srcarroll wrote:

The current implementation will emit a `tensor.reshape` op if any of the dims 
of the input are not factorable (require more than one dynamic dim in the 
expansion). However, I could instead only emit reshapes for the dims that need 
it, and then a `tensor.expand_shape` on the rest of the dims. Whichever is 
preferable to the reviewer(s).

https://github.com/llvm/llvm-project/pull/76003
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