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UnitTests.yml
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# Copyright 2024 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python
name: Unit Test
on:
pull_request:
push:
branches: [ "main" ]
workflow_dispatch:
jobs:
maxtext_workload:
name: "Run MaxText Workload"
# IMPORTANT: Replace with the label for your runner (e.g., v5p-8)
runs-on: ["linux-x86-a3-megagpu-h100-8gpu"]
container:
image: us-docker.pkg.dev/tpu-prod-env-multipod/jax-stable-stack/maxtext-gpu-custom:latest
steps:
- name: Checkout MaxText Repo
uses: actions/checkout@v4
with:
repository: AI-Hypercomputer/maxtext
path: maxtext
- name: Print dependencies
run: |
pip freeze
- name: Run MaxText Training
run: |
# This command is adapted from your DAG for a single-slice configuration.
cd maxtext && \
export XLA_PYTHON_CLIENT_MEM_FRACTION=0.65
export TF_FORCE_GPU_ALLOW_GROWTH=true
export NVTE_FUSED_ATTN=1
python3 -m MaxText.train MaxText/configs/base.yml \
steps=5 \
enable_checkpointing=false \
attention=cudnn_flash_te \
dataset_type=synthetic \
run_name=rbierneni-test-maxtext-gpu \
base_output_directory=gs://rbierneni-multipod-dev/maxtext/${{ github.run_id }}