[Mlir-commits] [mlir] [mlir][linalg] Introduce transpose semantic to 'linalg.matmul' ops. (PR #104783)

[Nicolas Vasilache]

================
@@ -535,6 +535,152 @@ def BroadcastOp : LinalgStructuredBase_Op<"broadcast", [
   let hasCanonicalizer = 1;
 }
 
+//===----------------------------------------------------------------------===//
+// Op definition for MatmulOp
+//===----------------------------------------------------------------------===//
+
+def MatmulOp : LinalgStructuredBase_Op<"matmul", [
+               AttrSizedOperandSegments,
+               LinalgContractionOpInterface]> {
+    
+  let summary = [{Performs a matrix multiplication of two 2D inputs without broadcast or transpose.}];
+  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 the list must include all
+    the maps if specified.
+
+    Example Transpose:
+    ```
+    linalg.matmul indexing_maps = [
+                   affine_map<(d0, d1, d2) -> (d2, d0)>, // transpose
+                   affine_map<(d0, d1, d2) -> (d2, d1)>,
+                   affine_map<(d0, d1, d2) -> (d0, d1)>
+                   ]
+                   ins(%arg0, %arg1 : memref<5x3xf32>,memref<5x7xf32>)
+                   outs(%arg2: memref<3x7xf32>)
+     ```
+
+    Example Broadcast:
+     ```
+    linalg.matmul indexing_maps = [
+                   affine_map<(d0, d1, d2) -> (d0)>,     // broadcast
+                   affine_map<(d0, d1, d2) -> (d2, d1)>,
+                   affine_map<(d0, d1, d2) -> (d0, d1)>
+                  ]
+                  ins(%arg0, %arg1 : memref<3xf32>, memref<5x7xf32>)
+                  outs(%arg2: memref<3x7xf32>)
+     ```
+
+     Example Broadcast and transpose:
+     ```
+     inalg.matmul indexing_maps = [
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nicolasvasilache wrote:

nit: linalg

https://github.com/llvm/llvm-project/pull/104783