Support broadcast strides in TensorAttr and ASM emitter#288
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IanWood1 merged 2 commits intoiree-org:mainfrom Apr 6, 2026
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Support broadcast strides in TensorAttr and ASM emitter#288IanWood1 merged 2 commits intoiree-org:mainfrom
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Broadcast strides (stride=0 on dims with size > 1) are used by frameworks like cuDNN and PyTorch to share data across dimensions via memory aliasing. This enables fusilli to accept tensors where certain dimensions read from the same physical memory location. TensorAttr changes: - Add hasBroadcastDims() and getUnexpandedDim() methods - Update hasValidPhysicalRepresentation() to accept stride=0 - Update getPhysicalDim() to return size 1 for broadcast dims - Update getLogicalToPhysicalPermuteOrder() to pin broadcast dims ASM emitter changes: - Add buildTensorTypeStr() helper for explicit dims - Rename getPermuteOpsAsm → getLayoutConversionOpsAsm which handles permute + broadcast expand internally for physical→logical conversion - Callers no longer need broadcast-specific branching Broadcast strides on output tensors are not yet supported and are rejected during graph validation with a clear error message. Fixes iree-org#276 Signed-off-by: Ian Wood <ianwood@u.northwestern.edu>
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Support broadcast strides (stride=0) in TensorAttr and ASM emitter.
TensorAttr changes:
ASM emitter changes:
Fixes #276