| /* |
| * Copyright (c) 2018-2020 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/NEYOLOLayerKernel.h" |
| |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/ITensor.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Utils.h" |
| #include "arm_compute/core/Validate.h" |
| #include "arm_compute/core/Window.h" |
| #include "src/core/CPP/Validate.h" |
| #include "src/core/NEON/NEAsymm.h" |
| #include "src/core/NEON/NEFixedPoint.h" |
| #include "src/core/NEON/NEMath.h" |
| #include "src/core/helpers/AutoConfiguration.h" |
| #include "src/core/helpers/WindowHelpers.h" |
| |
| #include "src/core/NEON/kernels/detail/NEActivationFunctionDetail.h" |
| |
| #include <arm_neon.h> |
| |
| namespace arm_compute |
| { |
| namespace |
| { |
| Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info, int32_t num_classes) |
| { |
| ARM_COMPUTE_UNUSED(act_info); |
| ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input); |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32); |
| ARM_COMPUTE_RETURN_ERROR_ON(input->data_layout() == DataLayout::UNKNOWN); |
| ARM_COMPUTE_RETURN_ERROR_ON(act_info.activation() != ActivationLayerInfo::ActivationFunction::LOGISTIC); |
| |
| const unsigned int channel_idx = get_data_layout_dimension_index(input->data_layout(), DataLayoutDimension::CHANNEL); |
| ARM_COMPUTE_RETURN_ERROR_ON(num_classes <= 0); |
| ARM_COMPUTE_RETURN_ERROR_ON((input->dimension(channel_idx) % (num_classes + 5)) != 0); |
| |
| // Checks performed when output is configured |
| if((output != nullptr) && (output->total_size() != 0)) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| } |
| |
| return Status{}; |
| } |
| } // namespace |
| |
| NEYOLOLayerKernel::NEYOLOLayerKernel() |
| : _func(nullptr), _input(nullptr), _output(nullptr), _act_info(), _num_classes() |
| { |
| } |
| |
| template <typename T, int S> |
| void NEYOLOLayerKernel::yolo_layer_nchw(const Window &window) |
| { |
| const auto window_start_x = static_cast<int>(window.x().start()); |
| const auto window_end_x = static_cast<int>(window.x().end()); |
| const int window_step_x = S; |
| |
| Window win{ window }; |
| win.set(Window::DimX, Window::Dimension(0, 1, 1)); |
| Iterator input(_input, win); |
| Iterator output(_output, win); |
| |
| execute_window_loop(win, [&](const Coordinates & id) |
| { |
| const auto input_ptr = reinterpret_cast<const T *>(input.ptr()); |
| const auto output_ptr = reinterpret_cast<T *>(output.ptr()); |
| int x = window_start_x; |
| const int box_ch_id = id.z() % (_num_classes + 5); |
| const bool activate = box_ch_id != 2 && box_ch_id != 3; |
| |
| for(; x <= (window_end_x - window_step_x); x += window_step_x) |
| { |
| auto res = wrapper::vloadq(input_ptr + x); |
| |
| // Perform activation |
| if(activate) |
| { |
| auto activation = detail::logistic<T, S>(_act_info); |
| activation(res); |
| } |
| |
| // Store results |
| wrapper::vstore(output_ptr + x, res); |
| } |
| |
| // Compute left-over elements |
| for(; x < window_end_x; ++x) |
| { |
| auto res = *(input_ptr + x); |
| |
| // Perform activation |
| if(activate) |
| { |
| res = 1.f / (1.f + std::exp(-res)); |
| } |
| |
| *(output_ptr + x) = res; |
| } |
| }, |
| input, output); |
| } |
| |
| template <typename T> |
| void NEYOLOLayerKernel::yolo_layer_nhwc(const Window &window) |
| { |
| Iterator input(_input, window); |
| Iterator output(_output, window); |
| |
| execute_window_loop(window, [&](const Coordinates & id) |
| { |
| auto res = *(reinterpret_cast<T *>(input.ptr())); |
| |
| const int box_ch_id = id.x() % (_num_classes + 5); |
| const bool activate = box_ch_id != 2 && box_ch_id != 3; |
| |
| // Perform activation |
| if(activate) |
| { |
| res = 1.f / (1.f + std::exp(-res)); |
| } |
| |
| // Store result |
| *(reinterpret_cast<T *>(output.ptr())) = res; |
| }, |
| input, output); |
| } |
| |
| void NEYOLOLayerKernel::configure(ITensor *input, ITensor *output, const ActivationLayerInfo &act_info, int32_t num_classes) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input); |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), (output != nullptr) ? output->info() : nullptr, act_info, num_classes)); |
| |
| _input = input; |
| _output = output; |
| _act_info = act_info; |
| _num_classes = num_classes; |
| |
| switch(_input->info()->data_type()) |
| { |
| #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| case DataType::F16: |
| _func = (_input->info()->data_layout() == DataLayout::NHWC) ? &NEYOLOLayerKernel::yolo_layer_nhwc<float16_t> : &NEYOLOLayerKernel::yolo_layer_nchw<float16_t, 8>; |
| break; |
| #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| case DataType::F32: |
| _func = (_input->info()->data_layout() == DataLayout::NHWC) ? &NEYOLOLayerKernel::yolo_layer_nhwc<float> : &NEYOLOLayerKernel::yolo_layer_nchw<float, 4>; |
| break; |
| default: |
| ARM_COMPUTE_ERROR("Element size not supported"); |
| break; |
| } |
| |
| Window win = calculate_max_window(*input->info(), Steps()); |
| |
| // Configure kernel window |
| if(output != nullptr) |
| { |
| // Output auto inizialitation if not yet initialized |
| auto_init_if_empty(*output->info(), *input->info()); |
| |
| Coordinates coord; |
| coord.set_num_dimensions(output->info()->num_dimensions()); |
| |
| output->info()->set_valid_region(ValidRegion(coord, output->info()->tensor_shape())); |
| } |
| |
| ICPPKernel::configure(win); |
| } |
| |
| Status NEYOLOLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info, int32_t num_classes) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, act_info, num_classes)); |
| |
| return Status{}; |
| } |
| |
| void NEYOLOLayerKernel::run(const Window &window, const ThreadInfo &info) |
| { |
| ARM_COMPUTE_UNUSED(info); |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window); |
| ARM_COMPUTE_ERROR_ON(_func == nullptr); |
| |
| (this->*_func)(window); |
| } |
| } // namespace arm_compute |