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Running llama backward pass generates select op from concat op from forward pass. Concat op is then lowered to select op in autograd pass. Next, in post-autograd stage, select op is decomposed in sequence of few ops consisting of pad_tile, narrow, sparse_matmul which are not supported in TT-MLIR. This is legacy code anyway.
Solution for select op can be to lower it to ttir.slice op instead.
The text was updated successfully, but these errors were encountered:
Running llama backward pass generates select op from concat op from forward pass. Concat op is then lowered to select op in autograd pass. Next, in post-autograd stage, select op is decomposed in sequence of few ops consisting of
pad_tile
,narrow
,sparse_matmul
which are not supported in TT-MLIR. This is legacy code anyway.Solution for select op can be to lower it to
ttir.slice
op instead.The text was updated successfully, but these errors were encountered: