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This TRT version uses a mixture of cuda dependencies
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@ -283,7 +283,6 @@ COPY docker/support/tensorrt_detector/rootfs/ /
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RUN --mount=type=bind,from=trt-wheels,source=/trt-wheels,target=/deps/trt-wheels \
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pip3 install -U /deps/trt-wheels/*.whl && \
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ln -s libnvrtc.so.12 /usr/local/lib/python3.9/dist-packages/nvidia/cuda_nvrtc/lib/libnvrtc.so && \
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ldconfig
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# Dev Container w/ TRT
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@ -2,11 +2,11 @@
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--extra-index-url 'https://pypi.nvidia.com'
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numpy < 1.24; platform_machine == 'x86_64'
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tensorrt == 8.5.3.*; platform_machine == 'x86_64'
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cuda-python == 12.1; platform_machine == 'x86_64'
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cuda-python == 11.8; platform_machine == 'x86_64'
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cython == 0.29.*; platform_machine == 'x86_64'
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nvidia-cuda-runtime-cu12 == 12.1.*; platform_machine == 'x86_64'
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nvidia-cublas-cu12 == 12.1.*; platform_machine == 'x86_64'
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nvidia-cudnn-cu12 == 8.8.*; platform_machine == 'x86_64'
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nvidia-cuda-nvrtc-cu12 == 12.1.*; platform_machine == 'x86_64'
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nvidia-cuda-runtime-cu11 == 11.8.*; platform_machine == 'x86_64'
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nvidia-cublas-cu11 == 11.11.3.6; platform_machine == 'x86_64'
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nvidia-cudnn-cu11 == 8.6.0.*; platform_machine == 'x86_64'
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onnx==1.14.0; platform_machine == 'x86_64'
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protobuf==3.20.3; platform_machine == 'x86_64'
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