Michalis Spyrou | a6825a4 | 2018-09-13 12:24:03 +0100 | [diff] [blame] | 1 | /* |
Georgios Pinitas | 8f5802f | 2019-02-22 11:08:32 +0000 | [diff] [blame] | 2 | * Copyright (c) 2018-2019 ARM Limited. |
Michalis Spyrou | a6825a4 | 2018-09-13 12:24:03 +0100 | [diff] [blame] | 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/core/NEON/kernels/NEYOLOLayerKernel.h" |
| 25 | |
| 26 | #include "arm_compute/core/CPP/Validate.h" |
| 27 | #include "arm_compute/core/Helpers.h" |
| 28 | #include "arm_compute/core/ITensor.h" |
| 29 | #include "arm_compute/core/NEON/NEAsymm.h" |
| 30 | #include "arm_compute/core/NEON/NEFixedPoint.h" |
| 31 | #include "arm_compute/core/NEON/NEMath.h" |
| 32 | #include "arm_compute/core/NEON/kernels/detail/NEActivationFunctionDetail.h" |
| 33 | #include "arm_compute/core/QAsymm8.h" |
| 34 | #include "arm_compute/core/TensorInfo.h" |
| 35 | #include "arm_compute/core/Utils.h" |
| 36 | #include "arm_compute/core/Validate.h" |
| 37 | #include "arm_compute/core/Window.h" |
| 38 | |
| 39 | #include <arm_neon.h> |
| 40 | |
| 41 | using namespace arm_compute; |
| 42 | namespace |
| 43 | { |
| 44 | Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info, int32_t num_classes) |
| 45 | { |
| 46 | ARM_COMPUTE_UNUSED(act_info); |
Georgios Pinitas | 8f5802f | 2019-02-22 11:08:32 +0000 | [diff] [blame] | 47 | ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input); |
Michalis Spyrou | a6825a4 | 2018-09-13 12:24:03 +0100 | [diff] [blame] | 48 | ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32); |
| 49 | ARM_COMPUTE_RETURN_ERROR_ON(input->data_layout() == DataLayout::UNKNOWN); |
| 50 | ARM_COMPUTE_RETURN_ERROR_ON(act_info.activation() != ActivationLayerInfo::ActivationFunction::LOGISTIC); |
| 51 | |
| 52 | const unsigned int channel_idx = get_data_layout_dimension_index(input->data_layout(), DataLayoutDimension::CHANNEL); |
| 53 | ARM_COMPUTE_RETURN_ERROR_ON(num_classes <= 0); |
| 54 | ARM_COMPUTE_RETURN_ERROR_ON((input->dimension(channel_idx) % (num_classes + 5)) != 0); |
| 55 | |
| 56 | // Checks performed when output is configured |
| 57 | if((output != nullptr) && (output->total_size() != 0)) |
| 58 | { |
| 59 | ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output); |
| 60 | ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| 61 | } |
| 62 | |
| 63 | return Status{}; |
| 64 | } |
| 65 | |
| 66 | std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output) |
| 67 | { |
| 68 | if(output != nullptr) |
| 69 | { |
| 70 | ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| 71 | |
| 72 | // Output auto inizialitation if not yet initialized |
| 73 | auto_init_if_empty(*output, *input); |
| 74 | } |
| 75 | |
| 76 | const bool is_nchw = input->data_layout() == DataLayout::NCHW; |
| 77 | const unsigned int num_elems_processed_per_iteration = is_nchw ? 16 / input->element_size() : 1; |
| 78 | |
| 79 | Window win = calculate_max_window(*input, Steps(num_elems_processed_per_iteration)); |
| 80 | bool window_changed = false; |
| 81 | |
| 82 | if(output != nullptr) |
| 83 | { |
| 84 | AccessWindowHorizontal input_access(input, 0, num_elems_processed_per_iteration); |
| 85 | AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration); |
| 86 | window_changed = update_window_and_padding(win, input_access, output_access); |
| 87 | output_access.set_valid_region(win, input->valid_region()); |
| 88 | } |
| 89 | else |
| 90 | { |
| 91 | window_changed = update_window_and_padding(win, AccessWindowHorizontal(input, 0, num_elems_processed_per_iteration)); |
| 92 | } |
| 93 | |
| 94 | Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; |
| 95 | return std::make_pair(err, win); |
| 96 | } |
| 97 | } // namespace |
| 98 | |
| 99 | NEYOLOLayerKernel::NEYOLOLayerKernel() |
| 100 | : _func(nullptr), _input(nullptr), _output(nullptr), _act_info(), _num_classes() |
| 101 | { |
| 102 | } |
| 103 | |
| 104 | void NEYOLOLayerKernel::yolo_layer_fp32_nchw(const Window &window) |
| 105 | { |
| 106 | Iterator input(_input, window); |
| 107 | Iterator output(_output, window); |
| 108 | |
| 109 | execute_window_loop(window, [&](const Coordinates & id) |
| 110 | { |
| 111 | float32x4_t res = vld1q_f32(reinterpret_cast<float *>(input.ptr())); |
| 112 | |
| 113 | const int box_ch_id = id.z() % (_num_classes + 5); |
| 114 | const bool activate = box_ch_id != 2 && box_ch_id != 3; |
| 115 | |
| 116 | // Perform activation |
| 117 | if(activate) |
| 118 | { |
| 119 | auto activation = ::detail::logistic<float, 4>(_act_info); |
| 120 | activation(res); |
| 121 | } |
| 122 | |
| 123 | // Store results |
| 124 | vst1q_f32(reinterpret_cast<float *>(output.ptr()), res); |
| 125 | }, |
| 126 | input, output); |
| 127 | } |
| 128 | |
| 129 | void NEYOLOLayerKernel::yolo_layer_fp32_nhwc(const Window &window) |
| 130 | { |
| 131 | Iterator input(_input, window); |
| 132 | Iterator output(_output, window); |
| 133 | |
| 134 | execute_window_loop(window, [&](const Coordinates & id) |
| 135 | { |
| 136 | float res = *(reinterpret_cast<float *>(input.ptr())); |
| 137 | |
| 138 | const int box_ch_id = id.x() % (_num_classes + 5); |
| 139 | const bool activate = box_ch_id != 2 && box_ch_id != 3; |
| 140 | |
| 141 | // Perform activation |
| 142 | if(activate) |
| 143 | { |
| 144 | res = 1.f / (1.f + std::exp(-res)); |
| 145 | } |
| 146 | |
| 147 | // Store result |
| 148 | *(reinterpret_cast<float *>(output.ptr())) = res; |
| 149 | }, |
| 150 | input, output); |
| 151 | } |
| 152 | |
| 153 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 154 | void NEYOLOLayerKernel::yolo_layer_fp16_nchw(const Window &window) |
| 155 | { |
| 156 | Iterator input(_input, window); |
| 157 | Iterator output(_output, window); |
| 158 | |
| 159 | execute_window_loop(window, [&](const Coordinates & id) |
| 160 | { |
| 161 | float16x8_t res = vld1q_f16(reinterpret_cast<float16_t *>(input.ptr())); |
| 162 | |
| 163 | const int box_ch_id = id.z() % (_num_classes + 5); |
| 164 | const bool activate = box_ch_id != 2 && box_ch_id != 3; |
| 165 | |
| 166 | // Perform activation |
| 167 | if(activate) |
| 168 | { |
| 169 | auto activation = ::detail::logistic<float16_t, 8>(_act_info); |
| 170 | activation(res); |
| 171 | } |
| 172 | |
| 173 | // Store results |
| 174 | vst1q_f16(reinterpret_cast<float16_t *>(output.ptr()), res); |
| 175 | }, |
| 176 | input, output); |
| 177 | } |
| 178 | |
| 179 | void NEYOLOLayerKernel::yolo_layer_fp16_nhwc(const Window &window) |
| 180 | { |
| 181 | Iterator input(_input, window); |
| 182 | Iterator output(_output, window); |
| 183 | |
| 184 | execute_window_loop(window, [&](const Coordinates & id) |
| 185 | { |
| 186 | float16_t res = *(reinterpret_cast<float16_t *>(input.ptr())); |
| 187 | |
| 188 | const int box_ch_id = id.x() % (_num_classes + 5); |
| 189 | const bool activate = box_ch_id != 2 && box_ch_id != 3; |
| 190 | |
| 191 | // Perform activation |
| 192 | if(activate) |
| 193 | { |
| 194 | res = 1.f / (1.f + std::exp(-res)); |
| 195 | } |
| 196 | |
| 197 | // Store result |
| 198 | *(reinterpret_cast<float16_t *>(output.ptr())) = res; |
| 199 | }, |
| 200 | input, output); |
| 201 | } |
| 202 | #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |
| 203 | |
| 204 | void NEYOLOLayerKernel::configure(ITensor *input, ITensor *output, const ActivationLayerInfo &act_info, int32_t num_classes) |
| 205 | { |
| 206 | ARM_COMPUTE_ERROR_ON_NULLPTR(input); |
| 207 | ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), (output != nullptr) ? output->info() : nullptr, act_info, num_classes)); |
| 208 | |
| 209 | _input = input; |
| 210 | _output = output; |
| 211 | _act_info = act_info; |
| 212 | _num_classes = num_classes; |
| 213 | |
| 214 | switch(_input->info()->data_type()) |
| 215 | { |
| 216 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 217 | case DataType::F16: |
| 218 | _func = (_input->info()->data_layout() == DataLayout::NHWC) ? &NEYOLOLayerKernel::yolo_layer_fp16_nhwc : &NEYOLOLayerKernel::yolo_layer_fp16_nchw; |
| 219 | break; |
| 220 | #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 221 | case DataType::F32: |
| 222 | _func = (_input->info()->data_layout() == DataLayout::NHWC) ? &NEYOLOLayerKernel::yolo_layer_fp32_nhwc : &NEYOLOLayerKernel::yolo_layer_fp32_nchw; |
| 223 | break; |
| 224 | default: |
| 225 | ARM_COMPUTE_ERROR("Element size not supported"); |
| 226 | break; |
| 227 | } |
| 228 | |
| 229 | // Configure kernel window |
| 230 | auto win_config = validate_and_configure_window(input->info(), (output == nullptr) ? nullptr : output->info()); |
| 231 | ARM_COMPUTE_ERROR_THROW_ON(win_config.first); |
| 232 | ICPPKernel::configure(win_config.second); |
| 233 | } |
| 234 | |
| 235 | Status NEYOLOLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info, int32_t num_classes) |
| 236 | { |
| 237 | ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, act_info, num_classes)); |
| 238 | ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), (output == nullptr) ? nullptr : output->clone().get()).first); |
| 239 | |
| 240 | return Status{}; |
| 241 | } |
| 242 | |
| 243 | void NEYOLOLayerKernel::run(const Window &window, const ThreadInfo &info) |
| 244 | { |
| 245 | ARM_COMPUTE_UNUSED(info); |
| 246 | ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| 247 | ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window); |
| 248 | ARM_COMPUTE_ERROR_ON(_func == nullptr); |
| 249 | |
| 250 | (this->*_func)(window); |
| 251 | } |