BOARDS += trt JETPACK5_BASE ?= nvcr.io/nvidia/l4t-tensorrt:r8.5.2-runtime # L4T 35.3.1 JetPack 5.1.1 JETPACK6_BASE ?= nvcr.io/nvidia/tensorrt:23.12-py3-igpu X86_DGPU_ARGS := ARCH=amd64 COMPUTE_LEVEL="50 60 70 80 90" JETPACK5_ARGS := ARCH=arm64 BASE_IMAGE=$(JETPACK5_BASE) SLIM_BASE=$(JETPACK5_BASE) TRT_BASE=$(JETPACK5_BASE) JETPACK6_ARGS := ARCH=arm64 BASE_IMAGE=$(JETPACK6_BASE) SLIM_BASE=$(JETPACK6_BASE) TRT_BASE=$(JETPACK6_BASE) local-trt: version $(X86_DGPU_ARGS) docker buildx bake --file=docker/tensorrt/trt.hcl tensorrt \ --set tensorrt.tags=frigate:latest-tensorrt \ --load local-trt-jp5: version $(JETPACK5_ARGS) docker buildx bake --file=docker/tensorrt/trt.hcl tensorrt \ --set tensorrt.tags=frigate:latest-tensorrt-jp5 \ --load local-trt-jp6: version $(JETPACK6_ARGS) docker buildx bake --file=docker/tensorrt/trt.hcl tensorrt \ --set tensorrt.tags=frigate:latest-tensorrt-jp6 \ --load build-trt: $(X86_DGPU_ARGS) docker buildx bake --file=docker/tensorrt/trt.hcl tensorrt \ --set tensorrt.tags=$(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH)-tensorrt $(JETPACK5_ARGS) docker buildx bake --file=docker/tensorrt/trt.hcl tensorrt \ --set tensorrt.tags=$(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH)-tensorrt-jp5 $(JETPACK6_ARGS) docker buildx bake --file=docker/tensorrt/trt.hcl tensorrt \ --set tensorrt.tags=$(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH)-tensorrt-jp6 push-trt: build-trt $(X86_DGPU_ARGS) docker buildx bake --file=docker/tensorrt/trt.hcl tensorrt \ --set tensorrt.tags=$(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH)-tensorrt \ --push $(JETPACK5_ARGS) docker buildx bake --file=docker/tensorrt/trt.hcl tensorrt \ --set tensorrt.tags=$(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH)-tensorrt-jp5 \ --push $(JETPACK6_ARGS) docker buildx bake --file=docker/tensorrt/trt.hcl tensorrt \ --set tensorrt.tags=$(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH)-tensorrt-jp6 \ --push