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authorAndrzej WarzyƄski <andrzej.warzynski@arm.com>2024-09-26 16:18:46 +0100
committerGitHub <noreply@github.com>2024-09-26 16:18:46 +0100
commit9c48a04328f1dfa739985f64b33f20b67e085277 (patch)
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parent6d114944142ae5a1d0387fe40ffa9351b6f642aa (diff)
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[mlir][tensor] Refine the semantics of `createPadHighOp` (#109667)
Refine `createPadHighOp` so that the output tensor is required to be statically shaped. This is to prevent the current behaviour, which is incorrect: > // If `type` has dynamic dimensions the padding width is set to zero. The actual padding width should be set to: `%new_dim - %old_dim`, where %new_dim` and `%old_dim` are defined via e.g. `tensor.dim` Op applied to output and input tensors, respectively. This PR is an attempt to clarify the semantics surrounding dynamic shapes in preparation for adding support for scalable vectors to the pack/unpack logic in Tensor/Linalg (dynamic shapes is what we use to model scalable (*) sizes at the Tensor/MemRef level). (*) Scalable as in Arm's Scalable Vector Extension (SVE)
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