Add Modal GPU CI pipeline for automated test execution#17
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- GitHub Actions workflow with manual trigger (workflow_dispatch) - Modal runner using L4 GPU with model weight caching via Volume Co-Authored-By: Claude Sonnet 4.6 <[email protected]>
modal.Mount removed in newer Modal versions. Co-Authored-By: Claude Sonnet 4.6 <[email protected]>
Co-Authored-By: Claude Sonnet 4.6 <[email protected]>
Co-Authored-By: Claude Sonnet 4.6 <[email protected]>
Co-Authored-By: Claude Sonnet 4.6 <[email protected]>
Co-Authored-By: Claude Sonnet 4.6 <[email protected]>
Co-Authored-By: Claude Sonnet 4.6 <[email protected]>
Co-Authored-By: Claude Sonnet 4.6 <[email protected]>
Co-Authored-By: Claude Sonnet 4.6 <[email protected]>
Co-Authored-By: Claude Sonnet 4.6 <[email protected]>
Co-Authored-By: Claude Sonnet 4.6 <[email protected]>
…ility Co-Authored-By: Claude Sonnet 4.6 <[email protected]>
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Description:
Adds a CI/CD pipeline that runs the full test suite on a GPU via Modal.
What's included
.github/workflows/test.yml— manual trigger (workflow_dispatch) that runs tests on Modalci/modal_runner.py— Modal job definition using an L4 GPU with model weight cachingHow it works
On demand (via the Run workflow button in GitHub Actions), the pipeline: