blakeblackshear.frigate/docker/tensorrt/Dockerfile.arm64

99 lines
3.9 KiB
Docker
Raw Normal View History

# syntax=docker/dockerfile:1.4
# https://askubuntu.com/questions/972516/debian-frontend-environment-variable
ARG DEBIAN_FRONTEND=noninteractive
ARG BASE_IMAGE
FROM ${BASE_IMAGE} AS build-wheels
ARG DEBIAN_FRONTEND
# Add deadsnakes PPA for python3.11
RUN apt-get -qq update && \
apt-get -qq install -y --no-install-recommends \
software-properties-common \
&& add-apt-repository ppa:deadsnakes/ppa
# Use a separate container to build wheels to prevent build dependencies in final image
RUN apt-get -qq update \
&& apt-get -qq install -y --no-install-recommends \
python3.11 python3.11-dev \
wget build-essential cmake git \
&& rm -rf /var/lib/apt/lists/*
# Ensure python3 defaults to python3.11
RUN update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.11 1
RUN wget -q https://bootstrap.pypa.io/get-pip.py -O get-pip.py \
&& python3 get-pip.py "pip"
FROM build-wheels AS trt-wheels
ARG DEBIAN_FRONTEND
ARG TARGETARCH
# python-tensorrt build deps are 3.4 GB!
RUN apt-get update \
&& apt-get install -y ccache cuda-cudart-dev-* cuda-nvcc-* libnvonnxparsers-dev libnvparsers-dev libnvinfer-plugin-dev \
&& ([ -e /usr/local/cuda ] || ln -s /usr/local/cuda-* /usr/local/cuda) \
&& rm -rf /var/lib/apt/lists/*;
# Determine version of tensorrt already installed in base image, e.g. "Version: 8.4.1-1+cuda11.4"
RUN NVINFER_VER=$(dpkg -s libnvinfer8 | grep -Po "Version: \K.*") \
&& echo $NVINFER_VER | grep -Po "^\d+\.\d+\.\d+" > /etc/TENSORRT_VER
RUN --mount=type=bind,source=docker/tensorrt/detector/build_python_tensorrt.sh,target=/deps/build_python_tensorrt.sh \
--mount=type=cache,target=/root/.ccache \
export PATH="/usr/lib/ccache:$PATH" CCACHE_DIR=/root/.ccache CCACHE_MAXSIZE=2G \
&& TENSORRT_VER=$(cat /etc/TENSORRT_VER) /deps/build_python_tensorrt.sh
COPY docker/tensorrt/requirements-arm64.txt /requirements-tensorrt.txt
# See https://elinux.org/Jetson_Zoo#ONNX_Runtime
ADD https://nvidia.box.com/shared/static/9yvw05k6u343qfnkhdv2x6xhygze0aq1.whl /tmp/onnxruntime_gpu-1.19.0-cp311-cp311-linux_aarch64.whl
RUN pip3 uninstall -y onnxruntime-openvino \
&& pip3 wheel --wheel-dir=/trt-wheels -r /requirements-tensorrt.txt \
&& pip3 install --no-deps /tmp/onnxruntime_gpu-1.19.0-cp311-cp311-linux_aarch64.whl
FROM build-wheels AS trt-model-wheels
ARG DEBIAN_FRONTEND
RUN apt-get update \
&& apt-get install -y protobuf-compiler libprotobuf-dev \
&& rm -rf /var/lib/apt/lists/*
RUN --mount=type=bind,source=docker/tensorrt/requirements-models-arm64.txt,target=/requirements-tensorrt-models.txt \
pip3 wheel --wheel-dir=/trt-model-wheels -r /requirements-tensorrt-models.txt
FROM wget AS jetson-ffmpeg
ARG DEBIAN_FRONTEND
ENV CCACHE_DIR /root/.ccache
ENV CCACHE_MAXSIZE 2G
RUN --mount=type=bind,source=docker/tensorrt/build_jetson_ffmpeg.sh,target=/deps/build_jetson_ffmpeg.sh \
--mount=type=cache,target=/root/.ccache \
/deps/build_jetson_ffmpeg.sh
# Frigate w/ TensorRT for NVIDIA Jetson platforms
FROM tensorrt-base AS frigate-tensorrt
RUN apt-get update \
&& apt-get install -y python-is-python3 libprotobuf23 \
&& rm -rf /var/lib/apt/lists/*
RUN rm -rf /usr/lib/btbn-ffmpeg/
COPY --from=jetson-ffmpeg /rootfs /
# ffmpeg runtime dependencies
RUN apt-get -qq update \
&& apt-get -qq install -y --no-install-recommends \
libx264-163 libx265-199 libegl1 \
&& rm -rf /var/lib/apt/lists/*
COPY --from=trt-wheels /etc/TENSORRT_VER /etc/TENSORRT_VER
RUN --mount=type=bind,from=trt-wheels,source=/trt-wheels,target=/deps/trt-wheels \
--mount=type=bind,from=trt-model-wheels,source=/trt-model-wheels,target=/deps/trt-model-wheels \
pip3 install -U /deps/trt-wheels/*.whl /deps/trt-model-wheels/*.whl \
&& ldconfig
WORKDIR /opt/frigate/
COPY --from=rootfs / /
# Fixes "Error importing detector runtime: /usr/lib/aarch64-linux-gnu/libstdc++.so.6: cannot allocate memory in static TLS block"
ENV LD_PRELOAD /usr/lib/aarch64-linux-gnu/libstdc++.so.6