[zero++] Synchronize at the end of secondary partitioning and simplify the logic #6770

	name: nv-torch-latest-cpu

	on:
	workflow_dispatch:
	pull_request:
	paths-ignore:
	- 'docs/**'
	- 'blogs/**'
	- 'deepspeed/inference/v2/**'
	- 'tests/unit/inference/v2/**'
	merge_group:
	branches: [ master ]
	schedule:
	- cron: "0 0 * * *"

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

	jobs:
	unit-tests:
	runs-on: ubuntu-20.04

	steps:
	- uses: actions/checkout@v3

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

	- name: Install pytorch
	run: \|
	pip install torch torchvision --index-url https://download.pytorch.org/whl/cpu
	python -c "import torch; print('torch:', torch.__version__, torch)"
	python -c "import torch; print('CUDA available:', torch.cuda.is_available())"

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

	- name: Python environment
	run: \|
	pip list

	- name: Unit tests
	run: \|
	unset TORCH_CUDA_ARCH_LIST # only jit compile for current arch
	cd tests
	TRANSFORMERS_CACHE=/tmp/transformers_cache/ pytest $PYTEST_OPTS -n 4 unit/ --torch_ver="2.2"
	TRANSFORMERS_CACHE=/tmp/transformers_cache/ pytest $PYTEST_OPTS -m 'sequential' unit/ --torch_ver="2.2"

Provide feedback