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/* Copyright 2021 The TensorFlow Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
// This file contains LmhloStructuredInterface, which provides access to 'LmhloOp'
// interface.
#ifndef MLIR_LMHLO_STRUCTURED_INTERFACE
#define MLIR_LMHLO_STRUCTURED_INTERFACE
include "mlir/IR/OpBase.td"
def LmhloStructuredInterface : OpInterface<"LmhloOp"> {
let cppNamespace = "::mlir::lmhlo";
let methods = [
InterfaceMethod<
/*desc=*/[{Return the operand that is the output buffer
}],
/*retTy=*/"Value",
/*methodName=*/"getResultBuffer",
/*args=*/(ins),
/*methodBody=*/[{}],
/*defaultImplementation=*/[{
/// By default, the result buffer is the last operand
unsigned num_operands = this->getOperation()->getNumOperands();
if (num_operands > 1) {
return this->getOperation()->getOperand(num_operands - 1);
}
return nullptr;
}]
>,
];
}
#endif // MLIR_LMHLO_STRUCTURED_INTERFACE