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fixup! fixup! [mlir][linalg] Add support for masked vectorization of tensor.insert_slice (2/N)
Fix capitalisation
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mlir/test/Dialect/Linalg/vectorization.mlir

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -1201,9 +1201,9 @@ func.func private @insert_slice_dynamic_dest_dim(%source: tensor<?x3x?x1xi32>, %
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// CHECK-LABEL: func.func private @insert_slice_dynamic_dest_dim(
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// CHECK-SAME: %[[SRC:.*]]: tensor<?x3x?x1xi32>,
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// CHECK-SAME: %[[size:.*]]: index) -> tensor<?x3xi32> {
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// CHECK-SAME: %[[SIZE:.*]]: index) -> tensor<?x3xi32> {
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// CHECK: %[[C_2:.*]] = arith.constant 2 : index
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// CHECK: %[[INIT:.*]] = tensor.empty(%[[size]]) : tensor<?x3xi32>
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// CHECK: %[[INIT:.*]] = tensor.empty(%[[SIZE]]) : tensor<?x3xi32>
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// CHECK: %[[SRC_SLICE:.*]] = tensor.extract_slice %[[SRC]][0, %[[C_2]], 0, 0] [1, 1, 5, 1] [1, 1, 1, 1] : tensor<?x3x?x1xi32> to tensor<5x1xi32>
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// CHECK: %[[PAD:.*]] = arith.constant 0 : i32
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// CHECK: %[[C_5:.*]] = arith.constant 5 : index

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