56 lines
2.4 KiB
MLIR
56 lines
2.4 KiB
MLIR
// RUN: mlir-opt %s -linalg-comprehensive-module-bufferize="test-analysis-only allow-return-allocs init-tensor-elimination" -split-input-file | FileCheck %s
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// -----
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//===----------------------------------------------------------------------===//
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// InitTensorOp elimination
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//===----------------------------------------------------------------------===//
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// CHECK-LABEL: func @buffer_forwarding_conflict
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func @buffer_forwarding_conflict(%arg0: tensor<?xf32> {linalg.inplaceable = true}, %arg1: index) -> (tensor<?xf32>, tensor<?xf32>) {
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%cst = arith.constant 0.000000e+00 : f32
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// CHECK: tensor.extract_slice
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// CHECK-SAME: {__inplace_operands_attr__ = ["false", "none"]
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// Instead of allocating, share buffer with some inplace bufferization?
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%0 = linalg.init_tensor [%arg1] : tensor<?xf32>
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// CHECK: linalg.fill
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// CHECK-SAME: {__inplace_operands_attr__ = ["none", "true"]
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%1 = linalg.fill ins(%cst : f32) outs(%0 : tensor<?xf32>) -> tensor<?xf32>
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// CHECK: tensor.insert_slice
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// CHECK-SAME: {__inplace_operands_attr__ = ["true", "false", "none"]
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%2 = tensor.insert_slice %1 into %arg0[0] [%arg1] [1] : tensor<?xf32> into tensor<?xf32>
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// CHECK: tensor.insert_slice
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// CHECK-SAME: {__inplace_operands_attr__ = ["true", "true", "none"]
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%3 = tensor.insert_slice %1 into %arg0[42] [%arg1] [1] : tensor<?xf32> into tensor<?xf32>
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// CHECK: return
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// CHECK-SAME: __equivalent_func_args__ = [-1, 0]
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return %2, %3 : tensor<?xf32>, tensor<?xf32>
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}
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// -----
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// CHECK-LABEL: func @buffer_forwarding_no_conflict
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func @buffer_forwarding_no_conflict(%arg0: tensor<?xf32> {linalg.inplaceable = true}, %arg1: index) -> (tensor<?xf32>, tensor<?xf32>) {
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%cst = arith.constant 0.000000e+00 : f32
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// CHECK: tensor.extract_slice
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// CHECK-SAME: {__inplace_operands_attr__ = ["true", "none"]
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// Instead of allocating, share buffer with some inplace bufferization?
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%0 = linalg.init_tensor [%arg1] : tensor<?xf32>
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// CHECK: linalg.fill
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// CHECK-SAME: {__inplace_operands_attr__ = ["none", "true"]
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%1 = linalg.fill ins(%cst : f32) outs(%0 : tensor<?xf32>) -> tensor<?xf32>
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// CHECK: tensor.insert_slice
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// CHECK-SAME: {__inplace_operands_attr__ = ["true", "true", "none"]
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%2 = tensor.insert_slice %1 into %arg0[42] [%arg1] [1] : tensor<?xf32> into tensor<?xf32>
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// CHECK: return
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// CHECK-SAME: __equivalent_func_args__ = [0, 0]
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return %2, %2 : tensor<?xf32>, tensor<?xf32>
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}
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