End-to-end tests for torch_xla llama and mixtral #15
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| name: E2E tests | |
| on: | |
| push: | |
| branches: | |
| - main | |
| pull_request: | |
| schedule: # Schedule the job run at 12AM PST daily. | |
| - cron: "0 8 * * *" | |
| # Note: | |
| # v6e cluster used: http://shortn/_oswg6PyPo6 | |
| # If we migrate to another project, these configs should be updated accordingly. | |
| env: | |
| XPK_CLUSTER_NAME: tpu-v6e-ci | |
| GCP_PROJECT: tpu-pytorch | |
| GCP_ZONE: us-central2 | |
| TPU_TYPE: v6e-4 | |
| jobs: | |
| tp-run: | |
| name: Train models via 'tp run' | |
| runs-on: [ubuntu-22.04] | |
| env: | |
| ARTIFACT_DIR: gs://torchprime-e2e-tests/${{ github.job }}/${{ github.run_id }}-${{ github.run_attempt }} | |
| RUN_ID: ${{ github.run_id }}-${{ github.run_attempt }} | |
| outputs: | |
| llama-3-8b-name: ${{ steps.run-llama-3-8b.outputs.name }} | |
| steps: | |
| - name: Maximize build space | |
| uses: AdityaGarg8/[email protected] | |
| with: | |
| remove-dotnet: 'true' | |
| remove-android: 'true' | |
| remove-haskell: 'true' | |
| remove-codeql: 'true' | |
| - name: Use Docker in rootless mode | |
| uses: ScribeMD/[email protected] | |
| - name: Add user to docker group | |
| run: | | |
| sudo usermod -aG docker $USER | |
| newgrp docker | |
| - uses: actions/setup-python@v5 | |
| with: | |
| python-version: '3.10' | |
| - uses: actions/checkout@v4 | |
| - name: Install dev dependencies | |
| run: | | |
| python -m pip install --upgrade pip | |
| pip install -e '.[dev]' | |
| - uses: 'google-github-actions/auth@v2' | |
| with: | |
| # Googlers: if this fails, follow http://shortn/_61iSj31q1b to debug. | |
| credentials_json: '${{ secrets.GCP_SA_KEY }}' | |
| - uses: google-github-actions/setup-gcloud@v2 | |
| with: | |
| version: '>= 363.0.0' | |
| install_components: 'beta,gke-gcloud-auth-plugin' | |
| - name: Verify gcp setup | |
| run: gcloud info | |
| - name: Authenticate Docker | |
| run: gcloud auth configure-docker --quiet | |
| - name: Activate SA credentials | |
| run: gcloud auth activate-service-account --key-file=$GOOGLE_APPLICATION_CREDENTIALS | |
| - name: tp doctor | |
| run: tp doctor | |
| - name: tp use | |
| run: > | |
| tp use | |
| --project $GCP_PROJECT | |
| --zone $GCP_ZONE | |
| --cluster $XPK_CLUSTER_NAME | |
| --num-slices 1 | |
| --artifact-dir $ARTIFACT_DIR | |
| --tpu-type $TPU_TYPE | |
| - name: Run Llama 3.0 8B | |
| id: run-llama-3-8b | |
| env: | |
| # TODO(https://github.com/AI-Hypercomputer/torchprime/issues/14): Remove and burn the token. | |
| HF_TOKEN: ${{ secrets.HF_TOKEN }} | |
| XLA_IR_DEBUG: 1 | |
| XLA_HLO_DEBUG: 1 | |
| run: | | |
| random_id=$(cat /dev/urandom | tr -dc A-Za-z0-9 | head -c 8) | |
| name="llama-3-8b-$random_id" | |
| tp run \ | |
| --name $name \ | |
| torchprime/torch_xla_models/train.py \ | |
| model=llama-3-8b \ | |
| global_batch_size=8 \ | |
| mesh.fsdp=4 \ | |
| dataset_config_name=wikitext-103-raw-v1 \ | |
| profile_step=3 \ | |
| max_steps=15 | |
| echo "name=$name" >> "$GITHUB_OUTPUT" | |
| llama-3-8b: | |
| name: Check Llama 3.0 8B | |
| needs: tp-run | |
| runs-on: [ubuntu-22.04] | |
| env: | |
| JOBSET_NAME: ${{needs.tp-run.outputs.llama-3-8b-name}} | |
| steps: | |
| - uses: actions/setup-python@v5 | |
| with: | |
| python-version: '3.10' | |
| - uses: 'google-github-actions/auth@v2' | |
| with: | |
| credentials_json: '${{ secrets.GCP_SA_KEY }}' | |
| - uses: google-github-actions/setup-gcloud@v2 | |
| with: | |
| version: '>= 363.0.0' | |
| install_components: 'beta,gke-gcloud-auth-plugin' | |
| - name: Verify gcp setup | |
| run: gcloud info | |
| - name: Activate SA credentials | |
| run: gcloud auth activate-service-account --key-file=$GOOGLE_APPLICATION_CREDENTIALS | |
| - name: Get GKE credentials | |
| run: | | |
| gcloud container clusters get-credentials $XPK_CLUSTER_NAME --region=$GCP_ZONE --project=$GCP_PROJECT | |
| kubectl config view | |
| kubectl config set-context --current --namespace=default | |
| - name: Stream logs | |
| run: | | |
| pod_name=$(kubectl get pods -l jobset.sigs.k8s.io/jobset-name=JOBSET_NAME -o json | jq --raw-output '.items[0].metadata.name') | |
| kubectl logs -c jax-tpu -f pod_name | |
| # TODO: stream logs | |
| # TODO: wait for completion | |
| # TODO: check that there is a 'Step duration: ... s' | |
| # TODO: check that there is a 'Finished training run' | |
| # TODO: check that there is profile |