Format: 1.8
Date: Tue, 03 Nov 2020 18:28:13 +0100
Source: python-tensorflow-cuda
Binary: 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
Built-For-Profiles: pkg.python-tensorflow-cuda.no-cuda
Architecture: source amd64 all
Version: 1.15.4-1
Distribution: unstable
Urgency: medium
Maintainer: Adam Cecile <acecile@le-vert.net>
Changed-By: Adam Cecile <acecile@le-vert.net>
Description:
 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 (1.15.4-1) unstable; urgency=medium
 .
   * New upstream release.
   * Refresh patches.
   * Bump bazel dependency, now wants >= 0.26.1~ and << 0.27~.
   * Split build targets so each Python version have a stamp to be able
     to rebuild without what has been done successfully already.
   * Bump python3-keras-applications >= 1.0.8~ build and runtime dependency.
   * Bump python3-gast >= 0.2.2~ runtime dependency.
   * Bump python3-protobuf >= 3.6.1~ runtime dependency.
   * Add python3-opt-einsum >= 2.3.2~ runtime dependency.
   * Add python3-wrapt >= 1.11.1 runtime dependency.
   * Fix debian/rules because most files have now moved in a tensorflow_core
     package.
   * Update Patch_so_loader_to_use_soabi_version, .so loading code has been
     duplicated somewhere else.
   * Add git build dependency (used to clone external libs).
   * Re-enable CUDA 9.1 support.
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