Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2017 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/core/NEON/kernels/NEDirectConvolutionLayerBiasAccumulateKernel.h" |
| 25 | |
| 26 | #include "arm_compute/core/AccessWindowStatic.h" |
| 27 | #include "arm_compute/core/Error.h" |
| 28 | #include "arm_compute/core/Helpers.h" |
| 29 | #include "arm_compute/core/ITensor.h" |
| 30 | #include "arm_compute/core/NEON/NEFixedPoint.h" |
| 31 | #include "arm_compute/core/Types.h" |
| 32 | #include "arm_compute/core/Validate.h" |
| 33 | #include "arm_compute/core/Window.h" |
| 34 | |
| 35 | #include <arm_neon.h> |
| 36 | #include <cstddef> |
| 37 | #include <cstdint> |
| 38 | |
| 39 | using namespace arm_compute; |
| 40 | |
| 41 | namespace |
| 42 | { |
| 43 | // Internal load |
| 44 | inline float32x4_t internal_vld1q(const float *in) |
| 45 | { |
| 46 | return vld1q_f32(in); |
| 47 | } |
| 48 | inline qint8x16_t internal_vld1q(const qint8_t *in) |
| 49 | { |
| 50 | return vld1q_qs8(in); |
| 51 | } |
| 52 | inline qint16x8_t internal_vld1q(const qint16_t *in) |
| 53 | { |
| 54 | return vld1q_qs16(in); |
| 55 | } |
| 56 | |
| 57 | // Internal store |
| 58 | inline void internal_vst1q(float *p, const float32x4_t &v) |
| 59 | { |
| 60 | vst1q_f32(p, v); |
| 61 | } |
| 62 | inline void internal_vst1q(qint8_t *p, const qint8x16_t &v) |
| 63 | { |
| 64 | vst1q_qs8(p, v); |
| 65 | } |
| 66 | inline void internal_vst1q(qint8_t *p, const qint16x8_t &v) |
| 67 | { |
| 68 | vst1_qs8(p, vqmovn_s16(v)); |
| 69 | } |
| 70 | inline void internal_vst1q(qint16_t *p, const qint16x8_t &v) |
| 71 | { |
| 72 | vst1q_qs16(p, v); |
| 73 | } |
| 74 | |
| 75 | // Internal vdup |
| 76 | inline float32x4_t internal_vdupq_n(float v) |
| 77 | { |
| 78 | return vdupq_n_f32(v); |
| 79 | } |
| 80 | inline qint8x16_t internal_vdupq_n(qint8_t v) |
| 81 | { |
| 82 | return vdupq_n_qs8(v); |
| 83 | } |
| 84 | inline qint16x8_t internal_vdupq_n(qint16_t v) |
| 85 | { |
| 86 | return vdupq_n_qs16(v); |
| 87 | } |
| 88 | |
| 89 | // Internal vadd |
| 90 | inline float32x4_t internal_vqaddq(const float32x4_t &x, const float32x4_t &y) |
| 91 | { |
| 92 | return vaddq_f32(x, y); |
| 93 | } |
| 94 | inline qint8x16_t internal_vqaddq(const qint8x16_t &x, const qint8x16_t &y) |
| 95 | { |
| 96 | return vqaddq_qs8(x, y); |
| 97 | } |
| 98 | inline qint16x8_t internal_vqaddq(const qint16x8_t &x, const qint16x8_t &y) |
| 99 | { |
| 100 | return vqaddq_qs16(x, y); |
| 101 | } |
| 102 | |
Pablo Tello | 0d17614 | 2017-07-06 16:43:14 +0100 | [diff] [blame^] | 103 | #ifdef ARM_COMPUTE_ENABLE_FP16 |
| 104 | inline float16x8_t internal_vld1q(const float16_t *in) |
| 105 | { |
| 106 | return vld1q_f16(in); |
| 107 | } |
| 108 | inline void internal_vst1q(float16_t *p, const float16x8_t &v) |
| 109 | { |
| 110 | vst1q_f16(p, v); |
| 111 | } |
| 112 | inline float16x8_t internal_vdupq_n(float16_t v) |
| 113 | { |
| 114 | return vdupq_n_f16(v); |
| 115 | } |
| 116 | inline float16x8_t internal_vqaddq(const float16x8_t &x, const float16x8_t &y) |
| 117 | { |
| 118 | return vaddq_f16(x, y); |
| 119 | } |
| 120 | #endif /* ARM_COMPUTE_ENABLE_FP16 */ |
| 121 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 122 | template <typename T1, typename T2, bool in_place> |
| 123 | void accumulate_bias(ITensor *input, const ITensor *bias, const Window window, ITensor *output) |
| 124 | { |
| 125 | Iterator in(input, window); |
| 126 | |
| 127 | if(in_place) // In place accumulate |
| 128 | { |
| 129 | execute_window_loop(window, [&](const Coordinates & id) |
| 130 | { |
| 131 | // Get bias and pointer to input |
| 132 | const auto in_ptr = reinterpret_cast<T1 *>(in.ptr()); |
| 133 | const auto vb = internal_vdupq_n(static_cast<T1>(*reinterpret_cast<const T2 *>(bias->ptr_to_element(Coordinates(id.z()))))); |
| 134 | |
| 135 | // Accumulate bias |
| 136 | internal_vst1q(in_ptr, internal_vqaddq(internal_vld1q(in_ptr), vb)); |
| 137 | }, |
| 138 | in); |
| 139 | } |
| 140 | else // Out of place accumulate |
| 141 | { |
| 142 | Iterator out(output, window); |
| 143 | execute_window_loop(window, [&](const Coordinates & id) |
| 144 | { |
| 145 | // Get bias and pointer to input |
| 146 | const auto in_ptr = reinterpret_cast<const T1 *>(in.ptr()); |
| 147 | const auto out_ptr = reinterpret_cast<T2 *>(out.ptr()); |
| 148 | const auto vb = internal_vdupq_n(static_cast<T1>(*reinterpret_cast<const T2 *>(bias->ptr_to_element(Coordinates(id.z()))))); |
| 149 | |
| 150 | // Accumulate bias |
| 151 | internal_vst1q(out_ptr, internal_vqaddq(internal_vld1q(in_ptr), vb)); |
| 152 | }, |
| 153 | in, out); |
| 154 | } |
| 155 | } |
| 156 | } // namespace |
| 157 | |
| 158 | NEDirectConvolutionLayerBiasAccumulateKernel::NEDirectConvolutionLayerBiasAccumulateKernel() |
| 159 | : _func(nullptr), _input(nullptr), _bias(nullptr), _output(nullptr) |
| 160 | { |
| 161 | } |
| 162 | |
| 163 | void NEDirectConvolutionLayerBiasAccumulateKernel::configure(ITensor *input, const ITensor *bias, ITensor *output) |
| 164 | { |
Pablo Tello | 0d17614 | 2017-07-06 16:43:14 +0100 | [diff] [blame^] | 165 | ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QS8, DataType::QS16, DataType::F16, DataType::F32); |
| 166 | ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(bias, 1, DataType::QS8, DataType::QS16, DataType::F16, DataType::F32); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 167 | ARM_COMPUTE_ERROR_ON(input->info()->fixed_point_position() != bias->info()->fixed_point_position()); |
| 168 | if(output != nullptr) |
| 169 | { |
| 170 | ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::QS8, DataType::QS16, DataType::F32); |
| 171 | ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(bias, output); |
| 172 | ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT(bias, output); |
| 173 | } |
| 174 | ARM_COMPUTE_ERROR_ON(bias->info()->num_dimensions() > 1); |
| 175 | |
| 176 | _func = nullptr; |
| 177 | _bias = bias; |
| 178 | _input = input; |
| 179 | _output = output; |
| 180 | |
| 181 | const unsigned int num_elems_processed_per_iteration = 16 / element_size_from_data_type(input->info()->data_type()); |
| 182 | |
| 183 | // Configure kernel window |
| 184 | Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration)); |
| 185 | AccessWindowHorizontal input_access(input->info(), 0, num_elems_processed_per_iteration); |
| 186 | AccessWindowStatic bias_access(bias->info(), 0, 0, bias->info()->dimension(0), bias->info()->dimension(1)); |
| 187 | if(output != nullptr) |
| 188 | { |
| 189 | AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration); |
| 190 | update_window_and_padding(win, input_access, output_access, bias_access); |
| 191 | output_access.set_valid_region(win, ValidRegion(Coordinates(), output->info()->tensor_shape())); |
| 192 | } |
| 193 | else |
| 194 | { |
| 195 | update_window_and_padding(win, input_access, bias_access); |
| 196 | input_access.set_valid_region(win, ValidRegion(Coordinates(), input->info()->tensor_shape())); |
| 197 | } |
| 198 | INEKernel::configure(win); |
| 199 | |
| 200 | // Set appropriate function |
| 201 | if(input->info()->data_type() == DataType::F32) |
| 202 | { |
| 203 | _func = (output == nullptr) ? &accumulate_bias<float, float, true> : &accumulate_bias<float, float, false>; |
| 204 | } |
Pablo Tello | 0d17614 | 2017-07-06 16:43:14 +0100 | [diff] [blame^] | 205 | #ifdef ARM_COMPUTE_ENABLE_FP16 |
| 206 | else if(input->info()->data_type() == DataType::F16) |
| 207 | { |
| 208 | _func = (output == nullptr) ? &accumulate_bias<float16_t, float16_t, true> : &accumulate_bias<float16_t, float16_t, false>; |
| 209 | } |
| 210 | #endif /* ARM_COMPUTE_ENABLE_FP16 */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 211 | else if(input->info()->data_type() == DataType::QS8) |
| 212 | { |
| 213 | _func = (output == nullptr) ? &accumulate_bias<qint8_t, qint8_t, true> : &accumulate_bias<qint8_t, qint8_t, false>; |
| 214 | } |
| 215 | else if(input->info()->data_type() == DataType::QS16 && bias->info()->data_type() == DataType::QS8) |
| 216 | { |
| 217 | _func = (output == nullptr) ? &accumulate_bias<qint16_t, qint8_t, true> : &accumulate_bias<qint16_t, qint8_t, false>; |
| 218 | } |
| 219 | else |
| 220 | { |
| 221 | ARM_COMPUTE_ERROR("Unsupported combination of types among the inputs."); |
| 222 | } |
| 223 | } |
| 224 | |
| 225 | void NEDirectConvolutionLayerBiasAccumulateKernel::run(const Window &window) |
| 226 | { |
| 227 | ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| 228 | ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); |
| 229 | ARM_COMPUTE_ERROR_ON(_func == nullptr); |
| 230 | |
| 231 | (*_func)(_input, _bias, window, _output); |
| 232 | } |