[MLIR][Linalg] Re-land linalg.matmul move to ODS. + Remove/update failing obsolete OpDSL tests. (#115319)

The earlier PR(llvm/llvm-project#104783) which
introduces
transpose and broadcast semantic to linalg.matmul was reverted due to
two failing
OpDSL test for linalg.matmul.

Since linalg.matmul is now defined using TableGen ODS instead of
Python-based OpDSL,
these test started failing and needs to be removed/updated.

This commit removes/updates the failing obsolete tests from below files.
All other files
were part of earlier PR and just cherry picked.
    "mlir/test/python/integration/dialects/linalg/opsrun.py"
    "mlir/test/python/integration/dialects/transform.py"

---------

Co-authored-by: Renato Golin <[email protected]>

Author: shahidact

mlir/python/mlir/dialects/linalg/opdsl/ops/core_named_ops.py

@@ -383,23 +383,6 @@ def select(
     O[None] = TernaryFn.select(cond[None], lhs[None], rhs[None])
 
 
-@linalg_structured_op
-def matmul(
-    A=TensorDef(T1, S.M, S.K),
-    B=TensorDef(T2, S.K, S.N),
-    C=TensorDef(U, S.M, S.N, output=True),
-    cast=TypeFnAttrDef(default=TypeFn.cast_signed),
-):
-    """Performs a matrix multiplication of two 2D inputs.
-
-    Numeric casting is performed on the operands to the inner multiply, promoting
-    them to the same data type as the accumulator/output.
-    """
-    domain(D.m, D.n, D.k)
-    implements(ContractionOpInterface)
-    C[D.m, D.n] += cast(U, A[D.m, D.k]) * cast(U, B[D.k, D.n])
-
-
 @linalg_structured_op
 def quantized_matmul(
     A=TensorDef(T1, S.M, S.K),