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
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
|
/*
* Copyright (c) 2019-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef ARM_COMPUTE_CLGENERATEPROPOSALSLAYER_H
#define ARM_COMPUTE_CLGENERATEPROPOSALSLAYER_H
#include "arm_compute/core/CL/kernels/CLBoundingBoxTransformKernel.h"
#include "arm_compute/core/CL/kernels/CLDequantizationLayerKernel.h"
#include "arm_compute/core/CL/kernels/CLGenerateProposalsLayerKernel.h"
#include "arm_compute/core/CL/kernels/CLPadLayerKernel.h"
#include "arm_compute/core/CL/kernels/CLPermuteKernel.h"
#include "arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/CL/CLScheduler.h"
#include "arm_compute/runtime/CL/CLTensor.h"
#include "arm_compute/runtime/CL/functions/CLReshapeLayer.h"
#include "arm_compute/runtime/CPP/CPPScheduler.h"
#include "arm_compute/runtime/CPP/functions/CPPBoxWithNonMaximaSuppressionLimit.h"
#include "arm_compute/runtime/IFunction.h"
#include "arm_compute/runtime/MemoryGroup.h"
namespace arm_compute
{
class ICLTensor;
/** Basic function to generate proposals for a RPN (Region Proposal Network)
*
* This function calls the following OpenCL kernels:
* -# @ref CLComputeAllAnchors
* -# @ref CLPermute x 2
* -# @ref CLReshapeLayer x 2
* -# @ref CLBoundingBoxTransform
* -# @ref CLPadLayerKernel
* -# @ref CLDequantizationLayerKernel x 2
* -# @ref CLQuantizationLayerKernel
* And the following CPP functions:
* -# @ref CPPBoxWithNonMaximaSuppressionLimit
*/
class CLGenerateProposalsLayer : public IFunction
{
public:
/** Default constructor
*
* @param[in] memory_manager (Optional) Memory manager.
*/
CLGenerateProposalsLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLGenerateProposalsLayer(const CLGenerateProposalsLayer &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLGenerateProposalsLayer &operator=(const CLGenerateProposalsLayer &) = delete;
/** Set the input and output tensors.
*
* @param[in] scores Scores from convolution layer of size (W, H, A), where H and W are the height and width of the feature map, and A is the number of anchors.
* Data types supported: QASYMM8/F16/F32
* @param[in] deltas Bounding box deltas from convolution layer of size (W, H, 4*A). Data types supported: Same as @p scores
* @param[in] anchors Anchors tensor of size (4, A). Data types supported: QSYMM16 with scale of 0.125 if @p scores is QASYMM8, otherwise same as @p scores
* @param[out] proposals Box proposals output tensor of size (5, W*H*A).
* Data types supported: QASYMM16 with scale of 0.125 and 0 offset if @p scores is QASYMM8, otherwise same as @p scores
* @param[out] scores_out Box scores output tensor of size (W*H*A). Data types supported: Same as @p scores
* @param[out] num_valid_proposals Scalar output tensor which says which of the first proposals are valid. Data types supported: U32
* @param[in] info Contains GenerateProposals operation information described in @ref GenerateProposalsInfo
*
* @note Only single image prediction is supported. Height and Width (and scale) of the image will be contained in the @ref GenerateProposalsInfo struct.
* @note Proposals contains all the proposals. Of those, only the first num_valid_proposals are valid.
*/
void configure(const ICLTensor *scores, const ICLTensor *deltas, const ICLTensor *anchors, ICLTensor *proposals, ICLTensor *scores_out, ICLTensor *num_valid_proposals,
const GenerateProposalsInfo &info);
/** Set the input and output tensors.
*
* @param[in] compile_context The compile context to be used.
* @param[in] scores Scores from convolution layer of size (W, H, A), where H and W are the height and width of the feature map, and A is the number of anchors.
* Data types supported: QASYMM8/F16/F32
* @param[in] deltas Bounding box deltas from convolution layer of size (W, H, 4*A). Data types supported: Same as @p scores
* @param[in] anchors Anchors tensor of size (4, A). Data types supported: QSYMM16 with scale of 0.125 if @p scores is QASYMM8, otherwise same as @p scores
* @param[out] proposals Box proposals output tensor of size (5, W*H*A).
* Data types supported: QASYMM16 with scale of 0.125 and 0 offset if @p scores is QASYMM8, otherwise same as @p scores
* @param[out] scores_out Box scores output tensor of size (W*H*A). Data types supported: Same as @p scores
* @param[out] num_valid_proposals Scalar output tensor which says which of the first proposals are valid. Data types supported: U32
* @param[in] info Contains GenerateProposals operation information described in @ref GenerateProposalsInfo
*
* @note Only single image prediction is supported. Height and Width (and scale) of the image will be contained in the @ref GenerateProposalsInfo struct.
* @note Proposals contains all the proposals. Of those, only the first num_valid_proposals are valid.
*/
void configure(const CLCompileContext &compile_context, const ICLTensor *scores, const ICLTensor *deltas, const ICLTensor *anchors, ICLTensor *proposals, ICLTensor *scores_out,
ICLTensor *num_valid_proposals, const GenerateProposalsInfo &info);
/** Static function to check if given info will lead to a valid configuration of @ref CLGenerateProposalsLayer
*
* @param[in] scores Scores info from convolution layer of size (W, H, A), where H and W are the height and width of the feature map, and A is the number of anchors.
* Data types supported: QASYMM8/F16/F32
* @param[in] deltas Bounding box deltas info from convolution layer of size (W, H, 4*A). Data types supported: Same as @p scores
* @param[in] anchors Anchors tensor of size (4, A). Data types supported: QSYMM16 with scale of 0.125 if @p scores is QASYMM8, otherwise same as @p scores
* @param[in] proposals Box proposals info output tensor of size (5, W*H*A).
* Data types supported: QASYMM16 with scale of 0.125 and 0 offset if @p scores is QASYMM8, otherwise same as @p scores
* @param[in] scores_out Box scores output tensor info of size (W*H*A). Data types supported: Same as @p scores
* @param[in] num_valid_proposals Scalar output tensor info which says which of the first proposals are valid. Data types supported: U32
* @param[in] info Contains GenerateProposals operation information described in @ref GenerateProposalsInfo
*
* @return a Status
*/
static Status validate(const ITensorInfo *scores, const ITensorInfo *deltas, const ITensorInfo *anchors, const ITensorInfo *proposals, const ITensorInfo *scores_out,
const ITensorInfo *num_valid_proposals,
const GenerateProposalsInfo &info);
// Inherited methods overridden:
void run() override;
private:
// Memory group manager
MemoryGroup _memory_group;
// OpenCL kernels
CLPermuteKernel _permute_deltas_kernel;
CLReshapeLayer _flatten_deltas;
CLPermuteKernel _permute_scores_kernel;
CLReshapeLayer _flatten_scores;
CLComputeAllAnchorsKernel _compute_anchors_kernel;
CLBoundingBoxTransformKernel _bounding_box_kernel;
CLPadLayerKernel _pad_kernel;
CLDequantizationLayerKernel _dequantize_anchors;
CLDequantizationLayerKernel _dequantize_deltas;
CLQuantizationLayerKernel _quantize_all_proposals;
// CPP functions
CPPBoxWithNonMaximaSuppressionLimit _cpp_nms;
bool _is_nhwc;
bool _is_qasymm8;
// Temporary tensors
CLTensor _deltas_permuted;
CLTensor _deltas_flattened;
CLTensor _deltas_flattened_f32;
CLTensor _scores_permuted;
CLTensor _scores_flattened;
CLTensor _all_anchors;
CLTensor _all_anchors_f32;
CLTensor _all_proposals;
CLTensor _all_proposals_quantized;
CLTensor _keeps_nms_unused;
CLTensor _classes_nms_unused;
CLTensor _proposals_4_roi_values;
// Temporary tensor pointers
CLTensor *_all_proposals_to_use;
// Output tensor pointers
ICLTensor *_num_valid_proposals;
ICLTensor *_scores_out;
/** Internal function to run the CPP BoxWithNMS kernel */
void run_cpp_nms_kernel();
};
} // namespace arm_compute
#endif /* ARM_COMPUTE_CLGENERATEPROPOSALSLAYER_H */
|