32 lines
1.1 KiB
MLIR
32 lines
1.1 KiB
MLIR
// RUN: mlir-opt %s \
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// RUN: -one-shot-bufferize="allow-unknown-ops create-deallocs=0" \
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// RUN: -split-input-file | \
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// RUN: FileCheck %s --check-prefix=CHECK-NODEALLOC
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// RUN: mlir-opt %s \
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// RUN: -one-shot-bufferize="allow-unknown-ops create-deallocs=0" \
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// RUN: -buffer-deallocation | \
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// RUN: FileCheck %s --check-prefix=CHECK-BUFFERDEALLOC
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// CHECK-NODEALLOC-LABEL: func @out_of_place_bufferization
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// CHECK-BUFFERDEALLOC-LABEL: func @out_of_place_bufferization
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func.func @out_of_place_bufferization(%t1 : tensor<?xf32>) -> (f32, f32) {
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// CHECK-NODEALLOC: memref.alloc
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// CHECK-NODEALLOC: memref.copy
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// CHECK-NODEALLOC-NOT: memref.dealloc
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// CHECK-BUFFERDEALLOC: %[[alloc:.*]] = memref.alloc
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// CHECK-BUFFERDEALLOC: memref.copy
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// CHECK-BUFFERDEALLOC: memref.dealloc %[[alloc]]
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%cst = arith.constant 0.0 : f32
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%idx = arith.constant 5 : index
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// This bufferizes out-of-place. An allocation + copy will be inserted.
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%0 = tensor.insert %cst into %t1[%idx] : tensor<?xf32>
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%1 = tensor.extract %t1[%idx] : tensor<?xf32>
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%2 = tensor.extract %0[%idx] : tensor<?xf32>
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return %1, %2 : f32, f32
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}
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