Factor CPU matmul into more modular approach#135
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Uses previous changes in Pipeline, Descriptor, and the removal of bundles to construct a heterogeneous pipeline with schedules, passes, and descriptor files into a single pipeline. This should serve as the core example on how to compose a complex pipeline using Python, by creating on-the-fly custom schedules while reusing the existing infrastructure (passes, transforms) that we have in Lighthouse.
adam-smnk
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May 8, 2026
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Looks good but I observe performance regression.
There must be some small delta in updated lowering.
adam-smnk
reviewed
May 8, 2026
adam-smnk
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May 8, 2026
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Uses previous changes in Pipeline, Descriptor, and the removal of bundles to construct a heterogeneous pipeline with schedules, passes, and descriptor files into a single pipeline.
This should serve as the core example on how to compose a complex pipeline using Python, by creating on-the-fly custom schedules while reusing the existing infrastructure (passes, transforms) that we have in Lighthouse.