Create a workflow to run benchmarks #28
Workflow file for this run
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| name: Benchmarks | |
| on: | |
| pull_request: | |
| branches: | |
| - main | |
| jobs: | |
| # jax-build: | |
| # strategy: | |
| # matrix: | |
| # runner: ["linux-x86-g2-48-l4-4gpu"] | |
| # runs-on: ${{ matrix.runner }} | |
| # container: | |
| # image: "gcr.io/tensorflow-testing/nosla-cuda12.3-cudnn9.1-ubuntu20.04-manylinux2014-multipython:latest" | |
| # env: | |
| # JAXCI_HERMETIC_PYTHON_VERSION: 3.11 | |
| # steps: | |
| # - name: Checkout JAX Fork | |
| # uses: actions/checkout@v3 | |
| # with: | |
| # repository: 'google-ml-infra/jax-fork' | |
| # path: jax-fork | |
| # - name: Install JAX Dependencies | |
| # working-directory: jax-fork | |
| # run: | | |
| # python -m pip install --upgrade pip | |
| # pip install pytest | |
| # pip install absl-py | |
| # pip install "jax[cuda12_pip]" # Adjust CUDA version if needed | |
| # pip install google-benchmark | |
| # - name: Run JAX Multiprocess GPU Test | |
| # working-directory: jax-fork | |
| # continue-on-error: true | |
| # run: python -m pytest tests/multiprocess_gpu_test.py | |
| # - name: Build XLA GPU Atomic Test | |
| # working-directory: xla | |
| # continue-on-error: true | |
| # run: bazel build -c opt --config=cuda //xla/service/gpu/tests:gpu_atomic_test | |
| # - name: Run XLA GPU Atomic Test | |
| # working-directory: xla | |
| # continue-on-error: true | |
| # run: bazel test -c opt --config=cuda //xla/service/gpu/tests:gpu_atomic_test | |
| xla-gpu-ci: | |
| runs-on: linux-x86-g2-48-l4-4gpu # Or another suitable GPU runner | |
| container: | |
| image: "gcr.io/tensorflow-testing/nosla-cuda12.3-cudnn9.1-ubuntu20.04-manylinux2014-multipython:latest" | |
| steps: | |
| - name: Checkout XLA with submodules | |
| uses: actions/checkout@v3 | |
| with: | |
| repository: openxla/xla | |
| path: xla | |
| submodules: recursive | |
| - name: Install Docker | |
| run: | | |
| apt-get update -y | |
| apt-get install -y \ | |
| ca-certificates \ | |
| curl \ | |
| gnupg \ | |
| lsb-release | |
| ## Add this line to import the Docker GPG key: | |
| curl -fsSL https://download.docker.com/linux/ubuntu/gpg | gpg --dearmor -o /usr/share/keyrings/docker-archive-keyring.gpg | |
| echo \ | |
| "deb [arch=$(dpkg --print-architecture) signed-by=/usr/share/keyrings/docker-archive-keyring.gpg] https://download.docker.com/linux/ubuntu \ | |
| $(lsb_release -cs) stable" | tee /etc/apt/sources.list.d/docker.list > /dev/null | |
| apt-get update -y | |
| apt-get install -y docker-ce docker-ce-cli containerd.io | |
| # Add any necessary Docker configuration here, if required | |
| - name: Pull Docker image | |
| run: docker run --name xla_gpu -w /xla -it -d --rm -v $PWD:/xla tensorflow/build:latest-python3.9 bash | |