PyTorch splits test_masked for OOT backends with TestMaskedGeneric
PyTorch's newest PR makes masked operation tests hardware-agnostic, boosting OOT support...
PyTorch just merged a testing infrastructure update from contributor KarhouTam that makes masked-operation tests work across diverse hardware backends. PR #191290 isolates test_where into a new test class called TestMaskedGeneric, explicitly designed to not require a specific device. This means out-of-tree (OOT) backend developers—those building custom accelerators or vendor-specific PyTorch integrations—can now run these tests natively without patching device assumptions.
The refactor also introduces HardwareClassification labels to better categorize tests by target hardware, making it easier to identify which backends are covered. Approved by reviewers fffrog, can-gaa-hou, and albanD, this is a behind-the-scenes quality-of-life improvement for the PyTorch ecosystem. While it doesn't change model performance, it reduces friction for hardware vendors and CI pipelines, ensuring masked operations behave consistently regardless of the underlying chip.
- PR #191290 by KarhouTam splits test_where into TestMaskedGeneric, a device-agnostic test class
- Adds HardwareClassification labels to categorize tests for specific backends
- Removes device-specific code from masked tests, easing OOT backend integration
Why It Matters
Hardware vendors can validate PyTorch masked ops faster across custom accelerators, cutting integration friction.