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Build trt libyolo_layer.so in container
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@ -253,8 +253,16 @@ FROM deps AS frigate
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WORKDIR /opt/frigate/
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COPY --from=rootfs / /
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# Build TensorRT-specific library
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FROM nvcr.io/nvidia/tensorrt:23.05-py3 AS trt-deps
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RUN --mount=type=bind,source=docker/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 frigate AS frigate-tensorrt
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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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ln -s libnvrtc.so.11.2 /usr/local/lib/python3.9/dist-packages/nvidia/cuda_nvrtc/lib/libnvrtc.so && \
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@ -263,5 +271,6 @@ RUN --mount=type=bind,from=trt-wheels,source=/trt-wheels,target=/deps/trt-wheels
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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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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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10
docker/tensorrt_libyolo.sh
Executable file
10
docker/tensorrt_libyolo.sh
Executable file
@ -0,0 +1,10 @@
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#!/bin/bash
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set -euxo pipefail
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# Clone tensorrt_demos repo
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git clone --depth 1 https://github.com/yeahme49/tensorrt_demos.git
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# Build libyolo
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cd ./tensorrt_demos/plugins && make all
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cp libyolo_layer.so /usr/local/lib/libyolo_layer.so
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