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
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
|
/*
* 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 "TensorManager.h"
namespace neurun
{
namespace backend
{
namespace srcn
{
TensorManager::TensorManager() : _const_mgr{new MemoryManager()}, _nonconst_mgr{new MemoryManager()}
{
// DO NOTHING
}
void TensorManager::allocateConsts(void) { _const_mgr->allocate(); }
void TensorManager::allocateNonconsts(void) { _nonconst_mgr->allocate(); }
void TensorManager::deallocateConsts(void) { _const_mgr->deallocate(); }
void TensorManager::deallocateNonconsts(void) { _nonconst_mgr->deallocate(); }
void TensorManager::buildTensor(const model::OperandIndex &ind,
const model::OperandInfo &tensor_info, bool as_const)
{
assert(_ind_to_mgr.find(ind) == _ind_to_mgr.end());
if (as_const)
{
_const_mgr->buildTensor(ind, tensor_info);
_ind_to_mgr.insert({ind, *_const_mgr});
}
else
{
_nonconst_mgr->buildTensor(ind, tensor_info);
_ind_to_mgr.insert({ind, *_nonconst_mgr});
}
}
void TensorManager::claimPlan(const model::OperandIndex &ind, uint32_t size)
{
assert(_ind_to_mgr.find(ind) != _ind_to_mgr.end());
_ind_to_mgr.at(ind).claimPlan(ind, size);
}
void TensorManager::releasePlan(const model::OperandIndex &ind)
{
assert(_ind_to_mgr.find(ind) != _ind_to_mgr.end());
_ind_to_mgr.at(ind).releasePlan(ind);
}
std::shared_ptr<backend::operand::IObject> TensorManager::wrapTensor(const model::OperandIndex &ind)
{
assert(_ind_to_mgr.find(ind) != _ind_to_mgr.end());
return _ind_to_mgr.at(ind).wrapTensor(ind);
}
std::shared_ptr<operand::Tensor> TensorManager::at(const ::neurun::model::OperandIndex &ind)
{
assert(_ind_to_mgr.find(ind) != _ind_to_mgr.end());
return _ind_to_mgr.at(ind).tensors().at(ind);
}
model::OperandIndexMap<std::shared_ptr<operand::Tensor>> &TensorManager::constTensors(void)
{
return _const_mgr->tensors();
}
model::OperandIndexMap<std::shared_ptr<operand::Tensor>> &TensorManager::nonconstTensors(void)
{
return _nonconst_mgr->tensors();
}
void TensorManager::iterate(const std::function<void(const model::OperandIndex &)> &fn)
{
for (auto it : _nonconst_mgr->tensors())
fn(it.first);
for (auto it : _const_mgr->tensors())
fn(it.first);
}
} // namespace srcn
} // namespace backend
} // namespace neurun
|