blakeblackshear.frigate/docker/tensorrt/Dockerfile.base

# syntax=docker/dockerfile:1.6

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

ARG TRT_BASE=nvcr.io/nvidia/tensorrt:23.12-py3

# Build TensorRT-specific library
FROM ${TRT_BASE} AS trt-deps

ARG TARGETARCH
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 \
    && rm -rf /var/lib/apt/lists/*
RUN --mount=type=bind,source=docker/tensorrt/detector/tensorrt_libyolo.sh,target=/tensorrt_libyolo.sh \
    /tensorrt_libyolo.sh

# COPY required individual CUDA deps
RUN mkdir -p /usr/local/cuda-deps
RUN if [ "$TARGETARCH" = "amd64" ]; then \
      cp /usr/local/cuda-12.3/targets/x86_64-linux/lib/libcurand.so.* /usr/local/cuda-deps/ && \
      cp /usr/local/cuda-12.3/targets/x86_64-linux/lib/libnvrtc.so.* /usr/local/cuda-deps/ ; \
    fi

# Frigate w/ TensorRT Support as separate image
FROM deps AS tensorrt-base

#Disable S6 Global timeout
ENV S6_CMD_WAIT_FOR_SERVICES_MAXTIME=0

# COPY TensorRT Model Generation Deps
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 Individual CUDA deps folder
COPY --from=trt-deps /usr/local/cuda-deps /usr/local/cuda

COPY docker/tensorrt/detector/rootfs/ /
ENV YOLO_MODELS=""

HEALTHCHECK --start-period=600s --start-interval=5s --interval=15s --timeout=5s --retries=3 \
    CMD curl --fail --silent --show-error http://127.0.0.1:5000/api/version || exit 1