XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 1 | // Copyright (c) Facebook, Inc. and its affiliates. |
| 2 | // All rights reserved. |
| 3 | // |
| 4 | // Copyright 2019 Google LLC |
| 5 | // |
| 6 | // This source code is licensed under the BSD-style license found in the |
| 7 | // LICENSE file in the root directory of this source tree. |
| 8 | |
| 9 | #include <assert.h> |
| 10 | #include <math.h> |
| 11 | #include <stdbool.h> |
| 12 | #include <stddef.h> |
| 13 | #include <stdint.h> |
| 14 | #include <stdlib.h> |
| 15 | #include <string.h> |
| 16 | |
| 17 | #include <xnnpack.h> |
| 18 | #include <xnnpack/allocator.h> |
| 19 | #include <xnnpack/operator.h> |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 20 | #include <xnnpack/common.h> |
Frank Barchard | e0601b5 | 2019-10-25 17:43:34 -0700 | [diff] [blame] | 21 | #include <xnnpack/log.h> |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 22 | #include <xnnpack/math.h> |
Marat Dukhan | eeaa7bd | 2019-10-25 17:31:25 -0700 | [diff] [blame] | 23 | #include <xnnpack/params-init.h> |
Frank Barchard | e0601b5 | 2019-10-25 17:43:34 -0700 | [diff] [blame] | 24 | #include <xnnpack/params.h> |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 25 | #include <xnnpack/indirection.h> |
| 26 | |
| 27 | |
| 28 | static inline size_t compute_output_dimension( |
| 29 | size_t padded_input_dimension, |
| 30 | size_t pooling_dimension, |
| 31 | size_t stride_dimension) |
| 32 | { |
| 33 | return (padded_input_dimension - pooling_dimension) / stride_dimension + 1; |
| 34 | } |
| 35 | |
| 36 | enum xnn_status xnn_create_average_pooling2d_nhwc_q8( |
| 37 | uint32_t input_padding_top, |
| 38 | uint32_t input_padding_right, |
| 39 | uint32_t input_padding_bottom, |
| 40 | uint32_t input_padding_left, |
| 41 | uint32_t pooling_height, |
| 42 | uint32_t pooling_width, |
| 43 | uint32_t stride_height, |
| 44 | uint32_t stride_width, |
| 45 | size_t channels, |
| 46 | size_t input_pixel_stride, |
| 47 | size_t output_pixel_stride, |
| 48 | uint8_t input_zero_point, |
| 49 | float input_scale, |
| 50 | uint8_t output_zero_point, |
| 51 | float output_scale, |
| 52 | uint8_t output_min, |
| 53 | uint8_t output_max, |
| 54 | uint32_t flags, |
| 55 | xnn_operator_t* average_pooling_op_out) |
| 56 | { |
| 57 | xnn_operator_t average_pooling_op = NULL; |
| 58 | enum xnn_status status = xnn_status_uninitialized; |
| 59 | |
| 60 | if (!xnn_params.initialized) { |
| 61 | xnn_log_error("failed to create Average Pooling operator: XNNPACK is not initialized"); |
| 62 | goto error; |
| 63 | } |
| 64 | |
| 65 | status = xnn_status_invalid_parameter; |
| 66 | |
| 67 | const uint32_t pooling_size = pooling_height * pooling_width; |
| 68 | if (pooling_size == 0) { |
| 69 | xnn_log_error( |
| 70 | "failed to create Average Pooling operator with %" PRIu32 "x%" PRIu32 " pooling size: " |
| 71 | "pooling size dimensions must be non-zero", |
| 72 | pooling_width, pooling_height); |
| 73 | goto error; |
| 74 | } |
| 75 | |
| 76 | if (pooling_size == 1) { |
| 77 | xnn_log_error( |
| 78 | "failed to create Average Pooling operator with 1 pooling element: 1x1 pooling is meaningless"); |
| 79 | goto error; |
| 80 | } |
| 81 | |
| 82 | if (stride_height == 0 || stride_width == 0) { |
| 83 | xnn_log_error( |
| 84 | "failed to create Average Pooling operator with %" PRIu32 "x%" PRIu32 " stride: " |
| 85 | "stride dimensions must be non-zero", |
| 86 | stride_width, stride_height); |
| 87 | goto error; |
| 88 | } |
| 89 | |
| 90 | if (channels == 0) { |
| 91 | xnn_log_error( |
| 92 | "failed to create Average Pooling operator with %zu channels: number of channels must be non-zero", |
| 93 | channels); |
| 94 | goto error; |
| 95 | } |
| 96 | |
| 97 | if (input_pixel_stride < channels) { |
| 98 | xnn_log_error( |
| 99 | "failed to create Average Pooling operator with input pixel stride of %zu: " |
| 100 | "stride must be at least as large as the number of channels (%zu)", |
| 101 | input_pixel_stride, channels); |
| 102 | goto error; |
| 103 | } |
| 104 | |
| 105 | if (output_pixel_stride < channels) { |
| 106 | xnn_log_error( |
| 107 | "failed to create Average Pooling operator with output pixel stride of %zu: " |
| 108 | "stride must be at least as large as the number of channels (%zu)", |
| 109 | output_pixel_stride, channels); |
| 110 | goto error; |
| 111 | } |
| 112 | |
| 113 | if (input_scale <= 0.0f || !isnormal(input_scale)) { |
| 114 | xnn_log_error( |
| 115 | "failed to create Average Pooling operator with %.7g input scale: " |
| 116 | "scale must be finite, normalized, and positive", |
| 117 | input_scale); |
| 118 | goto error; |
| 119 | } |
| 120 | |
| 121 | if (output_scale <= 0.0f || !isnormal(output_scale)) { |
| 122 | xnn_log_error( |
| 123 | "failed to create Average Pooling operator with %.7g output scale: " |
| 124 | "scale must be finite, normalized, and positive", |
| 125 | output_scale); |
| 126 | goto error; |
| 127 | } |
| 128 | |
| 129 | if (output_min >= output_max) { |
| 130 | xnn_log_error( |
| 131 | "failed to create Average Pooling operator with [%" PRIu8 ", %" PRIu8 "] output range: " |
| 132 | "range min must be below range max", |
| 133 | output_min, output_max); |
| 134 | goto error; |
| 135 | } |
| 136 | |
| 137 | status = xnn_status_unsupported_parameter; |
| 138 | |
| 139 | const float input_output_scale = input_scale / output_scale; |
| 140 | if (input_output_scale < 0x1.0p-8f || input_output_scale >= 0x1.0p+8f) { |
| 141 | xnn_log_error( |
| 142 | "failed to create Average Pooling operator with %.7g input scale and %.7g output scale: " |
| 143 | "input-to-output scale ratio (%.7f) must be in [2**-8, 2**8) range", |
| 144 | input_scale, output_scale, input_output_scale); |
| 145 | goto error; |
| 146 | } |
| 147 | |
| 148 | if (pooling_size >= 16777216) { |
| 149 | xnn_log_error( |
| 150 | "failed to create Average Pooling operator with %"PRIu32" (%" PRIu32 "x%" PRIu32 ") pooling elements: " |
| 151 | "the number of elements in the pooling area must be below 2**24", |
| 152 | pooling_size, pooling_width, pooling_height); |
| 153 | goto error; |
| 154 | } |
| 155 | |
| 156 | status = xnn_status_out_of_memory; |
| 157 | |
Marat Dukhan | 04f03be | 2019-11-19 12:36:47 -0800 | [diff] [blame] | 158 | average_pooling_op = xnn_allocate_zero_simd_memory(sizeof(struct xnn_operator)); |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 159 | if (average_pooling_op == NULL) { |
| 160 | xnn_log_error("failed to allocate %zu bytes for Average Pooling operator descriptor", sizeof(struct xnn_operator)); |
| 161 | goto error; |
| 162 | } |
| 163 | |
| 164 | const bool any_padding = (input_padding_left | input_padding_top | input_padding_right | input_padding_bottom) != 0; |
| 165 | const uint32_t mr = xnn_params.q8.avgpool.mr; |
| 166 | const uint32_t qr = xnn_params.q8.avgpool.qr; |
| 167 | if (any_padding || pooling_size < mr || (pooling_size - mr) % qr != 0) { |
Marat Dukhan | 04f03be | 2019-11-19 12:36:47 -0800 | [diff] [blame] | 168 | void* zero_buffer = xnn_allocate_simd_memory(channels * sizeof(uint8_t) + XNN_EXTRA_BYTES); |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 169 | if (zero_buffer == NULL) { |
| 170 | xnn_log_error("failed to allocate %zu bytes for Average Pooling zero padding", |
| 171 | channels * sizeof(uint8_t) + XNN_EXTRA_BYTES); |
| 172 | goto error; |
| 173 | } |
| 174 | memset(zero_buffer, input_zero_point, channels * sizeof(uint8_t)); |
| 175 | average_pooling_op->zero_buffer = zero_buffer; |
| 176 | } |
| 177 | |
| 178 | average_pooling_op->padding_top = input_padding_top; |
| 179 | average_pooling_op->padding_right = input_padding_right; |
| 180 | average_pooling_op->padding_bottom = input_padding_bottom; |
| 181 | average_pooling_op->padding_left = input_padding_left; |
| 182 | |
| 183 | average_pooling_op->kernel_height = pooling_height; |
| 184 | average_pooling_op->kernel_width = pooling_width; |
| 185 | average_pooling_op->stride_height = stride_height; |
| 186 | average_pooling_op->stride_width = stride_width; |
| 187 | average_pooling_op->dilation_height = 1; |
| 188 | average_pooling_op->dilation_width = 1; |
| 189 | average_pooling_op->channels = channels; |
| 190 | average_pooling_op->input_pixel_stride = input_pixel_stride; |
| 191 | average_pooling_op->output_pixel_stride = output_pixel_stride; |
| 192 | |
| 193 | // Number of rows read in the micro-kernel. |
| 194 | const size_t nrows = round_up(doz(pooling_size, mr), qr) + mr; |
| 195 | average_pooling_op->q8_avgpool_params = |
Marat Dukhan | eeaa7bd | 2019-10-25 17:31:25 -0700 | [diff] [blame] | 196 | xnn_init_q8_avgpool_params( |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 197 | (int32_t) -((uint32_t) input_zero_point * (uint32_t) nrows), |
| 198 | input_scale / (output_scale * (float) pooling_size), |
| 199 | output_zero_point, output_min, output_max); |
| 200 | |
Marat Dukhan | efc47b8 | 2019-11-18 09:25:38 -0800 | [diff] [blame] | 201 | average_pooling_op->type = xnn_operator_type_average_pooling_nhwc_q8; |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 202 | average_pooling_op->ukernel.type = xnn_ukernel_type_average_pooling; |
| 203 | |
| 204 | *average_pooling_op_out = average_pooling_op; |
| 205 | return xnn_status_success; |
| 206 | |
| 207 | error: |
| 208 | xnn_delete_operator(average_pooling_op); |
| 209 | return status; |
| 210 | } |
| 211 | |
| 212 | enum xnn_status xnn_create_average_pooling2d_nhwc_f32( |
| 213 | uint32_t input_padding_top, |
| 214 | uint32_t input_padding_right, |
| 215 | uint32_t input_padding_bottom, |
| 216 | uint32_t input_padding_left, |
| 217 | uint32_t pooling_height, |
| 218 | uint32_t pooling_width, |
| 219 | uint32_t stride_height, |
| 220 | uint32_t stride_width, |
| 221 | size_t channels, |
| 222 | size_t input_pixel_stride, |
| 223 | size_t output_pixel_stride, |
| 224 | float output_min, |
| 225 | float output_max, |
| 226 | uint32_t flags, |
| 227 | xnn_operator_t* average_pooling_op_out) |
| 228 | { |
| 229 | xnn_operator_t average_pooling_op = NULL; |
| 230 | enum xnn_status status = xnn_status_uninitialized; |
| 231 | |
| 232 | if (!xnn_params.initialized) { |
| 233 | xnn_log_error("failed to create Average Pooling operator: XNNPACK is not initialized"); |
| 234 | goto error; |
| 235 | } |
| 236 | |
| 237 | status = xnn_status_invalid_parameter; |
| 238 | |
| 239 | const uint32_t pooling_size = pooling_height * pooling_width; |
| 240 | if (pooling_size == 0) { |
| 241 | xnn_log_error( |
| 242 | "failed to create Average Pooling operator with %" PRIu32 "x%" PRIu32 " pooling size: " |
| 243 | "pooling size dimensions must be non-zero", |
| 244 | pooling_width, pooling_height); |
| 245 | goto error; |
| 246 | } |
| 247 | |
| 248 | if (pooling_size == 1) { |
| 249 | xnn_log_error( |
| 250 | "failed to create Average Pooling operator with 1 pooling element: 1x1 pooling is meaningless"); |
| 251 | goto error; |
| 252 | } |
| 253 | |
| 254 | if (stride_height == 0 || stride_width == 0) { |
| 255 | xnn_log_error( |
| 256 | "failed to create Average Pooling operator with %" PRIu32 "x%" PRIu32 " stride: " |
| 257 | "stride dimensions must be non-zero", |
| 258 | stride_width, stride_height); |
| 259 | goto error; |
| 260 | } |
| 261 | |
| 262 | if (channels == 0) { |
| 263 | xnn_log_error( |
| 264 | "failed to create Average Pooling operator with %zu channels: number of channels must be non-zero", |
| 265 | channels); |
| 266 | goto error; |
| 267 | } |
| 268 | |
| 269 | if (input_pixel_stride < channels) { |
| 270 | xnn_log_error( |
| 271 | "failed to create Average Pooling operator with input pixel stride of %zu: " |
| 272 | "stride must be at least as large as the number of channels (%zu)", |
| 273 | input_pixel_stride, channels); |
| 274 | goto error; |
| 275 | } |
| 276 | |
| 277 | if (output_pixel_stride < channels) { |
| 278 | xnn_log_error( |
| 279 | "failed to create Average Pooling operator with output pixel stride of %zu: " |
| 280 | "stride must be at least as large as the number of channels (%zu)", |
| 281 | output_pixel_stride, channels); |
| 282 | goto error; |
| 283 | } |
| 284 | |
| 285 | if (isnan(output_min)) { |
| 286 | xnn_log_error( |
| 287 | "failed to create Average Pooling operator with NaN output lower bound: lower bound must be non-NaN"); |
| 288 | goto error; |
| 289 | } |
| 290 | |
| 291 | if (isnan(output_max)) { |
| 292 | xnn_log_error( |
| 293 | "failed to create Average Pooling operator with NaN output upper bound: upper bound must be non-NaN"); |
| 294 | goto error; |
| 295 | } |
| 296 | |
| 297 | if (output_min >= output_max) { |
| 298 | xnn_log_error( |
| 299 | "failed to create Average Pooling operator with [%.7g, %.7g] output range: lower bound must be below upper bound", |
| 300 | output_min, output_max); |
| 301 | goto error; |
| 302 | } |
| 303 | |
| 304 | status = xnn_status_out_of_memory; |
| 305 | |
Marat Dukhan | 04f03be | 2019-11-19 12:36:47 -0800 | [diff] [blame] | 306 | average_pooling_op = xnn_allocate_zero_simd_memory(sizeof(struct xnn_operator)); |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 307 | if (average_pooling_op == NULL) { |
| 308 | xnn_log_error("failed to allocate %zu bytes for Average Pooling operator descriptor", sizeof(struct xnn_operator)); |
| 309 | goto error; |
| 310 | } |
| 311 | |
| 312 | const bool any_padding = (input_padding_left | input_padding_top | input_padding_right | input_padding_bottom) != 0; |
| 313 | const uint32_t mr = xnn_params.f32.avgpool.mr; |
| 314 | const uint32_t qr = xnn_params.f32.avgpool.qr; |
| 315 | if (any_padding || pooling_size < mr || (pooling_size - mr) % qr != 0) { |
Marat Dukhan | 04f03be | 2019-11-19 12:36:47 -0800 | [diff] [blame] | 316 | void* zero_buffer = xnn_allocate_zero_simd_memory(channels * sizeof(float) + XNN_EXTRA_BYTES); |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 317 | if (zero_buffer == NULL) { |
| 318 | xnn_log_error("failed to allocate %zu bytes for Average Pooling zero padding", |
| 319 | channels * sizeof(float) + XNN_EXTRA_BYTES); |
| 320 | goto error; |
| 321 | } |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 322 | average_pooling_op->zero_buffer = zero_buffer; |
| 323 | } |
| 324 | |
| 325 | average_pooling_op->padding_top = input_padding_top; |
| 326 | average_pooling_op->padding_right = input_padding_right; |
| 327 | average_pooling_op->padding_bottom = input_padding_bottom; |
| 328 | average_pooling_op->padding_left = input_padding_left; |
| 329 | |
| 330 | average_pooling_op->kernel_height = pooling_height; |
| 331 | average_pooling_op->kernel_width = pooling_width; |
| 332 | average_pooling_op->stride_height = stride_height; |
| 333 | average_pooling_op->stride_width = stride_width; |
| 334 | average_pooling_op->dilation_height = 1; |
| 335 | average_pooling_op->dilation_width = 1; |
| 336 | average_pooling_op->channels = channels; |
| 337 | average_pooling_op->input_pixel_stride = input_pixel_stride; |
| 338 | average_pooling_op->output_pixel_stride = output_pixel_stride; |
| 339 | |
Marat Dukhan | efc47b8 | 2019-11-18 09:25:38 -0800 | [diff] [blame] | 340 | average_pooling_op->type = xnn_operator_type_average_pooling_nhwc_f32; |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 341 | if (any_padding) { |
| 342 | average_pooling_op->f32_output_params = |
Marat Dukhan | eeaa7bd | 2019-10-25 17:31:25 -0700 | [diff] [blame] | 343 | xnn_init_f32_output_params(output_min, output_max); |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 344 | |
| 345 | average_pooling_op->ukernel.type = xnn_ukernel_type_pixelwise_average_pooling; |
| 346 | } else { |
| 347 | average_pooling_op->f32_avgpool_params = |
Marat Dukhan | eeaa7bd | 2019-10-25 17:31:25 -0700 | [diff] [blame] | 348 | xnn_init_f32_avgpool_params(1.0f / (float) pooling_size, output_min, output_max); |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 349 | |
| 350 | average_pooling_op->ukernel.type = xnn_ukernel_type_average_pooling; |
| 351 | } |
| 352 | |
| 353 | *average_pooling_op_out = average_pooling_op; |
| 354 | return xnn_status_success; |
| 355 | |
| 356 | error: |
| 357 | xnn_delete_operator(average_pooling_op); |
| 358 | return status; |
| 359 | } |
| 360 | |
| 361 | enum xnn_status xnn_setup_average_pooling2d_nhwc_q8( |
| 362 | xnn_operator_t average_pooling_op, |
| 363 | size_t batch_size, |
| 364 | size_t input_height, |
| 365 | size_t input_width, |
| 366 | const uint8_t* input, |
| 367 | uint8_t* output, |
| 368 | pthreadpool_t threadpool) |
| 369 | { |
Marat Dukhan | efc47b8 | 2019-11-18 09:25:38 -0800 | [diff] [blame] | 370 | if (average_pooling_op->type != xnn_operator_type_average_pooling_nhwc_q8) { |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 371 | xnn_log_error("failed to setup Average Pooling (Q8) operator: operator type mismatch"); |
| 372 | return xnn_status_invalid_parameter; |
| 373 | } |
| 374 | average_pooling_op->state = xnn_run_state_invalid; |
| 375 | |
| 376 | if (!xnn_params.initialized) { |
| 377 | xnn_log_error("failed to setup Average Pooling operator: XNNPACK is not initialized"); |
| 378 | return xnn_status_uninitialized; |
| 379 | } |
| 380 | |
| 381 | if (input_width == 0 || input_height == 0) { |
| 382 | xnn_log_error( |
| 383 | "failed to setup Average Pooling operator with %zux%zu input: input dimensions must be non-zero", |
| 384 | input_width, input_height); |
| 385 | return xnn_status_invalid_parameter; |
| 386 | } |
| 387 | |
| 388 | if (batch_size == 0) { |
| 389 | average_pooling_op->state = xnn_run_state_skip; |
| 390 | return xnn_status_success; |
| 391 | } |
| 392 | |
| 393 | average_pooling_op->batch_size = batch_size; |
| 394 | average_pooling_op->input_height = input_height; |
| 395 | average_pooling_op->input_width = input_width; |
| 396 | average_pooling_op->input = input; |
| 397 | |
| 398 | average_pooling_op->output_height = compute_output_dimension( |
| 399 | average_pooling_op->padding_top + input_height + average_pooling_op->padding_bottom, |
| 400 | average_pooling_op->kernel_height, |
| 401 | average_pooling_op->stride_height); |
| 402 | average_pooling_op->output_width = compute_output_dimension( |
| 403 | average_pooling_op->padding_left + input_width + average_pooling_op->padding_right, |
| 404 | average_pooling_op->kernel_width, |
| 405 | average_pooling_op->stride_width); |
| 406 | average_pooling_op->output = output; |
| 407 | |
| 408 | size_t valid_batch_size = 0; |
| 409 | if (input == average_pooling_op->last_input && |
| 410 | input_height == average_pooling_op->last_input_height && |
| 411 | input_width == average_pooling_op->last_input_width) |
| 412 | { |
| 413 | valid_batch_size = average_pooling_op->valid_batch_size; |
| 414 | if (batch_size <= valid_batch_size) { |
| 415 | average_pooling_op->compute.range[0] = batch_size; |
Marat Dukhan | 866f7b3 | 2019-11-20 16:39:26 -0800 | [diff] [blame] | 416 | average_pooling_op->context.average_pooling.output = output; |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 417 | average_pooling_op->state = xnn_run_state_ready; |
| 418 | return xnn_status_success; |
| 419 | } |
| 420 | } |
| 421 | |
| 422 | const size_t pooling_height = average_pooling_op->kernel_height; |
| 423 | const size_t pooling_width = average_pooling_op->kernel_width; |
| 424 | const size_t pooling_size = pooling_height * pooling_width; |
| 425 | const size_t output_height = average_pooling_op->output_height; |
| 426 | const size_t output_width = average_pooling_op->output_width; |
| 427 | // Micro-kernel may read up to (mr - 1) elements after the end of indirection buffer. |
| 428 | const uint32_t mr = xnn_params.q8.avgpool.mr; |
| 429 | |
| 430 | const size_t step_width = min(average_pooling_op->stride_width, pooling_width); |
Marat Dukhan | bd8a962 | 2019-12-06 01:05:35 -0800 | [diff] [blame] | 431 | const size_t step_height = pooling_size + (output_width - 1) * step_width * pooling_height; |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 432 | const size_t indirection_buffer_size = sizeof(void*) * ((mr - 1) + batch_size * output_height * step_height); |
| 433 | |
Marat Dukhan | 04f03be | 2019-11-19 12:36:47 -0800 | [diff] [blame] | 434 | const void** indirection_buffer = (const void**) xnn_reallocate_memory(average_pooling_op->indirection_buffer, indirection_buffer_size); |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 435 | if (indirection_buffer == NULL) { |
| 436 | xnn_log_error("failed to allocate %zu bytes for indirection buffer", indirection_buffer_size); |
| 437 | return xnn_status_out_of_memory; |
| 438 | } |
| 439 | average_pooling_op->indirection_buffer = indirection_buffer; |
| 440 | |
| 441 | xnn_indirection_init_dwconv2d( |
| 442 | average_pooling_op, valid_batch_size, step_height, step_width, 0 /* log2(sizeof(uint8_t)) */); |
| 443 | |
| 444 | const uint32_t qr = xnn_params.q8.avgpool.qr; |
| 445 | const size_t channels = average_pooling_op->channels; |
| 446 | |
| 447 | const size_t indirect_input_height_stride = step_height * sizeof(void*); |
| 448 | const size_t output_width_stride = average_pooling_op->output_pixel_stride * sizeof(uint8_t); |
| 449 | const size_t output_height_stride = output_width * output_width_stride; |
| 450 | |
| 451 | const size_t multipass_adjustment = |
| 452 | pooling_size > mr ? round_up(pooling_size - mr, qr) + mr - qr : 0; |
| 453 | average_pooling_op->context.average_pooling = (struct average_pooling_context) { |
| 454 | .indirect_input = indirection_buffer, |
| 455 | .indirect_input_batch_stride = output_height * indirect_input_height_stride, |
| 456 | .indirect_input_height_stride = indirect_input_height_stride, |
| 457 | .output = output, |
| 458 | .output_batch_stride = output_height * output_height_stride, |
| 459 | .output_height_stride = output_height_stride, |
| 460 | .output_width = output_width, |
| 461 | .pooling_size = pooling_size, |
| 462 | .channels = channels, |
| 463 | .zero = average_pooling_op->zero_buffer, |
| 464 | .input_increment = (pooling_height * step_width - multipass_adjustment) * sizeof(void*), |
| 465 | .output_increment = output_width_stride - channels * sizeof(uint8_t), |
| 466 | .params.q8 = average_pooling_op->q8_avgpool_params, |
| 467 | }; |
| 468 | average_pooling_op->compute.type = xnn_parallelization_type_2d; |
| 469 | average_pooling_op->compute.range[0] = batch_size; |
| 470 | average_pooling_op->compute.range[1] = output_height; |
| 471 | |
| 472 | if (pooling_size <= mr) { |
| 473 | average_pooling_op->context.average_pooling.unipass_ukernel = xnn_params.q8.avgpool.up; |
| 474 | average_pooling_op->compute.task_2d = (pthreadpool_task_2d_t) xnn_compute_average_pooling_unipass; |
| 475 | } else { |
| 476 | average_pooling_op->context.average_pooling.multipass_ukernel = xnn_params.q8.avgpool.mp; |
| 477 | average_pooling_op->compute.task_2d = (pthreadpool_task_2d_t) xnn_compute_average_pooling_multipass; |
| 478 | } |
| 479 | average_pooling_op->state = xnn_run_state_ready; |
| 480 | |
| 481 | average_pooling_op->last_input = input; |
| 482 | average_pooling_op->last_input_height = input_height; |
| 483 | average_pooling_op->last_input_width = input_width; |
| 484 | average_pooling_op->valid_batch_size = max(valid_batch_size, batch_size); |
| 485 | |
| 486 | return xnn_status_success; |
| 487 | } |
| 488 | |
| 489 | enum xnn_status xnn_setup_average_pooling2d_nhwc_f32( |
| 490 | xnn_operator_t average_pooling_op, |
| 491 | size_t batch_size, |
| 492 | size_t input_height, |
| 493 | size_t input_width, |
| 494 | const float* input, |
| 495 | float* output, |
| 496 | pthreadpool_t threadpool) |
| 497 | { |
Marat Dukhan | efc47b8 | 2019-11-18 09:25:38 -0800 | [diff] [blame] | 498 | if (average_pooling_op->type != xnn_operator_type_average_pooling_nhwc_f32) { |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 499 | xnn_log_error("failed to setup Average Pooling (F32) operator: operator type mismatch"); |
| 500 | return xnn_status_invalid_parameter; |
| 501 | } |
| 502 | average_pooling_op->state = xnn_run_state_invalid; |
| 503 | |
| 504 | if (!xnn_params.initialized) { |
| 505 | xnn_log_error("failed to setup Average Pooling operator: XNNPACK is not initialized"); |
| 506 | return xnn_status_uninitialized; |
| 507 | } |
| 508 | |
| 509 | if (input_width == 0 || input_height == 0) { |
| 510 | xnn_log_error( |
| 511 | "failed to setup Average Pooling operator with %zux%zu input: input dimensions must be non-zero", |
| 512 | input_width, input_height); |
| 513 | return xnn_status_invalid_parameter; |
| 514 | } |
| 515 | |
| 516 | if (batch_size == 0) { |
| 517 | average_pooling_op->state = xnn_run_state_skip; |
| 518 | return xnn_status_success; |
| 519 | } |
| 520 | |
| 521 | average_pooling_op->batch_size = batch_size; |
| 522 | average_pooling_op->input_height = input_height; |
| 523 | average_pooling_op->input_width = input_width; |
| 524 | average_pooling_op->input = input; |
| 525 | |
| 526 | average_pooling_op->output_height = compute_output_dimension( |
| 527 | average_pooling_op->padding_top + input_height + average_pooling_op->padding_bottom, |
| 528 | average_pooling_op->kernel_height, |
| 529 | average_pooling_op->stride_height); |
| 530 | average_pooling_op->output_width = compute_output_dimension( |
| 531 | average_pooling_op->padding_left + input_width + average_pooling_op->padding_right, |
| 532 | average_pooling_op->kernel_width, |
| 533 | average_pooling_op->stride_width); |
| 534 | average_pooling_op->output = output; |
| 535 | |
| 536 | size_t valid_batch_size = 0; |
| 537 | if (input == average_pooling_op->last_input && |
| 538 | input_height == average_pooling_op->last_input_height && |
| 539 | input_width == average_pooling_op->last_input_width) |
| 540 | { |
| 541 | valid_batch_size = average_pooling_op->valid_batch_size; |
| 542 | if (batch_size <= valid_batch_size) { |
| 543 | average_pooling_op->compute.range[0] = batch_size; |
Marat Dukhan | 866f7b3 | 2019-11-20 16:39:26 -0800 | [diff] [blame] | 544 | average_pooling_op->context.average_pooling.output = output; |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 545 | average_pooling_op->state = xnn_run_state_ready; |
| 546 | return xnn_status_success; |
| 547 | } |
| 548 | } |
| 549 | |
| 550 | const size_t pooling_height = average_pooling_op->kernel_height; |
| 551 | const size_t pooling_width = average_pooling_op->kernel_width; |
| 552 | const size_t pooling_size = pooling_height * pooling_width; |
| 553 | const size_t output_height = average_pooling_op->output_height; |
| 554 | const size_t output_width = average_pooling_op->output_width; |
| 555 | // Micro-kernel may read up to (mr - 1) elements after the end of indirection buffer. |
| 556 | const uint32_t mr = xnn_params.f32.avgpool.mr; |
| 557 | assert(mr == xnn_params.f32.pavgpool.mr); |
| 558 | |
| 559 | const size_t step_width = min(average_pooling_op->stride_width, pooling_width); |
Marat Dukhan | bd8a962 | 2019-12-06 01:05:35 -0800 | [diff] [blame] | 560 | const size_t step_height = pooling_size + (output_width - 1) * step_width * pooling_height; |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 561 | const size_t indirection_buffer_size = sizeof(void*) * ((mr - 1) + batch_size * output_height * step_height); |
| 562 | |
Marat Dukhan | 04f03be | 2019-11-19 12:36:47 -0800 | [diff] [blame] | 563 | const void** indirection_buffer = (const void**) xnn_reallocate_memory(average_pooling_op->indirection_buffer, indirection_buffer_size); |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 564 | if (indirection_buffer == NULL) { |
| 565 | xnn_log_error("failed to allocate %zu bytes for indirection buffer", indirection_buffer_size); |
| 566 | return xnn_status_out_of_memory; |
| 567 | } |
| 568 | average_pooling_op->indirection_buffer = indirection_buffer; |
| 569 | |
| 570 | xnn_indirection_init_dwconv2d( |
| 571 | average_pooling_op, valid_batch_size, step_height, step_width, 2 /* log2(sizeof(float)) */); |
| 572 | |
| 573 | const size_t channels = average_pooling_op->channels; |
| 574 | |
| 575 | const size_t indirect_input_height_stride = step_height * sizeof(void*); |
| 576 | const size_t output_width_stride = average_pooling_op->output_pixel_stride * sizeof(float); |
| 577 | const size_t output_height_stride = output_width * output_width_stride; |
| 578 | |
| 579 | switch (average_pooling_op->ukernel.type) { |
| 580 | case xnn_ukernel_type_average_pooling: |
| 581 | { |
| 582 | const uint32_t qr = xnn_params.f32.avgpool.qr; |
| 583 | const size_t multipass_adjustment = |
| 584 | pooling_size > mr ? round_up(pooling_size - mr, qr) + mr - qr : 0; |
| 585 | average_pooling_op->context.average_pooling = (struct average_pooling_context) { |
| 586 | .indirect_input = indirection_buffer, |
| 587 | .indirect_input_batch_stride = output_height * indirect_input_height_stride, |
| 588 | .indirect_input_height_stride = indirect_input_height_stride, |
| 589 | .output = output, |
| 590 | .output_batch_stride = output_height * output_height_stride, |
| 591 | .output_height_stride = output_height_stride, |
| 592 | .output_width = output_width, |
| 593 | .pooling_size = pooling_size, |
| 594 | .channels = channels, |
| 595 | .zero = average_pooling_op->zero_buffer, |
| 596 | .input_increment = (pooling_height * step_width - multipass_adjustment) * sizeof(void*), |
| 597 | .output_increment = output_width_stride - channels * sizeof(float), |
| 598 | .params.f32 = average_pooling_op->f32_avgpool_params, |
| 599 | }; |
| 600 | if (pooling_size <= mr) { |
| 601 | average_pooling_op->context.average_pooling.unipass_ukernel = xnn_params.f32.avgpool.up; |
| 602 | average_pooling_op->compute.task_2d = (pthreadpool_task_2d_t) xnn_compute_average_pooling_unipass; |
| 603 | } else { |
| 604 | average_pooling_op->context.average_pooling.multipass_ukernel = xnn_params.f32.avgpool.mp; |
| 605 | average_pooling_op->compute.task_2d = (pthreadpool_task_2d_t) xnn_compute_average_pooling_multipass; |
| 606 | } |
| 607 | break; |
| 608 | } |
| 609 | case xnn_ukernel_type_pixelwise_average_pooling: |
| 610 | { |
| 611 | if (input_height != average_pooling_op->last_input_height || |
| 612 | input_width != average_pooling_op->last_input_width) |
| 613 | { |
| 614 | const size_t pixelwise_buffer_size = output_height * output_width * sizeof(float); |
Marat Dukhan | 04f03be | 2019-11-19 12:36:47 -0800 | [diff] [blame] | 615 | float* pixelwise_buffer = (float*) xnn_reallocate_memory(average_pooling_op->pixelwise_buffer, pixelwise_buffer_size); |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 616 | if (pixelwise_buffer == NULL) { |
| 617 | xnn_log_error("failed to allocate %zu bytes for pixelwise buffer", pixelwise_buffer_size); |
| 618 | return xnn_status_out_of_memory; |
| 619 | } |
| 620 | average_pooling_op->pixelwise_buffer = pixelwise_buffer; |
| 621 | |
| 622 | float* pixelwise_pointer = pixelwise_buffer; |
| 623 | for (size_t output_y = 0; output_y < output_height; output_y++) { |
| 624 | const size_t input_y_start = doz(output_y * average_pooling_op->stride_height, average_pooling_op->padding_top); |
| 625 | const size_t input_y_end = |
| 626 | min(doz(output_y * average_pooling_op->stride_height + average_pooling_op->kernel_height, average_pooling_op->padding_top), input_height); |
| 627 | const uint32_t input_y_range = (uint32_t) (input_y_end - input_y_start); |
| 628 | for (size_t output_x = 0; output_x < output_width; output_x++) { |
| 629 | const size_t input_x_start = doz(output_x * average_pooling_op->stride_width, average_pooling_op->padding_left); |
| 630 | const size_t input_x_end = |
| 631 | min(doz(output_x * average_pooling_op->stride_width + average_pooling_op->kernel_width, average_pooling_op->padding_left), input_width); |
| 632 | const uint32_t input_x_range = (uint32_t) (input_x_end - input_x_start); |
| 633 | *pixelwise_pointer++ = 1.0f / ((float) (int32_t) (input_y_range * input_x_range)); |
| 634 | } |
| 635 | } |
| 636 | } |
| 637 | |
| 638 | const uint32_t qr = xnn_params.f32.pavgpool.qr; |
| 639 | const size_t multipass_adjustment = |
| 640 | pooling_size > mr ? round_up(pooling_size - mr, qr) + mr - qr : 0; |
| 641 | average_pooling_op->context.pixelwise_average_pooling = (struct pixelwise_average_pooling_context) { |
| 642 | .indirect_input = indirection_buffer, |
| 643 | .indirect_input_batch_stride = output_height * indirect_input_height_stride, |
| 644 | .indirect_input_height_stride = indirect_input_height_stride, |
| 645 | .pixelwise_buffer = average_pooling_op->pixelwise_buffer, |
| 646 | .pixelwise_buffer_height_stride = output_width * sizeof(float), |
| 647 | .output = output, |
| 648 | .output_batch_stride = output_height * output_height_stride, |
| 649 | .output_height_stride = output_height_stride, |
| 650 | .output_width = output_width, |
| 651 | .pooling_size = pooling_size, |
| 652 | .channels = channels, |
| 653 | .zero = average_pooling_op->zero_buffer, |
| 654 | .input_increment = (pooling_height * step_width - multipass_adjustment) * sizeof(void*), |
| 655 | .output_increment = output_width_stride - channels * sizeof(float), |
| 656 | .params.f32 = average_pooling_op->f32_output_params, |
| 657 | }; |
| 658 | if (pooling_size <= mr) { |
| 659 | average_pooling_op->context.pixelwise_average_pooling.unipass_ukernel = xnn_params.f32.pavgpool.up; |
| 660 | average_pooling_op->compute.task_2d = (pthreadpool_task_2d_t) xnn_compute_pixelwise_average_pooling_unipass; |
| 661 | } else { |
| 662 | average_pooling_op->context.pixelwise_average_pooling.multipass_ukernel = xnn_params.f32.pavgpool.mp; |
| 663 | average_pooling_op->compute.task_2d = (pthreadpool_task_2d_t) xnn_compute_pixelwise_average_pooling_multipass; |
| 664 | } |
| 665 | break; |
| 666 | } |
| 667 | default: |
| 668 | XNN_UNREACHABLE; |
| 669 | } |
| 670 | average_pooling_op->compute.type = xnn_parallelization_type_2d; |
| 671 | average_pooling_op->compute.range[0] = batch_size; |
| 672 | average_pooling_op->compute.range[1] = output_height; |
| 673 | average_pooling_op->state = xnn_run_state_ready; |
| 674 | |
| 675 | average_pooling_op->last_input = input; |
| 676 | average_pooling_op->last_input_height = input_height; |
| 677 | average_pooling_op->last_input_width = input_width; |
| 678 | average_pooling_op->valid_batch_size = max(valid_batch_size, batch_size); |
| 679 | |
| 680 | return xnn_status_success; |
| 681 | } |