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Enables multi-slice training in T5X #6192

Enables multi-slice training in T5X

Enables multi-slice training in T5X #6192

Workflow file for this run

name: build
on: [push]
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: '3.10.x'
cache: 'pip'
cache-dependency-path: setup.py
- name: Install dependencies
run: |
pip install -e .[test] -f https://storage.googleapis.com/jax-releases/libtpu_releases.html
- name: Test with pytest
# TODO(adarob): Re-enable once tests are updated.
run: |
export FLAX_LAZY_RNG=no
pytest
# The below step just reports the success or failure of tests as a "commit status".
# This is needed for copybara integration.
- name: Report success or failure as github status
if: always()
shell: bash
run: |
status="${{ job.status }}"
lowercase_status=$(echo $status | tr '[:upper:]' '[:lower:]')
curl -sS --request POST \
--url https://api.github.com/repos/${{ github.repository }}/statuses/${{ github.sha }} \
--header 'authorization: Bearer ${{ secrets.GITHUB_TOKEN }}' \
--header 'content-type: application/json' \
--data '{
"state": "'$lowercase_status'",
"target_url": "https://github.com/${{ github.repository }}/actions/runs/${{ github.run_id }}",
"description": "'$status'",
"context": "github-actions/build"
}'