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Building development docker files with AVX as well. #19130

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May 7, 2018
Merged

Building development docker files with AVX as well. #19130

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2 changes: 1 addition & 1 deletion tensorflow/tools/docker/Dockerfile.devel
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Expand Up @@ -85,7 +85,7 @@ RUN git clone --branch=r1.8 --depth=1 https://github.com/tensorflow/tensorflow.g
ENV CI_BUILD_PYTHON python

RUN tensorflow/tools/ci_build/builds/configured CPU \
bazel build -c opt --cxxopt="-D_GLIBCXX_USE_CXX11_ABI=0" \
bazel build -c opt --copt=-mavx --cxxopt="-D_GLIBCXX_USE_CXX11_ABI=0" \
# For optimized builds appropriate for the hardware platform of your choosing, uncomment below...
# For ivy-bridge or sandy-bridge
# --copt=-march="ivybridge" \
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2 changes: 1 addition & 1 deletion tensorflow/tools/docker/Dockerfile.devel-gpu
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Expand Up @@ -98,7 +98,7 @@ ENV TF_CUDNN_VERSION=7
RUN ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1 && \
LD_LIBRARY_PATH=/usr/local/cuda/lib64/stubs:${LD_LIBRARY_PATH} \
tensorflow/tools/ci_build/builds/configured GPU \
bazel build -c opt --config=cuda \
bazel build -c opt --copt=-mavx --config=cuda \
--cxxopt="-D_GLIBCXX_USE_CXX11_ABI=0" \
tensorflow/tools/pip_package:build_pip_package && \
rm /usr/local/cuda/lib64/stubs/libcuda.so.1 && \
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