1 /*
2 * Copyright (c) 2019-2020 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
30 #include <cstddef>
31 #include <ios>
32 #include <list>
33
34 namespace arm_compute
35 {
NEDetectionPostProcessLayer(std::shared_ptr<IMemoryManager> memory_manager)36 NEDetectionPostProcessLayer::NEDetectionPostProcessLayer(std::shared_ptr<IMemoryManager> memory_manager)
37 : _memory_group(std::move(memory_manager)), _dequantize(), _detection_post_process(), _decoded_scores(), _run_dequantize(false)
38 {
39 }
40
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)41 void NEDetectionPostProcessLayer::configure(const ITensor *input_box_encoding, const ITensor *input_scores, const ITensor *input_anchors,
42 ITensor *output_boxes, ITensor *output_classes, ITensor *output_scores, ITensor *num_detection, DetectionPostProcessLayerInfo info)
43 {
44 ARM_COMPUTE_ERROR_ON_NULLPTR(input_box_encoding, input_scores, input_anchors, output_boxes, output_classes, output_scores);
45 ARM_COMPUTE_ERROR_THROW_ON(NEDetectionPostProcessLayer::validate(input_box_encoding->info(), input_scores->info(), input_anchors->info(), output_boxes->info(), output_classes->info(),
46 output_scores->info(),
47 num_detection->info(), info));
48
49 const ITensor *input_scores_to_use = input_scores;
50 DetectionPostProcessLayerInfo info_to_use = info;
51 _run_dequantize = is_data_type_quantized(input_box_encoding->info()->data_type());
52
53 if(_run_dequantize)
54 {
55 _memory_group.manage(&_decoded_scores);
56
57 _dequantize.configure(input_scores, &_decoded_scores);
58
59 input_scores_to_use = &_decoded_scores;
60
61 // Create a new info struct to avoid dequantizing in the CPP layer
62 std::array<float, 4> scales_values{ info.scale_value_y(), info.scale_value_x(), info.scale_value_h(), info.scale_value_w() };
63 DetectionPostProcessLayerInfo info_quantized(info.max_detections(), info.max_classes_per_detection(), info.nms_score_threshold(), info.iou_threshold(), info.num_classes(),
64 scales_values, info.use_regular_nms(), info.detection_per_class(), false);
65 info_to_use = info_quantized;
66 }
67
68 _detection_post_process.configure(input_box_encoding, input_scores_to_use, input_anchors, output_boxes, output_classes, output_scores, num_detection, info_to_use);
69 _decoded_scores.allocator()->allocate();
70 }
71
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)72 Status NEDetectionPostProcessLayer::validate(const ITensorInfo *input_box_encoding, const ITensorInfo *input_scores, const ITensorInfo *input_anchors,
73 ITensorInfo *output_boxes, ITensorInfo *output_classes, ITensorInfo *output_scores, ITensorInfo *num_detection, DetectionPostProcessLayerInfo info)
74 {
75 bool run_dequantize = is_data_type_quantized(input_box_encoding->data_type());
76 if(run_dequantize)
77 {
78 TensorInfo decoded_classes_info = input_scores->clone()->set_is_resizable(true).set_data_type(DataType::F32);
79 ARM_COMPUTE_RETURN_ON_ERROR(NEDequantizationLayer::validate(input_scores, &decoded_classes_info));
80 }
81 ARM_COMPUTE_RETURN_ON_ERROR(CPPDetectionPostProcessLayer::validate(input_box_encoding, input_scores, input_anchors, output_boxes, output_classes, output_scores, num_detection, info));
82
83 return Status{};
84 }
85
run()86 void NEDetectionPostProcessLayer::run()
87 {
88 MemoryGroupResourceScope scope_mg(_memory_group);
89
90 // Decode scores if necessary
91 if(_run_dequantize)
92 {
93 _dequantize.run();
94 }
95 _detection_post_process.run();
96 }
97 } // namespace arm_compute
98