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diff --git a/tensorflow/tools/docker/Dockerfile.cpu b/tensorflow/tools/docker/Dockerfile.cpu
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+FROM b.gcr.io/tensorflow-testing/tensorflow
+
+MAINTAINER Craig Citro <craigcitro@google.com>
+
+# Set up Bazel.
+# Install dependencies for bazel.
+RUN apt-get update && apt-get install -y \
+        g++ \
+        pkg-config \
+        python-dev \
+        python-numpy \
+        python-pip \
+        software-properties-common \
+        swig \
+        unzip \
+        wget \
+        zip \
+        zlib1g-dev \
+        && \
+    apt-get clean && \
+    rm -rf /var/lib/apt/lists/*
+
+# We need to add a custom PPA to pick up JDK8, since trusty doesn't
+# have an openjdk8 backport.  openjdk-r is maintained by a reliable contributor:
+# Matthias Klose (https://launchpad.net/~doko).  It will do until
+# we either update the base image beyond 14.04 or openjdk-8 is
+# finally backported to trusty; see e.g.
+#   https://bugs.launchpad.net/trusty-backports/+bug/1368094
+RUN add-apt-repository -y ppa:openjdk-r/ppa && \
+    apt-get update && \
+    apt-get install -y openjdk-8-jdk openjdk-8-jre-headless && \
+    apt-get clean && \
+    rm -rf /var/lib/apt/lists/*
+
+# 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" >>/root/.bazelrc
+# Similarly, we need to workaround sandboxing issues:
+#   https://github.com/bazelbuild/bazel/issues/418
+RUN echo "build --spawn_strategy=standalone --genrule_strategy=standalone" \
+    >>/root/.bazelrc
+ENV BAZELRC /root/.bazelrc
+# Install the most recent bazel release.
+ENV BAZEL_VERSION 0.1.1
+WORKDIR /
+RUN mkdir /bazel && \
+    cd /bazel && \
+    wget https://github.com/bazelbuild/bazel/releases/download/$BAZEL_VERSION/bazel-$BAZEL_VERSION-installer-linux-x86_64.sh && \
+    wget -O /bazel/LICENSE.txt https://raw.githubusercontent.com/bazelbuild/bazel/master/LICENSE.txt && \
+    chmod +x bazel-*.sh && \
+    ./bazel-$BAZEL_VERSION-installer-linux-x86_64.sh && \
+    cd / && \
+    rm -f /bazel/bazel-$BAZEL_VERSION-installer-linux-x86_64.sh
+
+# Download and build TensorFlow.
+WORKDIR /tensorflow
+
+# We can't clone the TF git repo yet, because of permissions issues.
+# RUN git clone https://tensorflow.googlesource.com/
+# Instead, we manually copy it in:
+COPY tensorflow /tensorflow
+
+# Now we build
+RUN bazel clean && \
+    bazel build -c opt tensorflow/tools/docker:simple_console
+
+ENV PYTHONPATH=/tensorflow/bazel-bin/tensorflow/tools/docker/simple_console.runfiles/:$PYTHONPATH