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https://github.com/pytorch/pytorch.git
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0c3bae6a89
Summary: The aim is being able to inspect a container image and determine immediately which version of pytorch it contains. Closes https://github.com/pytorch/pytorch/issues/48324 Signed-off-by: Felix Abecassis <fabecassis@nvidia.com> seemethere PTAL. As you requested in https://github.com/pytorch/pytorch/issues/48324#issuecomment-754237156, I'm submitting the patch. But I could only do limited testing as I'm not sure these Makefile/Dockerfile are used for pushing the Docker Hub images (since the Makefile tags the image with a `v` prefix for the version, as in: `pytorch:v1.7.1`, but Docker Hub images don't have this prefix). Also on the master branch we currently have the following: ``` $ git describe --tags v1.4.0a0-11171-g68a6e46379 ``` So it's a little off, but it behaves as expected on the `release/1.7` branch. Pull Request resolved: https://github.com/pytorch/pytorch/pull/50154 Reviewed By: walterddr Differential Revision: D25828491 Pulled By: seemethere fbshipit-source-id: 500ec96cb5f5da1321610002d5e3678f4b0b94b5
70 lines
2.2 KiB
Makefile
70 lines
2.2 KiB
Makefile
DOCKER_REGISTRY = docker.io
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DOCKER_ORG = $(shell docker info 2>/dev/null | sed '/Username:/!d;s/.* //')
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DOCKER_IMAGE = pytorch
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DOCKER_FULL_NAME = $(DOCKER_REGISTRY)/$(DOCKER_ORG)/$(DOCKER_IMAGE)
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ifeq ("$(DOCKER_ORG)","")
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$(warning WARNING: No docker user found using results from whoami)
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DOCKER_ORG = $(shell whoami)
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endif
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CUDA_VERSION = 11.0
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CUDNN_VERSION = 8
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BASE_RUNTIME = ubuntu:18.04
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BASE_DEVEL = nvidia/cuda:$(CUDA_VERSION)-cudnn$(CUDNN_VERSION)-devel-ubuntu18.04
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# The conda channel to use to install pytorch / torchvision
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INSTALL_CHANNEL = pytorch
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PYTHON_VERSION = 3.7
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PYTORCH_VERSION = $(shell git describe --tags)
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# Can be either official / dev
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BUILD_TYPE = dev
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BUILD_PROGRESS = auto
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BUILD_ARGS = --build-arg BASE_IMAGE=$(BASE_IMAGE) \
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--build-arg PYTHON_VERSION=$(PYTHON_VERSION) \
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--build-arg CUDA_VERSION=$(CUDA_VERSION) \
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--build-arg PYTORCH_VERSION=$(PYTORCH_VERSION) \
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--build-arg INSTALL_CHANNEL=$(INSTALL_CHANNEL)
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EXTRA_DOCKER_BUILD_FLAGS ?=
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DOCKER_BUILD = DOCKER_BUILDKIT=1 \
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docker build \
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--progress=$(BUILD_PROGRESS) \
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$(EXTRA_DOCKER_BUILD_FLAGS) \
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--target $(BUILD_TYPE) \
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-t $(DOCKER_FULL_NAME):$(DOCKER_TAG) \
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$(BUILD_ARGS) .
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DOCKER_PUSH = docker push $(DOCKER_FULL_NAME):$(DOCKER_TAG)
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.PHONY: all
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all: devel-image
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.PHONY: devel-image
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devel-image: BASE_IMAGE := $(BASE_DEVEL)
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devel-image: DOCKER_TAG := $(PYTORCH_VERSION)-devel
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devel-image:
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$(DOCKER_BUILD)
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.PHONY: devel-image
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devel-push: BASE_IMAGE := $(BASE_DEVEL)
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devel-push: DOCKER_TAG := $(PYTORCH_VERSION)-devel
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devel-push:
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$(DOCKER_PUSH)
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.PHONY: runtime-image
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runtime-image: BASE_IMAGE := $(BASE_RUNTIME)
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runtime-image: DOCKER_TAG := $(PYTORCH_VERSION)-runtime
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runtime-image:
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$(DOCKER_BUILD)
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docker tag $(DOCKER_FULL_NAME):$(DOCKER_TAG) $(DOCKER_FULL_NAME):latest
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.PHONY: runtime-image
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runtime-push: BASE_IMAGE := $(BASE_RUNTIME)
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runtime-push: DOCKER_TAG := $(PYTORCH_VERSION)-runtime
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runtime-push:
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$(DOCKER_PUSH)
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.PHONY: clean
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clean:
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-docker rmi -f $(shell docker images -q $(DOCKER_FULL_NAME))
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