mirror of
https://github.com/pytorch/pytorch.git
synced 2025-10-20 12:54:11 +08:00
197764b35d
Summary: Fixes : https://github.com/pytorch/pytorch/issues/73377 We've migrated to CUDA-11.3 as default toolkit in 1.9, it's time to stop builds (especially considering forward-compatibility guarantee across CUDA-11.x drivers) Hence we are removing CUDA 11.1 support. We should also cleanup old cuda related code from our builder and pytorch repo making scripts a little more clean. We have code that references cuda 9.2 , 10.1 , 11.0, 11.1, 11.2 and none of these are currently use Pull Request resolved: https://github.com/pytorch/pytorch/pull/73514 Reviewed By: janeyx99 Differential Revision: D34551989 Pulled By: atalman fbshipit-source-id: 9ceaaa9b25ad49689986f4b29a26d20370d9d011 (cherry picked from commit fe109c62daf429e9053c03f6e374568ba23cd041)
73 lines
2.4 KiB
Makefile
73 lines
2.4 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 = $(shell whoami)
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endif
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CUDA_VERSION = 11.3
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CUDNN_VERSION = 8
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BASE_RUNTIME = ubuntu:18.04
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BASE_DEVEL = nvidia/cuda:$(CUDA_VERSION)-cudnn$(CUDNN_VERSION)-devel-ubuntu18.04
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# The conda channel to use to install cudatoolkit
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CUDA_CHANNEL = nvidia
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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 = $(shell git describe --tags --always)
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# Can be either official / dev
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BUILD_TYPE = dev
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BUILD_PROGRESS = auto
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BUILD_ARGS = --build-arg BASE_IMAGE=$(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 CUDA_CHANNEL=$(CUDA_CHANNEL) \
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--build-arg PYTORCH_VERSION=$(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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