/* Copyright 2017 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.
==============================================================================*/

#ifndef TENSORFLOW_COMPILER_XLA_SERVICE_DEFUSER_H_
#define TENSORFLOW_COMPILER_XLA_SERVICE_DEFUSER_H_

#include <utility>

#include "tensorflow/compiler/xla/service/hlo_module.h"
#include "tensorflow/compiler/xla/service/hlo_pass_interface.h"

namespace xla {

// A pass which replaces all fusion instructions with the equivalent un-fused
// instructions.
class Defuser : public HloModulePass {
 public:
  Defuser() {}
  ~Defuser() override {}
  absl::string_view name() const override { return "defuser"; }

  // Run defusion on the given module. Returns whether the module was
  // changed.
  StatusOr<bool> Run(HloModule* module) override;
};

}  // namespace xla

#endif  // TENSORFLOW_COMPILER_XLA_SERVICE_DEFUSER_H_