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Update benchmarks.yml
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.github/workflows/benchmarks.yml

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name: Benchmarks
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on:
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pull_request:
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branches:
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- main
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jobs:
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# jax-build:
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# strategy:
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# matrix:
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# runner: ["linux-x86-g2-48-l4-4gpu"]
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# runs-on: ${{ matrix.runner }}
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# container:
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# image: "gcr.io/tensorflow-testing/nosla-cuda12.3-cudnn9.1-ubuntu20.04-manylinux2014-multipython:latest"
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# env:
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# JAXCI_HERMETIC_PYTHON_VERSION: 3.11
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# steps:
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# - name: Checkout JAX Fork
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# uses: actions/checkout@v3
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# with:
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# repository: 'google-ml-infra/jax-fork'
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# path: jax-fork
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# - name: Install JAX Dependencies
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# working-directory: jax-fork
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# run: |
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# python -m pip install --upgrade pip
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# pip install pytest
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# pip install absl-py
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# pip install "jax[cuda12_pip]" # Adjust CUDA version if needed
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# pip install google-benchmark
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# - name: Run JAX Multiprocess GPU Test
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# working-directory: jax-fork
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# continue-on-error: true
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# run: python -m pytest tests/multiprocess_gpu_test.py
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# - name: Build XLA GPU Atomic Test
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# working-directory: xla
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# continue-on-error: true
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# run: bazel build -c opt --config=cuda //xla/service/gpu/tests:gpu_atomic_test
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# - name: Run XLA GPU Atomic Test
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# working-directory: xla
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# continue-on-error: true
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# run: bazel test -c opt --config=cuda //xla/service/gpu/tests:gpu_atomic_test
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build-xla-gpu:
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runs-on: linux-x86-g2-48-l4-4gpu # Use a GPU-enabled runner
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container:
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image: "gcr.io/tensorflow-testing/nosla-cuda12.3-cudnn9.1-ubuntu20.04-manylinux2014-multipython:latest"
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name: Benchmarks
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on:
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pull_request:
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branches:

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