CI - Wheel Tests (Continuous) #1571
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| # CI - Wheel Tests (Continuous) | |
| # | |
| # This workflow builds JAX artifacts and runs CPU/CUDA tests. | |
| # | |
| # It orchestrates the following: | |
| # 1. build-jaxlib-artifact: Calls the `build_artifacts.yml` workflow to build jaxlib and | |
| # uploads it to a GCS bucket. | |
| # 2. run-pytest-cpu: Calls the `pytest_cpu.yml` workflow which downloads the jaxlib wheel | |
| # that was built in the previous step and runs CPU tests. | |
| # 3. build-cuda-artifacts: Calls the `build_artifacts.yml` workflow to build CUDA artifacts and | |
| # uploads them to a GCS bucket. | |
| # 4. run-bazel-test-cpu-py-import: Calls the `bazel_cpu_py_import_rbe.yml` workflow which | |
| # runs Bazel CPU tests with py_import on RBE. | |
| # 5. run-pytest-cuda: Calls the `pytest_cuda.yml` workflow which downloads the jaxlib and CUDA | |
| # artifacts that were built in the previous steps and runs the CUDA tests. | |
| # 6. run-bazel-test-cuda: Calls the `bazel_cuda_non_rbe.yml` workflow which downloads the jaxlib | |
| # and CUDA artifacts that were built in the previous steps and runs the | |
| # CUDA tests using Bazel. | |
| name: CI - Wheel Tests (Continuous) | |
| permissions: | |
| contents: read | |
| on: | |
| schedule: | |
| - cron: "0 */3 * * *" # Run once every 3 hours | |
| workflow_dispatch: # allows triggering the workflow run manually | |
| concurrency: | |
| group: ${{ github.workflow }}-${{ github.head_ref || github.ref }} | |
| cancel-in-progress: ${{ !contains(github.ref, 'release/') && github.ref != 'main' }} | |
| jobs: | |
| build-jax-artifact: | |
| uses: ./.github/workflows/build_artifacts.yml | |
| name: "Build jax artifact" | |
| with: | |
| # Note that since jax is a pure python package, the runner OS and Python values do not | |
| # matter. In addition, cloning main XLA also has no effect. | |
| runner: "linux-x86-n2-16" | |
| artifact: "jax" | |
| upload_artifacts_to_gcs: true | |
| gcs_upload_uri: 'gs://general-ml-ci-transient/jax-github-actions/jax/${{ github.workflow }}/${{ github.run_number }}/${{ github.run_attempt }}' | |
| build-jaxlib-artifact: | |
| uses: ./.github/workflows/build_artifacts.yml | |
| strategy: | |
| fail-fast: false # don't cancel all jobs on failure | |
| matrix: | |
| # Runner OS and Python values need to match the matrix stategy in the CPU tests job | |
| runner: ["linux-x86-n2-16", "linux-arm64-t2a-48", "windows-x86-n2-16"] | |
| artifact: ["jaxlib"] | |
| python: ["3.11"] | |
| # Note: For reasons unknown, Github actions groups jobs with the same top-level name in the | |
| # dashboard only if we use an expression in the "name" field. Otherwise, it appends the matrix | |
| # values to the name and creates a separate entry for each matrix combination. | |
| name: "Build ${{ format('{0}', 'jaxlib') }} artifacts" | |
| with: | |
| runner: ${{ matrix.runner }} | |
| artifact: ${{ matrix.artifact }} | |
| python: ${{ matrix.python }} | |
| clone_main_xla: 1 | |
| upload_artifacts_to_gcs: true | |
| gcs_upload_uri: 'gs://general-ml-ci-transient/jax-github-actions/jax/${{ github.workflow }}/${{ github.run_number }}/${{ github.run_attempt }}' | |
| build-cuda-artifacts: | |
| uses: ./.github/workflows/build_artifacts.yml | |
| strategy: | |
| fail-fast: false # don't cancel all jobs on failure | |
| matrix: | |
| # Python values need to match the matrix stategy in the CUDA tests job below | |
| runner: ["linux-x86-n2-16"] | |
| artifact: ["jax-cuda-plugin", "jax-cuda-pjrt"] | |
| python: ["3.11",] | |
| name: "Build ${{ format('{0}', 'CUDA') }} artifacts" | |
| with: | |
| runner: ${{ matrix.runner }} | |
| artifact: ${{ matrix.artifact }} | |
| python: ${{ matrix.python }} | |
| clone_main_xla: 1 | |
| upload_artifacts_to_gcs: true | |
| gcs_upload_uri: 'gs://general-ml-ci-transient/jax-github-actions/jax/${{ github.workflow }}/${{ github.run_number }}/${{ github.run_attempt }}' | |
| run-pytest-cpu: | |
| # Run test jobs even if the build job fails. Avoids losing test coverage if a single unrelated | |
| # build job fails. E.g Windows build job fails but everything else succeeds. In this case, we | |
| # still want to run the tests for other platforms. | |
| if: ${{ !cancelled() }} | |
| needs: [build-jax-artifact, build-jaxlib-artifact] | |
| uses: ./.github/workflows/pytest_cpu.yml | |
| strategy: | |
| fail-fast: false # don't cancel all jobs on failure | |
| matrix: | |
| # Runner OS and Python values need to match the matrix stategy in the | |
| # build_jaxlib_artifact job above | |
| runner: ["linux-x86-n2-64", "linux-arm64-t2a-48", "windows-x86-n2-64"] | |
| python: ["3.11",] | |
| enable-x64: [1, 0] | |
| name: "Pytest CPU (JAX artifacts version = ${{ format('{0}', 'head') }})" | |
| with: | |
| runner: ${{ matrix.runner }} | |
| python: ${{ matrix.python }} | |
| enable-x64: ${{ matrix.enable-x64 }} | |
| gcs_download_uri: ${{ needs.build-jaxlib-artifact.outputs.gcs_upload_uri }} | |
| run-pytest-cuda: | |
| # Run test jobs even if the build job fails. Avoids losing test coverage if a single unrelated | |
| # build job fails. E.g Windows build job fails but everything else succeeds. In this case, we | |
| # still want to run the tests for other platforms. | |
| if: ${{ !cancelled() }} | |
| needs: [build-jax-artifact, build-jaxlib-artifact, build-cuda-artifacts] | |
| uses: ./.github/workflows/pytest_cuda.yml | |
| strategy: | |
| fail-fast: false # don't cancel all jobs on failure | |
| matrix: | |
| # Python values need to match the matrix stategy in the artifact build jobs above | |
| # See exlusions for what is fully tested | |
| runner: ["linux-x86-g2-48-l4-4gpu", "linux-x86-a3-8g-h100-8gpu", "linux-x86-a4-224-b200-1gpu"] | |
| python: ["3.11",] | |
| cuda: [ | |
| {version: "12.1", use-nvidia-pip-wheels: false}, | |
| {version: "12.8", use-nvidia-pip-wheels: true}, | |
| ] | |
| enable-x64: [1, 0] | |
| exclude: | |
| # H100 runs only a single config, CUDA 12.8 Enable x64 1 | |
| - runner: "linux-x86-a3-8g-h100-8gpu" | |
| cuda: | |
| version: "12.1" | |
| - runner: "linux-x86-a3-8g-h100-8gpu" | |
| enable-x64: "0" | |
| # B200 runs only a single config, CUDA 12.8 Enable x64 1 | |
| - runner: "linux-x86-a4-224-b200-1gpu" | |
| cuda: | |
| version: "12.1" | |
| - runner: "linux-x86-a4-224-b200-1gpu" | |
| enable-x64: "0" | |
| name: "Pytest CUDA (JAX artifacts version = ${{ format('{0}', 'head') }}, CUDA Pip packages = ${{ matrix.cuda.use-nvidia-pip-wheels }})" | |
| with: | |
| runner: ${{ matrix.runner }} | |
| python: ${{ matrix.python }} | |
| cuda-version: ${{ matrix.cuda.version }} | |
| use-nvidia-pip-wheels: ${{ matrix.cuda.use-nvidia-pip-wheels }} | |
| enable-x64: ${{ matrix.enable-x64 }} | |
| # GCS upload URI is the same for both artifact build jobs | |
| gcs_download_uri: ${{ needs.build-jaxlib-artifact.outputs.gcs_upload_uri }} | |
| run-bazel-test-cpu-py-import: | |
| uses: ./.github/workflows/bazel_cpu_py_import_rbe.yml | |
| strategy: | |
| fail-fast: false # don't cancel all jobs on failure | |
| matrix: | |
| runner: ["linux-x86-n2-16", "linux-arm64-t2a-48"] | |
| python: ["3.11",] | |
| enable-x64: [1, 0] | |
| name: "Bazel CPU tests with ${{ format('{0}', 'py_import') }}" | |
| with: | |
| runner: ${{ matrix.runner }} | |
| python: ${{ matrix.python }} | |
| enable-x64: ${{ matrix.enable-x64 }} | |
| run-bazel-test-cuda: | |
| # Run test jobs even if the build job fails. Avoids losing test coverage if a single unrelated | |
| # build job fails. E.g Windows build job fails but everything else succeeds. In this case, we | |
| # still want to run the tests for other platforms. | |
| if: ${{ !cancelled() }} | |
| needs: [build-jax-artifact, build-jaxlib-artifact, build-cuda-artifacts] | |
| uses: ./.github/workflows/bazel_cuda_non_rbe.yml | |
| strategy: | |
| fail-fast: false # don't cancel all jobs on failure | |
| matrix: | |
| # Python values need to match the matrix stategy in the build artifacts job above | |
| runner: ["linux-x86-g2-48-l4-4gpu",] | |
| python: ["3.11",] | |
| jaxlib-version: ["head", "pypi_latest"] | |
| enable-x64: [1, 0] | |
| name: "Bazel CUDA Non-RBE (jax version = ${{ format('{0}', 'head') }})" | |
| with: | |
| runner: ${{ matrix.runner }} | |
| python: ${{ matrix.python }} | |
| enable-x64: ${{ matrix.enable-x64 }} | |
| jaxlib-version: ${{ matrix.jaxlib-version }} | |
| # GCS upload URI is the same for both artifact build jobs | |
| gcs_download_uri: ${{ needs.build-jaxlib-artifact.outputs.gcs_upload_uri }} | |
| run-pytest-tpu: | |
| # Run test jobs even if the build job fails. Avoids losing test coverage if a single unrelated | |
| # build job fails. E.g Windows build job fails but everything else succeeds. In this case, we | |
| # still want to run the tests for other platforms. | |
| if: ${{ !cancelled() }} | |
| needs: [build-jax-artifact, build-jaxlib-artifact] | |
| uses: ./.github/workflows/pytest_tpu.yml | |
| strategy: | |
| fail-fast: false # don't cancel all jobs on failure | |
| matrix: | |
| python: ["3.11",] | |
| tpu-specs: [ | |
| # {type: "v3-8", cores: "4"}, # Enable when we have the v3 type available | |
| {type: "v4-8", cores: "4", runner: "linux-x86-ct4p-240-4tpu"}, | |
| {type: "v5e-8", cores: "8", runner: "linux-x86-ct5lp-224-8tpu"}, | |
| {type: "v6e-8", cores: "8", runner: "linux-x86-ct6e-180-8tpu"} | |
| ] | |
| libtpu-version-type: ["nightly", "oldest_supported_libtpu"] | |
| exclude: | |
| # Run a single config for oldest_supported_libtpu | |
| - libtpu-version-type: "oldest_supported_libtpu" | |
| tpu-specs: | |
| type: "v4-8" | |
| - libtpu-version-type: "oldest_supported_libtpu" | |
| tpu-specs: | |
| type: "v6e-8" | |
| name: "Pytest TPU (JAX artifacts version = ${{ format('{0}', 'head') }})" | |
| with: | |
| runner: ${{ matrix.tpu-specs.runner }} | |
| cores: ${{ matrix.tpu-specs.cores }} | |
| tpu-type: ${{ matrix.tpu-specs.type }} | |
| python: ${{ matrix.python }} | |
| run-full-tpu-test-suite: "1" | |
| libtpu-version-type: ${{ matrix.libtpu-version-type }} | |
| gcs_download_uri: ${{ needs.build-jaxlib-artifact.outputs.gcs_upload_uri }} |