Gleb Lukicov glukicov

## create_image.sh
gcloud compute machine-images create coffee-template  \
--source-instance=gingerbread-latte

## create_instance_default.sh
gcloud workbench instances create gingerbread-latte

## create_instance.sh
gcloud workbench instances create cold-brew \
--machine-type=n1-highmem-32 \
--accelerator-type='NVIDIA_TESLA_T4' \
--accelerator-core-count=4 \
--install-gpu-driver \
--data-disk-size=500 \
--metadata=idle-timeout-seconds=3600

## metadata.sh
--metadata=notebook-upgrade-schedule="0 4 * * MON",post-startup-script=gs://my_coffee_basket/init.sh

## create_instances_from_image.sh
gcloud workbench instances create new-gingerbread-latte \
--vm-image-name=coffee-template

## install.sh
pip install -r requirements.txt

## requirements.txt
matplotlib==3.1.3
scikit-learn==0.22
tensorflow==2.1.0

## activate.sh
source ~/my_project/bin/activate

## my_project_env.sh
mkdir ~/my_project &&
cd ~/my_project &&
virtualenv my_project_env

## virtualenv.sh
pip install virtualenv
	gcloud compute machine-images create coffee-template \
	--source-instance=gingerbread-latte
	gcloud workbench instances create cold-brew \
	--machine-type=n1-highmem-32 \
	--accelerator-type='NVIDIA_TESLA_T4' \
	--accelerator-core-count=4 \
	--install-gpu-driver \
	--data-disk-size=500 \
	--metadata=idle-timeout-seconds=3600
	gcloud workbench instances create new-gingerbread-latte \
	--vm-image-name=coffee-template
	mkdir ~/my_project &&
	cd ~/my_project &&
	virtualenv my_project_env