DOCKER_REGISTRY           = docker.io
DOCKER_ORG                = $(shell docker info 2>/dev/null | sed '/Username:/!d;s/.* //')
DOCKER_IMAGE              = pytorch
DOCKER_FULL_NAME          = $(DOCKER_REGISTRY)/$(DOCKER_ORG)/$(DOCKER_IMAGE)

ifeq ("$(DOCKER_ORG)","")
$(warning WARNING: No docker user found using results from whoami)
DOCKER_ORG                = $(shell whoami)
endif

CUDA_VERSION              = 11.1
CUDNN_VERSION             = 8
BASE_RUNTIME              = ubuntu:18.04
BASE_DEVEL                = nvidia/cuda:$(CUDA_VERSION)-cudnn$(CUDNN_VERSION)-devel-ubuntu18.04

# The conda channel to use to install cudatoolkit
CUDA_CHANNEL              = nvidia
# The conda channel to use to install pytorch / torchvision
INSTALL_CHANNEL           = pytorch

PYTHON_VERSION            = 3.7
PYTORCH_VERSION           = $(shell git describe --tags --always)
# Can be either official / dev
BUILD_TYPE                = dev
BUILD_PROGRESS            = auto
BUILD_ARGS                = --build-arg BASE_IMAGE=$(BASE_IMAGE) \
							--build-arg PYTHON_VERSION=$(PYTHON_VERSION) \
							--build-arg CUDA_VERSION=$(CUDA_VERSION) \
							--build-arg CUDA_CHANNEL=$(CUDA_CHANNEL) \
							--build-arg PYTORCH_VERSION=$(PYTORCH_VERSION) \
							--build-arg INSTALL_CHANNEL=$(INSTALL_CHANNEL)
EXTRA_DOCKER_BUILD_FLAGS ?=
DOCKER_BUILD              = DOCKER_BUILDKIT=1 \
							docker build \
								--progress=$(BUILD_PROGRESS) \
								$(EXTRA_DOCKER_BUILD_FLAGS) \
								--target $(BUILD_TYPE) \
								-t $(DOCKER_FULL_NAME):$(DOCKER_TAG) \
								$(BUILD_ARGS) .
DOCKER_PUSH               = docker push $(DOCKER_FULL_NAME):$(DOCKER_TAG)

.PHONY: all
all: devel-image

.PHONY: devel-image
devel-image: BASE_IMAGE := $(BASE_DEVEL)
devel-image: DOCKER_TAG := $(PYTORCH_VERSION)-devel
devel-image:
	$(DOCKER_BUILD)

.PHONY: devel-image
devel-push: BASE_IMAGE := $(BASE_DEVEL)
devel-push: DOCKER_TAG := $(PYTORCH_VERSION)-devel
devel-push:
	$(DOCKER_PUSH)

.PHONY: runtime-image
runtime-image: BASE_IMAGE := $(BASE_RUNTIME)
runtime-image: DOCKER_TAG := $(PYTORCH_VERSION)-runtime
runtime-image:
	$(DOCKER_BUILD)
	docker tag $(DOCKER_FULL_NAME):$(DOCKER_TAG) $(DOCKER_FULL_NAME):latest

.PHONY: runtime-image
runtime-push: BASE_IMAGE := $(BASE_RUNTIME)
runtime-push: DOCKER_TAG := $(PYTORCH_VERSION)-runtime
runtime-push:
	$(DOCKER_PUSH)

.PHONY: clean
clean:
	-docker rmi -f $(shell docker images -q $(DOCKER_FULL_NAME))