1 // Copyright 2019 Google LLC
2 //
3 // This source code is licensed under the BSD-style license found in the
4 // LICENSE file in the root directory of this source tree.
5
6 #include <assert.h>
7 #include <math.h>
8 #include <stdbool.h>
9 #include <stddef.h>
10 #include <stdint.h>
11 #include <stdlib.h>
12 #include <string.h>
13
14 #include <xnnpack.h>
15 #include <xnnpack/allocator.h>
16 #include <xnnpack/operator.h>
17 #include <xnnpack/log.h>
18 #include <xnnpack/common.h>
19 #include <xnnpack/math.h>
20 #include <xnnpack/params.h>
21 #include <xnnpack/indirection.h>
22
23
xnn_create_unpooling2d_nhwc_x32(uint32_t input_padding_top,uint32_t input_padding_right,uint32_t input_padding_bottom,uint32_t input_padding_left,uint32_t pooling_height,uint32_t pooling_width,size_t channels,size_t input_pixel_stride,size_t output_pixel_stride,uint32_t flags,xnn_operator_t * unpooling_op_out)24 enum xnn_status xnn_create_unpooling2d_nhwc_x32(
25 uint32_t input_padding_top,
26 uint32_t input_padding_right,
27 uint32_t input_padding_bottom,
28 uint32_t input_padding_left,
29 uint32_t pooling_height,
30 uint32_t pooling_width,
31 size_t channels,
32 size_t input_pixel_stride,
33 size_t output_pixel_stride,
34 uint32_t flags,
35 xnn_operator_t* unpooling_op_out)
36 {
37 xnn_operator_t unpooling_op = NULL;
38 enum xnn_status status = xnn_status_uninitialized;
39
40 if ((xnn_params.init_flags & XNN_INIT_FLAG_XNNPACK) == 0) {
41 xnn_log_error("failed to create %s operator: XNNPACK is not initialized",
42 xnn_operator_type_to_string(xnn_operator_type_unpooling_nhwc_x32));
43 goto error;
44 }
45
46 status = xnn_status_invalid_parameter;
47
48 const uint32_t pooling_size = pooling_height * pooling_width;
49 if (pooling_size == 0) {
50 xnn_log_error(
51 "failed to create %s operator with %" PRIu32 "x%" PRIu32 " pooling size: "
52 "pooling size dimensions must be non-zero",
53 xnn_operator_type_to_string(xnn_operator_type_unpooling_nhwc_x32), pooling_width, pooling_height);
54 goto error;
55 }
56
57 if (pooling_size == 1) {
58 xnn_log_error(
59 "failed to create %s operator with 1 pooling element: 1x1 unpooling is meaningless",
60 xnn_operator_type_to_string(xnn_operator_type_unpooling_nhwc_x32));
61 goto error;
62 }
63
64 if (channels == 0) {
65 xnn_log_error(
66 "failed to create %s operator with %zu channels: number of channels must be non-zero",
67 xnn_operator_type_to_string(xnn_operator_type_unpooling_nhwc_x32), channels);
68 goto error;
69 }
70
71 if (input_pixel_stride < channels) {
72 xnn_log_error(
73 "failed to create %s operator with input pixel stride of %zu: "
74 "stride must be at least as large as the number of channels (%zu)",
75 xnn_operator_type_to_string(xnn_operator_type_unpooling_nhwc_x32), input_pixel_stride, channels);
76 goto error;
77 }
78
79 if (output_pixel_stride < channels) {
80 xnn_log_error(
81 "failed to create %s operator with output pixel stride of %zu: "
82 "stride must be at least as large as the number of channels (%zu)",
83 xnn_operator_type_to_string(xnn_operator_type_unpooling_nhwc_x32), output_pixel_stride, channels);
84 goto error;
85 }
86
87 status = xnn_status_out_of_memory;
88
89 unpooling_op = xnn_allocate_zero_simd_memory(sizeof(struct xnn_operator));
90 if (unpooling_op == NULL) {
91 xnn_log_error(
92 "failed to allocate %zu bytes for %s operator descriptor",
93 sizeof(struct xnn_operator), xnn_operator_type_to_string(xnn_operator_type_unpooling_nhwc_x32));
94 goto error;
95 }
96
97 unpooling_op->padding_top = input_padding_top;
98 unpooling_op->padding_right = input_padding_right;
99 unpooling_op->padding_bottom = input_padding_bottom;
100 unpooling_op->padding_left = input_padding_left;
101
102 unpooling_op->kernel_height = pooling_height;
103 unpooling_op->kernel_width = pooling_width;
104 unpooling_op->channels = channels;
105 unpooling_op->input_pixel_stride = input_pixel_stride;
106 unpooling_op->output_pixel_stride = output_pixel_stride;
107
108 unpooling_op->type = xnn_operator_type_unpooling_nhwc_x32;
109 unpooling_op->flags = flags;
110
111 unpooling_op->state = xnn_run_state_invalid;
112
113 *unpooling_op_out = unpooling_op;
114 return xnn_status_success;
115
116 error:
117 xnn_delete_operator(unpooling_op);
118 return status;
119 }
120
xnn_setup_unpooling2d_nhwc_x32(xnn_operator_t unpooling_op,size_t batch_size,size_t input_height,size_t input_width,const void * input,const uint32_t * index,void * output,pthreadpool_t threadpool)121 enum xnn_status xnn_setup_unpooling2d_nhwc_x32(
122 xnn_operator_t unpooling_op,
123 size_t batch_size,
124 size_t input_height,
125 size_t input_width,
126 const void* input,
127 const uint32_t* index,
128 void* output,
129 pthreadpool_t threadpool)
130 {
131 if (unpooling_op->type != xnn_operator_type_unpooling_nhwc_x32) {
132 xnn_log_error("failed to setup operator: operator type mismatch (expected %s, got %s)",
133 xnn_operator_type_to_string(xnn_operator_type_unpooling_nhwc_x32),
134 xnn_operator_type_to_string(unpooling_op->type));
135 return xnn_status_invalid_parameter;
136 }
137 unpooling_op->state = xnn_run_state_invalid;
138
139 if ((xnn_params.init_flags & XNN_INIT_FLAG_XNNPACK) == 0) {
140 xnn_log_error("failed to setup %s operator: XNNPACK is not initialized",
141 xnn_operator_type_to_string(xnn_operator_type_unpooling_nhwc_x32));
142 return xnn_status_uninitialized;
143 }
144
145 if (input_width == 0 || input_height == 0) {
146 xnn_log_error(
147 "failed to setup %s operator with %zux%zu input: input dimensions must be non-zero",
148 xnn_operator_type_to_string(xnn_operator_type_unpooling_nhwc_x32), input_width, input_height);
149 return xnn_status_invalid_parameter;
150 }
151
152 if (batch_size == 0) {
153 unpooling_op->state = xnn_run_state_skip;
154 return xnn_status_success;
155 }
156
157 unpooling_op->batch_size = batch_size;
158 unpooling_op->input_height = input_height;
159 unpooling_op->input_width = input_width;
160 unpooling_op->input = input;
161
162 unpooling_op->output_height = xnn_compute_unpooling_output_dimension(
163 input_height, unpooling_op->padding_top + unpooling_op->padding_bottom,
164 unpooling_op->kernel_height);
165 unpooling_op->output_width = xnn_compute_unpooling_output_dimension(
166 input_width, unpooling_op->padding_left + unpooling_op->padding_right,
167 unpooling_op->kernel_width);
168 unpooling_op->output = output;
169
170 size_t valid_batch_size = 0;
171 if (output == unpooling_op->last_output &&
172 input_height == unpooling_op->last_input_height &&
173 input_width == unpooling_op->last_input_width)
174 {
175 valid_batch_size = unpooling_op->valid_batch_size;
176 if (batch_size <= valid_batch_size) {
177 unpooling_op->compute.range[0] = batch_size * input_height;
178 unpooling_op->state = xnn_run_state_ready;
179 return xnn_status_success;
180 }
181 }
182
183 const size_t pooling_height = unpooling_op->kernel_height;
184 const size_t pooling_width = unpooling_op->kernel_width;
185 const size_t pooling_size = pooling_height * pooling_width;
186
187 const size_t indirection_buffer_size = sizeof(void*) * (batch_size * input_height * input_width * pooling_size);
188 const void** indirection_buffer = (const void**) xnn_reallocate_memory(unpooling_op->indirection_buffer, indirection_buffer_size);
189 if (indirection_buffer == NULL) {
190 xnn_log_error(
191 "failed to allocate %zu bytes for %s operator indirection buffer",
192 indirection_buffer_size, xnn_operator_type_to_string(xnn_operator_type_unpooling_nhwc_x32));
193 return xnn_status_out_of_memory;
194 }
195 unpooling_op->indirection_buffer = indirection_buffer;
196
197 xnn_indirection_init_unpool2d(unpooling_op, valid_batch_size, 2 /* log2(sizeof(type32)) */);
198
199 const size_t channels = unpooling_op->channels;
200 const size_t input_pixel_stride_in_bytes = unpooling_op->input_pixel_stride * sizeof(float);
201 unpooling_op->context.unpooling = (struct unpooling_context) {
202 .input = input,
203 .input_height_stride = input_width * input_pixel_stride_in_bytes,
204 .input_width_stride = input_pixel_stride_in_bytes,
205 .index = index,
206 .index_height_stride = input_width * channels * sizeof(uint32_t),
207 .index_width_stride = channels * sizeof(uint32_t),
208 .indirect_output = indirection_buffer,
209 .indirect_output_height_stride = input_width * pooling_size * sizeof(void*),
210 .indirect_output_width_stride = pooling_size * sizeof(void*),
211 .pooling_size = pooling_size,
212 .channels = channels,
213 .fill_value = 0,
214 .ukernel = xnn_params.x32.unpool,
215 };
216 unpooling_op->compute.type = xnn_parallelization_type_2d;
217 unpooling_op->compute.task_2d = (pthreadpool_task_2d_t) xnn_compute_unpooling;
218 unpooling_op->compute.range[0] = batch_size * input_height;
219 unpooling_op->compute.range[1] = input_width;
220 unpooling_op->state = xnn_run_state_ready;
221
222 unpooling_op->last_output = output;
223 unpooling_op->last_input_height = input_height;
224 unpooling_op->last_input_width = input_width;
225 unpooling_op->valid_batch_size = max(valid_batch_size, batch_size);
226
227 return xnn_status_success;
228 }
229