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> |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 19 | #include <xnnpack/common.h> |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 20 | #include <xnnpack/indirection.h> |
Marat Dukhan | eeaa7bd | 2019-10-25 17:31:25 -0700 | [diff] [blame] | 21 | #include <xnnpack/log.h> |
| 22 | #include <xnnpack/math.h> |
| 23 | #include <xnnpack/operator.h> |
| 24 | #include <xnnpack/params-init.h> |
| 25 | #include <xnnpack/params.h> |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 26 | |
| 27 | |
| 28 | static inline size_t compute_output_dimension( |
| 29 | size_t padded_input_dimension, |
| 30 | size_t kernel_dimension, |
| 31 | size_t dilation_dimension, |
| 32 | size_t stride_dimension) |
| 33 | { |
| 34 | const size_t effective_kernel_dimension = (kernel_dimension - 1) * dilation_dimension + 1; |
| 35 | return (padded_input_dimension - effective_kernel_dimension) / stride_dimension + 1; |
| 36 | } |
| 37 | |
| 38 | enum xnn_status xnn_create_max_pooling2d_nhwc_u8( |
| 39 | uint32_t input_padding_top, |
| 40 | uint32_t input_padding_right, |
| 41 | uint32_t input_padding_bottom, |
| 42 | uint32_t input_padding_left, |
| 43 | uint32_t pooling_height, |
| 44 | uint32_t pooling_width, |
| 45 | uint32_t stride_height, |
| 46 | uint32_t stride_width, |
| 47 | uint32_t dilation_height, |
| 48 | uint32_t dilation_width, |
| 49 | size_t channels, |
| 50 | size_t input_pixel_stride, |
| 51 | size_t output_pixel_stride, |
| 52 | uint8_t output_min, |
| 53 | uint8_t output_max, |
| 54 | uint32_t flags, |
| 55 | xnn_operator_t* max_pooling_op_out) |
| 56 | { |
| 57 | xnn_operator_t max_pooling_op = NULL; |
| 58 | enum xnn_status status = xnn_status_uninitialized; |
| 59 | |
| 60 | if (!xnn_params.initialized) { |
| 61 | xnn_log_error("failed to create Max 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 Max 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 Max 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 Max 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 (dilation_height == 0 || dilation_width == 0) { |
| 91 | xnn_log_error( |
| 92 | "failed to create Max Pooling operator with %" PRIu32 "x%" PRIu32 " dilation: " |
| 93 | "dilation dimensions must be non-zero", |
| 94 | dilation_width, dilation_height); |
| 95 | goto error; |
| 96 | } |
| 97 | |
| 98 | if (channels == 0) { |
| 99 | xnn_log_error( |
| 100 | "failed to create Max Pooling operator with %zu channels: number of channels must be non-zero", |
| 101 | channels); |
| 102 | goto error; |
| 103 | } |
| 104 | |
| 105 | if (input_pixel_stride < channels) { |
| 106 | xnn_log_error( |
| 107 | "failed to create Max Pooling operator with input pixel stride of %zu: " |
| 108 | "stride must be at least as large as the number of channels (%zu)", |
| 109 | input_pixel_stride, channels); |
| 110 | goto error; |
| 111 | } |
| 112 | |
| 113 | if (output_pixel_stride < channels) { |
| 114 | xnn_log_error( |
| 115 | "failed to create Max Pooling operator with output pixel stride of %zu: " |
| 116 | "stride must be at least as large as the number of channels (%zu)", |
| 117 | output_pixel_stride, channels); |
| 118 | goto error; |
| 119 | } |
| 120 | |
| 121 | if (output_min >= output_max) { |
| 122 | xnn_log_error( |
| 123 | "failed to create Max Pooling operator with [%" PRIu8 ", %" PRIu8 "] output range: " |
| 124 | "range min must be below range max", |
| 125 | output_min, output_max); |
| 126 | goto error; |
| 127 | } |
| 128 | |
| 129 | status = xnn_status_out_of_memory; |
| 130 | |
Marat Dukhan | 04f03be | 2019-11-19 12:36:47 -0800 | [diff] [blame] | 131 | max_pooling_op = xnn_allocate_zero_simd_memory(sizeof(struct xnn_operator)); |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 132 | if (max_pooling_op == NULL) { |
| 133 | xnn_log_error("failed to allocate %zu bytes for Max Pooling operator descriptor", sizeof(struct xnn_operator)); |
| 134 | goto error; |
| 135 | } |
| 136 | |
| 137 | max_pooling_op->padding_top = input_padding_top; |
| 138 | max_pooling_op->padding_right = input_padding_right; |
| 139 | max_pooling_op->padding_bottom = input_padding_bottom; |
| 140 | max_pooling_op->padding_left = input_padding_left; |
| 141 | |
| 142 | max_pooling_op->kernel_height = pooling_height; |
| 143 | max_pooling_op->kernel_width = pooling_width; |
| 144 | max_pooling_op->stride_height = stride_height; |
| 145 | max_pooling_op->stride_width = stride_width; |
| 146 | max_pooling_op->dilation_height = dilation_height; |
| 147 | max_pooling_op->dilation_width = dilation_width; |
| 148 | max_pooling_op->channels = channels; |
| 149 | max_pooling_op->input_pixel_stride = input_pixel_stride; |
| 150 | max_pooling_op->output_pixel_stride = output_pixel_stride; |
| 151 | |
Marat Dukhan | eeaa7bd | 2019-10-25 17:31:25 -0700 | [diff] [blame] | 152 | max_pooling_op->u8_output_params = xnn_init_u8_output_params(output_min, output_max); |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 153 | |
Marat Dukhan | efc47b8 | 2019-11-18 09:25:38 -0800 | [diff] [blame] | 154 | max_pooling_op->type = xnn_operator_type_max_pooling_nhwc_u8; |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 155 | max_pooling_op->ukernel.type = xnn_ukernel_type_max_pooling; |
| 156 | |
| 157 | max_pooling_op->state = xnn_run_state_invalid; |
| 158 | |
| 159 | *max_pooling_op_out = max_pooling_op; |
| 160 | return xnn_status_success; |
| 161 | |
| 162 | error: |
| 163 | xnn_delete_operator(max_pooling_op); |
| 164 | return status; |
| 165 | } |
| 166 | |
| 167 | enum xnn_status xnn_create_max_pooling2d_nhwc_f32( |
| 168 | uint32_t input_padding_top, |
| 169 | uint32_t input_padding_right, |
| 170 | uint32_t input_padding_bottom, |
| 171 | uint32_t input_padding_left, |
| 172 | uint32_t pooling_height, |
| 173 | uint32_t pooling_width, |
| 174 | uint32_t stride_height, |
| 175 | uint32_t stride_width, |
| 176 | uint32_t dilation_height, |
| 177 | uint32_t dilation_width, |
| 178 | size_t channels, |
| 179 | size_t input_pixel_stride, |
| 180 | size_t output_pixel_stride, |
| 181 | float output_min, |
| 182 | float output_max, |
| 183 | uint32_t flags, |
| 184 | xnn_operator_t* max_pooling_op_out) |
| 185 | { |
| 186 | xnn_operator_t max_pooling_op = NULL; |
| 187 | enum xnn_status status = xnn_status_uninitialized; |
| 188 | |
| 189 | if (!xnn_params.initialized) { |
| 190 | xnn_log_error("failed to setup Max Pooling operator: XNNPACK is not initialized"); |
| 191 | return xnn_status_uninitialized; |
| 192 | } |
| 193 | |
| 194 | status = xnn_status_invalid_parameter; |
| 195 | |
| 196 | const uint32_t pooling_size = pooling_height * pooling_width; |
| 197 | if (pooling_size == 0) { |
| 198 | xnn_log_error( |
| 199 | "failed to create Max Pooling operator with %" PRIu32 "x%" PRIu32 " pooling size: " |
| 200 | "pooling size dimensions must be non-zero", |
| 201 | pooling_width, pooling_height); |
| 202 | goto error; |
| 203 | } |
| 204 | |
| 205 | if (pooling_size == 1) { |
| 206 | xnn_log_error( |
| 207 | "failed to create Max Pooling operator with 1 pooling element: " |
| 208 | "1x1 pooling is meaningless"); |
| 209 | goto error; |
| 210 | } |
| 211 | |
| 212 | if (stride_height == 0 || stride_width == 0) { |
| 213 | xnn_log_error( |
| 214 | "failed to create Max Pooling operator with %" PRIu32 "x%" PRIu32 " stride: " |
| 215 | "stride dimensions must be non-zero", |
| 216 | stride_width, stride_height); |
| 217 | goto error; |
| 218 | } |
| 219 | |
| 220 | if (dilation_height == 0 || dilation_width == 0) { |
| 221 | xnn_log_error( |
| 222 | "failed to create Max Pooling operator with %" PRIu32 "x%" PRIu32 " dilation: " |
| 223 | "dilation dimensions must be non-zero", |
| 224 | dilation_width, dilation_height); |
| 225 | goto error; |
| 226 | } |
| 227 | |
| 228 | if (channels == 0) { |
| 229 | xnn_log_error( |
| 230 | "failed to create Max Pooling operator with %zu channels: number of channels must be non-zero", |
| 231 | channels); |
| 232 | goto error; |
| 233 | } |
| 234 | |
| 235 | if (input_pixel_stride < channels) { |
| 236 | xnn_log_error( |
| 237 | "failed to create Max Pooling operator with input pixel stride of %zu: " |
| 238 | "stride must be at least as large as the number of channels (%zu)", |
| 239 | input_pixel_stride, channels); |
| 240 | goto error; |
| 241 | } |
| 242 | |
| 243 | if (output_pixel_stride < channels) { |
| 244 | xnn_log_error( |
| 245 | "failed to create Max Pooling operator with output pixel stride of %zu: " |
| 246 | "stride must be at least as large as the number of channels (%zu)", |
| 247 | output_pixel_stride, channels); |
| 248 | goto error; |
| 249 | } |
| 250 | |
| 251 | if (isnan(output_min)) { |
| 252 | xnn_log_error( |
| 253 | "failed to create Max Pooling with NaN output lower bound: lower bound must be non-NaN"); |
| 254 | goto error; |
| 255 | } |
| 256 | |
| 257 | if (isnan(output_max)) { |
| 258 | xnn_log_error( |
| 259 | "failed to create Max Pooling with NaN output upper bound: upper bound must be non-NaN"); |
| 260 | goto error; |
| 261 | } |
| 262 | |
| 263 | if (output_min >= output_max) { |
| 264 | xnn_log_error( |
| 265 | "failed to create Max Pooling with [%.7g, %.7g] output range: lower bound must be below upper bound", |
| 266 | output_min, output_max); |
| 267 | goto error; |
| 268 | } |
| 269 | |
| 270 | status = xnn_status_out_of_memory; |
| 271 | |
Marat Dukhan | 04f03be | 2019-11-19 12:36:47 -0800 | [diff] [blame] | 272 | max_pooling_op = xnn_allocate_zero_simd_memory(sizeof(struct xnn_operator)); |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 273 | if (max_pooling_op == NULL) { |
| 274 | xnn_log_error("failed to allocate %zu bytes for Max Pooling operator descriptor", sizeof(struct xnn_operator)); |
| 275 | goto error; |
| 276 | } |
| 277 | |
| 278 | max_pooling_op->padding_top = input_padding_top; |
| 279 | max_pooling_op->padding_right = input_padding_right; |
| 280 | max_pooling_op->padding_bottom = input_padding_bottom; |
| 281 | max_pooling_op->padding_left = input_padding_left; |
| 282 | |
| 283 | max_pooling_op->kernel_height = pooling_height; |
| 284 | max_pooling_op->kernel_width = pooling_width; |
| 285 | max_pooling_op->stride_height = stride_height; |
| 286 | max_pooling_op->stride_width = stride_width; |
| 287 | max_pooling_op->dilation_height = dilation_height; |
| 288 | max_pooling_op->dilation_width = dilation_width; |
| 289 | max_pooling_op->channels = channels; |
| 290 | max_pooling_op->input_pixel_stride = input_pixel_stride; |
| 291 | max_pooling_op->output_pixel_stride = output_pixel_stride; |
| 292 | |
Marat Dukhan | eeaa7bd | 2019-10-25 17:31:25 -0700 | [diff] [blame] | 293 | max_pooling_op->f32_output_params = xnn_init_f32_output_params(output_min, output_max); |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 294 | |
Marat Dukhan | efc47b8 | 2019-11-18 09:25:38 -0800 | [diff] [blame] | 295 | max_pooling_op->type = xnn_operator_type_max_pooling_nhwc_f32; |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 296 | max_pooling_op->ukernel.type = xnn_ukernel_type_max_pooling; |
| 297 | |
| 298 | max_pooling_op->state = xnn_run_state_invalid; |
| 299 | |
| 300 | *max_pooling_op_out = max_pooling_op; |
| 301 | return xnn_status_success; |
| 302 | |
| 303 | error: |
| 304 | xnn_delete_operator(max_pooling_op); |
| 305 | return status; |
| 306 | } |
| 307 | |
Marat Dukhan | 329da64 | 2019-11-19 21:44:39 -0800 | [diff] [blame] | 308 | static enum xnn_status setup_max_pooling2d( |
| 309 | xnn_operator_t max_pooling_op, |
| 310 | size_t batch_size, |
| 311 | size_t input_height, |
| 312 | size_t input_width, |
| 313 | const void* input, |
| 314 | void* output, |
| 315 | uint32_t log2_input_element_size, |
| 316 | uint32_t log2_output_element_size, |
| 317 | struct maxpool_parameters maxpool[restrict static 1], |
| 318 | const void* params, |
| 319 | size_t num_threads) |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 320 | { |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 321 | max_pooling_op->state = xnn_run_state_invalid; |
| 322 | |
| 323 | if (!xnn_params.initialized) { |
| 324 | xnn_log_error( |
| 325 | "failed to setup Max Pooling operator: XNNPACK is not initialized"); |
| 326 | return xnn_status_uninitialized; |
| 327 | } |
| 328 | |
| 329 | if (input_width == 0 || input_height == 0) { |
| 330 | xnn_log_error( |
| 331 | "failed to setup Max Pooling operator with %zux%zu input: input dimensions must be non-zero", |
| 332 | input_width, input_height); |
| 333 | return xnn_status_invalid_parameter; |
| 334 | } |
| 335 | |
| 336 | if (batch_size == 0) { |
| 337 | max_pooling_op->state = xnn_run_state_skip; |
| 338 | return xnn_status_success; |
| 339 | } |
| 340 | |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 341 | max_pooling_op->input_height = input_height; |
| 342 | max_pooling_op->input_width = input_width; |
| 343 | max_pooling_op->input = input; |
| 344 | |
| 345 | max_pooling_op->output_height = compute_output_dimension( |
| 346 | max_pooling_op->padding_top + input_height + max_pooling_op->padding_bottom, |
| 347 | max_pooling_op->kernel_height, |
| 348 | max_pooling_op->dilation_height, |
| 349 | max_pooling_op->stride_height); |
| 350 | max_pooling_op->output_width = compute_output_dimension( |
| 351 | max_pooling_op->padding_left + input_width + max_pooling_op->padding_right, |
| 352 | max_pooling_op->kernel_width, |
| 353 | max_pooling_op->dilation_width, |
| 354 | max_pooling_op->stride_width); |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 355 | |
| 356 | const size_t pooling_height = max_pooling_op->kernel_height; |
| 357 | const size_t pooling_width = max_pooling_op->kernel_width; |
| 358 | const size_t pooling_size = pooling_height * pooling_width; |
| 359 | const size_t output_height = max_pooling_op->output_height; |
| 360 | const size_t output_width = max_pooling_op->output_width; |
Marat Dukhan | 329da64 | 2019-11-19 21:44:39 -0800 | [diff] [blame] | 361 | const uint32_t mr = maxpool->mr; |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 362 | |
| 363 | const size_t step_width = |
| 364 | max_pooling_op->dilation_width > 1 ? pooling_width : min(max_pooling_op->stride_width, pooling_width); |
Marat Dukhan | bd8a962 | 2019-12-06 01:05:35 -0800 | [diff] [blame] | 365 | 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] | 366 | |
Marat Dukhan | 329da64 | 2019-11-19 21:44:39 -0800 | [diff] [blame] | 367 | if (input_height != max_pooling_op->last_input_height || |
| 368 | input_width != max_pooling_op->last_input_width) |
| 369 | { |
| 370 | // Micro-kernel may read up to (mr - 1) elements after the end of indirection buffer. |
| 371 | const size_t indirection_buffer_size = sizeof(void*) * ((mr - 1) + output_height * step_height); |
| 372 | const void** indirection_buffer = (const void**) xnn_reallocate_memory(max_pooling_op->indirection_buffer, indirection_buffer_size); |
| 373 | if (indirection_buffer == NULL) { |
| 374 | xnn_log_error("failed to allocate %zu bytes for indirection buffer", indirection_buffer_size); |
| 375 | return xnn_status_out_of_memory; |
| 376 | } |
| 377 | max_pooling_op->indirection_buffer = indirection_buffer; |
| 378 | |
| 379 | xnn_indirection_init_maxpool2d(max_pooling_op, step_height, step_width, log2_input_element_size); |
| 380 | |
| 381 | max_pooling_op->last_input = input; |
| 382 | max_pooling_op->last_input_height = input_height; |
| 383 | max_pooling_op->last_input_width = input_width; |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 384 | } |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 385 | |
Marat Dukhan | 329da64 | 2019-11-19 21:44:39 -0800 | [diff] [blame] | 386 | const uint32_t qr = maxpool->qr; |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 387 | const size_t channels = max_pooling_op->channels; |
| 388 | |
| 389 | const size_t indirect_input_height_stride = step_height * sizeof(void*); |
Marat Dukhan | 329da64 | 2019-11-19 21:44:39 -0800 | [diff] [blame] | 390 | const size_t output_width_stride = max_pooling_op->output_pixel_stride << log2_output_element_size; |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 391 | const size_t output_height_stride = output_width * output_width_stride; |
| 392 | const size_t multipass_adjustment = round_up(doz(pooling_size, mr), qr) + mr; |
| 393 | |
| 394 | max_pooling_op->context.max_pooling = (struct max_pooling_context) { |
Marat Dukhan | 329da64 | 2019-11-19 21:44:39 -0800 | [diff] [blame] | 395 | .indirect_input = max_pooling_op->indirection_buffer, |
| 396 | .indirect_input_height_stride = indirect_input_height_stride, |
| 397 | .input_offset = (size_t) ((uintptr_t) input - (uintptr_t) max_pooling_op->last_input), |
| 398 | .input_batch_stride = (input_height * input_width * max_pooling_op->input_pixel_stride) << log2_input_element_size, |
| 399 | .output = output, |
| 400 | .output_batch_stride = output_height * output_height_stride, |
| 401 | .output_height_stride = output_height_stride, |
| 402 | .output_width = output_width, |
| 403 | .pooling_size = pooling_size, |
| 404 | .channels = channels, |
| 405 | .input_increment = (pooling_height * step_width - multipass_adjustment) * sizeof(void*), |
| 406 | .output_increment = output_width_stride - (channels << log2_output_element_size), |
| 407 | .ukernel = maxpool->ukernel, |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 408 | }; |
Marat Dukhan | 329da64 | 2019-11-19 21:44:39 -0800 | [diff] [blame] | 409 | memcpy(&max_pooling_op->context.max_pooling.params, params, sizeof(max_pooling_op->context.max_pooling.params)); |
| 410 | |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 411 | max_pooling_op->compute.type = xnn_parallelization_type_2d; |
| 412 | max_pooling_op->compute.task_2d = (pthreadpool_task_2d_t) xnn_compute_max_pooling; |
| 413 | max_pooling_op->compute.range[0] = batch_size; |
| 414 | max_pooling_op->compute.range[1] = output_height; |
| 415 | max_pooling_op->state = xnn_run_state_ready; |
| 416 | |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 417 | return xnn_status_success; |
| 418 | } |
Marat Dukhan | 329da64 | 2019-11-19 21:44:39 -0800 | [diff] [blame] | 419 | |
| 420 | enum xnn_status xnn_setup_max_pooling2d_nhwc_u8( |
| 421 | xnn_operator_t max_pooling_op, |
| 422 | size_t batch_size, |
| 423 | size_t input_height, |
| 424 | size_t input_width, |
| 425 | const uint8_t* input, |
| 426 | uint8_t* output, |
| 427 | pthreadpool_t threadpool) |
| 428 | { |
| 429 | if (max_pooling_op->type != xnn_operator_type_max_pooling_nhwc_u8) { |
| 430 | xnn_log_error("failed to setup Max Pooling (NHWC, U8) operator: operator type mismatch"); |
| 431 | return xnn_status_invalid_parameter; |
| 432 | } |
| 433 | |
| 434 | return setup_max_pooling2d( |
| 435 | max_pooling_op, |
| 436 | batch_size, input_height, input_width, |
| 437 | input, output, |
| 438 | 0 /* log2(sizeof(input element)) = log2(sizeof(uint8_t)) */, |
| 439 | 0 /* log2(sizeof(output element)) = log2(sizeof(uint8_t)) */, |
| 440 | &xnn_params.u8.maxpool, |
| 441 | &max_pooling_op->u8_output_params, |
| 442 | pthreadpool_get_threads_count(threadpool)); |
| 443 | } |
| 444 | |
| 445 | enum xnn_status xnn_setup_max_pooling2d_nhwc_f32( |
| 446 | xnn_operator_t max_pooling_op, |
| 447 | size_t batch_size, |
| 448 | size_t input_height, |
| 449 | size_t input_width, |
| 450 | const float* input, |
| 451 | float* output, |
| 452 | pthreadpool_t threadpool) |
| 453 | { |
| 454 | if (max_pooling_op->type != xnn_operator_type_max_pooling_nhwc_f32) { |
| 455 | xnn_log_error("failed to setup Max Pooling (NHWC, F32) operator: operator type mismatch"); |
| 456 | return xnn_status_invalid_parameter; |
| 457 | } |
| 458 | |
| 459 | return setup_max_pooling2d( |
| 460 | max_pooling_op, |
| 461 | batch_size, input_height, input_width, |
| 462 | input, output, |
| 463 | 2 /* log2(sizeof(input element)) = log2(sizeof(float)) */, |
| 464 | 2 /* log2(sizeof(output element)) = log2(sizeof(float)) */, |
| 465 | &xnn_params.f32.maxpool, |
| 466 | &max_pooling_op->f32_output_params, |
| 467 | pthreadpool_get_threads_count(threadpool)); |
| 468 | } |
| 469 | |