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Dockerfile.run.tensorflow
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39 lines (31 loc) · 1.78 KB
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# Copyright (c) Microsoft Corporation
# All rights reserved.
#
# MIT License
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
# documentation files (the "Software"), to deal in the Software without restriction, including without limitation
# the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and
# to permit persons to whom the Software is furnished to do so, subject to the following conditions:
# The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED *AS IS*, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING
# BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
# DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
# tag: pai.run.tensorflow
#
# Before building this image you need to build the base image first:
#
# docker build -f Dockerfile.build.base -t pai.build.base:hadoop2.7.2-cuda8.0-cudnn6-devel-ubuntu16.04 .
FROM pai.build.base:hadoop2.7.2-cuda8.0-cudnn6-devel-ubuntu16.04
ENV TENSORFLOW_VERSION=1.4.0
# For how to run TensorFlow on Hadoop,
# please refer to https://www.tensorflow.org/deploy/hadoop
RUN pip install tensorflow-gpu==${TENSORFLOW_VERSION} && \
pip3 install tensorflow-gpu==${TENSORFLOW_VERSION}
# Add symbol link for libcuda.so
RUN ln -s /usr/local/cuda/targets/x86_64-linux/lib/stubs/libcuda.so \
/usr/local/cuda/targets/x86_64-linux/lib/stubs/libcuda.so.1
WORKDIR /root