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
|
/*
* 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.
*/
/**
* @file FeatureSink.h
* @brief This file contains FeatureSink class
* @ingroup COM_AI_RUNTIME
*/
#ifndef __INTERNAL_FEATURE_SINK_H__
#define __INTERNAL_FEATURE_SINK_H__
#include "internal/Sink.h"
#include "internal/nnapi/feature/View.h"
#include "internal/arm_compute/feature/View.h"
#include <misc/feature/Shape.h>
#include "misc/feature/IndexIterator.h"
/**
* @brief Class to store Feature(4D) output data.
* This is for pulling data to internal tensor from other tensor.
* @tparam T Type of the data elements
*/
template <typename T> class FeatureSink final : public Sink
{
public:
/**
* @brief Construct a FeatureSink object
*
* @param[in] shape 4D tensor dimensions for this feature
* @param[in] base Base pointer of the actual data
* @param[in] size Size of the data
*/
FeatureSink(const nnfw::misc::feature::Shape &shape, T *base, const size_t size)
: _shape{shape}, _base{base}, _size{size}
{
// DO NOTHING
}
public:
/**
* @brief Pull the data into the internal structure
* @param[in] tensor The tensor which contains source data
* @return N/A
*/
void pull(::arm_compute::ITensor &tensor) const override
{
const ::internal::arm_compute::feature::View<T> from{&tensor};
// TODO Should remove casting.
// Inevitably casting must be done.
::internal::nnapi::feature::View<T> into{_shape, _base, _size};
::nnfw::misc::feature::iterate(_shape)
<< [&](uint32_t batch, uint32_t ch, uint32_t row, uint32_t col) {
const auto value = from.at(batch, ch, row, col);
into.at(batch, ch, row, col) = value;
};
}
private:
const nnfw::misc::feature::Shape _shape;
T *const _base;
const size_t _size;
};
#endif // __INTERNAL_FEATURE_SINK_H__
|
