CVS-191622 [GHA] Docker action for NNCF pipeline - #4156
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Pull request overview
This PR introduces a Docker-image build step intended to provide a reproducible CUDA-enabled environment for NNCF’s GPU precommit pipeline, and updates the Linux precommit reusable workflow to run PyTorch CUDA tests inside that image.
Changes:
- Add a new
dockerjob to build/resolve CI container images (e.g.,pytorch_cuda) and pass the resolved image reference to downstream jobs. - Update the
pytorch-cudajob to run inside the built/resolved container image on the Nvidia GPU runner group. - Add an initial CUDA-enabled Dockerfile and a
docker_tagfile used for cache/tag management.
Reviewed changes
Copilot reviewed 3 out of 3 changed files in this pull request and generated 3 comments.
| File | Description |
|---|---|
| .github/workflows/call_precommit.yml | Reworks Linux precommit to build/use a Docker image for GPU tests (but currently drops non-GPU test jobs). |
| .github/dockerfiles/pytorch_cuda/Dockerfile | Adds a base Ubuntu+CUDA image definition used by the pipeline. |
| .github/dockerfiles/docker_tag | Introduces a tag value used for Docker image caching/versioning. |
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