87b46776c4
It is sometimes better to make a copy of the OpResult instead of making a copy of the OpOperand. E.g., when bufferizing tensor.extract_slice. This implementation will eventually make parts of extract_slice's `bufferize` implementation obsolete (and simplify it). It will only need to handle in-place OpOperands. Differential Revision: https://reviews.llvm.org/D126819
19 lines
1.0 KiB
MLIR
19 lines
1.0 KiB
MLIR
// RUN: mlir-opt %s -tensor-copy-insertion -split-input-file | FileCheck %s
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// RUN: mlir-opt %s -tensor-copy-insertion="bufferize-function-boundaries allow-return-allocs" -split-input-file | FileCheck %s --check-prefix=CHECK-FUNC
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// CHECK-LABEL: func @extract_slice(
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// CHECK-SAME: %[[t:.*]]: tensor<?xf32>
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// CHECK-FUNC-LABEL: func @extract_slice(
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func.func @extract_slice(%t: tensor<?xf32>, %idx: index, %f: f32)
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-> (tensor<5xf32>, tensor<?xf32>)
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{
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// CHECK: %[[extract_slice:.*]] = tensor.extract_slice %[[t]][10] [5] [1]
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%0 = tensor.extract_slice %t[10][5][1] : tensor<?xf32> to tensor<5xf32>
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// CHECK: %[[alloc:.*]] = bufferization.alloc_tensor() copy(%[[extract_slice]]) {escape = false} : tensor<5xf32>
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// CHECK-FUNC: bufferization.alloc_tensor() copy(%{{.*}}) {escape = true} : tensor<5xf32>
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// CHECK: %[[insert:.*]] = tensor.insert %{{.*}} into %[[alloc]]
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%1 = tensor.insert %f into %0[%idx] : tensor<5xf32>
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// CHECK: return %[[insert]], %[[t]]
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return %1, %t : tensor<5xf32>, tensor<?xf32>
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}
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