[Mlir-commits] [mlir] [mlir][linalg] Generate `vector.transfer_read` for contiguous `tensor.extract` loads (PR #76436)

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git-clang-format --diff 8190369e83c717ec6393e3b9ed62b6b70f9ab174 b7ac2ca6217b6e9653cab1c9e527a31d6ccddbb3 -- mlir/lib/Dialect/Linalg/Transforms/Vectorization.cpp
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View the diff from clang-format here.
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diff --git a/mlir/lib/Dialect/Linalg/Transforms/Vectorization.cpp b/mlir/lib/Dialect/Linalg/Transforms/Vectorization.cpp
index c840606c25..9e231d0e3d 100644
--- a/mlir/lib/Dialect/Linalg/Transforms/Vectorization.cpp
+++ b/mlir/lib/Dialect/Linalg/Transforms/Vectorization.cpp
@@ -846,7 +846,7 @@ static bool isLoopInvariantIdx(LinalgOp &linalgOp, Value &val) {
 //    %e1 = tensor.extract %arg0[.., %val1] : tensor<3x3xf32> would return false
 // TODO: Relax this requirement to cover cases for contiguous access where inner
 // dimensions of the tensor vary using linalg.generic while outer dimensions are
-// kept constant. 
+// kept constant.
 // Ex. %c0 = arith.constant 0 : index
 //     %val1 = linalg.index 0 : index
 //     %e1 = tensor.extract %arg0[%c0, %val1] : tensor<3x3xf32>

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https://github.com/llvm/llvm-project/pull/76436