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This will enable MLIR by default for these cases:

Any convolution fusion
Any int8 gemm fusion
All Navi3 standalone convolutions
With a flag(ie MIGRAPHX_ENABLE_MLIR) to enable MLIR for floating-point gemm fusions
Except:

3x3 winnograd convolutions fusions (except on Navi)
K > 2048 on gemm (as CK)
Also there is MIGRAPHX_DISABLE_MLIR to disable MLIR completely.

Add support for the QLinearMatMul onnx operator

Currently, we see MLIR partition candidates recieving non-standard shape due to not fusing in squeeze, flatten and unsqueeze ops. These ops could be canonicalized to reshape without introducing additional ops as long as MLIR backend is concerned.

* some skeleton code to handle attention patterns

* Fix scatter operator for nonstandard shapes

remove standard() shape check for scatter inputs.

* Add nostandard input tests for scatter

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Co-authored-by: Chris Austen <causten@users.noreply.github.com>

Makes ConstantOfShape work with a variable dimensions input

add flags for ck, Enable CK with hipRTC.  CK can be used with the MIGRAPHX_ENABLE_CK=1 and MIGRAPHX_TUNE_CK=1

Enable MLIR performance enhancements with MIGRAPHX_ENABLE_MLIR=1