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test new CI

test new CI #1

name: Run unit tests
on:
workflow_dispatch:
push:
branches: [ main ]
# paths:
# - "src/**/*.py"
# - "examples/**/*.py"
# - "tests/**/*.py"
pull_request:
branches: [ main ]
#paths:
# - "src/**/*.py"
# - "examples/**/*.py"
# - "tests/**/*.py"
jobs:
tests:
runs-on: [multi-gpu, nvidia-gpu, 8-t4, ci]
container:
# image: nvcr.io/nvidia/pytorch:23.03-py3
image: runpod/pytorch:2.1.1-py3.10-cuda12.1.1-devel-ubuntu22.04
ports:
- 80
options: --gpus all --shm-size "8G"
steps:
- uses: actions/checkout@v3
# - name: Set up Python 3.10
# uses: actions/setup-python@v2
# with:
# python-version: '3.10'
- name: Python environment
run: |
which python
python --version
- name: Check Pytorch version
run: |
nvidia-smi
python -c "import torch; print('torch:', torch.__version__, torch)"
python -c "import torch; print('CUDA available:', torch.cuda.is_available())"
- name: Instal nanotron
run: |
python -m pip install --upgrade pip
pip install packaging
pip install wheel
pip install "flash-attn>=2.4.2" --no-build-isolation
git clone https://github.com/huggingface/nanotron.git
cd nanotron
pip install -e .
pip install -e .[dev]
pip install -e .[test]
- name: Install test dependencies
run: |
pip install pytest
pip install pytest-cov
- name: Show installed libraries and their versions
run: pip freeze | tee installed.txt
- name: Run tests
# NOTE: -m "not fa2" will run all the unit tests that don't have the mark
# "fa2" (these are FA2-related tests, we can't run it on T4)
run: pytest -m "not fa2" --color=yes --durations=0 --verbose tests/