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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/Pack.h"
#include <moco/IR/Nodes/TFPack.h>
#include <moco/IR/Nodes/TFConst.h>
#include <moco/Names.h>
#include <loco.h>
#include <loco/IR/NodeShape.h>
#include <plier/tf/Convert.h>
#include <memory>
#include <cassert>
namespace
{
using namespace moco;
class TFPackGraphUpdate final : public GraphUpdate
{
public:
TFPackGraphUpdate(TFPack *node, std::vector<TensorName> names) : _node(node), _names(names) {}
void input(const SymbolTable *) const override;
private:
TFPack *_node;
std::vector<TensorName> _names;
};
void TFPackGraphUpdate::input(const SymbolTable *tensor_names) const
{
uint32_t num_values = _names.size();
assert(num_values >= 1);
for (uint32_t i = 0; i < num_values; ++i)
{
auto input_node = tensor_names->node(_names[i]);
assert(input_node != nullptr);
_node->values(i, input_node);
}
}
} // namespace
namespace moco
{
bool PackGraphBuilder::validate(const tensorflow::NodeDef &node) const
{
if (!plier::tf::has_attrs(node, {"T", "N", "axis"}))
return false;
const int num_inputs = node.input_size();
return (num_inputs >= 1) && (num_inputs == plier::tf::get_int_attr(node, "N"));
}
void PackGraphBuilder::build(const tensorflow::NodeDef &node, GraphBuilderContext *context) const
{
assert(context != nullptr);
auto graph = context->graph();
auto tensor_names = context->tensor_names();
auto updates = context->updates();
const int num_inputs = node.input_size();
std::vector<TensorName> input_names;
auto pack_node = graph->nodes()->create<TFPack>(num_inputs);
pack_node->name(node.name());
for (int ni = 0; ni < num_inputs; ++ni)
{
input_names.push_back(TensorName(node.input(ni)));
}
pack_node->axis(plier::tf::get_int_attr(node, "axis"));
TensorName output_name(node.name(), 0);
tensor_names->enroll(output_name, pack_node);
auto update = std::make_unique<TFPackGraphUpdate>(pack_node, input_names);
updates->enroll(std::move(update));
}
} // namespace moco
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