Always enable load balancing #311

	name: nv-torch-latest-v100-local

	on:
	push:
	branches:
	- 'master'
	- 'staging**'
	paths-ignore:
	- 'docs/**'
	pull_request:
	paths-ignore:
	- 'docs/**'

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

	jobs:
	unit-tests:
	runs-on: [self-hosted, nvidia, cu116, v100]

	steps:
	- uses: actions/checkout@v2

	- id: setup-venv
	uses: ./.github/workflows/setup-venv

	- name: Install pytorch
	run: \|
	pip install --no-cache-dir torch==1.13.1 torchvision --extra-index-url https://download.pytorch.org/whl/cu116
	python -c "import torch; print('torch:', torch.__version__, torch)"
	python -c "import torch; print('CUDA available:', torch.cuda.is_available())"

	- name: Install dependencies
	run: \|
	pip install git+https://github.com/microsoft/DeepSpeed.git
	pip install git+https://github.com/huggingface/transformers.git
	pip install -U accelerate
	ds_report

	- name: Python environment
	run: \|
	pip list

	- name: Install MII
	run: \|
	pip install .[dev,local]

	- name: Unit tests
	run: \|
	unset TORCH_CUDA_ARCH_LIST # only jit compile for current arch
	if [[ -d ./torch-extensions ]]; then rm -rf ./torch-extensions; fi
	cd tests
	TRANSFORMERS_CACHE=/blob/transformers_cache/ TORCH_EXTENSIONS_DIR=./torch-extensions pytest --color=yes --durations=0 --forked --verbose -m "local" ./

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