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Dockerfile.tensorflow
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Dockerfile.tensorflow
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# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# 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.
ARG BASE_IMAGE
FROM ${BASE_IMAGE}
#
# setup environment
#
ENV DEBIAN_FRONTEND=noninteractive
ARG HDF5_DIR="/usr/lib/aarch64-linux-gnu/hdf5/serial/"
ARG MAKEFLAGS=-j$(nproc)
RUN printenv
#
# install prerequisites - https://docs.nvidia.com/deeplearning/frameworks/install-tf-jetson-platform/index.html#prereqs
#
RUN apt-get update && \
apt-get install -y --no-install-recommends \
python3-pip \
python3-dev \
gfortran \
build-essential \
liblapack-dev \
libblas-dev \
libhdf5-serial-dev \
hdf5-tools \
libhdf5-dev \
zlib1g-dev \
zip \
unzip \
libjpeg8-dev \
autoconf \
automake \
libtool \
curl \
make \
g++ \
&& rm -rf /var/lib/apt/lists/* \
&& apt-get clean
RUN pip3 install --no-cache-dir setuptools Cython wheel
#
# build protobuf using cpp implementation
# https://jkjung-avt.github.io/tf-trt-revisited/
#
ARG PROTOBUF_VERSION=3.19.4
ARG PROTOBUF_URL=https://github.com/protocolbuffers/protobuf/releases/download/v${PROTOBUF_VERSION}
ARG PROTOBUF_DIR=protobuf-python-${PROTOBUF_VERSION}
ARG PROTOC_DIR=protoc-${PROTOBUF_VERSION}-linux-aarch_64
ENV PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=cpp
RUN cd /tmp && \
wget --quiet --show-progress --progress=bar:force:noscroll --no-check-certificate ${PROTOBUF_URL}/$PROTOBUF_DIR.zip && \
wget --quiet --show-progress --progress=bar:force:noscroll --no-check-certificate ${PROTOBUF_URL}/$PROTOC_DIR.zip && \
unzip ${PROTOBUF_DIR}.zip -d ${PROTOBUF_DIR} && \
unzip ${PROTOC_DIR}.zip -d ${PROTOC_DIR} && \
cp ${PROTOC_DIR}/bin/protoc /usr/local/bin/protoc && \
cd ${PROTOBUF_DIR}/protobuf-${PROTOBUF_VERSION} && \
./autogen.sh && \
./configure --prefix=/usr/local && \
make -j$(nproc) && \
make check -j4 && \
make install && \
ldconfig && \
cd python && \
python3 setup.py build --cpp_implementation && \
python3 setup.py test --cpp_implementation && \
python3 setup.py bdist_wheel --cpp_implementation && \
cp dist/*.whl /opt && \
pip3 install dist/*.whl && \
cd ../../../ && \
rm ${PROTOBUF_DIR}.zip && \
rm ${PROTOC_DIR}.zip && \
rm -rf ${PROTOBUF_DIR} && \
rm -rf ${PROTOC_DIR}
#RUN python3 setup.py install --cpp_implementation && \
#RUN pip3 install protobuf==${PROTOBUF_VERSION} --install-option="--cpp_implementation" --no-cache-dir --verbose
RUN pip3 show protobuf && \
protoc --version
#
# install Python TF dependencies
#
RUN pip3 install --no-cache-dir --verbose numpy
RUN H5PY_SETUP_REQUIRES=0 pip3 install --no-cache-dir --verbose h5py==3.1.0
RUN pip3 install --no-cache-dir --verbose future==0.18.2 mock==3.0.5 keras_preprocessing==1.1.2 keras_applications==1.0.8 gast==0.4.0 futures pybind11
#
# TensorFlow
#
ARG TENSORFLOW_URL=https://developer.download.nvidia.com/compute/redist/jp/v44/tensorflow/tensorflow-1.15.3+nv20.9-cp36-cp36m-linux_aarch64.whl
ARG TENSORFLOW_WHL=tensorflow-1.15.3+nv20.9-cp36-cp36m-linux_aarch64.whl
RUN wget --quiet --show-progress --progress=bar:force:noscroll --no-check-certificate ${TENSORFLOW_URL} -O ${TENSORFLOW_WHL} && \
pip3 install --no-cache-dir --verbose ${TENSORFLOW_WHL} && \
rm ${TENSORFLOW_WHL}
#
# PyCUDA
#
ENV PATH="/usr/local/cuda/bin:${PATH}"
ENV LD_LIBRARY_PATH="/usr/local/cuda/lib64:${LD_LIBRARY_PATH}"
RUN echo "$PATH" && echo "$LD_LIBRARY_PATH"
RUN pip3 install --no-cache-dir --verbose pycuda six