Remove unused docker files.

PiperOrigin-RevId: 211115883

1 files changed, 0 insertions, 124 deletions

diff --git a/tensorflow/tools/docker/Dockerfile.devel-gpu-cuda9-cudnn7 b/tensorflow/tools/docker/Dockerfile.devel-gpu-cuda9-cudnn7
deleted file mode 100644
index 62b04fe540..0000000000
--- a/tensorflow/tools/docker/Dockerfile.devel-gpu-cuda9-cudnn7
+++ /dev/null
@@ -1,124 +0,0 @@
-FROM nvidia/cuda:9.0-cudnn7-devel-ubuntu16.04
-
-LABEL maintainer="Gunhan Gulsoy <gunan@google.com>"
-
-# It is possible to override these for releases.
-ARG TF_BRANCH=master
-ARG BAZEL_VERSION=0.15.0
-ARG TF_AVAILABLE_CPUS=32
-
-RUN apt-get update && apt-get install -y --no-install-recommends \
-        build-essential \
-        curl \
-        git \
-        golang \
-        libcurl3-dev \
-        libfreetype6-dev \
-        libpng12-dev \
-        libzmq3-dev \
-        pkg-config \
-        python-dev \
-        python-pip \
-        rsync \
-        software-properties-common \
-        unzip \
-        zip \
-        zlib1g-dev \
-        openjdk-8-jdk \
-        openjdk-8-jre-headless \
-        wget \
-        && \
-    apt-get clean && \
-    rm -rf /var/lib/apt/lists/*
-
-RUN apt-get update && \
-        apt-get install nvinfer-runtime-trt-repo-ubuntu1604-4.0.1-ga-cuda9.0 && \
-        apt-get update && \
-        apt-get install libnvinfer4=4.1.2-1+cuda9.0 && \
-        apt-get install libnvinfer-dev=4.1.2-1+cuda9.0
-
-RUN pip --no-cache-dir install --upgrade \
-        pip setuptools
-
-RUN pip --no-cache-dir install \
-        ipykernel \
-        jupyter \
-        keras_applications==1.0.5 \
-        keras_preprocessing==1.0.3 \
-        matplotlib \
-        numpy \
-        scipy \
-        sklearn \
-        pandas \
-        wheel \
-        && \
-    python -m ipykernel.kernelspec
-
-# Set up our notebook config.
-COPY jupyter_notebook_config.py /root/.jupyter/
-
-# Jupyter has issues with being run directly:
-#   https://github.com/ipython/ipython/issues/7062
-# We just add a little wrapper script.
-COPY run_jupyter.sh /
-
-# Set up Bazel.
-
-# Running bazel inside a `docker build` command causes trouble, cf:
-#   https://github.com/bazelbuild/bazel/issues/134
-# The easiest solution is to set up a bazelrc file forcing --batch.
-RUN echo "startup --batch" >>/etc/bazel.bazelrc
-# Similarly, we need to workaround sandboxing issues:
-#   https://github.com/bazelbuild/bazel/issues/418
-RUN echo "build --spawn_strategy=standalone --genrule_strategy=standalone" \
-    >>/etc/bazel.bazelrc
-WORKDIR /
-RUN mkdir /bazel && \
-    cd /bazel && \
-    wget --quiet https://github.com/bazelbuild/bazel/releases/download/$BAZEL_VERSION/bazel-$BAZEL_VERSION-installer-linux-x86_64.sh && \
-    wget --quiet https://raw.githubusercontent.com/bazelbuild/bazel/master/LICENSE && \
-    chmod +x bazel-*.sh && \
-    ./bazel-$BAZEL_VERSION-installer-linux-x86_64.sh && \
-    rm -f /bazel/bazel-$BAZEL_VERSION-installer-linux-x86_64.sh
-
-# Download and build TensorFlow.
-WORKDIR /
-RUN git clone https://github.com/tensorflow/tensorflow.git && \
-    cd tensorflow && \
-    git checkout ${TF_BRANCH}
-WORKDIR /tensorflow
-
-# Configure the build for our CUDA configuration.
-ENV CI_BUILD_PYTHON=python \
-    LD_LIBRARY_PATH=/usr/local/cuda/extras/CUPTI/lib64:${LD_LIBRARY_PATH} \
-    CUDNN_INSTALL_PATH=/usr/lib/x86_64-linux-gnu \
-    PYTHON_BIN_PATH=/usr/bin/python \
-    PYTHON_LIB_PATH=/usr/local/lib/python2.7/dist-packages \
-    TF_NEED_CUDA=1 \
-    TF_NEED_TENSORRT 1 \
-    TF_CUDA_VERSION=9.0 \
-    TF_CUDA_COMPUTE_CAPABILITIES=3.0,3.5,5.2,6.0,6.1,7.0 \
-    TF_CUDNN_VERSION=7
-RUN ./configure
-
-# Build and Install TensorFlow.
-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:${LD_LIBRARY_PATH} \
-    bazel build -c opt \
-                --config=cuda \
-                --cxxopt="-D_GLIBCXX_USE_CXX11_ABI=0" \
-                --jobs=${TF_AVAILABLE_CPUS} \
-                tensorflow/tools/pip_package:build_pip_package && \
-    mkdir /pip_pkg && \
-    bazel-bin/tensorflow/tools/pip_package/build_pip_package /pip_pkg && \
-    pip --no-cache-dir install --upgrade /pip_pkg/tensorflow-*.whl && \
-    rm -rf /pip_pkg && \
-    rm -rf /root/.cache
-# Clean up pip wheel and Bazel cache when done.
-
-WORKDIR /root
-
-# TensorBoard
-EXPOSE 6006
-# IPython
-EXPOSE 8888