Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2016, 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/NEPixelWiseMultiplicationKernel.h" |
| 25 | |
| 26 | #include "arm_compute/core/Error.h" |
| 27 | #include "arm_compute/core/Helpers.h" |
| 28 | #include "arm_compute/core/IAccessWindow.h" |
| 29 | #include "arm_compute/core/ITensor.h" |
| 30 | #include "arm_compute/core/NEON/NEFixedPoint.h" |
| 31 | #include "arm_compute/core/TensorInfo.h" |
| 32 | #include "arm_compute/core/Validate.h" |
| 33 | #include "arm_compute/runtime/NEON/functions/NEPixelWiseMultiplication.h" |
| 34 | |
| 35 | #include <arm_neon.h> |
| 36 | #include <climits> |
| 37 | #include <cmath> |
| 38 | #include <cstdint> |
| 39 | #include <cstdlib> |
| 40 | |
| 41 | using namespace arm_compute; |
| 42 | |
| 43 | namespace arm_compute |
| 44 | { |
| 45 | class Coordinates; |
| 46 | } // namespace arm_compute |
| 47 | |
| 48 | namespace |
| 49 | { |
| 50 | const float scale255_constant = 1.f / 255.f; |
| 51 | const float32x4_t scale255_constant_f32q = vdupq_n_f32(scale255_constant); |
| 52 | const float32x4_t positive_round_f32q = vdupq_n_f32(0.5f); |
| 53 | |
| 54 | /* Scales a given vector by 1/255. |
| 55 | * |
| 56 | * @note This does not work for all cases. e.g. for float of 0.49999999999999994 and large floats. |
| 57 | * |
| 58 | * @param in Input vector to scale. |
| 59 | * @return Scaled output rounded to nearest (round half up). |
| 60 | */ |
| 61 | inline int32x4_t scale255_S32_S32(int32x4_t in) |
| 62 | { |
| 63 | // Scale |
| 64 | const float32x4_t tmp = vmulq_f32(vcvtq_f32_s32(in), scale255_constant_f32q); |
| 65 | // Round to nearest (round half up) |
| 66 | // Add +0.5 for all values |
| 67 | // Afterwards vcvt rounds toward zero |
| 68 | return vcvtq_s32_f32(vaddq_f32(tmp, positive_round_f32q)); |
| 69 | } |
| 70 | |
| 71 | inline uint16x8_t scale255_U16_U16(uint16x8_t in) |
| 72 | { |
| 73 | const int32x4_t tmp_s1 = scale255_S32_S32(vreinterpretq_s32_u32(vmovl_u16(vget_high_u16(in)))); |
| 74 | const int32x4_t tmp_s2 = scale255_S32_S32(vreinterpretq_s32_u32(vmovl_u16(vget_low_u16(in)))); |
| 75 | return vreinterpretq_u16_s16(vcombine_s16(vmovn_s32(tmp_s2), vmovn_s32(tmp_s1))); |
| 76 | } |
| 77 | |
| 78 | template <bool is_scale255, bool is_sat> |
| 79 | void mul_U8_U8_U8_n(const void *__restrict input1_ptr, const void *__restrict input2_ptr, void *__restrict output_ptr, int n) |
| 80 | { |
| 81 | const auto input1 = static_cast<const uint8_t *__restrict>(input1_ptr); |
| 82 | const auto input2 = static_cast<const uint8_t *__restrict>(input2_ptr); |
| 83 | const auto output = static_cast<uint8_t *__restrict>(output_ptr); |
| 84 | |
| 85 | const uint8x16_t ta1 = vld1q_u8(input1); |
| 86 | const uint8x16_t ta2 = vld1q_u8(input2); |
| 87 | |
| 88 | uint16x8_t tmp1_high = vmovl_u8(vget_high_u8(ta1)); |
| 89 | const uint16x8_t tmp2_high = vmovl_u8(vget_high_u8(ta2)); |
| 90 | uint16x8_t tmp1_low = vmovl_u8(vget_low_u8(ta1)); |
| 91 | const uint16x8_t tmp2_low = vmovl_u8(vget_low_u8(ta2)); |
| 92 | |
| 93 | tmp1_high = vmulq_u16(tmp1_high, tmp2_high); |
| 94 | tmp1_low = vmulq_u16(tmp1_low, tmp2_low); |
| 95 | |
| 96 | if(is_scale255) |
| 97 | { |
| 98 | tmp1_high = scale255_U16_U16(tmp1_high); |
| 99 | tmp1_low = scale255_U16_U16(tmp1_low); |
| 100 | } |
| 101 | else |
| 102 | { |
| 103 | const int16x8_t vn = vdupq_n_s16(-n); |
| 104 | |
| 105 | if(is_sat) |
| 106 | { |
| 107 | tmp1_high = vqshlq_u16(tmp1_high, vn); |
| 108 | tmp1_low = vqshlq_u16(tmp1_low, vn); |
| 109 | } |
| 110 | else |
| 111 | { |
| 112 | tmp1_high = vshlq_u16(tmp1_high, vn); |
| 113 | tmp1_low = vshlq_u16(tmp1_low, vn); |
| 114 | } |
| 115 | } |
| 116 | |
| 117 | if(is_sat) |
| 118 | { |
| 119 | vst1q_u8(output, vcombine_u8(vqmovn_u16(tmp1_low), vqmovn_u16(tmp1_high))); |
| 120 | } |
| 121 | else |
| 122 | { |
| 123 | vst1q_u8(output, vcombine_u8(vmovn_u16(tmp1_low), vmovn_u16(tmp1_high))); |
| 124 | } |
| 125 | } |
| 126 | |
| 127 | template <bool is_scale255, bool is_sat> |
| 128 | void mul_QS8_QS8_QS8_n(const void *__restrict input1_ptr, const void *__restrict input2_ptr, void *__restrict output_ptr, int n, int fixed_point_position) |
| 129 | { |
| 130 | // n is the exponent of the scaling factor, that is scale = 1/2^n. Currently, we only support scaling factor equal to 1 => n = 0. |
| 131 | ARM_COMPUTE_ERROR_ON_MSG(n != 0, "Scaling factor different than 1 not supported for 8-bit fixed-point pixel-wise multiplication"); |
| 132 | ARM_COMPUTE_UNUSED(n); |
| 133 | |
| 134 | const auto input1 = static_cast<const qint8_t *__restrict>(input1_ptr); |
| 135 | const auto input2 = static_cast<const qint8_t *__restrict>(input2_ptr); |
| 136 | const auto output = static_cast<qint8_t *__restrict>(output_ptr); |
| 137 | |
| 138 | const qint8x16_t ta1 = vld1q_qs8(input1); |
| 139 | const qint8x16_t ta2 = vld1q_qs8(input2); |
| 140 | |
| 141 | qint8x16_t res = (is_sat) ? vqmulq_qs8(ta1, ta2, fixed_point_position) : vmulq_qs8(ta1, ta2, fixed_point_position); |
| 142 | |
| 143 | vst1q_s8(output, res); |
| 144 | } |
| 145 | |
| 146 | template <bool is_scale255, bool is_sat> |
| 147 | inline int16x8_t mul_S16_S16_S16_n_loop(const int16x8_t &input1, const int16x8_t &input2, int n) |
| 148 | { |
| 149 | int32x4_t tmp1_high = vmovl_s16(vget_high_s16(input1)); |
| 150 | const int32x4_t tmp2_high = vmovl_s16(vget_high_s16(input2)); |
| 151 | int32x4_t tmp1_low = vmovl_s16(vget_low_s16(input1)); |
| 152 | const int32x4_t tmp2_low = vmovl_s16(vget_low_s16(input2)); |
| 153 | |
| 154 | tmp1_high = vmulq_s32(tmp1_high, tmp2_high); |
| 155 | tmp1_low = vmulq_s32(tmp1_low, tmp2_low); |
| 156 | |
| 157 | if(is_scale255) |
| 158 | { |
| 159 | tmp1_high = scale255_S32_S32(tmp1_high); |
| 160 | tmp1_low = scale255_S32_S32(tmp1_low); |
| 161 | } |
| 162 | else |
| 163 | { |
| 164 | // Right shift amount |
| 165 | const int32x4_t vn = vdupq_n_s32(-n); |
| 166 | // Left shift amount |
| 167 | const int32x4_t vnl = vdupq_n_s32(n); |
| 168 | // Calculate conversion bit |
| 169 | const uint32x4_t tmp1_high_u = vreinterpretq_u32_s32(tmp1_high); |
| 170 | const uint32x4_t tmp1_low_u = vreinterpretq_u32_s32(tmp1_low); |
| 171 | const uint32x4_t sign_high = vshrq_n_u32(tmp1_high_u, 31); |
| 172 | const uint32x4_t sign_low = vshrq_n_u32(tmp1_low_u, 31); |
| 173 | const int32x4_t sign_high_s = vreinterpretq_s32_u32(sign_high); |
| 174 | const int32x4_t sign_low_s = vreinterpretq_s32_u32(sign_low); |
| 175 | const int32x4_t convert_high = vsubq_s32(vshlq_s32(sign_high_s, vnl), sign_high_s); |
| 176 | const int32x4_t convert_low = vsubq_s32(vshlq_s32(sign_low_s, vnl), sign_low_s); |
| 177 | if(is_sat) |
| 178 | { |
| 179 | tmp1_high = vqshlq_s32(vaddq_s32(tmp1_high, convert_high), vn); |
| 180 | tmp1_low = vqshlq_s32(vaddq_s32(tmp1_low, convert_low), vn); |
| 181 | } |
| 182 | else |
| 183 | { |
| 184 | tmp1_high = vshlq_s32(vaddq_s32(tmp1_high, convert_high), vn); |
| 185 | tmp1_low = vshlq_s32(vaddq_s32(tmp1_low, convert_low), vn); |
| 186 | } |
| 187 | } |
| 188 | |
| 189 | if(is_sat) |
| 190 | { |
| 191 | return vcombine_s16(vqmovn_s32(tmp1_low), vqmovn_s32(tmp1_high)); |
| 192 | } |
| 193 | else |
| 194 | { |
| 195 | return vcombine_s16(vmovn_s32(tmp1_low), vmovn_s32(tmp1_high)); |
| 196 | } |
| 197 | } |
| 198 | |
| 199 | template <bool is_scale255, bool is_sat> |
| 200 | inline int16x8x2_t mul_S16_S16_S16_n_k(const int16x8x2_t &input1, const int16x8x2_t &input2, int n) |
| 201 | { |
| 202 | const int16x8x2_t result = |
| 203 | { |
| 204 | { |
| 205 | // First 8 elements |
| 206 | mul_S16_S16_S16_n_loop<is_scale255, is_sat>(input1.val[0], input2.val[0], n), |
| 207 | // Second 8 elements |
| 208 | mul_S16_S16_S16_n_loop<is_scale255, is_sat>(input1.val[1], input2.val[1], n) |
| 209 | } |
| 210 | }; |
| 211 | |
| 212 | return result; |
| 213 | } |
| 214 | |
| 215 | template <bool is_scale255, bool is_sat> |
| 216 | void mul_S16_S16_S16_n(const void *__restrict input1_ptr, const void *__restrict input2_ptr, void *__restrict output_ptr, int n) |
| 217 | { |
| 218 | const auto input1 = static_cast<const int16_t *__restrict>(input1_ptr); |
| 219 | const auto input2 = static_cast<const int16_t *__restrict>(input2_ptr); |
| 220 | const auto output = static_cast<int16_t *__restrict>(output_ptr); |
| 221 | |
| 222 | const int16x8x2_t ta1 = vld2q_s16(input1); |
| 223 | const int16x8x2_t ta2 = vld2q_s16(input2); |
| 224 | const int16x8x2_t result = mul_S16_S16_S16_n_k<is_scale255, is_sat>(ta1, ta2, n); |
| 225 | |
| 226 | vst2q_s16(output, result); |
| 227 | } |
| 228 | |
| 229 | template <bool is_scale255, bool is_sat> |
| 230 | void mul_F32_F32_F32_n(const void *__restrict input1_ptr, const void *__restrict input2_ptr, void *__restrict output_ptr, float scale) |
| 231 | { |
| 232 | const auto input1 = static_cast<const float *__restrict>(input1_ptr); |
| 233 | const auto input2 = static_cast<const float *__restrict>(input2_ptr); |
| 234 | const auto output = static_cast<float *__restrict>(output_ptr); |
| 235 | |
| 236 | const float32x4x4_t ta1 = vld4q_f32(input1); |
| 237 | const float32x4x4_t ta2 = vld4q_f32(input2); |
| 238 | const float32x4_t scale_vec = vdupq_n_f32(scale); |
| 239 | const float32x4x4_t result = |
| 240 | { |
| 241 | { |
| 242 | vmulq_f32(vmulq_f32(ta1.val[0], ta2.val[0]), scale_vec), |
| 243 | vmulq_f32(vmulq_f32(ta1.val[1], ta2.val[1]), scale_vec), |
| 244 | vmulq_f32(vmulq_f32(ta1.val[2], ta2.val[2]), scale_vec), |
| 245 | vmulq_f32(vmulq_f32(ta1.val[3], ta2.val[3]), scale_vec) |
| 246 | } |
| 247 | }; |
| 248 | vst4q_f32(output, result); |
| 249 | } |
| 250 | |
| 251 | template <bool is_scale255, bool is_sat> |
| 252 | void mul_U8_U8_S16_n(const void *__restrict input1_ptr, const void *__restrict input2_ptr, void *__restrict output_ptr, int n) |
| 253 | { |
| 254 | const auto input1 = static_cast<const uint8_t *__restrict>(input1_ptr); |
| 255 | const auto input2 = static_cast<const uint8_t *__restrict>(input2_ptr); |
| 256 | const auto output = static_cast<int16_t *__restrict>(output_ptr); |
| 257 | |
| 258 | const uint8x16_t bv = vld1q_u8(input2); |
| 259 | const uint8x16_t av = vld1q_u8(input1); |
| 260 | |
| 261 | uint16x8_t tmp_low = vmovl_u8(vget_low_u8(av)); |
| 262 | uint16x8_t tmp_high = vmovl_u8(vget_high_u8(av)); |
| 263 | tmp_low = vmulq_u16(tmp_low, vmovl_u8(vget_low_u8(bv))); |
| 264 | tmp_high = vmulq_u16(tmp_high, vmovl_u8(vget_high_u8(bv))); |
| 265 | |
| 266 | if(is_scale255) |
| 267 | { |
| 268 | tmp_low = scale255_U16_U16(tmp_low); |
| 269 | tmp_high = scale255_U16_U16(tmp_high); |
| 270 | } |
| 271 | else |
| 272 | { |
| 273 | const int16x8_t vn = vdupq_n_s16(-n); |
| 274 | |
| 275 | if(is_sat) |
| 276 | { |
| 277 | tmp_low = vqshlq_u16(tmp_low, vn); |
| 278 | tmp_high = vqshlq_u16(tmp_high, vn); |
| 279 | } |
| 280 | else |
| 281 | { |
| 282 | tmp_low = vshlq_u16(tmp_low, vn); |
| 283 | tmp_high = vshlq_u16(tmp_high, vn); |
| 284 | } |
| 285 | } |
| 286 | |
| 287 | if(is_sat) |
| 288 | { |
| 289 | static const uint16x8_t max = vdupq_n_u16(SHRT_MAX); |
| 290 | |
| 291 | tmp_low = vminq_u16(tmp_low, max); |
| 292 | tmp_high = vminq_u16(tmp_high, max); |
| 293 | } |
| 294 | |
| 295 | vst1q_s16(output, vreinterpretq_s16_u16(tmp_low)); |
| 296 | vst1q_s16(output + 8, vreinterpretq_s16_u16(tmp_high)); |
| 297 | } |
| 298 | |
| 299 | template <bool is_scale255, bool is_sat> |
| 300 | void mul_S16_U8_S16_n(const void *__restrict input1_ptr, const void *__restrict input2_ptr, void *__restrict output_ptr, int n) |
| 301 | { |
| 302 | const auto input1 = static_cast<const int16_t *__restrict>(input1_ptr); |
| 303 | const auto input2 = static_cast<const uint8_t *__restrict>(input2_ptr); |
| 304 | const auto output = static_cast<int16_t *__restrict>(output_ptr); |
| 305 | |
| 306 | const int16x8x2_t ta1 = vld2q_s16(input1); |
| 307 | const uint8x8x2_t ta2u = vld2_u8(input2); |
| 308 | const int16x8x2_t ta2 = |
| 309 | { |
| 310 | { |
| 311 | vreinterpretq_s16_u16(vmovl_u8(ta2u.val[0])), |
| 312 | vreinterpretq_s16_u16(vmovl_u8(ta2u.val[1])) |
| 313 | } |
| 314 | }; |
| 315 | |
| 316 | const int16x8x2_t result = mul_S16_S16_S16_n_k<is_scale255, is_sat>(ta1, ta2, n); |
| 317 | |
| 318 | vst2q_s16(output, result); |
| 319 | } |
| 320 | |
| 321 | template <bool is_scale255, bool is_sat> |
| 322 | void mul_U8_S16_S16_n(const void *__restrict input1_ptr, const void *__restrict input2_ptr, void *__restrict output_ptr, int n) |
| 323 | { |
| 324 | // Simply swap the two input buffers |
| 325 | mul_S16_U8_S16_n<is_scale255, is_sat>(input2_ptr, input1_ptr, output_ptr, n); |
| 326 | } |
| 327 | } // namespace |
| 328 | |
| 329 | NEPixelWiseMultiplicationKernel::NEPixelWiseMultiplicationKernel() |
| 330 | : _func_float(nullptr), _func_int(nullptr), _func_q_int(nullptr), _input1(nullptr), _input2(nullptr), _output(nullptr), _scale{ 0 }, _scale_exponent{ 0 } |
| 331 | { |
| 332 | } |
| 333 | |
| 334 | void NEPixelWiseMultiplicationKernel::configure(const ITensor *input1, const ITensor *input2, ITensor *output, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy) |
| 335 | { |
Georgios Pinitas | f0dea70 | 2017-07-03 18:17:28 +0100 | [diff] [blame] | 336 | ARM_COMPUTE_ERROR_ON_NULLPTR(input1, input2, output); |
| 337 | |
| 338 | // Auto initialize output if not initialized |
| 339 | { |
| 340 | set_shape_if_empty(*output->info(), input1->info()->tensor_shape()); |
| 341 | |
| 342 | if(input1->info()->data_type() == DataType::S16 || input2->info()->data_type() == DataType::S16) |
| 343 | { |
| 344 | set_format_if_unknown(*output->info(), Format::S16); |
| 345 | } |
| 346 | else if(input1->info()->data_type() == DataType::F32 || input2->info()->data_type() == DataType::F32) |
| 347 | { |
| 348 | set_format_if_unknown(*output->info(), Format::F32); |
| 349 | } |
| 350 | else if(input1->info()->data_type() == DataType::QS8 && input2->info()->data_type() == DataType::QS8) |
| 351 | { |
| 352 | set_data_type_if_unknown(*output->info(), DataType::QS8); |
| 353 | set_fixed_point_position_if_zero(*output->info(), input1->info()->fixed_point_position()); |
| 354 | } |
| 355 | } |
| 356 | |
| 357 | ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(input1, input2, output); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 358 | ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input1, 1, DataType::U8, DataType::QS8, DataType::S16, DataType::F32); |
| 359 | ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input2, 1, DataType::U8, DataType::QS8, DataType::S16, DataType::F32); |
| 360 | ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8, DataType::QS8, DataType::S16, DataType::F32); |
| 361 | ARM_COMPUTE_ERROR_ON_MSG(output->info()->data_type() == DataType::U8 && (input1->info()->data_type() != DataType::U8 || input2->info()->data_type() != DataType::U8), |
| 362 | "Output can only be U8 if both inputs are U8"); |
| 363 | if(output->info()->data_type() == DataType::QS8 || input1->info()->data_type() == DataType::QS8 || output->info()->data_type() == DataType::QS8) |
| 364 | { |
| 365 | // All data types must be QS8 |
| 366 | ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input1, input2, output); |
| 367 | ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT_POSITION(input1, input2, output); |
| 368 | } |
| 369 | |
| 370 | _input1 = input1; |
| 371 | _input2 = input2; |
| 372 | _output = output; |
| 373 | _scale = scale; |
| 374 | _scale_exponent = 0; |
| 375 | _func_int = nullptr; |
| 376 | _func_q_int = nullptr; |
| 377 | _func_float = nullptr; |
| 378 | |
| 379 | bool is_scale_255 = false; |
| 380 | // Check and validate scaling factor |
| 381 | if(std::abs(scale - scale255_constant) < 0.00001f) |
| 382 | { |
| 383 | ARM_COMPUTE_ERROR_ON(rounding_policy != RoundingPolicy::TO_NEAREST_UP && rounding_policy != RoundingPolicy::TO_NEAREST_EVEN); |
| 384 | ARM_COMPUTE_UNUSED(rounding_policy); |
| 385 | |
| 386 | is_scale_255 = true; |
| 387 | } |
| 388 | else |
| 389 | { |
| 390 | ARM_COMPUTE_ERROR_ON(rounding_policy != RoundingPolicy::TO_ZERO); |
| 391 | ARM_COMPUTE_UNUSED(rounding_policy); |
| 392 | |
| 393 | int exponent = 0; |
| 394 | const float normalized_mantissa = std::frexp(scale, &exponent); |
| 395 | |
| 396 | // Use int scaling if factor is equal to 1/2^n for 0 <= n <= 15 |
| 397 | // frexp returns 0.5 as mantissa which means that the exponent will be in the range of -1 <= e <= 14 |
| 398 | // Moreover, it will be negative as we deal with 1/2^n |
| 399 | if((normalized_mantissa == 0.5f) && (-14 <= exponent) && (exponent <= 1)) |
| 400 | { |
| 401 | // Store the positive exponent. We know that we compute 1/2^n |
| 402 | // Additionally we need to subtract 1 to compensate that frexp used a mantissa of 0.5 |
| 403 | _scale_exponent = std::abs(exponent - 1); |
| 404 | } |
| 405 | else |
| 406 | { |
| 407 | ARM_COMPUTE_ERROR("Scale value not supported (Should be 1/(2^n) or 1/255"); |
| 408 | } |
| 409 | } |
| 410 | |
| 411 | const DataType dt_input1 = input1->info()->data_type(); |
| 412 | const DataType dt_input2 = input2->info()->data_type(); |
| 413 | const DataType dt_output = output->info()->data_type(); |
| 414 | const bool is_sat = (overflow_policy == ConvertPolicy::SATURATE); |
| 415 | |
| 416 | if(DataType::U8 == dt_input1 && DataType::U8 == dt_input2 && DataType::U8 == dt_output) |
| 417 | { |
| 418 | if(is_scale_255) |
| 419 | { |
| 420 | _func_int = is_sat ? &mul_U8_U8_U8_n<true, true> : &mul_U8_U8_U8_n<true, false>; |
| 421 | } |
| 422 | else |
| 423 | { |
| 424 | _func_int = is_sat ? &mul_U8_U8_U8_n<false, true> : &mul_U8_U8_U8_n<false, false>; |
| 425 | } |
| 426 | } |
| 427 | else if(DataType::S16 == dt_input1 && DataType::S16 == dt_input2 && DataType::S16 == dt_output) |
| 428 | { |
| 429 | if(is_scale_255) |
| 430 | { |
| 431 | _func_int = is_sat ? &mul_S16_S16_S16_n<true, true> : &mul_S16_S16_S16_n<true, false>; |
| 432 | } |
| 433 | else |
| 434 | { |
| 435 | _func_int = is_sat ? &mul_S16_S16_S16_n<false, true> : &mul_S16_S16_S16_n<false, false>; |
| 436 | } |
| 437 | } |
| 438 | else if(DataType::S16 == dt_input1 && DataType::U8 == dt_input2 && DataType::S16 == dt_output) |
| 439 | { |
| 440 | if(is_scale_255) |
| 441 | { |
| 442 | _func_int = is_sat ? &mul_S16_U8_S16_n<true, true> : &mul_S16_U8_S16_n<true, false>; |
| 443 | } |
| 444 | else |
| 445 | { |
| 446 | _func_int = is_sat ? &mul_S16_U8_S16_n<false, true> : &mul_S16_U8_S16_n<false, false>; |
| 447 | } |
| 448 | } |
| 449 | else if(DataType::U8 == dt_input1 && DataType::S16 == dt_input2 && DataType::S16 == dt_output) |
| 450 | { |
| 451 | if(is_scale_255) |
| 452 | { |
| 453 | _func_int = is_sat ? &mul_U8_S16_S16_n<true, true> : &mul_U8_S16_S16_n<true, false>; |
| 454 | } |
| 455 | else |
| 456 | { |
| 457 | _func_int = is_sat ? &mul_U8_S16_S16_n<false, true> : &mul_U8_S16_S16_n<false, false>; |
| 458 | } |
| 459 | } |
| 460 | else if(DataType::U8 == dt_input1 && DataType::U8 == dt_input2 && DataType::S16 == dt_output) |
| 461 | { |
| 462 | if(is_scale_255) |
| 463 | { |
| 464 | _func_int = is_sat ? &mul_U8_U8_S16_n<true, true> : &mul_U8_U8_S16_n<true, false>; |
| 465 | } |
| 466 | else |
| 467 | { |
| 468 | _func_int = is_sat ? &mul_U8_U8_S16_n<false, true> : &mul_U8_U8_S16_n<false, false>; |
| 469 | } |
| 470 | } |
| 471 | else if(DataType::QS8 == dt_input1 && DataType::QS8 == dt_input2 && DataType::QS8 == dt_output) |
| 472 | { |
| 473 | if(is_scale_255) |
| 474 | { |
| 475 | _func_q_int = is_sat ? &mul_QS8_QS8_QS8_n<true, true> : &mul_QS8_QS8_QS8_n<true, false>; |
| 476 | } |
| 477 | else |
| 478 | { |
| 479 | _func_q_int = is_sat ? &mul_QS8_QS8_QS8_n<false, true> : &mul_QS8_QS8_QS8_n<false, false>; |
| 480 | } |
| 481 | } |
| 482 | else if(DataType::F32 == dt_input1 && DataType::F32 == dt_input2 && DataType::F32 == dt_output) |
| 483 | { |
| 484 | _func_float = &mul_F32_F32_F32_n<false, false>; |
| 485 | _func_int = nullptr; |
| 486 | } |
| 487 | else |
| 488 | { |
| 489 | ARM_COMPUTE_ERROR("You called with the wrong img formats"); |
| 490 | } |
| 491 | |
| 492 | constexpr unsigned int num_elems_processed_per_iteration = 16; |
| 493 | |
| 494 | // Configure kernel window |
| 495 | Window win = calculate_max_window(*input1->info(), Steps(num_elems_processed_per_iteration)); |
| 496 | AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration); |
| 497 | |
| 498 | update_window_and_padding(win, |
| 499 | AccessWindowHorizontal(input1->info(), 0, num_elems_processed_per_iteration), |
| 500 | AccessWindowHorizontal(input2->info(), 0, num_elems_processed_per_iteration), |
| 501 | output_access); |
| 502 | |
| 503 | ValidRegion valid_region = intersect_valid_regions(input1->info()->valid_region(), |
| 504 | input2->info()->valid_region()); |
| 505 | |
| 506 | output_access.set_valid_region(win, valid_region); |
| 507 | |
| 508 | INEKernel::configure(win); |
| 509 | } |
| 510 | |
| 511 | void NEPixelWiseMultiplicationKernel::run(const Window &window) |
| 512 | { |
| 513 | ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| 514 | ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); |
| 515 | |
| 516 | Iterator input1(_input1, window); |
| 517 | Iterator input2(_input2, window); |
| 518 | Iterator output(_output, window); |
| 519 | |
| 520 | if(_func_int != nullptr) |
| 521 | { |
| 522 | execute_window_loop(window, [&](const Coordinates & id) |
| 523 | { |
| 524 | (*_func_int)(input1.ptr(), input2.ptr(), output.ptr(), _scale_exponent); |
| 525 | }, |
| 526 | input1, input2, output); |
| 527 | } |
| 528 | else if(_func_q_int != nullptr) |
| 529 | { |
| 530 | int fixed_point_position = _input1->info()->fixed_point_position(); |
| 531 | execute_window_loop(window, [&](const Coordinates & id) |
| 532 | { |
| 533 | (*_func_q_int)(input1.ptr(), input2.ptr(), output.ptr(), _scale_exponent, fixed_point_position); |
| 534 | }, |
| 535 | input1, input2, output); |
| 536 | } |
| 537 | else |
| 538 | { |
| 539 | ARM_COMPUTE_ERROR_ON(_func_float == nullptr); |
| 540 | execute_window_loop(window, [&](const Coordinates & id) |
| 541 | { |
| 542 | (*_func_float)(input1.ptr(), input2.ptr(), output.ptr(), _scale); |
| 543 | }, |
| 544 | input1, input2, output); |
| 545 | } |
| 546 | } |