[Mlir-commits] [mlir] Fix unsupported transpose ops scalable (PR #86163)

llvmlistbot at llvm.org llvmlistbot at llvm.org
Thu Mar 21 11:06:02 PDT 2024


llvmbot wrote:


<!--LLVM PR SUMMARY COMMENT-->

@llvm/pr-subscribers-mlir-vector

Author: Crefeda Rodrigues (cfRod)

<details>
<summary>Changes</summary>

Addresses comment in https://github.com/llvm/llvm-project/pull/85632#discussion_r1530727576

---
Full diff: https://github.com/llvm/llvm-project/pull/86163.diff


2 Files Affected:

- (modified) mlir/lib/Dialect/Vector/Transforms/LowerVectorTransfer.cpp (+15-4) 
- (modified) mlir/test/Dialect/Vector/vector-transfer-permutation-lowering.mlir (+17) 


``````````diff
diff --git a/mlir/lib/Dialect/Vector/Transforms/LowerVectorTransfer.cpp b/mlir/lib/Dialect/Vector/Transforms/LowerVectorTransfer.cpp
index 4a5e8fcfb6edaf..570a5222862b72 100644
--- a/mlir/lib/Dialect/Vector/Transforms/LowerVectorTransfer.cpp
+++ b/mlir/lib/Dialect/Vector/Transforms/LowerVectorTransfer.cpp
@@ -41,8 +41,12 @@ static Value extendVectorRank(OpBuilder &builder, Location loc, Value vec,
   SmallVector<int64_t> newShape(addedRank, 1);
   newShape.append(originalVecType.getShape().begin(),
                   originalVecType.getShape().end());
-  VectorType newVecType =
-      VectorType::get(newShape, originalVecType.getElementType());
+
+  SmallVector<bool> newScalableDims(addedRank, false);
+  newScalableDims.append(originalVecType.getScalableDims().begin(),
+                         originalVecType.getScalableDims().end());
+  VectorType newVecType = VectorType::get(
+      newShape, originalVecType.getElementType(), newScalableDims);
   return builder.create<vector::BroadcastOp>(loc, newVecType, vec);
 }
 
@@ -201,12 +205,19 @@ struct TransferWritePermutationLowering
     // Generate new transfer_write operation.
     Value newVec = rewriter.create<vector::TransposeOp>(
         op.getLoc(), op.getVector(), indices);
+
+    auto vectorType = cast<VectorType>(newVec.getType());
+
+    if (vectorType.isScalable() && !*vectorType.getScalableDims().end()) {
+      rewriter.eraseOp(newVec.getDefiningOp());
+      return failure();
+    }
+
     auto newMap = AffineMap::getMinorIdentityMap(
         map.getNumDims(), map.getNumResults(), rewriter.getContext());
     rewriter.replaceOpWithNewOp<vector::TransferWriteOp>(
         op, newVec, op.getSource(), op.getIndices(), AffineMapAttr::get(newMap),
         op.getMask(), newInBoundsAttr);
-
     return success();
   }
 };
@@ -269,7 +280,7 @@ struct TransferWriteNonPermutationLowering
                                     missingInnerDim.size());
     // Mask: add unit dims at the end of the shape.
     Value newMask;
-    if (op.getMask())
+    if (op.getMask() && !op.getVectorType().isScalable())
       newMask = extendMaskRank(rewriter, op.getLoc(), op.getMask(),
                                missingInnerDim.size());
     exprs.append(map.getResults().begin(), map.getResults().end());
diff --git a/mlir/test/Dialect/Vector/vector-transfer-permutation-lowering.mlir b/mlir/test/Dialect/Vector/vector-transfer-permutation-lowering.mlir
index 13e07f59a72a77..83a7f21daf683f 100644
--- a/mlir/test/Dialect/Vector/vector-transfer-permutation-lowering.mlir
+++ b/mlir/test/Dialect/Vector/vector-transfer-permutation-lowering.mlir
@@ -41,6 +41,23 @@ func.func @permutation_with_mask_scalable(%2: memref<?x?xf32>, %dim_1: index, %d
   return %1 : vector<8x[4]x2xf32>
 }
 
+// CHECK-LABEL:   func.func @permutation_with_mask_transfer_write_scalable(
+// CHECK-SAME:                                                             %[[ARG_0:.*]]: vector<4x[8]xi16>,
+// CHECK-SAME:                                                             %[[ARG_1:.*]]: memref<1x4x?x1x1x1x1xi16>,
+// CHECK-SAME:                                                             %[[MASK:.*]]: vector<4x[8]xi1>) {
+// CHECK:           %[[C0:.*]] = arith.constant 0 : index
+// CHECK:           %[[BCAST:.*]] = vector.broadcast %[[ARG_0]] : vector<4x[8]xi16> to vector<1x1x1x1x4x[8]xi16>
+// CHECK:           vector.transfer_write %[[BCAST]], %[[ARG_1]]{{\[}}%[[C0]], %[[C0]], %[[C0]], %[[C0]], %[[C0]], %[[C0]], %[[C0]]] {in_bounds = [true, true, true, true, true, true], permutation_map = #map} : vector<1x1x1x1x4x[8]xi16>, memref<1x4x?x1x1x1x1xi16>
+// CHECK:           return
+// CHECK:         }
+  func.func @permutation_with_mask_transfer_write_scalable(%arg0: vector<4x[8]xi16>, %arg1: memref<1x4x?x1x1x1x1xi16>, %mask:  vector<4x[8]xi1>){
+     %c0 = arith.constant 0 : index
+      vector.transfer_write %arg0, %arg1[%c0, %c0, %c0, %c0, %c0, %c0, %c0], %mask {in_bounds = [true, true], permutation_map = affine_map<(d0, d1, d2, d3, d4, d5, d6) -> (d1, d2)>
+} : vector<4x[8]xi16>, memref<1x4x?x1x1x1x1xi16>
+
+    return
+  }
+
 module attributes {transform.with_named_sequence} {
   transform.named_sequence @__transform_main(%module_op: !transform.any_op {transform.readonly}) {
     %f = transform.structured.match ops{["func.func"]} in %module_op

``````````

</details>


https://github.com/llvm/llvm-project/pull/86163


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