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/*
* Copyright (c) 2018 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 "SubTensorAnalyzer.h"
#include <typeinfo>
#include "cpp14/memory.h"
#include "model/OperandIndexSequence.h"
#include "util/logging.h"
#include "util/Coordinates.h"
namespace neurun
{
namespace compiler
{
void SubTensorAnalyzer::visit(const model::operation::ConcatNode &node)
{
// If operator is concat (or other operators related with subsumption), fill subsumption info
// TODO: if one tensor is subset of many parents or model input
// Solution 1. Handle 1st parent only, ignore others (need to invert for other children)
// Solution 2. Insert copy operation for other parents
int32_t axis_raw = node.param().axis;
auto &output_index = node.getOutputs().at(0);
auto &inputs = node.getInputs();
int32_t axis_point = 0;
const auto rank = _ctx.at(output_index).shape().rank();
int32_t axis = axis_raw < 0 ? (axis_raw + rank) : axis_raw;
assert(rank > axis);
// NOTE Not support multiple parent tensor yet
for (auto &input_index : inputs)
{
if (_ctx.at(input_index).parent_info() != nullptr)
{
return;
}
}
for (auto &input_index : inputs)
{
auto input_shape = _ctx.at(input_index).shape();
assert(rank == input_shape.rank());
neurun::util::Coordinates coordinate_info{};
for (int i = 0; i < rank; i++)
{
coordinate_info.set(i, 0);
}
coordinate_info.set(axis, axis_point);
std::unique_ptr<graph::operand::ParentInfo> parentInfo =
nnfw::cpp14::make_unique<graph::operand::ParentInfo>(output_index, coordinate_info);
_ctx.at(input_index).parent_info(std::move(parentInfo));
axis_point += input_shape.dim(axis);
}
}
} // namespace compiler
} // namespace neurun
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