mirror of
https://github.com/saymrwulf/onnxruntime.git
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1c5b15c2b8
* remove memory copy between CUDA and TRT * add info to RegisterExecutionProvider input * use new IDeviceAllocator for trt allocator * remove SetDefaultInputsMemoryType from TRT EP * remove onnx-tensorrt 5.0 * add submodule onnx-tensorrt branch 5.1 * remove redundancy * Update transformer_memcpy.cc * Update tensorrt_execution_provider.cc * switch to TensorRT 5.1.5.0 * update python binding * disable failed test case on TensorRT * Update activation_op_test.cc * upgrade to TensorRT container 19.06 * update according to feedback * add comments * remove tensorrt allocator and use cuda(gpu) allocator * update onnx-tensorrt submodule * change ci build cuda directory name
30 lines
1.2 KiB
Text
30 lines
1.2 KiB
Text
# Tag: nvcr.io/nvidia/tensorrt:19.06-py3
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# Label: com.nvidia.cuda.version: 10.1.168
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# Label: com.nvidia.cudnn.version: 7.6.0
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# Ubuntu 16.04
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FROM nvcr.io/nvidia/tensorrt:19.06-py3
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ARG PYTHON_VERSION=3.5
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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 && 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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