1 // Copyright 2020 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 <stddef.h>
8 #include <stdint.h>
9
10 #include <xnnpack.h>
11 #include <xnnpack/log.h>
12 #include <xnnpack/operator.h>
13 #include <xnnpack/params.h>
14 #include <xnnpack/subgraph.h>
15 #include <xnnpack/subgraph-validation.h>
16
17
create_depth_to_space_operator(const struct xnn_node * node,const struct xnn_value * values,size_t num_values,struct xnn_operator_data * opdata,const struct xnn_caches * caches)18 static enum xnn_status create_depth_to_space_operator(
19 const struct xnn_node* node,
20 const struct xnn_value* values,
21 size_t num_values,
22 struct xnn_operator_data* opdata,
23 const struct xnn_caches* caches)
24 {
25 assert(node->num_inputs == 1);
26 const uint32_t input_id = node->inputs[0];
27 assert(input_id != XNN_INVALID_VALUE_ID);
28 assert(input_id < num_values);
29
30 assert(node->num_outputs == 1);
31 const uint32_t output_id = node->outputs[0];
32 assert(output_id != XNN_INVALID_VALUE_ID);
33 assert(output_id < num_values);
34
35 const size_t input_channel_dim = values[input_id].shape.dim[3];
36 const size_t output_channel_dim = values[output_id].shape.dim[3];
37
38 enum xnn_status status;
39 if (values[input_id].layout == xnn_layout_type_nchw) {
40 assert(values[output_id].layout == xnn_layout_type_nhwc);
41 assert(node->compute_type == xnn_compute_type_fp32);
42 status = xnn_create_depth_to_space_nchw2nhwc_x32(
43 output_channel_dim /* output channels */,
44 input_channel_dim /* input stride */,
45 output_channel_dim /* output stride */,
46 node->params.depth_to_space.block_size,
47 node->flags,
48 &opdata->operator_objects[0]);
49 } else {
50 assert(values[input_id].layout == xnn_layout_type_nhwc);
51 assert(values[output_id].layout == xnn_layout_type_nhwc);
52 switch (node->compute_type) {
53 #ifndef XNN_NO_F16_OPERATORS
54 case xnn_compute_type_fp16:
55 status = xnn_create_depth_to_space_nhwc_x16(
56 output_channel_dim /* output channels */,
57 input_channel_dim /* input stride */,
58 output_channel_dim /* output stride */,
59 node->params.depth_to_space.block_size,
60 node->flags,
61 &opdata->operator_objects[0]);
62 break;
63 #endif // XNN_NO_F16_OPERATORS
64 case xnn_compute_type_fp32:
65 status = xnn_create_depth_to_space_nhwc_x32(
66 output_channel_dim /* output channels */,
67 input_channel_dim /* input stride */,
68 output_channel_dim /* output stride */,
69 node->params.depth_to_space.block_size,
70 node->flags,
71 &opdata->operator_objects[0]);
72 break;
73 #if !defined(XNN_NO_S8_OPERATORS) && !defined(XNN_NO_U8_OPERATORS)
74 case xnn_compute_type_qs8:
75 case xnn_compute_type_qu8:
76 status = xnn_create_depth_to_space_nhwc_x8(
77 output_channel_dim /* output channels */,
78 input_channel_dim /* input stride */,
79 output_channel_dim /* output stride */,
80 node->params.depth_to_space.block_size,
81 node->flags,
82 &opdata->operator_objects[0]);
83 break;
84 #endif // !defined(XNN_NO_S8_OPERATORS) && !defined(XNN_NO_U8_OPERATORS)
85 default:
86 XNN_UNREACHABLE;
87 }
88 }
89 if (status == xnn_status_success) {
90 opdata->batch_size = values[input_id].shape.dim[0];
91 opdata->input_height = values[input_id].shape.dim[1];
92 opdata->input_width = values[input_id].shape.dim[2];
93 opdata->output_height = values[output_id].shape.dim[1];
94 opdata->output_width = values[output_id].shape.dim[2];
95 opdata->inputs[0] = input_id;
96 opdata->outputs[0] = output_id;
97 }
98 return status;
99 }
100
setup_depth_to_space_operator(const struct xnn_operator_data * opdata,const struct xnn_blob * blobs,size_t num_blobs,pthreadpool_t threadpool)101 static enum xnn_status setup_depth_to_space_operator(
102 const struct xnn_operator_data* opdata,
103 const struct xnn_blob* blobs,
104 size_t num_blobs,
105 pthreadpool_t threadpool)
106 {
107 const uint32_t input_id = opdata->inputs[0];
108 assert(input_id != XNN_INVALID_VALUE_ID);
109 assert(input_id < num_blobs);
110
111 const uint32_t output_id = opdata->outputs[0];
112 assert(output_id != XNN_INVALID_VALUE_ID);
113 assert(output_id < num_blobs);
114
115 const struct xnn_blob* input_blob = blobs + input_id;
116 const void* input_data = input_blob->data;
117 assert(input_data != NULL);
118
119 const struct xnn_blob* output_blob = blobs + output_id;
120 void* output_data = output_blob->data;
121 assert(output_data != NULL);
122
123 switch (opdata->operator_objects[0]->type) {
124 case xnn_operator_type_depth_to_space_nchw2nhwc_x32:
125 return xnn_setup_depth_to_space_nchw2nhwc_x32(
126 opdata->operator_objects[0],
127 opdata->batch_size,
128 opdata->input_height,
129 opdata->input_width,
130 input_data,
131 output_data,
132 threadpool);
133 #ifndef XNN_NO_F16_OPERATORS
134 case xnn_operator_type_depth_to_space_nhwc_x16:
135 return xnn_setup_depth_to_space_nhwc_x16(
136 opdata->operator_objects[0],
137 opdata->batch_size,
138 opdata->input_height,
139 opdata->input_width,
140 input_data,
141 output_data,
142 threadpool);
143 #endif // XNN_NO_F16_OPERATORS
144 case xnn_operator_type_depth_to_space_nhwc_x32:
145 return xnn_setup_depth_to_space_nhwc_x32(
146 opdata->operator_objects[0],
147 opdata->batch_size,
148 opdata->input_height,
149 opdata->input_width,
150 input_data,
151 output_data,
152 threadpool);
153 #if !defined(XNN_NO_S8_OPERATORS) && !defined(XNN_NO_U8_OPERATORS)
154 case xnn_operator_type_depth_to_space_nhwc_x8:
155 return xnn_setup_depth_to_space_nhwc_x8(
156 opdata->operator_objects[0],
157 opdata->batch_size,
158 opdata->input_height,
159 opdata->input_width,
160 input_data,
161 output_data,
162 threadpool);
163 #endif // !defined(XNN_NO_S8_OPERATORS) && !defined(XNN_NO_U8_OPERATORS)
164 default:
165 XNN_UNREACHABLE;
166 }
167 }
168
xnn_define_depth_to_space(xnn_subgraph_t subgraph,uint32_t input_id,uint32_t output_id,uint32_t block_size,uint32_t flags)169 enum xnn_status xnn_define_depth_to_space(
170 xnn_subgraph_t subgraph,
171 uint32_t input_id,
172 uint32_t output_id,
173 uint32_t block_size,
174 uint32_t flags)
175 {
176 enum xnn_status status;
177 if ((status = xnn_subgraph_check_xnnpack_initialized(xnn_node_type_depth_to_space)) != xnn_status_success) {
178 return status;
179 }
180
181 if ((status = xnn_subgraph_check_input_node_id(xnn_node_type_depth_to_space, input_id, subgraph->num_values)) !=
182 xnn_status_success) {
183 return status;
184 }
185
186 const struct xnn_value* input_value = &subgraph->values[input_id];
187 status = xnn_subgraph_check_input_type_dense(xnn_node_type_depth_to_space, input_id, input_value);
188 if (status != xnn_status_success) {
189 return status;
190 }
191
192 switch (input_value->datatype) {
193 case xnn_datatype_fp32:
194 #ifndef XNN_NO_QS8_OPERATORS
195 case xnn_datatype_qint8:
196 #endif // !defined(XNN_NO_QS8_OPERATORS)
197 #ifndef XNN_NO_QU8_OPERATORS
198 case xnn_datatype_quint8:
199 #endif // !defined(XNN_NO_QU8_OPERATORS)
200 break;
201 default:
202 xnn_log_error(
203 "failed to define %s operator with input ID #%" PRIu32 ": unsupported Value datatype %s (%d)",
204 xnn_node_type_to_string(xnn_node_type_depth_to_space), input_id,
205 xnn_datatype_to_string(input_value->datatype), input_value->datatype);
206 return xnn_status_invalid_parameter;
207 }
208
209 status = xnn_subgraph_check_output_node_id(xnn_node_type_depth_to_space, output_id, subgraph->num_values);
210 if (status != xnn_status_success) {
211 return status;
212 }
213
214 const struct xnn_value* output_value = &subgraph->values[output_id];
215 status = xnn_subgraph_check_output_type_dense(xnn_node_type_depth_to_space, output_id, output_value);
216 if (status != xnn_status_success) {
217 return status;
218 }
219
220 enum xnn_compute_type compute_type = xnn_compute_type_invalid;
221 switch (output_value->datatype) {
222 case xnn_datatype_fp32:
223 compute_type = xnn_compute_type_fp32;
224 break;
225 #ifndef XNN_NO_QS8_OPERATORS
226 case xnn_datatype_qint8:
227 compute_type = xnn_compute_type_qs8;
228 break;
229 #endif // !defined(XNN_NO_QS8_OPERATORS)
230 #ifndef XNN_NO_QU8_OPERATORS
231 case xnn_datatype_quint8:
232 compute_type = xnn_compute_type_qu8;
233 break;
234 #endif // !defined(XNN_NO_QU8_OPERATORS)
235 default:
236 xnn_log_error(
237 "failed to define %s operator with output ID #%" PRIu32 ": unsupported Value datatype %s (%d)",
238 xnn_node_type_to_string(xnn_node_type_depth_to_space), output_id,
239 xnn_datatype_to_string(output_value->datatype), output_value->datatype);
240 return xnn_status_invalid_parameter;
241 }
242 assert(compute_type != xnn_compute_type_invalid);
243
244 status = xnn_subgraph_check_datatype_matches(
245 xnn_node_type_depth_to_space, input_id, input_value, output_id, output_value);
246 if (status != xnn_status_success) {
247 return status;
248 }
249
250 #if !defined(XNN_NO_QU8_OPERATORS) || !defined(XNN_NO_QS8_OPERATORS)
251 if (compute_type == xnn_datatype_qint8 || compute_type == xnn_datatype_quint8) {
252 if (input_value->quantization.zero_point != output_value->quantization.zero_point) {
253 xnn_log_error(
254 "failed to define %s operator with input ID #%" PRIu32 " and output ID #%" PRIu32
255 ": mismatching zero point quantization parameter across input (%"PRId32") and output (%"PRId32")",
256 xnn_node_type_to_string(xnn_node_type_depth_to_space), input_id, output_id,
257 input_value->quantization.zero_point, output_value->quantization.zero_point);
258 return xnn_status_invalid_parameter;
259 }
260 if (input_value->quantization.scale != output_value->quantization.scale) {
261 xnn_log_error(
262 "failed to define %s operator with input ID #%" PRIu32 " and output ID #%" PRIu32
263 ": mismatching zero point quantization parameter across input (%.7g) and output (%.7g)",
264 xnn_node_type_to_string(xnn_node_type_depth_to_space), input_id, output_id,
265 input_value->quantization.scale, output_value->quantization.scale);
266 return xnn_status_invalid_parameter;
267 }
268 }
269 #endif // !defined(XNN_NO_QU8_OPERATORS) || !defined(XNN_NO_QS8_OPERATORS)
270
271 if (block_size < 2) {
272 xnn_log_error(
273 "failed to define %s operator with block size #%" PRIu32 ": invalid block_size",
274 xnn_node_type_to_string(xnn_node_type_depth_to_space), block_size);
275 return xnn_status_invalid_parameter;
276 }
277
278 struct xnn_node* node = xnn_subgraph_new_node(subgraph);
279 if (node == NULL) {
280 return xnn_status_out_of_memory;
281 }
282
283 node->type = xnn_node_type_depth_to_space;
284 node->compute_type = compute_type;
285 node->num_inputs = 1;
286 node->inputs[0] = input_id;
287 node->num_outputs = 1;
288 node->outputs[0] = output_id;
289 node->params.depth_to_space.block_size = block_size;
290 node->flags = flags;
291
292 node->create = create_depth_to_space_operator;
293 node->setup = setup_depth_to_space_operator;
294
295 return xnn_status_success;
296 }
297