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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/Shape.h"
#include <moco/IR/Nodes/TFShape.h>
#include <loco.h>
#include <plier/tf/Convert.h>
#include <memory>
namespace
{
using namespace moco;
/**
* @brief GraphUpdate for Shape node
*/
class ShapeGraphUpdate final : public GraphUpdate
{
public:
ShapeGraphUpdate(TFShape *node, const TensorName &&input_name)
: _node(node), _input_name(input_name)
{
// DO NOTHING
}
void input(const SymbolTable *) const override;
private:
TFShape *_node;
const TensorName _input_name;
};
void ShapeGraphUpdate::input(const SymbolTable *table) const
{
loco::Node *input_node = table->node(_input_name);
_node->input(input_node);
}
} // namespace
namespace moco
{
bool ShapeGraphBuilder::validate(const tensorflow::NodeDef &node) const
{
if (node.input_size() != 1)
return false;
return plier::tf::has_attrs(node, {"T"});
}
void ShapeGraphBuilder::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 TF dialect Shape node
auto tf_shape = graph->nodes()->create<TFShape>();
tf_shape->name(node.name());
if (plier::tf::has_attrs(node, {"out_type"}))
{
auto dtype = plier::tf::as_loco_datatype(plier::tf::get_datatype_attr(node, "out_type"));
// TODO Support other dtype like S64
assert(dtype == loco::DataType::S32);
tf_shape->dtype(dtype);
}
else
{
// Set to S32, TF-documented default value for 'out_type'
tf_shape->dtype(loco::DataType::S32);
}
TensorName output_name(node.name(), 0);
tensor_names->enroll(output_name, tf_shape);
auto update = std::make_unique<ShapeGraphUpdate>(tf_shape, TensorName(node.input(0)));
updates->enroll(std::move(update));
}
} // namespace moco
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