Format: 1.8 Date: Thu, 15 Nov 2018 18:18:53 +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: 1.8.0-2 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 (1.8.0-2) unstable; urgency=medium . * Rebuild with Intel MKL-DNN << 0.14~: Workaround https://github.com/tensorflow/tensorflow/issues/17494 Checksums-Sha1: b3ae660d39339ca24cc3936eb167ee9eaa671a41 3758 python-tensorflow-cuda_1.8.0-2.dsc 34915be144281db5f6ea4f92bf611e6f2daa0d80 30348 python-tensorflow-cuda_1.8.0-2.debian.tar.xz ad4f94a6d86f3396e852f8b4abccad83af3e1d2a 35573096 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 d8173b58eda96f5c8525b94f54abfd9546996a11 37349064 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 9e84dda0649d0e7f4ae810f39f87dfb980351edd 35662724 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 2d1db4ebcf6c8764d3478add9a37c746dadf34a4 91565064 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