Prepare HPU for unit tests to be enabled. #17

	name: hpu-gaudi2

	on:
	workflow_dispatch:
	schedule:
	- cron: "0 0 * * *"
	pull_request:
	paths:
	- ".github/workflows/hpu-gaudi2.yml"

	concurrency:
	group: ${{ github.workflow }}-${{ github.ref }}
	cancel-in-progress: true

	permissions:
	contents: read
	issues: write

	jobs:
	unit-tests:
	# The type of runner that the job will run on
	runs-on: [self-hosted, intel, gaudi2]
	container:
	image: vault.habana.ai/gaudi-docker/1.14.0/ubuntu22.04/habanalabs/pytorch-installer-2.1.1:latest
	ports:
	- 80
	options: --runtime=habana -e HABANA_VISIBLE_DEVICES=all -e OMPI_MCA_btl_vader_single_copy_mechanism=none --cap-add=sys_nice

	# Steps represent a sequence of tasks that will be executed as part of the job
	steps:
	# Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it
	- uses: actions/checkout@v3

	- name: Check container state
	run: \|
	ldd --version
	hl-smi
	python -c "import torch; print('torch:', torch.__version__, torch)"
	python -c "import torch; print('CUDA available:', torch.cuda.is_available())"

	- name: Install transformers
	run: \|
	git clone https://github.com/huggingface/transformers
	cd transformers
	git rev-parse --short HEAD
	pip install .

	- name: Install deepspeed
	run: \|
	pip install .[dev]
	ds_report

	- name: Python environment
	run: \|
	pip list

	- name: Unit tests
	run: \|
	unset TORCH_CUDA_ARCH_LIST # only jit compile for current arch
	set PT_HPU_LAZY_MODE=0
	cd tests
	pytest -n 4 --verbose unit/ -k "test_accelerator and test_autotuning"

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