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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/SquaredDifference.h"
#include <moco/IR/Nodes/TFSquaredDifference.h>
#include <loco.h>
#include <memory>
namespace
{
using namespace moco;
/**
* @brief GraphUpdate for TF SquaredDifference node
*/
class TFSquaredDifferenceGraphUpdate final : public GraphUpdate
{
public:
TFSquaredDifferenceGraphUpdate(TFSquaredDifference *node, std::vector<TensorName> names)
: _node(node), _names(names)
{
}
void input(const SymbolTable *) const override;
private:
TFSquaredDifference *_node;
std::vector<TensorName> _names;
};
void TFSquaredDifferenceGraphUpdate::input(const SymbolTable *table) const
{
assert(_names.size() == 2);
_node->x(table->node(_names[0]));
_node->y(table->node(_names[1]));
}
} // namespace
namespace moco
{
bool SquaredDifferenceGraphBuilder::validate(const tensorflow::NodeDef &node) const
{
return node.input_size() == 2;
}
void SquaredDifferenceGraphBuilder::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 SquaredDifference node
auto tf_sqdiff = graph->nodes()->create<TFSquaredDifference>();
tf_sqdiff->name(node.name());
// register string-name to node
TensorName output_name(node.name(), 0);
tensor_names->enroll(output_name, tf_sqdiff);
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
// Queue node input update
auto tf_sqrt_update =
std::make_unique<TFSquaredDifferenceGraphUpdate>(tf_sqdiff, add_input_names);
updates->enroll(std::move(tf_sqrt_update));
}
} // namespace moco
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