Revert "[MLIR][Linalg] introduce batch-reduce GEMM"

This reverts commit f381768a8da6bd6bde8bdff34f080bf12bf20064.

1 files changed, 0 insertions, 14 deletions

diff --git a/mlir/python/mlir/dialects/linalg/opdsl/ops/core_named_ops.py b/mlir/python/mlir/dialects/linalg/opdsl/ops/core_named_ops.py
index b9b292d847cd..983842cde132 100644
--- a/mlir/python/mlir/dialects/linalg/opdsl/ops/core_named_ops.py
+++ b/mlir/python/mlir/dialects/linalg/opdsl/ops/core_named_ops.py
@@ -150,20 +150,6 @@ def quantized_batch_matmul(A=TensorDef(T1, Batch, S.M, S.K),
                        TypeFn.cast_signed(U, AZp)) * (TypeFn.cast_signed(
                            U, B[D.b, D.k, D.n]) - TypeFn.cast_signed(U, BZp))
 
-@linalg_structured_op
-def batch_reduce_matmul(A=TensorDef(T1, Batch, S.M, S.K),
-                        B=TensorDef(T2, Batch, S.K, S.N),
-                        C=TensorDef(U, S.M, S.N, output=True)):
-  """Performs a batch-reduce matrix multiplication of two 3D inputs.
-     The partial multiplication results are reduced into a 2D output.
-     
-  Numeric casting is performed on the operands to the inner multiply, promoting
-  them to the same data type as the accumulator/output.
-  """
-  domain(D.b, D.m, D.n, D.k)
-  implements(ContractionOpInterface)
-  C[D.m, D.n] += TypeFn.cast_signed(U, A[D.b, D.m, D.k] * TypeFn.cast_signed(
-    U, B[D.b, D.k, D.n]) 
 
 @linalg_structured_op
 def matvec(A=TensorDef(T1, S.M, S.N),