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4f855f82ea
* Remove unneccessary trt wheels build * Cleanup * Try without local cuda * Keep specific cuda libs only * Cleanup * Add newer libcufft * remove target * Include more
38 lines
1.4 KiB
Docker
38 lines
1.4 KiB
Docker
# syntax=docker/dockerfile:1.6
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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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ARG TRT_BASE=nvcr.io/nvidia/tensorrt:23.12-py3
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# Build TensorRT-specific library
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FROM ${TRT_BASE} AS trt-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 cuda-nvcc-* cuda-nvtx-* libnvinfer-dev libnvinfer-plugin-dev libnvparsers-dev libnvonnxparsers-dev \
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&& rm -rf /var/lib/apt/lists/*
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RUN --mount=type=bind,source=docker/tensorrt/detector/tensorrt_libyolo.sh,target=/tensorrt_libyolo.sh \
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/tensorrt_libyolo.sh
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# Frigate w/ TensorRT Support as separate image
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FROM deps AS tensorrt-base
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#Disable S6 Global timeout
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ENV S6_CMD_WAIT_FOR_SERVICES_MAXTIME=0
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# COPY TensorRT Model Generation Deps
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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 Individual CUDA deps
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COPY --from=trt-deps /usr/local/cuda-12.3/targets/x86_64-linux/lib/libcurand.so.* /usr/local/cuda/
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COPY --from=trt-deps /usr/local/cuda-12.3/targets/x86_64-linux/lib/libnvrtc.so.* /usr/local/cuda/
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COPY docker/tensorrt/detector/rootfs/ /
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ENV YOLO_MODELS=""
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HEALTHCHECK --start-period=600s --start-interval=5s --interval=15s --timeout=5s --retries=3 \
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CMD curl --fail --silent --show-error http://127.0.0.1:5000/api/version || exit 1
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