| /* |
| * Copyright (c) 2019 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. |
| */ |
| #include "arm_compute/runtime/NEON/functions/NEDetectionPostProcessLayer.h" |
| |
| #include "arm_compute/core/Error.h" |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/Validate.h" |
| #include "support/ToolchainSupport.h" |
| |
| #include <cstddef> |
| #include <ios> |
| #include <list> |
| |
| namespace arm_compute |
| { |
| NEDetectionPostProcessLayer::NEDetectionPostProcessLayer(std::shared_ptr<IMemoryManager> memory_manager) |
| : _memory_group(std::move(memory_manager)), _dequantize(), _detection_post_process(), _decoded_scores(), _run_dequantize(false) |
| { |
| } |
| |
| void NEDetectionPostProcessLayer::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) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input_box_encoding, input_scores, input_anchors, output_boxes, output_classes, output_scores); |
| ARM_COMPUTE_ERROR_THROW_ON(NEDetectionPostProcessLayer::validate(input_box_encoding->info(), input_scores->info(), input_anchors->info(), output_boxes->info(), output_classes->info(), |
| output_scores->info(), |
| num_detection->info(), info)); |
| |
| const ITensor *input_scores_to_use = input_scores; |
| DetectionPostProcessLayerInfo info_to_use = info; |
| _run_dequantize = is_data_type_quantized(input_box_encoding->info()->data_type()); |
| |
| if(_run_dequantize) |
| { |
| _memory_group.manage(&_decoded_scores); |
| |
| _dequantize.configure(input_scores, &_decoded_scores); |
| |
| input_scores_to_use = &_decoded_scores; |
| |
| // Create a new info struct to avoid dequantizing in the CPP layer |
| std::array<float, 4> scales_values{ info.scale_value_y(), info.scale_value_x(), info.scale_value_h(), info.scale_value_w() }; |
| DetectionPostProcessLayerInfo info_quantized(info.max_detections(), info.max_classes_per_detection(), info.nms_score_threshold(), info.iou_threshold(), info.num_classes(), |
| scales_values, info.use_regular_nms(), info.detection_per_class(), false); |
| info_to_use = info_quantized; |
| } |
| |
| _detection_post_process.configure(input_box_encoding, input_scores_to_use, input_anchors, output_boxes, output_classes, output_scores, num_detection, info_to_use); |
| _decoded_scores.allocator()->allocate(); |
| } |
| |
| Status NEDetectionPostProcessLayer::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) |
| { |
| bool run_dequantize = is_data_type_quantized(input_box_encoding->data_type()); |
| if(run_dequantize) |
| { |
| TensorInfo decoded_classes_info = input_scores->clone()->set_is_resizable(true).set_data_type(DataType::F32); |
| ARM_COMPUTE_RETURN_ON_ERROR(NEDequantizationLayer::validate(input_scores, &decoded_classes_info)); |
| } |
| ARM_COMPUTE_RETURN_ON_ERROR(CPPDetectionPostProcessLayer::validate(input_box_encoding, input_scores, input_anchors, output_boxes, output_classes, output_scores, num_detection, info)); |
| |
| return Status{}; |
| } |
| |
| void NEDetectionPostProcessLayer::run() |
| { |
| MemoryGroupResourceScope scope_mg(_memory_group); |
| |
| // Decode scores if necessary |
| if(_run_dequantize) |
| { |
| _dequantize.run(); |
| } |
| _detection_post_process.run(); |
| } |
| } // namespace arm_compute |