1 /*
2 * Copyright (c) 2019-2021 Arm Limited.
3 *
4 * SPDX-License-Identifier: MIT
5 *
6 * Permission is hereby granted, free of charge, to any person obtaining a copy
7 * of this software and associated documentation files (the "Software"), to
8 * deal in the Software without restriction, including without limitation the
9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
10 * sell copies of the Software, and to permit persons to whom the Software is
11 * furnished to do so, subject to the following conditions:
12 *
13 * The above copyright notice and this permission notice shall be included in all
14 * copies or substantial portions of the Software.
15 *
16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22 * SOFTWARE.
23 */
24 #include "arm_compute/runtime/NEON/functions/NEDetectionPostProcessLayer.h"
25
26 #include "arm_compute/core/Error.h"
27 #include "arm_compute/core/Helpers.h"
28 #include "arm_compute/core/Validate.h"
29 #include "src/common/utils/Log.h"
30
31 #include <cstddef>
32 #include <ios>
33 #include <list>
34
35 namespace arm_compute
36 {
NEDetectionPostProcessLayer(std::shared_ptr<IMemoryManager> memory_manager)37 NEDetectionPostProcessLayer::NEDetectionPostProcessLayer(std::shared_ptr<IMemoryManager> memory_manager)
38 : _memory_group(std::move(memory_manager)), _dequantize(), _detection_post_process(), _decoded_scores(), _run_dequantize(false)
39 {
40 }
41
configure(const ITensor * input_box_encoding,const ITensor * input_scores,const ITensor * input_anchors,ITensor * output_boxes,ITensor * output_classes,ITensor * output_scores,ITensor * num_detection,DetectionPostProcessLayerInfo info)42 void NEDetectionPostProcessLayer::configure(const ITensor *input_box_encoding, const ITensor *input_scores, const ITensor *input_anchors,
43 ITensor *output_boxes, ITensor *output_classes, ITensor *output_scores, ITensor *num_detection, DetectionPostProcessLayerInfo info)
44 {
45 ARM_COMPUTE_ERROR_ON_NULLPTR(input_box_encoding, input_scores, input_anchors, output_boxes, output_classes, output_scores);
46 ARM_COMPUTE_ERROR_THROW_ON(NEDetectionPostProcessLayer::validate(input_box_encoding->info(), input_scores->info(), input_anchors->info(), output_boxes->info(), output_classes->info(),
47 output_scores->info(),
48 num_detection->info(), info));
49 ARM_COMPUTE_LOG_PARAMS(input_box_encoding, input_scores, input_anchors, output_boxes, output_classes, output_scores, num_detection, info);
50
51 const ITensor *input_scores_to_use = input_scores;
52 DetectionPostProcessLayerInfo info_to_use = info;
53 _run_dequantize = is_data_type_quantized(input_box_encoding->info()->data_type());
54
55 if(_run_dequantize)
56 {
57 _memory_group.manage(&_decoded_scores);
58
59 _dequantize.configure(input_scores, &_decoded_scores);
60
61 input_scores_to_use = &_decoded_scores;
62
63 // Create a new info struct to avoid dequantizing in the CPP layer
64 std::array<float, 4> scales_values{ info.scale_value_y(), info.scale_value_x(), info.scale_value_h(), info.scale_value_w() };
65 DetectionPostProcessLayerInfo info_quantized(info.max_detections(), info.max_classes_per_detection(), info.nms_score_threshold(), info.iou_threshold(), info.num_classes(),
66 scales_values, info.use_regular_nms(), info.detection_per_class(), false);
67 info_to_use = info_quantized;
68 }
69
70 _detection_post_process.configure(input_box_encoding, input_scores_to_use, input_anchors, output_boxes, output_classes, output_scores, num_detection, info_to_use);
71 _decoded_scores.allocator()->allocate();
72 }
73
validate(const ITensorInfo * input_box_encoding,const ITensorInfo * input_scores,const ITensorInfo * input_anchors,ITensorInfo * output_boxes,ITensorInfo * output_classes,ITensorInfo * output_scores,ITensorInfo * num_detection,DetectionPostProcessLayerInfo info)74 Status NEDetectionPostProcessLayer::validate(const ITensorInfo *input_box_encoding, const ITensorInfo *input_scores, const ITensorInfo *input_anchors,
75 ITensorInfo *output_boxes, ITensorInfo *output_classes, ITensorInfo *output_scores, ITensorInfo *num_detection, DetectionPostProcessLayerInfo info)
76 {
77 bool run_dequantize = is_data_type_quantized(input_box_encoding->data_type());
78 if(run_dequantize)
79 {
80 TensorInfo decoded_classes_info = input_scores->clone()->set_is_resizable(true).set_data_type(DataType::F32);
81 ARM_COMPUTE_RETURN_ON_ERROR(NEDequantizationLayer::validate(input_scores, &decoded_classes_info));
82 }
83 ARM_COMPUTE_RETURN_ON_ERROR(CPPDetectionPostProcessLayer::validate(input_box_encoding, input_scores, input_anchors, output_boxes, output_classes, output_scores, num_detection, info));
84
85 return Status{};
86 }
87
run()88 void NEDetectionPostProcessLayer::run()
89 {
90 MemoryGroupResourceScope scope_mg(_memory_group);
91
92 // Decode scores if necessary
93 if(_run_dequantize)
94 {
95 _dequantize.run();
96 }
97 _detection_post_process.run();
98 }
99 } // namespace arm_compute
100