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[mlir][linalg] Refine test for tensor.pad vectorization #110742

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Oct 2, 2024
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[mlir][linalg] Refine test for tensor.pad vectorization #110742

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10 changes: 8 additions & 2 deletions mlir/test/Dialect/Linalg/vectorization-with-patterns.mlir
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Original file line number Diff line number Diff line change
Expand Up @@ -1091,9 +1091,15 @@ module attributes {transform.with_named_sequence} {
func.func private @make_vector() -> tensor<12x13xf32>

// CHECK-LABEL: func @pad_and_insert_slice_dest
// CHECK-SAME: %[[ARG0:.*]]: tensor<1x5x6xf32>
// Check the insert slice is not rewritten if the padded result is used by the destination operand.
// CHECK-NOT: tensor.pad
// CHECK: %[[EMPTY:.*]] = tensor.empty() : tensor<1x12x13xf32>
// CHECK: %[[WRITE_1:.*]] = vector.transfer_write %{{.*}}, %[[EMPTY]]{{.*}} : vector<1x12x13xf32>, tensor<1x12x13xf32>
// CHECK: %[[READ:.*]] = vector.transfer_read %[[ARG0:.*]]{{.*}} : tensor<1x5x6xf32>, vector<1x5x6xf32>
// CHECK: %[[WRITE_2:.*]] = vector.transfer_write %[[READ]], %[[WRITE_1]]{{.*}} : vector<1x5x6xf32>, tensor<1x12x13xf32>
// CHECK: %[[T1:.*]] = call @make_vector() : () -> tensor<12x13xf32>
// CHECK: = tensor.insert_slice %[[T1]] into
// CHECK: tensor.insert_slice %[[T1]] into %[[WRITE_2]]
func.func @pad_and_insert_slice_dest(
%arg0: tensor<1x5x6xf32>) -> tensor<1x12x13xf32> {
%c5 = arith.constant 5.0 : f32
Expand All @@ -1110,7 +1116,7 @@ module attributes {transform.with_named_sequence} {
transform.named_sequence @__transform_main(%arg1: !transform.any_op {transform.readonly}) {
%3 = transform.structured.match ops{["tensor.pad"]} in %arg1 : (!transform.any_op) -> !transform.any_op
%4 = transform.get_parent_op %3 {isolated_from_above} : (!transform.any_op) -> !transform.any_op
%5 = transform.structured.vectorize_children_and_apply_patterns %4 : (!transform.any_op) -> !transform.any_op
%5 = transform.structured.vectorize_children_and_apply_patterns %4 { vectorize_padding } : (!transform.any_op) -> !transform.any_op
transform.yield
}
}
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