[Mlir-commits] [mlir] [mlir][linalg] Enable scalable vectorization of linalg.unpack (PR #149293)

[Ege Beysel]

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@@ -1902,17 +1937,20 @@ vectorizeAsTensorUnpackOp(RewriterBase &rewriter, linalg::UnPackOp unpackOp,
   //   After applying outer_dims_perm: [8, 16]
   //   After appending the rest of the sourceShape: [8, 16, 32, 16]
 
-  SmallVector<int64_t> readVectorSizes(vectorSizes.begin(), vectorSizes.end());
-
-  for (auto [index, size] : enumerate(innerTiles)) {
-    readVectorSizes[innerDimPos[index]] =
-        llvm::divideCeil(readVectorSizes[innerDimPos[index]], size);
-  }
-  if (!outerDimsPerm.empty()) {
-    applyPermutationToVector(readVectorSizes, outerDimsPerm);
+  if (readVectorSizes.empty()) {
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egebeysel wrote:

I think it's quite understandable now, thanks! :) 

https://github.com/llvm/llvm-project/pull/149293