[Mlir-commits] [mlir] [MLIR][XeGPU] Add support for elementwise ops in Wg to Sg distribute pass [1/N] (PR #142797)

[Nishant Patel]

================
@@ -328,6 +331,63 @@ struct WgToSgPrefetchNdOp : public OpConversionPattern<xegpu::PrefetchNdOp> {
   }
 };
 
+// This pattern transforms elementwise ops in math/arith dialect
+struct WgToSgElementwiseOp : public ConversionPattern {
+  WgToSgElementwiseOp(MLIRContext *ctx)
+      : ConversionPattern(MatchAnyOpTypeTag(), /*benefit=*/1, ctx) {}
+
+  LogicalResult
+  matchAndRewrite(Operation *op, ArrayRef<ValueRange> operands,
+                  ConversionPatternRewriter &rewriter) const override {
+    // Only match ops with elementwise trait and single result.
+    if (!OpTrait::hasElementwiseMappableTraits(op) || op->getNumResults() != 1)
+      return failure();
+
+    auto resultType = dyn_cast<VectorType>(op->getResult(0).getType());
+    ArrayRef<int64_t> wgShape = resultType.getShape();
+
+    xegpu::LayoutAttr layout = xegpu::getLayoutAttr(op->getResult(0));
+    if (!layout || !layout.getSgLayout())
+      return failure();
+
+    SmallVector<int64_t> sgShape = getSgShapeAndCount(wgShape, layout).first;
+
+    size_t numVariants = operands.empty() ? 0 : operands.front().size();
+    // Only VectorType operands are supported here.
+    // TODO: Support other types.
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nbpatel wrote:

my bad, fixed it

https://github.com/llvm/llvm-project/pull/142797