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https://github.com/blakeblackshear/frigate.git
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1a51ce712c
* Simplify tensorrt building * Use engine context cache
50 lines
1.8 KiB
Docker
50 lines
1.8 KiB
Docker
# syntax=docker/dockerfile:1.4
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# https://askubuntu.com/questions/972516/debian-frontend-environment-variable
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ARG DEBIAN_FRONTEND=noninteractive
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# Make this a separate target so it can be built/cached optionally
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FROM wheels as trt-wheels
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ARG DEBIAN_FRONTEND
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ARG TARGETARCH
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# Add TensorRT wheels to another folder
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COPY docker/tensorrt/requirements-amd64.txt /requirements-tensorrt.txt
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RUN mkdir -p /trt-wheels && pip3 wheel --wheel-dir=/trt-wheels -r /requirements-tensorrt.txt
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# Build CuDNN
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FROM wget AS cudnn-deps
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ARG COMPUTE_LEVEL
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RUN apt-get update \
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&& apt-get install -y git build-essential
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RUN wget https://developer.download.nvidia.com/compute/cuda/repos/debian11/x86_64/cuda-keyring_1.1-1_all.deb \
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&& dpkg -i cuda-keyring_1.1-1_all.deb \
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&& apt-get update \
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&& apt-get -y install cuda-toolkit \
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&& rm -rf /var/lib/apt/lists/*
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FROM tensorrt-base AS frigate-tensorrt
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ENV TRT_VER=8.5.3
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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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ldconfig
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COPY --from=cudnn-deps /usr/local/cuda-12.6 /usr/local/cuda
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ENV LD_LIBRARY_PATH=/usr/local/lib/python3.9/dist-packages/tensorrt:/usr/local/cuda/lib64:/usr/local/lib/python3.9/dist-packages/nvidia/cufft/lib
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WORKDIR /opt/frigate/
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COPY --from=rootfs / /
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# Dev Container w/ TRT
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FROM devcontainer AS devcontainer-trt
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COPY --from=trt-deps /usr/local/lib/libyolo_layer.so /usr/local/lib/libyolo_layer.so
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COPY --from=trt-deps /usr/local/src/tensorrt_demos /usr/local/src/tensorrt_demos
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COPY --from=cudnn-deps /usr/local/cuda-12.6 /usr/local/cuda
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COPY docker/tensorrt/detector/rootfs/ /
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COPY --from=trt-deps /usr/local/lib/libyolo_layer.so /usr/local/lib/libyolo_layer.so
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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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