GraphTrainer 8 GPU H100 Integration Tests #33
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| name: GraphTrainer 8 GPU H100 Integration Tests | |
| on: | |
| push: | |
| branches: [ main ] | |
| tags: | |
| - ciflow/8gpu/* | |
| paths: | |
| - 'torchtitan/experiments/graph_trainer/**' | |
| - '.github/workflows/integration_test_8gpu_graph_trainer_h100.yaml' | |
| pull_request: | |
| types: [opened, synchronize, reopened, ready_for_review] | |
| paths: | |
| - 'torchtitan/experiments/graph_trainer/**' | |
| - '.github/workflows/integration_test_8gpu_graph_trainer_h100.yaml' | |
| schedule: | |
| # Runs every 12 hours | |
| - cron: '0 */12 * * *' | |
| concurrency: | |
| group: unit-test${{ github.workflow }}-${{ github.ref == 'refs/heads/main' && github.run_number || github.ref }} | |
| cancel-in-progress: true | |
| defaults: | |
| run: | |
| shell: bash -l -eo pipefail {0} | |
| permissions: | |
| id-token: write | |
| contents: read | |
| jobs: | |
| build-test: | |
| if: github.event_name != 'pull_request' || github.event.pull_request.draft == false | |
| uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main | |
| with: | |
| runner: linux.aws.h100.8 | |
| gpu-arch-type: cuda | |
| gpu-arch-version: "12.8" | |
| docker-image: torchtitan-ubuntu-20.04-clang12 | |
| repository: pytorch/torchtitan | |
| upload-artifact: outputs | |
| timeout: 45 | |
| script: | | |
| set -eux | |
| # The generic Linux job chooses to use base env, not the one setup by the image | |
| CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") | |
| conda activate "${CONDA_ENV}" | |
| # Log GPU info / driver version for debugging. | |
| DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader | head -n 1 || true) | |
| echo "CUDA driver version: ${DRIVER_VERSION}" | |
| pip config --user set global.progress_bar off | |
| python -m pip install --force-reinstall --pre \ | |
| torch --index-url https://download.pytorch.org/whl/nightly/cu128 | |
| python -m pip install torchdata==0.12.0.dev20260327 --extra-index-url https://download.pytorch.org/whl/nightly/cpu | |
| sudo mkdir -p "$RUNNER_TEMP/artifacts-to-be-uploaded" | |
| sudo chown -R $(id -u):$(id -g) "$RUNNER_TEMP/artifacts-to-be-uploaded" | |
| # Disable Nvlink Sharp. The CI machine seems to be in unstable state to support | |
| # NVLS according to several CI runs. | |
| NCCL_NVLS_ENABLE=0 python -m torchtitan.experiments.graph_trainer.tests.integration_tests --test_suite graph_trainer_h100 --gpu_arch_type cuda $RUNNER_TEMP/artifacts-to-be-uploaded --ngpu 8 | |
| # Run the MoE numerics tests | |
| NCCL_NVLS_ENABLE=0 pytest torchtitan/experiments/graph_trainer/tests/test_numerics.py::TestGraphTrainerNumerics -v -k "moe" | |
| # Run bitwise deterministic guardrail test (includes H100-only hardcoded-hash tests) | |
| pytest torchtitan/experiments/graph_trainer/tests/test_bitwise_deterministic.py -v | |
| rm -rf $RUNNER_TEMP/artifacts-to-be-uploaded/*/checkpoint |