PatrikPerssonInceptron opened a new pull request, #17761:
URL: https://github.com/apache/tvm/pull/17761
Applying the FuseTransposeMatmul pass on a matmul with a constant weight
would fail since the bind_constants defaults to true in the FuseOpsByPattern
pass . This would lead the constant to be moved in to the fused function
instead of being an input param, however on line 168 in
/tvm/relax/transform/fuse_transpose_matmul.py
```pyhton
out_dtype = function.ret_struct_info.dtype
return self.builder_.call_te(
te_transposed_matmul,
call.args[1],
call.args[0],
primfunc_name_hint="NT_matmul",
)
```
, called later in the FuseTransposeMatmul pass, both input and weight are
expected to be inputs to the fused function leading to a crash.
I fixed it by explicitly setting bind_constants to false and I added a unit
test to verify correct behavior when the weight is a constant.
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