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da653ccdac
* update onnx-tensorrt submodule to trt7 branch * add fp16 option for TRT7 * switch to master branch of onnx tensorrt * update submodule * update to TensorRT7.0.0.11 * update to onnx-tensorrt for TensorRT7.0 * switch to private branch due to issues in master branch * remove trt_onnxify * disable warnings c4804 for TensorRT parser * disable warnings c4702 for TensorRT parser * add back sanity check of shape tensort input in the parser * disable some warnings for TensorRT7 * change fp16 threshold for TensorRT * update onn-tensorrt parser * fix cycle issue in faster-rcnn and add cycle detection in GetCapability * Update TensorRT container to v20.01 * Update TensorRT image name * Update linux-multi-gpu-tensorrt-ci-pipeline.yml * Update linux-gpu-tensorrt-ci-pipeline.yml * disable rnn tests for TensorRT * disable rnn tests for TensorRT * disabled some unit test for TensorRT * update onnx-tensorrt submodule * update build scripts for TensorRT * formating the code * Update TensorRT-ExecutionProvider.md * Update BUILD.md * Update tensorrt_execution_provider.h * Update tensorrt_execution_provider.cc * Update win-gpu-tensorrt-ci-pipeline.yml * use GetEnvironmentVar function to get env virables and switch to Win-GPU-2019 agent pool for win CI build * change tensorrt path * change tensorrt path * fix win ci build issue * update code based on the reviews * fix build issue * roll back to cuda10.0 * add RemoveCycleTest for TensorRT * fix windows ci build issues * fix ci build issues * fix file permission * fix out of range issue for max_workspace_size_env
30 lines
1.2 KiB
Text
30 lines
1.2 KiB
Text
# Tag: nvcr.io/nvidia/tensorrt:20.01-py3
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# Label: com.nvidia.cuda.version: 10.2.89
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# Label: com.nvidia.cudnn.version: 7.6.5
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# Ubuntu 18.04
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FROM nvcr.io/nvidia/tensorrt:20.01-py3
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ARG PYTHON_VERSION=3.6
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ADD scripts /tmp/scripts
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RUN /tmp/scripts/install_ubuntu.sh -p $PYTHON_VERSION && /tmp/scripts/install_deps.sh -p $PYTHON_VERSION && rm -rf /tmp/scripts \
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&& rm /usr/local/bin/cmake && rm /usr/local/bin/ctest && rm -r /usr/local/share/cmake-3.12
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WORKDIR /root
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# Allow configure to pick up GDK and CuDNN where it expects it.
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# (Note: $CUDNN_VERSION is defined by NVidia's base image)
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RUN _CUDNN_VERSION=$(echo $CUDNN_VERSION | cut -d. -f1-2) && \
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mkdir -p /usr/local/cudnn-$_CUDNN_VERSION/cuda/include && \
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ln -s /usr/include/cudnn.h /usr/local/cudnn-$_CUDNN_VERSION/cuda/include/cudnn.h && \
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mkdir -p /usr/local/cudnn-$_CUDNN_VERSION/cuda/lib64 && \
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ln -s /etc/alternatives/libcudnn_so /usr/local/cudnn-$_CUDNN_VERSION/cuda/lib64/libcudnn.so && \
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ln -s /usr/local/cudnn{-$_CUDNN_VERSION,}
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ENV LD_LIBRARY_PATH /usr/local/openblas/lib:$LD_LIBRARY_PATH
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ARG BUILD_USER=onnxruntimedev
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ARG BUILD_UID=1000
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WORKDIR /home/$BUILD_USER
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RUN adduser --gecos 'onnxruntime Build User' --disabled-password $BUILD_USER --uid $BUILD_UID
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USER $BUILD_USER
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