# Copyright 2016 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== # # Test server for TensorFlow GRPC server # # To build the image, use ../build_server.sh --test FROM ubuntu:16.04 LABEL maintainer="Shanqing Cai " # Pick up some TF dependencies RUN apt-get update && apt-get install -y \ curl \ dnsutils \ python \ python-dev \ python-numpy \ python-pip \ && \ apt-get clean && \ rm -rf /var/lib/apt/lists/* RUN curl -O https://bootstrap.pypa.io/get-pip.py && \ python get-pip.py && \ rm get-pip.py # Install python panda for the census wide&deep test RUN pip install --upgrade pandas==0.18.1 # Install TensorFlow wheel COPY tensorflow-*.whl / RUN pip install /tensorflow-*.whl && \ rm -f /tensorflow-*.whl # Copy files, including the GRPC server binary at # server/grpc_tensorflow_server.py ADD . /var/tf-k8s # Download MNIST data for tests RUN mkdir -p /tmp/mnist-data RUN curl -o /tmp/mnist-data/train-labels-idx1-ubyte.gz \ https://storage.googleapis.com/cvdf-datasets/mnist/train-labels-idx1-ubyte.gz RUN curl -o /tmp/mnist-data/train-images-idx3-ubyte.gz \ https://storage.googleapis.com/cvdf-datasets/mnist/train-images-idx3-ubyte.gz RUN curl -o /tmp/mnist-data/t10k-labels-idx1-ubyte.gz \ https://storage.googleapis.com/cvdf-datasets/mnist/t10k-labels-idx1-ubyte.gz RUN curl -o /tmp/mnist-data/t10k-images-idx3-ubyte.gz \ https://storage.googleapis.com/cvdf-datasets/mnist/t10k-images-idx3-ubyte.gz # Download Census data for Wide & Deep test RUN mkdir -p /tmp/census-data RUN curl -o /tmp/census-data/adult.data \ http://mlr.cs.umass.edu/ml/machine-learning-databases/adult/adult.data RUN curl -o /tmp/census-data/adult.test \ http://mlr.cs.umass.edu/ml/machine-learning-databases/adult/adult.test # Container entry point ENTRYPOINT ["/var/tf-k8s/server/grpc_tensorflow_server_wrapper.sh"]