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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 <stdex/Memory.h>
namespace
{
using namespace moco;
/**
* @brief GraphUpdate for TF Maximum node
*/
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 = stdex::make_unique<TFMaximumGraphUpdate>(tf_maximum, add_input_names);
updates->enroll(std::move(tf_maximum_update));
}
} // namespace moco
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