[mlir] [MLIR][Linalg] Introduce transpose/broadcast semantic to linalg.batch… (PR #130944)

[Andrzej Warzyński]

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@@ -1065,6 +1060,134 @@ def BatchMatmulOp : LinalgStructuredBase_Op<"batch_matmul", !listconcat([AttrSiz
 }
 
 
+//===----------------------------------------------------------------------===//
+// Op definition for BatchReduceMatmulOp
+//===----------------------------------------------------------------------===//
+
+def BatchReduceMatmulOp : LinalgStructuredBase_Op<"batch_reduce_matmul", [
+                          AttrSizedOperandSegments,
+                          LinalgContractionOpInterface]> {
+    
+  let summary = [{Performs a batch-reduce matrix multiplication of two 3D inputs.
+    The partial multiplication results are reduced into a 2D output.}];
+  let description = [{
+    Numeric casting is performed on the operands to the inner multiply, promoting
+    them to the same data type as the accumulator/output.
+
+    Broadcast and Transpose semantics can be appiled by specifying the explicit attribute
+    'indexing_maps' as shown below. This is a list attribute, so must include maps for all
+    arguments if specified.
+
+    Example Transpose:
+    ```
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banach-space wrote:

[nit] So that we get syntax highlighting
```suggestion
    ```mlir
```

https://github.com/llvm/llvm-project/pull/130944