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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.
*/
#ifndef __ONERT_BACKEND_ACL_COMMON_ACL_SUB_TENSOR_ANALYZER_H__
#define __ONERT_BACKEND_ACL_COMMON_ACL_SUB_TENSOR_ANALYZER_H__
#include <ir/OperationVisitor.h>
#include <ir/Graph.h>
#include "ParentInfo.h"
namespace onert
{
namespace backend
{
namespace acl_common
{
/**
* @brief Class to analyze tensor subsumption
*/
class AclSubTensorAnalyzer : public ir::OperationVisitor
{
public:
/**
* @brief Construct a new SubTensorAnalyzer object
* @param[in] ctx Graph operand set
*/
AclSubTensorAnalyzer(const ir::Graph &graph) : _graph{graph}
{
// DO NOTHING
}
public:
void setLayout(ir::Layout layout) { _current_op_layout = layout; }
void visit(const ir::operation::Concat &node) override
{
// If operator is concat, fill subsumption info
int32_t axis_raw = node.param().axis;
const auto &output_index = node.getOutputs().at(0);
const auto &inputs = node.getInputs();
int32_t axis_point = 0;
const auto rank = _graph.operands().at(output_index).shape().rank();
int32_t axis = axis_raw < 0 ? (axis_raw + rank) : axis_raw;
assert(rank > axis);
for (const auto &ind : inputs)
{
// NOTE Not support the case that concat's input is a constant or a input of model
if (_graph.operands().at(ind).isConstant() || _graph.getInputs().contains(ind))
{
return;
}
}
for (const auto &input_index : inputs)
{
auto input_shape = _graph.operands().at(input_index).shape();
assert(rank == input_shape.rank());
ir::Coordinates coordinate_info{};
for (int i = 0; i < rank; i++)
{
coordinate_info.set(i, 0);
}
coordinate_info.set(axis, axis_point);
_parent_map.emplace(
input_index, acl_common::ParentInfo{output_index, _current_op_layout, coordinate_info});
axis_point += input_shape.dim(axis);
}
}
std::unordered_map<ir::OperandIndex, ParentInfo> &&releaseParentMap()
{
return std::move(_parent_map);
}
private:
const ir::Graph &_graph;
std::unordered_map<ir::OperandIndex, ParentInfo> _parent_map;
ir::Layout _current_op_layout{ir::Layout::UNKNOWN};
};
} // namespace acl_common
} // namespace backend
} // namespace onert
#endif // __ONERT_BACKEND_ACL_COMMON_ACL_SUB_TENSOR_ANALYZER_H__
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