Relu.cpp

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/*
 * Copyright (c) 2019 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/Relu.h"
 
#include <moco/IR/Nodes/TFRelu.h>
 
#include <moco/Names.h>
#include <loco.h>
 
#include <memory>
#include <cassert>
#include <stdexcept>
 
namespace
{
 
using namespace moco;
 
class TFReluGraphUpdate final : public GraphUpdate
{
public:
  TFReluGraphUpdate(TFRelu *node, const TensorName &&name) : _node(node), _name(name) {}
 
  void input(const SymbolTable *) const override;
 
private:
  TFRelu *_node;
  const TensorName _name;
};
 
void TFReluGraphUpdate::input(const SymbolTable *table) const
{
  loco::Node *target = table->node(_name);
  _node->features(target);
}
 
} // namespace
 
namespace moco
{
 
bool ReluGraphBuilder::validate(const tensorflow::NodeDef &node) const
{
  // ReLU node SHOULD have only one input
  if (node.input_size() != 1)
    return false;
 
  return true;
}
 
void ReluGraphBuilder::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();
 
  // Create a "TFRelu" node for Relu
  auto relu_node = graph->nodes()->create<TFRelu>();
  relu_node->name(node.name());
 
  // register string-name to node
  TensorName output_name(node.name(), 0);
  tensor_names->enroll(output_name, relu_node);
 
  // Queue node input update
  auto update = std::make_unique<TFReluGraphUpdate>(relu_node, TensorName(node.input(0)));
  updates->enroll(std::move(update));
}
 
} // namespace moco