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Refactor cudnn to only be used in amd64

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This commit is contained in:
Nicolas Mowen 2024-09-16 14:47:25 -06:00
parent 9322ef8f74
commit e31832feae
2 changed files with 17 additions and 8 deletions
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15
docker/tensorrt/Dockerfile.amd64
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@ -12,6 +12,20 @@ ARG TARGETARCH
COPY docker/tensorrt/requirements-amd64.txt /requirements-tensorrt.txt COPY docker/tensorrt/requirements-amd64.txt /requirements-tensorrt.txt
RUN mkdir -p /trt-wheels && pip3 wheel --wheel-dir=/trt-wheels -r /requirements-tensorrt.txt RUN mkdir -p /trt-wheels && pip3 wheel --wheel-dir=/trt-wheels -r /requirements-tensorrt.txt
# Build TensorRT-specific library
FROM tensorrt-base AS cudnn-deps
ARG COMPUTE_LEVEL
RUN apt-get update \
&& apt-get install -y git build-essential cuda-nvcc-* cuda-nvtx-* libnvinfer-dev libnvinfer-plugin-dev libnvparsers-dev libnvonnxparsers-dev
RUN wget https://developer.download.nvidia.com/compute/cuda/repos/debian11/x86_64/cuda-keyring_1.1-1_all.deb \
&& dpkg -i cuda-keyring_1.1-1_all.deb \
&& apt-get update \
&& apt-get -y install cuda-toolkit \
&& rm -rf /var/lib/apt/lists/*
FROM tensorrt-base AS frigate-tensorrt FROM tensorrt-base AS frigate-tensorrt
ENV TRT_VER=8.5.3 ENV TRT_VER=8.5.3
RUN --mount=type=bind,from=trt-wheels,source=/trt-wheels,target=/deps/trt-wheels \ RUN --mount=type=bind,from=trt-wheels,source=/trt-wheels,target=/deps/trt-wheels \
@ -27,6 +41,7 @@ FROM devcontainer AS devcontainer-trt
COPY --from=trt-deps /usr/local/lib/libyolo_layer.so /usr/local/lib/libyolo_layer.so COPY --from=trt-deps /usr/local/lib/libyolo_layer.so /usr/local/lib/libyolo_layer.so
COPY --from=trt-deps /usr/local/src/tensorrt_demos /usr/local/src/tensorrt_demos COPY --from=trt-deps /usr/local/src/tensorrt_demos /usr/local/src/tensorrt_demos
COPY --from=cudnn-deps /usr/local/cuda-12.6 /usr/local/cuda
COPY docker/tensorrt/detector/rootfs/ / COPY docker/tensorrt/detector/rootfs/ /
COPY --from=trt-deps /usr/local/lib/libyolo_layer.so /usr/local/lib/libyolo_layer.so COPY --from=trt-deps /usr/local/lib/libyolo_layer.so /usr/local/lib/libyolo_layer.so
RUN --mount=type=bind,from=trt-wheels,source=/trt-wheels,target=/deps/trt-wheels \ RUN --mount=type=bind,from=trt-wheels,source=/trt-wheels,target=/deps/trt-wheels \

10
docker/tensorrt/Dockerfile.base
View File

@ -11,13 +11,8 @@ FROM ${TRT_BASE} AS trt-deps
ARG COMPUTE_LEVEL ARG COMPUTE_LEVEL
RUN apt-get update \ RUN apt-get update \
&& apt-get install -y git build-essential cuda-nvcc-* cuda-nvtx-* libnvinfer-dev libnvinfer-plugin-dev libnvparsers-dev libnvonnxparsers-dev && apt-get install -y git build-essential cuda-nvcc-* cuda-nvtx-* libnvinfer-dev libnvinfer-plugin-dev libnvparsers-dev libnvonnxparsers-dev \
&& rm -rf /var/lib/apt/lists/*
RUN wget https://developer.download.nvidia.com/compute/cuda/repos/debian11/x86_64/cuda-keyring_1.1-1_all.deb \
&& dpkg -i cuda-keyring_1.1-1_all.deb \
&& apt-get update \
&& apt-get -y install cuda-toolkit \
&& rm -rf /var/lib/apt/lists/*
RUN --mount=type=bind,source=docker/tensorrt/detector/tensorrt_libyolo.sh,target=/tensorrt_libyolo.sh \ RUN --mount=type=bind,source=docker/tensorrt/detector/tensorrt_libyolo.sh,target=/tensorrt_libyolo.sh \
/tensorrt_libyolo.sh /tensorrt_libyolo.sh
@ -30,7 +25,6 @@ ENV S6_CMD_WAIT_FOR_SERVICES_MAXTIME=0
COPY --from=trt-deps /usr/local/lib/libyolo_layer.so /usr/local/lib/libyolo_layer.so COPY --from=trt-deps /usr/local/lib/libyolo_layer.so /usr/local/lib/libyolo_layer.so
COPY --from=trt-deps /usr/local/src/tensorrt_demos /usr/local/src/tensorrt_demos COPY --from=trt-deps /usr/local/src/tensorrt_demos /usr/local/src/tensorrt_demos
COPY --from=trt-deps /usr/local/cuda-12.6 /usr/local/cuda
COPY docker/tensorrt/detector/rootfs/ / COPY docker/tensorrt/detector/rootfs/ /
ENV YOLO_MODELS="yolov7-320" ENV YOLO_MODELS="yolov7-320"