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nv-inference

nv-inference #8963

Workflow file for this run

name: nv-inference
on:
workflow_dispatch:
pull_request:
paths:
- '.github/workflows/nv-inference.yml'
- 'requirements/**'
- 'deepspeed/__init__.py'
- 'deepspeed/inference/**'
- '!deepspeed/inference/v2/**' # exclude v2 dir
- 'tests/unit/inference/**'
- '!tests/unit/inference/v2/**' # exclude v2 tests dir
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, cu117, 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==2.1.2 torchvision==0.16.2 --index-url https://download.pytorch.org/whl/cu118
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 checkout f370bebdc
git rev-parse --short HEAD
pip install .
- name: Install deepspeed
run: |
DS_ACCELERATOR=cpu pip install .[dev,1bit,autotuning,inf]
#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
#pytest $PYTEST_OPTS -m 'seq_inference' unit/ --torch_ver="2.1" --cuda_ver="11.8"
pytest $PYTEST_OPTS -m 'inference_ops' unit/ --torch_ver="2.1" --cuda_ver="11.8"
pytest $PYTEST_OPTS --forked -n 4 -m 'inference' unit/ --torch_ver="2.1" --cuda_ver="11.8"
# run ds_report again to check updated op list
ds_report