[Mlir-commits] [mlir] [mlir][Vectorizer] Added support to Vectorize tensor.unpack (PR #76087)

[Diego Caballero]

================
@@ -1559,6 +1571,90 @@ vectorizeAsTensorPackOp(RewriterBase &rewriter, tensor::PackOp packOp,
   return success();
 }
 
+/// Vectorize a `tensor::UnPackOp` without OuterDimsPerms to these 4 Ops:
+///   Vector::TransferReadOp - Reads a vector from the source tensor
+///   vector::TransposeOp - Transpose the Source tensor
+///   ShapeCastOp - Reshape the data based on the target.
+///   vector::TransferWriteOp. - Write the result vector back to the destination
+///   tensor
+static LogicalResult vectorizeAsUnpackOp(RewriterBase &rewriter,
+                                         tensor::UnPackOp unpackOp,
+                                         ArrayRef<int64_t> inputVectorSizes,
+                                         SmallVectorImpl<Value> &newResults) {
+
+  OpBuilder::InsertionGuard g(rewriter);
+  rewriter.setInsertionPoint(unpackOp);
+
+  RankedTensorType unpackTensorType = unpackOp.getSourceType();
+
+  SmallVector<int64_t> readMaskShape(unpackTensorType.getShape());
+  llvm::ArrayRef<int64_t> innerDimPos = unpackOp.getInnerDimsPos();
+  llvm::ArrayRef<int64_t> innerTiles = unpackOp.getStaticInnerTiles();
+  for (unsigned int i = 0; i < inputVectorSizes.size(); i++) {
+    readMaskShape[i] = inputVectorSizes[i];
+  }
----------------
dcaballe wrote:

`SmallVector<int64_t> readMaskShape(inputVectorSizes.begin(), inputVectorSizes.end())`

https://github.com/llvm/llvm-project/pull/76087