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Update UnitTests.yml
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.github/workflows/UnitTests.yml

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# This workflow will run a small MaxText training workload on a GPU runner
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# using a custom Docker image with all dependencies pre-installed.
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# This workflow will run a small MaxText training workload on a GPU runner
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# using a custom Docker image with all code and dependencies pre-installed.
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name: MaxText Custom Image Workload
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on:
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name: "Run MaxText Training Workload"
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runs-on: ["linux-x86-a3-megagpu-h100-8gpu"]
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container:
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# Use your newly built custom image
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# Use your custom image which contains the source code and dependencies.
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image: us-docker.pkg.dev/tpu-prod-env-multipod/jax-stable-stack/maxtext-gpu-custom:latest
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steps:
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- name: Run MaxText Training
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# The Docker image's working directory is /deps, but the code is in /deps/src.
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working-directory: /deps/src
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env:
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NVTE_FRAMEWORK: jax
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TF_FORCE_GPU_ALLOW_GROWTH: "true"
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run: |
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# The working directory is /deps, so this path is correct.
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# Run the main training script from the /deps/src directory.
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python MaxText/train.py MaxText/configs/base.yml \
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run_name="maxtext-ci-test-${{ github.run_id }}" \
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steps=5 \
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enable_checkpointing=false \
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attention='cudnet_flash_te' \
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attention='cudnn_flash_te' \
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dataset_type='synthetic'
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# name: SDXL Workload Training on GPU

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