[Mlir-commits] [mlir] [MLIR][Linalg] Introduce broadcast/transpose semantic to 'linalg.batc… (PR #122275)

[Md Asghar Ahmad Shahid]

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@@ -3450,6 +3467,73 @@ static LogicalResult verifyExtendedMatmulSemantic(MatmulOp matmulOp,
   return success();
 }
 
+/// Checks if the given AffineMap represents a valid batch dimension.
+/// It checks if the first result dimension is a function of the first
+/// dimension.
+static bool isValidBatchDim(AffineMap bcastMap) {
+  assert(bcastMap.getNumResults() == 3 && "Expected three result dim expr.");
+  AffineExpr exp = bcastMap.getResult(0);
+  return exp.isFunctionOfDim(0);
+}
+
+/// Checks if the given AffineMap's result dimensions are valid output result
+/// dimensions.
+static bool isValidOutputResultDim(AffineMap outputMap) {
+  enum Indices { batchPos, mPos, nPos };
+  AffineExpr exp0 = outputMap.getResult(batchPos);
+  AffineExpr exp1 = outputMap.getResult(mPos);
+  AffineExpr exp2 = outputMap.getResult(nPos);
+  return exp0.isFunctionOfDim(batchPos) && exp1.isFunctionOfDim(mPos) &&
+         exp2.isFunctionOfDim(nPos);
+}
+
+/// Verifies the broadcast and transpose semantic specified by the explicit
+/// indexing map for the BatchMatmulOp \p op for each operand specified by \p
+/// opIndex.
+static LogicalResult
+verifyExtendedBatchMatmulSemantic(BatchMatmulOp batchMatmulOp,
+                                  unsigned opIndex) {
+  SmallVector<AffineMap, 3> opIndexingMaps =
+      batchMatmulOp.getIndexingMapsArray();
+  SmallVector<AffineMap, 3> defaultIndexingMaps =
+      batchMatmulOp.getDefaultIndexingMaps(batchMatmulOp->getContext());
+
+  auto opIndexingMap = opIndexingMaps[opIndex];
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shahidact wrote:

I will add tests.

https://github.com/llvm/llvm-project/pull/122275