| /* |
| * 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. |
| */ |
| #include "src/core/NEON/kernels/NEGenerateProposalsLayerKernel.h" |
| |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Utils.h" |
| #include "arm_compute/core/Window.h" |
| #include "src/core/AccessWindowStatic.h" |
| #include "src/core/CPP/Validate.h" |
| #include "src/core/helpers/AutoConfiguration.h" |
| #include "src/core/helpers/WindowHelpers.h" |
| |
| #include <arm_neon.h> |
| |
| namespace arm_compute |
| { |
| namespace |
| { |
| Status validate_arguments(const ITensorInfo *anchors, const ITensorInfo *all_anchors, const ComputeAnchorsInfo &info) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(anchors, all_anchors); |
| ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(anchors); |
| ARM_COMPUTE_RETURN_ERROR_ON(anchors->dimension(0) != info.values_per_roi()); |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_NOT_IN(anchors, DataType::QSYMM16, DataType::F16, DataType::F32); |
| ARM_COMPUTE_RETURN_ERROR_ON(anchors->num_dimensions() > 2); |
| if(all_anchors->total_size() > 0) |
| { |
| const size_t feature_height = info.feat_height(); |
| const size_t feature_width = info.feat_width(); |
| const size_t num_anchors = anchors->dimension(1); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(all_anchors, anchors); |
| ARM_COMPUTE_RETURN_ERROR_ON(all_anchors->num_dimensions() > 2); |
| ARM_COMPUTE_RETURN_ERROR_ON(all_anchors->dimension(0) != info.values_per_roi()); |
| ARM_COMPUTE_RETURN_ERROR_ON(all_anchors->dimension(1) != feature_height * feature_width * num_anchors); |
| |
| if(is_data_type_quantized(anchors->data_type())) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(anchors, all_anchors); |
| } |
| } |
| return Status{}; |
| } |
| |
| } // namespace |
| |
| NEComputeAllAnchorsKernel::NEComputeAllAnchorsKernel() |
| : _anchors(nullptr), _all_anchors(nullptr), _anchors_info(0.f, 0.f, 0.f) |
| { |
| } |
| |
| void NEComputeAllAnchorsKernel::configure(const ITensor *anchors, ITensor *all_anchors, const ComputeAnchorsInfo &info) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(anchors, all_anchors); |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(anchors->info(), all_anchors->info(), info)); |
| |
| // Metadata |
| const size_t num_anchors = anchors->info()->dimension(1); |
| const DataType data_type = anchors->info()->data_type(); |
| const float width = info.feat_width(); |
| const float height = info.feat_height(); |
| |
| // Initialize the output if empty |
| const TensorShape output_shape(info.values_per_roi(), width * height * num_anchors); |
| auto_init_if_empty(*all_anchors->info(), TensorInfo(output_shape, 1, data_type, anchors->info()->quantization_info())); |
| |
| // Set instance variables |
| _anchors = anchors; |
| _all_anchors = all_anchors; |
| _anchors_info = info; |
| |
| Window win = calculate_max_window(*all_anchors->info(), Steps(info.values_per_roi())); |
| |
| INEKernel::configure(win); |
| } |
| |
| Status NEComputeAllAnchorsKernel::validate(const ITensorInfo *anchors, const ITensorInfo *all_anchors, const ComputeAnchorsInfo &info) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(anchors, all_anchors, info)); |
| return Status{}; |
| } |
| |
| template <> |
| void NEComputeAllAnchorsKernel::internal_run<int16_t>(const Window &window) |
| { |
| Iterator all_anchors_it(_all_anchors, window); |
| Iterator anchors_it(_all_anchors, window); |
| |
| const size_t num_anchors = _anchors->info()->dimension(1); |
| const float stride = 1.f / _anchors_info.spatial_scale(); |
| const size_t feat_width = _anchors_info.feat_width(); |
| |
| const UniformQuantizationInfo qinfo = _anchors->info()->quantization_info().uniform(); |
| |
| execute_window_loop(window, [&](const Coordinates & id) |
| { |
| const size_t anchor_offset = id.y() % num_anchors; |
| |
| const auto out_anchor_ptr = reinterpret_cast<int16_t *>(all_anchors_it.ptr()); |
| const auto anchor_ptr = reinterpret_cast<int16_t *>(_anchors->ptr_to_element(Coordinates(0, anchor_offset))); |
| |
| const size_t shift_idy = id.y() / num_anchors; |
| const float shiftx = (shift_idy % feat_width) * stride; |
| const float shifty = (shift_idy / feat_width) * stride; |
| |
| const float new_anchor_x1 = dequantize_qsymm16(*anchor_ptr, qinfo.scale) + shiftx; |
| const float new_anchor_y1 = dequantize_qsymm16(*(1 + anchor_ptr), qinfo.scale) + shifty; |
| const float new_anchor_x2 = dequantize_qsymm16(*(2 + anchor_ptr), qinfo.scale) + shiftx; |
| const float new_anchor_y2 = dequantize_qsymm16(*(3 + anchor_ptr), qinfo.scale) + shifty; |
| |
| *out_anchor_ptr = quantize_qsymm16(new_anchor_x1, qinfo.scale); |
| *(out_anchor_ptr + 1) = quantize_qsymm16(new_anchor_y1, qinfo.scale); |
| *(out_anchor_ptr + 2) = quantize_qsymm16(new_anchor_x2, qinfo.scale); |
| *(out_anchor_ptr + 3) = quantize_qsymm16(new_anchor_y2, qinfo.scale); |
| }, |
| all_anchors_it); |
| } |
| |
| template <typename T> |
| void NEComputeAllAnchorsKernel::internal_run(const Window &window) |
| { |
| Iterator all_anchors_it(_all_anchors, window); |
| Iterator anchors_it(_all_anchors, window); |
| |
| const size_t num_anchors = _anchors->info()->dimension(1); |
| const T stride = 1.f / _anchors_info.spatial_scale(); |
| const size_t feat_width = _anchors_info.feat_width(); |
| |
| execute_window_loop(window, [&](const Coordinates & id) |
| { |
| const size_t anchor_offset = id.y() % num_anchors; |
| |
| const auto out_anchor_ptr = reinterpret_cast<T *>(all_anchors_it.ptr()); |
| const auto anchor_ptr = reinterpret_cast<T *>(_anchors->ptr_to_element(Coordinates(0, anchor_offset))); |
| |
| const size_t shift_idy = id.y() / num_anchors; |
| const T shiftx = (shift_idy % feat_width) * stride; |
| const T shifty = (shift_idy / feat_width) * stride; |
| |
| *out_anchor_ptr = *anchor_ptr + shiftx; |
| *(out_anchor_ptr + 1) = *(1 + anchor_ptr) + shifty; |
| *(out_anchor_ptr + 2) = *(2 + anchor_ptr) + shiftx; |
| *(out_anchor_ptr + 3) = *(3 + anchor_ptr) + shifty; |
| }, |
| all_anchors_it); |
| } |
| |
| void NEComputeAllAnchorsKernel::run(const Window &window, const ThreadInfo &info) |
| { |
| ARM_COMPUTE_UNUSED(info); |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); |
| |
| switch(_anchors->info()->data_type()) |
| { |
| case DataType::QSYMM16: |
| { |
| internal_run<int16_t>(window); |
| break; |
| } |
| #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| case DataType::F16: |
| { |
| internal_run<float16_t>(window); |
| break; |
| } |
| #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| case DataType::F32: |
| { |
| internal_run<float>(window); |
| break; |
| } |
| default: |
| { |
| ARM_COMPUTE_ERROR("Data type not supported"); |
| } |
| } |
| } |
| } // namespace arm_compute |