Format: 1.8 Date: Mon, 27 May 2019 19:24:15 +0200 Source: python-tensorflow-cuda Binary: python-tensorflow-avx-sse42 python-tensorflow-avx2-sse42-fma python-tensorflow-avx2-sse42-fma-mkl-dnn python-tensorflow-cuda-avx-sse42 python-tensorflow-cuda-avx2-sse42-fma python-tensorflow-cuda-avx2-sse42-fma-mkl-dnn python3-tensorflow-avx-sse42 python3-tensorflow-avx2-sse42-fma python3-tensorflow-avx2-sse42-fma-mkl-dnn python3-tensorflow-cuda-avx-sse42 python3-tensorflow-cuda-avx2-sse42-fma python3-tensorflow-cuda-avx2-sse42-fma-mkl-dnn tensorflow-tools Architecture: source amd64 all Version: 1.12.2-1 Distribution: unstable Urgency: medium Maintainer: Adam Cecile Changed-By: Adam Cecile 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 (1.12.2-1) unstable; urgency=medium . * New upstream release. * Call bazel build with --define grpc_no_ares=true to fix linking issue. * Add a workaround to use CUDA CC instead of default GCC if version is 7.3.x, thanks to: https://github.com/tensorflow/tensorflow/issues/25323 * Do not delete .bazelrc file from sources root anymore. 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