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On cases where the concat dim is on a tile dim (last two dims of a tensor) AND tile padding exists for the tensor (last 2 dims are not tile-aligned) concat falls back to untilizing the tensor, performing the RM op, and retilizing.
Depending on the tensor shapes, this can cause tile input concat to be much more expensive than rm input concat:
The text was updated successfully, but these errors were encountered:
On cases where the concat dim is on a tile dim (last two dims of a tensor) AND tile padding exists for the tensor (last 2 dims are not tile-aligned) concat falls back to untilizing the tensor, performing the RM op, and retilizing.
Depending on the tensor shapes, this can cause tile input concat to be much more expensive than rm input concat:
The text was updated successfully, but these errors were encountered: