blob: 446427d64ebad73311215196b5d10918ec09fcfb (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
|
/*
* 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_CONTROLFLOW_DYNAMICTENSOR_MANAGER_H__
#define __ONERT_BACKEND_CONTROLFLOW_DYNAMICTENSOR_MANAGER_H__
#include "UserTensorRegistry.h"
#include <backend/IDynamicTensorManager.h>
#include <backend/cpu_common/MemoryManager.h>
#include <backend/cpu_common/TensorRegistry.h>
#include <ir/OperandInfo.h>
#include <ir/Operation.h>
#include <ir/Index.h>
namespace onert
{
namespace backend
{
namespace controlflow
{
// TODO Find optimized algorithm to manage memory.
/**
* @brief Class to manage dynamic tensor and its memory
*/
class DynamicTensorManager : public backend::IDynamicTensorManager
{
public:
DynamicTensorManager(const std::shared_ptr<cpu_common::TensorRegistry> ®,
const std::shared_ptr<UserTensorRegistry> &user_reg);
virtual ~DynamicTensorManager() = default;
void applyShape(const ir::OperandIndex &ind, const ir::Shape &new_shape) override;
void buildTensor(const ir::OperandIndex &ind, const ir::OperandInfo &tensor_info,
ir::Layout backend_layout);
void planDealloc(ir::OperationIndex op_ind, ir::OperandIndex operand_ind) override;
void deallocInput(ir::OperationIndex op_ind) override;
void deallocSubgraphOutput(ir::OperandIndex ind) override;
private:
/**
* @brief Memory manager for dynamic tensor.
* @todo DynamicMemoryManager is not optimized. Optimized one is needed
*/
std::shared_ptr<cpu_common::DynamicMemoryManager> _dynamic_mem_mgr;
// TODO Refactoring : Merge two TensorRegistries into one
const std::shared_ptr<cpu_common::TensorRegistry> _tensors;
const std::shared_ptr<UserTensorRegistry> _user_tensors;
// contains list of dynamic tensor index, which can be deallocated after running operation
// note: this map could contain static tensor index too. Careful use is required.
std::unordered_map<ir::OperationIndex, std::unordered_set<ir::OperandIndex>> _dealloc_tensor_map;
};
} // namespace controlflow
} // namespace backend
} // namespace onert
#endif // __ONERT_BACKEND_CONTROLFLOW_DYNAMICTENSOR_MANAGER_H__
|
