[BUG] partition_balanced return wrong result. #7312

	name: nv-inference

	on:
	pull_request:
	paths-ignore:
	- 'docs/**'
	- 'blogs/**'
	merge_group:
	branches: [ master ]
	schedule:
	- cron: "0 0 * * *"

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

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

	steps:
	- uses: actions/checkout@v3

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

	- name: Install pytorch
	run: \|
	pip install -U --cache-dir $TORCH_CACHE 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 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,1bit,autotuning,inf,triton]
	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
	coverage run --concurrency=multiprocessing -m pytest $PYTEST_OPTS -m 'seq_inference' unit/ --torch_ver="1.13" --cuda_ver="11.6"
	coverage run --concurrency=multiprocessing -m pytest $PYTEST_OPTS -m 'inference_ops' unit/ --torch_ver="1.13" --cuda_ver="11.6"
	coverage run --concurrency=multiprocessing -m pytest $PYTEST_OPTS --forked -n 4 -m 'inference' unit/ --torch_ver="1.13" --cuda_ver="11.6"

	- name: Coverage report
	run: \|
	cd tests
	coverage combine
	coverage report -m

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