Format: 1.8 Date: Fri, 25 Jan 2019 18:55:48 +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: 1.10.1-1 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 (1.10.1-1) unstable; urgency=medium . * New upstream release. * Delete upstream merged patches: - 3eb314bbcdc6e850eefc21c7ecbd91e28bd04a70_fix_old_CUDA_detection, -1b79572c2d47c1b7d82c670c27b9641335b7c025_fix_MPI_build. * Refresh Debug_logs_when_finding_tensorrt_lib patch. * Replace Amazon S3 with Amazon AWS in configure-expect.py. * Fix improper dependency generation for TensorBoard, minor version should always be 0. * Do not run configure-expect.py with --silent. * Want Bazel >= 0.15.0, let's force version 0.17. * Merge upstream fb8d1ca4eaefe58d42c27b6fc676f64f137f4675 to fix FTBFS. 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