Small fixes when resuming training #689
Workflow file for this run
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name: Run non-FA2-related unit tests | |
on: | |
push: | |
branches: [ main ] | |
# Only run tests if we modify the following files | |
paths: | |
- "src/**/*.py" | |
- "examples/**/*.py" | |
- "tests/**/*.py" | |
pull_request: | |
branches: [ '**' ] | |
paths: | |
- "src/**/*.py" | |
- "examples/**/*.py" | |
- "tests/**/*.py" | |
jobs: | |
tests: | |
runs-on: | |
group: aws-g4dn-metal | |
container: | |
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: 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: Install nanotron's dependencies | |
run: | | |
python -m pip install --upgrade pip | |
pip install packaging | |
pip install wheel | |
pip install -e . | |
pip install -e .[dev] | |
pip install -e .[test] | |
pip install -e .[nanosets] | |
- name: Show installed libraries and their versions | |
run: pip freeze | tee installed.txt | |
- name: Run nanotron 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 \ | |
--ignore tests/kernels \ | |
--ignore tests/fp8 \ | |
--verbose \ | |
tests/ | |
# NOTE: T4 can't run FA2, DoReMi's LLaMa needs FÀ | |
# - name: Run DoReMi 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: | | |
# pip install -r examples/doremi/requirements.txt && \ | |
# pytest \ | |
# --color=yes \ | |
# --durations=0 \ | |
# --verbose \ | |
# examples/doremi/tests/ |