DeepLearningExamples/PyTorch/SpeechRecognition/Jasper/external/Dockerfile.client.patched
2020-08-05 16:44:50 +02:00

96 lines
3.7 KiB
Docker

# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
# * Neither the name of NVIDIA CORPORATION nor the names of its
# contributors may be used to endorse or promote products derived
# from this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
# EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
# PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
# OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
# Default setting is building on nvidia/cuda:10.1-devel-ubuntu18.04
ARG BASE_IMAGE=nvidia/cuda:10.1-devel-ubuntu18.04
FROM ${BASE_IMAGE}
# Default to use Python3. Allowed values are "2" and "3".
ARG PYVER=3
# Ensure apt-get won't prompt for selecting options
ENV DEBIAN_FRONTEND=noninteractive
ENV PYVER=$PYVER
RUN PYSFX=`[ "$PYVER" != "2" ] && echo "$PYVER" || echo ""` && \
apt-get update && \
apt-get install -y --no-install-recommends \
software-properties-common \
autoconf \
automake \
build-essential \
cmake \
curl \
git \
libopencv-dev \
libopencv-core-dev \
libssl-dev \
libtool \
pkg-config \
python${PYSFX} \
python${PYSFX}-pip \
python${PYSFX}-dev && \
pip${PYSFX} install --upgrade setuptools wheel
RUN PYSFX=`[ "$PYVER" != "2" ] && echo "$PYVER" || echo ""` && \
pip${PYSFX} install --upgrade grpcio-tools
# Build expects "python" executable (not python3).
RUN rm -f /usr/bin/python && \
ln -s /usr/bin/python$PYVER /usr/bin/python
# Build the client library and examples
WORKDIR /workspace
COPY VERSION .
COPY build build
COPY src/clients src/clients
COPY src/core src/core
RUN cd build && \
cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX:PATH=/workspace/install && \
make -j16 trtis-clients
RUN cd install && \
export VERSION=`cat /workspace/VERSION` && \
tar zcf /workspace/v$VERSION.clients.tar.gz *
# For CI testing need to install a test script.
COPY qa/L0_client_tar/test.sh /tmp/test.sh
# Install an image needed by the quickstart and other documentation.
COPY qa/images/mug.jpg images/mug.jpg
# Install the dependencies needed to run the client examples. These
# are not needed for building but including them allows this image to
# be used to run the client examples. The special upgrade and handling
# of pip is needed to get numpy to install correctly with python2 on
# ubuntu 16.04.
RUN python -m pip install --user --upgrade pip && \
python -m pip install --upgrade install/python/tensorrtserver-*.whl numpy pillow
ENV PATH //workspace/install/bin:${PATH}
ENV LD_LIBRARY_PATH /workspace/install/lib:${LD_LIBRARY_PATH}