Format: 1.8
Date: Tue, 06 Mar 2018 22:10:05 +0100
Source: python-tensorflow-cuda
Binary: python-tensorflow-avx2-sse42-fma python-tensorflow-avx2-sse42-fma-mkl-dnn python-tensorflow-cuda-avx2-sse42-fma python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn python-tensorflow-avx-sse42 python-tensorflow-cuda-avx-sse42 python3-tensorflow-avx2-sse42-fma python3-tensorflow-avx2-sse42-fma-mkl-dnn python3-tensorflow-cuda-avx2-sse42-fma python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn python3-tensorflow-cuda-avx-sse42 python3-tensorflow-avx-sse42 tensorflow-tools
Architecture: source amd64 all
Version: 1.5.0-1
Distribution: unstable
Urgency: medium
Maintainer: Adam Cecile <acecile@le-vert.net>
Changed-By: Adam Cecile <acecile@le-vert.net>
Description:
 python-tensorflow-avx-sse42 - library for numerical computation using data flow graphs (Python
 python-tensorflow-avx2-sse42-fma - library for numerical computation using data flow graphs (Python
 python-tensorflow-avx2-sse42-fma-mkl-dnn - library for numerical computation using data flow graphs (Python
 python-tensorflow-cuda-avx-sse42 - library for numerical computation using data flow graphs (Python
 python-tensorflow-cuda-avx2-sse42-fma - library for numerical computation using data flow graphs (Python
 python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn - library for numerical computation using data flow graphs (Python
 python3-tensorflow-avx-sse42 - library for numerical computation using data flow graphs (Python
 python3-tensorflow-avx2-sse42-fma - library for numerical computation using data flow graphs (Python
 python3-tensorflow-avx2-sse42-fma-mkl-dnn - library for numerical computation using data flow graphs (Python
 python3-tensorflow-cuda-avx-sse42 - library for numerical computation using data flow graphs (Python
 python3-tensorflow-cuda-avx2-sse42-fma - library for numerical computation using data flow graphs (Python
 python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn - library for numerical computation using data flow graphs (Python
 tensorflow-tools - library for numerical computation using data flow graphs (cli too
Changes:
 python-tensorflow-cuda (1.5.0-1) unstable; urgency=medium
 .
   * New upstream release.
   * Now built with libcudnn7 if CUDA >= 8.0.
   * Bump tensorboard dependencies >= 1.5.0~ and << 1.6.0~.
   * Refresh Build_with_CUDA_7.5 path (partially applied upstream).
   * Re-enable VERBS and OpenMPI support even CUDA is not enabled.
   * Minor adaptations of configure-expect.sh script for updated Bazel wizard.
   * Print summary of build options when build starts.
   * Properly pass --jobs N to bazel according to DEB_BUILD_OPTIONS=parallel=N.
   * Make sure to build with libthrust-dev (>= 1.8.1) on Debian Jessie.
   * Add python-absl (>= 0.1.6~) runtime depdency.
   * Bump python-protobuf dependency to (>= 3.4.0).
   * Require gcc-6/g++-6 instead of 4.9 for newer distribs with CUDA >= 9.0.
   * Define compute level for CUDA 9.1 in debian/rules.
   * Define CUDACC/CUDACXX variables in debian/rules and pass them to
     configure-expect.sh using $::env(VAR).
   * Add python-enum34 dependency for python2 builds.
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