blob: 69a117fda6d98d8dd9ca4a4c2bd9d3c814ae1b73 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
|
FROM nvidia/cuda:9.0-base-ubuntu16.04
LABEL maintainer="Craig Citro <craigcitro@google.com>"
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential \
cuda-command-line-tools-9-0 \
cuda-cublas-dev-9-0 \
cuda-cudart-dev-9-0 \
cuda-cufft-dev-9-0 \
cuda-curand-dev-9-0 \
cuda-cusolver-dev-9-0 \
cuda-cusparse-dev-9-0 \
curl \
git \
libcudnn7=7.2.1.38-1+cuda9.0 \
libcudnn7-dev=7.2.1.38-1+cuda9.0 \
libnccl2=2.2.13-1+cuda9.0 \
libnccl-dev=2.2.13-1+cuda9.0 \
libcurl3-dev \
libfreetype6-dev \
libhdf5-serial-dev \
libpng12-dev \
libzmq3-dev \
pkg-config \
python-dev \
rsync \
software-properties-common \
unzip \
zip \
zlib1g-dev \
wget \
&& \
rm -rf /var/lib/apt/lists/* && \
find /usr/local/cuda-9.0/lib64/ -type f -name 'lib*_static.a' -not -name 'libcudart_static.a' -delete && \
rm /usr/lib/x86_64-linux-gnu/libcudnn_static_v7.a
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
# Link NCCL libray and header where the build script expects them.
RUN mkdir /usr/local/cuda-9.0/lib && \
ln -s /usr/lib/x86_64-linux-gnu/libnccl.so.2 /usr/local/cuda/lib/libnccl.so.2 && \
ln -s /usr/include/nccl.h /usr/local/cuda/include/nccl.h
RUN curl -fSsL -O https://bootstrap.pypa.io/get-pip.py && \
python get-pip.py && \
rm get-pip.py
RUN pip --no-cache-dir install \
Pillow \
h5py \
ipykernel \
jupyter \
keras_applications \
keras_preprocessing \
matplotlib \
mock \
numpy \
scipy \
sklearn \
pandas \
&& \
python -m ipykernel.kernelspec
# RUN ln -s -f /usr/bin/python3 /usr/bin/python#
# 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
# Install the most recent bazel release.
ENV BAZEL_VERSION 0.15.0
WORKDIR /
RUN mkdir /bazel && \
cd /bazel && \
curl -H "User-Agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.133 Safari/537.36" -fSsL -O https://github.com/bazelbuild/bazel/releases/download/$BAZEL_VERSION/bazel-$BAZEL_VERSION-installer-linux-x86_64.sh && \
curl -H "User-Agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.133 Safari/537.36" -fSsL -o /bazel/LICENSE.txt https://raw.githubusercontent.com/bazelbuild/bazel/master/LICENSE && \
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
RUN git clone --branch=r1.11 --depth=1 https://github.com/tensorflow/tensorflow.git .
# Configure the build for our CUDA configuration.
ENV CI_BUILD_PYTHON python
ENV LD_LIBRARY_PATH /usr/local/cuda/extras/CUPTI/lib64:$LD_LIBRARY_PATH
ENV TF_NEED_CUDA 1
ENV TF_NEED_TENSORRT 1
ENV TF_CUDA_COMPUTE_CAPABILITIES=3.5,5.2,6.0,6.1,7.0
ENV TF_CUDA_VERSION=9.0
ENV TF_CUDNN_VERSION=7
# NCCL 2.x
ENV TF_NCCL_VERSION=2
RUN ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1 && \
LD_LIBRARY_PATH=/usr/local/cuda/lib64/stubs:${LD_LIBRARY_PATH} \
tensorflow/tools/ci_build/builds/configured GPU \
bazel build -c opt --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 && \
bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/pip && \
pip --no-cache-dir install --upgrade /tmp/pip/tensorflow-*.whl && \
rm -rf /tmp/pip && \
rm -rf /root/.cache
# Clean up pip wheel and Bazel cache when done.
WORKDIR /root
# TensorBoard
EXPOSE 6006
# IPython
EXPOSE 8888
|
