Maximum.cpp

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/*
 * Copyright (c) 2020 Samsung Electronics Co., Ltd. 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.
 */
 
#include "moco/Import/Nodes/Maximum.h"
 
#include <moco/IR/Nodes/TFMaximum.h>
 
#include <loco.h>
 
#include <memory>
 
namespace
{
 
using namespace moco;
 
class TFMaximumGraphUpdate final : public GraphUpdate
{
public:
  TFMaximumGraphUpdate(TFMaximum *node, std::vector<TensorName> names) : _node(node), _names(names)
  {
  }
 
  void input(const SymbolTable *) const override;
 
private:
  TFMaximum *_node;
  std::vector<TensorName> _names;
};
 
void TFMaximumGraphUpdate::input(const SymbolTable *tensor_names) const
{
  assert(_names.size() == 2);
 
  _node->x(tensor_names->node(_names[0]));
  _node->y(tensor_names->node(_names[1]));
}
 
} // namespace
 
namespace moco
{
 
bool MaximumGraphBuilder::validate(const tensorflow::NodeDef &node) const
{
  return node.input_size() == 2;
}
 
void MaximumGraphBuilder::build(const tensorflow::NodeDef &node, GraphBuilderContext *context) const
{
  assert(context != nullptr);
 
  loco::Graph *graph = context->graph();
  SymbolTable *tensor_names = context->tensor_names();
  UpdateQueue *updates = context->updates();
 
  // creating TF dialect Maximum node
  auto tf_maximum = graph->nodes()->create<TFMaximum>();
  tf_maximum->name(node.name());
 
  TensorName output_name(node.name(), 0);
  tensor_names->enroll(output_name, tf_maximum);
 
  std::vector<TensorName> add_input_names;
  add_input_names.push_back(TensorName(node.input(0))); // x
  add_input_names.push_back(TensorName(node.input(1))); // y
 
  auto tf_maximum_update = std::make_unique<TFMaximumGraphUpdate>(tf_maximum, add_input_names);
  updates->enroll(std::move(tf_maximum_update));
}
 
} // namespace moco