884c42c758766bda614fcb45e4d5219c20c0c507adc886cd968366ff13bc0a85b2972252c4b5b8 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.buster.10 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~), liblightgbm (>= 2.3.0+debian-1), liblightgbm (<< 2.3.0+debian-1.1~) Filename: pool-buster/lightgbm/python-lightgbm_2.3.0+debian-1+Debian.buster.10_all.deb Size: 42994 MD5sum: 763f238c4be9c967f7a417022ea569da SHA1: fc7c1adb17c587bdc4e8ee8576c1277bdc855a8c SHA256: dd6c4fed39080df92d6bd64e5cdfd54bccd06cfc393f4fde659836652e665a6b SHA512: 20355f7b4d078bd1d9e67f803fed8b3ddd09f1b44531cb0a4c25622e79d989aff1d6953f33a1ce753e4689bdf3a5ec425f4e636cb403b8090e784308bbb5d822 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. . 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 Python2 module. Package: python3-lightgbm Architecture: all Version: 2.0.7+debian-2+Debian.buster.testing 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-buster/lightgbm/python3-lightgbm_2.0.7+debian-2+Debian.buster.testing_all.deb Size: 32660 MD5sum: bf4fdfa02df43fc8086bb47b6b44c2c7 SHA1: 474053b81e46d9fa5ae126481d5127d8dbb72480 SHA256: 9ae33b402a01c5bf4998411938e138d4408ab7559795c547a4e18eb2d77bde4d SHA512: 3c0abb883102cfb31e834fcd00a348128525767e31ed7f918ba53eba9e354114345274f0d1d921c80a51fd26cf6ee8c5a880491355e6162b9a26b754998874fc 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.buster.testing 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-buster/lightgbm/python3-lightgbm_2.0.8+debian-1+Debian.buster.testing_all.deb Size: 32642 MD5sum: f18bd4ec6db1c3bfa6e03dbe2083b741 SHA1: 15a8879f11538a7eff6768a8cb072b73374c7868 SHA256: 54e3f51f589cd315c5ee66f043a0f61b2ebecfb8a5f8fcc2d2d1ee3b65e0f2b6 SHA512: 1dabc386ba21f86b7b7db5da003871d38e37f8e671d6bdfde94c3ba8958ab93929ec50fa5e96e8c6a6e0c15fa37eca72a50eeaec2f37dcd9ce5cd9d4e270fe0b 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.buster.testing 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-buster/lightgbm/python3-lightgbm_2.2.1+debian-1+Debian.buster.testing_all.deb Size: 38230 MD5sum: 422cfab092effb3dfd624cb3e738c734 SHA1: b99b4fbaaa23893a26573e24bdd6832aefc12fca SHA256: 3b063bd8064234ff4aa7f44178ccfe0aa824e9ff35939b63ddca91638abc8d80 SHA512: 263ad57bdddec7924ab64ab9f01f026631c5983e718a19290f08bdeeb232f00903585d0790e0a900bd7daef230c0eee14c287e44789aa8b6e32a8af79da418b4 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. . 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 Python3 module. Package: python3-lightgbm Architecture: all Version: 2.2.3+debian-1+Debian.buster.testing 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-buster/lightgbm/python3-lightgbm_2.2.3+debian-1+Debian.buster.testing_all.deb Size: 39310 MD5sum: b93edd39308acc581f019e7b81f235c3 SHA1: f2414727fbb3c393b72cb273ca30de4a34ec42cd SHA256: ac0ce5ee61a58432b15934b7563ce514c04a3762330807ae341273daf66a6f15 SHA512: b879e7abc0092fece64a8bf70200eb6b3c61bc36e8b752c5e09ec1d9160666c303bd0f66d6ab41ba618e6cd3c288831eb37750cbbda4aa5d0ae749afd6d0f571 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.buster.10 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-buster/lightgbm/python3-lightgbm_2.3.0+debian-1+Debian.buster.10_all.deb Size: 43098 MD5sum: 308719aa83fa94c933bcbf7e94184660 SHA1: ae0c6be8c3cda249149f0c607fb82589b6f4b6fe SHA256: 9313b30992786416b5440a52f78e193e3484c559340a541616e99de7db3e93e3 SHA512: 78a6a8b3b9d8a92f73b56ff4a88e6627c48a58fd24f07e7ab8ae16ad882912cb1a3ec3d204c736ffeaa1f85991c97189bda123c732a9d2ea9fa26dd516089dea 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.buster.testing Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: lightgbm (2.0.7+debian-2) Maintainer: Adam Cecile Installed-Size: 5162 Depends: r-lightgbm (= 2.0.7+debian-2+Debian.buster.testing) Filename: pool-buster/lightgbm/r-lightgbm-dbgsym_2.0.7+debian-2+Debian.buster.testing_amd64.deb Size: 5071752 MD5sum: 92e3b1afafcc638b6174674f65b77189 SHA1: e4709969ad0d0c7eb8c8bf1f99de91b9281b8c3d SHA256: 7e9464edaa0b36e7ff30d63e4c741edeba60ab00e2729cf4632385d6bbbed146 SHA512: 74f7958278f260f4c79134d98122f060494045cf9518856c41b22fd393551888a131d17ce14bc476631a7d9be4685dbf2a76898d0eca3f60f702b6f1979a72a4 Description: debug symbols for r-lightgbm Build-Ids: 868fa601b009c048759b443122c999a212f33839 Package: r-lightgbm-dbgsym Architecture: amd64 Version: 2.0.8+debian-1+Debian.buster.testing Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: lightgbm (2.0.8+debian-1) 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pool-buster/lightgbm/r-lightgbm-dbgsym_2.2.1+debian-1+Debian.buster.testing_amd64.deb Size: 11002540 MD5sum: 56267825884f75a4568b0ab9f4d784f8 SHA1: 0e450460fc291ed5f8dcdc012c2c8a97b07e851b SHA256: 3eabee5d7e107956cd4885cb846561503b626861c54c450ebe46abcf4801686d SHA512: 07a59747932a7fbfa0ee2f916089ccb8822332b60a1503975f4c976f73f2814aa47119cb69e997bc6f33ed8a35bef0ee2246f2ae0bd3fa5343fb81abbd0237ad Description: debug symbols for r-lightgbm Build-Ids: 0946c41d681b4758f932c22212ba3d16742f4684 Package: r-lightgbm-dbgsym Architecture: amd64 Version: 2.2.3+debian-1+Debian.buster.testing Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: lightgbm (2.2.3+debian-1) Maintainer: Adam Cecile Installed-Size: 11814 Depends: r-lightgbm (= 2.2.3+debian-1+Debian.buster.testing) Filename: pool-buster/lightgbm/r-lightgbm-dbgsym_2.2.3+debian-1+Debian.buster.testing_amd64.deb Size: 11540828 MD5sum: 03f7c718907b5ebe92fb1b0eef2e1471 SHA1: d78d7ad20a841103471859a3aadd3b5e6d8ff744 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Description: debug symbols for r-lightgbm Build-Ids: 083e9880a5360c9e0c661419bdb15833c426b935 Package: r-lightgbm Architecture: amd64 Version: 2.0.7+debian-2+Debian.buster.testing Priority: optional Section: gnu-r Source: lightgbm (2.0.7+debian-2) Maintainer: Adam Cecile Installed-Size: 1667 Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libstdc++6 (>= 6), r-base-core (>= 3.4.2-1), r-api-3.4, 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-buster/lightgbm/r-lightgbm_2.0.7+debian-2+Debian.buster.testing_amd64.deb Size: 674870 MD5sum: ab4c6919968fca7551267798e6d6ede0 SHA1: 31731329d9690bd15cfe1050fdf8ffe7266873be SHA256: cb6256d96cb2042584f3d8f28e06da169366dfc2302bd5afd807174f3a934a7b SHA512: f07ba7d931a9d307e3e061eebc357d787fa2eedd987c15070af3ec037bd9921e99ac7961c101f1fdf1e60b4b4bb004a3ab2bee912d742c9522fbd3042a1e8d02 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: r-lightgbm Architecture: amd64 Version: 2.0.8+debian-1+Debian.buster.testing Priority: optional Section: gnu-r Source: lightgbm (2.0.8+debian-1) Maintainer: Adam Cecile Installed-Size: 1688 Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libstdc++6 (>= 6), r-base-core (>= 3.4.2-1), r-api-3.4, 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-buster/lightgbm/r-lightgbm_2.0.8+debian-1+Debian.buster.testing_amd64.deb Size: 679746 MD5sum: 53bd8e5a500e55904ce0cd72071b113a SHA1: 28b1eade575986511721a149612e7f784e82097e SHA256: 27119b0a7b4259baced9b79bea4ada641b1259c06c329659acbc9d6595d64ab4 SHA512: b6f47d5a9d28bcece1b016910bf79146bd9c0431ae87c113a4b471cf8a374f67d46de27a81037a0f1d343cd740e662e610e1c61dd9c96d9f92b4c79dd89efee3 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: r-lightgbm Architecture: amd64 Version: 2.2.1+debian-1+Debian.buster.testing Priority: optional Section: gnu-r Source: lightgbm (2.2.1+debian-1) Maintainer: Adam Cecile Installed-Size: 3155 Depends: libboost-filesystem1.62.0, libboost-system1.62.0, libc6 (>= 2.27), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libopenmpi3, 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, r-base-core (>= 3.5.1-1), r-api-3.5, 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-buster/lightgbm/r-lightgbm_2.2.1+debian-1+Debian.buster.testing_amd64.deb Size: 1196560 MD5sum: fd1dfb6c4c14a9ae80a751f0f2afa849 SHA1: ec256e0b886ab3ee8f5d546b3de4a23188ff99cb SHA256: 25635751af3f9b1baa4e17362ca02705282b6ed3ad92109eb47efdb361e50bdb SHA512: bc4e8952439beca88c3fbe8610aca7a2604569db6013917a926d859e559878731e71dc8227e33713ebfe9db91fb64285341ce57cfdf49802014096b52ca8211a 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: 2.2.3+debian-1+Debian.buster.testing Priority: optional Section: gnu-r Source: lightgbm (2.2.3+debian-1) Maintainer: Adam Cecile Installed-Size: 3367 Depends: libboost-filesystem1.67.0, libboost-system1.67.0, libc6 (>= 2.27), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libopenmpi3, libstdc++6 (>= 6), ocl-icd-libopencl1 | libopencl1, ocl-icd-libopencl1 (>= 1.0) | libopencl-1.2-1, ocl-icd-libopencl1 (>= 2.2.0) | libopencl-2.0-1, r-base-core (>= 3.5.2-1), r-api-3.5, 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-buster/lightgbm/r-lightgbm_2.2.3+debian-1+Debian.buster.testing_amd64.deb Size: 1250648 MD5sum: f5db09b02eee9e5ae9da573cbe0eebf9 SHA1: 0b20f44fb7e66cf8982cc38ec079b94dc6638d8b SHA256: 7c0451ec380f7ade2e840975273166b91d6e35237739d171d7216eb0afefe843 SHA512: 5008bfa423218ebf59fb8274371f7831b1b473a31a9683f623de2daea0c7370692a5c1add9e9996179e8ea09fc30bc3359db7d092b071ee8b415c05429dd7c33 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: r-lightgbm Architecture: amd64 Version: 2.3.0+debian-1+Debian.buster.10 Priority: optional Section: gnu-r Source: lightgbm (2.3.0+debian-1) Maintainer: Adam Cecile Installed-Size: 3481 Depends: libboost-filesystem1.67.0, libboost-system1.67.0, libc6 (>= 2.27), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libopenmpi3, libstdc++6 (>= 6), ocl-icd-libopencl1 | libopencl1, ocl-icd-libopencl1 (>= 1.0) | libopencl-1.2-1, ocl-icd-libopencl1 (>= 2.2.0) | libopencl-2.0-1, r-base-core (>= 3.5.2-1), r-api-3.5, 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-buster/lightgbm/r-lightgbm_2.3.0+debian-1+Debian.buster.10_amd64.deb Size: 1291412 MD5sum: 78e249ad3e0c80d0e5a7fc2c74e0048e SHA1: d61a3627c3d805f2b5d14505074b3e398312f6a0 SHA256: 174cb2330dbc9924e50bf0b46f28c2d50ca5b2afbc693bbf4349904e0a7e3794 SHA512: 6f96889059e6a47fa971ce55d0ae9a862e9bcb5b337e80e18a8e437afdc5a5a77835e99a3103ccba4f32ae64a6b992fbd19320656667e0127ebdad6197fb11f8 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: libmkldnn-docs Architecture: all Version: 0.10+20170913.b01e3a5-2+Debian-buster-testing Priority: optional Section: doc Source: mkl-dnn (0.10+20170913.b01e3a5-2) Maintainer: Adam Cecile Installed-Size: 6880 Suggests: libmkldnn-dev (= 0.10+20170913.b01e3a5-2+Debian-buster-testing) Filename: pool-buster/mkl-dnn/libmkldnn-docs_0.10+20170913.b01e3a5-2+Debian-buster-testing_all.deb Size: 1185732 MD5sum: 211132d32a2658c8b53b16bc9ef41ee1 SHA1: 3a45d24c9731a020ae3a3f0992cd9e3b7ca5933a SHA256: 9c104d16ff466c7ea7a717d2d989ccfd581f455d641e945971030c4ab8840131 SHA512: f53f76787ec4deffcc6939e145cf6bf243f35be12e77dcb74c91c970fb6392486e90fea8c1183ed29d196761c31868d0ca38feb5b5e5b3b2e96e909ec42a9f9e 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-docs Architecture: all Version: 0.13-1+Debian-buster-testing Priority: optional Section: doc Source: mkl-dnn (0.13-1) Maintainer: Adam Cecile Installed-Size: 7863 Suggests: libmkldnn-dev (= 0.13-1+Debian-buster-testing) Filename: pool-buster/mkl-dnn/libmkldnn-docs_0.13-1+Debian-buster-testing_all.deb Size: 1436700 MD5sum: 0d5e9638e76308ab84e0143b78b04ddc SHA1: e73a1862157e83a7f79d6d1fec64c8cbb2ee0b7e SHA256: 9d351fcd4d8babc2f52c539f89905d2e345e1a4983857cbd238c0ca285bcc96d SHA512: 1df17ecb9e085d68a60f3957bb4a398f78a7f374330cace06d0384fd12ee421c146c9474e4388f4cf660cd549f509df2b9e89f55b63f40b8d576ea847cf64242 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-docs Architecture: all Version: 0.16-1+Debian.buster.testing Priority: optional Section: doc Source: mkl-dnn (0.16-1) Maintainer: Adam Cecile Installed-Size: 10338 Suggests: libmkldnn-dev (= 0.16-1+Debian.buster.testing) Filename: pool-buster/mkl-dnn/libmkldnn-docs_0.16-1+Debian.buster.testing_all.deb Size: 2020440 MD5sum: 0b9ad6a21d2d125c1b253d2ad38a50f6 SHA1: c3b94a46109302e7938200a70357d945d85521e6 SHA256: 6a19bbda48c4ac88ca233b91fc69b86b398fe68fae45d2c89551bbdf27c8835a SHA512: 43b392d54cce553131866ad53b2c6a253efe8ff09945ad933bb0d24c9d8c4f6ec7825f523404c20a5af8bf394aaf5b504bdd7bfc3eff124e77d76035c27da8ec 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-docs Architecture: all Version: 0.17.2-1+Debian.buster.testing Priority: optional Section: doc Source: mkl-dnn (0.17.2-1) Maintainer: Adam Cecile Installed-Size: 11347 Suggests: libmkldnn-dev (= 0.17.2-1+Debian.buster.testing) Filename: pool-buster/mkl-dnn/libmkldnn-docs_0.17.2-1+Debian.buster.testing_all.deb Size: 2305108 MD5sum: 8897453572b82a6e85b077bc40ab6053 SHA1: 5976762de4435b93bb4a687d1fccf45f385876b9 SHA256: a29c6b46b3699d4ee9ca77b188e9c499d3c9dc0746f7b03a586c0a2c51cd55c0 SHA512: a33afc2ef5ee30cde8268d3da62995de050bbcfb68f390cc07d6b58f5d81f9e686153d567eb540a1517b58f8fb6baa8000cc4688ae0552db2e55f62a3e4e2acd 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-buster-testing 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-buster-testing) Depends: libmkldnn0-free (= 0.10+20170913.b01e3a5-2+Debian-buster-testing), libmkldnn-docs (= 0.10+20170913.b01e3a5-2+Debian-buster-testing) Conflicts: libmkldnn-nonfree-dev Filename: pool-buster/mkl-dnn/libmkldnn-free-dev_0.10+20170913.b01e3a5-2+Debian-buster-testing_amd64.deb Size: 20970 MD5sum: 2663f7d5bbb7c44ad1d0d7c18607b992 SHA1: ff930f1198cd1b8953024f05c81412b43eb8e969 SHA256: 8d34027b468d1f4fa1f6801ae3633bb77307c8cbe28d05fe1e9d2f306b4ce072 SHA512: 61fa7be203d7f4721387b7d57a589f89012504dddac1c29c741f56f3591a2dbd03e6098f47c1d3a1e5b2f0ac37a1370078d0c406f73382db5f492f732034d6af 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-buster-testing Priority: optional Section: libdevel Source: mkl-dnn (0.13-1) Maintainer: Adam Cecile Installed-Size: 211 Provides: libmkldnn-dev (= 0.13-1+Debian-buster-testing) Depends: libmkldnn0-free (= 0.13-1+Debian-buster-testing), libmkldnn-docs (= 0.13-1+Debian-buster-testing) Conflicts: libmkldnn-nonfree-dev Filename: pool-buster/mkl-dnn/libmkldnn-free-dev_0.13-1+Debian-buster-testing_amd64.deb Size: 25848 MD5sum: c3429b847c83302f50b2fe60f16eb9d1 SHA1: e9a5ee52d68b7298715247bb9a0a067210332074 SHA256: 5e52abbea473918c09f1238524b6fd9ac0923558e81fe99e608f79a485bf90d2 SHA512: 91ae2f05598f4a10cbd7cf2063e332f622a6a73923ec3aca509c6fa04336b9d7ef3524fa68cb8e05fdecf06d6bf51baadbcd122c3f554ade914cadd89723ec71 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.buster.testing Priority: optional Section: libdevel Source: mkl-dnn (0.16-1) Maintainer: Adam Cecile Installed-Size: 287 Provides: libmkldnn-dev (= 0.16-1+Debian.buster.testing) Depends: libmkldnn0-free (= 0.16-1+Debian.buster.testing), libmkldnn-docs (= 0.16-1+Debian.buster.testing) Conflicts: libmkldnn-nonfree-dev Filename: pool-buster/mkl-dnn/libmkldnn-free-dev_0.16-1+Debian.buster.testing_amd64.deb Size: 30540 MD5sum: 7a24a1996147cdef0b289cdebed5d26e SHA1: 14a183e64342d1aa1c06622832fbc051fc11454c SHA256: 1d16ccebef29692323f9b9e9cef598519c3dd34a0ff071990c20f83f906329fe SHA512: cf4dc16dff098c1fe9327797baeb46f78c26eb4c26ada71f84ef3f6974dd07c5f9954b716cbc21f78583cebe0a53fcc80b46790b73696cc3adf5c0f301ef84fe 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.buster.testing 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.buster.testing) Depends: libmkldnn0-free (= 0.17.2-1+Debian.buster.testing), libmkldnn-docs (= 0.17.2-1+Debian.buster.testing) Conflicts: libmkldnn-nonfree-dev Filename: pool-buster/mkl-dnn/libmkldnn-free-dev_0.17.2-1+Debian.buster.testing_amd64.deb Size: 35008 MD5sum: 5dc18b5836322bc32f08088dc23467e6 SHA1: 8b4469a1f204dc0ba15710631679d75a28e11e7b SHA256: e9a6255ecf3b8c22151df19bcea112760c85e2970129b3bd3b4caaf9ac90a19b SHA512: a9de6605f0fd050197779e43907932facaa25520d3dc31a2cc22f17d8ddf2436a5f8f7a2a5d7e4a760c9f86e05fa7b41035668ea909ccfe716d8dcf85c0ecb6c 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-buster-testing 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-buster-testing) Depends: libmkldnn0-nonfree-mkl (= 0.10+20170913.b01e3a5-2+Debian-buster-testing), libmkldnn-docs (= 0.10+20170913.b01e3a5-2+Debian-buster-testing) Conflicts: libmkldnn0-free-dev Filename: pool-buster/mkl-dnn/libmkldnn-nonfree-dev_0.10+20170913.b01e3a5-2+Debian-buster-testing_amd64.deb Size: 175436 MD5sum: 31a2001cdd98c7280f9c5b5b222973c9 SHA1: 43718bbfdf75a75e306421b5ba4eb23f4dfd3c1f SHA256: ff435c30b2730eaccfcf32183998ec60ecdb161a595c8dbd366831ad5c2ae206 SHA512: 422a4bc85bd3f2364a5f2e6bba23a51df7608a5a63bb459b73d43041f7f9b1733d2dee7ad06397bc318ceb1b6aa6a5787bc66cb1eee23cf7af0ed058440c3a66 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-buster-testing Priority: optional Section: libdevel Source: mkl-dnn (0.13-1) Maintainer: Adam Cecile Installed-Size: 3705 Provides: libmkldnn-dev (= 0.13-1+Debian-buster-testing) Depends: libmkldnn0-nonfree-mkl (= 0.13-1+Debian-buster-testing), libmkldnn-docs (= 0.13-1+Debian-buster-testing) Conflicts: libmkldnn0-free-dev Filename: pool-buster/mkl-dnn/libmkldnn-nonfree-dev_0.13-1+Debian-buster-testing_amd64.deb Size: 179774 MD5sum: 3a2ab40db260fc6c73c76cd12af7fa04 SHA1: ce92e8b278efbae5bc4a49cd242d572142558aa2 SHA256: 7471d0eff29749e4f6a3c9bdffbf791a3d03453f1c0d3bd9df1c65123fb8eda5 SHA512: 002c742f3be323e5c9372a70b275e6c195a8b0a7b9e0bb0debeaf9b8f4bddf9cc045a11affd39a94abc84699dd9f25cf8d988a740a37d8eb803768cb0c9796ed 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.buster.testing Priority: optional Section: libdevel Source: mkl-dnn (0.16-1) Maintainer: Adam Cecile Installed-Size: 4378 Provides: libmkldnn-dev (= 0.16-1+Debian.buster.testing) Depends: libmkldnn0-nonfree-mkl (= 0.16-1+Debian.buster.testing), libmkldnn-docs (= 0.16-1+Debian.buster.testing) Conflicts: libmkldnn0-free-dev Filename: pool-buster/mkl-dnn/libmkldnn-nonfree-dev_0.16-1+Debian.buster.testing_amd64.deb Size: 207442 MD5sum: b8b2b987a927f97dabc19a73d87e7b09 SHA1: 80070fa95752a4c6b0b2c8f12db73a1fcb8b972c SHA256: 4b67bbc857b539847f3280810fc221774df2611290849c73793f29c06bb6e9cc SHA512: 9e095ab49ad1d97412a795931757c4f120172972e21b7fd20b3693e4f04a2fc680b51daebc0e10392b19442183d10b258cf16b0ae778c73a7a438bba73a033af 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.buster.testing 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.buster.testing) Depends: libmkldnn0-nonfree-mkl (= 0.17.2-1+Debian.buster.testing), libmkldnn-docs (= 0.17.2-1+Debian.buster.testing) Conflicts: libmkldnn0-free-dev Filename: pool-buster/mkl-dnn/libmkldnn-nonfree-dev_0.17.2-1+Debian.buster.testing_amd64.deb Size: 212170 MD5sum: 160bf8be763ab01b193ec125928dd103 SHA1: 81c7295e6a0d55e70564d2a7ea666e0f0731a452 SHA256: b9dcd7cb88b40102103da0cb0101235e1cbe34450499acb91cb039a35eee2680 SHA512: 99dedb6660f03f6536a78ff64ee75d4b8f29b44d1a0d6f1eca83aa3627d1d99bed78c8e549f7613731acf2c16f0e257c72a9241ec274d94ba1a3b886f506129d 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-buster-testing Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: mkl-dnn (0.10+20170913.b01e3a5-2) Maintainer: Adam Cecile Installed-Size: 11563 Depends: libmkldnn0-free (= 0.10+20170913.b01e3a5-2+Debian-buster-testing) Filename: pool-buster/mkl-dnn/libmkldnn0-free-dbgsym_0.10+20170913.b01e3a5-2+Debian-buster-testing_amd64.deb Size: 10395900 MD5sum: 5b5b6786535f51851048f7a2222fae05 SHA1: 5aa2823609ee43f859cf793f74ddf138a0c7a0b1 SHA256: a4170d2e290271a5ff33fc48b724e40cdc364d7c18474c6fc8be109636fe523f SHA512: eeefe4cb1afdb65abfe191de6ae080f1bc0c9551e638048c71384cc91f20bdc714dc19281cb7bf191c49c71aa1824ce63b08d94625f2c15d9168b28760266933 Description: debug symbols for libmkldnn0-free Build-Ids: 32e467977f5b004ccb15d4f7f90484ae2aa22d36 Package: libmkldnn0-free-dbgsym Architecture: amd64 Version: 0.13-1+Debian-buster-testing Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: mkl-dnn (0.13-1) Maintainer: Adam Cecile Installed-Size: 16317 Depends: libmkldnn0-free (= 0.13-1+Debian-buster-testing) Filename: pool-buster/mkl-dnn/libmkldnn0-free-dbgsym_0.13-1+Debian-buster-testing_amd64.deb Size: 14183080 MD5sum: e6a3f2bd14350eddbe01d26fe350b51a SHA1: 6e1bde3aeec8765113e9fca43f139e45d00a0bcb SHA256: cc367ac754a054abd057b8bd81e04d1f3a05a060c1db25189f0fb3c94dbecc79 SHA512: 6453149c14d8b4d20b2df5f768662255aea6da2f3fda5f8870489eeda8a79d6524526dc61a6bd48a02d8207821c2015dc3f4bb13e57f7f15e8b01330ef785b8e Description: debug symbols for libmkldnn0-free Build-Ids: 8d2966e83c041a0676e4589551b3c2bedfb137ef Package: libmkldnn0-free-dbgsym Architecture: amd64 Version: 0.16-1+Debian.buster.testing Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: mkl-dnn (0.16-1) Maintainer: Adam Cecile Installed-Size: 27101 Depends: libmkldnn0-free (= 0.16-1+Debian.buster.testing) Filename: pool-buster/mkl-dnn/libmkldnn0-free-dbgsym_0.16-1+Debian.buster.testing_amd64.deb Size: 24364948 MD5sum: 289f94fa19608bbdab7a457633672934 SHA1: e3efb94574f2b2603b549a18d71349ebc38279b8 SHA256: afabe30d175bc9dc8ffdcd6ef79f266938fb6ba350df66b5c5079e5d0bce74e7 SHA512: f2625d07a25c1208085ad6ee6baa2bee9dba3c00187125b15bc441dfc3bc6af3ebead75ef034540b3405582b7ae9721b3ce244f306e653c696143f37a8a6ad63 Description: debug symbols for libmkldnn0-free Build-Ids: 724a312a698cd59130c8e4eacd23b0f116e912fc Package: libmkldnn0-free-dbgsym Architecture: amd64 Version: 0.17.2-1+Debian.buster.testing Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: mkl-dnn (0.17.2-1) Maintainer: Adam Cecile Installed-Size: 34496 Depends: libmkldnn0-free (= 0.17.2-1+Debian.buster.testing) Filename: pool-buster/mkl-dnn/libmkldnn0-free-dbgsym_0.17.2-1+Debian.buster.testing_amd64.deb Size: 30295676 MD5sum: 1b3852a4d6bb768f3a1d9479de8c73c7 SHA1: 9b69b465d56e1ccb79fd3765e716cd988bb58b0f SHA256: 228733f5ad106f9b9867a5484a5d74323948ed2692add4ccf3d02c1f65f20299 SHA512: ed4a5de0523d54a74e0eb5d4b049dc9737a955723b9083654057e2c58f4e20cc15615e022861fb696ad1b263d1ef93a7b98afd496523c9883545d93f0900786a Description: debug symbols for libmkldnn0-free Build-Ids: e7d1ce6576a97b561a6091f77a4957d500d6619b Package: libmkldnn0-free Architecture: amd64 Version: 0.10+20170913.b01e3a5-2+Debian-buster-testing Priority: optional Section: libs Source: mkl-dnn (0.10+20170913.b01e3a5-2) Maintainer: Adam Cecile Installed-Size: 3026 Provides: libmkldnn0 (= 0.10+20170913.b01e3a5-2+Debian-buster-testing) Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libstdc++6 (>= 5.2), libmkldnn-docs (= 0.10+20170913.b01e3a5-2+Debian-buster-testing) Conflicts: libmkldnn0-nonfree-mkl Filename: pool-buster/mkl-dnn/libmkldnn0-free_0.10+20170913.b01e3a5-2+Debian-buster-testing_amd64.deb Size: 583964 MD5sum: be741923f9e79712403ed4c7a03a8611 SHA1: 8ccfd99b55d018d3928a16b49120bbd17666ea38 SHA256: f615c10c7cd109d89827ec3b24c198fe3cee771ed709f081820cd01fdc67194a SHA512: 72fcf545ed455047e7816669622b17d780f3d06ec03db3644231ef964448149d2fd8986426a6a89a5419bf27f0b2c25cee6ea7b4fd312e2a30e637fceb4e9c3c 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-buster-testing Priority: optional Section: libs Source: mkl-dnn (0.13-1) Maintainer: Adam Cecile Installed-Size: 4870 Provides: libmkldnn0 (= 0.13-1+Debian-buster-testing) Depends: libc6 (>= 2.27), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libstdc++6 (>= 5.2), libmkldnn-docs (= 0.13-1+Debian-buster-testing) Conflicts: libmkldnn0-nonfree-mkl Filename: pool-buster/mkl-dnn/libmkldnn0-free_0.13-1+Debian-buster-testing_amd64.deb Size: 837790 MD5sum: 6a374fdeb6a58a12b76974e585a7bcc4 SHA1: 6a4c4cc38ad59d53e7c10ca1f1720a385f6d9b6f SHA256: 8d9840114fc68dea3db07e1422bd0eb44313692e10bb6156b00ed80ca2901ba5 SHA512: 77ce7fac49b6e9c5fab979f8d68fbaa94734c14b40ca4ffa4d477131348e90fa0f5feba3d5b61a2bfad4affcbb6a93a94c95e532a050917102ab92a4d38c933b 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.buster.testing Priority: optional Section: libs Source: mkl-dnn (0.16-1) Maintainer: Adam Cecile Installed-Size: 5122 Provides: libmkldnn0 (= 0.16-1+Debian.buster.testing) Depends: libc6 (>= 2.27), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libstdc++6 (>= 5.2), libmkldnn-docs (= 0.16-1+Debian.buster.testing) Conflicts: libmkldnn0-nonfree-mkl Filename: pool-buster/mkl-dnn/libmkldnn0-free_0.16-1+Debian.buster.testing_amd64.deb Size: 1015866 MD5sum: 8569bcf6cd41c525c343c0538d5df719 SHA1: fd2f62bb2577e1ede8a1813b81ef247c3df48e98 SHA256: 8e60e9559f50efaad2d920663091d11293d6e3323c1c6328155b53928d6f593a SHA512: cf2a2cbc1e735535ed43e140564076d56bf1d180e0177838ca58f76e6ad3b469f1b0bd0a92f272b14b43062e310ede5c6f2cd841842d0a0e189a934a2d90c25d 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.buster.testing Priority: optional Section: libs Source: mkl-dnn (0.17.2-1) Maintainer: Adam Cecile Installed-Size: 6789 Provides: libmkldnn0 (= 0.17.2-1+Debian.buster.testing) Depends: libc6 (>= 2.27), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libstdc++6 (>= 4.8), libmkldnn-docs (= 0.17.2-1+Debian.buster.testing) Conflicts: libmkldnn0-nonfree-mkl Filename: pool-buster/mkl-dnn/libmkldnn0-free_0.17.2-1+Debian.buster.testing_amd64.deb Size: 1193778 MD5sum: f08374ca5ad5fd04ed7a3643a7c26b9d SHA1: 2ec417b3a23673355b12318239c3abdf595b71ed SHA256: 13501fbbae881c4e622787ee99d838e850f81f80b3bd89e1443ef1150748dfc9 SHA512: 284f51b97ce63256f95849fbb0566c4518d41b37d5b9472de9639bb95a4bcdf6878553e168a326515bd1d0f669bac774bf967e1c9727f5676cf1f4a1673aa996 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-buster-testing Auto-Built-Package: debug-symbols Priority: optional Section: non-free/debug Source: mkl-dnn (0.10+20170913.b01e3a5-2) Maintainer: Adam Cecile Installed-Size: 11605 Depends: libmkldnn0-nonfree-mkl (= 0.10+20170913.b01e3a5-2+Debian-buster-testing) Filename: pool-buster/mkl-dnn/libmkldnn0-nonfree-mkl-dbgsym_0.10+20170913.b01e3a5-2+Debian-buster-testing_amd64.deb Size: 10430202 MD5sum: 631d407d4d728cb3da96e5156da636f2 SHA1: 84cee5d87a2f9838cc16a1c1b88771a16a340a5f SHA256: f1601ca75e3cd5f2a8962c84493fe0eb79a19401507ced085b69cc498716471a SHA512: c66eb67a24c9c99c138dcc17fe0cadb59c83a55c5150c9b6ea553a4b9f6147c942d9db116f0c514716e7d4704a1c406d7d2e566c996a4adef624d1ee377f9e3c Description: debug symbols for libmkldnn0-nonfree-mkl Build-Ids: d9f36d0c1fdae769eca9ffaf6dcde7fdc52f36b8 Package: libmkldnn0-nonfree-mkl-dbgsym Architecture: amd64 Version: 0.13-1+Debian-buster-testing Auto-Built-Package: debug-symbols Priority: optional Section: non-free/debug Source: mkl-dnn (0.13-1) Maintainer: Adam Cecile Installed-Size: 16377 Depends: libmkldnn0-nonfree-mkl (= 0.13-1+Debian-buster-testing) Filename: pool-buster/mkl-dnn/libmkldnn0-nonfree-mkl-dbgsym_0.13-1+Debian-buster-testing_amd64.deb Size: 14231148 MD5sum: b0b5b655d62589134bff8986d3a92847 SHA1: ff7d78e495bade5a686adb8def0128638e3303f5 SHA256: c45c7fe4f0275a457a8475fd9eb01cb8da052db74bca1efd7953a2b839980c28 SHA512: cd59be3ef552a6f919bfb1e6c1c14dffe0346895c58822e553063e16f4f817a73c32f71061b23927c6be90c2c0e2d3f5729d72a9f0aa5613fcaaaf847558d85d Description: debug symbols for libmkldnn0-nonfree-mkl Build-Ids: 9bfa51970c3878e31f5ca5e65a611a9a34063dc0 Package: libmkldnn0-nonfree-mkl-dbgsym Architecture: amd64 Version: 0.16-1+Debian.buster.testing Auto-Built-Package: debug-symbols Priority: optional Section: non-free/debug Source: mkl-dnn (0.16-1) Maintainer: Adam Cecile Installed-Size: 27459 Depends: libmkldnn0-nonfree-mkl (= 0.16-1+Debian.buster.testing) Filename: pool-buster/mkl-dnn/libmkldnn0-nonfree-mkl-dbgsym_0.16-1+Debian.buster.testing_amd64.deb Size: 24425820 MD5sum: 15b06be0f6d80f6e08e8bfe9f2bd8c6c SHA1: 1b07f784f65b81d37e9c5542f2ebbc87edf132b7 SHA256: 43ae9fe53dc6aed2cb047d8274f595de47332523d4b780b50e13dbc79d60a8de SHA512: 3cc045e105b66659246c27b3d50cb43a15eeb1ff9f0ed370042556fcc448c668375b50584e80cb1210574c02988b916ff527265d86c025891b4a57360e0f01e2 Description: debug symbols for libmkldnn0-nonfree-mkl Build-Ids: 995c186d477381a60b877e261d0a1bed9d6e4a3f 9dfa23ad70f3f8f50699aac84586f3ba832b7034 Package: libmkldnn0-nonfree-mkl-dbgsym Architecture: amd64 Version: 0.17.2-1+Debian.buster.testing Auto-Built-Package: debug-symbols Priority: optional Section: non-free/debug Source: mkl-dnn (0.17.2-1) Maintainer: Adam Cecile Installed-Size: 35043 Depends: libmkldnn0-nonfree-mkl (= 0.17.2-1+Debian.buster.testing) Filename: pool-buster/mkl-dnn/libmkldnn0-nonfree-mkl-dbgsym_0.17.2-1+Debian.buster.testing_amd64.deb Size: 30491124 MD5sum: af7e0612e9ef7217c6e1482f627dbc3b SHA1: f7618084b524a73192ac4fb85b12d3ec60b7bb04 SHA256: bcf044e41b0d864623deb486be17b2c4081ef630d9993d740a6e3dcd0b1bdef5 SHA512: da37cf311acebab453128153cb7db0f1d57d8b210d371095ca76e8d6c7633b228d8ea92c241ed143ded8e2abac9858c53c03ef6f5733284689f3c11c4c65c29a Description: debug symbols for libmkldnn0-nonfree-mkl Build-Ids: 14f760823858f7b6a3205cd2513d112bc835e8a5 9dfa23ad70f3f8f50699aac84586f3ba832b7034 Package: libmkldnn0-nonfree-mkl Architecture: amd64 Version: 0.10+20170913.b01e3a5-2+Debian-buster-testing Priority: optional Section: non-free/libs Source: mkl-dnn (0.10+20170913.b01e3a5-2) Maintainer: Adam Cecile Installed-Size: 128165 Provides: libmkldnn0 (= 0.10+20170913.b01e3a5-2+Debian-buster-testing) Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), libmkldnn-docs (= 0.10+20170913.b01e3a5-2+Debian-buster-testing) Conflicts: libmkldnn0-free Filename: pool-buster/mkl-dnn/libmkldnn0-nonfree-mkl_0.10+20170913.b01e3a5-2+Debian-buster-testing_amd64.deb Size: 19518662 MD5sum: f129e1372c869d8ee1ffb48280b04df5 SHA1: 2d62ba7699402cb12d8664f50dc9e014136cd0c3 SHA256: 296fb5543943dcff8376c4d7480b5809912310d735d29cc6f5ef25a13752c029 SHA512: cc7ee0481336a22c9e4349b2acf2a1e520fee3d0b5712e1ba162f050e9bcaa3dc9f60ebf8ffa0a730434da1598dbfe7e961eb2d832ee0c85961d23f83c6ac279 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-buster-testing Priority: optional Section: non-free/libs Source: mkl-dnn (0.13-1) Maintainer: Adam Cecile Installed-Size: 150803 Provides: libmkldnn0 (= 0.13-1+Debian-buster-testing) Depends: libc6 (>= 2.27), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libstdc++6 (>= 5.2), libmkldnn-docs (= 0.13-1+Debian-buster-testing) Conflicts: libmkldnn0-free Filename: pool-buster/mkl-dnn/libmkldnn0-nonfree-mkl_0.13-1+Debian-buster-testing_amd64.deb Size: 21451828 MD5sum: 6f40c17a594fa00196b7fcf1b8966568 SHA1: 4e99d86b352f0560776517e921c510fee42d6f38 SHA256: 8b5e4d33c36ba10ea5dfac9ecc68f506d2e6ad81a6ca77ba756b9c7faff375cb SHA512: 1c63adfabf48fb33ae0bfa89d86e7daeed46415f1536f5257203641ad8b0750670c42ae78be4a91135888cc703ddc8b1236d7de6925eebf04860774c469b424f 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.buster.testing Priority: optional Section: non-free/libs Source: mkl-dnn (0.16-1) Maintainer: Adam Cecile Installed-Size: 131740 Provides: libmkldnn0 (= 0.16-1+Debian.buster.testing) Depends: libc6 (>= 2.27), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libstdc++6 (>= 5.2), libmkldnn-docs (= 0.16-1+Debian.buster.testing) Conflicts: libmkldnn0-free Filename: pool-buster/mkl-dnn/libmkldnn0-nonfree-mkl_0.16-1+Debian.buster.testing_amd64.deb Size: 21275112 MD5sum: 0b9a6d3327949aff12dd08aa81496f4a SHA1: 8e6c08b881eaf8562387c5ac414eb8a943ec3da8 SHA256: 39b7dd6f5be2cfb304344022bf608ea554dcc87087b3fd12ee0ca1eb0979fce3 SHA512: caac1758b2808d2210fb9883031c93e0c361ef434b6be85608407929e0899c20954ed1113db72ab9d66389690a3e29a9255477b5ac861461868998d739eb72bf 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.buster.testing Priority: optional Section: non-free/libs Source: mkl-dnn (0.17.2-1) Maintainer: Adam Cecile Installed-Size: 133783 Provides: libmkldnn0 (= 0.17.2-1+Debian.buster.testing) Depends: libc6 (>= 2.27), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.8), libmkldnn-docs (= 0.17.2-1+Debian.buster.testing) Conflicts: libmkldnn0-free Filename: pool-buster/mkl-dnn/libmkldnn0-nonfree-mkl_0.17.2-1+Debian.buster.testing_amd64.deb Size: 21480088 MD5sum: 048f1bc503c0e0b9a0b693248de6895d SHA1: 715d419006f6a9a63d5aad7c9cc163a9908698cb SHA256: 013c3a0b060d03740d39b60bd95ba49da87f241ea7b21a859d2fcb380ead6037 SHA512: 5aa93efa502262cb2f640652266a3f4df440bdfbc31be82066b1b190ecc35627e944661d5a87b0ef317a0485cb691e09ba69e636b1ad2de74640413a35100d42 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.buster.testing Priority: optional Section: science Source: mxnet (0.12.0+debian-1) Maintainer: Adam Cecile Installed-Size: 384759 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-buster/mxnet/libmxnet-cuda-mkl-dnn_0.12.0+debian-1+Debian.buster.testing_amd64.deb Size: 22197926 MD5sum: b35dfbc5d21b4b0b7d2af3801ee1c6dd SHA1: b8352c087096b4c5c76ea8ffaee1df002f8e36b0 SHA256: 024633e8504241dd7dff8ce00bfcf642e55813caff824c7780f6c62fc55084cc SHA512: f331ecbdd5ce3e3844e5874f122a83a3ec631b6141ace482d24b7b0e48af351971674e1feb70a78b3bcd8192a53544bee71571cc7f285aa84fd3aaf6dc09ff1a 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.buster.testing Priority: optional Section: science Source: mxnet (0.12.0+debian-2) Maintainer: Adam Cecile Installed-Size: 384759 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-buster/mxnet/libmxnet-cuda-mkl-dnn_0.12.0+debian-2+Debian.buster.testing_amd64.deb Size: 22195662 MD5sum: e4769e068f0d56ed01a0dfa7f891b32a SHA1: 1b9d076518fcf992a15199c45ada5188ebce22a4 SHA256: 69eed683656344cadab883d595249ba1b17f7a538d3f9e22af278462a48237a3 SHA512: 0d0493c27a265b42b9877af12d92bdea03f5226c19b707f9d845d4ac5f171143e4d95a73d6f673854c432d4c6ede0b2f7ca764e0456137a93d7cf27950157c82 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.buster.testing Priority: optional Section: science Source: mxnet (1.0.0+debian-1) Maintainer: Adam Cecile Installed-Size: 451054 Provides: libmxnet Depends: libc6 (>= 2.23), libcublas9.0, libcuda1 (>= 331), libcudart9.0, libcudnn6 (= 6.0.21-1+cuda8.0), libcufft9.0, libcurand9.0, libcusolver9.0, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libjemalloc1 (>= 2.1.1), liblapack3 | liblapack.so.3, libnvrtc9.0, 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-buster/mxnet/libmxnet-cuda-mkl-dnn_1.0.0+debian-1+Debian.buster.testing_amd64.deb Size: 24643340 MD5sum: 38699e7a7ae3630e0b709ee81210648b SHA1: 50722d5f286755a348e69f6016c2817111dfe8a3 SHA256: f9e3c3004d47ab2514b03cc9fc7aafbe5e7e41132b840bb5d45c0da9c61fdaab SHA512: ee11e79375230b0d5e820524ab838ea745248d0b0550ec0ff0e63209d54a11d1ea1985e097b559485404c67bce8cd9ab40c6be905ad3af09f0dbc2417f88d48a 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.buster.testing Priority: optional Section: science Source: mxnet (0.12.0+debian-1) Maintainer: Adam Cecile Installed-Size: 384549 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-buster/mxnet/libmxnet-cuda_0.12.0+debian-1+Debian.buster.testing_amd64.deb Size: 22161192 MD5sum: acad1eddd50312bf15ca64e67b1c5062 SHA1: de8f28b82d062b049f466b76b0533f8dcf8c9662 SHA256: 76012b2ad2b3b9b27849d34f905db5eafed1d06eb9dc27b4373c7a967b3bdfc4 SHA512: a5507fb84bd2155153cd5abd79e285058144fff57e5e64aa3c68aa52188b8dc23569f8206a1c372329a69c46ed78caec346aff6fe0307a5787b41109e578872e 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.buster.testing Priority: optional Section: science Source: mxnet (0.12.0+debian-2) Maintainer: Adam Cecile Installed-Size: 384549 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-buster/mxnet/libmxnet-cuda_0.12.0+debian-2+Debian.buster.testing_amd64.deb Size: 22160332 MD5sum: 78af862ee858b798cf92a7ca2eec81ce SHA1: 212c73314b7ee6d89cc70788ad046982ef6f951e SHA256: 3679ea8575899ed5239fb245c8b5bd1ef7e941a17b4b2556d1660fa782c6e2b6 SHA512: 63efb8cd747d55e0d2c0dd71561179ac96df2fe74a4c69fd395220b3b47d43c439ba4ed9dc22fa628e2a95c49839e849f05dd0179dda4183f4d5e11d7fa3bbf1 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.buster.testing Priority: optional Section: science Source: mxnet (1.0.0+debian-1) Maintainer: Adam Cecile Installed-Size: 450849 Provides: libmxnet Depends: libc6 (>= 2.23), libcublas9.0, libcuda1 (>= 331), libcudart9.0, libcudnn6 (= 6.0.21-1+cuda8.0), libcufft9.0, libcurand9.0, libcusolver9.0, libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libjemalloc1 (>= 2.1.1), liblapack3 | liblapack.so.3, libnvrtc9.0, libopenblas-base, libopencv-core3.2, libopencv-highgui3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libstdc++6 (>= 4.9) Conflicts: libmxnet Replaces: libmxnet Filename: pool-buster/mxnet/libmxnet-cuda_1.0.0+debian-1+Debian.buster.testing_amd64.deb Size: 24559884 MD5sum: 3ae845da0f8e7b0e20318dd9499ce3a9 SHA1: ece300f955bf1083faaf43c8f8afdb70920df56a SHA256: 5d52b63363c2c008c70d57f3e7e50e7b31d32c97f0fe724aa880d3589bfc4c0d SHA512: 0d787d124ff5a16670509f1338b1280b0a359872c7530e542c4c5c8b698646ad44dd63542f13b6d0c9f0cf435509d90da28c1be0cf75f38add3c920206d58197 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.buster.testing Priority: optional Section: science Source: mxnet (0.12.0+debian-1) Maintainer: Adam Cecile Installed-Size: 32404 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-buster/mxnet/libmxnet-generic_0.12.0+debian-1+Debian.buster.testing_amd64.deb Size: 5435460 MD5sum: ba81a7d1071b2457e1122149c6a2a54e SHA1: fa437c63766d13feddbd92782017e60d69f3aae6 SHA256: e448d239301060f50508dae775c33bd96cfd1c8d38e7a93f233a5ebf3bf0b7b3 SHA512: 50cfc4c184021a9e34ab1c0a2d0ecc4edd56457abca0722f12b711ea906290e39cfab116053e4fc0ebcf89a1fe1a715fbfc40a700d414a14366e888c9a78d877 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.buster.testing Priority: optional Section: science Source: mxnet (0.12.0+debian-2) Maintainer: Adam Cecile Installed-Size: 32404 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-buster/mxnet/libmxnet-generic_0.12.0+debian-2+Debian.buster.testing_amd64.deb Size: 5436188 MD5sum: 654f415fe976e5a36b5923d53d8cb4c2 SHA1: e52d0068f2c39828d108531a73d3873a7be94bf0 SHA256: 195c5c9c8c6f7254c1c39810de632c831cbd87f148cd601e7046bc02b1002ac3 SHA512: 9051c50815cd7ca0fc19a8b2c3eb7441f8c82dfc5948daf5a019d4eae4cf2759316db2aeb05cd8252378ece6f4a0babb542acc7edaa0c6d468743e488f860ad3 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.buster.testing Priority: optional Section: science Source: mxnet (1.0.0+debian-1) Maintainer: Adam Cecile Installed-Size: 37906 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-buster/mxnet/libmxnet-generic_1.0.0+debian-1+Debian.buster.testing_amd64.deb Size: 6346558 MD5sum: af7e44763a749b92cac47a87f68403bc SHA1: 06e9fc14a198a7473785f6e8b2b7351d3c0c82c3 SHA256: f0e62ac8da13bba59460c9c6f2e440c44541223d77e031a2524c50f7d55095b8 SHA512: 4ea0f126ce25d68c9891840e333eddc59eeb12d439e3409b41a6fa1077c852f9435138331e14747ddb89734b3c0ead9e0c129bc73e281fdd9243399de736ddbb 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.buster.testing Priority: optional Section: science Source: mxnet (0.12.0+debian-1) Maintainer: Adam Cecile Installed-Size: 32625 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-buster/mxnet/libmxnet-mkl-dnn_0.12.0+debian-1+Debian.buster.testing_amd64.deb Size: 5481964 MD5sum: 8131af48be62d284aeaf7629e5d68f0b SHA1: e24fac6694057883fb7027b557e0289c8d2c09c3 SHA256: 0de6527151d170e25fe2af3e6b79fea01603e3b6b2096542e8770925861b7529 SHA512: ee9fa83c1367a7dde271e8a92b235e8fff78e4b1e1c18e949a5510e37be4091db0200ca6e6bedbcdff94b84be9c6e4aa929413b6ce487361e84bae698adacb3d 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.buster.testing Priority: optional Section: science Source: mxnet (0.12.0+debian-2) Maintainer: Adam Cecile Installed-Size: 32625 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-buster/mxnet/libmxnet-mkl-dnn_0.12.0+debian-2+Debian.buster.testing_amd64.deb Size: 5481900 MD5sum: 5730a1f424a6d3abbc509369025417f2 SHA1: 8f67da17e80f8dbf2f2723a09ffc0e7a615f6f56 SHA256: 8d21a3fe82cf96308d4cc674a8e52f051aa0ddb1841616ba966d0bc04431d00c SHA512: 77ce96d0c8bb78fd839996711013fab15327ee92f5fde76ca94d8ec374bf4acf9aff018b03f052201043d372f22ca2593759a6b4f98f90430e211865baf97019 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.buster.testing Priority: optional Section: science Source: mxnet (1.0.0+debian-1) Maintainer: Adam Cecile Installed-Size: 38119 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-buster/mxnet/libmxnet-mkl-dnn_1.0.0+debian-1+Debian.buster.testing_amd64.deb Size: 6385658 MD5sum: 28b89756044352fb30d6d818cfc6a07f SHA1: fbb55cc80776393b9881534a87edfe5fa2d30e96 SHA256: 2ff434c2e0042941d9afaa979e211dff4b726a22b4beb635c650c6c79e8f97f3 SHA512: 5a975ab8ef347e5af50086d16ce466495c332cf525f421d0d0ca84abf25f4db89dd42d1d3cd79c55b3eb8134dd5d44611084144027b5646ab728b3d41cb568ae 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.buster.testing Priority: optional Section: science Source: mxnet (0.12.0+debian-1) Maintainer: Adam Cecile Installed-Size: 480324 Provides: mxnet-dev Depends: libmxnet-cuda (= 0.12.0+debian-1+Debian.buster.testing), 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-buster/mxnet/mxnet-cuda-dev_0.12.0+debian-1+Debian.buster.testing_amd64.deb Size: 24928862 MD5sum: b499e6fe98c12a4a0fc4c502445799b4 SHA1: 549980378d241788f8794ea0eaa79b942c670c82 SHA256: 7919eb0c0f9e7cf0fd4f4ba81f268f679b141defa082232668406d1a3c17674e SHA512: 52c453f687c6207305d38a924d96026f611c09d850361bfc8e87e05ecf92c2c9f3d0fb61c4d6bc6241eb62dc0e5c1223c8dbe8a8d6ff6e7256ed3f5ff3fd5341 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.buster.testing Priority: optional Section: science Source: mxnet (0.12.0+debian-2) Maintainer: Adam Cecile Installed-Size: 480324 Provides: mxnet-dev Depends: libmxnet-cuda (= 0.12.0+debian-2+Debian.buster.testing), 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-buster/mxnet/mxnet-cuda-dev_0.12.0+debian-2+Debian.buster.testing_amd64.deb Size: 24928534 MD5sum: 0603553eb534ad872c202be388fd32ad SHA1: 87acc90cac611a5e42c7ef7923c362e4f60ab354 SHA256: ff545b6edfcf39f62810d11a1a5d973712478891d11f8bd84e3fcfafe2bef8d4 SHA512: d6fcf4f7f49248b74b92a2cf9f2dc5b898666df0387cb69bdfd9123f527c120d27c6405c1f7183b74f5a6517f4538639d05e5883f19a640328ea81dfa910dfd7 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.buster.testing Priority: optional Section: science Source: mxnet (1.0.0+debian-1) Maintainer: Adam Cecile Installed-Size: 552974 Provides: mxnet-dev Depends: libmxnet-cuda (= 1.0.0+debian-1+Debian.buster.testing), 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-buster/mxnet/mxnet-cuda-dev_1.0.0+debian-1+Debian.buster.testing_amd64.deb Size: 26987868 MD5sum: 125663ccd006486553ca3bf4a9335f09 SHA1: 55a1c7adb309c453b06650d61c97644414ce6710 SHA256: 02e4c2eb9ac71651b174eb7102feccc1269f70ea3bdb6ca69adb55ea3b76a09e SHA512: 88a22f82dc7e6f144c97e6e51aba81d884ec4767a0bdffc89759cbb8131e77f05f5a087ceb4e3264653a227ca2e2f9007dc4fc078b6b9a1ba5ba6303bd541c68 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.buster.testing Priority: optional Section: science Source: mxnet (0.12.0+debian-1) Maintainer: Adam Cecile Installed-Size: 481318 Provides: mxnet-dev Depends: libmxnet-cuda-mkl-dnn (= 0.12.0+debian-1+Debian.buster.testing), 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-buster/mxnet/mxnet-cuda-mkl-dnn-dev_0.12.0+debian-1+Debian.buster.testing_amd64.deb Size: 25061390 MD5sum: fdeaeea843dae216119e8709f5c603ba SHA1: b1d017794ac1cbef8277fc638e5ccc6a89dde8ce SHA256: 091f4779ebfa9c999729ac1582aa5c2d2c087953c50054471b4136e3c89fbdea SHA512: d139389fef26d5a5e5537761483eba3502c98de83abbff53c83db1b65204b817eaa51afe224dbc91c3b551fd7f6ff00ba7b392187c828099e0f7202f5100f941 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.buster.testing Priority: optional Section: science Source: mxnet (0.12.0+debian-2) Maintainer: Adam Cecile Installed-Size: 481318 Provides: mxnet-dev Depends: libmxnet-cuda-mkl-dnn (= 0.12.0+debian-2+Debian.buster.testing), 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-buster/mxnet/mxnet-cuda-mkl-dnn-dev_0.12.0+debian-2+Debian.buster.testing_amd64.deb Size: 25059614 MD5sum: 2600bed7955366b88c63f72db05ca86e SHA1: 258fb9e81b43570593b306125721cf8b4996f467 SHA256: e34959158844353ac52f21410bc5cd0943bca6fce748d0db2d5a60f393e1af91 SHA512: 91727a8b7365ae92ab7c46cf445c8db3796bf2f84c9f5705c14da19dcc29c7b90ac80d3c793518b22e82905d69198e0511e34dfbeef0391f7d4bd2891d28f54c 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.buster.testing Priority: optional Section: science Source: mxnet (1.0.0+debian-1) Maintainer: Adam Cecile Installed-Size: 553961 Provides: mxnet-dev Depends: libmxnet-cuda-mkl-dnn (= 1.0.0+debian-1+Debian.buster.testing), 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-buster/mxnet/mxnet-cuda-mkl-dnn-dev_1.0.0+debian-1+Debian.buster.testing_amd64.deb Size: 27128556 MD5sum: f474280ffc18d02da2a0efede4476c90 SHA1: cb102d5df73e7ee2ab5c6897d867f72aa1070187 SHA256: 2c61e7a0889ee1d6691456997a039fea01646f9f6d9544af51bbd69e4bc8e0d7 SHA512: 2a96c6492249440cb2dc4b7b0356349fa8ef6cbd9415c953bc5e9461914ddbc1a171758ef4cb8d29236b923a2ac1a9d7ac0a7f60dea9b6665f843780e17e2525 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.buster.testing Priority: optional Section: science Source: mxnet (0.12.0+debian-1) Maintainer: Adam Cecile Installed-Size: 85688 Provides: mxnet-dev Depends: libmxnet-generic (= 0.12.0+debian-1+Debian.buster.testing) Conflicts: mxnet-dev Replaces: mxnet-dev Filename: pool-buster/mxnet/mxnet-generic-dev_0.12.0+debian-1+Debian.buster.testing_amd64.deb Size: 7370284 MD5sum: aefde259764eec5d02a2685827f8d1d9 SHA1: 678ff9deacedf44e8acfd1e7a335a255a034a808 SHA256: 9dfef2859a349a36c606de88da4449be2bea01e939d33d6ca062a08afe583baf SHA512: 226e8b9e1467d1bb0d7c8a2e5764a4926fc0318f20f80a1dc49455ab3df39cf426ff9807e0b41020204e5d722d8a81252ded641f866b7c6722133228dc7f6e53 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.buster.testing Priority: optional Section: science Source: mxnet (0.12.0+debian-2) Maintainer: Adam Cecile Installed-Size: 85688 Provides: mxnet-dev Depends: libmxnet-generic (= 0.12.0+debian-2+Debian.buster.testing) Conflicts: mxnet-dev Replaces: mxnet-dev Filename: pool-buster/mxnet/mxnet-generic-dev_0.12.0+debian-2+Debian.buster.testing_amd64.deb Size: 7369724 MD5sum: ef47f70cc447b0740e251ad05dfd8d23 SHA1: 576350623c06901bf3523ef29d0756370be2e262 SHA256: 6c5aa28c10bc782396f6b26d1894dd97cad75ba65f3f52f31a4e93bba222cd58 SHA512: 1efde9592fff59acb969715331e0cdac617c35275de0fce61973df55b04abfea8b57891e8fa8f0950d3f0799197b53bacfa1ac78babd08dc5841c4287965144b 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.buster.testing Priority: optional Section: science Source: mxnet (1.0.0+debian-1) Maintainer: Adam Cecile Installed-Size: 95233 Provides: mxnet-dev Depends: libmxnet-generic (= 1.0.0+debian-1+Debian.buster.testing) Conflicts: mxnet-dev Replaces: mxnet-dev Filename: pool-buster/mxnet/mxnet-generic-dev_1.0.0+debian-1+Debian.buster.testing_amd64.deb Size: 8284912 MD5sum: a4156fc21f9c78b0d202831f49487341 SHA1: 5999f75e48c70e17b0f6d293eef732faa48775d2 SHA256: 3d1828f1c1e1b8f64d7e5697745d0d44b58f4f4ecb3ca6c2b8b4c7801147a7a0 SHA512: 923890d7c236d853051f1fe12cd0636086edc5165215d7b84f396c16e9e09e89fb4cd5dc14c1e10e199f6b64a48dfc3717f15cac3d516ff013323c6a271273cb 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.buster.testing Priority: optional Section: science Source: mxnet (0.12.0+debian-1) Maintainer: Adam Cecile Installed-Size: 86401 Provides: mxnet-dev Depends: libmxnet-mkl-dnn (= 0.12.0+debian-1+Debian.buster.testing), libmkldnn-nonfree-dev Conflicts: mxnet-dev Replaces: mxnet-dev Filename: pool-buster/mxnet/mxnet-mkl-dnn-dev_0.12.0+debian-1+Debian.buster.testing_amd64.deb Size: 7426264 MD5sum: 8d07099c8adb2787d4e7a95683cf72e2 SHA1: ea070162473eeaf5303a9396622ea3946da35b7c SHA256: 00ba47b1af010a25c8f9a1148f0ef56d6c1458ffadb40356bcc2d92dde15ec41 SHA512: a8b4025a2b3fdd038f3839041732b0b3cee707c41197e54948174c12a25142b9f38d149e67f2a0adb403322f7a0591eaed5097669a460d806b0f96f45e58a6a2 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.buster.testing Priority: optional Section: science Source: mxnet (0.12.0+debian-2) Maintainer: Adam Cecile Installed-Size: 86401 Provides: mxnet-dev Depends: libmxnet-mkl-dnn (= 0.12.0+debian-2+Debian.buster.testing), libmkldnn-nonfree-dev Conflicts: mxnet-dev Replaces: mxnet-dev Filename: pool-buster/mxnet/mxnet-mkl-dnn-dev_0.12.0+debian-2+Debian.buster.testing_amd64.deb Size: 7425496 MD5sum: a33acc183573914a88328246c8d439e9 SHA1: a03875b93223f94ae5dcfa2955c18f09a88784c5 SHA256: 8e442e18e47d347f67d64778b5ab6700c7c398e451f37350cca7bfd4878893be SHA512: b54b13855a369172dda929fa2fd388177d25970a86ed662f71cebc63bf6ee2210f2dee7be1ba2d01324d43bdab84de6981739e69bde826f79a78a11488c74cb4 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.buster.testing Priority: optional Section: science Source: mxnet (1.0.0+debian-1) Maintainer: Adam Cecile Installed-Size: 95942 Provides: mxnet-dev Depends: libmxnet-mkl-dnn (= 1.0.0+debian-1+Debian.buster.testing), libmkldnn-nonfree-dev Conflicts: mxnet-dev Replaces: mxnet-dev Filename: pool-buster/mxnet/mxnet-mkl-dnn-dev_1.0.0+debian-1+Debian.buster.testing_amd64.deb Size: 8369472 MD5sum: 74b40a06512b6c38d60a3c5963a0f04f SHA1: f00b1ed7103c0d73afc0159f9d0b35e38078694f SHA256: 9ae116a77886f7aeaeffc92cece8c16b715e6db643b5c424b3cbd250763c1b91 SHA512: de1c0bc0e4338f8d62b1866e8655daaf9ecb3f5b29898391c3d8eb767842372769c9ff3f63b298a9786d510feb65494ede9b8f65b9fa6539547ab35e5ed1c17a 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.buster.testing 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.buster.testing) | libmxnet-mkl-dnn (= 0.12.0+debian-1+Debian.buster.testing) | libmxnet-cuda (= 0.12.0+debian-1+Debian.buster.testing) | libmxnet-cuda-mkl-dnn (= 0.12.0+debian-1+Debian.buster.testing) | libmxnet (= 0.12.0+debian-1+Debian.buster.testing) Recommends: python-opencv, python-graphviz Filename: pool-buster/mxnet/python-mxnet_0.12.0+debian-1+Debian.buster.testing_all.deb Size: 212192 MD5sum: 5e30df150aebb2ffaa63858cd1487879 SHA1: e6e1c4a45ea3bdc0d7794da8e019472ddc1c7265 SHA256: 8814d5e12f81bacdc8c21efff80d15297d22e7964665354f269c8c89322a5e03 SHA512: c44d25722378674c2526fa58326e24b35d2b5bb1123cf6e51e7c46687891c6c276e7e32acc5b4a8d62614bd73f436849ce91f3ff6bd774288b7fd36bb32fe6cd 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.buster.testing 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.buster.testing) | libmxnet-mkl-dnn (= 0.12.0+debian-2+Debian.buster.testing) | libmxnet-cuda (= 0.12.0+debian-2+Debian.buster.testing) | libmxnet-cuda-mkl-dnn (= 0.12.0+debian-2+Debian.buster.testing) | libmxnet (= 0.12.0+debian-2+Debian.buster.testing) Recommends: python-opencv, python-graphviz Filename: pool-buster/mxnet/python-mxnet_0.12.0+debian-2+Debian.buster.testing_all.deb Size: 212352 MD5sum: 4fe5ba61c931a945c51f02b2e227526e SHA1: 124b7c9d4ac5e351fbbbb57527ebcba8441a39e5 SHA256: f0e5093b1db665ab5f37a37259fdcd0a5a2cc4442f0f09a6db49b63205ade90d SHA512: d30fb77d3e44e705f6a8fa3f27923c870f6532177c6429bf99018fb173e17d6a630b4cd74603c57495d9bbce50298e7a16d7ed963abdca970e3ee609695158c5 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.buster.testing 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.buster.testing) | libmxnet-mkl-dnn (= 1.0.0+debian-1+Debian.buster.testing) | libmxnet-cuda (= 1.0.0+debian-1+Debian.buster.testing) | libmxnet-cuda-mkl-dnn (= 1.0.0+debian-1+Debian.buster.testing) | libmxnet (= 1.0.0+debian-1+Debian.buster.testing) Recommends: python-opencv, python-graphviz Filename: pool-buster/mxnet/python-mxnet_1.0.0+debian-1+Debian.buster.testing_all.deb Size: 220898 MD5sum: 6b63f8b4e80e13fdbc329645be4c85fc SHA1: 6a6468600e779019687dba84b0495c64cb47135f SHA256: eab8124beaa419994ce236723a27df840dbc287ffbeb6b463f28fac9535c908c SHA512: 4c37b045031287a409ab1c5d03cb954cf93c970ec485fb2fe2793c5beac84f616cc7a2e7909183682b32be29048b6a4c98b3697775fd09140493166718114f4c 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.buster.testing 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.buster.testing) | libmxnet-mkl-dnn (= 0.12.0+debian-1+Debian.buster.testing) | libmxnet-cuda (= 0.12.0+debian-1+Debian.buster.testing) | libmxnet-cuda-mkl-dnn (= 0.12.0+debian-1+Debian.buster.testing) | libmxnet (= 0.12.0+debian-1+Debian.buster.testing) Recommends: python3-opencv, python3-graphviz Filename: pool-buster/mxnet/python3-mxnet_0.12.0+debian-1+Debian.buster.testing_all.deb Size: 212292 MD5sum: bacf258102adaf59a5193dca763768f5 SHA1: e1bf41b3873e51328f2e9992e67661c01d1875ce SHA256: 9a2dbca3872b758d7b27ce4a5a2459a8a51f08d123b21cefae9a98281f321fc8 SHA512: 0f859ffaf7824109b335cd65765ad07201a09319ee4b00323eb66e5dc27d2ab700ac150cf005a2f2bbbf6169177bd7e450c4df7b83477b391094b25f1808255a 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.buster.testing 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.buster.testing) | libmxnet-mkl-dnn (= 0.12.0+debian-2+Debian.buster.testing) | libmxnet-cuda (= 0.12.0+debian-2+Debian.buster.testing) | libmxnet-cuda-mkl-dnn (= 0.12.0+debian-2+Debian.buster.testing) | libmxnet (= 0.12.0+debian-2+Debian.buster.testing) Recommends: python3-opencv, python3-graphviz Filename: pool-buster/mxnet/python3-mxnet_0.12.0+debian-2+Debian.buster.testing_all.deb Size: 212464 MD5sum: 2c33861b3527fa718a8da1fda372bcb7 SHA1: bf1f105d4962816bf63a93c6bce72c5ab20df7e3 SHA256: 04ae0a8eff9ed71fb342c373fff0360582bde4360fb2230898db5611977bf646 SHA512: 8a8978ce75fa1abfff57b272a78f6825239a0ac7c7b4d8a7189eedc381cf96af2735dc7568decacd82f8a6d0384ceed36d91adab873e1183f4c67de010de0287 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.buster.testing 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.buster.testing) | libmxnet-mkl-dnn (= 1.0.0+debian-1+Debian.buster.testing) | libmxnet-cuda (= 1.0.0+debian-1+Debian.buster.testing) | libmxnet-cuda-mkl-dnn (= 1.0.0+debian-1+Debian.buster.testing) | libmxnet (= 1.0.0+debian-1+Debian.buster.testing) Recommends: python3-opencv, python3-graphviz Filename: pool-buster/mxnet/python3-mxnet_1.0.0+debian-1+Debian.buster.testing_all.deb Size: 221058 MD5sum: c1659ad8ed199cad34dbcbd01a92be49 SHA1: e6393b0c63d3f2a9515101c74d0e25fa37ce90a6 SHA256: 1960756b2c33b4713059109d6104303cac3e1006b313bbed2e345565a7aa204a SHA512: b034bc66884bea42274704360ce869cabf2df30bd5c276bc1d16740b1ed6235032d93cf01d432b57a4bfb3e1ab7dc5f47498159461abaec0671d15b3427d89a1 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.buster.testing Priority: optional Section: libdevel Source: nccl1 (1.3.4+git20171024.03d8569d.debian-1) Maintainer: Adam Cecile Installed-Size: 57631 Depends: libnccl1 (= 1.3.4+git20171024.03d8569d.debian-1+Debian.buster.testing) Filename: pool-buster/nccl1/libnccl-dev_1.3.4+git20171024.03d8569d.debian-1+Debian.buster.testing_amd64.deb Size: 1746578 MD5sum: 789148ad713427c55c68d8452df2f846 SHA1: 97f6fdaf921670121b94bac7517717e9a67e8905 SHA256: cb83160d918f2f1e6d6f0a1354f3b4dc1115103df17e25bfc2c538fdec06c418 SHA512: 3df79e086f707dd7a395aa0180bc825815b51526e632bbfcd89b7a215261537d055af3c351bbe15f10ae0cbff0bd6798b7aeda6b440cc0992b2a8bd102c22580 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.buster.testing Priority: optional Section: libdevel Source: nccl1 (1.3.4+git20171024.03d8569d.debian-2) Maintainer: Adam Cecile Installed-Size: 60980 Depends: libnccl1 (= 1.3.4+git20171024.03d8569d.debian-2+Debian.buster.testing) Filename: pool-buster/nccl1/libnccl-dev_1.3.4+git20171024.03d8569d.debian-2+Debian.buster.testing_amd64.deb Size: 1800102 MD5sum: d34871c169048678e99939392466dc1f SHA1: aba26edf6cc78ddeeda6245ad9acb0ff3cb303ff SHA256: 4106b6371c8338b1dcd514768102649e2e690b6eed9fa8e3a3f3e0a2cac49e6c SHA512: 746caf579d4c99929d234b317218301f2669d18d17f05abeb73c1459dcc28e9e9bfcfb3c02620afedf386409b9aa3a49983d798f327f9a9bb983079538251b8f 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.buster.testing Priority: optional Section: libdevel Source: nccl1 (1.3.4+git20171024.03d8569d.debian-3) Maintainer: Adam Cecile Installed-Size: 60686 Depends: libnccl1 (= 1.3.4+git20171024.03d8569d.debian-3+Debian.buster.testing) Filename: pool-buster/nccl1/libnccl-dev_1.3.4+git20171024.03d8569d.debian-3+Debian.buster.testing_amd64.deb Size: 1791434 MD5sum: efb30bcd8e2b577737561ba898a49bf5 SHA1: 3c7973d2d4088e215260e7113e5f8177e8a3823b SHA256: a345a0562a045b3dd1df5c71587d261b804973edf8d13488553db6d32beff013 SHA512: 1c963084c4acf12a97535ae374f593ff45589933656319c5be7f61d47b9b35311782df7022be65921056b5e9f3e8b7d0f9c2ab2d34bea043a49706fd97fdde2e 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.buster.testing 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-buster/nccl1/libnccl1_1.3.4+git20171024.03d8569d.debian-1+Debian.buster.testing_amd64.deb Size: 1733378 MD5sum: c0d25bb7f216fee7d85156411d521735 SHA1: 772c814d22694f5f02e7e18d148a21411c695de2 SHA256: 8a500da645cda28dea6c8ce3a2061914da2084ce5a6f07b90da04f52703ead40 SHA512: 48cb81486337539388d396c482df015e833a0fe72e2be9a9b27f75023ed712a938dbc8f98d1ac2ddc420a2702410cc8971b2d2ae8d37985cdc94662692cc8bcf 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.buster.testing Priority: optional Section: libs Source: nccl1 (1.3.4+git20171024.03d8569d.debian-2) Maintainer: Adam Cecile Installed-Size: 60702 Depends: libc6 (>= 2.2.5), libcudart9.1, libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1) Filename: pool-buster/nccl1/libnccl1_1.3.4+git20171024.03d8569d.debian-2+Debian.buster.testing_amd64.deb Size: 1810884 MD5sum: 705ecee723b3c7a2d323fc77b2726829 SHA1: e05cd462829da72777598747388121934e81594d SHA256: 21711f11ef393b542ebdf1614c0e74fc53d4ead6cf8b8946ce4c27f20a635829 SHA512: 49b0b859aa875211049ca702a2982c7de80231c9187f9a0575f849dd73de5029430f0c8a3d28f9881f2ac15670b36f861bfad894e37f07ca2c27479a63999421 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.buster.testing Priority: optional Section: libs Source: nccl1 (1.3.4+git20171024.03d8569d.debian-3) Maintainer: Adam Cecile Installed-Size: 60410 Depends: libc6 (>= 2.2.5), libcudart9.2, libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1) Filename: pool-buster/nccl1/libnccl1_1.3.4+git20171024.03d8569d.debian-3+Debian.buster.testing_amd64.deb Size: 1769664 MD5sum: e384b1b6adbc0c667d3219f3a71d15d3 SHA1: 6b0280d7ef3ba2a4e11eed405bc0718c33aef806 SHA256: 683d0ed88c5ecc0e86b2e7c118ac72e3225d1cc0563792f575ddc1bf33bedba7 SHA512: 128b115b02144661e3950d17e1538ad3accb8de30875807c40c1d90f60cd93b77ef65945f020ecf94a88b90ff0f848f34c121c160bdde3d291fee825ebdb7400 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.buster.testing Priority: optional Section: libdevel Source: nccl (2.4.6+1-1) Maintainer: Adam Cecile Installed-Size: 136498 Depends: libnccl2 (= 2.4.6+1-1+Debian.buster.testing) Filename: pool-buster/nccl2/libnccl-dev_2.4.6+1-1+Debian.buster.testing_amd64.deb Size: 29093096 MD5sum: ad22f151393eac852b9d9fcfe55baa76 SHA1: fd3f5c5a24215fb6be2ac55ef3ece502c1e2250c SHA256: ff2e8ee0f74a7b4c237254887e46767f0bab9724fc80e129d943e37c328f5cec SHA512: a236892a929ca3454734f8c0b5cbaa6e342f09e71c35d23df02a9651b03d127effe131c277858e96a9802407f21bcc3b69d0c155892b6f829b55bc6a6f25959c 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: 2.6.4+1-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.60.61.70 Priority: optional Section: libdevel Source: nccl (2.6.4+1-1) Maintainer: Adam Cecile Installed-Size: 110881 Depends: libnccl2 (= 2.6.4+1-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.60.61.70) Filename: pool-buster/nccl2/libnccl-dev_2.6.4+1-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.60.61.70_amd64.deb Size: 29499876 MD5sum: 26f549048110f5528cd11ca7fd63ac2b SHA1: fb2f1793bd637d1b0da5d541f809890fb8da04f7 SHA256: e2a379f8bac1572e1e010ae86df70cf0632941da016e714d374af88a93ce8583 SHA512: 8f518f08624459e11bb4cf531ea3c6053bc028d39203d6d3e27a606d3bba07c9f079038cfb69342244aa58884417f838283a218a02d621f59e27ed50fc609b56 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.buster.testing Priority: optional Section: libs Source: nccl (2.4.6+1-1) Maintainer: Adam Cecile Installed-Size: 135507 Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1) Filename: pool-buster/nccl2/libnccl2_2.4.6+1-1+Debian.buster.testing_amd64.deb Size: 29102096 MD5sum: d8dfb08d58131dde10df8af627fc8017 SHA1: 0b4c2a1680755da98f7f4b47c5f3af719ae43589 SHA256: e7f549c20ed3c83e4603074a882a77c4aec231491d141b6e038f9e322a71f303 SHA512: 8385977f5bcd00641c2970ce78286eeb85322b99423bd1d53787d83f8c23ca0d08b1ec3fc02623f70e170b78dc6cb399337d496c46e18b498361f74a9078833e 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: libnccl2 Architecture: amd64 Version: 2.6.4+1-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.60.61.70 Priority: optional Section: libs Source: nccl (2.6.4+1-1) Maintainer: Adam Cecile Installed-Size: 109196 Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1) Filename: pool-buster/nccl2/libnccl2_2.6.4+1-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.60.61.70_amd64.deb Size: 28866376 MD5sum: b29246c7357deaf66a115d3f64af6bd3 SHA1: 791c8bb38fff117cfcc78baf7157fcb8f8706f4b SHA256: 743f17cb473601bfc35162e23963ff7935833c5e69835e2708fc3cefcc3e1c41 SHA512: 880fa2128f02d945e527ed799badb90d6d4b36e1639db1b9f20e923e2bb677b8f9abb1cb6a80aa96be1481dee58d540c12d3ad7aaaedf3a5ba8bff958c41d9aa 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-buster/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-buster/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-buster/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-buster/nnpack/ninja-syntax/python-ninja-syntax_1.7.2-1_all.deb Size: 5334 MD5sum: 09315394f9462e704efcf87b4030239e SHA1: a9c286b1a216f6483b69d9f295a84edb2c78e8cf SHA256: 57b35557dc6233a32adb21173f35910e4203ed02c63c4698cc8174ff5f51f1dd SHA512: 735612a3afbc2b36879b472358f8b629f7d9d3cf6693256327489860856906d0a57612adeb8905d061c195bfc3647fc535024f5fcf6d82ee8a448757709eba85 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-buster/nnpack/ninja-syntax/python3-ninja-syntax_1.7.2-1_all.deb Size: 5416 MD5sum: b005174b3c8225253e0556ee3c8937f6 SHA1: 64e9ac9e47c112a64170d4084f72adc81f945355 SHA256: 3f1538057d5ea8b386e1f47d53efeeeec27cc9963dcd6b211622978465ec7c8e SHA512: f5fdaac5620771ed2e3231990b84a28ee1631f45e939afcf1e4af2c26d46875e4e1c8313f5357dc6c7f5d07c6b89a5ae69b63a6a992c63f10db3f92044a8c6bb 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.buster.testing Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: nnpack (0.0~git20171212.f824d52-1) Maintainer: Adam Cecile Installed-Size: 162 Depends: libnnpack (= 0.0~git20171212.f824d52-1+Debian.buster.testing) Filename: pool-buster/nnpack/nnpack/libnnpack-dbgsym_0.0~git20171212.f824d52-1+Debian.buster.testing_amd64.deb Size: 90264 MD5sum: a71703dff9eb1a450acb68a795061d1d SHA1: daa548b69996ab0200355401175b283f5469abc3 SHA256: dceb7593a6dae5a64b1c9ed0437a7c7f2b4346b53d447e49783b528c1bb41ff7 SHA512: b58f66f9de4e642b19a27e825a33eeb9b53af795fa6e771b3813c771d17fd216f0b1d8c812b843d68da532aabe29724adb3cf98e7a7e8e1563765792c75feecc Description: debug symbols for libnnpack Build-Ids: 110fba25a6446781ca1b0557d269a9fe2937ae1b Package: libnnpack-dev Architecture: amd64 Version: 0.0~git20171212.f824d52-1+Debian.buster.testing 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.buster.testing) Filename: pool-buster/nnpack/nnpack/libnnpack-dev_0.0~git20171212.f824d52-1+Debian.buster.testing_amd64.deb Size: 52576 MD5sum: 7f406816f2f1b8e15efb53d705c2cab6 SHA1: 33f32fdd569291a2b93f589d5d15ae4ec961776b SHA256: 65ce5dace3f2d26cd8a0c2639c0a0160459ad60ad2ffb1adeedbf954fefd22fe SHA512: f3125e1d235e066967219a391c009b6a79b2c3986722660c0063cfef78dff5737f81eea0b287bdad64734d11fde57b3d1a3687264c23f367b8143b3c19faf747 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.buster.testing Priority: optional Section: libs Source: nnpack (0.0~git20171212.f824d52-1) Maintainer: Adam Cecile Installed-Size: 142 Depends: libc6 (>= 2.17) Filename: pool-buster/nnpack/nnpack/libnnpack_0.0~git20171212.f824d52-1+Debian.buster.testing_amd64.deb Size: 41660 MD5sum: 2feaf62e6375dbedf34121b87bb0b4af SHA1: 4098a527a68d66423c93e886a184ac6f9f0a2013 SHA256: e683ee02f1c283344477c7e46a2e2e066df0d0b9356cd01669a91cc8cb4478e9 SHA512: 2e66553725a1c53b4e891388ee8e905e54831ec8a35bfc83dabda05dd53f49642aafe1fcab4e8fc61b8f3e2d79e9ebf15be9eca1d9a2d556d50f1d2fdfa0064b 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-buster/nnpack/opcodes/python-opcodes-doc_0.3.14-1_all.deb Size: 428096 MD5sum: dd6344bde982ce34ad965d77834b12c6 SHA1: 13f208a32300b35fcee10d29303b529dc939d79e SHA256: f2a88821eae899c2ad47ae96575b0e89e98d88c3f4675c2fb71cedd753937dca SHA512: 1cd236741203149ff2c55367e2d13caf842a760c54a4282737e6c507fd61169efe4dcb46067a7ee2ac273db3efa7a04ca45bdf026b45e3e85cfc07d14e070e49 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-buster/nnpack/opcodes/python-opcodes_0.3.14-1_all.deb Size: 148458 MD5sum: 2af89db240f21d9a79ec753859c7acf7 SHA1: 2e310ae63c106c078641c3240a3730366caddf7c SHA256: bb9854f23aa4a3364cdf0319d1d1e972ff4377d77325db3e54c7f306721a71b8 SHA512: b8bceda8d774d9610f04eaed430426a91474a25cdc8c5977f19d47068f3d8abac105f4f6232aa14d1912feaf9b0454ade3a4ba99e186566ab9179e9585d49fff 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-buster/nnpack/opcodes/python3-opcodes_0.3.14-1_all.deb Size: 148554 MD5sum: e7af3bf7db0b0a01a42560e6939a3152 SHA1: e02b7a2b6278cac8827557991b4b46e9a419413c SHA256: 1afc021def1971c78121b17670ff0481d0155211e263c103c8a469f8d26a00d4 SHA512: 84d5ecb6c4788cbcbe1ea648615bbc4c57ff0becde7fa35a8525ca1a20c719f672ac32968236324138d21d86dcc5fef2fd7b7a14eb5e0a240b7032eaf80f0049 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-buster/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. Package: python-peachpy-doc Architecture: all Version: 0.2.0~git20171207.311c1f6-2 Priority: optional Section: doc Source: peachpy Maintainer: Adam Cecile Installed-Size: 6343 Depends: libjs-sphinxdoc (>= 1.0) Filename: pool-buster/nnpack/peachpy/python-peachpy-doc_0.2.0~git20171207.311c1f6-2_all.deb Size: 481662 MD5sum: c4c8b91bc2ce75bab101263efe771794 SHA1: c2743fa3a775182ad14438d3e6c4c00ff7a28a2f SHA256: 80aa31076c76e0307e160764ab9b4459728692b5830c9e4623fca50241283bf1 SHA512: 3ba1ff49a3a3b613af75c0659b3764e5f3b8f0103f0b9ffa8524116a417dd357688595495851556d3fdda55b6f201bfcf33dcdf62c9946bd840b50b4c4b9239e 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. 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-buster/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-buster/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-buster/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: 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-buster/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.buster.testing 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~) Filename: pool-buster/openai-gym/python-gym_0.11.0-0~0+Debian.buster.testing_amd64.deb Size: 1193324 MD5sum: de0c3612a87505c2d94dce3702773d8d SHA1: 72e00f1cd11529ad2c77d0b8ec28d20254478e34 SHA256: 51d0548b0c39138e328053a45835693d365f80f140814ad2b5a468f31d7037bd SHA512: 50286f3fe276771f626e3053a0d3c1bf9a6aa6e63f358c440868494d2beed82a6ee9fcbab1711c523262c4f78bf5d5486dde7964c914c3675607966ea1112259 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.buster.testing 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-buster/openai-gym/python3-gym_0.11.0-0~0+Debian.buster.testing_amd64.deb Size: 1193164 MD5sum: 0f228dfe12f9c11acfd9fc3e98a2024a SHA1: e6c42b6ec0af24ffa4eaeb432c05b8c491f29bd5 SHA256: 6c02ac8a6902a46d5ae70c42a113642b4875cd19ccb14c47a405fca7036ae394 SHA512: aaafa2a944957577a81d4dc3a2712fd49471ff97ebaeefd01ec922463b8354de236990157d008028b4c3a842074b86f0313d4c27241ea86aa9b1d915f8087a84 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: python-opt-einsum-doc Architecture: all Version: 3.3.0-1+Debian.10.buster Priority: optional Section: doc Source: opt-einsum (3.3.0-1) Maintainer: Adam Cecile Installed-Size: 2338 Depends: libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common (>= 0.4.3+dfsg) Filename: pool-buster/opt-einsum/python-opt-einsum-doc_3.3.0-1+Debian.10.buster_all.deb Size: 1212092 MD5sum: 0335b79621fce02c1fbeb30cc2547727 SHA1: 23ee5eead126ae7c018889cea5da51ad5207830f SHA256: fc62781700d738484d3b3328bd629c892d580aa18b7da00c0c92155328f67e36 SHA512: ac2d0b6a525a0e351d5b065e7993879458e4c37cb36733ecf2d25b64cf5077f800051c0ca20de2d1d3a687ebf81bc0697dba386db5f53f34f2cce701e085a233 Homepage: https://github.com/dgasmith/opt_einsum Description: Tensor contraction order optimize (common documentation) Optimized einsum can significantly reduce the overall execution time of einsum-like expressions (e.g., np.einsum, dask.array.einsum, pytorch.einsum, tensorflow.einsum) by optimizing the expression's contraction order and dispatching many operations to canonical BLAS, cuBLAS, or other specialized routines. . Optimized einsum is agnostic to the backend and can handle NumPy, Dask, PyTorch, Tensorflow, CuPy, Sparse, Theano, JAX, and Autograd arrays as well as potentially any library which conforms to a standard API . This is the common documentation package. Package: python3-opt-einsum Architecture: all Version: 3.3.0-1+Debian.10.buster Priority: optional Section: python Source: opt-einsum (3.3.0-1) Maintainer: Adam Cecile Installed-Size: 247 Depends: python3-numpy (>= 1.7~), python3:any Suggests: python-opt-einsum-doc Filename: pool-buster/opt-einsum/python3-opt-einsum_3.3.0-1+Debian.10.buster_all.deb Size: 50318 MD5sum: 0894eeb31b741cb4bcafa1b4868c6318 SHA1: 83ce357603dc405c115178dbaf941d013fe82a40 SHA256: 77a16d372df3a0a82d66a82591315b38c6ef1dce67886b395bad0d723559a8da SHA512: a2fcace88d5e6e5791695d25c10e10f498e643d2f97d3a3854c4cb10428b1b25ffb528bf65c384e6bc8e28a9ebff6967e56636fb3f48427711b1c754b749ea3c Homepage: https://github.com/dgasmith/opt_einsum Description: Tensor contraction order optimizer (Python 3) Optimized einsum can significantly reduce the overall execution time of einsum-like expressions (e.g., np.einsum, dask.array.einsum, pytorch.einsum, tensorflow.einsum) by optimizing the expression's contraction order and dispatching many operations to canonical BLAS, cuBLAS, or other specialized routines. . Optimized einsum is agnostic to the backend and can handle NumPy, Dask, PyTorch, Tensorflow, CuPy, Sparse, Theano, JAX, and Autograd arrays as well as potentially any library which conforms to a standard API . This package installs the library for Python 3. Package: libprotobuf-dev Architecture: amd64 Version: 3.4.0-0+Debian-buster-testing Multi-Arch: same Priority: optional Section: libdevel Source: protobuf (3.4.0-0) Maintainer: Debian protobuf maintainers Installed-Size: 8861 Depends: zlib1g-dev, libprotobuf14 (= 3.4.0-0+Debian-buster-testing), libprotobuf-lite14 (= 3.4.0-0+Debian-buster-testing) Filename: pool-buster/protobuf/libprotobuf-dev_3.4.0-0+Debian-buster-testing_amd64.deb Size: 1043832 MD5sum: 28061c611d400a559dd9645b9df778c1 SHA1: fa3a866379f417791f302efddf645ba0ccb1af57 SHA256: ac6074647321845c4ffdd5d65b0065f364db52fac47e5b5de1720cd961086b6a SHA512: a20deb1fd6946bb4baa607a43cff225741cfa44798d19cf10a22f4adad80adf9bdf9f2fbd8895d5a1d3df4b8724265f59484aa1f513a94ccba4eccd8ece8e7dd Homepage: https://github.com/google/protobuf/ Description: protocol buffers C++ library (development 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. Package: libprotobuf-dev Architecture: amd64 Version: 3.6.1.3-2~bpo+Debian.buster.testing Multi-Arch: same Priority: optional Section: libdevel Source: protobuf (3.6.1.3-2~bpo) Maintainer: Laszlo Boszormenyi (GCS) Installed-Size: 10067 Depends: zlib1g-dev, libprotobuf17 (= 3.6.1.3-2~bpo+Debian.buster.testing), libprotobuf-lite17 (= 3.6.1.3-2~bpo+Debian.buster.testing) Filename: pool-buster/protobuf/libprotobuf-dev_3.6.1.3-2~bpo+Debian.buster.testing_amd64.deb Size: 1130932 MD5sum: 30adcee1c954207f06ed5a55c947f82c SHA1: 9fe58010bb765201981fadb3ace427097fbeaefd SHA256: bdd255b33e19a59d7e85af5fa9d6560d5ebdf14a9ceb8a44e42e20aa645ed3b3 SHA512: 035dc03fc472e162439f69f805adda259e57c31cfeeb3994a93a56621ac8e5258e894d748988423133a267e0fc836dd70504cf3a79f69c9870c80074da3bc35d 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: 3.4.0-0+Debian-buster-testing Priority: optional Section: java Source: protobuf (3.4.0-0) Maintainer: Debian protobuf maintainers Installed-Size: 759 Filename: pool-buster/protobuf/libprotobuf-java_3.4.0-0+Debian-buster-testing_all.deb Size: 688524 MD5sum: f7470ba26cd23cc9248bcf96b8976257 SHA1: 53955c27fb595f7de2d0662d701b1f4685c6c8f2 SHA256: ac1df138e0d571c60d424c760a5b9ddba81459310742972f337e5af6a1539d92 SHA512: 815a95cce212f198d2bfb8b915e9630acc48646b51699513768b93a975dade040d3ec1ca69510790bd37d66a545034c5d664d0215b3fb9be4411e78f6849a0d0 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. 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 Java bindings for the protocol buffers. You will need the protoc tool (in the protobuf-compiler package) to compile your definition to Java classes, and then the modules in this package will allow you to use those classes in your programs. Package: libprotobuf-java Architecture: all Version: 3.6.1.3-2~bpo+Debian.buster.testing Multi-Arch: foreign Priority: optional Section: java Source: protobuf (3.6.1.3-2~bpo) Maintainer: Laszlo Boszormenyi (GCS) Installed-Size: 1095 Filename: pool-buster/protobuf/libprotobuf-java_3.6.1.3-2~bpo+Debian.buster.testing_all.deb Size: 1009784 MD5sum: cf8f1ae4cccb22d46b3124ef0b6117c6 SHA1: f318a778e0f955b7ee66502efcf330f94133fd1d SHA256: 399be008e850f372fa061b6d6ec680fb0dab52aa1e18e3062316ee3a0619775b SHA512: b33a82c31c12c9050f2e46f50a362e831498c56209b7b3173df5972c35ab7b22b99a638b0e5e557262ac61cf1d4771fcb68b32f6d4134b9d60b02a277b78a53a 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. 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 Java bindings for the protocol buffers. You will need the protoc tool (in the protobuf-compiler package) to compile your definition to Java classes, and then the modules in this package will allow you to use those classes in your programs. 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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. 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Package: libprotoc-dev Architecture: amd64 Version: 3.4.0-0+Debian-buster-testing Multi-Arch: same Priority: optional Section: libdevel Source: protobuf (3.4.0-0) Maintainer: Debian protobuf maintainers Installed-Size: 5644 Depends: libprotoc14 (= 3.4.0-0+Debian-buster-testing), libprotobuf-dev (= 3.4.0-0+Debian-buster-testing) Breaks: libprotobuf-dev (<< 2.1.0) Replaces: libprotobuf-dev (<< 2.1.0) Filename: pool-buster/protobuf/libprotoc-dev_3.4.0-0+Debian-buster-testing_amd64.deb Size: 756298 MD5sum: f4d2b5359d8d1c515683a4958fdacb3e SHA1: 7b277e1fab49016b9843c7f788171df1d35fac02 SHA256: 723973551b3bc6df165a179c3d512572b1ca46748b8d31d42d65e236e84b3583 SHA512: 40a0fcc13b84aae84fccb40b56dc06c11425d8fd989cfc6f0ea48ca87e22e99cac6e1c2e772af6829cec530c39565c65ae18ef798564e41d0bed08ab05364d67 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. 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 library needed for writing protobuf compilers. Package: libprotoc-dev Architecture: amd64 Version: 3.6.1.3-2~bpo+Debian.buster.testing Multi-Arch: same Priority: optional Section: libdevel Source: protobuf (3.6.1.3-2~bpo) Maintainer: Laszlo Boszormenyi (GCS) Installed-Size: 5973 Depends: libprotoc17 (= 3.6.1.3-2~bpo+Debian.buster.testing), libprotobuf-dev (= 3.6.1.3-2~bpo+Debian.buster.testing) Breaks: libprotobuf-dev (<< 2.1.0) Replaces: libprotobuf-dev (<< 2.1.0) Filename: pool-buster/protobuf/libprotoc-dev_3.6.1.3-2~bpo+Debian.buster.testing_amd64.deb Size: 776026 MD5sum: a74a7facf1488ce30a64921a3316ca50 SHA1: 4c3f94a670942eeefb84235edf8c0e4c2fee30d6 SHA256: 892799c93173864eef804bad4f735fa83b7994f8558396822f45f8eef531736e SHA512: 55093dfd1951a47747b2c8c1c1118e68284cae3fccfebd60e89a7a54fee00594c4099cc179c8410a62e604c26ec3d6c479b290882be3728bb508b0df1d5734a0 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: python3-protobuf-dbgsym Architecture: amd64 Version: 3.4.0-0+Debian-buster-testing Auto-Built-Package: debug-symbols Priority: extra Section: debug Source: protobuf (3.4.0-0) Maintainer: Debian protobuf maintainers Installed-Size: 1895 Depends: python3-protobuf (= 3.4.0-0+Debian-buster-testing) Filename: pool-buster/protobuf/python3-protobuf-dbgsym_3.4.0-0+Debian-buster-testing_amd64.deb Size: 1707758 MD5sum: 731237640fb413ff100a60e8c75986e8 SHA1: 3ab462a9e97d421afe4682eaa02576d9f5e923ef SHA256: e3bef4ddf5c810a1606205a653a6f445c36e2365f7bf38621f9c234c38a12257 SHA512: 4f9d177e4384c6b154c83d422c5e3f0ba3a6b51d440373e1ef205daf401b0e7c3013e24c6db29beae611064e2ef1e849424b0493cfdf9e044d91703c91960ae8 Description: Debug symbols for python3-protobuf Build-Ids: 24ef89a43f94695c26d5f22172fa2096fc9978b2 2e40f8b408a97e21ebc0dcfd021acb68b56f51ea 5de7d172657245886041cf29c1c619b7372aa456 5e850c14597f998ebda760aaf95143649170dc20 Package: python3-protobuf-dbgsym Architecture: amd64 Version: 3.6.1.3-2~bpo+Debian.buster.testing Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: protobuf (3.6.1.3-2~bpo) Maintainer: Laszlo Boszormenyi (GCS) Installed-Size: 1232 Depends: python3-protobuf (= 3.6.1.3-2~bpo+Debian.buster.testing) Filename: pool-buster/protobuf/python3-protobuf-dbgsym_3.6.1.3-2~bpo+Debian.buster.testing_amd64.deb Size: 1146178 MD5sum: d90cc3703bc3d6a14a544903f5bc33f8 SHA1: e74fbf99b963863d2f78b68576f178dc5326cc15 SHA256: 17e640777ed44565f347a439c3d3ed838bee30ff96a95700f45849500a0939be SHA512: 51fbbc9151e25ea2a69b034024a21159a26e8ac30a75617ccc57b04a1f9e3143e3066d93c0964ee5307f8c35632f8b6c0a98bd6a19d7a533f6300959e107a184 Description: debug symbols for python3-protobuf Build-Ids: 77aefc4ebeee3ff9889e5f010c1bb3c2d6b4e449 f0f4796d3b46bf58a6964fdd788c5a5f85cc2f50 Python-Version: 3.7 Package: python3-protobuf Architecture: amd64 Version: 3.4.0-0+Debian-buster-testing Priority: optional Section: python Source: protobuf (3.4.0-0) Maintainer: Debian protobuf maintainers Installed-Size: 2868 Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libprotobuf14, libstdc++6 (>= 5.2), python3 (<< 3.7), python3 (>= 3.5~), python3-pkg-resources, python3-six (>= 1.9), python3:any (>= 3.3.2-2~) Filename: pool-buster/protobuf/python3-protobuf_3.4.0-0+Debian-buster-testing_amd64.deb Size: 319878 MD5sum: d35ca3ce02db84ec2aa79b3ce548a5bb SHA1: b4cd6822d1f3ac3b5c127423cb1d5c57a6b867e0 SHA256: 0300f77d225b0fb40557c72140a9abc29a711b031e7a51772fe95cc3f9912fbb SHA512: f010a64376c858f30bf38c80d6b8570a38149c12ec1c4cf1edd18f2395ee8c507951b1678de9161bcad8053812a62a96ce98087bde802d81545687ac61a28ac4 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. Package: python3-protobuf Architecture: amd64 Version: 3.6.1.3-2~bpo+Debian.buster.testing Priority: optional Section: python Source: protobuf (3.6.1.3-2~bpo) Maintainer: Laszlo Boszormenyi (GCS) Installed-Size: 2749 Provides: python3.7-protobuf Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libprotobuf17, libstdc++6 (>= 5.2), python3 (<< 3.8), python3 (>= 3.7~), python3-pkg-resources, python3-six (>= 1.9), python3:any Filename: pool-buster/protobuf/python3-protobuf_3.6.1.3-2~bpo+Debian.buster.testing_amd64.deb Size: 334946 MD5sum: 6892e5592cd62bdc3c0fca3e0d09458e SHA1: 496ef0167b3040f618802cbff4967bb6cb1f8442 SHA256: fbb9858e93a62978b792cdef7b22513464167a0efeb192c402d0d88a49a55926 SHA512: a727f6c1dff9483f9ca25bd54d1752190e18b30a81f3417da971fb6ea43e6232a3ec57687e3d3fd308118782122aca4fc6f3dc7cc6f4c45b13b310e1d8f3f6a5 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: 3.7 Package: ruby-google-protobuf-dbgsym Architecture: amd64 Version: 3.6.1.3-2~bpo+Debian.buster.testing Auto-Built-Package: debug-symbols Multi-Arch: same Priority: optional Section: debug Source: protobuf (3.6.1.3-2~bpo) Maintainer: Laszlo Boszormenyi (GCS) Installed-Size: 571 Depends: ruby-google-protobuf (= 3.6.1.3-2~bpo+Debian.buster.testing) Filename: pool-buster/protobuf/ruby-google-protobuf-dbgsym_3.6.1.3-2~bpo+Debian.buster.testing_amd64.deb Size: 526310 MD5sum: 7e82a688979830836927b879b1637bc5 SHA1: c8da309b9e9293fc55907514aa76b21f4daf15e1 SHA256: e176b8322b361f550e47f41184330d19e3ab98669472b85dd4652507c30c0939 SHA512: 808c63ddd20f9cc41d001a07b66dded4ce1c61b023e7eb5249942d2b161a501d8172e012f1f5460dd3a2499ffb1ca039c078489bcc4fd18cc6bdf5333a6c6ec6 Description: debug symbols for ruby-google-protobuf Build-Ids: 5c39e75f1b3fad9c8ed61b6e99bd641a8c257505 Ruby-Versions: ruby2.5 Package: ruby-google-protobuf Architecture: amd64 Version: 3.6.1.3-2~bpo+Debian.buster.testing Multi-Arch: same Priority: optional Section: ruby Source: protobuf (3.6.1.3-2~bpo) Maintainer: Laszlo Boszormenyi (GCS) Installed-Size: 501 Depends: ruby | ruby-interpreter, libc6 (>= 2.11), libgmp10, libruby2.5 (>= 2.5.0~preview1) Conflicts: ruby-google-protobuf (<< 3.6.0~) Replaces: ruby-google-protobuf (<< 3.6.0~) Filename: pool-buster/protobuf/ruby-google-protobuf_3.6.1.3-2~bpo+Debian.buster.testing_amd64.deb Size: 166590 MD5sum: 449636b75edcda5ca28516c458f2c109 SHA1: 2cf21148f2f880f955dd47d5bd106e5c651c4840 SHA256: 7d233704ee5f94728ce445e37523aed1f0af03603f7b233c61c91d1c752aa22f SHA512: b87df708af6bcd75000eb3ba7eaf2577ed36788c81a787bbf63e55fa6f56685d9a5af5214e3faa37b34f45db4754df01ef04e7e283e13293afb46bb90a818443 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: ruby2.5 Package: python-pyglet Architecture: all Version: 1.3.0-1.1~0+Debian.buster.testing 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~) Recommends: libasound2 | libopenal1 Filename: pool-buster/pyglet/python-pyglet_1.3.0-1.1~0+Debian.buster.testing_all.deb Size: 1435236 MD5sum: b1446988e97f305710c8df5f0204f311 SHA1: 3cbd310c6a3ce1750d537269b7b3f77578710350 SHA256: 27e7ebcd88804d5ddabb78db1f0d055f6c46d1662aeecb5359e51190dd30df30 SHA512: 52e3e339835b10b3137fcf2fe15e78780d012f0d793f0f83a9d4b28964b8caa46189bda34fa0f4d9474c17c6cf033d83d2ba546354b6311c91ece2520c19b481 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.buster.testing 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-buster/pyglet/python3-pyglet_1.3.0-1.1~0+Debian.buster.testing_all.deb Size: 1434312 MD5sum: dffbb1623aa44e41076e95f60fb0d980 SHA1: 36c1fc527ade3d7471ccdc93aa8911db49363a4e SHA256: b3736c5f92b7d0f43d211bcfc772dcf3d6e6c49de140a46586fcd29a9534abc2 SHA512: 5518bcd229223ae598e83b43d199334220ed7f24fa6ed15a9d056fef952509c5f447f49aa214b3c890e68d58b9d38dada1765974a4b66629deeda24a7faff1d0 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.buster.testing Priority: optional Section: doc Source: astor (0.7.1-1) Maintainer: Adam Cecile Installed-Size: 149 Depends: libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common (>= 0.4.0+dfsg) Filename: pool-buster/python-astor/python-astor-doc_0.7.1-1+Debian.buster.testing_all.deb Size: 36950 MD5sum: 97bb408c1edd8bc2617c37d1bc86f320 SHA1: 3ed4e26b94ac9efb937ca2a7113897d9af96f11d SHA256: 4547ac3085a557edf8bfadb0abb4dbbc1c3280cc959ba9f5e835642549b3c6d4 SHA512: 102df35cfdb56eae2760cc5327753abb234dcb56570566e1679ad99255a3b42ef3bede1fde2741decd5f977e2a1c77d1173ecadb38a12144530875e265dd5c9f 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.buster.testing Priority: optional Section: doc Source: astor (0.7.1-2) Maintainer: Adam Cecile Installed-Size: 161 Depends: libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common (>= 0.4.3+dfsg) Filename: pool-buster/python-astor/python-astor-doc_0.7.1-2+Debian.buster.testing_all.deb Size: 40214 MD5sum: f3dcf75bb50c7d4c58ed75c31112e9fc SHA1: fdf35977e7bd4521e68c269b6770d52ccf0d8ac5 SHA256: ff28e282f54b3d51c8b5b214ca308b609e17f6aeddc8bca81e7f3116e903740f SHA512: 40d6c8c40eb882fff72d6ef2e6e7e9fb5d503ea84adab29c927352ebda8063b2a9ad1a9dea2d0b60df45193f8b593e2a394429549cee57a6c5abdd1faff9c616 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.buster.testing Priority: optional Section: python Source: astor (0.7.1-1) Maintainer: Adam Cecile Installed-Size: 9558 Depends: python:any (<< 2.8), python:any (>= 2.7~) Suggests: python-astor-doc Filename: pool-buster/python-astor/python-astor_0.7.1-1+Debian.buster.testing_all.deb Size: 1585400 MD5sum: b79acd7bb21b9d529c453212b3532e4f SHA1: 4a4f25d1771eea6a141e2bf5b8c8500d555501eb SHA256: 36517e4fa47ff57a53dda85ce2fa446d8d10c4bb2ba8ce1c4dfb3a312bdf3a4e SHA512: 4b8f8dce12da39b37b010ff10a66c06e51a9cd0d77ed01586fdccd36203e3fe57655e238bdf3b2f83e1c26f267c6230bb143a105fd0d9f11df567e8f3d33063e 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.buster.testing 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~) Suggests: python-astor-doc Filename: pool-buster/python-astor/python-astor_0.7.1-2+Debian.buster.testing_all.deb Size: 25274 MD5sum: a126cd74a4da485a57650c889ff62a9b SHA1: 644d4e6c881eb87fe34b80e0fdaa146bd5016460 SHA256: f200c5181bdc8d5e41a81cddc7334b034820600ca847627f1266c4abdc9adffe SHA512: 9269b6180aca19481a8d322052c53626ae029fef5bf7633a0e5b5fc4f5d186c6ef4b8a968de39f9a53901e4a6f9ddc22d4d7e93345d86ce581a009a3b15ae03f 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.buster.testing Priority: optional Section: python Source: astor (0.7.1-1) Maintainer: Adam Cecile Installed-Size: 98 Depends: python3:any (>= 3.3~) Suggests: python-astor-doc Filename: pool-buster/python-astor/python3-astor_0.7.1-1+Debian.buster.testing_all.deb Size: 25042 MD5sum: da0efcfc94a6c9b82602631531f94c13 SHA1: 19e844ef11c40b01637245c64de398e1143f435d SHA256: 0528951bfe87863bfe330acfe5675eda3fbf29bd5e36e746c084805025cf1414 SHA512: 08d78f4d1a27013712a00996884fa66fb66fbc587828bdc09f72970f861c6fe6bb39e84207871c3054580a3f594477e6218f3e3b537cd6491aaacaeaa0f8337d 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.buster.testing Priority: optional Section: python Source: astor (0.7.1-2) Maintainer: Adam Cecile Installed-Size: 98 Depends: python3:any (>= 3.3~) Suggests: python-astor-doc Filename: pool-buster/python-astor/python3-astor_0.7.1-2+Debian.buster.testing_all.deb Size: 25362 MD5sum: efbf88799c2b88663a040d8c1c3b800a SHA1: 487b6d5e19ad72de44251803a11a4f7b2e8bc76e SHA256: 02ec2608f252f3e066c2f4498163c67d4115713033fa559f503fddb67384eeb9 SHA512: a5bce4a5910d731105ca82784dfb7aab27c31e0b72d052368101a6151ab3c4b994b0d41164a8bfd30f337ae07c4a1c0fc24318a62033c5ffe85cd5dde123dbde 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.buster.testing 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 (>= 0.4.0+dfsg) Filename: pool-buster/python-astunparse/python-astunparse-doc_1.5.0-1+Debian.buster.testing_all.deb Size: 22854 MD5sum: 0143d8c8df675aae48c32989ad97d2b8 SHA1: 83cdc8c2895067e7bce9a4acc0ca9cb18456f06b SHA256: 5962cf7d4814efb7a933cc49d8bc60d61a41ea330ca954cde8428f3f3a2ddfde SHA512: 8f94be45e8aa27870243d7292b4eb71d13551da3eab69be6ef29ec2a54c05de8c093164a70d9e813c6788bab27435fe63c814f797615b4f77705f99b2ea2ed94 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.buster.testing Priority: optional Section: doc Source: astunparse (1.6.2-1) Maintainer: Adam Cecile Installed-Size: 158 Depends: libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common (>= 0.4.3+dfsg) Filename: pool-buster/python-astunparse/python-astunparse-doc_1.6.2-1+Debian.buster.testing_all.deb Size: 26466 MD5sum: 6b4534395cb911fcd9f491d1bae4703f SHA1: 0175a3666f10c40e57cee25c0dde47654f60b8e5 SHA256: 51acb5d84c971df37860c2ca5a968fc122150831464c63745b40f25ad2a64f86 SHA512: c28cfed5e67549d1fc0869d0c0f9015dea6ac45544e652b35246526429ef0958a72aa4501168610c917fabef1cacd9a0a934c824d455425faa692804f08c4495 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.buster.testing Priority: optional Section: python Source: astunparse (1.5.0-1) Maintainer: Adam Cecile Installed-Size: 55 Depends: python-six (<< 2.0), python-six (>= 1.6.1), python:any (<< 2.8), python:any (>= 2.7~) Suggests: python-astunparse-doc Filename: pool-buster/python-astunparse/python-astunparse_1.5.0-1+Debian.buster.testing_all.deb Size: 11648 MD5sum: ed2e00c5485ae90e1955999e4e987d0b SHA1: e7e7eb1c7c484f023311ef105f3a836792884fe7 SHA256: cc98c17e240e912c4f4477fbec90f1e370541c1df5e792df86ae017bbd129ba1 SHA512: 4e7bf9948676fe9219a3a19e4f9a2360ba64231b868550b3f3bab906ed9d65cf73911afb4552653ab7455e80cc121ff226eac48725db363da40cf192aa9cd43d 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.buster.testing Priority: optional Section: python Source: astunparse (1.6.2-1) Maintainer: Adam Cecile Installed-Size: 58 Depends: python-six (<< 2.0), python-six (>= 1.6.1), python:any (<< 2.8), python:any (>= 2.7~) Suggests: python-astunparse-doc Filename: pool-buster/python-astunparse/python-astunparse_1.6.2-1+Debian.buster.testing_all.deb Size: 12352 MD5sum: 771705257aea6c7a1c9c906b5e67e337 SHA1: 2c1a52f8d08005a29b28344789e8b41f18eb6a5f SHA256: cb894e2d29c06cfcc5c867642ee8f2d6c18342b8ee5dd405d1b6f8bccd1a029f SHA512: b2920349b10e86a9f6fd638009348693613c9a8e38a06282c54b2a89c6aa9d56db1fab09cb77ccdc1220ab82fe4325d58150240c843543f087277dfb5837b6a2 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. 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This package installs the library for Python 3. Package: python-bayes-opt-doc Architecture: all Version: 1.0.1-0+Debian.buster.10 Priority: optional Section: doc Source: python-bayesian-optimization (1.0.1-0) Maintainer: Adam Cecile Installed-Size: 16975 Filename: pool-buster/python-bayesian-optimization/python-bayes-opt-doc_1.0.1-0+Debian.buster.10_all.deb Size: 17000560 MD5sum: 925c11a89d51fdd70305065a3bd5d946 SHA1: 8c2406caff896000450ad31768ec575d480f85da SHA256: 6c08d56e4f7f5f98039b11b701d7b1a6306c97ea33b1a7f84a2dfbb71fd91d60 SHA512: fa440ec58da2bd34e756ef7b5078ea15ac76904fc0e457ddfce4359deb697b17d913fb320c90604aad8e235c9e27543fcbb61896b185145f6073734442a2012c 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. 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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. 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Package: python-fastrlock-dbgsym Architecture: amd64 Version: 0.4-0+Debian.buster.testing Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: python-fastrlock (0.4-0) Maintainer: Adam Cecile Installed-Size: 76 Depends: python-fastrlock (= 0.4-0+Debian.buster.testing) Filename: pool-buster/python-fastrlock/python-fastrlock-dbgsym_0.4-0+Debian.buster.testing_amd64.deb Size: 54828 MD5sum: c16bceacff6c5d9451b4b20b6539070a SHA1: fb0ff4a11b0081dfe0d89b1761f678d61f8775ce SHA256: c3e76937bd2b8855eb0433ac853e3f888d3225e07f3dcacfec1fb08947f9870c SHA512: a48275221b77a4361dc644aac033cb1a49bac02cd55becb3bc089e73ff7f85ddb4e23cc0100ffe44c8c4b33b481599ff0d521aefdeb5e168ff0f9ccb19837cb4 Description: debug symbols for python-fastrlock Build-Ids: 265a6caf048d7e832bc6d47c16558b9832dbda20 Package: python-fastrlock Architecture: amd64 Version: 0.4-0+Debian.buster.testing Priority: optional Section: python Source: python-fastrlock (0.4-0) Maintainer: Adam Cecile Installed-Size: 89 Depends: python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7~), libc6 (>= 2.4) Filename: pool-buster/python-fastrlock/python-fastrlock_0.4-0+Debian.buster.testing_amd64.deb Size: 23438 MD5sum: 181824b426d632b05bbcecb1d3227fa4 SHA1: 8cbf611b8b858ba00dd03194b8a2ee19d0f81440 SHA256: a88696eed76160c2aaf0029830709b6c051655834d5229b52c9174dd327eafca SHA512: 1ae7603b0f337f155cf98e3c25d49afc873710d6c5094eb471fa989dd9071035b0b627208a5d5b092c97fda69f8011228bd543932b73d5eab68a6fe5f7114361 Homepage: https://github.com/scoder/fastrlock Description: Fast RLock implementation for CPython (Python 2) This is a C-level implementation of a fast, re-entrant, optimistic lock for CPython. . 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Package: python-gast Architecture: all Version: 0.2.0-1+Debian.buster.testing 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~) Filename: pool-buster/python-gast/python-gast_0.2.0-1+Debian.buster.testing_all.deb Size: 8176 MD5sum: 9f69056fc6acf10c5709c21110516b17 SHA1: 3c41c6b6a151aecb2dd71bc050df4c4566ac723c SHA256: fb34977b7946a6be520a587b100aa371d281c883a239d9be264641b9ec02f8e6 SHA512: 4117663a73cc8d1d69cb5c76b52f86a8c0178cd4a44f2e81af2d68c6b1e3c1417c1bcd7a36a3704d3de099248a794e9dedc7eaffb78be06f5c66508bc95fe436 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. Package: python-gast Architecture: all Version: 0.2.2-1+Debian.buster.testing Priority: optional Section: python Source: gast (0.2.2-1) Maintainer: Adam Cecile Installed-Size: 45 Depends: python:any (<< 2.8), python:any (>= 2.7~) Filename: pool-buster/python-gast/python-gast_0.2.2-1+Debian.buster.testing_all.deb Size: 8116 MD5sum: c5cf1bfb58bf232b52bdba04681bb9f1 SHA1: b48cf444940bbd599efcf06d5e2616e6339cdda4 SHA256: cc5bc4d0a45731e407f2a44d3fb189592dfd57759823bfda650b5e32a69e10b3 SHA512: ee6e7cc630273d2bf7a2cf60503b1fe909777ea6c2b19199afb7d106ba19b8733ef626f25c3d7fcc1ac15116372648012748d56c0deeededefe6376e5314f7f3 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. Package: python3-gast Architecture: all Version: 0.2.0-1+Debian.buster.testing Priority: optional Section: python Source: gast (0.2.0-1) Maintainer: Adam Cecile Installed-Size: 46 Depends: python3:any (>= 3.3~) Filename: pool-buster/python-gast/python3-gast_0.2.0-1+Debian.buster.testing_all.deb Size: 8240 MD5sum: b9c1da80d860177bc9ae8e58da64bd46 SHA1: e9881cc200c729345ff4c131fb5c0bebd33b48cf SHA256: 47c69a604d5ae96ed8147fc3bb95d0a9ef597cf9f5105cac213b571bbcb7dbda SHA512: f152ec24d25acbdc5ef50d6825608da23c403bd2067eaa4c8a17c35403842fd89797b147e673fbb47020bea316b027a2728b6d01672873d06e85d5a4ff450622 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. Package: python3-gast Architecture: all Version: 0.2.2-1+Debian.buster.testing Priority: optional Section: python Source: gast (0.2.2-1) Maintainer: Adam Cecile Installed-Size: 45 Depends: python3:any (>= 3.3~) Filename: pool-buster/python-gast/python3-gast_0.2.2-1+Debian.buster.testing_all.deb Size: 8212 MD5sum: 21ab446ba593978bd3781f5915aa53be SHA1: d6b7de56b0d6141537be9c2aea3beacd312dfcb3 SHA256: a37e2d639019c93ddc44eb11806853558608239270fbdebabcfc23bda0b77d4a SHA512: 5b1a182057eaff995c0f5d1b268a9d6a23834b6a175b3fcf11d77f2dda52c599cd5556f0602df4e209a4e9376f56beec74fa78581fc645520895ff0758054d0d 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. Package: python-grpcio-dbgsym Architecture: amd64 Version: 1.14.1-1+Debian.buster.testing Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: python-grpcio (1.14.1-1) Maintainer: Adam Cecile Installed-Size: 4572 Depends: python-grpcio (= 1.14.1-1+Debian.buster.testing) Filename: pool-buster/python-grpcio/python-grpcio-dbgsym_1.14.1-1+Debian.buster.testing_amd64.deb Size: 4218682 MD5sum: 3898f37488ac0b9ab13b88da98049d3c SHA1: c594730603df558af5d8e51fcb38029461babdc9 SHA256: a234fc4901c44aa77e085bc38d20f69ebbbca753901b8c6a497652723676753c SHA512: 81e9ed85696eec6f07191cce858694c15d0a375c1f4e5f8928d9d4b3a0934117c25b9f70ca8bd20871c132b23adf707d6277a59d6c5b0723092560bf652edfb1 Description: debug symbols for python-grpcio Build-Ids: bf71f280ef3735e1bebb0f21a48af0614437b7b9 Package: python-grpcio-dbgsym Architecture: amd64 Version: 1.20.0-1+Debian.buster.testing Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: python-grpcio (1.20.0-1) Maintainer: Adam Cecile Installed-Size: 6553 Depends: python-grpcio (= 1.20.0-1+Debian.buster.testing) Filename: pool-buster/python-grpcio/python-grpcio-dbgsym_1.20.0-1+Debian.buster.testing_amd64.deb Size: 6172746 MD5sum: 45bc9673af3c2d19192c4321813c4b5c SHA1: 58adee277a5d331de0076eac1b87ebce350b2508 SHA256: ef538ecfaf0226e10ee0ba18d40c497f1757ec07e8684a6a69aab1f1883162df SHA512: 746fa58267ef1159ce033f293d7b0da51aac8b199458f965cf26f62cee7b0231cbd2de32e8dcdaa067c26ed1da32616af274252700bea60dcfde3bdf7f96a727 Description: debug symbols for python-grpcio Build-Ids: 8e0b433f45010cb610da69723c72636889824d5c Package: python-grpcio-doc Architecture: all Version: 1.14.1-1+Debian.buster.testing Priority: optional Section: doc Source: python-grpcio (1.14.1-1) Maintainer: Adam Cecile Installed-Size: 1175 Depends: libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common (>= 0.4.0+dfsg) Filename: pool-buster/python-grpcio/python-grpcio-doc_1.14.1-1+Debian.buster.testing_all.deb Size: 77938 MD5sum: e35f16edcf842a27a03bf65f0482150c SHA1: c97cc5c65e4aae142fad6d9636d840ed752fe76e SHA256: b568c5a5913bbad742fbd72c4db521f9151c304687171bba4447e938b914ceb1 SHA512: a0b7ddbecfbfdaa3ed9de93fe7381b605a74b17063ff401bf16171e55e2f9abb4255bd7b03e5e5a4bf4f3f97d3c7dc96c269bedb75666a44c3b29832b7f8fa40 Homepage: https://pypi.org/project/grpcio/ Description: High performance, open-source universal RPC framework (common documentation) gRPC is a modern, open source, high-performance remote procedure call (RPC) framework that can run anywhere. . 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Package: python-grpcio Architecture: amd64 Version: 1.14.1-1+Debian.buster.testing Priority: optional Section: python Source: python-grpcio (1.14.1-1) Maintainer: Adam Cecile Installed-Size: 2335 Depends: python (<< 2.8), python (>= 2.7~), python-concurrent.futures, python-enum34 (>= 1.0.4), python-six (>= 1.5.2), python:any (<< 2.8), python:any (>= 2.7~), libc-ares2 (>= 1.11.0~rc1), libc6 (>= 2.12), libssl1.1 (>= 1.1.0), libstdc++6 (>= 4.1.1), zlib1g (>= 1:1.1.4) Suggests: python-grpcio-doc Filename: pool-buster/python-grpcio/python-grpcio_1.14.1-1+Debian.buster.testing_amd64.deb Size: 748438 MD5sum: cb65d95b8906be1a8d5a3b7bfb1ecf2e SHA1: fb17cad352f029bb24b0e9efad2a75cdff6eafd7 SHA256: b3f2a4cd9e5b8c13db818dca2b14a242ce42557a9de610d6ec25f5ef8dd325ea SHA512: 38a6273000be138947ff08b371754a779e785620f7fd73b2ec6c534c34c21a7dc172050e2f1ae13cd3657c33ce1ce8fde04eb786c76ab0e6dedcbf73446fbc14 Homepage: https://pypi.org/project/grpcio/ Description: High performance, open-source universal RPC framework (Python 2) gRPC is a modern, open source, high-performance remote procedure call (RPC) framework that can run anywhere. . 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Package: python-grpcio Architecture: amd64 Version: 1.20.0-1+Debian.buster.testing Priority: optional Section: python Source: python-grpcio (1.20.0-1) Maintainer: Adam Cecile Installed-Size: 2683 Depends: python (<< 2.8), python (>= 2.7~), python-six (>= 1.5.2), python:any (<< 2.8), python:any (>= 2.7~), libc-ares2 (>= 1.11.0~rc1), libc6 (>= 2.12), libssl1.1 (>= 1.1.0), libstdc++6 (>= 4.1.1), zlib1g (>= 1:1.1.4) Suggests: python-grpcio-doc Filename: pool-buster/python-grpcio/python-grpcio_1.20.0-1+Debian.buster.testing_amd64.deb Size: 848114 MD5sum: e7570d4b95170e29602c98235f13698a SHA1: 9f546538fe717ce72e0a03daea83ed2f6829e118 SHA256: 82f5496f681e2df3b64ea8cefd96205fe2d9edf32ce84c642849bec6a1c0e096 SHA512: d14c58434432cc2562b9f8b82a3b803bfd064b1774180d11a5aae43fa4cbc7424535d31c3fb48f39ab2ff65effd9c6af4b9e4e665acd215d40a5085eed36183f Homepage: https://pypi.org/project/grpcio/ Description: High performance, open-source universal RPC framework (Python 2) gRPC is a modern, open source, high-performance remote procedure call (RPC) framework that can run anywhere. . 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Package: python3-grpcio-dbgsym Architecture: amd64 Version: 1.14.1-1+Debian.buster.testing Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: python-grpcio (1.14.1-1) Maintainer: Adam Cecile Installed-Size: 4708 Depends: python3-grpcio (= 1.14.1-1+Debian.buster.testing) Filename: pool-buster/python-grpcio/python3-grpcio-dbgsym_1.14.1-1+Debian.buster.testing_amd64.deb Size: 4357070 MD5sum: 083c5a8850427cd6e9a4992edf392b74 SHA1: 03fb7cd5838dcf730186bcd328e565479f571213 SHA256: 798d0ba734856aff5bcc02a6ed3720df0d1ace635656aed8c3c34b6e58a9e4b7 SHA512: c4beba778eb2ec836e4dbdc48273363910c010a7ab68c8d5afc6222519a12453694d008b769fb29e04353c031f8b7677b56e399480026a622804254ed02aea99 Description: debug symbols for python3-grpcio Build-Ids: 7ef42485ed1f1dceb87a50e9c5a6b412105f55c6 Package: python3-grpcio-dbgsym Architecture: amd64 Version: 1.20.0-1+Debian.buster.testing Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: python-grpcio (1.20.0-1) Maintainer: Adam Cecile Installed-Size: 6721 Depends: python3-grpcio (= 1.20.0-1+Debian.buster.testing) Filename: pool-buster/python-grpcio/python3-grpcio-dbgsym_1.20.0-1+Debian.buster.testing_amd64.deb Size: 6344778 MD5sum: 442cf51b30e4d0352c0f80c98983faf4 SHA1: 72f9317cbc2ff99a59dd24959d11cd5ef103437d SHA256: 1633af957ca01a8a828470a8136fe8dfb47ec79bcae7aefa2e4137cfe0334638 SHA512: 1366f8b7e90ba768090d9bbaba739248df2069418b6a3e1c3d2e186ab5aa388ca4949db660b8a99b9df042b99c977313ebd9980d01b3b6a441f2d29f5f6fcb49 Description: debug symbols for python3-grpcio Build-Ids: 475e9e49c448621b0d33ba304bf3047f71104c6d Package: python3-grpcio-dbgsym Architecture: amd64 Version: 1.38.0-1+Debian.10.buster Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: python-grpcio (1.38.0-1) Maintainer: Adam Cecile Installed-Size: 37588 Depends: python3-grpcio (= 1.38.0-1+Debian.10.buster) Filename: pool-buster/python-grpcio/python3-grpcio-dbgsym_1.38.0-1+Debian.10.buster_amd64.deb Size: 36933192 MD5sum: 8cf81b9b994004c9bf7b525cd35dc778 SHA1: 744cc2cbc5f9c7e692ec9b41f3720c1fea896248 SHA256: 5d2e2baf4f79218af0d54180c7cdc4c0dd890f6b12bfd4595ef3746365f64754 SHA512: dbbc181077883430788f4fe9eeac386eefe3366fff71dd1f2480e2c9137f9fd30a9a08077520a3711ef6ddce70692e070b4a6180fa273181240a394e55c05588 Description: debug symbols for python3-grpcio Build-Ids: c6dc92c36652502622e0e11ea924d0d75da650de Package: python3-grpcio Architecture: amd64 Version: 1.14.1-1+Debian.buster.testing Priority: optional Section: python Source: python-grpcio (1.14.1-1) Maintainer: Adam Cecile Installed-Size: 2355 Depends: python3 (<< 3.7), python3 (>= 3.6~), python3-six (>= 1.5.2), python3:any (>= 3.4~), libc-ares2 (>= 1.11.0~rc1), libc6 (>= 2.12), libssl1.1 (>= 1.1.0), libstdc++6 (>= 4.1.1), zlib1g (>= 1:1.1.4) Suggests: python-grpcio-doc Filename: pool-buster/python-grpcio/python3-grpcio_1.14.1-1+Debian.buster.testing_amd64.deb Size: 753074 MD5sum: a03b177adbf579399ad742399faee4fd SHA1: d60cd283fcf1757be4abd301ddb2ff0214116c9b SHA256: e3ea42736e088afe5d3f856ba09f35c5b68279495d175fa9087925795482f914 SHA512: 7539ffa184189d6f92bbbef2c8237de2e77ccf277a97adfa2b21577cf0bf8bbd5b038b22e8e54e7d1ccb95b671c9aa2e7a44f7b9c84ac7743457d17b80e176c8 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. . 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Package: python-importlib-resources Architecture: all Version: 1.0.2-0+Debian.buster.testing Priority: optional Section: python Source: python-importlib-resources (1.0.2-0) Maintainer: Adam Cecile Installed-Size: 39 Depends: python:any (<< 2.8), python:any (>= 2.7~) Suggests: python-importlib-resources-doc Filename: pool-buster/python-importlib-resources/python-importlib-resources_1.0.2-0+Debian.buster.testing_all.deb Size: 8396 MD5sum: d7cdeda748f0be2faf7843735a68881e SHA1: 2bbace183311dc1afea2c35aed9b548ee0afd83b SHA256: a35ff49221f74b018ecd3f1bd4a4717cb7ad45d71b8253ed871183c627ba8d08 SHA512: da3c33be6261c9d0f621c1a493877059e177c8125fa223a3f8c0b950a85065752e70a3babc30a451a1645772063184f4759d31a5dfe6990e610e4a8d2cc743d2 Homepage: https://importlib-resources.readthedocs.io Description: Backport of Python 3.7's stdlib importlib.resources (Python 2) Backport of Python 3.7’s standard library importlib.resources module for Python 2.7, and 3.4 through 3.6. 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 2. Package: python3-importlib-resources Architecture: all Version: 1.0.2-0+Debian.buster.testing Priority: optional Section: python Source: python-importlib-resources (1.0.2-0) Maintainer: Adam Cecile Installed-Size: 40 Depends: python3:any (>= 3.4~), python3-typing | python3 (>= 3.5) Suggests: python-importlib-resources-doc Filename: pool-buster/python-importlib-resources/python3-importlib-resources_1.0.2-0+Debian.buster.testing_all.deb Size: 8832 MD5sum: 1fee3c13ef269c1c75534d149faee200 SHA1: 46b441eb7b17f8572c5f7a2ba467ecbc9a82b14b SHA256: b1f468a65a52354d7811911694f4f2e638669856d903384fb4adff543506186f SHA512: bd233cc3a81b85fb8f77c2551840eff071084c334197a82897fe6710ee957ebe81f6c3b9c57d972c7b1e09362133c371587470be7a0508ca3c899174a0087b94 Homepage: https://importlib-resources.readthedocs.io Description: Backport of Python 3.7's stdlib importlib.resources (Python 3) Backport of Python 3.7’s standard library importlib.resources module for Python 2.7, and 3.4 through 3.6. 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.buster.testing Priority: optional Section: doc Source: onnx-tensorflow (1.2.0-1) Maintainer: Adam Cecile Installed-Size: 17 Filename: pool-buster/python-onnx-tf/python-onnx-tf-doc_1.2.0-1+Debian.buster.testing_all.deb Size: 5608 MD5sum: 1d17b010326cc4f80b1ea89e7ebb67bc SHA1: ca715db21ad84003c2bfe3aecc032de605ab8a59 SHA256: a0fbad99ac6c4ed0a687a95f97ec4cf757381e624bc19a0623898e8e4f31f744 SHA512: 125f4f7fc34e0177051c78816456e3b95b4b2d569b06a3f240895ac7df586f938d18440deeb6eea19211a8285df8221f7a54cb93f7b101f3294909845cedd180 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.buster.testing 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~) Suggests: python-onnx-tf-doc Filename: pool-buster/python-onnx-tf/python-onnx-tf_1.2.0-1+Debian.buster.testing_all.deb Size: 43354 MD5sum: 807bb8cef66eb7fdfada613f514b0bdf SHA1: ef908b3deccd4c72e005283dba67f0f665804e50 SHA256: 926f39d580495de417172efa3e6a42282c9eb690c84e591f60179a37068a9e6e SHA512: 7f7319ccdeb1bc08b50117afc36c40c666ed7b12c943324f09ae3b7f961a7625297e60b007a641fc7423f880d7df34b035db7d58a166fca711b9c05743691a4c 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.buster.testing 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-buster/python-onnx-tf/python3-onnx-tf_1.2.0-1+Debian.buster.testing_all.deb Size: 43470 MD5sum: b4725dc9a0990c5c67f29014661368e0 SHA1: f8e14bbe13a874bc24acbdab176eeaec94e29c97 SHA256: 8b3b4a3d8bd216786f1c4c373bd75d78f081f4613fe3da270fe435b308ade550 SHA512: 36dfad84500eac7a22bb43519600c194ad23c8951f71d2d37667fa047cc104fe6ff5c8c865f97d230dd3d4b00f17c3a0bbca114f97f40e189d99729cc76d4a5d 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.buster.testing Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: onnx (1.3.0+debian-1) Maintainer: Adam Cecile Installed-Size: 12373 Depends: python-onnx (= 1.3.0+debian-1+Debian.buster.testing) Filename: pool-buster/python-onnx/python-onnx-dbgsym_1.3.0+debian-1+Debian.buster.testing_amd64.deb Size: 12025820 MD5sum: ca7eeb552bd69706ff771e32da77a020 SHA1: 60aac3e33752b382737749dae4e1da7b5d0a4017 SHA256: 52215aea8851115cbc8db596c248cca4953cb2fff8b657cdc4f0706d1318ffea SHA512: dd995a8986c2d67067c4b5d3ecb564024a486d28b4fec693e7b10586436d7cc61db027bb5342175877adcff084794b4da89cb282040a04a3b74f5d9294efc4a4 Description: debug symbols for python-onnx Build-Ids: a0110b091cbe7ee521fc5d5b157f2ca2273fca69 Package: python-onnx-dbgsym Architecture: amd64 Version: 1.5.0+debian-1+Debian.buster.10 Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: onnx (1.5.0+debian-1) Maintainer: Adam Cecile Installed-Size: 15317 Depends: python-onnx (= 1.5.0+debian-1+Debian.buster.10) Filename: pool-buster/python-onnx/python-onnx-dbgsym_1.5.0+debian-1+Debian.buster.10_amd64.deb Size: 14916620 MD5sum: ef8ab14195a628b23dc0f215f5133f7e SHA1: 63fd40ea8fb147d264f143f24a6d9a1443fc7679 SHA256: 04f793c8a37ec6835648dbfc191ab66ce345b0afa2f47f373f5985da30c8d625 SHA512: d4550510773663585b3377bd7ad49ce510e1849bb0943bc0c209a84729fa1a8a7bf6569ee9e819b6b0d49e463d8e715aa4c82629ae9ef25f85a1a54c7d20dccd Description: debug symbols for python-onnx Build-Ids: c17a139343edc96b32c8b315bbf568044221d9e0 Package: python-onnx-doc Architecture: all Version: 1.3.0+debian-1+Debian.buster.testing Priority: optional Section: doc Source: onnx (1.3.0+debian-1) Maintainer: Adam Cecile Installed-Size: 238 Filename: pool-buster/python-onnx/python-onnx-doc_1.3.0+debian-1+Debian.buster.testing_all.deb Size: 198978 MD5sum: 9c7e1ae7457cdfb2a957f395ccb45136 SHA1: 099d6d1d99f316341fa4509d32bed75ee5962e7c SHA256: b7281a743189e596dd4d5ce79719e9696ff01a2034ef626a64a25fbb6b6c2013 SHA512: 8937017083f7189e91c12ac644dfb8d1985f95ba602a274c4621560db60d4fdd2387d8cf7b9940b598a41c9982a0f5867a6175c134c778544cf56724854f3159 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.buster.10 Priority: optional Section: doc Source: onnx (1.5.0+debian-1) Maintainer: Adam Cecile Installed-Size: 281 Filename: pool-buster/python-onnx/python-onnx-doc_1.5.0+debian-1+Debian.buster.10_all.deb Size: 248018 MD5sum: 24712cc407665eefe9ddb5a3f44d485a SHA1: 7fac3e3e36d6f16d28c025d0ca9b94ba5e8c890f SHA256: e4ddab5e3981ac10be8fdd98ef0d09ebf2bade74031a8bee7eea6e2763ebdfc9 SHA512: e8f36822918bbb6ead29feb3d907fb2d662f899d52e97f978f772a6f25d189277c2d32df96d4a47d0ae0196a6534ec928c0ee1914a2ca26a623dd4948ac4f06d 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.buster.testing Priority: optional Section: python Source: onnx (1.3.0+debian-1) Maintainer: Adam Cecile Installed-Size: 12367 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:any (<< 2.8), python:any (>= 2.7~), python-typing Suggests: python-onnx-doc Filename: pool-buster/python-onnx/python-onnx_1.3.0+debian-1+Debian.buster.testing_amd64.deb Size: 1906760 MD5sum: 1d5aad33e874473462eb1c1590fa7a4d SHA1: 82e40635f42334eb102d3c638d7f984784ec64e3 SHA256: 74eb77caafdff190b6934d3b6735f21a6b6be68b21b43512ddbef98b59b71dc7 SHA512: 897d34a9f31832212ea717b6c304d32e2cc5d0d293e5f26802218a5f4b0d33d64bae8eebc3ef0fd04b463a6366dd29040cfa55598ffabfc4d9edecfbbc26eba0 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.buster.10 Priority: optional Section: python Source: onnx (1.5.0+debian-1) Maintainer: Adam Cecile Installed-Size: 13596 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:any (<< 2.8), python:any (>= 2.7~), python-typing Suggests: python-onnx-doc Filename: pool-buster/python-onnx/python-onnx_1.5.0+debian-1+Debian.buster.10_amd64.deb Size: 2046708 MD5sum: 969dbe187d1989a36679b7813325242e SHA1: d196fb3267facda70f941a75fe4fb5f5b4a7da90 SHA256: 1fb718ecae7b8fb71919bbf598f3ac8de75fa38e588a0b9f30a3f42f3925f8bc SHA512: fcc3eb9c135d367533754d8f4792c96e438813b3ee4f31fe4f51ae1ae85899fb7c2203f993337278b30b46bcd0288d2a8518185a2d358540e16d78c5fd10a12d 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.buster.testing Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: onnx (1.3.0+debian-1) Maintainer: Adam Cecile Installed-Size: 24808 Depends: python3-onnx (= 1.3.0+debian-1+Debian.buster.testing) Filename: pool-buster/python-onnx/python3-onnx-dbgsym_1.3.0+debian-1+Debian.buster.testing_amd64.deb Size: 24123536 MD5sum: f29caeddb0f0113b7b121f15f7b36aaa SHA1: 07a5954b87d90c16f542630aab0e53061cdf56fa SHA256: f3cdd4b10b4884d502616b1f6b89046dd299ab9594f56afadb1894cdd79c5f39 SHA512: 598c705ea57d04d560ae2f341f3a1435be7377e7dccc26d148f109af8e0e76f188cf3bacee25b8979ac2ca967391c49f8d4126f934d326102c5521d9da49e5d5 Description: debug symbols for python3-onnx Build-Ids: a25bf52fd52e2443f0a468df45902b61403729d4 b21884f81cf0edbb568c86030e8c42c9ac930156 Package: python3-onnx-dbgsym Architecture: amd64 Version: 1.5.0+debian-1+Debian.buster.10 Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: onnx (1.5.0+debian-1) Maintainer: Adam Cecile Installed-Size: 15353 Depends: python3-onnx (= 1.5.0+debian-1+Debian.buster.10) Filename: pool-buster/python-onnx/python3-onnx-dbgsym_1.5.0+debian-1+Debian.buster.10_amd64.deb Size: 14948764 MD5sum: 987d3fc339270daad947f420a1148ab6 SHA1: 9ffd99107a6c488435da85f09ad1c897433450ee SHA256: 1cf6e698715132fdced1a37d0e5b141434fded9b74cd2db79a6d37880ecb4ad0 SHA512: 0c81910002ea9962928219a71f4b30464b6011fe10a5c28a1affb80daa942d1cf1881a0dc7805d50f5cb5d7a30cdee4a20ab1aeb7c377c43e21e634360791e4e Description: debug symbols for python3-onnx Build-Ids: 632cae3de98263c4c63d90614b8d6b5a27195459 Package: python3-onnx Architecture: amd64 Version: 1.3.0+debian-1+Debian.buster.testing Priority: optional Section: python Source: onnx (1.3.0+debian-1) Maintainer: Adam Cecile Installed-Size: 14254 Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libprotobuf14, libstdc++6 (>= 5.2), python3 (<< 3.8), python3 (>= 3.6~), python3-numpy, python3-protobuf, python3-six, python3:any (>= 3.4~) Suggests: python-onnx-doc Filename: pool-buster/python-onnx/python3-onnx_1.3.0+debian-1+Debian.buster.testing_amd64.deb Size: 1906908 MD5sum: 1016d178331ecccda4c1ad517fddb3fd SHA1: b79c52ccf7beee4489b4ebcae1040095d98f91b0 SHA256: 5e0fc1430f76fec41644297b9a6534ef5de59fe3bc2455086a6921a9693d9767 SHA512: 9ebae4713427ffce0af44a15af4e4492e1ff26e68163188223e061eef02c2fcad3564bc920b77abe434e6a56857008c6517b5e34e601f8b5e157cbbeb7978c8f 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.buster.10 Priority: optional Section: python Source: onnx (1.5.0+debian-1) Maintainer: Adam Cecile Installed-Size: 13595 Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libprotobuf17, libstdc++6 (>= 5.2), python3 (<< 3.8), python3 (>= 3.7~), python3-numpy, python3-protobuf, python3-six, python3:any (>= 3.4~) Suggests: python-onnx-doc Filename: pool-buster/python-onnx/python3-onnx_1.5.0+debian-1+Debian.buster.10_amd64.deb Size: 2046336 MD5sum: 2ae0b4faaef216671f419bd3524cb260 SHA1: aed902e35fbf70df5010ed578d37e9f9768206c5 SHA256: 0625735d86be4092dadfe0ffbcd352b745e770cc21aa8fbf4681871865efd044 SHA512: df3491a3e8520fc80efa93b34c4f5ef535f1f1199aa71bfb85c08e9bd8b62265899cd8ad39a111082a61c4ed1a7706f650ab49ffbd8a0eba5ffb0032bb374dcd 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-shap-dbgsym Architecture: amd64 Version: 0.24.0-1+Debian.buster.testing Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: python-shap (0.24.0-1) Maintainer: Adam Cecile Installed-Size: 85 Depends: python-shap (= 0.24.0-1+Debian.buster.testing) Filename: pool-buster/python-shap/python-shap-dbgsym_0.24.0-1+Debian.buster.testing_amd64.deb Size: 72472 MD5sum: b577f5a340a122be7debe1159e921412 SHA1: 6bd5e57561c28695bfd16d094763fe5975219a7c SHA256: 0025e1903eb1a65876cf8ab88704f899f7896f930795a8449cc9033d25f6c0e7 SHA512: 275d6d701266283c1e7a4648beb29025b1c271037fe1537459ce2f7d0f1620c62a37f1d690678f8bbb3529aea35299a8a622b2cb9d0af57165ce2d8a2859d582 Description: debug symbols for python-shap Build-Ids: ed6af57e32b3bb2c1f213ecc41f8f593f4b897c7 Package: python-shap-doc Architecture: all Version: 0.24.0-1+Debian.buster.testing 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 (>= 0.4.2+dfsg) Filename: pool-buster/python-shap/python-shap-doc_0.24.0-1+Debian.buster.testing_all.deb Size: 52758 MD5sum: 86b2b585ee42ffb8c201bda3d2fe159c SHA1: 5dfd58707d28618e339816caab4b1f6801a67804 SHA256: bf044b0fd377b0f03ff81b6e240545a3366f1310682dd033b4da87144178e2a8 SHA512: 117caaf16be5f071149d3064d8e3f279cf7a097c1a5564eb0a153880cfdf691e5b5343c72e31c91274bfcf12bdf541990daa8e849cf9a04b60a73f21cec3fc0a 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.buster.testing Priority: optional Section: python Source: python-shap (0.24.0-1) Maintainer: Adam Cecile Installed-Size: 651 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 (>= 1:1.14.3), python-numpy-abi9, python-pandas, python-scipy, python-sklearn, python-tqdm, python:any (<< 2.8), python:any (>= 2.7~) Suggests: python-shap-doc Filename: pool-buster/python-shap/python-shap_0.24.0-1+Debian.buster.testing_amd64.deb Size: 153206 MD5sum: 089be34615bd5d21d0f79a6a54046cae SHA1: cf6b073b721b70d0dd72de67384fda974c4222cd SHA256: 1d36a6671d89c1c17823601c90b1e37cddb7649dbb758e888c92d18380e31c23 SHA512: 66c16677c7270f21eb54bb8671df56ceb7c18379de4abad75656526c508391915fcc9a87f009a0256df134d257605faf2e2e27f0f75db4b7554334d42402a452 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. 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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-buster-testing 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-buster/python-tensorboard/0.1.7/python-tensorboard_0.1.7-1+Debian-buster-testing_all.deb Size: 1573716 MD5sum: 421cfc01743aac72d7bdd9a47fe06116 SHA1: 2216dd244c83951acf7eb980ed9b0069684d7398 SHA256: 1b86e74e7ed9b4c431eaa0d539c35e996c29ec4bd26662fbcdf93b6889732c1b SHA512: 665a81852dbc9a8904a26e626a9575b8775e4f7201a8cc52d3e7616c4c0677dfb1c2fb11e607791be20a44bd94ee09d6942a35bd30b8be5a8df0b691d0225528 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 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: 0.1.8-1+Debian-buster-testing 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-buster/python-tensorboard/0.1.8/python3-tensorboard_0.1.8-1+Debian-buster-testing_all.deb Size: 1574168 MD5sum: 43cf6120134f6ff3231f14d72fc08d75 SHA1: 2b80a31a748bfe66da09ea741694e5cb8c166e1f SHA256: 044464900a47329578f5286f0862f927e1811f079ea19643abbbbf1f2c39edd7 SHA512: 75831d61cd6bd66d5f2cb3df4fe5808372b816b7eba6fdc776b276f02c3c480bc23b1548166b8978af6391ba45d4415d5a6bfea8475f72c1593a57cb316c9f9f 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 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-buster-testing 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:any (>= 3.4~) Breaks: python3-tensorflow (<< 1.4~) Filename: pool-buster/python-tensorboard/0.4.0/python3-tensorboard_0.4.0~rc3-1+Debian-buster-testing_all.deb Size: 1592412 MD5sum: a07cdfa4f6dc44f5cae3786f398f55ad SHA1: 96773ede963c31bb895c628ca2508c3fa8354a1c SHA256: 302fb84542cdbd89f51d24bb769e1e155c18f98f06308962c3cea9734e67a8ee SHA512: d688f0debce71909622479e7320df0f169e507bef0f69ba055b4c67330eb26e693f0662c40a810f89766de2b23cc68588b175acdee8745d45683e0291c3537b6 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: python3-tensorboard Architecture: all Version: 0.4.0~rc3-2+Debian-buster-testing Priority: optional Section: python Source: tensorboard (0.4.0~rc3-2) 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:any (>= 3.4~) Breaks: python3-tensorflow (<< 1.4~) Filename: pool-buster/python-tensorboard/0.4.0/python3-tensorboard_0.4.0~rc3-2+Debian-buster-testing_all.deb Size: 1592548 MD5sum: e6a9e3892d4f11f63ff15b4c67eb2c0c SHA1: d7f9ee25ea3f5c00c1f82c84a2a57882869c949d SHA256: f05626e2961d7ea96e38b1af841cb4a50af34fb705b18dd35541820e595da673 SHA512: 3a698fe23a1ee7a2f3f5e62eb90d266a5ac73dac81be29bd42b14d318eb3f6efe217273f2d0a8259ffd0b18771c35906498557d7c28bb5a1d5df3ed3f30a2985 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 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: 1.7.0-1+Debian.buster.testing Priority: optional Section: python Source: tensorboard (1.7.0-1) Maintainer: Adam Cecile Installed-Size: 3549 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:any (>= 3.4~) Breaks: python3-tensorflow (>= 1.8.0~), python3-tensorflow (<< 1.7~) Filename: pool-buster/python-tensorboard/1.7.0/python3-tensorboard_1.7.0-1+Debian.buster.testing_all.deb Size: 2993408 MD5sum: cb869c6cd9e28c479dcfc8af07da0853 SHA1: 9f207d918708ceb848a0986fa850329714b556f1 SHA256: cfb4ef320e91c34e8b07a63ff4c2d7b3cecc0f18a71c5a7eb632357de7e88b7d SHA512: 7cfaa867023b4fc965757a67c883aa990b44f9beebd9b464df7b333097be66562c19f8098755de3e87d414bfb9c514d1f42a39d623d69945ae72f6e7c467c416 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: 1.8.0-1+Debian.buster.testing Priority: optional Section: python Source: tensorboard (1.8.0-1) Maintainer: Adam Cecile Installed-Size: 3589 Depends: python-bleach (>= 1.5.0), 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:any (<< 2.8), python:any (>= 2.7~), python-concurrent.futures (>= 3) Breaks: python-tensorflow (>= 1.9.0~), python-tensorflow (<< 1.8~) Filename: pool-buster/python-tensorboard/1.8.0/python-tensorboard_1.8.0-1+Debian.buster.testing_all.deb Size: 3005956 MD5sum: 36517c9abfff8bb0c2e308356f0ebb51 SHA1: b772f9fad9816aa329ee060d33b97ef5afbf9740 SHA256: 2886caf87d9645609e281941984ad996f0c78e61f1a40e9cd792e8da65858773 SHA512: af82fca06132ad3180f7f368017fe62abad4f44d64891673c0179ef3cee2313db6f6fd69ae8424c135e4a25fa39db72983ef43b4d5c02de8dcc3e988742abf37 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: 1.8.0-1+Debian.buster.testing 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:any (>= 3.4~) Breaks: python3-tensorflow (>= 1.9.0~), python3-tensorflow (<< 1.8~) Filename: pool-buster/python-tensorboard/1.8.0/python3-tensorboard_1.8.0-1+Debian.buster.testing_all.deb Size: 3006060 MD5sum: f3190314461f2a6790bd8b8bc103d10d SHA1: a0c231e4d5fa26fecf51c90cd45d64cfc3863ddd SHA256: 4d22c3b510b3352a2bcf4493b33be9089652a0c40833125071267db9dd4e3936 SHA512: a8289a668d540373c94496784b0c8648e557fb218caaf768b8da3376e953289366c89679034237907d04ab63d4da529fc0ff54ab6f6f41693312c5a95d7e4473 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.buster.testing Priority: optional Section: python Source: tensorboard (1.9.0-1) Maintainer: Adam Cecile Installed-Size: 4153 Depends: 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:any (<< 2.8), python:any (>= 2.7~), python-concurrent.futures (>= 3) Breaks: python-tensorflow (>= 1.10.0~), python-tensorflow (<< 1.9.0~) Filename: pool-buster/python-tensorboard/1.9.0/python-tensorboard_1.9.0-1+Debian.buster.testing_all.deb Size: 3124456 MD5sum: 24028a292663e5ba2e026cc3bac26512 SHA1: 381664397c959133361fed3859f649ffd5c30f15 SHA256: aab5d6fdab0b1365964c6747fe856862c4fde2d863855285ddc9d45016ad1a11 SHA512: 348071e30cf0cb916a96f58be629f649a5e6623eedd52031a4bbd5b4b40c775e38059120c56d2f95f3fd048895817f0a4e1d0473d884a0fb63004c5b76f9156b 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.buster.testing 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:any (>= 3.4~) Breaks: python3-tensorflow (>= 1.10.0~), python3-tensorflow (<< 1.9.0~) Filename: pool-buster/python-tensorboard/1.9.0/python3-tensorboard_1.9.0-1+Debian.buster.testing_all.deb Size: 3124324 MD5sum: 90134798060836f63a1be25efb12b5dc SHA1: dea4823b094074f0b32301279d5c5b22135bc40f SHA256: 4a0fe7f0c4dff83e600692a218d18ebeb095aba5ffb048765773ce9a44e3ca8c SHA512: c9360b35daf707ce5b44bbe8c01b881e2668cd926e45f03e0d5b48bec8a696192915e3077da28061240b44f6b8999b38d02414437006c59ea423dcafaef5030f 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.10.1-1) Maintainer: Adam Cecile Installed-Size: 244722 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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 (>= 2.28), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.10.1/python-tensorflow-avx-sse42_1.10.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 45279330 MD5sum: 6775ca44231d9e2806b1691c4e3d4c10 SHA1: 8f9aaad91ad541d87cccd5e90c753d920236b697 SHA256: 9ea273e9caef03b1eb6c0af943c2e758ab3db6d8f29c6a99a4fad574c35acb7a SHA512: f3f52b9b7f9571e6eed108033cdbf845a6ab7904ec9db680b31bab9bb3abd6721504574fc5d968e36af5e484dcdc0e273cdb0909dbf318b2a24a62ce726c9fc9 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.10.1-1) Maintainer: Adam Cecile Installed-Size: 260054 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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 (>= 2.28), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.10.1/python-tensorflow-avx2-sse42-fma-mkl-dnn_1.10.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 47842850 MD5sum: c821b89e44d517375a8d82ca9f6f60ac SHA1: c703ea9b90ec8e57c10c416093579114b0c9b444 SHA256: e1f0152712d2a1c93c632464f1204c54caa957868e45fb2c48d344326bfd558d SHA512: c4e2bf8f791d954f7b15dab8d5888d7ebd10f2d23cc5b176ac8d2ad6d26781639a2454a312961ac28a643f8ab5a61d50f046e6d7900a93502e219e6a6a723771 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.10.1-1) Maintainer: Adam Cecile Installed-Size: 244886 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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 (>= 2.28), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.10.1/python-tensorflow-avx2-sse42-fma_1.10.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 45345246 MD5sum: e5e3014bfa3ea95f15d1509c2d05d0f9 SHA1: 5a9a21e8970ed6c1bb117fba4fd8ddaabb5bdf08 SHA256: 79fd7258d282f7f7f98fc0bc233388d3c056a7b385120bc33306ac8c8556a96d SHA512: 1c369b35cdfb1988cadc28ca8fe5530b58cdd856424d2e0f88a48d066d51c54b6af69c57dc5eb682e925621240fa6cc33657be3e9403b42870e3662049da93c7 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.10.1-1) Maintainer: Adam Cecile Installed-Size: 1187006 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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 (>= 2.28), libcublas9.2, libcuda1 (>= 346), libcudart9.2, libcudnn7 (= 7.4.2.24-1+cuda9.2), libcufft9.2, libcurand9.2, libcusolver9.2, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi3, librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.10.1/python-tensorflow-cuda-avx-sse42_1.10.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 120260996 MD5sum: 506e88e4a6c05749faf48c363998983f SHA1: 2c1d72537cd06578bfed184ff02a8577d85146c2 SHA256: f68dce8e4a5148b0e93a45c59ea4ee32da2090a81927c1ccebe23f4f030e9e2c SHA512: 8f58b94e00bb6186752ff65ae47e6c31acd4c0cf49cc9433231a667aded8342929823bf8821b9a0ec5ef1f9fc78ceabe132a940d1ef82c05ef73510dd5674313 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.10.1-1) Maintainer: Adam Cecile Installed-Size: 1202518 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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 (>= 2.28), libcublas9.2, libcuda1 (>= 346), libcudart9.2, libcudnn7 (= 7.4.2.24-1+cuda9.2), libcufft9.2, libcurand9.2, libcusolver9.2, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi3, librdmacm1 (>= 1.0.15), libstdc++6 (>= 7), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.10.1/python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.10.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 124425192 MD5sum: 13f3a7f1f9293787b2d89526c89a9bd6 SHA1: 9309ba3707f1510816cfbf2abe87f0999890bd85 SHA256: 155823cdb2f4dda957afd38c8264b0931d8b73714ccfbefeab60773dc26df4a5 SHA512: 9a96f3cc9fc47a29ec81a197f377e6259ac3f841287756efee340e8f864fa2d2c99a4ce583f9f959e61d610b52f576017bbf1f2c7f4b574f87bc229a79da15b1 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.10.1-1) Maintainer: Adam Cecile Installed-Size: 1187158 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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 (>= 2.28), libcublas9.2, libcuda1 (>= 346), libcudart9.2, libcudnn7 (= 7.4.2.24-1+cuda9.2), libcufft9.2, libcurand9.2, libcusolver9.2, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi3, librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.10.1/python-tensorflow-cuda-avx2-sse42-fma_1.10.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 120209588 MD5sum: 9ac7c4a804acad52013eb50358cf5fd4 SHA1: ea2cfd61e699cb68976285b052439217bebdf09a SHA256: a1ad08d69e243039ea635368ed0a99d1ef9adbd3ae849a7b63470069d66b2246 SHA512: f0c58ae0935af0ab38fedcdbbf1528605801f244576c9de048d6b32072cc96fb2e3cbc1e432e29398f485443a312f33467a768b910a6454f36d1dd321f604064 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.10.1-1) Maintainer: Adam Cecile Installed-Size: 12 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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~) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.10.1/python3-tensorflow-avx-sse42_1.10.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6420 MD5sum: 0dc7350e8970a243bf4883ea33cc9e71 SHA1: ee9bf3d0b9b0830513ee1b6404df69cca8405f8f SHA256: 3d9f6fe8bd8db82eeb345ffcf888065c0a3b8ba5fc44a60f7033f21e4ae6474e SHA512: 15b7c505b33dbb65c86f895d765e76116f701dde79708124defc153269cfc1e9653ba69277129193ac9846166c0c62f11ea691bd4dc377fd0d28cd520a134804 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.10.1-1) Maintainer: Adam Cecile Installed-Size: 12 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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~), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.10.1/python3-tensorflow-avx2-sse42-fma-mkl-dnn_1.10.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6484 MD5sum: 09f667eacae7a52fd55ccab76e46da8e SHA1: 6599080944531c3afdac19e106759dd66c7bd504 SHA256: 984e803b7224a16ce39fe54f48e3aeb96e9f214d2d0319b670a1331f562f53e8 SHA512: d8caec959a6fe7c2b56aaf9432eda5261646610fcefe6e817b851b4d38bc262c8cc51a2be97854670680f8843e99519efd3a64070ce87789ad0fe428b8e79d5a 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.10.1-1) Maintainer: Adam Cecile Installed-Size: 12 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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~) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.10.1/python3-tensorflow-avx2-sse42-fma_1.10.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6428 MD5sum: ee2f0f7753805114cbd020693e2771f5 SHA1: f0d35b8a6441787172fb6fe648409bd588c79f57 SHA256: fb87136ed88e5c4d6f81f515c0750013000373a6d4ef92e1a5488f7e436589b8 SHA512: a3984c3710e6a5b7d2c9e2e34bd764462493921100221f3247f1c291763839864e6e194d7f9a441972b2f5e64cf11c0627e227d4efae922317a20a025c9adb6a 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.10.1-1) Maintainer: Adam Cecile Installed-Size: 12 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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~), libcudnn7 (= 7.4.2.24-1+cuda9.2) Recommends: libnvinfer4 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.10.1/python3-tensorflow-cuda-avx-sse42_1.10.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6472 MD5sum: bff369f68596d5919a75b003caab9ff0 SHA1: 711b7d5fc65cab74db6559ab6ec19e41ea6cb089 SHA256: 5203ee7982332dd2f7baeb4648447726f95128462b4d197d9dfda0e7d7f25414 SHA512: 23ff12793855538f3d3c6cdd8f784602ff70530766aa0a5b554247dfc60be5386d75d98a3eea1f0a0459c3eb3cbabfaf18274d334ab7db8af7958b4f5e7ef4a8 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.10.1-1) Maintainer: Adam Cecile Installed-Size: 12 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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~), libcudnn7 (= 7.4.2.24-1+cuda9.2), libmkldnn0-nonfree-mkl Recommends: libnvinfer4 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.10.1/python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.10.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6544 MD5sum: 2533c18add2f499e90aee0feb481d650 SHA1: e701a1ae6287722ebbb3c7cc9bbdbc50120089dd SHA256: cfa622d73affe3c700e0e4a0a897a0b79952c03411043f54532991dedc239f64 SHA512: e0da228785bc32ba91e276af486927e7c03d96606523b961ba950c0e449803bb16fe08756e6778a38db1ad51e380ab6a3ad38d0cec4ac7a0d9a0c75e69c7d5ab 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.10.1-1) Maintainer: Adam Cecile Installed-Size: 12 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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~), libcudnn7 (= 7.4.2.24-1+cuda9.2) Recommends: libnvinfer4 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.10.1/python3-tensorflow-cuda-avx2-sse42-fma_1.10.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6484 MD5sum: 8f3493683a669392209a535550e16f90 SHA1: 1f47a4c0bb4df3005da0eb55077fc0a4fea33231 SHA256: 836b3709fdac4f56e6a6cb0e5f73a04a0943c493b012de545b0552f1ddcb843e SHA512: 48ff75b435fa749e9a7f22b5916cdab6ea5063499163d67d97d5c327a7c1a4af9a4f61e9688da150a1f934a153310652427f30f24f5bc5d156f7b65b30f38edf 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.10.1-1) Maintainer: Adam Cecile Installed-Size: 12 Depends: python3-tensorflow (>= 1.10.1-1), python3-tensorflow (<< 1.10.1.0~) Filename: pool-buster/python-tensorflow-cuda/1.10.1/tensorflow-tools_1.10.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_all.deb Size: 6272 MD5sum: 2e077bd310894e618407371ef1f4e33b SHA1: 88148b9293a0e456bf469dfae458d2c43f153000 SHA256: 097c7b2c3e57fd51df95517c925c47bcf0c35db88305bc91f0d5516201d7a7b0 SHA512: 5d3ef6e4e8ff2a5de35079fad245a754308029e759c9fccc625dd5e0558b4e5b16e9d591972e089bac5bb28ca41fe5b26d9d110e9c12d572946549b9b54e5bf3 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-1) Maintainer: Adam Cecile Installed-Size: 244718 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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 (>= 2.28), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.11.0/python-tensorflow-avx-sse42_1.11.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 45307442 MD5sum: 312457b4e21e3fb67d437fdaa3d1bff8 SHA1: 54818ee8e2e43f1535848ee0660e2b4ea3ecbfdd SHA256: 61bd6fb9c88a579daa0d5177e88f5897733b98b569e7b8f45d6044b970aab226 SHA512: 7ea6d49bee2b6dcc3e057f1e79ccc93edb2b82c59a501f970a201b14c4e517297b6b67a90586370c3417b0136f9a73e3ba967d2baf429ae19c6509002757c39b 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: 1.11.0-2+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-2) Maintainer: Adam Cecile Installed-Size: 246122 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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 (>= 2.28), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.11.0/python-tensorflow-avx-sse42_1.11.0-2+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 45520322 MD5sum: d7ca03ee95fcdf29af22776ea759a10a SHA1: 4c3cad1445e44aec96d0e7d729c86c5f49ebb5b4 SHA256: 4aa097377a08830b5129a04f03653833a30deae942e08a4df0992dadb6ff64ff SHA512: 7dd4ffe23d174f5cd8a459f9713ee7b6ff2cd7fad739ee8611338b12aff530f58d00ae1d0a479fd7d1712edecfee42e857e1b94a4b7db4923b6dd44da2b41731 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-1) Maintainer: Adam Cecile Installed-Size: 260046 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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 (>= 2.28), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.11.0/python-tensorflow-avx2-sse42-fma-mkl-dnn_1.11.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 47830946 MD5sum: 34993cd095688500450397e52faf78a0 SHA1: 2773c666c5b11b21faba1087ccdba52c0f0a4823 SHA256: c930b09739a1d26a9eeb8d9cc248125300629dc898c0bde96e9ab793ba07996f SHA512: dd40caf2053ea08e801d5de180fb8c56392ff7888ac689a99e1596e11369ec7047a2c6c788a37c88b259f0bcffa89de625c8ca7148e7fdd3d821845b63ec74d5 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: 1.11.0-2+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-2) Maintainer: Adam Cecile Installed-Size: 261494 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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 (>= 2.28), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.11.0/python-tensorflow-avx2-sse42-fma-mkl-dnn_1.11.0-2+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 48080374 MD5sum: 193a51536dce0f636a52acfde2e9dfaa SHA1: 0eba7505b1f522789362368045d7007c62835570 SHA256: 546eb8c2902c444ad7acff8217761637986804a363dd8844f60c638576607d22 SHA512: a679f3c6539626df045a1643eeb3ba5d8891b7f51ae7b3faa5cd306697b41c08d6f04c1fbcabc1bdf8af81c8876a5cac8be18d50a4f195c8e71627708700c6ab 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-1) Maintainer: Adam Cecile Installed-Size: 244878 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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 (>= 2.28), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.11.0/python-tensorflow-avx2-sse42-fma_1.11.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 45345786 MD5sum: fcfc5ae4af5e78e43026a13628529082 SHA1: 798820e3f9a124ee4f85a81e43f1e4d75b029b13 SHA256: 0f03c6c4a8e3d9d6964190b9513ff9c6548af03b380f8ae636855dfbc1dc2fd3 SHA512: 9a9dc39fc6e8b2607d63eb0ee638fd7c22c57ae54cc8219a1c126b9fc4c06780d3372bea381a812b7b94bc6e46c95bc97b0a689294b738fba2ef8b69c30f3605 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: 1.11.0-2+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-2) Maintainer: Adam Cecile Installed-Size: 246202 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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 (>= 2.28), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.11.0/python-tensorflow-avx2-sse42-fma_1.11.0-2+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 45533814 MD5sum: d646b4c9542b9bbd7f918b3386c44451 SHA1: fe56803e6415bbb5389a40ecdcbafef9276037ae SHA256: b40afb5bb12933e333da656e2a12b2a039f34b3ef72c8f9a418c1073847c2fcb SHA512: 95fc803e684f510e8bb29f4449d23dbfd94400138c0a461606ae1920c135ec3cf614241ddc1853672394866fb93bc3d1c1fc0ca5a6d4d67b97583760286434c1 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-1) Maintainer: Adam Cecile Installed-Size: 1187006 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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 (>= 2.28), libcublas9.2, libcuda1 (>= 346), libcudart9.2, libcudnn7 (= 7.4.2.24-1+cuda9.2), libcufft9.2, libcurand9.2, libcusolver9.2, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi3, librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.11.0/python-tensorflow-cuda-avx-sse42_1.11.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 120286548 MD5sum: 77dcf04ddbbb66d4ac3ce67bbcef8fa9 SHA1: 58873c0ccefb7af386567a7889c6a380c9821b6f SHA256: 2583d602d7207d144d4d9405b11479192e93538873d4665a38f8d9476602a3c1 SHA512: 1f413a881ae0347f4854e513739f559f34a38b791c8b61e5b559417a13322ece857ba0f22ff8fd880b056c3e30ecb4f92337cf3ae9a74da5c9c92c6602f89b84 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: 1.11.0-2+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-2) Maintainer: Adam Cecile Installed-Size: 1187006 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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 (>= 2.28), libcublas9.2, libcuda1 (>= 346) | libcuda.so.1 (>= 346), libcudart9.2, libcudnn7 (= 7.6.4.38-1+cuda9.2), libcufft9.2, libcurand9.2, libcusolver9.2, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi3, librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.11.0/python-tensorflow-cuda-avx-sse42_1.11.0-2+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 120239052 MD5sum: 5b1d59ff23a81116910118ea7893d53b SHA1: 6512cb028d554439ea8c69f653a25916bc2855c4 SHA256: 29f02668b621f191f127c148df38cfa0211dd996d87b07b4ae32d2c5133dfc70 SHA512: 624904adfb55dd7cabf889825d44d9dfb4ca90c7d2a6274b2f53e920e5b7064c17e2d2e40a5b1c09e3e4678516fb0796b3c0248ced2bf04682690aea85f67ec2 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-1) Maintainer: Adam Cecile Installed-Size: 1202518 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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 (>= 2.28), libcublas9.2, libcuda1 (>= 346), libcudart9.2, libcudnn7 (= 7.4.2.24-1+cuda9.2), libcufft9.2, libcurand9.2, libcusolver9.2, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi3, librdmacm1 (>= 1.0.15), libstdc++6 (>= 7), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.11.0/python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.11.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 124406512 MD5sum: cb80cfc0c0714776b1941762a3f3a596 SHA1: f0becf3aa4ab8af9150a54cc39ca6fba6d9533d1 SHA256: ccaea4b95a73cc9f63d32bc5ccd9af2159a7d78d644b9f6254435f432f859f25 SHA512: 28ec5f4e538f05f297f564e233efd10a1f306daf131a26b49fa166b4bc846ebba5cf527693089a1fb1a7414d651219b11d92d8e7ef830528f2645ffbd55e924a 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: 1.11.0-2+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-2) Maintainer: Adam Cecile Installed-Size: 1202518 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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 (>= 2.28), libcublas9.2, libcuda1 (>= 346) | libcuda.so.1 (>= 346), libcudart9.2, libcudnn7 (= 7.6.4.38-1+cuda9.2), libcufft9.2, libcurand9.2, libcusolver9.2, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi3, librdmacm1 (>= 1.0.15), libstdc++6 (>= 7), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.11.0/python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.11.0-2+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 124420200 MD5sum: 5f58bc846ec59bb61aba08dfc9233c42 SHA1: df3c5e97be3a739d6fcc8a3e5ace5ec0001885f4 SHA256: a35d136987075ecd258a631c69f24aa63e6bf5ae2105c7adbfe3c781b9c6f45b SHA512: 0e03b93445d86d9c1f98e1895f5e41e1f973ec3abccb83a50ca0211778f70b9b56416ca2700f2d06dd277934064a2e4b6f28e6b7fd0708ce1c52aa70f767eca3 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-1) Maintainer: Adam Cecile Installed-Size: 1187158 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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 (>= 2.28), libcublas9.2, libcuda1 (>= 346), libcudart9.2, libcudnn7 (= 7.4.2.24-1+cuda9.2), libcufft9.2, libcurand9.2, libcusolver9.2, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi3, librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.11.0/python-tensorflow-cuda-avx2-sse42-fma_1.11.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 120198856 MD5sum: 98efa8406669beaac912e0b8d6bf4f45 SHA1: 20cc8d2fcf09f03927a7535e6fc44f6f6cbe4685 SHA256: 846404be4712cde9ddc8683c094ff694af533b3aea3429c7badb4846b3b60353 SHA512: 00b4e84294c370d7f8f89bcb93c580d04d8e116708b359e330f47432c23e4627b663137c81c160a9c275fc0b80183504452b6f05e0be907ca89230af53a8e4ce 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: 1.11.0-2+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-2) Maintainer: Adam Cecile Installed-Size: 1187158 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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 (>= 2.28), libcublas9.2, libcuda1 (>= 346) | libcuda.so.1 (>= 346), libcudart9.2, libcudnn7 (= 7.6.4.38-1+cuda9.2), libcufft9.2, libcurand9.2, libcusolver9.2, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi3, librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.11.0/python-tensorflow-cuda-avx2-sse42-fma_1.11.0-2+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 120167908 MD5sum: 145eb7c86b1f6449599c71ba152ca779 SHA1: 361859f6238201ecd0c8e747dad939aa35ca6e4f SHA256: 6aa0ff0d1e93cdba7df00f0d61be3550476773e93164e430dc3b9d3dd0bc9fb2 SHA512: 008add992616ca11ab015ae81153caf165d1f108f29d4813d9e371f57d432ce4f6eb3122e35aab98d79bae015ca9f0c0cab83f77b7d5fac78889c056f20d2392 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-1) Maintainer: Adam Cecile Installed-Size: 12 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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~) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.11.0/python3-tensorflow-avx-sse42_1.11.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6460 MD5sum: a5627a50c9b67903746bb1bffa5fbe92 SHA1: 9805375548258ead9bec5c9b071a599d725827d8 SHA256: 4922bb47bea8cb179c3e1bddf0e4adea440cc237569e1298736addf0c6429c30 SHA512: cc7ab1759d51453720e374ec3e698a906360a94ab88469b4f402b3e9d79971e67229295ebddb028272dfe49321fb93c84e6751ad31680d9497f4cd7d6ce06362 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: 1.11.0-2+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-2) Maintainer: Adam Cecile Installed-Size: 12 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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~) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.11.0/python3-tensorflow-avx-sse42_1.11.0-2+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6476 MD5sum: 90f416d0cc98c9cf0e175d8515f2fc49 SHA1: bca2636b2054f80015e42162fef02949ab999bc0 SHA256: 0b7407fa497c5979ea27e6698d2bd275713bd3e49e3fe5d6e717a4492c38d1bd SHA512: ccc29f4a8d3f3f0136729314d4d7ed57e017e7dc306daca1cb1087ab3bd3525feac217dcef2e46dcb376dc0b2ce19a9f86ed281bdbb3e5d328ba7ca07b35b4fa 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-1) Maintainer: Adam Cecile Installed-Size: 12 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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~), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.11.0/python3-tensorflow-avx2-sse42-fma-mkl-dnn_1.11.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6528 MD5sum: af9b63171fcfc94dc402ac46536ab38b SHA1: 919f2086fe54f2a080d72f44d0ff5b069ede54e9 SHA256: 82a493ac8d1ed9f6b729049879228eebbcc2b323df60f581e3f9764bd565e720 SHA512: 869241850fe1e8ed1c640c4be3c773de7030c99720809716d3fcc272d7c1323f1d03e2663785191734205bf9708fa7bb0ae78b4616b1223271be0c6df1a73cc0 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: 1.11.0-2+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-2) Maintainer: Adam Cecile Installed-Size: 12 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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~), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.11.0/python3-tensorflow-avx2-sse42-fma-mkl-dnn_1.11.0-2+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6552 MD5sum: 5e9c3e0dd7b3185ae1fec95394ed884e SHA1: e66c4c7a6de009e3d8fc7bad575f22c347bc2869 SHA256: d75ca9fe757af6848bd2dc4b7f574e0b23ff3dff2c47490c0dc18f9cf867b135 SHA512: 69c428cf2d5f9a342d8063977d39eaab162890cb81873f92f6e659cf0f4ce1c35a799f2e4402f1828efc75d53149a59de00102f19301a658450a4c6749f9f836 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-1) Maintainer: Adam Cecile Installed-Size: 12 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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~) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.11.0/python3-tensorflow-avx2-sse42-fma_1.11.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6472 MD5sum: 067dca5507ea67777260fa1ef366c33b SHA1: d7adb5e91976daba5fbab83f670486ffc5c42fe6 SHA256: 85863408596f587b0e44466c5dfc8c42b7327721adf3b8e0ff474b209ef1e20f SHA512: a58c7c40bab5d6bd6982a8df13731053fd879a8e8b55e4539983b0d3bb3e4fc06691619a9ebd8624e0f41323cae0926e66439656178c41ebd4c65ad40a74aada 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: 1.11.0-2+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-2) Maintainer: Adam Cecile Installed-Size: 12 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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~) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.11.0/python3-tensorflow-avx2-sse42-fma_1.11.0-2+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6488 MD5sum: 6ab3199490c845bbdcc7aedea8a21c89 SHA1: fe2b4672bd2664163c1039bab7aef27632d94c3a SHA256: f48a29d326f4fb2d1c16915e6d9013e375fe9eef3dde5d3bc548ecd5a5edfd4b SHA512: 7aa7731c31aedc8176b864c85d1e921974e9d318aba4ca06cd885f671e72468c4f5fc2d2f0c151797ee5058a4ff5761a9cd4f4922e32caa4bbd942e6fe3f8865 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-1) Maintainer: Adam Cecile Installed-Size: 12 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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~), libcudnn7 (= 7.4.2.24-1+cuda9.2) Recommends: libnvinfer4 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.11.0/python3-tensorflow-cuda-avx-sse42_1.11.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6516 MD5sum: d5e2bbfd2e1f0f75bf7305176d32a482 SHA1: a5a5573f9e103f4effa7e132bf43cddc5a000047 SHA256: 290e3ec1669c17f5489050fb877ba712b237fc4d5894db0d8834ac316f4eea5a SHA512: 8c4331173b491e0a4149110d9cc5ff6fb8c37c5b70bb375d4c8d522b5d200ecb7c43fccb53ec3b4df3b4e33b75a5f86fd754fd3e8b4d38ba831e3ba4b1ed6785 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: 1.11.0-2+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-2) Maintainer: Adam Cecile Installed-Size: 12 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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~), libcudnn7 (= 7.6.4.38-1+cuda9.2) Recommends: libnvinfer4 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.11.0/python3-tensorflow-cuda-avx-sse42_1.11.0-2+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6532 MD5sum: 741fff49d0a80dd707a0246569e8500a SHA1: 4ca5e79f9ad2d9621440aebd0de8dc2101719df3 SHA256: 279dc576c3ca91e667b7f961bb76de548970d058547119dbf5c67a5f3bf1cd43 SHA512: c93b67affafd034d482bdb29ced3a7fdea593ba825e41378d17b251155a17d11c8415649879484870f086c9e6711536d25ddeb09c7f083801a848e2d82f09b55 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-1) Maintainer: Adam Cecile Installed-Size: 12 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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~), libcudnn7 (= 7.4.2.24-1+cuda9.2), libmkldnn0-nonfree-mkl Recommends: libnvinfer4 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.11.0/python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.11.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6592 MD5sum: 5f5f172de2dcec3b5a3f396f1b919171 SHA1: 0c24ddde3d9e742bacdd7538a4611ae7d7c99688 SHA256: f02bd5b944182c0e6c3b5aee42fcda98cd3390dde1291fece0cc2087f2ee07d2 SHA512: 5dc8835f1f18a14e1a02f3573191624048bb1cd4f42ff28918082d032f4d79061dfbc8944448d072ee7f0ec5e99252627c40d5d47160bb0dd8dcb347a562af8d 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: 1.11.0-2+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-2) Maintainer: Adam Cecile Installed-Size: 12 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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~), libcudnn7 (= 7.6.4.38-1+cuda9.2), libmkldnn0-nonfree-mkl Recommends: libnvinfer4 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.11.0/python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.11.0-2+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6604 MD5sum: 598ec0a8e86f94c9437c4c798ebbb96c SHA1: 1fdc56fff094988af7b840b52fcfa31d8f5ac3d4 SHA256: 969b36ca0b22f5fda28c23e7c9235be1cbe4a6c953ca72cf94e5bba87b646bef SHA512: dbb5fe239096c4eac958a71925215a73a930ea7e021d3f0d2bff0c666472150eeffa03092d4d1d462223d48afe9c3b7b2c05c60ed42926729f3e97276536ced9 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-1) Maintainer: Adam Cecile Installed-Size: 12 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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~), libcudnn7 (= 7.4.2.24-1+cuda9.2) Recommends: libnvinfer4 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.11.0/python3-tensorflow-cuda-avx2-sse42-fma_1.11.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6532 MD5sum: c779ac2047de52bfc1c31082e793b297 SHA1: ad58f356f15d8a9bb12ec3940128d60aecaf502a SHA256: 3434833079263ea8288301ac40e7c00ca0d756bee7d6c6503b68a5449daea646 SHA512: e70ac88d99018d0ff640cdb5c2745de0f6b3ee9cf49b10cd08ef8fe8e727bab9c18757def608f98bebff7551e7ceed7dfdb8c653412009d9697fa08905f86164 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: 1.11.0-2+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-2) Maintainer: Adam Cecile Installed-Size: 12 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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~), libcudnn7 (= 7.6.4.38-1+cuda9.2) Recommends: libnvinfer4 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.11.0/python3-tensorflow-cuda-avx2-sse42-fma_1.11.0-2+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6544 MD5sum: 0bb512e6c1e5bdf4305375b04efbf3ef SHA1: 13bdea23602492bbc16718bf30bbd5fce9f578fe SHA256: 60706f8ef863f2082cd76775bd9109f017d74cb07cd664b304b39591843cf641 SHA512: 1dc7b35c7b29072d4b113d4cebcd503e445d0dd61a5ee4b795a088e99f43246fbb40f5b331dcf93be96b7d28c373da0aac53d1937f3402c611eadfa735e1d282 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-1) Maintainer: Adam Cecile Installed-Size: 12 Depends: python3-tensorflow (>= 1.11.0-1), python3-tensorflow (<< 1.11.0.0~) Filename: pool-buster/python-tensorflow-cuda/1.11.0/tensorflow-tools_1.11.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_all.deb Size: 6320 MD5sum: a5f2acd4b76ac5fcad89dfb048418c11 SHA1: 98cb6c0f4d9f0bb4515e4585941d1971652db5c4 SHA256: 7a62b535c31b4d9e07ad45aaadf478ff8bd97f4d0f9be7f763a37c6231e2e2b0 SHA512: 6bc21493c7f58a3978ba4372cc4a1e273218ee752a818a8a69b22379fde9974af001cbd755c8bed61a63695df0948c67e90066827078e0affbd559e192ac9fd3 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: 1.11.0-2+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.11.0-2) Maintainer: Adam Cecile Installed-Size: 12 Depends: python3-tensorflow (>= 1.11.0-2), python3-tensorflow (<< 1.11.0.0~) Filename: pool-buster/python-tensorflow-cuda/1.11.0/tensorflow-tools_1.11.0-2+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_all.deb Size: 6336 MD5sum: 38db2e1aca4f11365b66afa4d8c83389 SHA1: 5e8fed11445eba1efdddbd3c28be987e249030ae SHA256: f0e0353a1af4b71894dfe089a6124b7e0ad40c3556fcc5e4583667d4406c2490 SHA512: 6b57e501d5272ef637124d056595303a40cda98e39db9eda696d65ee650cefba3b926550d67594848b1a240c98bf359555448df8fedb8e87a825b891fb8449ac 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: 1.12.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.12.0-1) Maintainer: Adam Cecile Installed-Size: 262445 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python-keras-preprocessing (>= 1.0.5~), python-tensorboard (>= 1.12.0~), python-tensorboard (<< 1.13.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.28), libgcc1 (>= 1:3.3), libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.12.0/python-tensorflow-avx-sse42_1.12.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 48120426 MD5sum: 6f12cc694bb9ce84ce0c1a6c8ea0b65f SHA1: d85dc7af833a9f27921163a958a019fbbdf54c94 SHA256: 715982c3387951e0de8b044395c805a9cafc02479cb06cdaae21e62ce065ef71 SHA512: 8c3b71239093c046fb4e7b764b86d9a85711d59b3ea1ac1855e84ab6fb452d944c3715e9f2276d95d7adf9be6546c676b485a05325bd3636113609614ff20a81 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: 1.12.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.12.0-1) Maintainer: Adam Cecile Installed-Size: 273340 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python-keras-preprocessing (>= 1.0.5~), python-tensorboard (>= 1.12.0~), python-tensorboard (<< 1.13.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.28), libgcc1 (>= 1:3.3), libstdc++6 (>= 7), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.12.0/python-tensorflow-avx2-sse42-fma-mkl-dnn_1.12.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 50443362 MD5sum: 76d9663110231b1e17cadface87c40dc SHA1: 160e6642679374150b691f763f24c7ad1567e8cd SHA256: ff9e0395b92c0d0b14156cf5738dd3726d14ac9238a3ac3ee0b61ddd0a5b979a SHA512: 8ae2bf896af07e2c5bf6fa46544f3c55c8099ca7c5af266304b12f8e7acdc40386feeea3443d6c2092773c27039ac729c262064b535d335817e6ba514493bd73 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: 1.12.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.12.0-1) Maintainer: Adam Cecile Installed-Size: 262701 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python-keras-preprocessing (>= 1.0.5~), python-tensorboard (>= 1.12.0~), python-tensorboard (<< 1.13.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.28), libgcc1 (>= 1:3.3), libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.12.0/python-tensorflow-avx2-sse42-fma_1.12.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 48168358 MD5sum: ed9ea5264dfdb46957419ec0272a58c0 SHA1: 00cf3d6c06f97b20f1c2c00ee1ef4eb13345204d SHA256: 70adc83f5082af5b9fa9438e3341c14205dc17ac64896b3da9d176818c906ac6 SHA512: c7f7640ed122e32c50b55636a8e5d03be9f216c0bccec0e9bdf5538583c2fee3516383b08cf91cf2e667e6dd993f06f1c9a48799c7a09e6057c5d546d9ce9a12 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: 1.12.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.12.0-1) Maintainer: Adam Cecile Installed-Size: 1231445 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python-keras-preprocessing (>= 1.0.5~), python-tensorboard (>= 1.12.0~), python-tensorboard (<< 1.13.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.28), libcublas9.2, libcuda1 (>= 346), libcudart9.2, libcudnn7 (= 7.4.2.24-1+cuda9.2), libcufft9.2, libcurand9.2, libcusolver9.2, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libnvinfer4, libopenmpi3, libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.12.0/python-tensorflow-cuda-avx-sse42_1.12.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 125670136 MD5sum: 811939370dcdd5482715c19e925fecaa SHA1: 6839bf49a4905f7636e7d8acab9e7ae57f1b4bfc SHA256: 5f7e1141da1c6228f1051e33e3d1a3fe7ae1329151d80623c84572f99ac364f7 SHA512: bd9174c8cfe80a8dd72be9e9400854f5484631a8211fe4f0c5dc51f0902a6daefbc9e3b8fdd5b94aef593b5ccc2034d9b4a012b7e2da3844965ae68c07a0ba61 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: 1.12.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.12.0-1) Maintainer: Adam Cecile Installed-Size: 1242803 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python-keras-preprocessing (>= 1.0.5~), python-tensorboard (>= 1.12.0~), python-tensorboard (<< 1.13.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.28), libcublas9.2, libcuda1 (>= 346), libcudart9.2, libcudnn7 (= 7.4.2.24-1+cuda9.2), libcufft9.2, libcurand9.2, libcusolver9.2, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libnvinfer4, libopenmpi3, libstdc++6 (>= 7), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.12.0/python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.12.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 127945200 MD5sum: b34f103e643ec7fda23714f5f889c57f SHA1: ad83709e2d2cb894436dae41edf1eca9a486303b SHA256: 9dc836f5332da5a7ed37fe70c4a77c3307d58872725567decb4c1123836a313f SHA512: 965680c9cf953fde328d37a951f15acda3c59abf7b3fc0048087fb53b83339fa938d02ab548c79f8ca353e8d0a1e6f7053b8f66e93f203b48b6d662df7fb79be 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: 1.12.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.12.0-1) Maintainer: Adam Cecile Installed-Size: 1231585 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python-keras-preprocessing (>= 1.0.5~), python-tensorboard (>= 1.12.0~), python-tensorboard (<< 1.13.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.28), libcublas9.2, libcuda1 (>= 346), libcudart9.2, libcudnn7 (= 7.4.2.24-1+cuda9.2), libcufft9.2, libcurand9.2, libcusolver9.2, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libnvinfer4, libopenmpi3, libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.12.0/python-tensorflow-cuda-avx2-sse42-fma_1.12.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 125643492 MD5sum: 15137022daa137a0e0b1bc4de085e6e5 SHA1: e99684862865628c4efb275d883c89d8d68560a9 SHA256: 04dd3e93976751f546177d6242d9ab4e7de8218fdce4ba8f09f5e390a13c23e3 SHA512: ebe5430539ef3c3ae981d35d1399f0cedb4d2f47f9c0ae17e0e76e7e046c61d2d4f78378f61d2de6c8236acb933479bc82e7a886a6166198772f9c751d219108 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: 1.12.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.12.0-1) Maintainer: Adam Cecile Installed-Size: 12 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.12.0~), python3-tensorboard (<< 1.13.0~) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.12.0/python3-tensorflow-avx-sse42_1.12.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6640 MD5sum: 3028337e0a4adf0a858a7f087d606a93 SHA1: 5b5e30d10472c9aad76003cbdc3ad629418cb079 SHA256: 5cbb523f592deb2dec2a87e682b4f59f59230b53ecf595143d3b0bb904971795 SHA512: a5405148da8c1d81fc314a613c94f288ad5ddaea7bc503d0026e765e6fbc96e197248b6421c16901e8ff4b2b9348daae69c9612f2bdb8893f20897684380ea36 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: 1.12.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.12.0-1) Maintainer: Adam Cecile Installed-Size: 12 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.12.0~), python3-tensorboard (<< 1.13.0~), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.12.0/python3-tensorflow-avx2-sse42-fma-mkl-dnn_1.12.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6712 MD5sum: 71d13a3a7db17fc9275729d5ddc8f7cd SHA1: 980b8709596726c02641b03af42010880ae6cf0f SHA256: d67ab635fcdd29be07dbea28b8798dae09699315ee481ff86c3786f457ffad8f SHA512: 6f48d243c004777ce1e6ae08250e0ce2f9eeb86422c03c8726a6b7ff36a4a201ec87ae429a22fe9258844095a3db7125e4e47ab2ffa40c8f9eeb2bdd5e74ef48 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: 1.12.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.12.0-1) Maintainer: Adam Cecile Installed-Size: 12 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.12.0~), python3-tensorboard (<< 1.13.0~) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.12.0/python3-tensorflow-avx2-sse42-fma_1.12.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6656 MD5sum: cf3b4ec45028e8fc7c72a468bfce81fe SHA1: 8438c7ad41dcd5a05d5791ef9ac61004dca4c2b7 SHA256: da1b2cb35a9c08a3a647715107bc80113459f4d327237e9021e56cbf13a62d1c SHA512: 17aba4be7af803ce1058301849ac6cebaaaad9f9095f72fc792559ccce6931956c087d3a34aeeb29714332541f3121a699b19d2730d9993d33d850337dc7ebb1 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: 1.12.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.12.0-1) Maintainer: Adam Cecile Installed-Size: 12 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.12.0~), python3-tensorboard (<< 1.13.0~), libcudnn7 (= 7.4.2.24-1+cuda9.2) Recommends: libnvinfer4 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.12.0/python3-tensorflow-cuda-avx-sse42_1.12.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6688 MD5sum: 1253baa4f36fa30fce7325038b461eb9 SHA1: e36f55351c2bd3dbbe5ee2b83961e6f5c7d3ef1a SHA256: bf7b5cb05c989505b5cae6705bbee7899ab3a49ab3028f289d6990b0583ae6b5 SHA512: e5b3f05a5c7ab168972e6218a9eab6c8109222309bf5083a91f0e0c49fa717303d93c7d0c244885ebef43ef67796a5efba777dd1da06c05f27c82b3ece1ac0c3 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: 1.12.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.12.0-1) Maintainer: Adam Cecile Installed-Size: 12 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.12.0~), python3-tensorboard (<< 1.13.0~), libcudnn7 (= 7.4.2.24-1+cuda9.2), libmkldnn0-nonfree-mkl Recommends: libnvinfer4 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.12.0/python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.12.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6764 MD5sum: e1c2e6dc9d41fb5c1330c5c1a5fff493 SHA1: 1d2328dc3c14dec6e7614dd75dc2c06ffa92b524 SHA256: 95084fa1e59cc74fae7e097ba6bc67015c900f855e452a3d8310e2fd98b45f0b SHA512: 87e682d70162077b42a62aa0f7f583f32da062bb0c39b10ea3a23487c6d876d5cb27c3718e69056df1360449b2f33837237a603d5c245e2d34586654be284d28 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: 1.12.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.12.0-1) Maintainer: Adam Cecile Installed-Size: 12 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.12.0~), python3-tensorboard (<< 1.13.0~), libcudnn7 (= 7.4.2.24-1+cuda9.2) Recommends: libnvinfer4 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.12.0/python3-tensorflow-cuda-avx2-sse42-fma_1.12.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6712 MD5sum: 1df4a10a19f7f8e45e9e4068a774d043 SHA1: 61ad4b9db86de47224b391d9aeceb4d8d8517a2b SHA256: e3fbef4a1e497451d6d77f429e92769c04664bcc4234557f1d6c65585ab12b2f SHA512: 6eb0e945008e202e2a93161f77d68a5b09c51287023283cc9edac145947ca69a75d2e4c5802daf3483f200514fdf132feccdcbe7fa31809af0b536411614895b 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: 1.12.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.12.0-1) Maintainer: Adam Cecile Installed-Size: 12 Depends: python3-tensorflow (>= 1.12.0-1), python3-tensorflow (<< 1.12.0.0~) Filename: pool-buster/python-tensorflow-cuda/1.12.0/tensorflow-tools_1.12.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_all.deb Size: 6464 MD5sum: 48f8cb390e84e740fb8da3c5cd206570 SHA1: 6520f819679d4adf4a8673f606068b3a5b843b16 SHA256: 83c31cd2400738a95fe11b71a90b5fa42285c076b412b414468d8554b9312aea SHA512: 6c1beb69fd07edf0c2485d67621125130519c9cc853cd8e725cb74decfc7efd822bb8f45657d09ebcc1e4a628cc9769fa01108ae38ba7ebe52a3de5a374f8b3c 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: 1.12.2-1+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.12.2-1) Maintainer: Adam Cecile Installed-Size: 264121 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python-keras-preprocessing (>= 1.0.5~), python-tensorboard (>= 1.12.0~), python-tensorboard (<< 1.13.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.28), libgcc1 (>= 1:3.3), libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.12.2/python-tensorflow-avx-sse42_1.12.2-1+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 48308970 MD5sum: 6ab60e7652be447ed504f1affb5ef827 SHA1: e56fa3664948df503d3409cbd756134c80ddb2d4 SHA256: 689b57ef819079bbb9a0041bb3b25a3680247a27db4ed84dedd4b905d67525d3 SHA512: d51fd69c5e210817e3cf3f0e0c83eb46308ccccb46938405062a9d6281b2b9f294bb4e2f287a1139490992bcf2a5ef633fad57417e496fa8927ac3762b6e7540 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: 1.12.2-1+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.12.2-1) Maintainer: Adam Cecile Installed-Size: 274576 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python-keras-preprocessing (>= 1.0.5~), python-tensorboard (>= 1.12.0~), python-tensorboard (<< 1.13.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.28), libgcc1 (>= 1:3.3), libstdc++6 (>= 7), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.12.2/python-tensorflow-avx2-sse42-fma-mkl-dnn_1.12.2-1+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 50658618 MD5sum: 616d038f668b1b16459532896bd5948d SHA1: bc49f2782318889f5f05a93aaaa3f6c0f14894d9 SHA256: bf374b05b577491ec29ed3ad0ad4a207596264fa9cbdcf0d817462d14c92986d SHA512: 1c7dbe273c16e60870fa2701a9e226661e413f060ca72049031469ced8e1e819e0f1c07045f11edbede267e948e6f2fae2f74119a395e7bbe414aa7c00020502 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: 1.12.2-1+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.12.2-1) Maintainer: Adam Cecile Installed-Size: 264197 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python-keras-preprocessing (>= 1.0.5~), python-tensorboard (>= 1.12.0~), python-tensorboard (<< 1.13.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.28), libgcc1 (>= 1:3.3), libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.12.2/python-tensorflow-avx2-sse42-fma_1.12.2-1+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 48297174 MD5sum: 8b4b79ad8026e67544bdcad758733a40 SHA1: cc3763cca999c530413f7dcfd135f6330b37c8dd SHA256: 5744245ad25e706d8fe3ba371e366fd2cfc7e8ced5c58a88e86e6c8d27cd755c SHA512: ab5bf805bb4f457c1a3eb75f4e935176daa218a83f63dea51591767d44d0cdd9a99135ecd30697dc212781b6f94342f2cbd875a43fcff78dc1ae8e808231adaa 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: 1.12.2-1+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.12.2-1) Maintainer: Adam Cecile Installed-Size: 1231445 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python-keras-preprocessing (>= 1.0.5~), python-tensorboard (>= 1.12.0~), python-tensorboard (<< 1.13.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.28), libcublas9.2, libcuda1 (>= 346), libcudart9.2, libcudnn7 (= 7.4.2.24-1+cuda9.2), libcufft9.2, libcurand9.2, libcusolver9.2, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libnvinfer4, libopenmpi3, libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.12.2/python-tensorflow-cuda-avx-sse42_1.12.2-1+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 125666376 MD5sum: e39d54e4422c47c8eacd9ba6541c5c5a SHA1: 0c82420c55f051b5d498bbe61ac906f28f6d10cf SHA256: 939caf2ee57d0de405ace43b93f44c26ecbf455c2866421a58df6987507c928d SHA512: abfc8b42fdcf57c6b4becbcd908c5ebe1329669909cb87beb1776acf063beb76926c2979c50e79702dd84463515543d87b71c06e5dc6651f0526b01b469b9dd7 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: 1.12.2-1+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.12.2-1) Maintainer: Adam Cecile Installed-Size: 1242803 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python-keras-preprocessing (>= 1.0.5~), python-tensorboard (>= 1.12.0~), python-tensorboard (<< 1.13.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.28), libcublas9.2, libcuda1 (>= 346), libcudart9.2, libcudnn7 (= 7.4.2.24-1+cuda9.2), libcufft9.2, libcurand9.2, libcusolver9.2, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libnvinfer4, libopenmpi3, libstdc++6 (>= 7), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.12.2/python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.12.2-1+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 127931904 MD5sum: 10f412cfdcaf6bd4e6c35bcaf9e08e58 SHA1: 5bae0bf12164c667b240ffd2070d728abda2e6c9 SHA256: 2db9fd7b8416bf614fa187a849896ddc3faf1e3b5120483e44c14f466f87d257 SHA512: f117cb596813f1f4db8b43409ea5a06484fd2ff7c0c89213d3ba0930f31ac0b970bf2a901e5627d63269c1d565fe9ea3ad534b561c7fb19ee9d511168b7f26f4 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: 1.12.2-1+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.12.2-1) Maintainer: Adam Cecile Installed-Size: 1231585 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python-keras-preprocessing (>= 1.0.5~), python-tensorboard (>= 1.12.0~), python-tensorboard (<< 1.13.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.28), libcublas9.2, libcuda1 (>= 346), libcudart9.2, libcudnn7 (= 7.4.2.24-1+cuda9.2), libcufft9.2, libcurand9.2, libcusolver9.2, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libnvinfer4, libopenmpi3, libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.12.2/python-tensorflow-cuda-avx2-sse42-fma_1.12.2-1+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 125654708 MD5sum: b009ff440a4214ca7571529679a4102d SHA1: 232690e4cdb3343f29faa267b503c8e954345b1b SHA256: a0cfca07de698ab51415e55ac4a52f6c77ee4f9bb546b342c17f7085c288ff14 SHA512: 4827c618563e44b3564daf4bedb4c279153da18f6e717ebcc74f821391d2fa03476a3b4b4c3f9b69a9dd1a4108a47e4507fae519a422ff61720cabd7e6f04dce 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: 1.12.2-1+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.12.2-1) Maintainer: Adam Cecile Installed-Size: 12 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.12.0~), python3-tensorboard (<< 1.13.0~) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.12.2/python3-tensorflow-avx-sse42_1.12.2-1+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6764 MD5sum: 973bf6651f80752f3e17bbb399bb6c92 SHA1: c2b4d4bd205fded99cdd4115f71b83e93aba27bb SHA256: 673ebee3faba607180d8b5fccb21f1ad710d0637e2f15c1028fc047a339ffbff SHA512: a51433491a45c4f0c6b1942c30582a68d1b97620712da6d743536075d9ba522b3d219e18228012e42fb7146febde124f94c81d42cba558825cefc33927a4ac85 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: 1.12.2-1+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.12.2-1) Maintainer: Adam Cecile Installed-Size: 12 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.12.0~), python3-tensorboard (<< 1.13.0~), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.12.2/python3-tensorflow-avx2-sse42-fma-mkl-dnn_1.12.2-1+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6832 MD5sum: 1c10ae8b6a738c46c2de139dfa85867d SHA1: ab5da6492f1e26a9ca20ee96ec1a34a42b5bda64 SHA256: 1f5c83edcc92b3313941ad16718fe708f701bbcefb73c6bb996f137f858afb2f SHA512: cee84b54e38424285cf5a407241807b8e6be327340b93286be9af9380a1853cdfd740466da4f0e2e35f22eab8a7773ac8cf1d3197c99df204c26bb6a94379e14 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: 1.12.2-1+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.12.2-1) Maintainer: Adam Cecile Installed-Size: 12 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.12.0~), python3-tensorboard (<< 1.13.0~) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.12.2/python3-tensorflow-avx2-sse42-fma_1.12.2-1+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6780 MD5sum: e02fee6df0bf4325683d43fe8630f185 SHA1: 1c82f57d7064a665a7b6c7f59ef6bf7effca01e3 SHA256: af2d060af2188675360870365c5ed11306a49b59fa9b9680e1cb50fe24b085a2 SHA512: fa90daef42d07c4cb1fcbcde307ba557028bb96beb9cb6e54a299bcf9916fac4bde32452b3fd53278e2996ca0cf13db3ff112d889c16a9886c3e07059ffa477f 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: 1.12.2-1+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.12.2-1) Maintainer: Adam Cecile Installed-Size: 12 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.12.0~), python3-tensorboard (<< 1.13.0~), libcudnn7 (= 7.4.2.24-1+cuda9.2) Recommends: libnvinfer4 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.12.2/python3-tensorflow-cuda-avx-sse42_1.12.2-1+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6812 MD5sum: 17693cfb61270788abed43b9d49e2f2f SHA1: 4f2e1b384ce772052fb936b55ab542fc4b4834d3 SHA256: c0d27b8ec8761447d51ce342c9f66cd1c82f74a50056d72c525996b3d625ba33 SHA512: 74c21ecaa084a6803ad7dbad1b2efb66d262e3ecb27ba47eafbdf1812483e1763761a4ca2713076751eb8840d8e5b353d04ed9b02222c751e4c0a42267048ad4 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: 1.12.2-1+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.12.2-1) Maintainer: Adam Cecile Installed-Size: 12 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.12.0~), python3-tensorboard (<< 1.13.0~), libcudnn7 (= 7.4.2.24-1+cuda9.2), libmkldnn0-nonfree-mkl Recommends: libnvinfer4 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.12.2/python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.12.2-1+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6888 MD5sum: 97928d9293b413883a456a672e41af96 SHA1: e2b6310fa146ed9436740d4edee92b78350450b2 SHA256: e6c54c4f552b3f3a66909c0234e895b499d49ef2e40a4d13270effcf61dffcf3 SHA512: 0d4fcbfec966825bd1549066e705467eaea6e07387fd7849f9a100737a83d27336673f9b896945ddc525fadf97099f46b3ff8581459a8e1eb50d9d243e2fc1e5 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: 1.12.2-1+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.12.2-1) Maintainer: Adam Cecile Installed-Size: 12 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.12.0~), python3-tensorboard (<< 1.13.0~), libcudnn7 (= 7.4.2.24-1+cuda9.2) Recommends: libnvinfer4 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.12.2/python3-tensorflow-cuda-avx2-sse42-fma_1.12.2-1+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6836 MD5sum: 6952a898845cf1ef086677163dc8281c SHA1: 041c5f86244592f4bd06a16a389c87892ff66826 SHA256: b818b7ea15974db24fbdc2ea4cefecc3830c232e7615d488bba4edb7b71d286a SHA512: d75a61f770b3686b17b051031253897846e230fd013935e354cc2be0bc715f6bef1bdc36ac87bfe7fa573f7d8d7608d63a8e4dde56e8f63b1568a3765cddf906 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: 1.12.2-1+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.12.2-1) Maintainer: Adam Cecile Installed-Size: 12 Depends: python3-tensorflow (>= 1.12.2-1), python3-tensorflow (<< 1.12.2.0~) Filename: pool-buster/python-tensorflow-cuda/1.12.2/tensorflow-tools_1.12.2-1+Debian.buster.10+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_all.deb Size: 6588 MD5sum: 3893bfedeafe4bd428676bf8e8636b32 SHA1: f016dbb6b76667912b5a3fd736dc5c940fa2207a SHA256: 1272e167278b62e52ef32dd52c9690ad922bfb0d84244830a54e0bddb23d9c56 SHA512: 0ad796da2446b3f3a12669b5e7764836090fade9eeffab59b26c48be404053512d4799e680158300e38c4b7071de20d5cfec520f0e8fcd4da81b4969047bb6ed 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: 1.13.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.13.1-1) Maintainer: Adam Cecile Installed-Size: 297508 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python-keras-preprocessing (>= 1.0.5~), python-tensorboard (>= 1.13.0~), python-tensorboard (<< 1.14.0~), python-tensorflow-estimator (>= 1.13.0~), python-tensorflow-estimator (<< 1.14.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.28), libgcc1 (>= 1:3.3), libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.13.1/python-tensorflow-avx-sse42_1.13.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 53323434 MD5sum: 4e1fd9e86588cdff7c9283a2087eb937 SHA1: db15485dfff032933b731e9e6dadc9e8e664807d SHA256: 19b7ba4184b8c7e05e1d577b322604e982c3eda98a40517f37749b1cc4ec19a3 SHA512: 0f3d5845f9351a40b4c91f452e738257554f9cdde570c77363db6b33d7f35e5fede6cbff977a165baf2dc7d3cecd96d4a169a21c744bcfcd5ccf85ca7da25355 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: 1.13.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.13.1-1) Maintainer: Adam Cecile Installed-Size: 311994 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python-keras-preprocessing (>= 1.0.5~), python-tensorboard (>= 1.13.0~), python-tensorboard (<< 1.14.0~), python-tensorflow-estimator (>= 1.13.0~), python-tensorflow-estimator (<< 1.14.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.28), libgcc1 (>= 1:3.3), libstdc++6 (>= 7), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.13.1/python-tensorflow-avx2-sse42-fma-mkl-dnn_1.13.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 55767038 MD5sum: b25be2c437e834d455b14407a86e2e53 SHA1: 6bb9e14a5a09b2c061690cf59c020b40dc32af6a SHA256: 0bc2d419402cf9743859b5e5d95d7c9cb046ac4f9c99faa75ec667a8602adc5f SHA512: 929ec58fc911955c18ea3df0b586447ebe268e03edfcbbe6575d504f976e48d245d64d81a17df42c1c489bbd457a418b675bc9a583e9fe88c142f194f65753da 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: 1.13.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.13.1-1) Maintainer: Adam Cecile Installed-Size: 297572 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python-keras-preprocessing (>= 1.0.5~), python-tensorboard (>= 1.13.0~), python-tensorboard (<< 1.14.0~), python-tensorflow-estimator (>= 1.13.0~), python-tensorflow-estimator (<< 1.14.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.28), libgcc1 (>= 1:3.3), libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.13.1/python-tensorflow-avx2-sse42-fma_1.13.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 53350142 MD5sum: 8251f5aa671a04e9d0cd211add49db20 SHA1: e99a7fc9642e0b6d592deb7f7b2ad9f6267aa0ed SHA256: c8c9c045241563bfdd9e2de6c18b1891fe375b8284f7c8d6d57f1269191337d8 SHA512: 8855f33014a34257d21e25b898a4b1b8bb46f5a466ebe5b846f11d804572a123f7e0cf66e6be88970d092b7ae9f7793755537d3ab2d01265db323e821d4e5c19 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: 1.13.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.13.1-1) Maintainer: Adam Cecile Installed-Size: 1329616 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python-keras-preprocessing (>= 1.0.5~), python-tensorboard (>= 1.13.0~), python-tensorboard (<< 1.14.0~), python-tensorflow-estimator (>= 1.13.0~), python-tensorflow-estimator (<< 1.14.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.28), libcublas9.2, libcuda1 (>= 346), libcudart9.2, libcudnn7 (= 7.4.2.24-1+cuda9.2), libcufft9.2, libcurand9.2, libcusolver9.2, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libnccl2, libnvinfer4, libopenmpi3, libstdc++6 (>= 7), libcupti9.2 Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.13.1/python-tensorflow-cuda-avx-sse42_1.13.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 135065924 MD5sum: b40ade632ad424b1111904f6e54dcdd4 SHA1: 8082329b15c947e3be843f919189060a82f1d012 SHA256: 9b7a3437456c729be0982c295d82e7b7a766ac18fe3ed6010aa5f3e5d5ee15b5 SHA512: d40e417ba50f1612f6d6f8689a516f204cdcc6eaabd510032b393d07c657c0630da6ef1b06d8c0f6e7c160cb4de7854c472655769b3975282023d2057da84e6f 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: 1.13.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.13.1-1) Maintainer: Adam Cecile Installed-Size: 1344605 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python-keras-preprocessing (>= 1.0.5~), python-tensorboard (>= 1.13.0~), python-tensorboard (<< 1.14.0~), python-tensorflow-estimator (>= 1.13.0~), python-tensorflow-estimator (<< 1.14.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.28), libcublas9.2, libcuda1 (>= 346), libcudart9.2, libcudnn7 (= 7.4.2.24-1+cuda9.2), libcufft9.2, libcurand9.2, libcusolver9.2, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libnccl2, libnvinfer4, libopenmpi3, libstdc++6 (>= 7), libcupti9.2, libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.13.1/python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.13.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 138585936 MD5sum: 45f00a20d700678a102c6b085fa6eb50 SHA1: 335669ae0c9a4a2a91d721e967b31e9e0a4ac959 SHA256: f10a16f1c7d2e74f54ff46926b21b1b18a8c42f26c8af2cc1342d1a65ddaa017 SHA512: 4be9553694f0300c753ad1b6cf7cffe4babff4faab5f76b2603628a3b8730190368bb99f17c940db1af5d23b54b42eb78a29f179ec8465012672128b1ad094d8 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: 1.13.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.13.1-1) Maintainer: Adam Cecile Installed-Size: 1329716 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python-keras-preprocessing (>= 1.0.5~), python-tensorboard (>= 1.13.0~), python-tensorboard (<< 1.14.0~), python-tensorflow-estimator (>= 1.13.0~), python-tensorflow-estimator (<< 1.14.0~), python-mock (>= 2.0.0), python-enum34, python-backports.weakref (>= 1.0~rc1), libc6 (>= 2.28), libcublas9.2, libcuda1 (>= 346), libcudart9.2, libcudnn7 (= 7.4.2.24-1+cuda9.2), libcufft9.2, libcurand9.2, libcusolver9.2, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libnccl2, libnvinfer4, libopenmpi3, libstdc++6 (>= 7), libcupti9.2 Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.13.1/python-tensorflow-cuda-avx2-sse42-fma_1.13.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 134976056 MD5sum: 516261d7a96c9a7081402333c2195c2a SHA1: a6ae24e2950fa2b9ae7a60c50e3c2c4c5e7b9148 SHA256: 92eea7cd374dfcfeac95e5c5ab8ab200aac0dc9e236145e6bca3d18bbec329f2 SHA512: 9effb13abdb20c5729d4c35610201f2178e2e021d2866328351ee6cd3db0287517f9b9e40166985210b7c719cc180167ef8f4089e8090b1d3b30308620976965 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: 1.13.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.13.1-1) Maintainer: Adam Cecile Installed-Size: 297498 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.13.0~), python3-tensorboard (<< 1.14.0~), python3-tensorflow-estimator (>= 1.13.0~), python3-tensorflow-estimator (<< 1.14.0~), libc6 (>= 2.28), libgcc1 (>= 1:3.3), libstdc++6 (>= 7) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.13.1/python3-tensorflow-avx-sse42_1.13.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 53322574 MD5sum: 163794d4760ac07ea71a3f2ae5a0d4fa SHA1: c3760e52d384d3389474d007a7087ec908050994 SHA256: 630ea561060e6a14e812cbcd9875078e20c5147b130a3e40623b82856f199257 SHA512: 3e737a6da2e4602664a4f435b1d2fcf931fa76e7d9a620251a87000946ccbef4897cd2b49dc371ff0c969247fb4cfeb77d93deb7f0934fb451d9020e7b23c92a 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: 1.13.1-2+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.13.1-2) Maintainer: Adam Cecile Installed-Size: 297499 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.13.0~), python3-tensorboard (<< 1.14.0~), python3-tensorflow-estimator (>= 1.13.0~), python3-tensorflow-estimator (<< 1.14.0~), libc6 (>= 2.28), libgcc1 (>= 1:3.3), libstdc++6 (>= 7) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.13.1/python3-tensorflow-avx-sse42_1.13.1-2+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 53331382 MD5sum: af0004a38d112d1cc6b2993df159da6d SHA1: 61ddc06ff0b91ebc14d7fbb46eb66b842a29c4a7 SHA256: 3cff497a4c5f1f272d89a0eb4fe7d4e65d768401bfc9b833c350429f3f493fa8 SHA512: df3881e4f754c5b778dd87b80e7ab6b3f798f888283d2e8ba5f9cb75f44c6edb1c10e626df9d0e98dff3f4b09666cc904778901387bb57b0267dfbe92fe7af04 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: 1.13.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.13.1-1) Maintainer: Adam Cecile Installed-Size: 311976 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.13.0~), python3-tensorboard (<< 1.14.0~), python3-tensorflow-estimator (>= 1.13.0~), python3-tensorflow-estimator (<< 1.14.0~), libc6 (>= 2.28), libgcc1 (>= 1:3.3), libstdc++6 (>= 7), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.13.1/python3-tensorflow-avx2-sse42-fma-mkl-dnn_1.13.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 55765918 MD5sum: 214821f580c3d64afa86e8762c973890 SHA1: 693f7cdce3045c8e73aaf6bf4fdad3b5e4513239 SHA256: 3c57e86803f1a0e0872820a03f591d337df18733d5039904b72ff5f31d5e7353 SHA512: c66a3716e051a568ca3328ac74511fe2c64a786306813ca6dadb3d03f1b6b7454b27b99369ea4fec616147143244fde29402ea74ac4fd9fe159ff6934cc9e191 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: 1.13.1-2+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.13.1-2) Maintainer: Adam Cecile Installed-Size: 313005 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.13.0~), python3-tensorboard (<< 1.14.0~), python3-tensorflow-estimator (>= 1.13.0~), python3-tensorflow-estimator (<< 1.14.0~), libc6 (>= 2.28), libgcc1 (>= 1:3.3), libomp5 (>= 0.20140926), libstdc++6 (>= 7), libmkl-rt Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.13.1/python3-tensorflow-avx2-sse42-fma-mkl-dnn_1.13.1-2+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 55844070 MD5sum: ccfac958d818690c3aa1d78c17cfaff0 SHA1: df180114b725673f4dc9ff7493106d8261f1a9c9 SHA256: 45dee3c1b55bb490d617f63614bc36b39d34519a460d56ee32a389fb58891c78 SHA512: b341739bf6b571c0d7c009fbb4982f6272730940edf5aca00c31dfe1712ba8a75144fd6b527e3df759a855acaf2e0921620cd7a9e50f3b526558145f83c31244 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: 1.13.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.13.1-1) Maintainer: Adam Cecile Installed-Size: 297554 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.13.0~), python3-tensorboard (<< 1.14.0~), python3-tensorflow-estimator (>= 1.13.0~), python3-tensorflow-estimator (<< 1.14.0~), libc6 (>= 2.28), libgcc1 (>= 1:3.3), libstdc++6 (>= 7) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.13.1/python3-tensorflow-avx2-sse42-fma_1.13.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 53372930 MD5sum: 5884ce8b3610d53603e892e958beb778 SHA1: b575e91c6d1a2797bba7b01167d95c36b9c7a226 SHA256: e55a482d7c6445a099f452705a739a28c8fd1ae701a832f37ddb0935b8350bcb SHA512: 47dcd6cc0008997e735afac29266b2790e77100ae1c7a3a23c7e29502a20da697ae106792fed36d1ea51c2019eb01a01d51d1aac8ef093a2a1206db11b5c9b24 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: 1.13.1-2+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.13.1-2) Maintainer: Adam Cecile Installed-Size: 297555 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.13.0~), python3-tensorboard (<< 1.14.0~), python3-tensorflow-estimator (>= 1.13.0~), python3-tensorflow-estimator (<< 1.14.0~), libc6 (>= 2.28), libgcc1 (>= 1:3.3), libstdc++6 (>= 7) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.13.1/python3-tensorflow-avx2-sse42-fma_1.13.1-2+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 53340466 MD5sum: 7f788ea28a1b83291eea82fd3fe1493e SHA1: bb82a51a057f598eb75ffce2cb38b2484d817878 SHA256: 4136aca1b2cef235a6617c0a4a2f4aec8eceb15f473d9689103b3b28968b8143 SHA512: a57a429911e25fd8dbdb4c57ab21a466d52c373fb869a98534ab9f065558dc23be5f9979138eb347ee5b41c14dc5b546610a3410b0d66af817e2bad5df4439df 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: 1.13.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.13.1-1) Maintainer: Adam Cecile Installed-Size: 1329601 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.13.0~), python3-tensorboard (<< 1.14.0~), python3-tensorflow-estimator (>= 1.13.0~), python3-tensorflow-estimator (<< 1.14.0~), libc6 (>= 2.28), libcublas9.2, libcuda1 (>= 346), libcudart9.2, libcudnn7 (= 7.4.2.24-1+cuda9.2), libcufft9.2, libcurand9.2, libcusolver9.2, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libnccl2, libnvinfer4, libopenmpi3, libstdc++6 (>= 7), libcupti9.2 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.13.1/python3-tensorflow-cuda-avx-sse42_1.13.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 134928624 MD5sum: fb2df8c822cc4de7dd2eeb5929a6fe8b SHA1: 1d5164006b4be68c2ec619918cb829c94a33232a SHA256: 97e774393f51dc5606533892f8894d92df2d2e0d0df68f218493b8b52fa16556 SHA512: fbf820fb9e79ceaaf39cfbbc280169f8341bfb6b9a65bb4c8ba5075bc1a6be2af64055044a540d801826277e6a335a8e569bf4d5d2e1ccd8b19729264613cc74 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: 1.13.1-2+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.13.1-2) Maintainer: Adam Cecile Installed-Size: 1329602 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.13.0~), python3-tensorboard (<< 1.14.0~), python3-tensorflow-estimator (>= 1.13.0~), python3-tensorflow-estimator (<< 1.14.0~), libc6 (>= 2.28), libcublas9.2, libcuda1 (>= 346), libcudart9.2, libcudnn7 (= 7.6.4.38-1+cuda9.2), libcufft9.2, libcurand9.2, libcusolver9.2, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libnccl2, libnvinfer4, libopenmpi3, libstdc++6 (>= 7), libcupti9.2 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.13.1/python3-tensorflow-cuda-avx-sse42_1.13.1-2+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 134992564 MD5sum: 9a670c8d59c9064388b9d1c547c640e4 SHA1: 62207eac34c8c0627314905731ea3bd7efed283d SHA256: 3000603b629919d04b1ebbd1b7f9139cc6c1bac8c9d046223ce16114a1079899 SHA512: 209ec27af3079315cff4524acc353068015e42367df8c41ef782cbfd7142618f4c6a07807a98c832e0228f82176fcbcd85e29e0440e271dac1b3526b92abb76b 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: 1.13.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.13.1-1) Maintainer: Adam Cecile Installed-Size: 1344583 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.13.0~), python3-tensorboard (<< 1.14.0~), python3-tensorflow-estimator (>= 1.13.0~), python3-tensorflow-estimator (<< 1.14.0~), libc6 (>= 2.28), libcublas9.2, libcuda1 (>= 346), libcudart9.2, libcudnn7 (= 7.4.2.24-1+cuda9.2), libcufft9.2, libcurand9.2, libcusolver9.2, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libnccl2, libnvinfer4, libopenmpi3, libstdc++6 (>= 7), libcupti9.2, libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.13.1/python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.13.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 138662492 MD5sum: f378302852445486322603e85b35214d SHA1: 1aa32707f8bfd03220d0b963dbd98b90a823726b SHA256: 0a51662b53142b9e043f0c04171c30937b0fc241b3c355eece032aa54f393341 SHA512: c5e2c71e99fffb1b0c0cbf584ca142cdc163ec4d71d95d4c3919968aff4a51c72872236bc9fc97830f6a127de6a1b0d0d9ad8c3f627c625c240257bad8aacd8a 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: 1.13.1-2+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.13.1-2) Maintainer: Adam Cecile Installed-Size: 1345612 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.13.0~), python3-tensorboard (<< 1.14.0~), python3-tensorflow-estimator (>= 1.13.0~), python3-tensorflow-estimator (<< 1.14.0~), libc6 (>= 2.28), libcublas9.2, libcuda1 (>= 346), libcudart9.2, libcudnn7 (= 7.6.4.38-1+cuda9.2), libcufft9.2, libcurand9.2, libcusolver9.2, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libnccl2, libnvinfer4, libomp5 (>= 0.20140926), libopenmpi3, libstdc++6 (>= 7), libcupti9.2, libmkl-rt Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.13.1/python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.13.1-2+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 138674240 MD5sum: aa4fbdfd8ec8033f3a453d176a436612 SHA1: b21cee5840b3caa1a4c62f719f27f25830998bb5 SHA256: 1dfb9a37c8d3ec51d5429a27beb8185e635a6a430e58176c3750303d9490ecf1 SHA512: 4621d6e2a7eaf7f7ac67d9559589a4e290329252f1aca409b61fb4eb7dffed21ed21d0771230535b88f4251de2cd2632614917c793f0724510f4c8cd2fc4fdae 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: 1.13.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.13.1-1) Maintainer: Adam Cecile Installed-Size: 1329697 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.13.0~), python3-tensorboard (<< 1.14.0~), python3-tensorflow-estimator (>= 1.13.0~), python3-tensorflow-estimator (<< 1.14.0~), libc6 (>= 2.28), libcublas9.2, libcuda1 (>= 346), libcudart9.2, libcudnn7 (= 7.4.2.24-1+cuda9.2), libcufft9.2, libcurand9.2, libcusolver9.2, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libnccl2, libnvinfer4, libopenmpi3, libstdc++6 (>= 7), libcupti9.2 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.13.1/python3-tensorflow-cuda-avx2-sse42-fma_1.13.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 134959860 MD5sum: bee1dc9bcce5cea30afe5e84bb0c8a15 SHA1: 0400d016626579c5abbf33e084bbc738816fe851 SHA256: 226e32026436bcab5f75d6c30593fa976481f2bf9b5b1db9b29ee5e564f93c76 SHA512: ea6ee44ccc1343f28014ad9e3659cc237b864f24632ac82e056b0ec64c27f8b5817b96ece5347e40b66b64f6944cce98139d42087f0c2387b55eed11415fd6b6 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: 1.13.1-2+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.13.1-2) Maintainer: Adam Cecile Installed-Size: 1329702 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.13.0~), python3-tensorboard (<< 1.14.0~), python3-tensorflow-estimator (>= 1.13.0~), python3-tensorflow-estimator (<< 1.14.0~), libc6 (>= 2.28), libcublas9.2, libcuda1 (>= 346), libcudart9.2, libcudnn7 (= 7.6.4.38-1+cuda9.2), libcufft9.2, libcurand9.2, libcusolver9.2, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libnccl2, libnvinfer4, libopenmpi3, libstdc++6 (>= 7), libcupti9.2 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.13.1/python3-tensorflow-cuda-avx2-sse42-fma_1.13.1-2+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 135041184 MD5sum: f51eaa8ed15b13dd8c276ab8192e4bd9 SHA1: a58357d3397801f09b7c07030dc5f3a6f6ecc589 SHA256: c4f60dcf2373ce2dc9f3676091c40dac153af59090be3592c7bc47624d83a83e SHA512: dee1678cf1086fd386faad5360a747285e54b4fd57b020ab326368e905d34734f04ceade10b548b2604fd9e01052a5dd04121f001a59dc8a8373669c66fbcd2e 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: 1.13.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.13.1-1) Maintainer: Adam Cecile Installed-Size: 19 Depends: python3.7:any, python3:any (>= 3.4~), python3-tensorflow (>= 1.13.1-1), python3-tensorflow (<< 1.13.1.0~) Filename: pool-buster/python-tensorflow-cuda/1.13.1/tensorflow-tools_1.13.1-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_all.deb Size: 7732 MD5sum: d450d82fcb75aac96773b0d880ab7969 SHA1: fbd68db694de9a1384cce85170061dd2031c7482 SHA256: d460bac5e8d9775b039b7205ced6f172a8e28398d3cbd30d91821834fbae66ec SHA512: 1f2e3943572980bf36e2ece634b84cf08b7cf62b7f26cd81e5378db795e19f3ceb1b81622788cec098d30ffcb25972a2244b769973198b48a52499cd06b3a678 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: 1.13.1-2+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.13.1-2) Maintainer: Adam Cecile Installed-Size: 20 Depends: python3.7:any, python3:any (>= 3.4~), python3-tensorflow (>= 1.13.1-2), python3-tensorflow (<< 1.13.1.0~) Filename: pool-buster/python-tensorflow-cuda/1.13.1/tensorflow-tools_1.13.1-2+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_all.deb Size: 7904 MD5sum: bbc31eec851a42e9e603b1ed79150a23 SHA1: 6f66a3e81863f2db332e3da55ccb83a4765948a9 SHA256: 1265684ebefb899caeaa97dcae777980f4947383c990ec0be3aa9ccc9042e476 SHA512: 44f1a8c759da417f833cc3ab5e7ac4d107ae0c9e80f1b3406e41c5d886cc2f5167af35955822bf0edda70996ad2540260ae2cf11fd3fc39fb8d0511879a95937 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-tensorflow-avx-sse42 Architecture: amd64 Version: 1.13.2-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.13.2-1) Maintainer: Adam Cecile Installed-Size: 297542 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.13.0~), python3-tensorboard (<< 1.14.0~), python3-tensorflow-estimator (>= 1.13.0~), python3-tensorflow-estimator (<< 1.14.0~), libc6 (>= 2.28), libgcc1 (>= 1:3.3), libstdc++6 (>= 7) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.13.2/python3-tensorflow-avx-sse42_1.13.2-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 53334102 MD5sum: 1b4cb4551f71f7233f137d216385198a SHA1: e0c2206bbe2b0f8ad57e6cd70b138b1c563b56b8 SHA256: 8bc7479ffff6a4159709ef78e72c43ee77a0b243db1b2e0483d6d3ed6934c31a SHA512: 500e2ef57bec2115ab694419283548263e22ab52dd316743d188d0fe33fed36d0323f232c372cdb23f925ff705893caf9934b50aa22e8a1b5a6dbd0970c4e360 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: 1.13.2-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.13.2-1) Maintainer: Adam Cecile Installed-Size: 313053 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.13.0~), python3-tensorboard (<< 1.14.0~), python3-tensorflow-estimator (>= 1.13.0~), python3-tensorflow-estimator (<< 1.14.0~), libc6 (>= 2.28), libgcc1 (>= 1:3.3), libomp5 (>= 0.20140926), libstdc++6 (>= 7), libmkl-rt Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.13.2/python3-tensorflow-avx2-sse42-fma-mkl-dnn_1.13.2-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 55861774 MD5sum: 75e8941be5b1c0e5a661bd2710a1c101 SHA1: c9fb7089b98a18b3a5e536df901e6a8c49193745 SHA256: c7588371f2ff611a9943d87f3ce270b12791573a98a81d479cde6fcd070803ca SHA512: 1c27b4bd884f74a17d721a3f06bea701b3976aa6fde61c43f87bf5210aaeb407243e75cc03dc5a958da90e32b6e35c83edf5f9d4485a1789729226a84f1a7456 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: 1.13.2-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.13.2-1) Maintainer: Adam Cecile Installed-Size: 297602 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.13.0~), python3-tensorboard (<< 1.14.0~), python3-tensorflow-estimator (>= 1.13.0~), python3-tensorflow-estimator (<< 1.14.0~), libc6 (>= 2.28), libgcc1 (>= 1:3.3), libstdc++6 (>= 7) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.13.2/python3-tensorflow-avx2-sse42-fma_1.13.2-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 53364582 MD5sum: c5d3bbedb5082b654d428deffc4fe3c7 SHA1: 194e36f557c9fce6993d12916517fcf04566bc08 SHA256: 677a6b56ec7b8d18ad9aa896721c6251da079fa477d56a304d370e804d039bc1 SHA512: f6621c72e8e4c68f5f13f6c6078614b0d0d1ae35df6c8f4e63763a408bfcd194ca3ba7ae6625c014bd7b75a09b11ecef461d6fe1c68bcf1bc8addbcbaa8fc6be 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: 1.13.2-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.13.2-1) Maintainer: Adam Cecile Installed-Size: 1329637 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.13.0~), python3-tensorboard (<< 1.14.0~), python3-tensorflow-estimator (>= 1.13.0~), python3-tensorflow-estimator (<< 1.14.0~), libc6 (>= 2.28), libcublas9.2, libcuda1 (>= 346) | libcuda.so.1 (>= 346), libcudart9.2, libcudnn7 (= 7.6.4.38-1+cuda9.2), libcufft9.2, libcurand9.2, libcusolver9.2, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libnccl2, libnvinfer4, libopenmpi3, libstdc++6 (>= 7), libcupti9.2 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.13.2/python3-tensorflow-cuda-avx-sse42_1.13.2-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 134938168 MD5sum: 9ae685f56f04a733973ee4a18aa7fa3d SHA1: 859ac3b7f40da393bc9809b6ad64886bb0b4d791 SHA256: 765693d8a393c4fcc7339b3b1a4a8a2221c67432a5efedd05c0f8dc5badac3ca SHA512: 2c8824c97367fb6d4e4b8254dbd96f241f9351d9be079edcdbb9407306b1d17bf8e3c05ed5d82db6a8e9d8f3805fd22451b8a8d6bf5c8abe260ec18543f5ecb4 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: 1.13.2-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.13.2-1) Maintainer: Adam Cecile Installed-Size: 1345659 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.13.0~), python3-tensorboard (<< 1.14.0~), python3-tensorflow-estimator (>= 1.13.0~), python3-tensorflow-estimator (<< 1.14.0~), libc6 (>= 2.28), libcublas9.2, libcuda1 (>= 346) | libcuda.so.1 (>= 346), libcudart9.2, libcudnn7 (= 7.6.4.38-1+cuda9.2), libcufft9.2, libcurand9.2, libcusolver9.2, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libnccl2, libnvinfer4, libomp5 (>= 0.20140926), libopenmpi3, libstdc++6 (>= 7), libcupti9.2, libmkl-rt Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.13.2/python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.13.2-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 138756692 MD5sum: cbf49440d0b5db9c8cc71928130bb393 SHA1: 05559885f067b13fabac244c86a1c6d9a0ce5036 SHA256: 2c55b7c22bdee49cdb7542cd1fb7ee1adf8fcb8a48cbed982e63d7fc5f4605ea SHA512: 6aefb444db90172187f0643fa89ed124692bb25e71af8af8944dee118d69dbed84b06afff7464cc61a7410595af862ab600d76c6cb9ee7395c8533bb8a92827f 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: 1.13.2-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.13.2-1) Maintainer: Adam Cecile Installed-Size: 1329737 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.13.0~), python3-tensorboard (<< 1.14.0~), python3-tensorflow-estimator (>= 1.13.0~), python3-tensorflow-estimator (<< 1.14.0~), libc6 (>= 2.28), libcublas9.2, libcuda1 (>= 346) | libcuda.so.1 (>= 346), libcudart9.2, libcudnn7 (= 7.6.4.38-1+cuda9.2), libcufft9.2, libcurand9.2, libcusolver9.2, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libnccl2, libnvinfer4, libopenmpi3, libstdc++6 (>= 7), libcupti9.2 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.13.2/python3-tensorflow-cuda-avx2-sse42-fma_1.13.2-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 135022920 MD5sum: b28f9923468958420274eec0a9b0db09 SHA1: d8184fcae69b17a39b751f1aaa1dcfde30829bf7 SHA256: 1c45ce6b2c678f43943d4765f66d38d30db00f7969f188b79589c05cb08af405 SHA512: e6bb7c3d892192dff88d852b633e59a663cba1d123ea78b445f137d1ef11276c4388efdc3e991b3ec1263620e008c40532731e32107d042d70c6aea9a8f7bb4c 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: 1.13.2-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.13.2-1) Maintainer: Adam Cecile Installed-Size: 20 Depends: python3.7:any, python3:any (>= 3.4~), python3-tensorflow (>= 1.13.2-1), python3-tensorflow (<< 1.13.2.0~) Filename: pool-buster/python-tensorflow-cuda/1.13.2/tensorflow-tools_1.13.2-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_all.deb Size: 7944 MD5sum: 62f41e99cc5159df3ab2a8f31b74fc44 SHA1: 426de5268843214e577e8051ec9bafd27d66c131 SHA256: 2d7bb7ea18d52a132d7a95bd19e2a735c6f446dcb905b23d1487bd7ee3ce1c2c SHA512: df7833bda257456058a6b6879f9f592296d2c39bbed3a0fa70d20926969518eedb6bc5cd44038ad807623ab4ec382bc01a3333a4de303d613f40023ecb43c272 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-tensorflow-avx-sse42 Architecture: amd64 Version: 1.14.0-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.14.0-1) Maintainer: Adam Cecile Installed-Size: 350325 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3-absl (>= 0.7.0~), python3-six (>= 1.10.0), python3-protobuf (>= 3.6.0~), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-pasta (>= 0.1.6~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.14.0~), python3-tensorboard (<< 1.15.0~), python3-tensorflow-estimator (>= 1.14.0~), python3-tensorflow-estimator (<< 1.15.0~), libc6 (>= 2.28), libgcc1 (>= 1:3.3), libstdc++6 (>= 7) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.14.0/python3-tensorflow-avx-sse42_1.14.0-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 62326222 MD5sum: c7816b061bcd7c80260eb31812a7ff10 SHA1: ff77adb3c35bd64d292a2dc443549cb0e92a28c3 SHA256: 38d899a854c4af598bb4d46f36b823cb5dad3804b4e34ece4a9aa39dec39f9a8 SHA512: 6165a62958df88e65a9b1c97d7dc38668ee783457a6695642205b4850a08559319bc31b63fe93e4684cee5d05faf9f039b5b4ece87bbe0ea686d839c06e269e9 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: 1.14.0-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.14.0-1) Maintainer: Adam Cecile Installed-Size: 354719 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3-absl (>= 0.7.0~), python3-six (>= 1.10.0), python3-protobuf (>= 3.6.0~), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-pasta (>= 0.1.6~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.14.0~), python3-tensorboard (<< 1.15.0~), python3-tensorflow-estimator (>= 1.14.0~), python3-tensorflow-estimator (<< 1.15.0~), libc6 (>= 2.28), libgcc1 (>= 1:3.3), libomp5 (>= 0.20140926), libstdc++6 (>= 7), libmkl-rt Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.14.0/python3-tensorflow-avx2-sse42-fma-mkl-dnn_1.14.0-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 63415630 MD5sum: 072984f95d95dae24754cf8d55cb0d6c SHA1: afc4862c1325aca9372b4eeee2d16008de9d3d7e SHA256: d90f56ce46385286ae161d3d88b40b9311ae15268b38994aa8c5d3bd1a009d07 SHA512: d077dbcd930b6915561a235b5fda6a9db63274dfe8088eeb58ef76f437d04a4dfa130a73815cf7cfef040e0ed952d31647a302be12b7b4dc36e31332a43fd0be 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: 1.14.0-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.14.0-1) Maintainer: Adam Cecile Installed-Size: 350325 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3-absl (>= 0.7.0~), python3-six (>= 1.10.0), python3-protobuf (>= 3.6.0~), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-pasta (>= 0.1.6~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.14.0~), python3-tensorboard (<< 1.15.0~), python3-tensorflow-estimator (>= 1.14.0~), python3-tensorflow-estimator (<< 1.15.0~), libc6 (>= 2.28), libgcc1 (>= 1:3.3), libstdc++6 (>= 7) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.14.0/python3-tensorflow-avx2-sse42-fma_1.14.0-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 62326262 MD5sum: bbf25eead54e38b177dd0e4bed044587 SHA1: 9fa7f401a84c19f7fbfdbc0aee4ec8c9b3062b9a SHA256: 28e6008a75b253ef9c79427d22a81028c81f4d51bb526d98c7b579e081eb4cff SHA512: 09722cbc92d47c78a200130e5de33bed4f3a41bd3dcfa3418096795a9d2095af586ca45b3443b5cef769e0f9106babe0298cef2e497fb792b202d236a262d879 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: 1.14.0-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.14.0-1) Maintainer: Adam Cecile Installed-Size: 1428050 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3-absl (>= 0.7.0~), python3-six (>= 1.10.0), python3-protobuf (>= 3.6.0~), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-pasta (>= 0.1.6~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.14.0~), python3-tensorboard (<< 1.15.0~), python3-tensorflow-estimator (>= 1.14.0~), python3-tensorflow-estimator (<< 1.15.0~), libc6 (>= 2.28), libgcc1 (>= 1:3.0), libnccl2, libopenmpi3, libstdc++6 (>= 7), libcudnn7 (= 7.6.4.38-1+cuda9.2), libcupti9.2 Recommends: libnvinfer4 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.14.0/python3-tensorflow-cuda-avx-sse42_1.14.0-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 141079176 MD5sum: 1a14947b064ad6f5bbca8d7bd6a00eb6 SHA1: 2cb54c838f47fe1946910ba4e8ee85326652a806 SHA256: 304092cf596e5c4e0743f177f81f9ca3307e61baf573f4e91cb2020327aaceaf SHA512: 5c5eb2bad60dba7455fd066e0a0c53ef953c95f159c7960903208ea416e4e565ca98ec0b85afb108a89704f7c173ae00a31902cfab089df304cb47c0b51c2472 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: 1.14.0-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.14.0-1) Maintainer: Adam Cecile Installed-Size: 1433177 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3-absl (>= 0.7.0~), python3-six (>= 1.10.0), python3-protobuf (>= 3.6.0~), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-pasta (>= 0.1.6~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.14.0~), python3-tensorboard (<< 1.15.0~), python3-tensorflow-estimator (>= 1.14.0~), python3-tensorflow-estimator (<< 1.15.0~), libc6 (>= 2.28), libgcc1 (>= 1:3.0), libnccl2, libomp5 (>= 0.20140926), libopenmpi3, libstdc++6 (>= 7), libcudnn7 (= 7.6.4.38-1+cuda9.2), libcupti9.2, libmkl-rt Recommends: libnvinfer4 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.14.0/python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.14.0-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 142400672 MD5sum: 05892732359cd0013eaf49f1e5a8fb81 SHA1: 7a6e810ea95372a70bff314ea1d3a497b9647e52 SHA256: 3af969dfac5ae0717f2c89ee14ec2f9ea5dd273fa2c2e0d7f012343e4f294029 SHA512: 89653c4795eecfd3a83f138833da2dd051e6563d4a22037ddadae4eb28cfbc3a06d78f45a6247bc14b0c6bc053d84d898a55d912a9769a7bb2eb5304951b9e74 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: 1.14.0-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.14.0-1) Maintainer: Adam Cecile Installed-Size: 1428050 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3-absl (>= 0.7.0~), python3-six (>= 1.10.0), python3-protobuf (>= 3.6.0~), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.0~), python3-pasta (>= 0.1.6~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-keras-applications (>= 1.0.6~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.14.0~), python3-tensorboard (<< 1.15.0~), python3-tensorflow-estimator (>= 1.14.0~), python3-tensorflow-estimator (<< 1.15.0~), libc6 (>= 2.28), libgcc1 (>= 1:3.0), libnccl2, libopenmpi3, libstdc++6 (>= 7), libcudnn7 (= 7.6.4.38-1+cuda9.2), libcupti9.2 Recommends: libnvinfer4 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.14.0/python3-tensorflow-cuda-avx2-sse42-fma_1.14.0-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 141107620 MD5sum: a99836d18ab0e739afb606fb34b07082 SHA1: 8c6d9382ecbc2d49bf2dfd38b4c252ec00633eae SHA256: d59b20bc0fd0581e7abcfee458850377e45b94a48a09b86c4ffeeee4c1facb42 SHA512: b12ef676ffe4462853d3930e11d1ea03a94ebc9fc9296c9c2124c9741af50d3a5259cf82d476b2d7faaac1795a8358dc648429f9753527053682224ba3cbff14 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: 1.14.0-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.14.0-1) Maintainer: Adam Cecile Installed-Size: 20 Depends: python3.7:any, python3:any (>= 3.4~), python3-tensorflow (>= 1.14.0-1), python3-tensorflow (<< 1.14.0.0~) Filename: pool-buster/python-tensorflow-cuda/1.14.0/tensorflow-tools_1.14.0-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_all.deb Size: 8264 MD5sum: c49e0e86466aaaea7a455d6072ac2c27 SHA1: dd811ba5abaf8d97d8db3ae3927860f640267caa SHA256: 79ba01ab1e0781894c08d78a9c242276b554e7747355487ec5e3defeea74c219 SHA512: 81a197efa139040a55e69c2e140a1eb6d139ca99425621b23fcf4e70d0bf9ffca83215c50282bff63dd250aed6cd34ed5cf40bb8df1f0e0c2d611a51e52601e3 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-tensorflow-avx-sse42 Architecture: amd64 Version: 1.15.4-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.15.4-1) Maintainer: Adam Cecile Installed-Size: 328537 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3-absl (>= 0.7.0~), python3-opt-einsum (>= 2.3.2~), python3-wrapt (>= 1.11.1~), python3-six (>= 1.10.0), python3-protobuf (>= 3.6.1~), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.2~), python3-pasta (>= 0.1.6~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-keras-applications (>= 1.0.8~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.15.0~), python3-tensorboard (<< 1.16.0~), python3-tensorflow-estimator (>= 1.15.0~), python3-tensorflow-estimator (<< 1.16.0~), libc6 (>= 2.28), libgcc1 (>= 1:3.3), libstdc++6 (>= 7) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.15.4/python3-tensorflow-avx-sse42_1.15.4-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 60245538 MD5sum: a6330ad312c206b5d0f1dc6676a04eb2 SHA1: 5f6f79c26be3fdd5c69a3801c73c8e00d39e244a SHA256: 2e8b3763b980b441f1d87afdc36658a849f4901d5c40fb08c3db9576284bdc70 SHA512: a314b456fee484ef2ca2c095b30332ee02e33c03c8c4f044093b6df533a3369ae82d84b78adc90055f7688a3f88f5d579680dca7cf1b455ec89f8f5783d578fd 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: 1.15.4-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.15.4-1) Maintainer: Adam Cecile Installed-Size: 341362 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3-absl (>= 0.7.0~), python3-opt-einsum (>= 2.3.2~), python3-wrapt (>= 1.11.1~), python3-six (>= 1.10.0), python3-protobuf (>= 3.6.1~), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.2~), python3-pasta (>= 0.1.6~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-keras-applications (>= 1.0.8~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.15.0~), python3-tensorboard (<< 1.16.0~), python3-tensorflow-estimator (>= 1.15.0~), python3-tensorflow-estimator (<< 1.16.0~), libc6 (>= 2.28), libgcc1 (>= 1:3.3), libomp5 (>= 0.20140926), libstdc++6 (>= 7), libmkl-rt Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.15.4/python3-tensorflow-avx2-sse42-fma-mkl-dnn_1.15.4-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 62900010 MD5sum: 99c5a1202f3d740af96e515fad5d22cc SHA1: be927cf0563a23426bbf2a43c11cf3b55caba106 SHA256: c8daa8bc921e089e8f3a554ff04833679e6c56881ea96bd80866aa64382d1013 SHA512: 212a0485807d729dfd6c03df220ffa52d27ba8b9d18720ff0f97b2a40b314cbc3337081ac53772117e6c34e48be2b6f569608caef73baf401a377304adfb494b 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: 1.15.4-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.15.4-1) Maintainer: Adam Cecile Installed-Size: 328537 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3-absl (>= 0.7.0~), python3-opt-einsum (>= 2.3.2~), python3-wrapt (>= 1.11.1~), python3-six (>= 1.10.0), python3-protobuf (>= 3.6.1~), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.2~), python3-pasta (>= 0.1.6~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-keras-applications (>= 1.0.8~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.15.0~), python3-tensorboard (<< 1.16.0~), python3-tensorflow-estimator (>= 1.15.0~), python3-tensorflow-estimator (<< 1.16.0~), libc6 (>= 2.28), libgcc1 (>= 1:3.3), libstdc++6 (>= 7) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.15.4/python3-tensorflow-avx2-sse42-fma_1.15.4-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 60245010 MD5sum: 4f7385001cf9c1d03b252d0ed7b7b26a SHA1: 02baec34f9c838867d8963f008d27f0491ba4c07 SHA256: 23f8911a258ec4ed02da73e99774fc85191888daf825f71acda311ae1f36e6c2 SHA512: 043079c44d43890300498de1caf0199f3c29d2b1cc4c06be7f32bd568833e3100cbd2cf3cd9992dae2daae71f4233976e270c10656488ac0b88edec8c2bc4110 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: 1.15.4-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.15.4-1) Maintainer: Adam Cecile Installed-Size: 1485435 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3-absl (>= 0.7.0~), python3-opt-einsum (>= 2.3.2~), python3-wrapt (>= 1.11.1~), python3-six (>= 1.10.0), python3-protobuf (>= 3.6.1~), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.2~), python3-pasta (>= 0.1.6~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-keras-applications (>= 1.0.8~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.15.0~), python3-tensorboard (<< 1.16.0~), python3-tensorflow-estimator (>= 1.15.0~), python3-tensorflow-estimator (<< 1.16.0~), libc6 (>= 2.28), libgcc1 (>= 1:3.0), libnccl2, libopenmpi3, libstdc++6 (>= 7), libcudnn7 (= 7.6.4.38-1+cuda9.2), libcupti9.2 Recommends: libnvinfer4 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.15.4/python3-tensorflow-cuda-avx-sse42_1.15.4-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 147006832 MD5sum: e26175ebcd18a1657ff269ed5d82dae5 SHA1: 8135973e3c1c086805c52f85d9519164d7e38d2f SHA256: 0c9eda42168ec4fcc20926c4cc8a4443c00860c673f5a9c65457fd1e4dd8a7b2 SHA512: a1df91add4f2559d09ba35254898d3a36f5490d184f456363176e79ea886c2b99867f65b708d172a65df3beaa93cab69628048dba31122c1a64db050062a0005 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: 1.15.4-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.15.4-1) Maintainer: Adam Cecile Installed-Size: 1498691 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3-absl (>= 0.7.0~), python3-opt-einsum (>= 2.3.2~), python3-wrapt (>= 1.11.1~), python3-six (>= 1.10.0), python3-protobuf (>= 3.6.1~), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.2~), python3-pasta (>= 0.1.6~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-keras-applications (>= 1.0.8~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.15.0~), python3-tensorboard (<< 1.16.0~), python3-tensorflow-estimator (>= 1.15.0~), python3-tensorflow-estimator (<< 1.16.0~), libc6 (>= 2.28), libgcc1 (>= 1:3.0), libnccl2, libomp5 (>= 0.20140926), libopenmpi3, libstdc++6 (>= 7), libcudnn7 (= 7.6.4.38-1+cuda9.2), libcupti9.2, libmkl-rt Recommends: libnvinfer4 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.15.4/python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.15.4-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 147762376 MD5sum: 05858f9742b6220cfe62bca0a1682022 SHA1: 86f3ff5ef0bdc40b69a17d956583c58f71598df8 SHA256: 854b904525e100140056c8a0bc8570bb5e4c28f9059835a22273fbff5d39f03a SHA512: 392294e08eebf471f29305ee329838127bcff986d12ff05008797ec918ec1ffb1ccc84cc31b20f52c14e1eb886e1e0bfc9627cbfa2414229290e150dd274bac0 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: 1.15.4-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.15.4-1) Maintainer: Adam Cecile Installed-Size: 1485435 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3-absl (>= 0.7.0~), python3-opt-einsum (>= 2.3.2~), python3-wrapt (>= 1.11.1~), python3-six (>= 1.10.0), python3-protobuf (>= 3.6.1~), python3-astor (>= 0.6.0~), python3-gast (>= 0.2.2~), python3-pasta (>= 0.1.6~), python3-grpcio (>= 1.8.6~), python3-termcolor (>= 1.1.0~), python3-keras-applications (>= 1.0.8~), python3-keras-preprocessing (>= 1.0.5~), python3-tensorboard (>= 1.15.0~), python3-tensorboard (<< 1.16.0~), python3-tensorflow-estimator (>= 1.15.0~), python3-tensorflow-estimator (<< 1.16.0~), libc6 (>= 2.28), libgcc1 (>= 1:3.0), libnccl2, libopenmpi3, libstdc++6 (>= 7), libcudnn7 (= 7.6.4.38-1+cuda9.2), libcupti9.2 Recommends: libnvinfer4 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.15.4/python3-tensorflow-cuda-avx2-sse42-fma_1.15.4-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 146977084 MD5sum: df0c0a1547118a3dbfa9fae0a52af7e0 SHA1: fe05e07e7663ab7a3205f00d9739edad47224420 SHA256: 10b936d63cefb77274462ca6dbe351c32c503d0f692ca2ea5a8428105744d254 SHA512: e858a2a6b49636b0a7b8f89f66c8284980c943124f15477a062d929033b49ae24b5feb3cbbfe34f4bd9b61d216474365b12c5a05618c46b786e7c6ffbfcdd1fd 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: 1.15.4-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.15.4-1) Maintainer: Adam Cecile Installed-Size: 21 Depends: python3.7:any, python3:any (>= 3.4~), python3-tensorflow (>= 1.15.4-1), python3-tensorflow (<< 1.15.4.0~) Filename: pool-buster/python-tensorflow-cuda/1.15.4/tensorflow-tools_1.15.4-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_all.deb Size: 8616 MD5sum: 31fcd4b2d8f71f327f0a73cf71a5a522 SHA1: 1c5f0443a447ab057cc20cf206377ec341a95a5e SHA256: 1ce62381dd113e926a1e5257879e09aa490c4c7f8209b4d7b0a30108d01eccfb SHA512: 13e537a52881af98aaefeb8988cd811ef7de4d8a698a063ccf625d80e0d625c1e7adcd1ea1b05758c521b9e445b561cb0f8e9988525203475d379c2dbba1fa3e 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.3.1-1) Maintainer: Adam Cecile Installed-Size: 161989 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-buster/python-tensorflow-cuda/1.3.1/python-tensorflow-avx-sse42_1.3.1-1+Debian-buster-testing_amd64.deb Size: 20260358 MD5sum: da5bcdd13801dcdde404c04272490515 SHA1: e49afc806fb91980b6b9d43de905ff31ede8866f SHA256: 84e889b801d820bab963f6a2fa4bb6b8ed705100c849608d5a6c7fb72bcd9a2d SHA512: ba08d5f771de3044ebc94cf22865e6eb7ec0eea25029e0c3797d27d1bb47e009bcd4fab93f27cfe4b0f361c70198b1eab95c3730071aab48252e29d7e6ac69aa 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.3.1-1) Maintainer: Adam Cecile Installed-Size: 286743 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-buster/python-tensorflow-cuda/1.3.1/python-tensorflow-avx2-sse42-fma-mkl-dnn_1.3.1-1+Debian-buster-testing_amd64.deb Size: 39752930 MD5sum: e52a496ce33bf409dc2af74529a33cc0 SHA1: 57aadeff66e576e5c3efc4fe94509acd0bf3ae5e SHA256: 5c8b29fd7d0fea4156d7466e80987b678c71ab9bde88b30ec9504dc84bf8ead5 SHA512: 52e2143bdabd95250c30ac678c42654b2725ebeecd0547323edf7f74a52716b0ee4ac1f58d46702f473121e804989ae9f6773ded2a54da1e3dacaff56222704b 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.3.1-1) Maintainer: Adam Cecile Installed-Size: 162157 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-buster/python-tensorflow-cuda/1.3.1/python-tensorflow-avx2-sse42-fma_1.3.1-1+Debian-buster-testing_amd64.deb Size: 20300736 MD5sum: b9263c31492545da2af46ec633d209ff SHA1: d8cbcbc84ff919a6251e06c2d32f47d203997c2e SHA256: 7242b8110c2e6bfa59d0a3828a07f2777d02649854d190a6ba0cf98cdd348d84 SHA512: f779fd2d8462bdeb411d1ccd8df42f0eb3989c17501d27297bc0672e41b75079f9ad86a05d575d5c84b01743b119c4434614083c45a8dcbaed4f8fdaf340e8fa 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.3.1-1) Maintainer: Adam Cecile Installed-Size: 685928 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-buster/python-tensorflow-cuda/1.3.1/python-tensorflow-cuda-avx-sse42_1.3.1-1+Debian-buster-testing_amd64.deb Size: 55433622 MD5sum: beb5e9e710a456927c7ed9fdff5261bf SHA1: 6ef329a08f51c38f04d6e20fc7e1bc3a9023a5a4 SHA256: 43ae355fcc803aa2c15cab3d2609868e78c4930f6c6e1367bc03b883c721f166 SHA512: 5a5ccab3c248596b3091e2dd14fe21fc4a43145faa86485e79a6e55156800ede2f5fecb829d678e99fe472f630a00be1c4ac193a70e014a8ee73666b5d62a2be 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.3.1-1) Maintainer: Adam Cecile Installed-Size: 685544 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-buster/python-tensorflow-cuda/1.3.1/python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.3.1-1+Debian-buster-testing_amd64.deb Size: 55565134 MD5sum: b9946f03a570ece3e056b0b7de9378af SHA1: 8a79e96867f7cc2a6836358092c265a33cc911c0 SHA256: 601cfe4408c67d1756d7ea210d2802dac3fbffddad18bd534af1c87ed1f76641 SHA512: 8cea4e147eb62824b45388fbca8608c64ba607607c4b854c8d3add8418fa6d28a3243ff6dc862c7759fd1fa6482ceb3c781c7ff2ff3d6a3fbac2d5c623efeca1 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.3.1-1) Maintainer: Adam Cecile Installed-Size: 686073 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-buster/python-tensorflow-cuda/1.3.1/python-tensorflow-cuda-avx2-sse42-fma_1.3.1-1+Debian-buster-testing_amd64.deb Size: 55448838 MD5sum: baf159a4c1317bef9368698ffaf99c30 SHA1: 968dd8928999ec52f75ed6b39b41b40e9bd95e2b SHA256: ce0a3471abbac9f6d0c71128606e2ad83b40907deaa9b8ddc9cca5c48621a618 SHA512: 00134803b4e537d0a8f957f12a7011043e024ae0757fc8c4e5cdb58aab4c805348a3c46e4370e8dcc63d8219beea83bf5fdca2257bd3c82fe2b123379912329a 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.3.1-1) Maintainer: Adam Cecile Installed-Size: 289103 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.7), 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-buster/python-tensorflow-cuda/1.3.1/python3-tensorflow-avx-sse42_1.3.1-1+Debian-buster-testing_amd64.deb Size: 32676618 MD5sum: 6959f778ad360c0c6c8da7943eda3e98 SHA1: 3a3bae308910397511375300882124715dba0033 SHA256: 4e0e0ed48ac409878b573fc54086d3caf40d8bd2d478ff453f2aba662f42b74c SHA512: f7a01fb3f17b17720875646a39505c3e7968fd92f4cc0d355b699df7e0134910810ccdaf9cd6fdc667a8d2c769029b8595237a0c83d946b6abea5ca356b6379d 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.3.1-1) Maintainer: Adam Cecile Installed-Size: 538581 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.7), 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-buster/python-tensorflow-cuda/1.3.1/python3-tensorflow-avx2-sse42-fma-mkl-dnn_1.3.1-1+Debian-buster-testing_amd64.deb Size: 69854782 MD5sum: 3ace00880cee33bcca5435dec3ba7afb SHA1: fd35b22342008a11513c749ae509d78cdd064203 SHA256: 6c979a18d0f7f2714ddc47104237856aa70e458905bde2204dde50bde0c4574c SHA512: 90933bf043414535e40ce1dc741c7a9a25fbad6b300ca983d2676ab1906686cf57707411e92d1c9fedf01fe803d5163e0fb171fb82c419aa766347c769faff40 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.3.1-1) Maintainer: Adam Cecile Installed-Size: 289428 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.7), 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-buster/python-tensorflow-cuda/1.3.1/python3-tensorflow-avx2-sse42-fma_1.3.1-1+Debian-buster-testing_amd64.deb Size: 32727120 MD5sum: c0b511b8b75206f6c427a2dd2ceb336a SHA1: 7cba8f858c0cc86b280a179ac418ca6d050e5fd9 SHA256: ad76a999df86f25592a8065ff581e8abde13aa73fac4bb195a758241a1f844d0 SHA512: 99e5b2e963e4560b77686f43f0f343e25ce5c9e1c63ad446087de85b244557ebfeeb565d24ab17fd140e9aa347f981a806272d7747ecf880f35d09a6e78922c6 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.3.1-1) Maintainer: Adam Cecile Installed-Size: 1336971 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.7), 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-buster/python-tensorflow-cuda/1.3.1/python3-tensorflow-cuda-avx-sse42_1.3.1-1+Debian-buster-testing_amd64.deb Size: 103609116 MD5sum: 93ad21b95e2bcfabd6b7dcfb88441bb1 SHA1: 8a528cc56c13e9e8f3bc21435a4939c1d1a01199 SHA256: 54e656c86cd5d074a324fdda02cbb08fdf95b4c8bb910ad45124890149211577 SHA512: b0b15a6828d9e5141a3117bf37840184e21f8e6abee82403e134b1b415a83fc4acf49a01a9ba7ee37b4ac34bf78fe8ae0fe776e59bcfe1d6228abe28269b3431 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.3.1-1) Maintainer: Adam Cecile Installed-Size: 1336203 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.7), 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-buster/python-tensorflow-cuda/1.3.1/python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.3.1-1+Debian-buster-testing_amd64.deb Size: 103615770 MD5sum: a28f2cd127d35196e633c4f94581ffc0 SHA1: a0e8a99fbfa0782eb2c8218e1b7a4c190c2fc52e SHA256: 48e6dcd3ea48f79a107bace691fea3a9d7a31a955266111738acea44ec7601a7 SHA512: dea51288e2792bff8c0807b30aa384e7134228f79d3e447889ce7352ef43e622782b6bdd5bc15d3a120bfa6a59d82ef305751553d179539c1f0230f4fa2f2577 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.3.1-1) Maintainer: Adam Cecile Installed-Size: 1337253 Provides: python3-tensorflow Depends: python3 (>= 3.5~), python3 (<< 3.7), 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-buster/python-tensorflow-cuda/1.3.1/python3-tensorflow-cuda-avx2-sse42-fma_1.3.1-1+Debian-buster-testing_amd64.deb Size: 103585450 MD5sum: 25eb9e87feaaa89f007f97340efc9dc9 SHA1: c8708947432373d3571985ba8c4d6765ccd80087 SHA256: 82bfea11be472ca8841bea7c2bee7613bf1dafafef0334ce3cd506507e9cbb3b SHA512: a60cb0c26d082d955358477437e2f7b2a82a8605f131de70b018cca8d8136b3d1feb17cae84f8e8a9e2d4885eaf1c9a1409af42e3d70a69343afff70279388bc 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-buster-testing 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-buster/python-tensorflow-cuda/1.3.1/tensorflow-tools_1.3.1-1+Debian-buster-testing_all.deb Size: 4064 MD5sum: 7925db650d2eb99192c88849030b573a SHA1: a01c7bab5191dcc07cdb68a9f671314ec4a8771e SHA256: 14f1b35f1fc74c5135af806124d295ce5121ec99c549038c61e51806b33c0159 SHA512: 327d6731e247efdaf9a3398d36cd884fffd41b6926589c2aaa97a309db844d5a3ff854c24c296d85c022c8a8fdc8deba208778a458d2cdc41348644e4b97bf90 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.0-1) Maintainer: Adam Cecile Installed-Size: 197708 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 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.4.0/python-tensorflow-avx-sse42_1.4.0-1+Debian-buster-testing_amd64.deb Size: 31670630 MD5sum: dedaadc5d1ae694e2008cbf224fa41d2 SHA1: 54fe82d88467a729a9b884e7a881ff8138d44e46 SHA256: 269decb9e614b31d22081448d29c5b51409ac7880a6a392a2e60d04fec1c48bc SHA512: 7b7015e108f7fa74c39fb1870cfc5f4a5a13bd3ef904db7d8b8fd0ab9dac8d49b34760cd0c349f40970fd95cee9ffa1b0957d482e778e4112915866b36e371d3 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.0-1) Maintainer: Adam Cecile Installed-Size: 330454 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 (>= 7), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.4.0/python-tensorflow-avx2-sse42-fma-mkl-dnn_1.4.0-1+Debian-buster-testing_amd64.deb Size: 52103566 MD5sum: e7db55d0a7f70f36cf87ef50c516f845 SHA1: 969428a68333a5faae7d849e7c56ed73719032bc SHA256: 72eabab5f8c9d5e5bf325ec22941e9de79129e10354588fd15e81c8aa165574c SHA512: 32ab42096c79f97e9df7262543bb82c3b07bdcadc18c8963aae7f4bb7140dfc05c1d0ccee892a0acc9270dcc088eebb7627c9cee4612521ab3caf4fd51c613a0 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.0-1) Maintainer: Adam Cecile Installed-Size: 197911 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 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.4.0/python-tensorflow-avx2-sse42-fma_1.4.0-1+Debian-buster-testing_amd64.deb Size: 31732034 MD5sum: 777e27737680ad955d4730df5ee30e7e SHA1: d010093dc1e951087bc3c0d8985db338cc33c767 SHA256: c8441b96f197e2492e1954e64b8da2d61f9a81a6de5f5181dfd81bcbd09fdeb9 SHA512: fe5e4b96888fabdbdebf883a7cb0097b2020bdbadc7ebb66cde5999a1687e9f47c9eddbf5769eb19727b7fcd7b01fb78238585c1bc1bd8b78c1bd830a638ccb6 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.0-1) Maintainer: Adam Cecile Installed-Size: 771109 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-buster/python-tensorflow-cuda/1.4.0/python-tensorflow-cuda-avx-sse42_1.4.0-1+Debian-buster-testing_amd64.deb Size: 74004130 MD5sum: 951bf2f61629f492bf30582e56895190 SHA1: 11053857aeeebcabab9a690d16e7eac185ec9220 SHA256: da9dc1341c2aa2b1671a47359fc0e89833a089435451da77148e318eac01c05a SHA512: 10f433023cfaf2523f3edebc5b020c39450058bac4acec076cdf86aa3ad18ac915fa5e0ba3ec82a885b26bbbd35616c83c863009bdb80ea50098f327e48fc6f0 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.0-1) Maintainer: Adam Cecile Installed-Size: 780016 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-buster/python-tensorflow-cuda/1.4.0/python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.4.0-1+Debian-buster-testing_amd64.deb Size: 75743730 MD5sum: 33391c508ead6a0b280f86d74edcf7ca SHA1: cea065d5f7bf8d6e59194e4afed6eeaad213dcf3 SHA256: c40899623fd287f02c762670bfdd3951d98550cdcb561f261a790118411d2693 SHA512: bae6e4477452b3dc3922012426bee05423654e457f663e08180ac81a907150ca480762dac2ff3928a9ab18cc5f93007905ebdda1a09d8f115f94c78c866219b8 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.0-1) Maintainer: Adam Cecile Installed-Size: 771276 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-buster/python-tensorflow-cuda/1.4.0/python-tensorflow-cuda-avx2-sse42-fma_1.4.0-1+Debian-buster-testing_amd64.deb Size: 73990530 MD5sum: f31e43cff5ef555d4745fb5505361653 SHA1: 28f4e61aac6496d798312a67ce95ba9453c559ec SHA256: 0e073b698ca3b6db7cfc4c18a6c7b596f4304efe3f43cdb73e4a3f6a34e75ab3 SHA512: 243b5ffdc2797870569be79359fe7dcde4973a204d78ea0e53a8a258e88415dead8e0a7f15c26f08cd1efe1c76cce7c6752eab613d21489cda72403a4f55c5cb 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.0-1) Maintainer: Adam Cecile Installed-Size: 197698 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.7), 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 (>= 7) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.4.0/python3-tensorflow-avx-sse42_1.4.0-1+Debian-buster-testing_amd64.deb Size: 31654330 MD5sum: a39883ebad6f5a915f8dd7b492901e21 SHA1: 0c7c06e34699104ea0d1dc785204edaadb793c4d SHA256: e06dde0e7812b4d87da313f9413c3330c7c4187849861cdc079735425ad38173 SHA512: 27a8baaecd8cf1a5b68e02b283fada6a75bf2c0535072920f4538bf096f186ad6231c247e4fd436ef7049705b8a084f0c519d2e1df9cd919c34886787706e608 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.0-1) Maintainer: Adam Cecile Installed-Size: 330444 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.7), 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 (>= 7), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.4.0/python3-tensorflow-avx2-sse42-fma-mkl-dnn_1.4.0-1+Debian-buster-testing_amd64.deb Size: 52092962 MD5sum: c24d1aeb327f39c9e9b34f1ea719afae SHA1: c4d87dab016e1bc090526907536ead28550077db SHA256: 89383fd87e28c3765d646d63c85a2e29174d71caf9b8bf92c66199d7a7f7b927 SHA512: 19f24565b5cea92570b2897db12cad0234f537c448a86fb21f735bd0ba73ad7ab70b1de9a6c5532a6db79d92fd002962712016f9dfa9a01b98b9ab609073fb9b 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.0-1) Maintainer: Adam Cecile Installed-Size: 197897 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.7), 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 (>= 7) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.4.0/python3-tensorflow-avx2-sse42-fma_1.4.0-1+Debian-buster-testing_amd64.deb Size: 31706306 MD5sum: 1c44d02841a3db24a6c07dcef5b4d0e0 SHA1: f67c4f418610d4c79630d84ae0379f2673cff093 SHA256: 600e603cdcf16482b87c0766eb7d642484a40f693a326d0842a29d1344894b4f SHA512: f1c8e244399d578fa61f032546f6f7b2ef6c231b8aabeb586b8b7349f7540eb3f4f9d13f33131bb53c1c384a49add868dbfdcd75c2427aa7151fb09869382aa4 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.0-1) Maintainer: Adam Cecile Installed-Size: 771108 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.7), 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-buster/python-tensorflow-cuda/1.4.0/python3-tensorflow-cuda-avx-sse42_1.4.0-1+Debian-buster-testing_amd64.deb Size: 74041962 MD5sum: 0f686e7321f79252f1c5780ba48f5e14 SHA1: 44e1fd1f35c8cf80337a7ded4e7236d0e8eafed2 SHA256: 018097d34cc09299bd5f65049eceecc71dba3d2a5243abfbc25514b0c38800fd SHA512: 5b86b207207008e58b4ec50a525ee8744b1933db22b3d26378f27b77a2e5d02a251398ccd45f9ee0216e4bb677474fec2bf4383f80abe39e300940d0226da50a 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.0-1) Maintainer: Adam Cecile Installed-Size: 780015 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.7), 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-buster/python-tensorflow-cuda/1.4.0/python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.4.0-1+Debian-buster-testing_amd64.deb Size: 75617426 MD5sum: 9201c3a0599119b8328798d090087444 SHA1: 01484a66233694097e40392da9bdadfc04eb94e8 SHA256: 9d98723955240fe3cec73d2c19721874b400be67326c09ef4edd8331a50518fd SHA512: b7f2db9e122cf1aaaa78a3e69216e8c7e42b7800f3ed115a65ef2f09ba0bcec977d189ad9eeefdf4839b8894bc7c4831be05bb76b54d4c61d194a8f09efd53ba 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.0-1) Maintainer: Adam Cecile Installed-Size: 771276 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.7), 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-buster/python-tensorflow-cuda/1.4.0/python3-tensorflow-cuda-avx2-sse42-fma_1.4.0-1+Debian-buster-testing_amd64.deb Size: 74018378 MD5sum: 03c504a0bee6dfc081a10d8897480421 SHA1: 53bed529b8f0281f84719d14034a107a35f9b004 SHA256: d970a61ee88bcd7af4c80e90b035a5faaf371b538b1826eb0b63756fbb185b81 SHA512: d00438954ea4c7186a06877f43b4d8ee935bf04e347343ee60173bbf436108a5f253e6dcb8fdd3282c542b0549bac563e58953616f6d302d10f174657411c828 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-buster-testing 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-buster/python-tensorflow-cuda/1.4.0/tensorflow-tools_1.4.0-1+Debian-buster-testing_all.deb Size: 4700 MD5sum: fcd374556cf29ef3f00b16bb59bae75d SHA1: d2757e9ffb9248ba53a5a805302250d53ee7a167 SHA256: 2e27404cc8e4744a897455a1f4ffbfd78485052572e247d9849bab7a2e24dadf SHA512: 078c93a2229997aff9873e935511326e50c96024bc994e8cd6132671c4f2e6b92b172a60ac846e743551c09e8df57b75a2f9a5e838dbd30c7023273ccf26ae9f 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-1) Maintainer: Adam Cecile Installed-Size: 197933 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 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.4.1/python-tensorflow-avx-sse42_1.4.1-1+Debian-buster-testing_amd64.deb Size: 31700494 MD5sum: f057a389fef1f6fdf8c941dc565c8afa SHA1: a3b45a58b8b560433a0d8ddfd5ceeebb2bedba77 SHA256: 5604263a8153634f28f62c7e36bae1ee345f6a358869fb9e77dbcbc1785d9b8d SHA512: 651400fe2160922e93a30316aeaaaaa907c2888d2ae331859f6c04e00494e864d8b48dbbbdafa2c0044172d452ff65752a08ca3ec561b44252c5a5dc91539a38 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-2) Maintainer: Adam Cecile Installed-Size: 197946 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.4.1/python-tensorflow-avx-sse42_1.4.1-2+Debian-buster-testing_amd64.deb Size: 31699294 MD5sum: 843bad8cdfb0b5bb71b75ebeef21c482 SHA1: fea1587c484857eefa5713983b3b9fcc3190be6a SHA256: 97fedce10935462392a36c6e8e809855ec14ccfcaf191e1f60a6f8b49658b84d SHA512: ba2249ecd0a7e83268feaf2516df64f84a5792dd6ea21a0c9128e3c3d0425093f1ebf13c5df99834d1567a3972950507b89609915e0f427550e811eca4f787d6 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-1) Maintainer: Adam Cecile Installed-Size: 330683 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 (>= 7), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.4.1/python-tensorflow-avx2-sse42-fma-mkl-dnn_1.4.1-1+Debian-buster-testing_amd64.deb Size: 52183250 MD5sum: 7145fea78fbffe507248757bd749c981 SHA1: b2b892056722d0fb92d2ef0168e0ed585fb106a8 SHA256: cd88f5934c0e6ec90271b03e03aae2db08d2a058846df149f3ab019dcf4432ca SHA512: 6dee3fdfbb868012d2a2eb07b32b1890c71fb704b6c14d3700d41cb288fd21d2a0fc36e00262622a26b882c22c4f44b388d2216ea2637be04826aa469d9e0aa6 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-2) Maintainer: Adam Cecile Installed-Size: 351462 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.4.1/python-tensorflow-avx2-sse42-fma-mkl-dnn_1.4.1-2+Debian-buster-testing_amd64.deb Size: 53870278 MD5sum: 7e0f7ab74a260a2d92a83af091397fd3 SHA1: efae33fcfe3537b34937ac98f342a59853024837 SHA256: b366d17335a65561fdb9dd9e65bcad1404479116081c32f3a0312ed8cb8d1430 SHA512: 1e1bd433a83bcde18bc7e19796593ddaa49e9e3c264dfcefe39f98bd84412388e58a92bba3d33729998cfb19faef6ce67523203d715d9dc3710d128978d2eab3 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-1) Maintainer: Adam Cecile Installed-Size: 198136 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 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.4.1/python-tensorflow-avx2-sse42-fma_1.4.1-1+Debian-buster-testing_amd64.deb Size: 31757590 MD5sum: 8e80ab068ea3461481a02dc1bd0e2701 SHA1: 055318342754ebff9ee9dad178f5abb2d751c2b1 SHA256: 3ac0c116adb4f5e4b1898d1720c5bb938ab4eca64cdc5dd06367af7a52f9394b SHA512: fe7f43c6af99c2e7627f8c666ad0de3acc125b8446f2094273733b117aee17f5f79ad3f5ddcb5bcbb82a74437815657e93eeee6df517abb98909e16090947b38 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-2) Maintainer: Adam Cecile Installed-Size: 198137 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.4.1/python-tensorflow-avx2-sse42-fma_1.4.1-2+Debian-buster-testing_amd64.deb Size: 31739182 MD5sum: 3d1a43175183c9d238fd4a91c0390873 SHA1: d2d34f562a0c939ce5ed3e712b18dee18930bbdf SHA256: fe8a3b40d710fa461751e9cad6ce1f6ea3e1edb4b4f2ebeb5eeb8ca8b216e9a8 SHA512: 08800682abb2b714ca329cd14fca55d20b10e8e014a9512afbaf898ca53ee6da9ea3498965edefab3f7e55ee87a009e68f25c18ca0a60c7cbdee04feb11fbfb0 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-1) Maintainer: Adam Cecile Installed-Size: 870168 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), libcublas9.0, libcuda1 (>= 346), libcudart9.0, libcudnn6 (= 6.0.21-1+cuda8.0), libcufft9.0, libcurand9.0, libcusolver9.0, 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-buster/python-tensorflow-cuda/1.4.1/python-tensorflow-cuda-avx-sse42_1.4.1-1+Debian-buster-testing_amd64.deb Size: 81651730 MD5sum: d7ea3848c3b884c62d1edd6037b6e112 SHA1: c2e1846fbbe08da60f71b4f982a4d61a6cbfe55e SHA256: 029405884563d94881d9a7b41818c25bb5897093a0451f407b0582921ae4ae05 SHA512: beb815c21f1cd8cc73acac5b9ad4c5deb70de377ed7c012a870b1832349325627cbe15a4be6e0aeeb132dc4400f6d0f5240987d2c8d47647003302b328408661 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-2) Maintainer: Adam Cecile Installed-Size: 854146 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.4.1/python-tensorflow-cuda-avx-sse42_1.4.1-2+Debian-buster-testing_amd64.deb Size: 82041590 MD5sum: a3c93c08d23ec67bad160de91dbb6b6c SHA1: 7e5d3a7b43ac72aad742652a9575a415e56c04ec SHA256: 6625145cc7e23fa6ff8c46bd9e1373cb65f57c376e8cfa1f1d4c9b5078bf21b2 SHA512: e8f98e5a74c4f0f42568aeb7f6c8fe3df78ba9110b7255b0168e33bcbd89140b1e981418d3170b1c735d42c9178ca0b33e579eb03f1ae347659448d0f244e800 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-1) Maintainer: Adam Cecile Installed-Size: 879076 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), libcublas9.0, libcuda1 (>= 346), libcudart9.0, libcudnn6 (= 6.0.21-1+cuda8.0), libcufft9.0, libcurand9.0, libcusolver9.0, 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-buster/python-tensorflow-cuda/1.4.1/python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.4.1-1+Debian-buster-testing_amd64.deb Size: 83100918 MD5sum: 3c85792ecf0d5094785be0a2ca7af441 SHA1: 5235b316209bf0b9560ffc232788266873976721 SHA256: d04c8124315f50063cc891797699cfd22ed45da3cc70a8875346bfddcfa9677a SHA512: 1b00dd8cfff4c7f475bc5b9424fdb4b9b701e4ddd0e0574795c6c88053159278358cf373730cd04f35c0272c4ea3fb59fa43bb6d732edc83d3ff8d9b0ce67d3a 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-2) Maintainer: Adam Cecile Installed-Size: 861861 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.4.1/python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.4.1-2+Debian-buster-testing_amd64.deb Size: 82169938 MD5sum: 01beefd8a5c68b3d862d28cb077f7940 SHA1: 28835de74d1a8e0013ab7d05db5009f24aa4f399 SHA256: 56b4f737c841df4da6acf9e1df3177aea03d3002095bcb118e9dab154c686452 SHA512: cbd8fcecbb8581a9490d0067ba24e3d980749b7989ccd1395711c042e714cca0715bc72b305bc8bc1c0b8bbbc766c0fed38bb7a41442d74e397c14f8e3dd73ee 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-1) Maintainer: Adam Cecile Installed-Size: 870337 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), libcublas9.0, libcuda1 (>= 346), libcudart9.0, libcudnn6 (= 6.0.21-1+cuda8.0), libcufft9.0, libcurand9.0, libcusolver9.0, 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-buster/python-tensorflow-cuda/1.4.1/python-tensorflow-cuda-avx2-sse42-fma_1.4.1-1+Debian-buster-testing_amd64.deb Size: 81558894 MD5sum: 85df8a32fb34a70f66f04602e8bec664 SHA1: 6cf4423c0fc4c6841ea898028990380f0dbadfc9 SHA256: 55c194a16eecec79ebf44e88bb45a710db8bc44277476df29720dfeec2f764df SHA512: 545cab404d411abf7757470647e708ac5c5189e1e8071ccea0f413271840ad3479cc3a4f68e297fe09c53515806046e70ac3e987e5ba9017636649152af4de51 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-2) Maintainer: Adam Cecile Installed-Size: 854348 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.4.1/python-tensorflow-cuda-avx2-sse42-fma_1.4.1-2+Debian-buster-testing_amd64.deb Size: 81796926 MD5sum: dda6a37ae366ca174c0b5058606680d4 SHA1: 47a69a1c24cff93f45581a517b9ae691ba697b5c SHA256: bc3091d44759e77a44bfb4368b814eb8d25a8b1b5faa3aededc98780af06d4ee SHA512: 1f667595bc69bbc835c35745c47726fcb247e28d691d32336bd4e08a02457b70d11247610a66b4e268cc4682100f87f5ec654aed3c9d1662992ce5b0e95ce51e 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-1) Maintainer: Adam Cecile Installed-Size: 197923 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.7), 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 (>= 7) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.4.1/python3-tensorflow-avx-sse42_1.4.1-1+Debian-buster-testing_amd64.deb Size: 31698018 MD5sum: 8aab2cfc987f7d0b11764aa750cc3518 SHA1: 4beaf1171fdfc85924e007751c7366e75f287085 SHA256: effc9169ba204e66e500a65fc2b230772493149d9d336c7e99518c61c08206f0 SHA512: b07a34c36cb4bd317031ea36c4e2fc761219e9cab03c34ed5df7281867335f3e0d8340a4601e5a8657de62fe8f59b7362dfa9a2f9d007509dd28590d0b619aa7 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-2) Maintainer: Adam Cecile Installed-Size: 197932 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.7), 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.4.1/python3-tensorflow-avx-sse42_1.4.1-2+Debian-buster-testing_amd64.deb Size: 31700714 MD5sum: 65e0ef7934fb1b72f0df48598c050b87 SHA1: 615267757b32a6c03ab01c5d5f5d722062fe3f42 SHA256: 2d5e4cdcbe57f59153bcbe3f0b172b0e26c360522440353c6c9711dc62bad40c SHA512: 842a848ba931c56f159f18c24dd1f13a44f4f14e0b6d56bb07f05ada772b124ec46b25c0b3352be5d0361c29c683ab52475e9bfc2d348726dc2e66acc4a8f65f 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-1) Maintainer: Adam Cecile Installed-Size: 330673 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.7), 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 (>= 7), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.4.1/python3-tensorflow-avx2-sse42-fma-mkl-dnn_1.4.1-1+Debian-buster-testing_amd64.deb Size: 52127402 MD5sum: 12a9d923ebf0835b89995c5c50699624 SHA1: c4eeec58ae1db31181b89151dce297702eac7951 SHA256: f461a295b83792f4643ca7161077d74e08c6a315f05a421b645eeb66ed27656e SHA512: 2d8ab590a93a1eaacc50f8b20607f16c51416e4bd3b44ba29549649e51d5c73547076df7175f0d14912959b657f017ae1854a910d3241cdab21f1bad21c700c1 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-2) Maintainer: Adam Cecile Installed-Size: 351452 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.7), 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.4.1/python3-tensorflow-avx2-sse42-fma-mkl-dnn_1.4.1-2+Debian-buster-testing_amd64.deb Size: 53858762 MD5sum: da42b29a540126d1875aa92c7b843a24 SHA1: 419a86811d9559f1e7b61e91f1892a795a2adbce SHA256: b18527b77ac23930e5076cc6b74c670894f82dc32d8f290bcf8436626193e8ed SHA512: 311a64ea7c6de46fd2a82e5e4538814b71079af2fa30e8f8a9b129bccae8f96f6ee31ce87b1d1786ec77cbf4e73f098bd3bbf81364e8148d2867627f0b583c72 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-1) Maintainer: Adam Cecile Installed-Size: 198126 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.7), 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 (>= 7) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.4.1/python3-tensorflow-avx2-sse42-fma_1.4.1-1+Debian-buster-testing_amd64.deb Size: 31754450 MD5sum: 56383c9dcfa78a56cc58f5b543dcd2a0 SHA1: fb0edbd3f29f1017b613504ad8f0803524e50bcf SHA256: 467cf302ddadcc66c4e5c49778bcc1b7f3b70cf16ddcb4d21545c2e50afb5eb4 SHA512: 820bbbea5e21250c5a7b9b5069db813fca130d8973ee4e958908b61505f63cc286aba076da7f099ce21f3ca5719e9649050bf7d994ed08c13224915e95613b36 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-2) Maintainer: Adam Cecile Installed-Size: 198131 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.7), 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.4.1/python3-tensorflow-avx2-sse42-fma_1.4.1-2+Debian-buster-testing_amd64.deb Size: 31729362 MD5sum: a297d90d56897082b4cf3b4ac57347c4 SHA1: 1611af3c14c936c444201c32adecacd6fd849dd7 SHA256: f0fedd5f03543fd1980d326a192d82e2e7261524ae1bbba28fa0e5cb9d4731d1 SHA512: dfa9219ab217c7beb7b613c39d0e6180e274ac15dcfda15f41758ffb1fb0e5dc40759c53fd45bf2a1453688cbf84089c1fce4adde0293a48802036d926167fa8 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-1) Maintainer: Adam Cecile Installed-Size: 870164 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.7), 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), libcublas9.0, libcuda1 (>= 346), libcudart9.0, libcudnn6 (= 6.0.21-1+cuda8.0), libcufft9.0, libcurand9.0, libcusolver9.0, 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-buster/python-tensorflow-cuda/1.4.1/python3-tensorflow-cuda-avx-sse42_1.4.1-1+Debian-buster-testing_amd64.deb Size: 81701242 MD5sum: 9eef55de5d3c30bff1075cb93645a83e SHA1: b0a6137392ff224924703e1767113a0a6dcdae2e SHA256: 49dbcbec7a9a4ba7c606d18c5bf8b88b621c20f8c1ce5e09792d7b69a68b78a7 SHA512: d7d0036c394caed0c6bd84f81e76eb6319fcb1049284dc927d541469822072df6ab7692667a4ca69f3d393c0cf56ef542529cdb4630898804f7df70dfc1fa8e0 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-2) Maintainer: Adam Cecile Installed-Size: 854137 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.7), 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.4.1/python3-tensorflow-cuda-avx-sse42_1.4.1-2+Debian-buster-testing_amd64.deb Size: 82085586 MD5sum: 00d1cddc444f80c33bd3ad738ccf4d9c SHA1: 9cf35242fb7abf90effbfa5c651b2122e96d4314 SHA256: 9a7355ec60cf2a09f50603a4780d075326ea2c3d129d0f5b10791ace69925559 SHA512: 3dc40547f67f802aeee236211e1a92a9084ad541a8be74fe189107806897e59fc2371c89d3112d1871b2582655b9f4003bd0ad63295df113acf367d1689aedc2 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-1) Maintainer: Adam Cecile Installed-Size: 879075 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.7), 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), libcublas9.0, libcuda1 (>= 346), libcudart9.0, libcudnn6 (= 6.0.21-1+cuda8.0), libcufft9.0, libcurand9.0, libcusolver9.0, 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-buster/python-tensorflow-cuda/1.4.1/python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.4.1-1+Debian-buster-testing_amd64.deb Size: 83178402 MD5sum: eb198539a3cd8a179689a4764b3b7f90 SHA1: 498dc224615b272e3c5eb065d7de67819428ebf0 SHA256: 06b9c7471a9780a6df4353c4061355f2a6bd136f84ac0694d8880e71589464f2 SHA512: ab1c76426ff1b7c72ea7ca5e8d614f627c71a1b7a31cb6f670bb4c264d6b0f0f775fe0ff7e939acf87660d090b7e2042c3774901b743feb368887739ee841b52 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-2) Maintainer: Adam Cecile Installed-Size: 861848 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.7), 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.4.1/python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.4.1-2+Debian-buster-testing_amd64.deb Size: 82151478 MD5sum: c6d7e992f36df11eed6e7dc308c179df SHA1: 17f5ac203792b93f864cef542ba412f1fcdf1cde SHA256: 36bab669ad9b5337afe76c48fa92cb5155d06de972ca355852301a15d03019c6 SHA512: 02f67c499f486f33c06f674d9299df7769572d384a078eff7e3bac2ef109a4d130d00f22fa3cbf7c88af0326d4913fd894288eec4b7784fa43ed8c44a88a1180 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-1) Maintainer: Adam Cecile Installed-Size: 870336 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.7), 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), libcublas9.0, libcuda1 (>= 346), libcudart9.0, libcudnn6 (= 6.0.21-1+cuda8.0), libcufft9.0, libcurand9.0, libcusolver9.0, 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-buster/python-tensorflow-cuda/1.4.1/python3-tensorflow-cuda-avx2-sse42-fma_1.4.1-1+Debian-buster-testing_amd64.deb Size: 81657026 MD5sum: edb37f2d56fb205b3ae69e51eb8426b1 SHA1: a3cd5ce7caae2539aa7d5a0a399c8f22e63f6c96 SHA256: 29ff4417b03538a389ec2cb82eafabba679edec94b41c217c2e36a799351bc17 SHA512: 487f4b3e068879c6daaf77c4b442e1cc58ef5f17535f4c13d2d5ced01cc75cbeb474071eec8f5e1794c0f75b0c174b7e9c7b78ef357b57ffb3c9b5a788ac6d54 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.4.1-2) Maintainer: Adam Cecile Installed-Size: 854339 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.7), 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.4.1/python3-tensorflow-cuda-avx2-sse42-fma_1.4.1-2+Debian-buster-testing_amd64.deb Size: 82039318 MD5sum: 504cd6bac6a32aaf3f1992429a6db3df SHA1: d3aa5758c8404e9c15bb49f78d6fae4a51c8c4f8 SHA256: db238c9bdcf548b871804365aa9b9719c9ea4d089c75b436fa9b93dd37029e60 SHA512: 2fbbd9459f40e99f4841f98d6106a5b9c934b0e8b7f95b8c093060aadc667f7ea6a2817d8ce44e85710f4d65a432292fca73641a2b2c3e1c59c2178215c71199 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-buster-testing 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-buster/python-tensorflow-cuda/1.4.1/tensorflow-tools_1.4.1-1+Debian-buster-testing_all.deb Size: 4852 MD5sum: b350330138d788675d1f66aaacec45ba SHA1: 2fb11cd59d88875a7926235bf971a8e5788a4ed3 SHA256: b75103ec9eeac2cbb92c499f9fade831a0120ec96298919b6d08deb68364bf5a SHA512: 3490b3add85edbecebf17fc70892db4bbe2b3021db972ec1861f40b5a5e1731b50d264c373b73089444cd15fa9afd7c6bfc7ddb87ca1a29b9259921cfa6938a2 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-buster-testing 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-buster/python-tensorflow-cuda/1.4.1/tensorflow-tools_1.4.1-2+Debian-buster-testing_all.deb Size: 5048 MD5sum: 3cb2f3e5bd1dad08484684cca67cfb9b SHA1: a118f5eb075ca72778a4f7e093b03d72ad2c9887 SHA256: 45f780c08d0051d95092a55f3c59a7393877725c05f21e00a91d22f48a0b3b5a SHA512: fc2e2ce9517d090d7ddff3a8b7c2028168281691edcea5f324403bfca08119d2e93b5c47008c45b0e84ed9cc8afd6e0c89f00c719e8c00816c43c96b6a851aac 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.5.0-1) Maintainer: Adam Cecile Installed-Size: 218328 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.5.0/python-tensorflow-avx-sse42_1.5.0-1+Debian-buster-testing_amd64.deb Size: 34965560 MD5sum: 5d8631679ca01a701ae2942e38968309 SHA1: 17c780c7e4e15d27975b209000961553dfef01a9 SHA256: dd7f7459e68a6ce34872550221fa1c6647c42960ae3e67f03a763241f1b70238 SHA512: 29ac313d7b5d612633e4bdc31ec530d6801170e54e017d087056435e029201f11d026854dc470515aa686c2572bd28ce4e6ec304b9b4ef550dc19d8147cec8d5 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.5.0-1) Maintainer: Adam Cecile Installed-Size: 371310 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.5.0/python-tensorflow-avx2-sse42-fma-mkl-dnn_1.5.0-1+Debian-buster-testing_amd64.deb Size: 57002220 MD5sum: e3a950942b47c7ae8fae5e338bb8f1d2 SHA1: 8f5c1f82b18e089e10d2457baeafe90fb7fb1b26 SHA256: b81cd090e5d9a239e330deb7d7b27240204b4eea0f4bc49941bd3ca14d78cbe1 SHA512: 6eb1e7de51a116e43a03981b0d84bde921b62ccee3a383eb48d685115cc247f761d779a4a16c44ed0800115f4946151e52b22a05a4614438251b2073493b1bb2 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.5.0-1) Maintainer: Adam Cecile Installed-Size: 218377 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.5.0/python-tensorflow-avx2-sse42-fma_1.5.0-1+Debian-buster-testing_amd64.deb Size: 35003312 MD5sum: 61ea437380951ebfcea40dfb8db96d68 SHA1: 1ced01df73b70d61f0034d353b3227f7885d9e06 SHA256: 627a6b2c07520e915076e74978e9311edc8098ee96f3afc687c80dc04591da33 SHA512: 7d13056d3d47af615c5117181f515ebac8d191a659f01f15d25207b61760754bc70a48f244ab675a10986d24e1e635ae01ff1f03ef2c3858f4bff9473811bba2 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.5.0-1) Maintainer: Adam Cecile Installed-Size: 987205 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.5.0/python-tensorflow-cuda-avx-sse42_1.5.0-1+Debian-buster-testing_amd64.deb Size: 91022244 MD5sum: 54f95e2276bf643b151870c026d0e051 SHA1: 1077e3afc13f4ee039778ed68423400dfda3db20 SHA256: 9b22347d42de2c47255c94ac64d3feb61b7b04a6ef82b37bc5effaad9f589dda SHA512: ac08228fd22b536153ca428d77162f7a1af932c1715844f7075444efb3ef25d637a2599d9dab67a88906a14475877bdca926cc5ed5b8c8417569fa3f14bbbc7f 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.5.0-1) Maintainer: Adam Cecile Installed-Size: 994667 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.5.0/python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.5.0-1+Debian-buster-testing_amd64.deb Size: 92233128 MD5sum: 95bdf25d7ed485c9383bae9b0d90ef4c SHA1: 00066c510e50d74f7148e213fa38409a9220239e SHA256: 7058f4e152a8cad49d260a4c7e174ef63d6203b81b7c32bee2a90a95ad2c0e9e SHA512: b99a891ac75557b7f46c4d33664356f630ee4e56ae110219d643c881eb420b745829c55a2599f5f69ca2079ce09fa0af64ebc720ddb8e6ce1964034ca08dd6d6 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.5.0-1) Maintainer: Adam Cecile Installed-Size: 987470 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.5.0/python-tensorflow-cuda-avx2-sse42-fma_1.5.0-1+Debian-buster-testing_amd64.deb Size: 91151816 MD5sum: 808ee00d7a76df8e1db7c29abed7b533 SHA1: 3a90bab43f70f1ff740a28bddf27aaf7839695df SHA256: 749b87526e0ed7776a27f1ddbe3c30fbdfc091d4303d9c05aff525240833f021 SHA512: 38a4f665abb98603598d884829b2ee6aa0bc27b9cd309064445377a6bc986247821e36aa907a61b9051333922bcc332d7909dc9f9d32252c4ed3af6b0de55de3 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.5.0-1) Maintainer: Adam Cecile Installed-Size: 218305 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.7), 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.5.0/python3-tensorflow-avx-sse42_1.5.0-1+Debian-buster-testing_amd64.deb Size: 34959348 MD5sum: 343b9272baa1740f85cbd6016f8d4fb3 SHA1: a76e6d474d35f0418784e7264827319f4ef07ab3 SHA256: ec708c5e8eadd91c03e3c85af180ea13a31ae38e4842530606d23786299434fa SHA512: 9cbe99bc2de46d52eddabdf5e571fa6195587026a28267b4dbc56a95c500150eb1dfbbea221dcdf23fdf99143408e911be211a2c6c22188ddc8c9be243e48a0e 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.5.0-1) Maintainer: Adam Cecile Installed-Size: 371295 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.7), 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.5.0/python3-tensorflow-avx2-sse42-fma-mkl-dnn_1.5.0-1+Debian-buster-testing_amd64.deb Size: 57018944 MD5sum: 6cee80ce592f0a151e704056d130bfce SHA1: a365c0c6bd8e2989acf4ec03243394e29b764274 SHA256: 42a1c540a2c5262d9831edae8332c8aa70a892bdfbd6347fc95130dfd373d112 SHA512: d8aa1e5b7d1ae71e0f3a37cb6a8472a6e48d99827c61b60a0719f437b6f1c89c0a9c2599dfd0c29d6a55291bbf25fdf8e67be0e138cd0ee3f31f654644d19bcf 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.5.0-1) Maintainer: Adam Cecile Installed-Size: 218358 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.7), 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.5.0/python3-tensorflow-avx2-sse42-fma_1.5.0-1+Debian-buster-testing_amd64.deb Size: 34981360 MD5sum: 813b5706bff0ac9e10f747155b507560 SHA1: 45c6312228d351808b421b8865a3a18408227a16 SHA256: d087f1c236b28b6ff240ddbe9f46276a9bf4d264924895e7f96dbcaa8994abf7 SHA512: bb6943423fd5aabc47b6050143868dad235ab02d30adac7142606012de9718069623bf0fbe33c97c26161d69ce74c746b201f15a6767464b32a7d41d6aacedae 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.5.0-1) Maintainer: Adam Cecile Installed-Size: 987187 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.7), 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.5.0/python3-tensorflow-cuda-avx-sse42_1.5.0-1+Debian-buster-testing_amd64.deb Size: 90895732 MD5sum: 14ed4ea2a6208e6f197bdea1b80fe157 SHA1: 900c675e423934173159e18fabe4d554beb6896d SHA256: 92017c2681df267994f34a9453c6b256ea4c28dc07a5084c6ed78cc6b551f346 SHA512: 43d3e5151debd1e3700f5bc7913a2d838fee13fd0d788cf37b810cc9743dbee3f385b380801b7288123605ec57534a42964dbb543ce1dcabc2b9aef722e902d3 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.5.0-1) Maintainer: Adam Cecile Installed-Size: 994645 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.7), 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.5.0/python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.5.0-1+Debian-buster-testing_amd64.deb Size: 92339192 MD5sum: 8ca140dafa9892aac62de282fc37370a SHA1: aff7cf35f7956f457a6db96c9904eb8666c358fa SHA256: 5a2a1ff0154db5bef80341c50b8a40828eccb7d1f3177fa6dadfebe6be522c3c SHA512: 24f36ef89e21df78a393add2235559354c63773b72c72c37080fbb09aadb1560cf8cd2ae33e94a6f0326be22d66dfef9b47ba6c77d7da86611f64b8bfbca3ea8 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-buster-testing Priority: optional Section: python Source: python-tensorflow-cuda (1.5.0-1) Maintainer: Adam Cecile Installed-Size: 987452 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.7), 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.5.0/python3-tensorflow-cuda-avx2-sse42-fma_1.5.0-1+Debian-buster-testing_amd64.deb Size: 91045720 MD5sum: 3c07bf7ab7f1c1cd8a596be767a9944c SHA1: 9c895e9c16b902242436fee2718e13c74c77cfb5 SHA256: b0dba8e2a565509f38b829e2c643352e2cc3ca4454f5abf17eb525f88c1a0da7 SHA512: c9b48e50484b129bd19ea6e9264fc12c90f6b4869eaa276cc0f3c9bebe396dc8ce762c0a919e5f4c4bed40a981bee35bb74706678f50d0546e33aa34f409c323 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-buster-testing 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-buster/python-tensorflow-cuda/1.5.0/tensorflow-tools_1.5.0-1+Debian-buster-testing_all.deb Size: 4464 MD5sum: a24f98fbb63e0d0c826887146dfcea85 SHA1: b8745afeeb79ba2d2d39c9c359c3d04016971a44 SHA256: 775ccb8614908c6146d80da185e7bb2d6e02a3e45392dcbc56ce30d9f5965a92 SHA512: 5c964caf65519d44fd3265b7028f29fd733d80f4b6fc10c19e7651dbaf0ab52b9b5941cb18513c61757ebb18ef525dcc044b5edbd8463ca99d9b27ebd4adbfd9 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.1-1) Maintainer: Adam Cecile Installed-Size: 218340 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.5.1/python-tensorflow-avx-sse42_1.5.1-1+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 34965354 MD5sum: d0b2e8cbcf22863e2f1ffcc40f23fb02 SHA1: 0cdf20d3eb3f698aa308d683920f0ce49354de95 SHA256: 07ea0473b86e7b8253bf554766c5ec37dd53a9cf3f7843e7cf43d15294cda127 SHA512: 0311680cc6036f680dbe6ccd07eec6c6cc07eecadebf40b683d0ca938a37faac551b1123f66df0a63e1e969fcf75e4922191b3dafd38cec9875878b3794f42fe 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.1-1) Maintainer: Adam Cecile Installed-Size: 371317 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.5.1/python-tensorflow-avx2-sse42-fma-mkl-dnn_1.5.1-1+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 57022942 MD5sum: 1936b4bbce50fd982f95b0e99b0ecef2 SHA1: 47ecece1b71043082c094dc8ca063ba2a2afdd73 SHA256: f5acf0e41bf383e87ca22181dcd28d2e76d8d3c10685c0fa3e0b314eced1903e SHA512: 94a426441953bda344cdab9c17a0bfb9f63dca2aac93537a6abc6cd7908d924187947a0336d14d261f239180d6fefaa97285a7fdd0044c6c2f77041c3d052f85 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.1-1) Maintainer: Adam Cecile Installed-Size: 218370 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.5.1/python-tensorflow-avx2-sse42-fma_1.5.1-1+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 34972866 MD5sum: da329626ddbcd9ed1545ea0f72a678f6 SHA1: 7876e15476c66ec03dbe5911b166c5dfe2cc69bd SHA256: ba1a5a51c79f57ec3d22a04f3630d81a41bf756695e03116e64b2ca91a063ad7 SHA512: f56daeb013c04fc4aeb469369fd3a76270fb0eb47ec78bbe64a4ff779fc7ab5b128cb5b740648bc6e611c1156c1fa94e8d149b7bd140e199add1c1dbf23cad42 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.1-1) Maintainer: Adam Cecile Installed-Size: 987210 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.5.1/python-tensorflow-cuda-avx-sse42_1.5.1-1+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 91013422 MD5sum: c37e28acc53b7728c123bb05f19770ed SHA1: 492b7ecee1bb868dde7d40bfefb45f716cbb0208 SHA256: 5381c4f472b51c8b328102da9cd865993baa5db2e43643e9dc97dcb2d4ae7653 SHA512: 8923872adb0c370b6aeca216c948a89a9cb678c942d80a10b28df108b357c728cba4bb675115d07ba7536b2968383af195b43c7c18d9afacad48760bd470e812 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.1-1) Maintainer: Adam Cecile Installed-Size: 994668 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.5.1/python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.5.1-1+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 92154810 MD5sum: 4103dbd0a5ba020f923045fcfcdfe21f SHA1: 68cd472a508e681ae79f04edd565db2d20db630c SHA256: 5b6210d11435dc671386e4583d926c3c681a8fc1affae273653a191e2b8aec95 SHA512: 7b5dbb877e8a9adbb3c0ce3c70d1c7df506fb796da4b317291f9f9bce16d1726c27b3277c325c2f6f3f09d5ff317e245bb7f9fb8a6719ea7a1d47c28d47c8bca 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.1-1) Maintainer: Adam Cecile Installed-Size: 987474 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.5.1/python-tensorflow-cuda-avx2-sse42-fma_1.5.1-1+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 91093314 MD5sum: cf472a0f3a0ac78de3f55ae4157a453e SHA1: 9b39b87c13b9b476f4952649f03579b4048140ce SHA256: 898b6a8419b22f233ddd215c79f6db13cac9664011f11048920748fe50ba0789 SHA512: 79ba172f6e5cdd019287db6ca9dd1d73177a73d6f67458a86f9ba6684a4be027a3c5dee4ae9f0b30d9e40503f05cc9ff4e6a5ac1163d9d57eb99605aa0002851 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.1-1) Maintainer: Adam Cecile Installed-Size: 218321 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.7), 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.5.1/python3-tensorflow-avx-sse42_1.5.1-1+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 34971538 MD5sum: 11a537972375ab952c5ffa31cfa9a9af SHA1: 5476c270a5f58b15bacb1ac5a310d0529441ff10 SHA256: 69a07f7f62d3c4e24c8461202ed62be8358b8d4506e07f5b6baf16783be5cd82 SHA512: 8ed5d2667f189af207fa6b22a9899d49dd2e25afaa5faf16eea0ee2843399035818378aa4f72cc3e1ee668ec9fdb27004740ac9e49cd3e7fc2cebb9e14f0b6ce 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.1-1) Maintainer: Adam Cecile Installed-Size: 371302 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.7), 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.5.1/python3-tensorflow-avx2-sse42-fma-mkl-dnn_1.5.1-1+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 57039570 MD5sum: a2304e38c3bb30d786708547f554728c SHA1: ed7a1b25ccf523a95d98a4d175c353494d3e651f SHA256: 0d61d7fa201b3ec80054380bf257a70e79ff3017554a44a32f60e5ebe2f53d10 SHA512: 4f910cc7fb3a67b19a9a32ed6c75b437c1cf89f72222b80162d0c048d015be5b112a852924d5059e488624d6457eed139f70921a80d098ef948115ce07c3f7e6 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.1-1) Maintainer: Adam Cecile Installed-Size: 218351 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.7), 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.5.1/python3-tensorflow-avx2-sse42-fma_1.5.1-1+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 34973326 MD5sum: 751560e72a0b1015c1cc0bf50f43fe93 SHA1: 35ee4d8e3ec062d91dd628b93681d93caf6d6052 SHA256: 13b992a214086dc2644e65d6e1202ef35372f271a95470cb6eeed7b9b53b67fb SHA512: e700a08135348eddb8a769237a16ee26439ba57db3145f6c03f91c835f9573bbc0008068e53bcc0d335f8bdd9e8268f0b1a2936793d4f4d7393c2e03cda07f2b 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.1-1) Maintainer: Adam Cecile Installed-Size: 987188 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.7), 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.5.1/python3-tensorflow-cuda-avx-sse42_1.5.1-1+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 90861782 MD5sum: 67160f639646e5abdf8e3c9c2d3a7476 SHA1: 4421ed0089c688b4025daf57f280b0d998d854da SHA256: 0210711855d551d633d2142a51c338e41f7583761d8f6e7077d08c15dc0aa6f9 SHA512: e57efff7dd317a169f1fa998bc3b3ad2d5918f1df844ecd3b8ba03a402325ff2b79154720adb50414018344b5896d5c2b6a1b272ace02a3768a63e6ac87e84cc 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.1-1) Maintainer: Adam Cecile Installed-Size: 994650 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.7), 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.5.1/python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.5.1-1+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 92289770 MD5sum: 30b8d8927b11a9f9def46489575e198a SHA1: 71a493b8052833114b5f3c4d81c1e02e9a0f570d SHA256: 0632bf97f0f2f8bc8308d5e788c03bfd2970f95c1066d103124f3029d5b7186b SHA512: af88c957a6c296a9cea68aa73e1e77c14251604cca45b4a74a6f4e57825132c50692ddfb118d5739627253601b00d905cb4b058d8f950534a54f01fbd4b74cb7 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.5.1-1) Maintainer: Adam Cecile Installed-Size: 987456 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.7), 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi2, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.5.1/python3-tensorflow-cuda-avx2-sse42-fma_1.5.1-1+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 91008126 MD5sum: 4e9cf383847f279ff46ea63115556eee SHA1: 00455a612784409fea4661241279a229de32c9d2 SHA256: 3fc367ce6f3c8c9bebd0df7c485ec0677958f31060d825bc17253e9605a9eceb SHA512: 247913ab1f907060e0490ef45f5deeeb3e55e63fdeb8c6108863fdb881d657cc6678a01a985d4cbc849b8c31ddfb193ca0f54c36cb84838eb369e94e5bec423b 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 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-buster/python-tensorflow-cuda/1.5.1/tensorflow-tools_1.5.1-1+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_all.deb Size: 5584 MD5sum: 59f7a248dc9e2cacb484cb3455f36119 SHA1: ed157abcc83ef8bc8a838d646d5648992f4b7b0e SHA256: 96241e55438e4fcc85fa9db2aefdb8af0121b9b87d6ec86efa9442879d40d479 SHA512: 0706aadbe00047072658e105f83ec10551a9e496f0fa373b20f85b62448ce4e5ff934a6a06d77acd81071205db2a5b47b1ba0cb49e83ad03fb9cdfaa4603d14c 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.6.0-4) Maintainer: Adam Cecile Installed-Size: 226142 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.6.0/python-tensorflow-avx-sse42_1.6.0-4+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 36086550 MD5sum: 5efedb297e76f50ccd3435a0d8fb59f0 SHA1: bb94a12f893b4d2388429e2564171f4749dffffe SHA256: 25d8c58ba1af6369f2a33cda837db4dd4d11552c4bf516ed360be44dfb67fced SHA512: 91cdcf06a3fb5b6c1996ac5ef6752c77bb35632a1a1e9ff7f752486ed9c1a3c282c6052f747ff49272195f603d6111a92639d8f3640113cc9a971a8163d9caec 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.6.0-4) Maintainer: Adam Cecile Installed-Size: 382958 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.6.0/python-tensorflow-avx2-sse42-fma-mkl-dnn_1.6.0-4+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 58432606 MD5sum: 983b9c35844831959e681a2404671daf SHA1: ba3029606f2445bbdd1e0062f770fd2846e5c762 SHA256: ec93cb39992a614a0bf9b6dbf27c9b3612595828cb7142552465b0659cd86d14 SHA512: 3b53246a351bc3d75df324d6601331251e1d84bb2b821bf23b2d82a5da9b5118d09a0588659347633a16a576adad44e57d30cefafb549866f8d6ffbb2df75c51 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.6.0-4) Maintainer: Adam Cecile Installed-Size: 226378 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.6.0/python-tensorflow-avx2-sse42-fma_1.6.0-4+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 36104406 MD5sum: 8e3a67ac02f99ad24bd93860f8a6b722 SHA1: 3abdc7ed04b85df951ee5aaa860700e2ca1314d2 SHA256: 8bdce89de55afa20b24edf56553d7dd7807da4984d24dcddf5d9d1fdac4fe7ec SHA512: 861267b359217e50bd355e5957c9e1e63a17bd174cf879923f5f96203061e47966d18105b0bdc6c6c9331b4f4811ddf5e38cbe5ce3f545fffb1520c78d54924f 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.6.0-4) Maintainer: Adam Cecile Installed-Size: 1041571 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi3, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Recommends: libnvinfer4 Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.6.0/python-tensorflow-cuda-avx-sse42_1.6.0-4+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 93015154 MD5sum: 070a592febd6ce6edf0ec814da52083f SHA1: 8f8ff21c532e51e436c5a67adf660d6c25a2c212 SHA256: 20c112840e862c47d759b12a5a0c9779db80f3ba76d4be4a398dfdd8a32020f2 SHA512: fd556a99e5cb5f436772d5e7e44b188f36a91148ac45a58bfa86b17122ab4ff28d359cbc936c1b7c855a865aeb55057c1e43f49c850417a1e00a889257d5ad2d 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.6.0-4) Maintainer: Adam Cecile Installed-Size: 1198703 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi3, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Recommends: libnvinfer4 Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.6.0/python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.6.0-4+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 116024726 MD5sum: 4d3b34b3401f362613a0b25b68106ecc SHA1: f7386f4cb7ac9ed5f8091bb61952fb3575908d83 SHA256: 92406b3699c0748153aad3951c67e518fbdeaf4046066453122b11551829dc88 SHA512: f301f71d7d5702986c7c9fe98122bb72bb7a815f1682716c352f3b2508113765da30085108b744806a9c1f1a6b0e9fe17bddf6c98ef730d7c98a4aaff21d145d 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.6.0-4) Maintainer: Adam Cecile Installed-Size: 1041818 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi3, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Recommends: libnvinfer4 Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.6.0/python-tensorflow-cuda-avx2-sse42-fma_1.6.0-4+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 92954786 MD5sum: 6ac249a263f1b0c5267f0d065106e2a6 SHA1: f3198423bbac125263c8fc6a3c654b22a7eb87ef SHA256: 646145bccc882977e22fd1ef9c05f122c51bb4658f6ad5ceb808d5dcf0ae12f7 SHA512: ab70828f6fa849e3d2119017ef01b1b81ab04ef4f0a410469b5d7a1ab94851aa38846b8ccb62fbf7f11abf05e1a0b703d98cc10b826f5e738ef0adaeb2b3ff98 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.6.0-4) Maintainer: Adam Cecile Installed-Size: 226126 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.8), 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.6.0/python3-tensorflow-avx-sse42_1.6.0-4+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 36078570 MD5sum: 22d0f908358594aa55b94f00c8b62a10 SHA1: 2e4f90e35264d8a6b06b28003859b15110a8f0fe SHA256: 7331887d6e10794ea73350fbca6a0b7397a859d1d4f459f3014f3fdded915ffc SHA512: 26be7cf10efa02cc66e538f667f332dc19f30f1381b71412cb3c62680cae4c1339126399f6ce893e2ea8b2bae3278da866a3214184d6d78347a3341c468a1642 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.6.0-4) Maintainer: Adam Cecile Installed-Size: 382942 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.8), 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.6.0/python3-tensorflow-avx2-sse42-fma-mkl-dnn_1.6.0-4+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 58428054 MD5sum: 77fbfb0bdc8e5ba39edfe05715f5eef4 SHA1: 2500ff6f3e04d7bc3fa6f58d8d14f84dc3d76da4 SHA256: f961d5d2387759a9eeaccaf2760dae6816d995785bee0c2ac70009e384015615 SHA512: 8349c769989d8f4e043db927636a48e0fc10cdb03a76d678607520f505b6caa6250ce4881d19dccec679c5f35bc62a9dab2aeeab9d603412a9e8a5e36e310005 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.6.0-4) Maintainer: Adam Cecile Installed-Size: 226358 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.8), 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.6.0/python3-tensorflow-avx2-sse42-fma_1.6.0-4+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 36103438 MD5sum: 50b16158f67763c1d3af1d84429387f9 SHA1: 28b61ea39d0338c3cd3f20da7f4103e58e5c5c9f SHA256: 2748a4dcab7c9871cdc0ff8986e56bbf0b8fcc31efe0220fd4e6d902c8e23dda SHA512: 9eea0d7bd9fe71748496b86c7a48d5e3c82f1e7dbd212559cc9497ab666797d672663c4d8184be424deb57a1383eb7a063af12cd247c6f10cb15491c5a00c546 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.6.0-4) Maintainer: Adam Cecile Installed-Size: 1041556 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.8), 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi3, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Recommends: libnvinfer4 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.6.0/python3-tensorflow-cuda-avx-sse42_1.6.0-4+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 93030934 MD5sum: 22393aca458f0316ce828afe45dc3370 SHA1: cedea6d1e753cc5eac9f0acca1d370fbd0abf291 SHA256: 8a970ff22bc06d5ec8f0417c2bca5a3b3d1ca06fcae67d87da08ac7670685d20 SHA512: 829267542105c7dfb66b87c7f724bcc0c6a301302104ad0d2c54e731cd70ac0c3d9f353101907b5e95a4c3e7ee73ecbc50042196f635577e986c65ba129b0906 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.6.0-4) Maintainer: Adam Cecile Installed-Size: 1198684 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.8), 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi3, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Recommends: libnvinfer4 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.6.0/python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.6.0-4+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 115993798 MD5sum: 17f9658cae116b31a5ad42f8eef5e173 SHA1: fb2207ebb9fcb9fbd4b0fac96a44975845062716 SHA256: 17abcc96c3775bbdfb3488dd60281212e242d9258f530113cac090800c06fca6 SHA512: 68db1263da36b51a6ef70bf239651e97c1ab187d76a2001c0fe2f7abc579b9449875e6b672b34f9d2ee287141532146a55b7a42b1fcf8807b420d07c9956ca1c 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.6.0-4) Maintainer: Adam Cecile Installed-Size: 1041799 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.8), 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libopenmpi3, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Recommends: libnvinfer4 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.6.0/python3-tensorflow-cuda-avx2-sse42-fma_1.6.0-4+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 92957474 MD5sum: 74c308ca93d717b3167a4bca18cf675e SHA1: ad1af243f54b7d1eab36682f89b6949db687c057 SHA256: 448c95d3af91034e8ee5d1332636c3221bde0c7cd085e81817ebb8a8c76337e9 SHA512: e949e658293052d2511f494731e5f0e89e957c135f8be5e1db02a9d2420ef937f6837bdff340819fef8a9e8914a0f643bba4acbed68e081729280d0fad20f802 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 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-buster/python-tensorflow-cuda/1.6.0/tensorflow-tools_1.6.0-4+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_all.deb Size: 6092 MD5sum: e834e8c14ad22445ace1fe963f5a9b58 SHA1: 81e490dcce839b6041e0dfa9abe2c9466b3dea05 SHA256: a412460c8bdbfb27d4c5019638ef3cbf01c93473422e37c4a958275fc21bdc1d SHA512: cefd8b43259ab6e037f9314f8b4024e4ac42de13bb0db50e7ede8027523dc5f01671dcce62fc2369c39bf943e56e050e78f1c95deeb5a6ab08a09195f82a25b2 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.7.1-3) Maintainer: Adam Cecile Installed-Size: 187794 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.14.3), 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.7.1/python-tensorflow-avx-sse42_1.7.1-3+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 34914738 MD5sum: e13db73ff891ad30b0c3199bf91c1281 SHA1: d563671c444d7ed5552aed9adbb702a8dbf43061 SHA256: 53bbc0c9f5a06b279317ddd0fc28ab2e6910b52731c502c5b175bcf40bedd3db SHA512: 3497035bf70aa064b61d7c6118e5a433597a0e73d99d5ad102d70f23dd5147bae05880dcf242b89afc788ed39f1800ce15f485779ff3f6bfc360c4ad1d2718bd 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.7.1-3) Maintainer: Adam Cecile Installed-Size: 196657 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.14.3), 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.7.1/python-tensorflow-avx2-sse42-fma-mkl-dnn_1.7.1-3+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 36630298 MD5sum: 54e3ad96170805a8eb83947b95344d48 SHA1: aaf7ca619c2057d6dff6d8a3a426114c397531a4 SHA256: 5a14eac77d123977587dd5576dbc24573e1d1edd2b6205a4b0f43e6258f68d26 SHA512: 4612d1ea5ac6f3140629f3080172f647d8bd057b61dcc33c65a589f81328469fdedc5c2a33a3a3858426688e59b66f065fac00142ee4a3cdeaf4e1b9674dc584 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.7.1-3) Maintainer: Adam Cecile Installed-Size: 187942 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.14.3), 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.7.1/python-tensorflow-avx2-sse42-fma_1.7.1-3+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 34958358 MD5sum: abb7501cad3168a8cc263e0e9b9aecef SHA1: 169b6594dc2f04b0eb092062752ab0710e88cd1e SHA256: fbdfa984296adaf0ad72a1d54538085a56083d4aa275a38ecd3c302413fa8927 SHA512: 5cbaeca4dce3eb1f7d935d8e2c9ffd2e773cc9ca5212789e455e0769d1820be9ed4ce091a0a63e34af47968ad3f6ec120096222d7b1421cab23658a49cb150a4 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.7.1-3) Maintainer: Adam Cecile Installed-Size: 997972 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.14.3), 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi3, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.7.1/python-tensorflow-cuda-avx-sse42_1.7.1-3+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 91075618 MD5sum: 6028c26443aa30e139c6cd4989d73432 SHA1: e6b63ada1aa9b0534f8a8bc66a4ca3d18fc1de8e SHA256: 33b2aeecca3c4500c84ab206b3897d986547253797b3e16d372ff596d2d83e71 SHA512: 5e992bc49641a70504a727bf091f11d0367a66ce0f9adc14dbb6d5299da4152cb94725cf781eb8de573ab3396d158b0387c58facb092973304aa95648dffa95a 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.7.1-3) Maintainer: Adam Cecile Installed-Size: 1007255 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.14.3), 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi3, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.7.1/python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.7.1-3+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 93154174 MD5sum: 52b32c3d2fbe6191ed027f3152854e13 SHA1: 19cb03179fea69a0d92be487f8732d30d6e78f68 SHA256: e13d52148c238d72fb155513f849358ea2e1446a60c69147f947c0a7d9eb3372 SHA512: 5171122c4ebc040f463d9661d8b6287d53fa203bf4bae158b31672642d2c2cea556830c2c0f1f0aed31b5f58d85b61e1df1e0c6505d06e71e769fde6ce2987f2 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.7.1-3) Maintainer: Adam Cecile Installed-Size: 998204 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.14.3), 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi3, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.7.1/python-tensorflow-cuda-avx2-sse42-fma_1.7.1-3+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 90886694 MD5sum: 26cd7bb2bca7a4dcd114b25783899140 SHA1: 4ad59b80093e962bdbd75785a5529584c41ebb2b SHA256: df5e1b237ac37c8010a861b9c761c090994c7b1410e53476067b33b29506bc4c SHA512: 6ec18e685df95f0f8e734f8e8c1498c76b4ee4aa6ec2154afc80d6077ed4a9a96191107848bf3a232b77facf9d974a78124e87d1808eb1879a064b2f56f48c77 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.7.1-3) Maintainer: Adam Cecile Installed-Size: 187785 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.8), python3-numpy (>= 1:1.14.3), 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.7.1/python3-tensorflow-avx-sse42_1.7.1-3+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 34895246 MD5sum: daae03a8d384e0bc9e1ce891a7343eeb SHA1: 84baaf9723db288a74724e95c56c03f39b190196 SHA256: 0a1a400f6656d9ea56c5f23449063a22bb38e1936f00fae5389cc2c2b4d56346 SHA512: ceb7cc9cb46667182b8090e7e165ab3d65560a0db573bc06b2c48ca6a162cd9b71852a9f3af4a83da97e4151b9cccc6e3cfc38d5ffd814ae04f40a72ef73901d 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.7.1-3) Maintainer: Adam Cecile Installed-Size: 196648 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.8), python3-numpy (>= 1:1.14.3), 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.7.1/python3-tensorflow-avx2-sse42-fma-mkl-dnn_1.7.1-3+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 36628022 MD5sum: a1abce616739bb2632fcb6fed71a37e1 SHA1: c559dcd9da95972458917b0d3ac3aca70eb48074 SHA256: d31f2d8501b321dcadd6b53c3f75d4e55cc782917fcfe77e1cd30aee2291c964 SHA512: 05d2b0d6a7d048c868c47a14896a66450efcb786ec876b6fdda88d481bd5c9d8d34fa23040c217d13c4397739b4e36753587bc8a67884b92d5dcfb2d2b828265 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.7.1-3) Maintainer: Adam Cecile Installed-Size: 187933 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.8), python3-numpy (>= 1:1.14.3), 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.7.1/python3-tensorflow-avx2-sse42-fma_1.7.1-3+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 34964094 MD5sum: a0adeec2ccc82a6f23f40dfcfd9b7803 SHA1: 3c829771b47a0033dc4510849d1a272728982d54 SHA256: c7996b39d7e8398476391c606430fec76f456741713f15154f42c43e95b17b05 SHA512: 0b5f85bb9a7aff82cc716e28f844da414962810f2beb9c1b186cd8b072f0525382e678731534769b5e902c3f6db7fc6dbab6ac62c20df34915b197b8efeac9c5 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.7.1-3) Maintainer: Adam Cecile Installed-Size: 997957 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.8), python3-numpy (>= 1:1.14.3), 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi3, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.7.1/python3-tensorflow-cuda-avx-sse42_1.7.1-3+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 91197550 MD5sum: 786e8d329588ee7ff5857cae43e2a448 SHA1: ff64d5fa6c4e06fb2de12c03b2fe5814ca820be3 SHA256: 891b325cf06cdadad6caf177753be324df5f00fc2df8c6304aefd3bbcce67a05 SHA512: 9b32507968eae62733a64e002d2aafec7186ac979d0f6f092b5724b3eb0f6aca403aae1e54dd01553076567288ba0ddf500a5cdd5724744969fdb2566f63e56d 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.7.1-3) Maintainer: Adam Cecile Installed-Size: 1007232 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.8), python3-numpy (>= 1:1.14.3), 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi3, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.7.1/python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.7.1-3+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 93078082 MD5sum: 47bae879817737f0d91e7a07ad51a5a4 SHA1: 165f06b87104087850f09dbc1b5043c9e034bbc8 SHA256: d8d8061296747e9accc633fbe932eb8794b87b2e3d5584eb7722d3b6ad5e1a0f SHA512: 67864a80f1a80c4ab34127d95fcc96f256fff87b194e675bd081f05d5d8bf2971c99efd0ada8d608a1ef75d9f64809462235c2d7c02d0bea114028958cdf697d 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.7.1-3) Maintainer: Adam Cecile Installed-Size: 998177 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.8), python3-numpy (>= 1:1.14.3), 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi3, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.7.1/python3-tensorflow-cuda-avx2-sse42-fma_1.7.1-3+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 91051702 MD5sum: 13b0bfb869148dade24be8574f36e2dc SHA1: 4e6910de0a2f73f7345079df442a462438d66aff SHA256: 152132b9bdedc4782dbfa84905507ad5a8d6de2cb67f5e6ed78fd9c710931370 SHA512: 9158c1392fa5a3b8b821c0ab92b36169ecdc577a1ca3895f88ffcdd4dcc775de745f08c81cf47ab4a1fadbbff11fbea19c165e456ea7af4e24cf350ae5d8431a 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.7.1-3) Maintainer: Adam Cecile Installed-Size: 16 Depends: python3.6:any, python3:any (>= 3.4~), python3-tensorflow (>= 1.7.1-3), python3-tensorflow (<< 1.7.1.0~) Filename: pool-buster/python-tensorflow-cuda/1.7.1/tensorflow-tools_1.7.1-3+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_all.deb Size: 6340 MD5sum: cd7bf06e11099be5878896f8a77b4a72 SHA1: 2886aa74dec05196bffbda3a988c4d1dda6d08e7 SHA256: 49ed4a462e112b6489d5191759777d98387a0f6869bf4a0f7e0d4ce9d0e26319 SHA512: 2f5da027f7c8fc909b8d3680e49986e8ca0ce683afde83b7b99701e97c528ef5e9c319f657e60faa3b8a7eaf17cfd626fb60cf2cbbf193c0e4f20154036d05bf 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.8.0-2) Maintainer: Adam Cecile Installed-Size: 195365 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.14.3), 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.8.0/python-tensorflow-avx-sse42_1.8.0-2+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 35574110 MD5sum: 08b1112bf3a3a41d83575a57b0833f2d SHA1: abd873dae30de94e2d845cf5a499e67a60fb0f34 SHA256: 6e6f6649e2ea3ea784e0709b6f2e0d52dca33d1ea6c05dab6e020d8bb4eed8b1 SHA512: 991cf89bfb6032d97c7fa8715b6e83f0fee61b1cd339f4ef21e3b98351bb6911651bb30c69c6c016ab6d144396726894fb7274bbdd009c7a106aec4d6988660e 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.8.0-2) Maintainer: Adam Cecile Installed-Size: 204228 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.14.3), 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.8.0/python-tensorflow-avx2-sse42-fma-mkl-dnn_1.8.0-2+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 37350078 MD5sum: 78ae6b33200545e4d3584a62fcd6eba4 SHA1: 540d46a1f9d8e77a0120db818b3f1470c729dae9 SHA256: 2a5a8a621582e6e18d8db5a2d353d76950d281b90ae8e1ad7796a1bb3d80dfae SHA512: 3491568ee017407a5d860038e78f7e725523ac29b2880a2812ca55c31341189b8f3a593b68ea237f9fd8d9e1ed973d177446586b525d3162b3fce26fdb03a43c 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.8.0-2) Maintainer: Adam Cecile Installed-Size: 195537 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.14.3), 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.8.0/python-tensorflow-avx2-sse42-fma_1.8.0-2+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 35663738 MD5sum: b79f56e73d9f8bfcb2f56c8cc7c3adfc SHA1: a82301c12ae512963e63b630fc12c3b822c93d9f SHA256: d0dc73411dc6a70b6745e537096020bda0bfd73cb98f85029f7fad30805edbae SHA512: d6d7d1e2ff1a56595e4bb51368b1e00358d663d6ae83cef6d591f2371e13f7e3a077660cfd5ba9f3d22379d50ad207a1dde80763169131fdf8e96f2b9ab62262 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.8.0-2) Maintainer: Adam Cecile Installed-Size: 1018991 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.14.3), 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi3, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.8.0/python-tensorflow-cuda-avx-sse42_1.8.0-2+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 91566078 MD5sum: 342fbeaa5bf46de1496d185119092260 SHA1: 980623e52448c3b248b9dc36755feef3e882b04d SHA256: 315d61cb05fe84d92ca611d301933dbd74e6fbf4ec094d2ef737a44f22c8069f SHA512: 528b891d1f7c8180f29ddb7c77099e5bbd3b8476a543e389810bdd9c22739d7a54e1045a238c7dd3a0fd222fab30b6be5e396fc95240e7575c7c2e9db980dad2 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.8.0-2) Maintainer: Adam Cecile Installed-Size: 1028322 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.14.3), 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi3, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.8.0/python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.8.0-2+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 95577462 MD5sum: 8f5a60bdc5b8dd238dfd04b5123b7bcf SHA1: 07e6f115417075617bc5ff1f2b40152d3c254561 SHA256: 1094b79d009591760c4bc6018c815518f25b902f401fe286f3dc0f10a3aee485 SHA512: 6b7e957c866595ef5d0bb8309439786b45229d48c5955e09468167a3ae9f5d25d9b886c2a202af658aa2d71520061ea87a26e2ea04321deb16d29ba82e28880d 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.8.0-2) Maintainer: Adam Cecile Installed-Size: 1019251 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.14.3), 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi3, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.8.0/python-tensorflow-cuda-avx2-sse42-fma_1.8.0-2+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 91670534 MD5sum: 3c34e91f5fdfe84196bc5b2a06a7c446 SHA1: d4153becae7b2d981d4ccbebfdd1539839a0cd4b SHA256: 9c57ba9eca0725717d47114db2804e7fde49decb692e81f83d426024e84e27e4 SHA512: 9d5324a565059f3e2a167226cbcae2ad157ddf373b38c53baae2288b36eaa6af5920130d412b520a8a0244a482b39a80ed6523a1d1554319ad7de23cdf153fa1 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.8.0-2) Maintainer: Adam Cecile Installed-Size: 195349 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.8), python3-numpy (>= 1:1.14.3), 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.8.0/python3-tensorflow-avx-sse42_1.8.0-2+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 35593806 MD5sum: 19b9f9508690857cf7a71f273cb1245c SHA1: 121efbd11987d54714d75e640ffb3ad4f73e7151 SHA256: d148c76601012ef9262273d79d9601697a6674e0932281dc51b7843839f5b93f SHA512: 9528612d7efd0f3f3371c6f9a46277708ed6ccb9d3bab4cd56d3b9b256f93733adc3590fa7d97ffd4c9c9deba5f9016fabfb520b4f44f64fcf8928e34ed94f4b 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.8.0-2) Maintainer: Adam Cecile Installed-Size: 204216 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.8), python3-numpy (>= 1:1.14.3), 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.8.0/python3-tensorflow-avx2-sse42-fma-mkl-dnn_1.8.0-2+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 37330490 MD5sum: 2d456bb8c34bb07117a1a8bda0592cf6 SHA1: eebe066f64582f538e8ab85f935bd7d8829f9ba6 SHA256: 05b5d35b12b44108c3ce8dbf80a66b3ba7d5119e0eefcab4520a553d7ac6221f SHA512: 0d2a59cfd7ccb4c58f5e83672f3c349e6c7520d05107ad2c224ee3b9029698cb29275d179e0a73d4ecfca8e4680f75fe746114fe6352bb9824d4cb884abbbb39 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.8.0-2) Maintainer: Adam Cecile Installed-Size: 195525 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.8), python3-numpy (>= 1:1.14.3), 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 (>= 2.27), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.8.0/python3-tensorflow-avx2-sse42-fma_1.8.0-2+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 35619410 MD5sum: eac3276c015c0ce0df01703e2e902772 SHA1: b6b8b38fcc48f6203ec506403ad88655dfc74917 SHA256: 46557161c1ec679d773f7da1a3d13125f7576dc58d917e2945354df229fca10c SHA512: f9ac85d86de8acdd922467b9003eb596cfd8e329ded78d7632d991c364f613935480f245e27e68c7fa7d7113c92b98f4a64fc82548a65ea7d67b85aecae158ce 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.8.0-2) Maintainer: Adam Cecile Installed-Size: 1018973 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.8), python3-numpy (>= 1:1.14.3), 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi3, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.8.0/python3-tensorflow-cuda-avx-sse42_1.8.0-2+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 91488722 MD5sum: d4f19ec669dfaa281a726c91c01d2689 SHA1: 7995837bd4162c633a59bacbf457dabab4a9c5c9 SHA256: 2ed39cc60493ee295a4576b12f750224105c1aba9e3051916bfa6e0c4e88f4cb SHA512: 8b84c8d0b48aaba309143b2c5d954080ca2174b726482c7d91b16fdd481a5f75c910ba4d9427c4fea4fa983930752cac30d25a583bf4c8ab4bc60f6c289cc1f4 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.8.0-2) Maintainer: Adam Cecile Installed-Size: 1028300 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.8), python3-numpy (>= 1:1.14.3), 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi3, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.8.0/python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.8.0-2+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 95506030 MD5sum: ff64ebcc5b034ab8dca100051c19bed9 SHA1: 6f2e2d2049b4468edbc0cd999a7bca1510b58593 SHA256: 2d8b3660ca2ab1a2b0d3896ecc4588aea69614c184a1e2cbb8be236ea0676c07 SHA512: bdc8bfe32db8fafb5c247cbc18ea2531b1f33ffbd43b83c8ae35d0bc8f8c8c2efc3015fe49d6130f0c6c069194f2a9125ea65984e7e6f6c516cd67e7dd054012 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.8.0-2) Maintainer: Adam Cecile Installed-Size: 1019229 Provides: python3-tensorflow Depends: python3 (>= 3.6~), python3 (<< 3.8), python3-numpy (>= 1:1.14.3), 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 (>= 2.27), libcublas9.1, libcuda1 (>= 346), libcudart9.1, libcudnn7 (= 7.1.1.5-1+cuda9.1), libcufft9.1, libcurand9.1, libcusolver9.1, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi3, librdmacm1 (>= 1.0.15), libstdc++6 (>= 6) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.8.0/python3-tensorflow-cuda-avx2-sse42-fma_1.8.0-2+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 91623486 MD5sum: d928450651a59df467a81ebc56547023 SHA1: e53e0753083baf7cc558527ba8fc5bad50386230 SHA256: 95a37e328d4486d6911bd05931a2f219c225ec01c20358f56c369ae72982d25d SHA512: 083880347187999ab0ab0e4f360eb3c304886cefc1e28a02470ae7f39f39f4b2102fc65a8f4d4bcc183496ca02c5f3c39853e54d13819b8ca7cb9017e6aa2d7b 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.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.8.0-2) Maintainer: Adam Cecile Installed-Size: 16 Depends: python3.6:any, python3:any (>= 3.4~), python3-tensorflow (>= 1.8.0-2), python3-tensorflow (<< 1.8.0.0~) Filename: pool-buster/python-tensorflow-cuda/1.8.0/tensorflow-tools_1.8.0-2+Debian.buster.testing+Cuda.9.1.Levels.30.35.37.50.52.53.60.61.70_all.deb Size: 6376 MD5sum: 8c1bbe8e1e4aa926e9f258b9bc933864 SHA1: 49c39bd5cd5093e39cd6cc92b509a627c1c7c436 SHA256: 3529c371cd60719a1e5e441aa71e378fccf97e37b2a6550e896c3262446f227d SHA512: 606a74cb1116d9c18ae0bec2e1c3c6b4d250b18b231271000d9b09a70a6fbb3b745b7b3b76258653b77f12bdb21d470936f8166015ee8778da01bce26013d86f 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.9.0-1) Maintainer: Adam Cecile Installed-Size: 225142 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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 (>= 2.28), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.9.0/python-tensorflow-avx-sse42_1.9.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 40221998 MD5sum: 63c44c49d15052f3657c8a1f565357cb SHA1: b09b71947051285aeeeda07adcd7d4dcd96dafbb SHA256: a05fa29962841bcb080933290f5c503941f022bab1c8019a51697ca9de719aa7 SHA512: 35b588aee4674ce76e7d3b080b9c1c7881315ef08760b837f6bb5c1c90438e458a3336687071ee1a9e51058a705f3668f3c532b37ebac06e2d36e49ea0156764 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.9.0-1) Maintainer: Adam Cecile Installed-Size: 240358 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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 (>= 2.28), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.9.0/python-tensorflow-avx2-sse42-fma-mkl-dnn_1.9.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 42479518 MD5sum: 73f889c7f86069f09bed549fef90bc81 SHA1: 160828746340dacb71d1157c967fdcaec07e4a2f SHA256: 5364ee4f337e0a14b79ab562e23859779b276408a284ef51bc110d6116affa1c SHA512: 177548a8473bab880716d2f6c26cd42bb0107f97034f85c008db2b4358820a64a00a248a335a10ab0881a8124db804a40f77136667d86486a212c1ea51f2c17d 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.9.0-1) Maintainer: Adam Cecile Installed-Size: 225286 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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 (>= 2.28), libgcc1 (>= 1:3.3), libibverbs1 (>= 1.1.6), librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.9.0/python-tensorflow-avx2-sse42-fma_1.9.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 40192970 MD5sum: 6850a92c5a83a40dde9c4a8558061efa SHA1: caa389433ebe2ecbf0628e76aff50dfd3a12474e SHA256: d90f82a8d3fe633dd3f491cbbaad0b54ec55c8aa116a27711295958c0b07ac4c SHA512: a8d2bb034f2e67a16a675a4540bfe27676f33556796128ba5528b5e4daea4a3f000e13ca41a810273f417cded5ba6d35a2c04f5731432187f8017c3e1356b0ad 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.9.0-1) Maintainer: Adam Cecile Installed-Size: 1089309 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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 (>= 2.28), libcublas9.2, libcuda1 (>= 346), libcudart9.2, libcudnn7 (= 7.4.2.24-1+cuda9.2), libcufft9.2, libcurand9.2, libcusolver9.2, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi3, librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.9.0/python-tensorflow-cuda-avx-sse42_1.9.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 102441788 MD5sum: 3c706ee44546e76eeeab316e734784e0 SHA1: 0794a8564455cb98e54bff80708332940fc5f6bc SHA256: 3fc6cb8f3224ef53fa0ba91d56ec8df34fefb5ad59f0c4736d6e859c80b7e09c SHA512: c46c98159626daf592ccf5422ad2680c886460f7fdfd50b6da158fd772eaf6a8c8ce45b2df4909b8c63aac9af54943e262fafb2d84410d50bed611a53af63837 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.9.0-1) Maintainer: Adam Cecile Installed-Size: 1104685 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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 (>= 2.28), libcublas9.2, libcuda1 (>= 346), libcudart9.2, libcudnn7 (= 7.4.2.24-1+cuda9.2), libcufft9.2, libcurand9.2, libcusolver9.2, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi3, librdmacm1 (>= 1.0.15), libstdc++6 (>= 7), libmkldnn0-nonfree-mkl Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.9.0/python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.9.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 103266720 MD5sum: b5ab81b5cffc3581848cd06d8f7f5fb0 SHA1: 22ea348707a8c9ae8ac2ea38a3c286822b2515a9 SHA256: ffd887c744baf02427661aaa9e9911bc84d9d14e5868f119a0ba6519b50a51f6 SHA512: 3553cb102485e4cadb569dd90cb41d60825005e3596ecdbb69918038808fdf1f664619d49cb40060cc93265c6152803d14c79aaa979cf4716a205a8c8152699c 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.9.0-1) Maintainer: Adam Cecile Installed-Size: 1089433 Provides: python-tensorflow Depends: python (>= 2.7~), python (<< 2.8), python-numpy (>= 1:1.16.0~rc1), 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 (>= 2.28), libcublas9.2, libcuda1 (>= 346), libcudart9.2, libcudnn7 (= 7.4.2.24-1+cuda9.2), libcufft9.2, libcurand9.2, libcusolver9.2, libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libibverbs1 (>= 1.1.6), libnvinfer4, libopenmpi3, librdmacm1 (>= 1.0.15), libstdc++6 (>= 7) Conflicts: python-tensorflow Replaces: python-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.9.0/python-tensorflow-cuda-avx2-sse42-fma_1.9.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 102519068 MD5sum: bf919341d2cb02aecee135e36be86120 SHA1: 3c6df582a76ef8afea6ba722454b30cedc1adaa9 SHA256: eade0a71e256595ed0c3412f0c94ca634679ed9de570fcc511d4d8bec146c8d1 SHA512: 86f2641b26e7c37615ab968248c483e799380f078e20543c4fbaa6dc37cbbbdd8f58eea1e00d412f597ffa562506c4d1c19d06d95f2adb2e81e66e167353e7f3 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.9.0-1) Maintainer: Adam Cecile Installed-Size: 11 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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~) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.9.0/python3-tensorflow-avx-sse42_1.9.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6216 MD5sum: 971c2f20d3ee10ade9c22c21a586a150 SHA1: 09b1b371cf7a185b40f68113dab835f3b2606fb3 SHA256: 939a709e3fbbbaa90a19c5c69aeb47afb0d4737eb0978b20e5ad7bcf8ff30f99 SHA512: 5ca0ca90c2f06694f148ffab282fe246b665c5ef7b6b0964a82636c60540a8c556f2a9a23f78a598f31e71338ece2be1c22ce6ca7d0caad95ae8fe8f00c2715b 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.9.0-1) Maintainer: Adam Cecile Installed-Size: 11 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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~), libmkldnn0-nonfree-mkl Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.9.0/python3-tensorflow-avx2-sse42-fma-mkl-dnn_1.9.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6288 MD5sum: eb10be7c884a409c485649193197180d SHA1: 19f2fdea7851ff06c7ace30d101cad4429b13949 SHA256: 2c2ff184969121d12fd4f90134df74fa9cb88b360749a4f8f7e5608d9c312a3e SHA512: 4ebb80788fdc14c88f5259bf5c284b49dfc345eca8dca534f6d65bf9e2b27cabca20177577ee19860902fdd2ee0e913bfba26360a6c874989c6587336d76a76c 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.9.0-1) Maintainer: Adam Cecile Installed-Size: 11 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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~) Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.9.0/python3-tensorflow-avx2-sse42-fma_1.9.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6228 MD5sum: cca035e440b61b6072dbe7f78c98483d SHA1: c97d3855a18fff1a415f81d44e036152d1f14e19 SHA256: 447f50175f619b77b6131e3fe757706bccce8b9e27be8af2738945b03eaeed53 SHA512: 14b4273895f0410d420308b6faa1664581d44cdb7f4b25bb3b1b72e72cfcf8b8ca044f09ba3f687685339066547b65b448493233c481924cce6c33f9264354ae 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.9.0-1) Maintainer: Adam Cecile Installed-Size: 11 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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~), libcudnn7 (= 7.4.2.24-1+cuda9.2) Recommends: libnvinfer4 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.9.0/python3-tensorflow-cuda-avx-sse42_1.9.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6276 MD5sum: e9c7b3f63c335f04203d0aadda35c3b8 SHA1: e4aba63e1016df466a02684df8e011a7610b32d1 SHA256: 97b322a4e045dc6bf4b55c7b826a6a655eb9545bf704db6c2c035259f99a1b3f SHA512: 9b6eba2cc2139098ac9c231175f18c216973d67276278f4cd810d79456646f503786b26f33ecc35a2d4cf69b85019072559abfcc803ecf6b5a0d61d8c03f68da 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.9.0-1) Maintainer: Adam Cecile Installed-Size: 11 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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~), libcudnn7 (= 7.4.2.24-1+cuda9.2), libmkldnn0-nonfree-mkl Recommends: libnvinfer4 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.9.0/python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn_1.9.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6344 MD5sum: dfb929e547d322162ab8d06c2a493a51 SHA1: 81344962c2a9eb2ed65c34a293ff0bf823b9cd15 SHA256: 5ad8a4ca49409ea5970a47a6359dc0daa1906f7f6bd84ff40299aef1d76ea949 SHA512: 5dbb7f37b86d67a63664eccc2c8fd0d958afc88da690fe36a55f8ab4757a8d41074a923d52ff151cdd09439b201ac8190bab91f48512ee8c561f7988b3191d94 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.9.0-1) Maintainer: Adam Cecile Installed-Size: 11 Provides: python3-tensorflow Depends: python3 (>= 3.7~), python3 (<< 3.8), python3-numpy (>= 1:1.16.0~rc1), 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~), libcudnn7 (= 7.4.2.24-1+cuda9.2) Recommends: libnvinfer4 Conflicts: python3-tensorflow Replaces: python3-tensorflow Filename: pool-buster/python-tensorflow-cuda/1.9.0/python3-tensorflow-cuda-avx2-sse42-fma_1.9.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 6288 MD5sum: 4791b7f0c451ec3400cf3e3e72c2a80c SHA1: df8f1897f667801b3c8143bac8e45e845241b92b SHA256: e0d9743404f61794b70fe55e833541e828ec5beae331d5d469b08ae58b383dc4 SHA512: 0d7c528edc1536f2d312cf2f41eb7f48d425e1292860ce6f1b235485f52fc4a1e7069c1826274e7ee0038b771a85767c340bd7bab4d32bf0d830f728074bfcde 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.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: python-tensorflow-cuda (1.9.0-1) Maintainer: Adam Cecile Installed-Size: 11 Depends: python3-tensorflow (>= 1.9.0-1), python3-tensorflow (<< 1.9.0.0~) Filename: pool-buster/python-tensorflow-cuda/1.9.0/tensorflow-tools_1.9.0-1+Debian.buster.testing+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_all.deb Size: 6072 MD5sum: c33614a1219f3ad5b6c09719b52e1c74 SHA1: 536ab0f140bf49173b021c5baff9530edf111a66 SHA256: 6fedea9a5fff1c27448a855b0f06e3186d1428cb9bc0d877a0f370b119000b95 SHA512: 21d00d16237b79f892ea0cb99f7361e257ad9392dbd84d0029de9240b52509957e1d0bd1e6fb65ac949f6f5cbff9a300c9e84a60b0e23ded755a175c5bf38ba2 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-estimator Architecture: all Version: 1.13.0-1+Debian.buster.testing Priority: optional Section: python Source: tensorflow-estimator (1.13.0-1) Maintainer: Adam Cecile Installed-Size: 1610 Depends: python-numpy (>= 1:1.16.0~rc1), python-numpy-abi9, python-absl (>= 0.1.6~), python-six (>= 1.10.0~), python:any (<< 2.8), python:any (>= 2.7~) Filename: pool-buster/python-tensorflow-estimator/1.13.0/python-tensorflow-estimator_1.13.0-1+Debian.buster.testing_all.deb Size: 176954 MD5sum: d5bf77a93e0fbc356b884f578c25f180 SHA1: 206d03c46b49b53a760fa970d5660cfd0c1b66e6 SHA256: ad34e12403efc997bfa3c74c8eff8d8decffda59bf967cbcbb8aa2e1d0d1c5a9 SHA512: 588d36419ae65415736575dce5d3cc1f4022cd8f4ddee49fa990099d81093662b74a30c2e3dcf14859ec5ac5d17767f56bbce22a4b248b90135e5010e2e9a2e2 Homepage: https://github.com/tensorflow/estimator Description: High-level TensorFlow API simplifying ML programming (Python 2) TensorFlow Estimator is a high-level TensorFlow API that greatly simplifies machine learning programming. . Estimators encapsulate training, evaluation, prediction, and exporting for your model. . This package installs the library for Python 2. Package: python3-tensorflow-estimator Architecture: all Version: 1.13.0-1+Debian.buster.testing Priority: optional Section: python Source: tensorflow-estimator (1.13.0-1) Maintainer: Adam Cecile Installed-Size: 1610 Depends: python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3-absl (>= 0.1.6~), python3-six (>= 1.10.0~), python3:any (>= 3.4~) Filename: pool-buster/python-tensorflow-estimator/1.13.0/python3-tensorflow-estimator_1.13.0-1+Debian.buster.testing_all.deb Size: 176894 MD5sum: b5b1e150e537328933ea08687227d25b SHA1: 74eda8760d9a993ae9a4c563a5d86f81803598da SHA256: 158a99a9001737fa977e6d6e9caf0da4163cd2cfe4bcaf7b0a48477dba52b714 SHA512: f76938139c8b3b9cec0929045b120f3c5992affeffbcfebba72c5c0afdc5021e9ecaf88ace6c9979fbc177990103f4cafbbdf28e2678163990aca2ced61e25c6 Homepage: https://github.com/tensorflow/estimator Description: High-level TensorFlow API simplifying ML programming (Python 3) TensorFlow Estimator is a high-level TensorFlow API that greatly simplifies machine learning programming. . 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Package: python3-tensorflow-estimator Architecture: all Version: 1.14.0-1+Debian.10.buster Priority: optional Section: python Source: tensorflow-estimator (1.14.0-1) Maintainer: Adam Cecile Installed-Size: 2067 Depends: python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3-absl (>= 0.7.0~), python3-six (>= 1.10.0~), python3:any Filename: pool-buster/python-tensorflow-estimator/1.14.0/python3-tensorflow-estimator_1.14.0-1+Debian.10.buster_all.deb Size: 257482 MD5sum: 8317ecdab3311d51135c30ba5909fce5 SHA1: 6fa5402775fc652e27f8807842c30896d3ffdfe5 SHA256: 33d0e13d5d6c84454a178a07ae11ab78fcc77c21475d108c34b05ba746af6743 SHA512: 3632bae67eeb1e1e261770ff56f2e5654af292008654ad97f2f4c7cac8d3d0c3ec02cac33892dd90ce4362a2a9f3e4a0b1732e3cbc2e3fca59ae95e8272c7d2a Homepage: https://github.com/tensorflow/estimator Description: High-level TensorFlow API simplifying ML programming (Python 3) TensorFlow Estimator is a high-level TensorFlow API that greatly simplifies machine learning programming. . Estimators encapsulate training, evaluation, prediction, and exporting for your model. . This package installs the library for Python 3. Package: python3-tensorflow-estimator Architecture: all Version: 1.15.2-1+Debian.10.buster Priority: optional Section: python Source: tensorflow-estimator (1.15.2-1) Maintainer: Adam Cecile Installed-Size: 2126 Depends: python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3-absl (>= 0.7.0~), python3-six (>= 1.10.0~), python3:any Filename: pool-buster/python-tensorflow-estimator/1.15.2/python3-tensorflow-estimator_1.15.2-1+Debian.10.buster_all.deb Size: 266578 MD5sum: 950d04256cad721a28bbb0a349620888 SHA1: b6699d02aad94e0cdabd04c87cc0b307a684775f SHA256: 12c697bd6175bb8301449a314d9c96c1f6355cd1fd77f3e5cc50b4efdeb6f271 SHA512: 649ff8e5830d88dc46d4cb00b89568f52eca525f3a9dd19c426dac2bd930d64949c02cb543872f5a2bd856a1fb8eb2029d1c2d98c627574791110cba15a006e3 Homepage: https://github.com/tensorflow/estimator Description: High-level TensorFlow API simplifying ML programming (Python 3) TensorFlow Estimator is a high-level TensorFlow API that greatly simplifies machine learning programming. . Estimators encapsulate training, evaluation, prediction, and exporting for your model. . This package installs the library for Python 3. Package: equivs-tensorflow-estimator Architecture: all Version: 1.13.0~ Multi-Arch: foreign Priority: optional Section: misc Maintainer: Adam Cecile Installed-Size: 9 Provides: python-tensorflow-estimator (= 1.13.0~), python3-tensorflow-estimator (= 1.13.0~) Filename: pool-buster/python-tensorflow-estimator/equivs-cuda-tensorflow-estimator/equivs-tensorflow-estimator_1.13.0~_all.deb Size: 3200 MD5sum: 74d978357c3d8c1f1cab4243940fd3fa SHA1: a5eed76fcb4f4960cdba6f83fd6765d0e394cf62 SHA256: 09cb65dfa0afad456910fe9c77a06fecbd7fda874a55c90946813dd7e46b9a5a SHA512: 6daae0ca60166d6ea0f6e73fa776ac05d59f3f8b7868c6f0e886e6a4878334d28ee84f075a6163f2d4457e55a002b3d32138430469db1fb9a76a32adac46fdc5 Description: Fake package providing python(3)-tensorflow-estimator Because the real estimator package needs Tensorflow installed for building it but tensorflow installation actually depends on estimator package... Package: equivs-tensorflow-estimator Architecture: all Version: 1.14.0~ Multi-Arch: foreign Priority: optional Section: misc Maintainer: Adam Cecile Installed-Size: 9 Provides: python3-tensorflow-estimator (= 1.14.0~) Filename: pool-buster/python-tensorflow-estimator/equivs-cuda-tensorflow-estimator/equivs-tensorflow-estimator_1.14.0~_all.deb Size: 3264 MD5sum: 95d6781e8e4ac1af3897449e2b4022f7 SHA1: 0c61963f4f494d2c79d1a5d98f624ee81256f855 SHA256: 083ab11d3649e2d6a6ba7cb96fd0fcf6ce561e21f47ef0f365e59be7ffe744b5 SHA512: ed4ddf26d7fb109513d62facecef55c2929c1a2a6f1f5d0c72ee4aa55e3ef2573a8ae185ba374a9533cf4047c44d47d255b3c21bfee0b97314bb45ad33e3d4d2 Description: Fake package providing python3-tensorflow-estimator Because the real estimator package needs Tensorflow installed for building it but tensorflow installation actually depends on estimator package... Package: equivs-tensorflow-estimator Architecture: all Version: 1.15.0~ Multi-Arch: foreign Priority: optional Section: misc Maintainer: Adam Cecile Installed-Size: 9 Provides: python3-tensorflow-estimator (= 1.15.0~) Filename: pool-buster/python-tensorflow-estimator/equivs-cuda-tensorflow-estimator/equivs-tensorflow-estimator_1.15.0~_all.deb Size: 3268 MD5sum: 14ecaf9bf7970e1916782d58cb2e8e34 SHA1: 102bb7a97a718641121e3af6026166d9a8cfa3e9 SHA256: d47528049ad1a22fabde72e3e0b2fedf3abed9cea3a377bafd9f37c71d3fd4d7 SHA512: 621aa362d445cc43471a5f64ea6dc49cf1147c079589a303d5aa8d3dfb842137eb5c7ef123ce7e9f37453732d46172f7033f615899877e28fd3a7b424a86a45b Description: Fake package providing python3-tensorflow-estimator Because the real estimator package needs Tensorflow installed for building it but tensorflow installation actually depends on estimator package... Package: equivs-tensorflow-estimator Architecture: all Version: 2.0.0~ Multi-Arch: foreign Priority: optional Section: misc Maintainer: Adam Cecile Installed-Size: 9 Provides: python3-tensorflow-estimator (= 2.0.0~) Filename: pool-buster/python-tensorflow-estimator/equivs-cuda-tensorflow-estimator/equivs-tensorflow-estimator_2.0.0~_all.deb Size: 3264 MD5sum: 6371f406bf37a14c1082295d878b4829 SHA1: 5906eb1829a0e5bf81e7a62d23705af3eea917cb SHA256: 33e3a4c3435d81faafb4b90c8743ee1d2bc332db529dcac1b514e955cab735d4 SHA512: 0e85ad3b43d03df630d61e545453c77b711ab4795f559b8368d52878d30b799674967f43fcd277ab3974d1d6f3e697c48df58a59265c7e13f48351cc5e6ef502 Description: Fake package providing python3-tensorflow-estimator Because the real estimator package needs Tensorflow installed for building it but tensorflow installation actually depends on estimator package... 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-buster/python-timezonefinder/python3-timezonefinder_4.0.2-0_all.deb Size: 21159928 MD5sum: 974bf9bfcb356ec222fdebc3bb3daae3 SHA1: 0b6e244dc65ec5c4af63ca040d6225b197330ee5 SHA256: a9cf0ba25b8f024a52c1a2778ed180439d76770ffe6a59b6a6cacde8329e686b SHA512: 57b983f87cdbaf85d86dbf42b0a710c9dd03fc5ec36f5ab4910484d6eadb37478cc145c08d3414b64cf489230f28df88f5e8b460f67f3a80ca19f58322f3f82f 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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The wrapt module focuses very much on correctness. It therefore goes way beyond existing mechanisms such as functools.wraps() to ensure that decorators preserve introspectability, signatures, type checking abilities etc. The decorators that can be constructed using this module will work in far more scenarios than typical decorators and provide more predictable and consistent behaviour. . To ensure that the overhead is as minimal as possible, a C extension module is used for performance critical components. An automatic fallback to a pure Python implementation is also provided where a target system does not have a compiler to allow the C extension to be compiled. . This package contains the Python 3.x module. Package: python-pytorch-sphinx-theme Architecture: all Version: 0.0.24.git20191017.master.9e76b28-1+Debian.10.buster 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~) Filename: pool-buster/pytorch-sphinx-theme/python-pytorch-sphinx-theme_0.0.24.git20191017.master.9e76b28-1+Debian.10.buster_all.deb Size: 72718 MD5sum: 2aa320dd833f55e5559a7b02e243e553 SHA1: 2ee3e486f06c8129c560b3a23618e278949238e2 SHA256: 52212d57800693b6c96ca15b9a0d36fc97d1ad10e537a7448d92ad2b71aec2cb SHA512: 7c590e100bbd13a44e803f90a9883611dee85e55379191c38e14351fb232738ad25a9a6625309f4058f9ada97d2bf5d3d00a6356210b0277f66a41923d959de9 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: 1.3.1+debian-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: pytorch (1.3.1+debian-1) Maintainer: Adam Cecile Installed-Size: 179082 Provides: python-caffe2, python-caffe2-avx-sse42, python-torch Depends: python (<< 2.8), python (>= 2.7~), python-future, python-numpy (>= 1:1.16.0~rc1), python-numpy-abi9, python2.7:any, python:any (<< 2.8), python:any (>= 2.7~), python-yaml, python-typing, libc6 (>= 2.28), libgcc1 (>= 1:4.0), libgomp1 (>= 4.9), libnuma1 (>= 2.0.11), libopenmpi3, libstdc++6 (>= 7) Suggests: python-torch-doc Conflicts: python-torch Replaces: python-torch Filename: pool-buster/pytorch/pytorch/python-torch-avx-sse42_1.3.1+debian-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 33401958 MD5sum: 2c48e935d166d8a1b96803c5dfb9702a SHA1: bced5735476a37691c05ac15b0dbf6682fa8a492 SHA256: 691e5f84e5b2c630acca4d653d77b0b2e0639ad595a20e67aa5c14135d7207fb SHA512: 397faf535de4bce77de58e87cbb87ff5efbca444223cf2d9b2c59bf6f45cf4abab4cde2ad34d41048f5f317794302d9045557aa3a10c8afb128d161cddf9d2ac 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 . 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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: 1.3.1+debian-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: doc Source: pytorch (1.3.1+debian-1) Maintainer: Adam Cecile Installed-Size: 19132 Filename: pool-buster/pytorch/pytorch/python-torch-doc_1.3.1+debian-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_all.deb Size: 2252820 MD5sum: b69e6759049c706ab1e925889f8ac21f SHA1: a5878840cf99a5c03c35712d3a923c0226e5b895 SHA256: 9e0236e3e0bbae60dae5e45b53c08bff59bd8f91a8cf411299be0f8c20c2eca4 SHA512: 274dafbcd1087db4ed452121b53514bbf1cf98692511c86b0127b2d18e8b78e7eb3bb36ba90b3c1bcf7f6ccde1cf33fec1df203f9fb696940e2006c970fc325f 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: 1.3.1+debian-2+1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: doc Source: pytorch (1.3.1+debian-2+1) Maintainer: Adam Cecile Installed-Size: 19132 Filename: pool-buster/pytorch/pytorch/python-torch-doc_1.3.1+debian-2+1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_all.deb Size: 2253016 MD5sum: b9bf3ed797c8a4bb0ca045d2760c508a SHA1: b7744568bc5e9383fc458edabae65b2dfab54bcb SHA256: d401e33eb0fd7e10a176f98efeca1a2734c4312a9d8b47f17ccc1a9e1c278d6f SHA512: 17cdd5ecdb596e762186adbf59b9115a96e516d749f430b800341306deaa7116c22e5007d0a117d067a970fac0b17aa7d6b8a33ee99de33ca59f427458a3b84a 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: 1.3.1+debian-2+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: doc Source: pytorch (1.3.1+debian-2) Maintainer: Adam Cecile Installed-Size: 19132 Filename: pool-buster/pytorch/pytorch/python-torch-doc_1.3.1+debian-2+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_all.deb Size: 2253016 MD5sum: 5847a6bfb8976c7317af805a88ce0ac4 SHA1: ac9fb37dd5aeb17a32dddcb5ef501545018cb4fb SHA256: cf3abab7038d23ce851c2fd7597273056bf120af263fa72dd4efa17d743e6d56 SHA512: acb43dca6ac0a9e116c846bfec9d531506bff2781c67cce71a3c0bb32d42b97e51acb1f8cabfcf88e456f90a286e12d9cd5ef6cd97b916040e7f35fd2d27fc89 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: 1.3.1+debian-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: pytorch (1.3.1+debian-1) Maintainer: Adam Cecile Installed-Size: 179066 Provides: python3-caffe2, python3-caffe2-avx-sse42, python3-torch Depends: python3 (<< 3.8), python3 (>= 3~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3.7:any, python3:any (>= 3.5~), python3-yaml, libc6 (>= 2.28), libgcc1 (>= 1:4.0), libgomp1 (>= 4.9), libnuma1 (>= 2.0.11), libopenmpi3, libstdc++6 (>= 7) Suggests: python-torch-doc Conflicts: python3-torch Replaces: python3-torch Filename: pool-buster/pytorch/pytorch/python3-torch-avx-sse42_1.3.1+debian-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 33393994 MD5sum: bb1be545a86cf06f9238e47d1c18c7ef SHA1: bde0a842c127c5f667ddedc108c0c5daed05f760 SHA256: 2b9c2b32f5d9761e5c52efbbda5fe393e1796f640fd66b170aa5adad5b2df28b SHA512: 33e971e559f7d8abe077ba5643e79141a5cd3a901f50a3a8fe20a312a2ed35290e628edb270ec50bc6538ae391174d9841f821289c0a595f4147aaf5a6990d02 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-blas-atlas Architecture: amd64 Version: 1.3.1+debian-2+1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: pytorch (1.3.1+debian-2+1) Maintainer: Adam Cecile Installed-Size: 182013 Provides: python3-caffe2, python3-torch Depends: python3 (<< 3.8), python3 (>= 3~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3.7:any, python3:any (>= 3.5~), python3-yaml, libatlas3-base, libavcodec58 (>= 7:4.0), libavformat58 (>= 7:4.1), libavutil56 (>= 7:4.0), libc6 (>= 2.28), libgcc1 (>= 1:4.0), libgomp1 (>= 4.9), libhiredis0.14 (>= 0.14.0), libleveldb1d, liblmdb0 (>= 0.9.7), libnuma1 (>= 2.0.11), libopenblas-base, libopencv-core3.2, libopencv-highgui3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libopencv-video3.2, libopencv-videoio3.2, libopenmpi3, librocksdb5.17, libsnappy1v5, libstdc++6 (>= 7), libswscale5 (>= 7:4.0), libzmq5 (>= 3.2.3+dfsg) Suggests: python-torch-doc Conflicts: python3-caffe2, python3-torch Replaces: python3-caffe2, python3-torch Filename: pool-buster/pytorch/pytorch/python3-torch-blas-atlas_1.3.1+debian-2+1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 33816886 MD5sum: 9077527b901da2da2e72f5b0f558e527 SHA1: 388f96819dbce55ea248130fd87b0fe7c45a3e2e SHA256: 36c0708ec74b994fce75209e953cbde2791e0148fd0f21bee71598c9f213a640 SHA512: cf58fce30839f8ef8bcee744f38d7b5595395688d5b5696055aef9aa93c465c458eb779b335e4dda9d7ec1ce3f45cce33c115904952a47826cdf659bf2f08268 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 built for CPU using external ATLAS BLAS. Package: python3-torch-blas-atlas Architecture: amd64 Version: 1.3.1+debian-2+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: pytorch (1.3.1+debian-2) Maintainer: Adam Cecile Installed-Size: 182013 Provides: python3-caffe2, python3-torch Depends: python3 (<< 3.8), python3 (>= 3~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3.7:any, python3:any (>= 3.5~), python3-yaml, libatlas3-base, libavcodec58 (>= 7:4.0), libavformat58 (>= 7:4.1), libavutil56 (>= 7:4.0), libc6 (>= 2.28), libgcc1 (>= 1:4.0), libgomp1 (>= 4.9), libhiredis0.14 (>= 0.14.0), libleveldb1d, liblmdb0 (>= 0.9.7), libnuma1 (>= 2.0.11), libopenblas-base, libopencv-core3.2, libopencv-highgui3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libopencv-video3.2, libopencv-videoio3.2, libopenmpi3, librocksdb5.17, libsnappy1v5, libstdc++6 (>= 7), libswscale5 (>= 7:4.0), libzmq5 (>= 3.2.3+dfsg) Suggests: python-torch-doc Conflicts: python3-caffe2, python3-torch Replaces: python3-caffe2, python3-torch Filename: pool-buster/pytorch/pytorch/python3-torch-blas-atlas_1.3.1+debian-2+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 33841306 MD5sum: df3debe08300367ce761754eb76e3330 SHA1: 6ba44c1a3e23b054ce8fca9dfd912ecdf5f0e859 SHA256: b2d94178533c461f74325c34e07d6e0e4613a94f993185cccd7e2c5b57ae0b46 SHA512: 6a99343eca7939b37c5f2c5a2159878b81ff0cfef6409e1ca98aa3102553f0acd3207f742c572955b520027fac9f3a92bd88fd0b7901ec63510939022dc4e44c 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 built for CPU using external ATLAS BLAS. Package: python3-torch-blas-eigen Architecture: amd64 Version: 1.3.1+debian-2+1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: pytorch (1.3.1+debian-2+1) Maintainer: Adam Cecile Installed-Size: 182129 Provides: python3-caffe2, python3-caffe2-avx-sse42, python3-torch, python3-torch-avx-sse42 Depends: python3 (<< 3.8), python3 (>= 3~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3.7:any, python3:any (>= 3.5~), python3-yaml, libavcodec58 (>= 7:4.0), libavformat58 (>= 7:4.1), libavutil56 (>= 7:4.0), libc6 (>= 2.28), libgcc1 (>= 1:4.0), libgomp1 (>= 4.9), libhiredis0.14 (>= 0.14.0), libleveldb1d, liblmdb0 (>= 0.9.7), libnuma1 (>= 2.0.11), libopenblas-base, libopencv-core3.2, libopencv-highgui3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libopencv-video3.2, libopencv-videoio3.2, libopenmpi3, librocksdb5.17, libsnappy1v5, libstdc++6 (>= 7), libswscale5 (>= 7:4.0), libzmq5 (>= 3.2.3+dfsg) Suggests: python-torch-doc Conflicts: python3-caffe2, python3-torch, python3-torch-avx-sse42 Replaces: python3-caffe2, python3-torch, python3-torch-avx-sse42 Filename: pool-buster/pytorch/pytorch/python3-torch-blas-eigen_1.3.1+debian-2+1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 33845890 MD5sum: 9bb306499a8b20b86ad9e74e22259ba9 SHA1: 210060440e4105c63e18309953ecc7e6171cb05b SHA256: c50a32b8260dad06d26495f7e2ca86ca010e4a5d6f3e88ff2205c0f4ba4b7d31 SHA512: 8feca679777e7ee536d3392ef8d70a9feac2246e629a2e21cf7580e5c9d10e21649cca02fe5444b5cf3ab7cc47bfa29056f46f350a489857711e0b8412ec5a38 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 built for CPU using built-in Eigen BLAS. Package: python3-torch-blas-eigen Architecture: amd64 Version: 1.3.1+debian-2+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: pytorch (1.3.1+debian-2) Maintainer: Adam Cecile Installed-Size: 182129 Provides: python3-caffe2, python3-caffe2-avx-sse42, python3-torch, python3-torch-avx-sse42 Depends: python3 (<< 3.8), python3 (>= 3~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3.7:any, python3:any (>= 3.5~), python3-yaml, libavcodec58 (>= 7:4.0), libavformat58 (>= 7:4.1), libavutil56 (>= 7:4.0), libc6 (>= 2.28), libgcc1 (>= 1:4.0), libgomp1 (>= 4.9), libhiredis0.14 (>= 0.14.0), libleveldb1d, liblmdb0 (>= 0.9.7), libnuma1 (>= 2.0.11), libopenblas-base, libopencv-core3.2, libopencv-highgui3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libopencv-video3.2, libopencv-videoio3.2, libopenmpi3, librocksdb5.17, libsnappy1v5, libstdc++6 (>= 7), libswscale5 (>= 7:4.0), libzmq5 (>= 3.2.3+dfsg) Suggests: python-torch-doc Conflicts: python3-caffe2, python3-torch, python3-torch-avx-sse42 Replaces: python3-caffe2, python3-torch, python3-torch-avx-sse42 Filename: pool-buster/pytorch/pytorch/python3-torch-blas-eigen_1.3.1+debian-2+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 33848638 MD5sum: 130a3fe273f5c9d7340b0fb1b5d5d8df SHA1: a5d4de948e5700f9c6b6fad75001de7bbce9c254 SHA256: da23cf762bfc65f954fdb1023567a26cd5002ca42f3ca0cee9bff938fd6f99ea SHA512: 49f9cd843766447741e435e48ec4896123493161b89e486f96b56cfed0a8beb3bee46229fd130bc62faf983dcde1aa183d8c2a6091bcd7e099fe0c5ded5e5c2e 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 built for CPU using built-in Eigen BLAS. Package: python3-torch-blas-mkl Architecture: amd64 Version: 1.3.1+debian-2+1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: pytorch (1.3.1+debian-2+1) Maintainer: Adam Cecile Installed-Size: 196693 Provides: python3-caffe2, python3-torch Depends: python3 (<< 3.8), python3 (>= 3~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3.7:any, python3:any (>= 3.5~), python3-yaml, libavcodec58 (>= 7:4.0), libavformat58 (>= 7:4.1), libavutil56 (>= 7:4.0), libc6 (>= 2.28), libgcc1 (>= 1:4.0), libgomp1 (>= 4.9), libhiredis0.14 (>= 0.14.0), libleveldb1d, liblmdb0 (>= 0.9.7), libnuma1 (>= 2.0.11), libopenblas-base, libopencv-core3.2, libopencv-highgui3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libopencv-video3.2, libopencv-videoio3.2, libopenmpi3, librocksdb5.17, libsnappy1v5, libstdc++6 (>= 7), libswscale5 (>= 7:4.0), libzmq5 (>= 3.2.3+dfsg) Suggests: python-torch-doc Conflicts: python3-caffe2, python3-torch Replaces: python3-caffe2, python3-torch Filename: pool-buster/pytorch/pytorch/python3-torch-blas-mkl_1.3.1+debian-2+1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 36451486 MD5sum: d46fc6d9e140ef05bad68660f28ac975 SHA1: 7c9228b50411f9c6b8c7b1dbcdb5f2e5272f6667 SHA256: 1edcc475c40842d5687ebfa68f55e30a5002c9670fd57e8036b5f2de495cc0f9 SHA512: 48ef8b5b7f02838fe216964e493404c228dcacfee7f4f60eec37f55aaebefb2c98b4bedee8971b01a32684af02f1e2687b7ee5d33c64826c3e603b464ce199f4 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 built for CPU using external Intel MKL/MKL-DNN BLAS. Package: python3-torch-blas-mkl Architecture: amd64 Version: 1.3.1+debian-2+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: pytorch (1.3.1+debian-2) Maintainer: Adam Cecile Installed-Size: 196693 Provides: python3-caffe2, python3-torch Depends: python3 (<< 3.8), python3 (>= 3~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3.7:any, python3:any (>= 3.5~), python3-yaml, libavcodec58 (>= 7:4.0), libavformat58 (>= 7:4.1), libavutil56 (>= 7:4.0), libc6 (>= 2.28), libgcc1 (>= 1:4.0), libgomp1 (>= 4.9), libhiredis0.14 (>= 0.14.0), libleveldb1d, liblmdb0 (>= 0.9.7), libnuma1 (>= 2.0.11), libopenblas-base, libopencv-core3.2, libopencv-highgui3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libopencv-video3.2, libopencv-videoio3.2, libopenmpi3, librocksdb5.17, libsnappy1v5, libstdc++6 (>= 7), libswscale5 (>= 7:4.0), libzmq5 (>= 3.2.3+dfsg) Suggests: python-torch-doc Conflicts: python3-caffe2, python3-torch Replaces: python3-caffe2, python3-torch Filename: pool-buster/pytorch/pytorch/python3-torch-blas-mkl_1.3.1+debian-2+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 36459074 MD5sum: a2e017e67ea8c791f6054bf4513c4977 SHA1: f92301a3ea5a45603ae055f27ac5fb6ce32cd62b SHA256: 8847e945f12c181cf83c8b07d0f0b2cc4f54fd79c4d0575e6554bc3a08762cec SHA512: ce91c065278de0acbdf862b38b82ab54e6bcbd0f96e4359487dbf6c6d8a10104a86f4a0471fc0011b3aefb027388e5f4732207859f3785fb3b8fd4858fb784ec 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 built for CPU using external Intel MKL/MKL-DNN BLAS. Package: python3-torch-blas-openblas Architecture: amd64 Version: 1.3.1+debian-2+1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: pytorch (1.3.1+debian-2+1) Maintainer: Adam Cecile Installed-Size: 182025 Provides: python3-caffe2, python3-torch Depends: python3 (<< 3.8), python3 (>= 3~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3.7:any, python3:any (>= 3.5~), python3-yaml, libavcodec58 (>= 7:4.0), libavformat58 (>= 7:4.1), libavutil56 (>= 7:4.0), libc6 (>= 2.28), libgcc1 (>= 1:4.0), libgomp1 (>= 4.9), libhiredis0.14 (>= 0.14.0), libleveldb1d, liblmdb0 (>= 0.9.7), libnuma1 (>= 2.0.11), libopenblas-base, libopencv-core3.2, libopencv-highgui3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libopencv-video3.2, libopencv-videoio3.2, libopenmpi3, librocksdb5.17, libsnappy1v5, libstdc++6 (>= 7), libswscale5 (>= 7:4.0), libzmq5 (>= 3.2.3+dfsg) Suggests: python-torch-doc Conflicts: python3-caffe2, python3-torch Replaces: python3-caffe2, python3-torch Filename: pool-buster/pytorch/pytorch/python3-torch-blas-openblas_1.3.1+debian-2+1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 33834586 MD5sum: 64c40c60f2936d07a43b0f5747b73a68 SHA1: 1cd0f908a545575e13029190efbc337c07a9091f SHA256: 7f6cfa160c3e5f2f557abea8e604a6752890e6d0760b3f70f0fa11b205467c9c SHA512: d88750267dbf6a561efaba978ec7f53bdd6d51ed7a53be718b8bab5bbb30098dec12658007947a7a3f6eb5349d6657398047e1b47e3f591c60bea043df7881eb 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 built for CPU using external OpenBLAS BLAS. Package: python3-torch-blas-openblas Architecture: amd64 Version: 1.3.1+debian-2+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: pytorch (1.3.1+debian-2) Maintainer: Adam Cecile Installed-Size: 182025 Provides: python3-caffe2, python3-torch Depends: python3 (<< 3.8), python3 (>= 3~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3.7:any, python3:any (>= 3.5~), python3-yaml, libavcodec58 (>= 7:4.0), libavformat58 (>= 7:4.1), libavutil56 (>= 7:4.0), libc6 (>= 2.28), libgcc1 (>= 1:4.0), libgomp1 (>= 4.9), libhiredis0.14 (>= 0.14.0), libleveldb1d, liblmdb0 (>= 0.9.7), libnuma1 (>= 2.0.11), libopenblas-base, libopencv-core3.2, libopencv-highgui3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libopencv-video3.2, libopencv-videoio3.2, libopenmpi3, librocksdb5.17, libsnappy1v5, libstdc++6 (>= 7), libswscale5 (>= 7:4.0), libzmq5 (>= 3.2.3+dfsg) Suggests: python-torch-doc Conflicts: python3-caffe2, python3-torch Replaces: python3-caffe2, python3-torch Filename: pool-buster/pytorch/pytorch/python3-torch-blas-openblas_1.3.1+debian-2+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 33825534 MD5sum: e5375ec2aef220486b49d85c077a605e SHA1: 5949c2da506a7b0f29d66467882cf9ae138a00fc SHA256: f9c84efc0a86f43fe00cf0cacf2cb37ac028e346bf926f7ebf82b7d91f28b84f SHA512: 346da96defcd0a5a3d6df48a7e20421ba842bcfb30ac900008e1203fcb2c931d1c17607e80097b40abc3a7a721c9ca05fa6fd816eb6b72e49c345b3b8200383d 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 built for CPU using external OpenBLAS BLAS. Package: python3-torch-cuda-avx-sse42 Architecture: amd64 Version: 1.3.1+debian-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: pytorch (1.3.1+debian-1) Maintainer: Adam Cecile Installed-Size: 1838926 Provides: python-caffe3-cuda-avx-sse42, python3-caffe2, python3-torch Depends: python3 (<< 3.8), python3 (>= 3~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3.7:any, python3:any (>= 3.5~), python3-yaml, libc6 (>= 2.28), libcublas9.2, libcuda1 (>= 346), libcudart9.2, libcudnn7 (= 7.4.2.24-1+cuda9.2), libcufft9.2, libcurand9.2, libcusparse9.2, libgcc1 (>= 1:4.0), libgomp1 (>= 4.9), libnccl2, libnuma1 (>= 2.0.11), libnvrtc9.2, libnvtoolsext1 (>= 5.0), libopenmpi3, libstdc++6 (>= 7) Suggests: python-torch-doc Conflicts: python3-torch Replaces: python3-torch Filename: pool-buster/pytorch/pytorch/python3-torch-cuda-avx-sse42_1.3.1+debian-1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 110698470 MD5sum: 022f23f42d16a82d1f36315a37dda1a6 SHA1: d0e46ffc7ae1823188b46bac7d8cb4c052125197 SHA256: b5d19af7046ebcf9dd22b458d127308686d96800a585812cd9e90274510b8f78 SHA512: f292f6bfb7cb3cb0e7667f3b43e337928d22c35490d38beb8176b0f7f5ccd6b3828c6a58f398d7d25d0a98e89f182c961b093262713bbb73adb0ad4f6858c1ba 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-blas-atlas Architecture: amd64 Version: 1.3.1+debian-2+1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: pytorch (1.3.1+debian-2+1) Maintainer: Adam Cecile Installed-Size: 1842045 Provides: python3-caffe2, python3-torch Depends: python3 (<< 3.8), python3 (>= 3~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3.7:any, python3:any (>= 3.5~), python3-yaml, libatlas3-base, libavcodec58 (>= 7:4.0), libavformat58 (>= 7:4.1), libavutil56 (>= 7:4.0), libc6 (>= 2.28), libcublas9.2, libcuda1 (>= 346) | libcuda.so.1 (>= 346), libcudart9.2, libcudnn7 (= 7.6.4.38-1+cuda9.2), libcufft9.2, libcurand9.2, libcusparse9.2, libgcc1 (>= 1:4.0), libgomp1 (>= 4.9), libhiredis0.14 (>= 0.14.0), libleveldb1d, liblmdb0 (>= 0.9.7), libnccl2, libnuma1 (>= 2.0.11), libnvrtc9.2, libnvtoolsext1 (>= 5.0), libopenblas-base, libopencv-core3.2, libopencv-highgui3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libopencv-video3.2, libopencv-videoio3.2, libopenmpi3, librocksdb5.17, libsnappy1v5, libstdc++6 (>= 7), libswscale5 (>= 7:4.0), libzmq5 (>= 3.2.3+dfsg) Suggests: python-torch-doc Conflicts: python3-caffe2, python3-torch Replaces: python3-caffe2, python3-torch Filename: pool-buster/pytorch/pytorch/python3-torch-cuda-blas-atlas_1.3.1+debian-2+1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 110817102 MD5sum: c90fa6fe36f47657bb79c39708ea12df SHA1: 12a4f169364e539ba691c72d476d4384e6167cdb SHA256: f9b4369d72cddd93bdb997a93f5bfbfa621ce702f277f12d1a9c582e585fa0b1 SHA512: 7f7a273aa1d623d2db99b208d2f84fd9b0b3453b426475c5558e7d681393c5a54fbd160545955c4f04ac1e1dcad34a5d2e52fe7103dd33dc76be63ac29ed8f06 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 built for NVIDIA GPU with CUDA support and CPU using external ATLAS BLAS. Package: python3-torch-cuda-blas-atlas Architecture: amd64 Version: 1.3.1+debian-2+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: pytorch (1.3.1+debian-2) Maintainer: Adam Cecile Installed-Size: 1842045 Provides: python3-caffe2, python3-torch Depends: python3 (<< 3.8), python3 (>= 3~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3.7:any, python3:any (>= 3.5~), python3-yaml, libatlas3-base, libavcodec58 (>= 7:4.0), libavformat58 (>= 7:4.1), libavutil56 (>= 7:4.0), libc6 (>= 2.28), libcublas9.2, libcuda1 (>= 346), libcudart9.2, libcudnn7 (= 7.6.4.38-1+cuda9.2), libcufft9.2, libcurand9.2, libcusparse9.2, libgcc1 (>= 1:4.0), libgomp1 (>= 4.9), libhiredis0.14 (>= 0.14.0), libleveldb1d, liblmdb0 (>= 0.9.7), libnccl2, libnuma1 (>= 2.0.11), libnvrtc9.2, libnvtoolsext1 (>= 5.0), libopenblas-base, libopencv-core3.2, libopencv-highgui3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libopencv-video3.2, libopencv-videoio3.2, libopenmpi3, librocksdb5.17, libsnappy1v5, libstdc++6 (>= 7), libswscale5 (>= 7:4.0), libzmq5 (>= 3.2.3+dfsg) Suggests: python-torch-doc Conflicts: python3-caffe2, python3-torch Replaces: python3-caffe2, python3-torch Filename: pool-buster/pytorch/pytorch/python3-torch-cuda-blas-atlas_1.3.1+debian-2+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 110803018 MD5sum: a88cedd483b5328cb768bb2da1372155 SHA1: a0a6d592b98032f351284fec96efc6c3e7656d1f SHA256: 77855719047835badc7f22ffdf8bddee9b06372426ae66050fd112956f15547f SHA512: c5a936ac49779a88dedb0be65bae9a7120bede4fb420b981c770bd9ee1c879e476577649366127b5e64bfbf10a2d217bcdb9e097dec85886d9ec869b2538c8db 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 built for NVIDIA GPU with CUDA support and CPU using external ATLAS BLAS. Package: python3-torch-cuda-blas-eigen Architecture: amd64 Version: 1.3.1+debian-2+1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: pytorch (1.3.1+debian-2+1) Maintainer: Adam Cecile Installed-Size: 1842157 Provides: python3-caffe2, python3-caffe2-cuda-avx-sse42, python3-torch, python3-torch-cuda-avx-sse42 Depends: python3 (<< 3.8), python3 (>= 3~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3.7:any, python3:any (>= 3.5~), python3-yaml, libavcodec58 (>= 7:4.0), libavformat58 (>= 7:4.1), libavutil56 (>= 7:4.0), libc6 (>= 2.28), libcublas9.2, libcuda1 (>= 346) | libcuda.so.1 (>= 346), libcudart9.2, libcudnn7 (= 7.6.4.38-1+cuda9.2), libcufft9.2, libcurand9.2, libcusparse9.2, libgcc1 (>= 1:4.0), libgomp1 (>= 4.9), libhiredis0.14 (>= 0.14.0), libleveldb1d, liblmdb0 (>= 0.9.7), libnccl2, libnuma1 (>= 2.0.11), libnvrtc9.2, libnvtoolsext1 (>= 5.0), libopenblas-base, libopencv-core3.2, libopencv-highgui3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libopencv-video3.2, libopencv-videoio3.2, libopenmpi3, librocksdb5.17, libsnappy1v5, libstdc++6 (>= 7), libswscale5 (>= 7:4.0), libzmq5 (>= 3.2.3+dfsg) Suggests: python-torch-doc Conflicts: python3-caffe2, python3-torch, python3-torch-cuda-avx-sse42 Replaces: python3-caffe2, python3-torch, python3-torch-cuda-avx-sse42 Filename: pool-buster/pytorch/pytorch/python3-torch-cuda-blas-eigen_1.3.1+debian-2+1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 110895626 MD5sum: 8738670bc3678b8cb73c5fd9ac4d9755 SHA1: f8350d25dd34a58609a2aca4bda974faac9f866e SHA256: cd3704c9b0624dd96e2f81b8018de5f20085afe9399d39f104a30af8389af191 SHA512: 54a17b5b1cf0a9ae2d4d7282a4aac53d99aa29fd4f8125b9e001cb0775b50f10a9f9c1e3461491724757ab9a1672eefe47276da934237460565ade845c68ad90 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 built for NVIDIA GPU with CUDA support and CPU using built-in Eigen BLAS. Package: python3-torch-cuda-blas-eigen Architecture: amd64 Version: 1.3.1+debian-2+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: pytorch (1.3.1+debian-2) Maintainer: Adam Cecile Installed-Size: 1842157 Provides: python3-caffe2, python3-caffe2-cuda-avx-sse42, python3-torch, python3-torch-cuda-avx-sse42 Depends: python3 (<< 3.8), python3 (>= 3~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3.7:any, python3:any (>= 3.5~), python3-yaml, libavcodec58 (>= 7:4.0), libavformat58 (>= 7:4.1), libavutil56 (>= 7:4.0), libc6 (>= 2.28), libcublas9.2, libcuda1 (>= 346), libcudart9.2, libcudnn7 (= 7.6.4.38-1+cuda9.2), libcufft9.2, libcurand9.2, libcusparse9.2, libgcc1 (>= 1:4.0), libgomp1 (>= 4.9), libhiredis0.14 (>= 0.14.0), libleveldb1d, liblmdb0 (>= 0.9.7), libnccl2, libnuma1 (>= 2.0.11), libnvrtc9.2, libnvtoolsext1 (>= 5.0), libopenblas-base, libopencv-core3.2, libopencv-highgui3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libopencv-video3.2, libopencv-videoio3.2, libopenmpi3, librocksdb5.17, libsnappy1v5, libstdc++6 (>= 7), libswscale5 (>= 7:4.0), libzmq5 (>= 3.2.3+dfsg) Suggests: python-torch-doc Conflicts: python3-caffe2, python3-torch, python3-torch-cuda-avx-sse42 Replaces: python3-caffe2, python3-torch, python3-torch-cuda-avx-sse42 Filename: pool-buster/pytorch/pytorch/python3-torch-cuda-blas-eigen_1.3.1+debian-2+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 110889774 MD5sum: e0304d49f55bdf7b800d01ad74c3efe8 SHA1: 8f43d12a30faa97326ae61d041e1e02ae47b7a7b SHA256: d01275136cef87e399764c5deb2d5b6226a87fedc8ce2c9cfdafbc98b8cf0451 SHA512: ad66a221675756e307b8916cfef0b6048c2c1f20a867294bd1240f1376029b6f8b2f4ec94b92e3294cfe6b358b7ba6be3646b177e63dac33920285014f826ad2 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 built for NVIDIA GPU with CUDA support and CPU using built-in Eigen BLAS. Package: python3-torch-cuda-blas-mkl Architecture: amd64 Version: 1.3.1+debian-2+1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: pytorch (1.3.1+debian-2+1) Maintainer: Adam Cecile Installed-Size: 1856836 Provides: python3-caffe2, python3-torch Depends: python3 (<< 3.8), python3 (>= 3~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3.7:any, python3:any (>= 3.5~), python3-yaml, libavcodec58 (>= 7:4.0), libavformat58 (>= 7:4.1), libavutil56 (>= 7:4.0), libc6 (>= 2.28), libcublas9.2, libcuda1 (>= 346) | libcuda.so.1 (>= 346), libcudart9.2, libcudnn7 (= 7.6.4.38-1+cuda9.2), libcufft9.2, libcurand9.2, libcusparse9.2, libgcc1 (>= 1:4.0), libgomp1 (>= 4.9), libhiredis0.14 (>= 0.14.0), libleveldb1d, liblmdb0 (>= 0.9.7), libnccl2, libnuma1 (>= 2.0.11), libnvrtc9.2, libnvtoolsext1 (>= 5.0), libopenblas-base, libopencv-core3.2, libopencv-highgui3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libopencv-video3.2, libopencv-videoio3.2, libopenmpi3, librocksdb5.17, libsnappy1v5, libstdc++6 (>= 7), libswscale5 (>= 7:4.0), libzmq5 (>= 3.2.3+dfsg) Suggests: python-torch-doc Conflicts: python3-caffe2, python3-torch Replaces: python3-caffe2, python3-torch Filename: pool-buster/pytorch/pytorch/python3-torch-cuda-blas-mkl_1.3.1+debian-2+1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 113813978 MD5sum: 4985eed963a33adb41957abb0336ddc8 SHA1: 640ae902ac9b6eca9b54eb2f609dd5215e771478 SHA256: 18156cf6f65996a35ac8bdd940daaaeb1b5f02c53a654b2aed4c20460414280c SHA512: 8461a732dfd162ce6b4ae7fc43f5e1eb28f78635f94b10089effb806fb7f0aea22797f80242b1d94360e9d9306918fae130f8f848c127d0121e89fd7a437828a 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 built for NVIDIA GPU with CUDA support and CPU using external Intel MKL/MKL-DNN BLAS. Package: python3-torch-cuda-blas-mkl Architecture: amd64 Version: 1.3.1+debian-2+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: pytorch (1.3.1+debian-2) Maintainer: Adam Cecile Installed-Size: 1856836 Provides: python3-caffe2, python3-torch Depends: python3 (<< 3.8), python3 (>= 3~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3.7:any, python3:any (>= 3.5~), python3-yaml, libavcodec58 (>= 7:4.0), libavformat58 (>= 7:4.1), libavutil56 (>= 7:4.0), libc6 (>= 2.28), libcublas9.2, libcuda1 (>= 346), libcudart9.2, libcudnn7 (= 7.6.4.38-1+cuda9.2), libcufft9.2, libcurand9.2, libcusparse9.2, libgcc1 (>= 1:4.0), libgomp1 (>= 4.9), libhiredis0.14 (>= 0.14.0), libleveldb1d, liblmdb0 (>= 0.9.7), libnccl2, libnuma1 (>= 2.0.11), libnvrtc9.2, libnvtoolsext1 (>= 5.0), libopenblas-base, libopencv-core3.2, libopencv-highgui3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libopencv-video3.2, libopencv-videoio3.2, libopenmpi3, librocksdb5.17, libsnappy1v5, libstdc++6 (>= 7), libswscale5 (>= 7:4.0), libzmq5 (>= 3.2.3+dfsg) Suggests: python-torch-doc Conflicts: python3-caffe2, python3-torch Replaces: python3-caffe2, python3-torch Filename: pool-buster/pytorch/pytorch/python3-torch-cuda-blas-mkl_1.3.1+debian-2+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 113821074 MD5sum: fcdf9f90dfc89671d1335b8334062490 SHA1: 6e33e6e52e2d9de8bba1a05afa02c6278c91c77b SHA256: 8095489926a64956672971c56bd61ef002280b7defc392258ad08140f840b7c2 SHA512: 148a616edd835ea81a9c6433324a14a38b421cab83d5e8585c8caaf43ea0f9a685cd5a75dda7fa1fc59e31fb378b169f55dcb6011ced6edce9722fdc6f85b36f 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 built for NVIDIA GPU with CUDA support and CPU using external Intel MKL/MKL-DNN BLAS. Package: python3-torch-cuda-blas-openblas Architecture: amd64 Version: 1.3.1+debian-2+1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: pytorch (1.3.1+debian-2+1) Maintainer: Adam Cecile Installed-Size: 1842049 Provides: python3-caffe2, python3-torch Depends: python3 (<< 3.8), python3 (>= 3~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3.7:any, python3:any (>= 3.5~), python3-yaml, libavcodec58 (>= 7:4.0), libavformat58 (>= 7:4.1), libavutil56 (>= 7:4.0), libc6 (>= 2.28), libcublas9.2, libcuda1 (>= 346) | libcuda.so.1 (>= 346), libcudart9.2, libcudnn7 (= 7.6.4.38-1+cuda9.2), libcufft9.2, libcurand9.2, libcusparse9.2, libgcc1 (>= 1:4.0), libgomp1 (>= 4.9), libhiredis0.14 (>= 0.14.0), libleveldb1d, liblmdb0 (>= 0.9.7), libnccl2, libnuma1 (>= 2.0.11), libnvrtc9.2, libnvtoolsext1 (>= 5.0), libopenblas-base, libopencv-core3.2, libopencv-highgui3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libopencv-video3.2, libopencv-videoio3.2, libopenmpi3, librocksdb5.17, libsnappy1v5, libstdc++6 (>= 7), libswscale5 (>= 7:4.0), libzmq5 (>= 3.2.3+dfsg) Suggests: python-torch-doc Conflicts: python3-caffe2, python3-torch Replaces: python3-caffe2, python3-torch Filename: pool-buster/pytorch/pytorch/python3-torch-cuda-blas-openblas_1.3.1+debian-2+1+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 110798578 MD5sum: 2296086803673008e7fe753e8b2c800f SHA1: 33a9ce9d19de3b7eed00048e9eb996b3dd65515a SHA256: fe8c8c303f8a28378cf8b5941ea42db93f9a14ecf617ba419301b943ff69da0a SHA512: 4a5f5f53b5df1e406b1e61838b0bda27ecdf7caad125017d69c7ab15707dab2650a8729d9ad256d36e65d1224f8142d4b958866efaa22288d49e2350edbaea68 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 built for NVIDIA GPU with CUDA support and CPU using external OpenBLAS BLAS. Package: python3-torch-cuda-blas-openblas Architecture: amd64 Version: 1.3.1+debian-2+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70 Priority: optional Section: python Source: pytorch (1.3.1+debian-2) Maintainer: Adam Cecile Installed-Size: 1842049 Provides: python3-caffe2, python3-torch Depends: python3 (<< 3.8), python3 (>= 3~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3.7:any, python3:any (>= 3.5~), python3-yaml, libavcodec58 (>= 7:4.0), libavformat58 (>= 7:4.1), libavutil56 (>= 7:4.0), libc6 (>= 2.28), libcublas9.2, libcuda1 (>= 346), libcudart9.2, libcudnn7 (= 7.6.4.38-1+cuda9.2), libcufft9.2, libcurand9.2, libcusparse9.2, libgcc1 (>= 1:4.0), libgomp1 (>= 4.9), libhiredis0.14 (>= 0.14.0), libleveldb1d, liblmdb0 (>= 0.9.7), libnccl2, libnuma1 (>= 2.0.11), libnvrtc9.2, libnvtoolsext1 (>= 5.0), libopenblas-base, libopencv-core3.2, libopencv-highgui3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libopencv-video3.2, libopencv-videoio3.2, libopenmpi3, librocksdb5.17, libsnappy1v5, libstdc++6 (>= 7), libswscale5 (>= 7:4.0), libzmq5 (>= 3.2.3+dfsg) Suggests: python-torch-doc Conflicts: python3-caffe2, python3-torch Replaces: python3-caffe2, python3-torch Filename: pool-buster/pytorch/pytorch/python3-torch-cuda-blas-openblas_1.3.1+debian-2+Debian.10.buster+Cuda.9.2.Levels.30.35.37.50.52.53.60.61.70_amd64.deb Size: 110778906 MD5sum: ff0b690c24c18df0176d898b8279c31f SHA1: a746a81fbf5ff03ea70eb06a10fc14cf56f401c5 SHA256: 2ca0fb80b90b57e5b2473574032b038f45970872c8422ffaa820ca15a24aa2f1 SHA512: 54a3d34cd9bb9e8378bfc95b60ab39b77b5a8f4f442d4c3509dd22c6917d71f0ce03f77e899b36150eadaace1ec63104a744670c9779add5a51c027a968bf79c 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 built for NVIDIA GPU with CUDA support and CPU using external OpenBLAS BLAS. Package: python-torchvision Architecture: all Version: 0.1.9-1+Debian.buster.testing 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-buster/pytorch/torchvision/python-torchvision_0.1.9-1+Debian.buster.testing_all.deb Size: 31356 MD5sum: 6254898063aed542e30c18899014abf8 SHA1: 9c87cc312be957f6304b78ced90b0f332ca8196f SHA256: ee9ed694611605beea1e622b609f02e6386ed079cebb7809c5c6664d81cffc8d SHA512: d9c11197bdbe8bb2b2631a048b33bf9b339a28ffc8c2938b9fd95fa161b6dd901f0daa65d316644a4eae247bce9051b536bfa436ce727eaa3f9e592c345817e0 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.buster.testing 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-buster/pytorch/torchvision/python3-torchvision_0.1.9-1+Debian.buster.testing_all.deb Size: 31436 MD5sum: 7315d295775ef3a15e4aaa43f8b69ba4 SHA1: d9266d275e6f0f6a650cadc0c2a2e5609dc30395 SHA256: 012f163456dbfcf6c04c6ae8010de3bb5003bbd3c45856c4691869e2236610cd SHA512: 6f4f190812452fb923912393a0b8ea0b9fcbec360a7ff48783f28ad14b02c6511ce7f0a81657cc0a3b01795e29c28bf595fa92c7c5e13039194a1f55642d2c5c 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.buster.10 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.buster.10) Suggests: shark-doc Filename: pool-buster/shark/libshark-dev_3.1.4+ds1-1.1+Debian.buster.10_amd64.deb Size: 452828 MD5sum: 2e57957f6ff9822a8cf50fbd6625ce91 SHA1: 948c69a6c723a9bcd0ad5b9878413ad59ff766db SHA256: e4b32bc347cc6ab9b2a601fe51dee15357f6e6e6bc4fe4decfdb61270f95eb45 SHA512: 6f04644107baaecea9d71451bebf7f06659e508f82d861cbb8539e6b7d275bcff36bd482c17ac9d7d4d43ccd4dc25f07b2c8e850a23e0442f2e9d1df60654ab3 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.buster.10 Auto-Built-Package: debug-symbols Multi-Arch: same Priority: optional Section: debug Source: shark (3.1.4+ds1-1.1) Maintainer: Debian Science Maintainers Installed-Size: 18113 Depends: libshark0 (= 3.1.4+ds1-1.1+Debian.buster.10) Filename: pool-buster/shark/libshark0-dbgsym_3.1.4+ds1-1.1+Debian.buster.10_amd64.deb Size: 17171716 MD5sum: 7baaf3343f62167fe96fa070b8c0d4c3 SHA1: c3001f92d1f0792ca86fed5ab31bb9373b10fcf7 SHA256: b4acd4813a7fe24b862afcb773ac46c5ba419588079fabf7924001f6a42010e2 SHA512: ada972cebdb0a37a5b73b3fe073bf5e59960d53d3359b67a23c40517b7807e3fa33b9e25956592f482ff1872543076ef54d33ccc0aea762dc17fd800ee86cf6b Description: debug symbols for libshark0 Build-Ids: 94db00263e871b3171c2e5fc9cf1958e8ea07b33 Package: libshark0 Architecture: amd64 Version: 3.1.4+ds1-1.1+Debian.buster.10 Multi-Arch: same Priority: optional Section: libs Source: shark (3.1.4+ds1-1.1) Maintainer: Debian Science Maintainers Installed-Size: 3396 Depends: libblas3 | libblas.so.3, libboost-serialization1.67.0, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libstdc++6 (>= 5.2) Filename: pool-buster/shark/libshark0_3.1.4+ds1-1.1+Debian.buster.10_amd64.deb Size: 629670 MD5sum: be6b56da7785b65775b9bcf4b69e0084 SHA1: b51ec77a4d5d287c3bfb5d4e548bb9daf752a071 SHA256: 3b3afd3567db0757d94100f5be2f1530ec1278e6fa0f42f832ff4e2578f0834f SHA512: 28e3b157c34fc3d569e3af76a3635c00ca7bff2d1d43832e4274a6ef3f0a60f33d474f4eb9abd25e2064db40c53ee4281d7f19957bd8339e456c65ebc51226be 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.buster.10 Built-Using: sphinx (= 1.8.4-1) Multi-Arch: foreign Priority: optional Section: doc Source: shark (3.1.4+ds1-1.1) Maintainer: Debian Science Maintainers Installed-Size: 102105 Depends: libjs-sphinxdoc (>= 1.0), libjs-mathjax Filename: pool-buster/shark/shark-doc_3.1.4+ds1-1.1+Debian.buster.10_all.deb Size: 21429646 MD5sum: c9e3a027e85f0995f533825f2c76c5e9 SHA1: 543b13e8418bf862476c2079cdc18bf9a65fc9b9 SHA256: 8199194874ae2ad136734c428d01f89ac432cc52c9acebf5d8b9ee2681567be8 SHA512: bdd56b4f97d807815f627bb20b1403ff458f837c7c991c802f6a894d2c8ca6762f5e609ec558e57e5ae1abc8271641c25fbcb3b0591643df4daecb43b0ea6048 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.buster.10 Priority: optional Section: doc Source: sortedcollections (1.0.1-1~bpo) Maintainer: Debian Python Modules Team Installed-Size: 296 Depends: libjs-sphinxdoc (>= 1.0) Filename: pool-buster/sortedcollections/python-sortedcollections-doc_1.0.1-1~bpo+Debian.buster.10_all.deb Size: 124934 MD5sum: 542cfa141a4aa2cf3d17edf8b3284bc2 SHA1: 7904e5a6c5cc1377cd63a414452751b5d799bd0a SHA256: e787001bf01ef317137be6786139fd1e58e7fee9709f5ad8b920ebdf937539f8 SHA512: ec94fedefec76a46c91cd669dcd8c87123b140628778229927fd1433ad6416e6fc01b4128994564a8687c07d783e3c85769a7de1b129413bb0870641e1a65af8 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.buster.10 Priority: optional Section: python Source: sortedcollections (1.0.1-1~bpo) Maintainer: Debian Python Modules Team Installed-Size: 43 Depends: python3-sortedcontainers, python3:any Filename: pool-buster/sortedcollections/python3-sortedcollections_1.0.1-1~bpo+Debian.buster.10_all.deb Size: 9576 MD5sum: a61e699cb92f25a2b62752a2175dae19 SHA1: b5a01c3bb3f1caa03f7c711111dfbbe87920b3ea SHA256: 4457555c4f4815b4a88da412af3442534c870b838bba5652ac069d722778edb0 SHA512: 9cca103708c5850705c44429c78ffcd472d92302858957f2f0a55b221f001a3b6c500761df15a6b0c77db9250a889910385e90663ca660c35322fa36d41a67df 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.buster.10 Built-Using: alabaster (= 0.7.8-1), sphinx (= 1.8.4-1) Multi-Arch: foreign Priority: optional Section: doc Source: sortedcontainers (2.1.0-1~bpo) Maintainer: Debian Python Modules Team Installed-Size: 20520 Depends: libjs-sphinxdoc (>= 1.0) Filename: pool-buster/sortedcontainers/python-sortedcontainers-doc_2.1.0-1~bpo+Debian.buster.10_all.deb Size: 15952140 MD5sum: ba3b03f8901182a20a0b4c2e87d7b531 SHA1: e547bb662942e6fd03b1cc3362758a4f0d959e9b SHA256: 9ef14f55f2b839ed79f97f776052bc69c6f45250f97029f3f06e13abd7ad3297 SHA512: bfbbb776865abac3ffbb90def6a6fa0334390028908371ed6a5d2bec0aaf2676696aea43025aeab6d37d03635ce8d8bd2c9db88973b6114ff0a3660ab39cb704 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.buster.10 Multi-Arch: foreign Priority: optional Section: python Source: sortedcontainers (2.1.0-1~bpo) Maintainer: Debian Python Modules Team Installed-Size: 158 Provides: python2.7-sortedcontainers Depends: python:any (<< 2.8), python:any (>= 2.7~) Suggests: python-sortedcontainers-doc Filename: pool-buster/sortedcontainers/python-sortedcontainers_2.1.0-1~bpo+Debian.buster.10_all.deb Size: 32422 MD5sum: 622dd865dd0f09d9d4c3047865932071 SHA1: 39531a1da44441c10dd05cd8b7bb32a39207afd1 SHA256: 2620e73f3c419fd94bf8c54a574a7bfcb759025d836bc8f9f2ebe960fbf8d718 SHA512: 9466a898580a4203c341dc904398456054df3ad9b28610607a43b03778105b7d9b570e5143e78900f808c786e9cc42f52c01b08a4caa5ad6b6011d4415192de5 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.buster.10 Multi-Arch: foreign Priority: optional Section: python Source: sortedcontainers (2.1.0-1~bpo) Maintainer: Debian Python Modules Team Installed-Size: 158 Depends: python3:any Suggests: python-sortedcontainers-doc Filename: pool-buster/sortedcontainers/python3-sortedcontainers_2.1.0-1~bpo+Debian.buster.10_all.deb Size: 32506 MD5sum: 8b40032f1114f793628c1e56d6f89a2a SHA1: dd1c420f766120469291bb3411dd8d30ab200e8f SHA256: 492145493839d472b878c7545da97c81ceebf27bc03ebb4b6c3f2d5eddfd417e SHA512: 728576fde32630154594762f2cc7ddacd733aef89b1d018df04658a71fd5bd0610080ac2d01bf1bd6b548b4af758c2f7e4b83d349cc26e2a654bd31fb491b6d7 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-statsmodels-doc Architecture: all Version: 0.9.0-0+Debian.buster.testing Priority: optional Section: doc Source: statsmodels (0.9.0-0) Maintainer: Debian Science Maintainers Installed-Size: 77553 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-buster/statsmodel/statsmodel/python-statsmodels-doc_0.9.0-0+Debian.buster.testing_all.deb Size: 11568234 MD5sum: a21921de0102c3995fd4dfaf4d19aedd SHA1: 5f143e4e1261b93085fa9c2c2dabe1296ee48e32 SHA256: 66a6e20c4e25aee36a206acf9f1368dcfa4871b2bd3041116a02455ef711414a SHA512: 49fdbab348e234e5e4352dc47428a345a9e969450a96e170ca01d6f78e959fb4be27cc0ede9385105617e6b59f7cbe0ce6daaa1675a1e98517f0997ce732a27d 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: 0.9.0-0+Debian.buster.testing Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: statsmodels (0.9.0-0) Maintainer: Debian Science Maintainers Installed-Size: 7197 Depends: python-statsmodels-lib (= 0.9.0-0+Debian.buster.testing) Filename: pool-buster/statsmodel/statsmodel/python-statsmodels-lib-dbgsym_0.9.0-0+Debian.buster.testing_amd64.deb Size: 6322952 MD5sum: 28d4080ae923ed754ab3fd6c0a5b3910 SHA1: 8f7cca14a1ef44b6707af826d370c60a4fe951da SHA256: 4ed9b98c27bd5bb1deda47716ce83bda00eaf49a0d080160435585b4a18577ea SHA512: 4a7685f2c6bab7cdd7449e3432a8ff961ebe076c7657ee0ad302eac096ac5823f85f63a19490a8acfa7039dd4c4be0031827026ec00ba8915b2d741c1396fe38 Description: debug symbols for python-statsmodels-lib Build-Ids: 2b19858419bc031b161953f1503702ab39d7917d 30eb14c86f2da922582648eb65b79c0a56502967 38f384986f4b539e5ab2f5b682f427a44419daa3 476b9b622e73be00871467521a7c0eab8fb8d867 555abf17c7cd5c29b20cc911898feb517b7b2f85 6b7534835256c7381bcd1e04cda3afce77caaf8d 6bd24cf00450f77ce0ee24b57782690bdfeaba67 78b4febd920c8fb72f287e9c3a57826b8f826979 9e74bdac9c9c4418388a70db9cb2f335877ea85b b78de73f8bdad5fc423d9e62e4e8e2a5fdf8164c bc9e3fba00913eab4291d26267c4aab38b53d4e9 c8ac1285145fecf98115c28e5da87b434e5a0478 cb130d74208f9667b86a5e5e15c0af5889941732 d0b35867ca7719b1a54f6cdde3c2e7db845dbb9c e3e7de513cfd64a9bbe0ef9c3e63934d2f8bc295 ebe999f00a3b833e29f3cd8bba85dd1342c79cfb efbe82c766abe49c444db107bf7683e277f50119 fe08682bf98558da4be2e98c7ef12213f8b821c1 Package: python-statsmodels-lib Architecture: amd64 Version: 0.9.0-0+Debian.buster.testing Priority: optional Section: python Source: statsmodels (0.9.0-0) Maintainer: Debian Science Maintainers Installed-Size: 7162 Depends: python-numpy (>= 1:1.14.3), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7~), libc6 (>= 2.27) Breaks: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Replaces: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Filename: pool-buster/statsmodel/statsmodel/python-statsmodels-lib_0.9.0-0+Debian.buster.testing_amd64.deb Size: 1250612 MD5sum: a0e789499fcd115d89c134af2b5da44f SHA1: bb7e0269cc507710af149c0d5bb4ace680ab8040 SHA256: eec1a90d3040063add3dfe972b4c7061aae802871eef8ce07be453a2e80d0a31 SHA512: 078eee82d21b08ff9daec2310cfbc92d5a3f83c3c78f942fdd4e90c4e47783f71290e80a184765142607898331ecd84b30b5a3f4dad318486f99ce1a71e2ab2e 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: 0.9.0-0+Debian.buster.testing Priority: optional Section: python Source: statsmodels (0.9.0-0) Maintainer: Debian Science Maintainers Installed-Size: 21385 Provides: python2.7-statsmodels Depends: python-numpy, python:any (<< 2.8), python:any (>= 2.7~), 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-buster/statsmodel/statsmodel/python-statsmodels_0.9.0-0+Debian.buster.testing_all.deb Size: 6531880 MD5sum: 9f9a608a4ad345a1b13c0d15f156cc05 SHA1: 71328f4bbf7143307b8600ffbc5cec2916c0bd2c SHA256: f3855935742f06d911fbcb7a222654987bbc60bf74896b7285069daa7e3fb0f7 SHA512: a72234a7c6b39c2eaca9652db1e313790aef7b4e5ed58895fc0629d17e86caa65193c8bf04f42989a63e25d12c789b980cd248e5f3b0464d9975c24c968ac27f 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: 0.9.0-0+Debian.buster.testing Auto-Built-Package: debug-symbols Priority: optional Section: debug Source: statsmodels (0.9.0-0) Maintainer: Debian Science Maintainers Installed-Size: 15772 Depends: python3-statsmodels-lib (= 0.9.0-0+Debian.buster.testing) Filename: pool-buster/statsmodel/statsmodel/python3-statsmodels-lib-dbgsym_0.9.0-0+Debian.buster.testing_amd64.deb Size: 14007064 MD5sum: 8d01544051efa96c44d9f34ab9144a56 SHA1: 8929aa5071a2a75372216f27f770c9c1cb51635b SHA256: 77b661915bd5fd21a021ff7f4fa6d9761256d1001265025f24935b87ae18cfe3 SHA512: e83e6c639c5286db655df15e3f7a0cd52d4e76d1f24a67ea09264d4285afd82394f42385384e9ed3d9af59e8a8db81a5a352b0fd34bfcde89448903bf5f03539 Description: debug symbols for python3-statsmodels-lib Build-Ids: 02c17389fd9debf777da1aac0b0faf85d16456e9 0a52a66d5074755c8c593748141bcbb76e56269e 0ea90a3cb5c14cf0d1ec81e7b53056252277e78f 231b52ff3388ee982abd8540769c0885f26e8169 31540cabb7d68656e1b0d1fb7eec62b4ee227157 358a7253eac097a9884b55346c97ea8a94c0a04b 370b46fc186a85cd3794c8d0d4334414bdcd6e87 38d39273483ef564700eb279a4d6007fa3aa00b2 3b3f289cc51c7ae9cb8897905d51ee5e4860aeed 3ce06f5e1c631146af2b188ad21836b70bf9a2fa 520db9f1126459fd9608feb2b8b45fcac2b467ad 69e1e20edfa3993e5e56f5cb424d6a9c983bb1dc 6a6e51633749302583f3f7cc05a3be18db783f03 6a8c994b331bda133ab419a56784e5dd12500d9c 71e48d70280dd55472505ec1f0e0ed025f163822 8012927bbfd148fa5437a2397bf5cab800365a5f 838f6ba362199d51dc4a1b5e44bb1566ea694d79 96c78c2659e7c82f6ded0825f98d76c1ed5e0fe7 9948c77b923ef53201dfb2a7bad0347bd6f1b974 a17e0ece3a88a641a242655affda6f9931ce736c a6f3a3f799f31414fb5bec9b0533968a0e0a46b5 aecdddcd3924236dd912ff3443f60e045c950bad afdedbadbb83a30fbd77aac300a44387018ad35f b3ca010faf85ebe760644fd8f25f6517b80431a1 ca50df9cb69eb6a10a2e2e3104c719e17a7acc3a cd0571a4cb7239642011c8705e0f3380d43232d8 cfb4ce8ace0de90cec541a59c5d233c2885c9ff4 d064b89b8ca62f415d61f0018b2d0df456cb3913 d4ceb52a9867cb84d056a211e3783e6e514c97b3 d6c4600b731fe4f5d03d654e677b0305a0744279 d9e39b8d7319905d632dde464498522a321fe563 dc4606ca210406c7f415abc96b4d3aee4eada138 e89e1741f86725e22b96697645bd5b23057e088a fb2a0aee693c34616f504337931f36a07c7f9210 fd7b90141df92f46cc69fd33c347389bbc1c8995 fe1c901287e396e305b2958618b287577bc6d745 Package: python3-statsmodels-lib Architecture: amd64 Version: 0.9.0-0+Debian.buster.testing Priority: optional Section: python Source: statsmodels (0.9.0-0) Maintainer: Debian Science Maintainers Installed-Size: 13965 Depends: python3-numpy (>= 1:1.14.3), python3-numpy-abi9, python3 (<< 3.8), python3 (>= 3.6~), libc6 (>= 2.27) Filename: pool-buster/statsmodel/statsmodel/python3-statsmodels-lib_0.9.0-0+Debian.buster.testing_amd64.deb Size: 1990184 MD5sum: 0e6f9c8e1b142ac6779fa7bfe6e39cc4 SHA1: e99690791de339575421dde6f339cc212188a512 SHA256: a1661849a219fc9938dcd9a883d9b40db8cf6496b56733d4cdb12e0f58390d14 SHA512: ce6e58e1761db85559773fa4ece87ae2b4ba8bdf70b6da563e72314fc3fa6d901bef307a24f8a15cd2e82ad7f81b60bf992d505a301e5935c24f732749bd6d1d 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: 0.9.0-0+Debian.buster.testing Priority: optional Section: python Source: statsmodels (0.9.0-0) Maintainer: Debian Science Maintainers Installed-Size: 18196 Depends: python3-numpy, python3:any, 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-buster/statsmodel/statsmodel/python3-statsmodels_0.9.0-0+Debian.buster.testing_all.deb Size: 3430576 MD5sum: 0a7e0d356438438c9e6df1cc2d1d0474 SHA1: a7554e6368b049efaa4e278e3cb7e0bdce583767 SHA256: 2729cf0fdf28d0e78700ca276d035c9fea6e97bd5bcab7da2364ef71ec8d8792 SHA512: 4a2d8f94449bbdd7065974055586a85570f1b7acab51c26399fca7cdf0763c9130bf9201ccff6efdfe92d66d4c0b91fc1223b368879e4b9e349c65152b72ed0b 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-torchsummary Architecture: all Version: 1.2.0+3.5-0+Debian.10.buster Priority: optional Section: python Source: torch-summary (1.2.0+3.5-0) Maintainer: Adam Cecile Installed-Size: 59 Depends: python3:any Filename: pool-buster/torch-summary/python3-torchsummary_1.2.0+3.5-0+Debian.10.buster_all.deb Size: 15606 MD5sum: 8c787b0a69afea9178c02322cc7d829d SHA1: 83a14b57bcdcc38482914d3dc1d77046fa346eea SHA256: 72a7db021c07b0af9f4c5fcf390770821e6dc6639f1f1f9e46b48a4d07eb6fa7 SHA512: bb46b881bf762ecfaa58cb76597f0ac05c5e5d74bf243a61bf613c2931c87b05f6e8764d1366ff2d101bdacda2760b988daa209667196bba07ac7dccb531b5e6 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.