blob: 354a270e61e28457a673d3dc5de30e07e75c6634 (
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
78
79
|
/*
* 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.
*/
#ifndef __NEURUN_BACKEND_ITENSOR_BUILDER_H__
#define __NEURUN_BACKEND_ITENSOR_BUILDER_H__
#include <map>
#include "model/operand/Index.h"
#include "operand/IObject.h"
#include "compiler/SubTensorInfo.h"
#include "compiler/TensorInfo.h"
#include "backend/interface/operand/ITensor.h"
namespace neurun
{
namespace backend
{
struct ITensorBuilder
{
using IterateFunction = std::function<void(const model::operand::Index &)>;
virtual ~ITensorBuilder(void) = default;
// TODO Merge registerTensorInfo and registerSubTensorInfo using abstraction by internal class
/**
* @brief Register tensor information to allocate on backend
*/
virtual void registerTensorInfo(const model::operand::Index &, const compiler::TensorInfo &) = 0;
/**
* @brief Register subtensor information to allocate on backend
*/
virtual void registerSubTensorInfo(const model::operand::Index &,
const compiler::SubTensorInfo &) = 0;
virtual void notifyFirstUse(const model::operand::Index &) = 0;
virtual void notifyLastUse(const model::operand::Index &) = 0;
virtual void prepare(void) = 0;
virtual void allocate(void) = 0;
virtual std::shared_ptr<::neurun::backend::operand::ITensor>
tensorAt(const model::operand::Index &ind) = 0;
virtual std::shared_ptr<backend::operand::IObject>
wrapTensor(const model::operand::Index &ind) = 0;
virtual void iterate(const IterateFunction &fn) = 0;
};
} // namespace backend
} // namespace neurun
#include <set>
#include <memory>
namespace neurun
{
namespace backend
{
using TensorBuilderSet = std::set<std::shared_ptr<backend::ITensorBuilder>>;
} // namespace backend
} // namespace neurun
#endif // __NEURUN_BACKEND_ITENSOR_BUILDER_H__
|