blakeblackshear.frigate/docker/tensorrt/Dockerfile.amd64

# syntax=docker/dockerfile:1.4

# https://askubuntu.com/questions/972516/debian-frontend-environment-variable
ARG DEBIAN_FRONTEND=noninteractive

ARG TRT_BASE=nvcr.io/nvidia/tensorrt:23.03-py3

# Make this a separate target so it can be built/cached optionally
FROM wheels as trt-wheels
ARG DEBIAN_FRONTEND
ARG TARGETARCH

# Add TensorRT wheels to another folder
COPY docker/tensorrt/requirements-amd64.txt /requirements-tensorrt.txt
RUN mkdir -p /trt-wheels && pip3 wheel --wheel-dir=/trt-wheels -r /requirements-tensorrt.txt

# Build CuDNN
FROM ${TRT_BASE} AS cudnn-deps

ARG COMPUTE_LEVEL

RUN apt-get update \
    && apt-get install -y git build-essential

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
ENV TRT_VER=8.5.3
RUN --mount=type=bind,from=trt-wheels,source=/trt-wheels,target=/deps/trt-wheels \
    pip3 install -U /deps/trt-wheels/*.whl && \
    ldconfig
COPY --from=cudnn-deps /usr/local/cuda-12.6 /usr/local/cuda

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
WORKDIR /opt/frigate/
COPY --from=rootfs / /

# Dev Container w/ TRT
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/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 --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 \
    pip3 install -U /deps/trt-wheels/*.whl