onnxruntime/tools/ci_build/github/linux/docker/Dockerfile.ubuntu_tensorrt
stevenlix 77c69a0325
Upgrade TensorRT to v7.1.3.4 (#4704)
* upgrade to TensorRT 7.1.3.4

* Upgrade onnx-tensorrt parser for TensorRT 7.1.3.4

* fix format issue

* fix format issue

* fix format issue

* Update tensorrt_execution_provider.cc

* change cmake version to 3.14

* Remove --msvc_toolset 14.16

* change to onnxruntime::make_unique

* use onnxruntime::make_unique

* disable some tests for TensorRT

* disable some tests for TensorRT

* Update upsample_op_test.cc

* Update tile_op_test.cc

* disable some tests for TensorRT

* Update constant_of_shape_test.cc

* update parser

* Update Dockerfile.ubuntu_tensorrt
2020-08-07 17:43:56 -07:00

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# Tag: nvcr.io/nvidia/tensorrt:20.07.1-py3
# Label: com.nvidia.cuda.version: 11.0.194
# Label: com.nvidia.cudnn.version: 8.0.1
# Ubuntu 18.04
FROM nvcr.io/nvidia/tensorrt:20.07.1-py3
ARG PYTHON_VERSION=3.6
ADD scripts /tmp/scripts
RUN /tmp/scripts/install_ubuntu.sh -p $PYTHON_VERSION && /tmp/scripts/install_deps.sh -p $PYTHON_VERSION && rm -rf /tmp/scripts \
&& rm /usr/local/bin/cmake && rm /usr/local/bin/ctest && rm -r /usr/local/share/cmake-3.14
WORKDIR /root
# Allow configure to pick up GDK and CuDNN where it expects it.
# (Note: $CUDNN_VERSION is defined by NVidia's base image)
RUN _CUDNN_VERSION=$(echo $CUDNN_VERSION | cut -d. -f1-2) && \
mkdir -p /usr/local/cudnn-$_CUDNN_VERSION/cuda/include && \
ln -s /usr/include/cudnn.h /usr/local/cudnn-$_CUDNN_VERSION/cuda/include/cudnn.h && \
mkdir -p /usr/local/cudnn-$_CUDNN_VERSION/cuda/lib64 && \
ln -s /etc/alternatives/libcudnn_so /usr/local/cudnn-$_CUDNN_VERSION/cuda/lib64/libcudnn.so && \
ln -s /usr/local/cudnn{-$_CUDNN_VERSION,}
ENV LD_LIBRARY_PATH /usr/local/openblas/lib:$LD_LIBRARY_PATH
ARG BUILD_USER=onnxruntimedev
ARG BUILD_UID=1000
WORKDIR /home/$BUILD_USER
RUN adduser --gecos 'onnxruntime Build User' --disabled-password $BUILD_USER --uid $BUILD_UID
USER $BUILD_USER