1 /*
2 * Copyright (C) 2017 The Android Open Source Project
3 *
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
7 *
8 * http://www.apache.org/licenses/LICENSE-2.0
9 *
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
15 */
16
17 // Contains all the entry points to the C Neural Networks API.
18 // We do basic validation of the operands and then call the class
19 // that implements the functionality.
20
21 #define LOG_TAG "NeuralNetworks"
22
23 #include "NeuralNetworks.h"
24
25 #include <ControlFlow.h>
26 #include <LegacyUtils.h>
27 #include <MetaModel.h>
28 #include <Tracing.h>
29 #include <nnapi/Types.h>
30
31 #include <algorithm>
32 #include <cstddef>
33 #include <memory>
34 #include <utility>
35 #include <vector>
36
37 #include "BurstBuilder.h"
38 #include "CompilationBuilder.h"
39 #include "Event.h"
40 #include "ExecutionBuilder.h"
41 #include "ExecutionCallback.h"
42 #include "Manager.h"
43 #include "Memory.h"
44 #include "ModelBuilder.h"
45 #include "NeuralNetworksExtensions.h"
46 #include "NeuralNetworksOEM.h"
47 #include "Telemetry.h"
48
49 #ifdef NN_COMPATIBILITY_LIBRARY_BUILD
50 #include "NeuralNetworksSupportLibraryImpl.h"
51 #endif // NN_COMPATIBILITY_LIBRARY_BUILD
52
53 using namespace android::nn;
54
55 // Make sure the constants defined in the header files have not changed values.
56 // IMPORTANT: When adding new values, update kNumberOfDataTypes or kNumberOfDataTypesOEM
57 // in Utils.h.
58 static_assert(ANEURALNETWORKS_FLOAT32 == 0, "ANEURALNETWORKS_FLOAT32 has changed");
59 static_assert(ANEURALNETWORKS_INT32 == 1, "ANEURALNETWORKS_INT32 has changed");
60 static_assert(ANEURALNETWORKS_UINT32 == 2, "ANEURALNETWORKS_UINT32 has changed");
61 static_assert(ANEURALNETWORKS_TENSOR_FLOAT32 == 3, "ANEURALNETWORKS_TENSOR_FLOAT32 has changed");
62 static_assert(ANEURALNETWORKS_TENSOR_INT32 == 4, "ANEURALNETWORKS_TENSOR_INT32 has changed");
63 static_assert(ANEURALNETWORKS_TENSOR_QUANT8_ASYMM == 5,
64 "ANEURALNETWORKS_TENSOR_QUANT8_ASYMM has changed");
65 static_assert(ANEURALNETWORKS_BOOL == 6, "ANEURALNETWORKS_BOOL has changed");
66 static_assert(ANEURALNETWORKS_TENSOR_QUANT16_SYMM == 7,
67 "ANEURALNETWORKS_TENSOR_QUANT16_SYMM has changed");
68 static_assert(ANEURALNETWORKS_TENSOR_FLOAT16 == 8, "ANEURALNETWORKS_TENSOR_FLOAT16 has changed");
69 static_assert(ANEURALNETWORKS_TENSOR_BOOL8 == 9, "ANEURALNETWORKS_TENSOR_BOOL8 has changed");
70 static_assert(ANEURALNETWORKS_FLOAT16 == 10, "ANEURALNETWORKS_FLOAT16 has changed");
71 static_assert(ANEURALNETWORKS_TENSOR_QUANT8_SYMM_PER_CHANNEL == 11,
72 "ANEURALNETWORKS_TENSOR_QUANT8_SYMM_PER_CHANNEL has changed");
73 static_assert(ANEURALNETWORKS_TENSOR_QUANT16_ASYMM == 12,
74 "ANEURALNETWORKS_TENSOR_QUANT16_ASYMM has changed");
75 static_assert(ANEURALNETWORKS_TENSOR_QUANT8_SYMM == 13,
76 "ANEURALNETWORKS_TENSOR_QUANT8_SYMM has changed");
77 static_assert(ANEURALNETWORKS_OEM_SCALAR == 10000, "ANEURALNETWORKS_OEM_SCALAR has changed");
78 static_assert(ANEURALNETWORKS_TENSOR_OEM_BYTE == 10001,
79 "ANEURALNETWORKS_TENSOR_OEM_BYTE has changed");
80
81 // IMPORTANT: When adding new values, update kNumberOfOperationTypes or
82 // kNumberOfOperationTypesOEMin Utils.h.
83 static_assert(ANEURALNETWORKS_ADD == 0, "ANEURALNETWORKS_ADD has changed");
84 static_assert(ANEURALNETWORKS_AVERAGE_POOL_2D == 1, "ANEURALNETWORKS_AVERAGE_POOL_2D has changed");
85 static_assert(ANEURALNETWORKS_CONCATENATION == 2, "ANEURALNETWORKS_CONCATENATION has changed");
86 static_assert(ANEURALNETWORKS_CONV_2D == 3, "ANEURALNETWORKS_CONV_2D has changed");
87 static_assert(ANEURALNETWORKS_DEPTHWISE_CONV_2D == 4,
88 "ANEURALNETWORKS_DEPTHWISE_CONV_2D has changed");
89 static_assert(ANEURALNETWORKS_DEPTH_TO_SPACE == 5, "ANEURALNETWORKS_DEPTH_TO_SPACE has changed");
90 static_assert(ANEURALNETWORKS_DEQUANTIZE == 6, "ANEURALNETWORKS_DEQUANTIZE has changed");
91 static_assert(ANEURALNETWORKS_EMBEDDING_LOOKUP == 7,
92 "ANEURALNETWORKS_EMBEDDING_LOOKUP has changed");
93 static_assert(ANEURALNETWORKS_FLOOR == 8, "ANEURALNETWORKS_FLOOR has changed");
94 static_assert(ANEURALNETWORKS_FULLY_CONNECTED == 9, "ANEURALNETWORKS_FULLY_CONNECTED has changed");
95 static_assert(ANEURALNETWORKS_HASHTABLE_LOOKUP == 10,
96 "ANEURALNETWORKS_HASHTABLE_LOOKUP has changed");
97 static_assert(ANEURALNETWORKS_L2_NORMALIZATION == 11,
98 "ANEURALNETWORKS_L2_NORMALIZATION has changed");
99 static_assert(ANEURALNETWORKS_L2_POOL_2D == 12, "ANEURALNETWORKS_L2_POOL has changed");
100 static_assert(ANEURALNETWORKS_LOCAL_RESPONSE_NORMALIZATION == 13,
101 "ANEURALNETWORKS_LOCAL_RESPONSE_NORMALIZATION has changed");
102 static_assert(ANEURALNETWORKS_LOGISTIC == 14, "ANEURALNETWORKS_LOGISTIC has changed");
103 static_assert(ANEURALNETWORKS_LSH_PROJECTION == 15, "ANEURALNETWORKS_LSH_PROJECTION has changed");
104 static_assert(ANEURALNETWORKS_LSTM == 16, "ANEURALNETWORKS_LSTM has changed");
105 static_assert(ANEURALNETWORKS_MAX_POOL_2D == 17, "ANEURALNETWORKS_MAX_POOL has changed");
106 static_assert(ANEURALNETWORKS_MUL == 18, "ANEURALNETWORKS_MUL has changed");
107 static_assert(ANEURALNETWORKS_RELU == 19, "ANEURALNETWORKS_RELU has changed");
108 static_assert(ANEURALNETWORKS_RELU1 == 20, "ANEURALNETWORKS_RELU1 has changed");
109 static_assert(ANEURALNETWORKS_RELU6 == 21, "ANEURALNETWORKS_RELU6 has changed");
110 static_assert(ANEURALNETWORKS_RESHAPE == 22, "ANEURALNETWORKS_RESHAPE has changed");
111 static_assert(ANEURALNETWORKS_RESIZE_BILINEAR == 23, "ANEURALNETWORKS_RESIZE_BILINEAR has changed");
112 static_assert(ANEURALNETWORKS_RNN == 24, "ANEURALNETWORKS_RNN has changed");
113 static_assert(ANEURALNETWORKS_SOFTMAX == 25, "ANEURALNETWORKS_SOFTMAX has changed");
114 static_assert(ANEURALNETWORKS_SPACE_TO_DEPTH == 26, "ANEURALNETWORKS_SPACE_TO_DEPTH has changed");
115 static_assert(ANEURALNETWORKS_SVDF == 27, "ANEURALNETWORKS_SVDF has changed");
116 static_assert(ANEURALNETWORKS_TANH == 28, "ANEURALNETWORKS_TANH has changed");
117
118 static_assert(ANEURALNETWORKS_BATCH_TO_SPACE_ND == 29,
119 "ANEURALNETWORKS_BATCH_TO_SPACE_ND has changed");
120 static_assert(ANEURALNETWORKS_DIV == 30, "ANEURALNETWORKS_DIV has changed");
121 static_assert(ANEURALNETWORKS_MEAN == 31, "ANEURALNETWORKS_MEAN has changed");
122 static_assert(ANEURALNETWORKS_PAD == 32, "ANEURALNETWORKS_PAD has changed");
123 static_assert(ANEURALNETWORKS_SPACE_TO_BATCH_ND == 33,
124 "ANEURALNETWORKS_SPACE_TO_BATCH_ND has changed");
125 static_assert(ANEURALNETWORKS_SQUEEZE == 34, "ANEURALNETWORKS_SQUEEZE has changed");
126 static_assert(ANEURALNETWORKS_STRIDED_SLICE == 35, "ANEURALNETWORKS_STRIDED_SLICE has changed");
127 static_assert(ANEURALNETWORKS_SUB == 36, "ANEURALNETWORKS_TANH has changed");
128 static_assert(ANEURALNETWORKS_TRANSPOSE == 37, "ANEURALNETWORKS_TRANSPOSE has changed");
129
130 static_assert(ANEURALNETWORKS_ABS == 38, "ANEURALNETWORKS_ABS has changed");
131 static_assert(ANEURALNETWORKS_ARGMAX == 39, "ANEURALNETWORKS_ARGMAX has changed");
132 static_assert(ANEURALNETWORKS_ARGMIN == 40, "ANEURALNETWORKS_ARGMIN has changed");
133 static_assert(ANEURALNETWORKS_AXIS_ALIGNED_BBOX_TRANSFORM == 41,
134 "ANEURALNETWORKS_AXIS_ALIGNED_BBOX_TRANSFORM has changed");
135 static_assert(ANEURALNETWORKS_BIDIRECTIONAL_SEQUENCE_LSTM == 42,
136 "ANEURALNETWORKS_BIDIRECTIONAL_SEQUENCE_LSTM has changed");
137 static_assert(ANEURALNETWORKS_BIDIRECTIONAL_SEQUENCE_RNN == 43,
138 "ANEURALNETWORKS_BIDIRECTIONAL_SEQUENCE_RNN has changed");
139 static_assert(ANEURALNETWORKS_BOX_WITH_NMS_LIMIT == 44,
140 "ANEURALNETWORKS_BOX_WITH_NMS_LIMIT has changed");
141 static_assert(ANEURALNETWORKS_CAST == 45, "ANEURALNETWORKS_CAST has changed");
142 static_assert(ANEURALNETWORKS_CHANNEL_SHUFFLE == 46, "ANEURALNETWORKS_CHANNEL_SHUFFLE has changed");
143 static_assert(ANEURALNETWORKS_DETECTION_POSTPROCESSING == 47,
144 "ANEURALNETWORKS_DETECTION_POSTPROCESSING has changed");
145 static_assert(ANEURALNETWORKS_EQUAL == 48, "ANEURALNETWORKS_EQUAL has changed");
146 static_assert(ANEURALNETWORKS_EXP == 49, "ANEURALNETWORKS_EXP has changed");
147 static_assert(ANEURALNETWORKS_EXPAND_DIMS == 50, "ANEURALNETWORKS_EXPAND_DIMS has changed");
148 static_assert(ANEURALNETWORKS_GATHER == 51, "ANEURALNETWORKS_GATHER has changed");
149 static_assert(ANEURALNETWORKS_GENERATE_PROPOSALS == 52,
150 "ANEURALNETWORKS_GENERATE_PROPOSALS has changed");
151 static_assert(ANEURALNETWORKS_GREATER == 53, "ANEURALNETWORKS_GREATER has changed");
152 static_assert(ANEURALNETWORKS_GREATER_EQUAL == 54, "ANEURALNETWORKS_GREATER_EQUAL has changed");
153 static_assert(ANEURALNETWORKS_GROUPED_CONV_2D == 55, "ANEURALNETWORKS_GROUPED_CONV_2D has changed");
154 static_assert(ANEURALNETWORKS_HEATMAP_MAX_KEYPOINT == 56,
155 "ANEURALNETWORKS_HEATMAP_MAX_KEYPOINT has changed");
156 static_assert(ANEURALNETWORKS_INSTANCE_NORMALIZATION == 57,
157 "ANEURALNETWORKS_INSTANCE_NORMALIZATION has changed");
158 static_assert(ANEURALNETWORKS_LESS == 58, "ANEURALNETWORKS_LESS has changed");
159 static_assert(ANEURALNETWORKS_LESS_EQUAL == 59, "ANEURALNETWORKS_LESS_EQUAL has changed");
160 static_assert(ANEURALNETWORKS_LOG == 60, "ANEURALNETWORKS_LOG has changed");
161 static_assert(ANEURALNETWORKS_LOGICAL_AND == 61, "ANEURALNETWORKS_LOGICAL_AND has changed");
162 static_assert(ANEURALNETWORKS_LOGICAL_NOT == 62, "ANEURALNETWORKS_LOGICAL_NOT has changed");
163 static_assert(ANEURALNETWORKS_LOGICAL_OR == 63, "ANEURALNETWORKS_LOGICAL_OR has changed");
164 static_assert(ANEURALNETWORKS_LOG_SOFTMAX == 64, "ANEURALNETWORKS_LOG_SOFTMAX has changed");
165 static_assert(ANEURALNETWORKS_MAXIMUM == 65, "ANEURALNETWORKS_MAXIMUM has changed");
166 static_assert(ANEURALNETWORKS_MINIMUM == 66, "ANEURALNETWORKS_MINIMUM has changed");
167 static_assert(ANEURALNETWORKS_NEG == 67, "ANEURALNETWORKS_NEG has changed");
168 static_assert(ANEURALNETWORKS_NOT_EQUAL == 68, "ANEURALNETWORKS_NOT_EQUAL has changed");
169 static_assert(ANEURALNETWORKS_PAD_V2 == 69, "ANEURALNETWORKS_PAD_V2 has changed");
170 static_assert(ANEURALNETWORKS_POW == 70, "ANEURALNETWORKS_POW has changed");
171 static_assert(ANEURALNETWORKS_PRELU == 71, "ANEURALNETWORKS_PRELU has changed");
172 static_assert(ANEURALNETWORKS_QUANTIZE == 72, "ANEURALNETWORKS_QUANTIZE has changed");
173 static_assert(ANEURALNETWORKS_QUANTIZED_16BIT_LSTM == 73,
174 "ANEURALNETWORKS_QUANTIZED_16BIT_LSTM has changed");
175 static_assert(ANEURALNETWORKS_RANDOM_MULTINOMIAL == 74,
176 "ANEURALNETWORKS_RANDOM_MULTINOMIAL has changed");
177 static_assert(ANEURALNETWORKS_REDUCE_ALL == 75, "ANEURALNETWORKS_REDUCE_ALL has changed");
178 static_assert(ANEURALNETWORKS_REDUCE_ANY == 76, "ANEURALNETWORKS_REDUCE_ANY has changed");
179 static_assert(ANEURALNETWORKS_REDUCE_MAX == 77, "ANEURALNETWORKS_REDUCE_MAX has changed");
180 static_assert(ANEURALNETWORKS_REDUCE_MIN == 78, "ANEURALNETWORKS_REDUCE_MIN has changed");
181 static_assert(ANEURALNETWORKS_REDUCE_PROD == 79, "ANEURALNETWORKS_REDUCE_PROD has changed");
182 static_assert(ANEURALNETWORKS_REDUCE_SUM == 80, "ANEURALNETWORKS_REDUCE_SUM has changed");
183 static_assert(ANEURALNETWORKS_ROI_ALIGN == 81, "ANEURALNETWORKS_ROI_ALIGN has changed");
184 static_assert(ANEURALNETWORKS_ROI_POOLING == 82, "ANEURALNETWORKS_ROI_POOLING has changed");
185 static_assert(ANEURALNETWORKS_RSQRT == 83, "ANEURALNETWORKS_RSQRT has changed");
186 static_assert(ANEURALNETWORKS_SELECT == 84, "ANEURALNETWORKS_SELECT has changed");
187 static_assert(ANEURALNETWORKS_SIN == 85, "ANEURALNETWORKS_SIN has changed");
188 static_assert(ANEURALNETWORKS_SLICE == 86, "ANEURALNETWORKS_SLICE has changed");
189 static_assert(ANEURALNETWORKS_SPLIT == 87, "ANEURALNETWORKS_SPLIT has changed");
190 static_assert(ANEURALNETWORKS_SQRT == 88, "ANEURALNETWORKS_SQRT has changed");
191 static_assert(ANEURALNETWORKS_TILE == 89, "ANEURALNETWORKS_TILE has changed");
192 static_assert(ANEURALNETWORKS_TOPK_V2 == 90, "ANEURALNETWORKS_TOPK_V2 has changed");
193 static_assert(ANEURALNETWORKS_TRANSPOSE_CONV_2D == 91,
194 "ANEURALNETWORKS_TRANSPOSE_CONV_2D has changed");
195 static_assert(ANEURALNETWORKS_UNIDIRECTIONAL_SEQUENCE_LSTM == 92,
196 "ANEURALNETWORKS_UNIDIRECTIONAL_SEQUENCE_LSTM has changed");
197 static_assert(ANEURALNETWORKS_UNIDIRECTIONAL_SEQUENCE_RNN == 93,
198 "ANEURALNETWORKS_UNIDIRECTIONAL_SEQUENCE_RNN has changed");
199 static_assert(ANEURALNETWORKS_RESIZE_NEAREST_NEIGHBOR == 94,
200 "ANEURALNETWORKS_RESIZE_NEAREST_NEIGHBOR has changed");
201 static_assert(ANEURALNETWORKS_QUANTIZED_LSTM == 95, "ANEURALNETWORKS_QUANTIZED_LSTM has changed");
202 static_assert(ANEURALNETWORKS_IF == 96, "ANEURALNETWORKS_IF has changed");
203 static_assert(ANEURALNETWORKS_WHILE == 97, "ANEURALNETWORKS_WHILE has changed");
204 static_assert(ANEURALNETWORKS_ELU == 98, "ANEURALNETWORKS_ELU has changed");
205 static_assert(ANEURALNETWORKS_HARD_SWISH == 99, "ANEURALNETWORKS_HARD_SWISH has changed");
206 static_assert(ANEURALNETWORKS_FILL == 100, "ANEURALNETWORKS_FILL has changed");
207 static_assert(ANEURALNETWORKS_RANK == 101, "ANEURALNETWORKS_RANK has changed");
208 static_assert(ANEURALNETWORKS_BATCH_MATMUL == 102, "ANEURALNETWORKS_BATCH_MATMUL has changed");
209 static_assert(ANEURALNETWORKS_PACK == 103, "ANEURALNETWORKS_PACK has changed");
210 static_assert(ANEURALNETWORKS_MIRROR_PAD == 104, "ANEURALNETWORKS_MIRROR_PAD has changed");
211 static_assert(ANEURALNETWORKS_REVERSE == 105, "ANEURALNETWORKS_REVERSE has changed");
212 static_assert(ANEURALNETWORKS_OEM_OPERATION == 10000, "ANEURALNETWORKS_OEM_OPERATION has changed");
213
214 static_assert(ANEURALNETWORKS_FUSED_NONE == 0, "ANEURALNETWORKS_FUSED_NONE has changed");
215 static_assert(ANEURALNETWORKS_FUSED_RELU == 1, "ANEURALNETWORKS_FUSED_RELU has changed");
216 static_assert(ANEURALNETWORKS_FUSED_RELU1 == 2, "ANEURALNETWORKS_FUSED_RELU1 has changed");
217 static_assert(ANEURALNETWORKS_FUSED_RELU6 == 3, "ANEURALNETWORKS_FUSED_RELU6 has changed");
218
219 static_assert(ANEURALNETWORKS_PREFER_LOW_POWER == 0,
220 "ANEURALNETWORKS_PREFER_LOW_POWER has changed");
221 static_assert(ANEURALNETWORKS_PREFER_FAST_SINGLE_ANSWER == 1,
222 "ANEURALNETWORKS_PREFER_FAST_SINGLE_ANSWER has changed");
223 static_assert(ANEURALNETWORKS_PREFER_SUSTAINED_SPEED == 2,
224 "ANEURALNETWORKS_PREFER_SUSTAINED_SPEED has changed");
225
226 static_assert(ANEURALNETWORKS_NO_ERROR == 0, "ANEURALNETWORKS_NO_ERROR has changed");
227 static_assert(ANEURALNETWORKS_OUT_OF_MEMORY == 1, "ANEURALNETWORKS_OUT_OF_MEMORY has changed");
228 static_assert(ANEURALNETWORKS_INCOMPLETE == 2, "ANEURALNETWORKS_INCOMPLETE has changed");
229 static_assert(ANEURALNETWORKS_UNEXPECTED_NULL == 3, "ANEURALNETWORKS_UNEXPECTED_NULL has changed");
230 static_assert(ANEURALNETWORKS_BAD_DATA == 4, "ANEURALNETWORKS_BAD_DATA has changed");
231 static_assert(ANEURALNETWORKS_OP_FAILED == 5, "ANEURALNETWORKS_OP_FAILED has changed");
232 static_assert(ANEURALNETWORKS_BAD_STATE == 6, "ANEURALNETWORKS_BAD_STATE has changed");
233 static_assert(ANEURALNETWORKS_UNMAPPABLE == 7, "ANEURALNETWORKS_UNMAPPABLE has changed");
234 static_assert(ANEURALNETWORKS_OUTPUT_INSUFFICIENT_SIZE == 8,
235 "ANEURALNETWORKS_OUTPUT_INSUFFICIENT_SIZE has changed");
236 static_assert(ANEURALNETWORKS_UNAVAILABLE_DEVICE == 9,
237 "ANEURALNETWORKS_UNAVAILABLE_DEVICE has changed");
238 static_assert(ANEURALNETWORKS_MISSED_DEADLINE_TRANSIENT == 10,
239 "ANEURALNETWORKS_MISSED_DEADLINE_TRANSIENT has changed");
240 static_assert(ANEURALNETWORKS_MISSED_DEADLINE_PERSISTENT == 11,
241 "ANEURALNETWORKS_MISSED_DEADLINE_PERSISTENT has changed");
242 static_assert(ANEURALNETWORKS_RESOURCE_EXHAUSTED_TRANSIENT == 12,
243 "ANEURALNETWORKS_RESOURCE_EXHAUSTED_TRANSIENT has changed");
244 static_assert(ANEURALNETWORKS_RESOURCE_EXHAUSTED_PERSISTENT == 13,
245 "ANEURALNETWORKS_RESOURCE_EXHAUSTED_PERSISTENT has changed");
246 static_assert(ANEURALNETWORKS_DEAD_OBJECT == 14, "ANEURALNETWORKS_DEAD_OBJECT has changed");
247
248 static_assert(ANEURALNETWORKS_MAX_SIZE_OF_IMMEDIATELY_COPIED_VALUES == 128,
249 "ANEURALNETWORKS_MAX_SIZE_OF_IMMEDIATELY_COPIED_VALUES has changed");
250
251 static_assert(ANEURALNETWORKS_DEVICE_UNKNOWN == 0, "ANEURALNETWORKS_DEVICE_UNKNOWN has changed");
252 static_assert(ANEURALNETWORKS_DEVICE_OTHER == 1, "ANEURALNETWORKS_DEVICE_OTHER has changed");
253 static_assert(ANEURALNETWORKS_DEVICE_CPU == 2, "ANEURALNETWORKS_DEVICE_CPU has changed");
254 static_assert(ANEURALNETWORKS_DEVICE_GPU == 3, "ANEURALNETWORKS_DEVICE_GPU has changed");
255 static_assert(ANEURALNETWORKS_DEVICE_ACCELERATOR == 4,
256 "ANEURALNETWORKS_DEVICE_ACCELERATOR has changed");
257
258 static_assert(ANEURALNETWORKS_DURATION_ON_HARDWARE == 0,
259 "ANEURALNETWORKS_DURATION_ON_HARDWARE has changed");
260 static_assert(ANEURALNETWORKS_DURATION_IN_DRIVER == 1,
261 "ANEURALNETWORKS_DURATION_IN_DRIVER has changed");
262 static_assert(ANEURALNETWORKS_FENCED_DURATION_ON_HARDWARE == 2,
263 "ANEURALNETWORKS_FENCED_DURATION_ON_HARDWARE has changed");
264 static_assert(ANEURALNETWORKS_FENCED_DURATION_IN_DRIVER == 3,
265 "ANEURALNETWORKS_FENCED_DURATION_IN_DRIVER has changed");
266
267 // Make sure that the constants are compatible with the values defined in
268 // hardware/interfaces/neuralnetworks/1.0/types.hal.
269 static_assert(static_cast<int32_t>(OperandType::OEM) == ANEURALNETWORKS_OEM_SCALAR,
270 "OEM != ANEURALNETWORKS_OEM");
271 static_assert(static_cast<int32_t>(OperandType::FLOAT32) == ANEURALNETWORKS_FLOAT32,
272 "FLOAT32 != ANEURALNETWORKS_FLOAT32");
273 static_assert(static_cast<int32_t>(OperandType::INT32) == ANEURALNETWORKS_INT32,
274 "INT32 != ANEURALNETWORKS_INT32");
275 static_assert(static_cast<int32_t>(OperandType::UINT32) == ANEURALNETWORKS_UINT32,
276 "UINT32 != ANEURALNETWORKS_UINT32");
277 static_assert(static_cast<int32_t>(OperandType::TENSOR_OEM_BYTE) == ANEURALNETWORKS_TENSOR_OEM_BYTE,
278 "TENSOR_OEM_BYTE != ANEURALNETWORKS_TENSOR_OEM_BYTE");
279 static_assert(static_cast<int32_t>(OperandType::TENSOR_FLOAT32) == ANEURALNETWORKS_TENSOR_FLOAT32,
280 "TENSOR_FLOAT32 != ANEURALNETWORKS_TENSOR_FLOAT32");
281 static_assert(static_cast<int32_t>(OperandType::TENSOR_QUANT8_ASYMM) ==
282 ANEURALNETWORKS_TENSOR_QUANT8_ASYMM,
283 "TENSOR_QUANT8_ASYMM != ANEURALNETWORKS_TENSOR_QUANT8_ASYMM");
284
285 static_assert(static_cast<int32_t>(OperationType::ADD) == ANEURALNETWORKS_ADD,
286 "OperationType::ADD != ANEURALNETWORKS_ADD");
287 static_assert(static_cast<int32_t>(OperationType::AVERAGE_POOL_2D) ==
288 ANEURALNETWORKS_AVERAGE_POOL_2D,
289 "OperationType::AVERAGE_POOL_2D != ANEURALNETWORKS_AVERAGE_POOL_2D");
290 static_assert(static_cast<int32_t>(OperationType::CONV_2D) == ANEURALNETWORKS_CONV_2D,
291 "OperationType::CONV_2D != ANEURALNETWORKS_CONV_2D");
292 static_assert(static_cast<int32_t>(OperationType::DEPTHWISE_CONV_2D) ==
293 ANEURALNETWORKS_DEPTHWISE_CONV_2D,
294 "OperationType::DEPTHWISE_CONV_2D != ANEURALNETWORKS_DEPTHWISE_CONV_2D");
295 static_assert(static_cast<int32_t>(OperationType::DEPTH_TO_SPACE) == ANEURALNETWORKS_DEPTH_TO_SPACE,
296 "OperationType::DEPTH_TO_SPACE != ANEURALNETWORKS_DEPTH_TO_SPACE");
297 static_assert(static_cast<int32_t>(OperationType::DEQUANTIZE) == ANEURALNETWORKS_DEQUANTIZE,
298 "OperationType::DEQUANTIZE != ANEURALNETWORKS_DEQUANTIZE");
299 static_assert(static_cast<int32_t>(OperationType::EMBEDDING_LOOKUP) ==
300 ANEURALNETWORKS_EMBEDDING_LOOKUP,
301 "OperationType::EMBEDDING_LOOKUP != ANEURALNETWORKS_EMBEDDING_LOOKUP");
302 static_assert(static_cast<int32_t>(OperationType::FLOOR) == ANEURALNETWORKS_FLOOR,
303 "OperationType::FLOOR != ANEURALNETWORKS_FLOOR");
304 static_assert(static_cast<int32_t>(OperationType::FULLY_CONNECTED) ==
305 ANEURALNETWORKS_FULLY_CONNECTED,
306 "OperationType::FULLY_CONNECTED != ANEURALNETWORKS_FULLY_CONNECTED");
307 static_assert(static_cast<int32_t>(OperationType::HASHTABLE_LOOKUP) ==
308 ANEURALNETWORKS_HASHTABLE_LOOKUP,
309 "OperationType::HASHTABLE_LOOKUP != ANEURALNETWORKS_HASHTABLE_LOOKUP");
310 static_assert(static_cast<int32_t>(OperationType::L2_NORMALIZATION) ==
311 ANEURALNETWORKS_L2_NORMALIZATION,
312 "OperationType::L2_NORMALIZATION != ANEURALNETWORKS_L2_NORMALIZATION");
313 static_assert(static_cast<int32_t>(OperationType::L2_POOL_2D) == ANEURALNETWORKS_L2_POOL_2D,
314 "OperationType::L2_POOL_2D != ANEURALNETWORKS_L2_POOL_2D");
315 static_assert(static_cast<int32_t>(OperationType::LOCAL_RESPONSE_NORMALIZATION) ==
316 ANEURALNETWORKS_LOCAL_RESPONSE_NORMALIZATION,
317 "OperationType::LOCAL_RESPONSE_NORMALIZATION != "
318 "ANEURALNETWORKS_LOCAL_RESPONSE_NORMALIZATION");
319 static_assert(static_cast<int32_t>(OperationType::LOGISTIC) == ANEURALNETWORKS_LOGISTIC,
320 "OperationType::LOGISTIC != ANEURALNETWORKS_LOGISTIC");
321 static_assert(static_cast<int32_t>(OperationType::LSH_PROJECTION) == ANEURALNETWORKS_LSH_PROJECTION,
322 "OperationType::LSH_PROJECTION != ANEURALNETWORKS_LSH_PROJECTION");
323 static_assert(static_cast<int32_t>(OperationType::LSTM) == ANEURALNETWORKS_LSTM,
324 "OperationType::LSTM != ANEURALNETWORKS_LSTM");
325 static_assert(static_cast<int32_t>(OperationType::MAX_POOL_2D) == ANEURALNETWORKS_MAX_POOL_2D,
326 "OperationType::MAX_POOL_2D != ANEURALNETWORKS_MAX_POOL_2D");
327 static_assert(static_cast<int32_t>(OperationType::MUL) == ANEURALNETWORKS_MUL,
328 "OperationType::MUL != ANEURALNETWORKS_MUL");
329 static_assert(static_cast<int32_t>(OperationType::RELU) == ANEURALNETWORKS_RELU,
330 "OperationType::RELU != ANEURALNETWORKS_RELU");
331 static_assert(static_cast<int32_t>(OperationType::RELU1) == ANEURALNETWORKS_RELU1,
332 "OperationType::RELU1 != ANEURALNETWORKS_RELU1");
333 static_assert(static_cast<int32_t>(OperationType::RELU6) == ANEURALNETWORKS_RELU6,
334 "OperationType::RELU6 != ANEURALNETWORKS_RELU6");
335 static_assert(static_cast<int32_t>(OperationType::RESHAPE) == ANEURALNETWORKS_RESHAPE,
336 "OperationType::RESHAPE != ANEURALNETWORKS_RESHAPE");
337 static_assert(static_cast<int32_t>(OperationType::RESIZE_BILINEAR) ==
338 ANEURALNETWORKS_RESIZE_BILINEAR,
339 "OperationType::RESIZE_BILINEAR != ANEURALNETWORKS_RESIZE_BILINEAR");
340 static_assert(static_cast<int32_t>(OperationType::RNN) == ANEURALNETWORKS_RNN,
341 "OperationType::RNN != ANEURALNETWORKS_RNN");
342 static_assert(static_cast<int32_t>(OperationType::SOFTMAX) == ANEURALNETWORKS_SOFTMAX,
343 "OperationType::SOFTMAX != ANEURALNETWORKS_SOFTMAX");
344 static_assert(static_cast<int32_t>(OperationType::SPACE_TO_DEPTH) == ANEURALNETWORKS_SPACE_TO_DEPTH,
345 "OperationType::SPACE_TO_DEPTH != ANEURALNETWORKS_SPACE_TO_DEPTH");
346 static_assert(static_cast<int32_t>(OperationType::SVDF) == ANEURALNETWORKS_SVDF,
347 "OperationType::SVDF != ANEURALNETWORKS_SVDF");
348 static_assert(static_cast<int32_t>(OperationType::TANH) == ANEURALNETWORKS_TANH,
349 "OperationType::TANH != ANEURALNETWORKS_TANH");
350
351 static_assert(static_cast<int32_t>(FusedActivationFunc::NONE) == ANEURALNETWORKS_FUSED_NONE,
352 "FusedActivationFunc::NONE != ANEURALNETWORKS_FUSED_NONE");
353 static_assert(static_cast<int32_t>(FusedActivationFunc::RELU) == ANEURALNETWORKS_FUSED_RELU,
354 "FusedActivationFunc::RELU != ANEURALNETWORKS_FUSED_RELU");
355 static_assert(static_cast<int32_t>(FusedActivationFunc::RELU1) == ANEURALNETWORKS_FUSED_RELU1,
356 "FusedActivationFunc::RELU1 != ANEURALNETWORKS_FUSED_RELU1");
357 static_assert(static_cast<int32_t>(FusedActivationFunc::RELU6) == ANEURALNETWORKS_FUSED_RELU6,
358 "FusedActivationFunc::RELU6 != ANEURALNETWORKS_FUSED_RELU6");
359
360 // Make sure that the constants are compatible with the values defined in
361 // hardware/interfaces/neuralnetworks/1.1/types.hal.
362 static_assert(static_cast<int32_t>(OperationType::BATCH_TO_SPACE_ND) ==
363 ANEURALNETWORKS_BATCH_TO_SPACE_ND,
364 "OperationType::BATCH_TO_SPACE_ND != ANEURALNETWORKS_BATCH_TO_SPACE_ND");
365 static_assert(static_cast<int32_t>(OperationType::DIV) == ANEURALNETWORKS_DIV,
366 "OperationType::DIV != ANEURALNETWORKS_DIV");
367 static_assert(static_cast<int32_t>(OperationType::MEAN) == ANEURALNETWORKS_MEAN,
368 "OperationType::MEAN != ANEURALNETWORKS_MEAN");
369 static_assert(static_cast<int32_t>(OperationType::PAD) == ANEURALNETWORKS_PAD,
370 "OperationType::PAD != ANEURALNETWORKS_PAD");
371 static_assert(static_cast<int32_t>(OperationType::SPACE_TO_BATCH_ND) ==
372 ANEURALNETWORKS_SPACE_TO_BATCH_ND,
373 "OperationType::SPACE_TO_BATCH_ND != ANEURALNETWORKS_SPACE_TO_BATCH_ND");
374 static_assert(static_cast<int32_t>(OperationType::SQUEEZE) == ANEURALNETWORKS_SQUEEZE,
375 "OperationType::SQUEEZE != ANEURALNETWORKS_SQUEEZE");
376 static_assert(static_cast<int32_t>(OperationType::STRIDED_SLICE) == ANEURALNETWORKS_STRIDED_SLICE,
377 "OperationType::STRIDED_SLICE != ANEURALNETWORKS_STRIDED_SLICE");
378 static_assert(static_cast<int32_t>(OperationType::SUB) == ANEURALNETWORKS_SUB,
379 "OperationType::SUB != ANEURALNETWORKS_SUB");
380 static_assert(static_cast<int32_t>(OperationType::TRANSPOSE) == ANEURALNETWORKS_TRANSPOSE,
381 "OperationType::TRANSPOSE != ANEURALNETWORKS_TRANSPOSE");
382
383 // Make sure that the constants are compatible with the values defined in
384 // hardware/interfaces/neuralnetworks/1.2/types.hal.
385 static_assert(static_cast<int32_t>(OperandType::BOOL) == ANEURALNETWORKS_BOOL,
386 "BOOL != ANEURALNETWORKS_BOOL");
387 static_assert(static_cast<int32_t>(OperandType::TENSOR_QUANT16_SYMM) ==
388 ANEURALNETWORKS_TENSOR_QUANT16_SYMM,
389 "TENSOR_QUANT16_SYMM != ANEURALNETWORKS_TENSOR_QUANT16_SYMM");
390 static_assert(static_cast<int32_t>(OperandType::TENSOR_FLOAT16) == ANEURALNETWORKS_TENSOR_FLOAT16,
391 "TENSOR_FLOAT16 != ANEURALNETWORKS_TENSOR_FLOAT16");
392 static_assert(static_cast<int32_t>(OperandType::TENSOR_BOOL8) == ANEURALNETWORKS_TENSOR_BOOL8,
393 "TENSOR_BOOL8 != ANEURALNETWORKS_TENSOR_BOOL8");
394 static_assert(static_cast<int32_t>(OperandType::FLOAT16) == ANEURALNETWORKS_FLOAT16,
395 "FLOAT16 != ANEURALNETWORKS_FLOAT16");
396 static_assert(static_cast<int32_t>(OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL) ==
397 ANEURALNETWORKS_TENSOR_QUANT8_SYMM_PER_CHANNEL,
398 "TENSOR_QUANT8_SYMM_PER_CHANNEL != ANEURALNETWORKS_TENSOR_QUANT8_SYMM_PER_CHANNEL");
399 static_assert(static_cast<int32_t>(OperandType::TENSOR_QUANT16_ASYMM) ==
400 ANEURALNETWORKS_TENSOR_QUANT16_ASYMM,
401 "TENSOR_QUANT16_ASYMM != ANEURALNETWORKS_TENSOR_QUANT16_ASYMM");
402 static_assert(static_cast<int32_t>(OperandType::TENSOR_QUANT8_SYMM) ==
403 ANEURALNETWORKS_TENSOR_QUANT8_SYMM,
404 "TENSOR_QUANT8_SYMM != ANEURALNETWORKS_TENSOR_QUANT8_SYMM");
405
406 static_assert(static_cast<int32_t>(OperationType::ABS) == ANEURALNETWORKS_ABS,
407 "OperationType::ABS != ANEURALNETWORKS_ABS");
408 static_assert(static_cast<int32_t>(OperationType::ARGMAX) == ANEURALNETWORKS_ARGMAX,
409 "OperationType::ARGMAX != ANEURALNETWORKS_ARGMAX");
410 static_assert(static_cast<int32_t>(OperationType::ARGMIN) == ANEURALNETWORKS_ARGMIN,
411 "OperationType::ARGMIN != ANEURALNETWORKS_ARGMIN");
412 static_assert(static_cast<int32_t>(OperationType::AXIS_ALIGNED_BBOX_TRANSFORM) ==
413 ANEURALNETWORKS_AXIS_ALIGNED_BBOX_TRANSFORM,
414 "OperationType::AXIS_ALIGNED_BBOX_TRANSFORM != "
415 "ANEURALNETWORKS_AXIS_ALIGNED_BBOX_TRANSFORM");
416 static_assert(static_cast<int32_t>(OperationType::BIDIRECTIONAL_SEQUENCE_LSTM) ==
417 ANEURALNETWORKS_BIDIRECTIONAL_SEQUENCE_LSTM,
418 "OperationType::BIDIRECTIONAL_SEQUENCE_LSTM != "
419 "ANEURALNETWORKS_BIDIRECTIONAL_SEQUENCE_LSTM");
420 static_assert(
421 static_cast<int32_t>(OperationType::BIDIRECTIONAL_SEQUENCE_RNN) ==
422 ANEURALNETWORKS_BIDIRECTIONAL_SEQUENCE_RNN,
423 "OperationType::BIDIRECTIONAL_SEQUENCE_RNN != ANEURALNETWORKS_BIDIRECTIONAL_SEQUENCE_RNN");
424 static_assert(static_cast<int32_t>(OperationType::BOX_WITH_NMS_LIMIT) ==
425 ANEURALNETWORKS_BOX_WITH_NMS_LIMIT,
426 "OperationType::BOX_WITH_NMS_LIMIT != ANEURALNETWORKS_BOX_WITH_NMS_LIMIT");
427 static_assert(static_cast<int32_t>(OperationType::CAST) == ANEURALNETWORKS_CAST,
428 "OperationType::CAST != ANEURALNETWORKS_CAST");
429 static_assert(static_cast<int32_t>(OperationType::CHANNEL_SHUFFLE) ==
430 ANEURALNETWORKS_CHANNEL_SHUFFLE,
431 "OperationType::CHANNEL_SHUFFLE != ANEURALNETWORKS_CHANNEL_SHUFFLE");
432 static_assert(
433 static_cast<int32_t>(OperationType::DETECTION_POSTPROCESSING) ==
434 ANEURALNETWORKS_DETECTION_POSTPROCESSING,
435 "OperationType::DETECTION_POSTPROCESSING != ANEURALNETWORKS_DETECTION_POSTPROCESSING");
436 static_assert(static_cast<int32_t>(OperationType::EQUAL) == ANEURALNETWORKS_EQUAL,
437 "OperationType::EQUAL != ANEURALNETWORKS_EQUAL");
438 static_assert(static_cast<int32_t>(OperationType::EXP) == ANEURALNETWORKS_EXP,
439 "OperationType::EXP != ANEURALNETWORKS_EXP");
440 static_assert(static_cast<int32_t>(OperationType::EXPAND_DIMS) == ANEURALNETWORKS_EXPAND_DIMS,
441 "OperationType::EXPAND_DIMS != ANEURALNETWORKS_EXPAND_DIMS");
442 static_assert(static_cast<int32_t>(OperationType::GATHER) == ANEURALNETWORKS_GATHER,
443 "OperationType::GATHER != ANEURALNETWORKS_GATHER");
444 static_assert(static_cast<int32_t>(OperationType::GENERATE_PROPOSALS) ==
445 ANEURALNETWORKS_GENERATE_PROPOSALS,
446 "OperationType::GENERATE_PROPOSALS != ANEURALNETWORKS_GENERATE_PROPOSALS");
447 static_assert(static_cast<int32_t>(OperationType::GREATER) == ANEURALNETWORKS_GREATER,
448 "OperationType::GREATER != ANEURALNETWORKS_GREATER");
449 static_assert(static_cast<int32_t>(OperationType::GREATER_EQUAL) == ANEURALNETWORKS_GREATER_EQUAL,
450 "OperationType::GREATER_EQUAL != ANEURALNETWORKS_GREATER_EQUAL");
451 static_assert(static_cast<int32_t>(OperationType::GROUPED_CONV_2D) ==
452 ANEURALNETWORKS_GROUPED_CONV_2D,
453 "OperationType::GROUPED_CONV_2D != ANEURALNETWORKS_GROUPED_CONV_2D");
454 static_assert(static_cast<int32_t>(OperationType::HEATMAP_MAX_KEYPOINT) ==
455 ANEURALNETWORKS_HEATMAP_MAX_KEYPOINT,
456 "OperationType::HEATMAP_MAX_KEYPOINT != ANEURALNETWORKS_HEATMAP_MAX_KEYPOINT");
457 static_assert(static_cast<int32_t>(OperationType::INSTANCE_NORMALIZATION) ==
458 ANEURALNETWORKS_INSTANCE_NORMALIZATION,
459 "OperationType::INSTANCE_NORMALIZATION != ANEURALNETWORKS_INSTANCE_NORMALIZATION");
460 static_assert(static_cast<int32_t>(OperationType::LESS) == ANEURALNETWORKS_LESS,
461 "OperationType::LESS != ANEURALNETWORKS_LESS");
462 static_assert(static_cast<int32_t>(OperationType::LESS_EQUAL) == ANEURALNETWORKS_LESS_EQUAL,
463 "OperationType::LESS_EQUAL != ANEURALNETWORKS_LESS_EQUAL");
464 static_assert(static_cast<int32_t>(OperationType::LOG) == ANEURALNETWORKS_LOG,
465 "OperationType::LOG != ANEURALNETWORKS_LOG");
466 static_assert(static_cast<int32_t>(OperationType::LOGICAL_AND) == ANEURALNETWORKS_LOGICAL_AND,
467 "OperationType::LOGICAL_AND != ANEURALNETWORKS_LOGICAL_AND");
468 static_assert(static_cast<int32_t>(OperationType::LOGICAL_NOT) == ANEURALNETWORKS_LOGICAL_NOT,
469 "OperationType::LOGICAL_NOT != ANEURALNETWORKS_LOGICAL_NOT");
470 static_assert(static_cast<int32_t>(OperationType::LOGICAL_OR) == ANEURALNETWORKS_LOGICAL_OR,
471 "OperationType::LOGICAL_OR != ANEURALNETWORKS_LOGICAL_OR");
472 static_assert(static_cast<int32_t>(OperationType::LOG_SOFTMAX) == ANEURALNETWORKS_LOG_SOFTMAX,
473 "OperationType::LOG_SOFTMAX != ANEURALNETWORKS_LOG_SOFTMAX");
474 static_assert(static_cast<int32_t>(OperationType::MAXIMUM) == ANEURALNETWORKS_MAXIMUM,
475 "OperationType::MAXIMUM != ANEURALNETWORKS_MAXIMUM");
476 static_assert(static_cast<int32_t>(OperationType::MINIMUM) == ANEURALNETWORKS_MINIMUM,
477 "OperationType::MINIMUM != ANEURALNETWORKS_MINIMUM");
478 static_assert(static_cast<int32_t>(OperationType::NEG) == ANEURALNETWORKS_NEG,
479 "OperationType::NEG != ANEURALNETWORKS_NEG");
480 static_assert(static_cast<int32_t>(OperationType::NOT_EQUAL) == ANEURALNETWORKS_NOT_EQUAL,
481 "OperationType::NOT_EQUAL != ANEURALNETWORKS_NOT_EQUAL");
482 static_assert(static_cast<int32_t>(OperationType::PAD_V2) == ANEURALNETWORKS_PAD_V2,
483 "OperationType::PAD_V2 != ANEURALNETWORKS_PAD_V2");
484 static_assert(static_cast<int32_t>(OperationType::POW) == ANEURALNETWORKS_POW,
485 "OperationType::POW != ANEURALNETWORKS_POW");
486 static_assert(static_cast<int32_t>(OperationType::PRELU) == ANEURALNETWORKS_PRELU,
487 "OperationType::PRELU != ANEURALNETWORKS_PRELU");
488 static_assert(static_cast<int32_t>(OperationType::QUANTIZE) == ANEURALNETWORKS_QUANTIZE,
489 "OperationType::QUANTIZE != ANEURALNETWORKS_QUANTIZE");
490 static_assert(static_cast<int32_t>(OperationType::QUANTIZED_16BIT_LSTM) ==
491 ANEURALNETWORKS_QUANTIZED_16BIT_LSTM,
492 "OperationType::QUANTIZED_16BIT_LSTM != ANEURALNETWORKS_QUANTIZED_16BIT_LSTM");
493 static_assert(static_cast<int32_t>(OperationType::RANDOM_MULTINOMIAL) ==
494 ANEURALNETWORKS_RANDOM_MULTINOMIAL,
495 "OperationType::RANDOM_MULTINOMIAL != ANEURALNETWORKS_RANDOM_MULTINOMIAL");
496 static_assert(static_cast<int32_t>(OperationType::REDUCE_ALL) == ANEURALNETWORKS_REDUCE_ALL,
497 "OperationType::REDUCE_ALL != ANEURALNETWORKS_REDUCE_ALL");
498 static_assert(static_cast<int32_t>(OperationType::REDUCE_ANY) == ANEURALNETWORKS_REDUCE_ANY,
499 "OperationType::REDUCE_ANY != ANEURALNETWORKS_REDUCE_ANY");
500 static_assert(static_cast<int32_t>(OperationType::REDUCE_MAX) == ANEURALNETWORKS_REDUCE_MAX,
501 "OperationType::REDUCE_MAX != ANEURALNETWORKS_REDUCE_MAX");
502 static_assert(static_cast<int32_t>(OperationType::REDUCE_MIN) == ANEURALNETWORKS_REDUCE_MIN,
503 "OperationType::REDUCE_MIN != ANEURALNETWORKS_REDUCE_MIN");
504 static_assert(static_cast<int32_t>(OperationType::REDUCE_PROD) == ANEURALNETWORKS_REDUCE_PROD,
505 "OperationType::REDUCE_PROD != ANEURALNETWORKS_REDUCE_PROD");
506 static_assert(static_cast<int32_t>(OperationType::REDUCE_SUM) == ANEURALNETWORKS_REDUCE_SUM,
507 "OperationType::REDUCE_SUM != ANEURALNETWORKS_REDUCE_SUM");
508 static_assert(static_cast<int32_t>(OperationType::ROI_ALIGN) == ANEURALNETWORKS_ROI_ALIGN,
509 "OperationType::ROI_ALIGN != ANEURALNETWORKS_ROI_ALIGN");
510 static_assert(static_cast<int32_t>(OperationType::ROI_POOLING) == ANEURALNETWORKS_ROI_POOLING,
511 "OperationType::ROI_POOLING != ANEURALNETWORKS_ROI_POOLING");
512 static_assert(static_cast<int32_t>(OperationType::RSQRT) == ANEURALNETWORKS_RSQRT,
513 "OperationType::RSQRT != ANEURALNETWORKS_RSQRT");
514 static_assert(static_cast<int32_t>(OperationType::SELECT) == ANEURALNETWORKS_SELECT,
515 "OperationType::SELECT != ANEURALNETWORKS_SELECT");
516 static_assert(static_cast<int32_t>(OperationType::SIN) == ANEURALNETWORKS_SIN,
517 "OperationType::SIN != ANEURALNETWORKS_SIN");
518 static_assert(static_cast<int32_t>(OperationType::SLICE) == ANEURALNETWORKS_SLICE,
519 "OperationType::SLICE != ANEURALNETWORKS_SLICE");
520 static_assert(static_cast<int32_t>(OperationType::SPLIT) == ANEURALNETWORKS_SPLIT,
521 "OperationType::SPLIT != ANEURALNETWORKS_SPLIT");
522 static_assert(static_cast<int32_t>(OperationType::SQRT) == ANEURALNETWORKS_SQRT,
523 "OperationType::SQRT != ANEURALNETWORKS_SQRT");
524 static_assert(static_cast<int32_t>(OperationType::TILE) == ANEURALNETWORKS_TILE,
525 "OperationType::TILE != ANEURALNETWORKS_TILE");
526 static_assert(static_cast<int32_t>(OperationType::TOPK_V2) == ANEURALNETWORKS_TOPK_V2,
527 "OperationType::TOPK_V2 != ANEURALNETWORKS_TOPK_V2");
528 static_assert(static_cast<int32_t>(OperationType::TRANSPOSE_CONV_2D) ==
529 ANEURALNETWORKS_TRANSPOSE_CONV_2D,
530 "OperationType::TRANSPOSE_CONV_2D != ANEURALNETWORKS_TRANSPOSE_CONV_2D");
531 static_assert(static_cast<int32_t>(OperationType::UNIDIRECTIONAL_SEQUENCE_LSTM) ==
532 ANEURALNETWORKS_UNIDIRECTIONAL_SEQUENCE_LSTM,
533 "OperationType::UNIDIRECTIONAL_SEQUENCE_LSTM != "
534 "ANEURALNETWORKS_UNIDIRECTIONAL_SEQUENCE_LSTM");
535 static_assert(static_cast<int32_t>(OperationType::UNIDIRECTIONAL_SEQUENCE_RNN) ==
536 ANEURALNETWORKS_UNIDIRECTIONAL_SEQUENCE_RNN,
537 "OperationType::UNIDIRECTIONAL_SEQUENCE_RNN != "
538 "ANEURALNETWORKS_UNIDIRECTIONAL_SEQUENCE_RNN");
539 static_assert(static_cast<int32_t>(OperationType::RESIZE_NEAREST_NEIGHBOR) ==
540 ANEURALNETWORKS_RESIZE_NEAREST_NEIGHBOR,
541 "OperationType::RESIZE_NEAREST_NEIGHBOR != ANEURALNETWORKS_RESIZE_NEAREST_NEIGHBOR");
542 static_assert(static_cast<int32_t>(OperationType::QUANTIZED_LSTM) == ANEURALNETWORKS_QUANTIZED_LSTM,
543 "OperationType::QUANTIZED_LSTM != ANEURALNETWORKS_QUANTIZED_LSTM");
544 static_assert(static_cast<int32_t>(OperationType::IF) == ANEURALNETWORKS_IF,
545 "OperationType::IF != ANEURALNETWORKS_IF");
546 static_assert(static_cast<int32_t>(OperationType::WHILE) == ANEURALNETWORKS_WHILE,
547 "OperationType::WHILE != ANEURALNETWORKS_WHILE");
548 static_assert(static_cast<int32_t>(OperationType::ELU) == ANEURALNETWORKS_ELU,
549 "OperationType::ELU != ANEURALNETWORKS_ELU");
550 static_assert(static_cast<int32_t>(OperationType::HARD_SWISH) == ANEURALNETWORKS_HARD_SWISH,
551 "OperationType::HARD_SWISH != ANEURALNETWORKS_HARD_SWISH");
552 static_assert(static_cast<int32_t>(OperationType::FILL) == ANEURALNETWORKS_FILL,
553 "OperationType::FILL != ANEURALNETWORKS_FILL");
554 static_assert(static_cast<int32_t>(OperationType::RANK) == ANEURALNETWORKS_RANK,
555 "OperationType::RANK != ANEURALNETWORKS_RANK");
556 static_assert(static_cast<int32_t>(OperationType::BATCH_MATMUL) == ANEURALNETWORKS_BATCH_MATMUL,
557 "OperationType::BATCH_MATMUL != ANEURALNETWORKS_BATCH_MATMUL");
558 static_assert(static_cast<int32_t>(OperationType::PACK) == ANEURALNETWORKS_PACK,
559 "OperationType::PACK != ANEURALNETWORKS_PACK");
560 static_assert(static_cast<int32_t>(OperationType::MIRROR_PAD) == ANEURALNETWORKS_MIRROR_PAD,
561 "OperationType::MIRROR_PAD != ANEURALNETWORKS_MIRROR_PAD");
562 static_assert(static_cast<int32_t>(OperationType::REVERSE) == ANEURALNETWORKS_REVERSE,
563 "OperationType::REVERSE != ANEURALNETWORKS_REVERSE");
564
565 static_assert(static_cast<int32_t>(DeviceType::OTHER) == ANEURALNETWORKS_DEVICE_OTHER,
566 "DeviceType::OTHER != ANEURALNETWORKS_DEVICE_OTHER");
567 static_assert(static_cast<int32_t>(DeviceType::CPU) == ANEURALNETWORKS_DEVICE_CPU,
568 "DeviceType::CPU != ANEURALNETWORKS_DEVICE_CPU");
569 static_assert(static_cast<int32_t>(DeviceType::GPU) == ANEURALNETWORKS_DEVICE_GPU,
570 "DeviceType::GPU != ANEURALNETWORKS_DEVICE_GPU");
571 static_assert(static_cast<int32_t>(DeviceType::ACCELERATOR) == ANEURALNETWORKS_DEVICE_ACCELERATOR,
572 "DeviceType::ACCELERATOR != ANEURALNETWORKS_DEVICE_ACCELERATOR");
573
574 // Make sure that the constants are compatible with the values defined in
575 // hardware/interfaces/neuralnetworks/1.3/types.hal.
576 static_assert(android::nn::convertToCanonicalPriority(ANEURALNETWORKS_PRIORITY_LOW) ==
577 Priority::LOW,
578 "ANEURALNETWORKS_PRIORITY_LOW does not map to Priority::LOW");
579 static_assert(android::nn::convertToCanonicalPriority(ANEURALNETWORKS_PRIORITY_MEDIUM) ==
580 Priority::MEDIUM,
581 "ANEURALNETWORKS_PRIORITY_MEDIUM does not map to Priority::MEDIUM");
582 static_assert(android::nn::convertToCanonicalPriority(ANEURALNETWORKS_PRIORITY_HIGH) ==
583 Priority::HIGH,
584 "ANEURALNETWORKS_PRIORITY_HIGH does not map to Priority::HIGH");
585
586 // Asserts for ANeuralNetworksOperandType memory layout
587 static_assert(offsetof(ANeuralNetworksOperandType, type) == 0,
588 "ANeuralNetworksOperandType.type offset != 0");
589 static_assert(offsetof(ANeuralNetworksOperandType, dimensionCount) == 4,
590 "ANeuralNetworksOperandType.dimensionCount offset != 4");
591 static_assert(offsetof(ANeuralNetworksOperandType, dimensions) == 8,
592 "ANeuralNetworksOperandType.dimensions offset != 8");
593 static_assert(offsetof(ANeuralNetworksOperandType, scale) == 8 + sizeof(void*),
594 "ANeuralNetworksOperandType.scale offset != 8 + sizeof(void*)");
595 static_assert(offsetof(ANeuralNetworksOperandType, zeroPoint) == 12 + sizeof(void*),
596 "ANeuralNetworksOperandType.zeroPoint offset != 12 + sizeof(void*)");
597 static_assert(sizeof(ANeuralNetworksOperandType) == 16 + sizeof(void*),
598 "ANeuralNetworksOperandType size changed");
599 static_assert(alignof(ANeuralNetworksOperandType) == alignof(void*),
600 "ANeuralNetworksOperandType alignment changed");
601
602 // Asserts for ANeuralNetworksSymmPerChannelQuantParams memory layout
603 static_assert(offsetof(ANeuralNetworksSymmPerChannelQuantParams, channelDim) == 0,
604 "ANeuralNetworksSymmPerChannelQuantParams.channelDim offset != 4 + sizeof(void*)");
605 static_assert(offsetof(ANeuralNetworksSymmPerChannelQuantParams, scaleCount) == 4,
606 "ANeuralNetworksSymmPerChannelQuantParams.scaleCount offset != 0");
607 static_assert(offsetof(ANeuralNetworksSymmPerChannelQuantParams, scales) == 8,
608 "ANeuralNetworksSymmPerChannelQuantParams.scales offset != 4");
609 static_assert(sizeof(ANeuralNetworksSymmPerChannelQuantParams) == 8 + sizeof(void*),
610 "ANeuralNetworksSymmPerChannelQuantParams size != 8 + sizeof(void*)");
611 static_assert(alignof(ANeuralNetworksSymmPerChannelQuantParams) == alignof(void*),
612 "ANeuralNetworksOperandType alignment changed");
613
614 // Asserts for compilation caching
615 static_assert(ANEURALNETWORKS_BYTE_SIZE_OF_CACHE_TOKEN == 32,
616 "ANEURALNETWORKS_BYTE_SIZE_OF_CACHE_TOKEN has changed");
617 static_assert(ANEURALNETWORKS_BYTE_SIZE_OF_CACHE_TOKEN == kByteSizeOfCacheToken,
618 "ANEURALNETWORKS_BYTE_SIZE_OF_CACHE_TOKEN != kByteSizeOfCacheToken");
619
620 // Asserts for compilation priority
621 static_assert(ANEURALNETWORKS_PRIORITY_LOW == 90, "ANEURALNETWORKS_PRIORITY_LOW has changed");
622 static_assert(ANEURALNETWORKS_PRIORITY_MEDIUM == 100,
623 "ANEURALNETWORKS_PRIORITY_MEDIUM has changed");
624 static_assert(ANEURALNETWORKS_PRIORITY_HIGH == 110, "ANEURALNETWORKS_PRIORITY_HIGH has changed");
625 static_assert(ANEURALNETWORKS_PRIORITY_DEFAULT == ANEURALNETWORKS_PRIORITY_MEDIUM,
626 "ANEURALNETWORKS_PRIORITY_DEFAULT has changed");
627
628 // Asserts for feature levels
629 static_assert(ANEURALNETWORKS_FEATURE_LEVEL_1 == 27, "ANEURALNETWORKS_FEATURE_LEVEL_1 has changed");
630 static_assert(ANEURALNETWORKS_FEATURE_LEVEL_2 == 28, "ANEURALNETWORKS_FEATURE_LEVEL_2 has changed");
631 static_assert(ANEURALNETWORKS_FEATURE_LEVEL_3 == 29, "ANEURALNETWORKS_FEATURE_LEVEL_3 has changed");
632 static_assert(ANEURALNETWORKS_FEATURE_LEVEL_4 == 30, "ANEURALNETWORKS_FEATURE_LEVEL_4 has changed");
633 static_assert(ANEURALNETWORKS_FEATURE_LEVEL_5 == 31, "ANEURALNETWORKS_FEATURE_LEVEL_5 has changed");
634 static_assert(ANEURALNETWORKS_FEATURE_LEVEL_6 == 1000006,
635 "ANEURALNETWORKS_FEATURE_LEVEL_6 has changed");
636 static_assert(ANEURALNETWORKS_FEATURE_LEVEL_7 == 1000007,
637 "ANEURALNETWORKS_FEATURE_LEVEL_7 has changed");
638 static_assert(ANEURALNETWORKS_FEATURE_LEVEL_8 == 1000008,
639 "ANEURALNETWORKS_FEATURE_LEVEL_8 has changed");
640
641 #ifdef NN_COMPATIBILITY_LIBRARY_BUILD
642
643 static_assert(sizeof(SL_ANeuralNetworksPerformanceInfo) == sizeof(float) * 2,
644 "SL_ANeuralNetworksPerformanceInfo size changed");
645 static_assert(sizeof(SL_ANeuralNetworksOperandPerformanceInfo) ==
646 sizeof(float) * 2 + sizeof(int32_t),
647 "SL_ANeuralNetworksOperandPerformanceInfo size changed");
648 static_assert(sizeof(SL_ANeuralNetworksExtensionOperandTypeInformation) == 8,
649 "SL_ANeuralNetworksExtensionOperandTypeInformation size changed");
650
651 static_assert(SL_ANEURALNETWORKS_CAPABILITIES_PERFORMANCE_RELAXED_SCALAR == 0,
652 "SL_ANEURALNETWORKS_CAPABILITIES_PERFORMANCE_RELAXED_SCALAR has changed");
653 static_assert(SL_ANEURALNETWORKS_CAPABILITIES_PERFORMANCE_RELAXED_TENSOR == 1,
654 "SL_ANEURALNETWORKS_CAPABILITIES_PERFORMANCE_RELAXED_TENSOR has changed");
655 static_assert(SL_ANEURALNETWORKS_CAPABILITIES_PERFORMANCE_IF == 2,
656 "SL_ANEURALNETWORKS_CAPABILITIES_PERFORMANCE_IF has changed");
657 static_assert(SL_ANEURALNETWORKS_CAPABILITIES_PERFORMANCE_WHILE == 3,
658 "SL_ANEURALNETWORKS_CAPABILITIES_PERFORMANCE_WHILE has changed");
659
660 #endif // NN_COMPATIBILITY_LIBRARY_BUILD
661
ANeuralNetworks_getDeviceCount(uint32_t * numDevices)662 int ANeuralNetworks_getDeviceCount(uint32_t* numDevices) {
663 if (numDevices == nullptr) {
664 LOG(ERROR) << "ANeuralNetworks_getDeviceCount passed a nullptr";
665 return ANEURALNETWORKS_UNEXPECTED_NULL;
666 }
667 *numDevices = DeviceManager::get()->getDrivers().size();
668 return ANEURALNETWORKS_NO_ERROR;
669 }
670
ANeuralNetworks_getDevice(uint32_t devIndex,ANeuralNetworksDevice ** device)671 int ANeuralNetworks_getDevice(uint32_t devIndex, ANeuralNetworksDevice** device) {
672 if (device == nullptr) {
673 LOG(ERROR) << "ANeuralNetworks_getDevice passed a nullptr";
674 return ANEURALNETWORKS_UNEXPECTED_NULL;
675 }
676 const std::vector<std::shared_ptr<Device>>& devices = DeviceManager::get()->getDrivers();
677 if (devIndex >= devices.size()) {
678 LOG(ERROR) << "ANeuralNetworks_getDevice passed an invalid device index";
679 return ANEURALNETWORKS_BAD_DATA;
680 }
681 *device = reinterpret_cast<ANeuralNetworksDevice*>(devices.at(devIndex).get());
682 return ANEURALNETWORKS_NO_ERROR;
683 }
684
ANeuralNetworksDevice_getName(const ANeuralNetworksDevice * device,const char ** name)685 int ANeuralNetworksDevice_getName(const ANeuralNetworksDevice* device, const char** name) {
686 if (device == nullptr || name == nullptr) {
687 LOG(ERROR) << "ANeuralNetworksDevice_getName passed a nullptr";
688 return ANEURALNETWORKS_UNEXPECTED_NULL;
689 }
690 const Device* d = reinterpret_cast<const Device*>(device);
691 *name = d->getName().c_str();
692 return ANEURALNETWORKS_NO_ERROR;
693 }
694
ANeuralNetworksDevice_getVersion(const ANeuralNetworksDevice * device,const char ** version)695 int ANeuralNetworksDevice_getVersion(const ANeuralNetworksDevice* device, const char** version) {
696 if (device == nullptr || version == nullptr) {
697 LOG(ERROR) << "ANeuralNetworksDevice_getVersion passed a nullptr";
698 return ANEURALNETWORKS_UNEXPECTED_NULL;
699 }
700 const Device* d = reinterpret_cast<const Device*>(device);
701 *version = d->getVersionString().c_str();
702 return ANEURALNETWORKS_NO_ERROR;
703 }
704
ANeuralNetworksDevice_getType(const ANeuralNetworksDevice * device,int32_t * type)705 int ANeuralNetworksDevice_getType(const ANeuralNetworksDevice* device, int32_t* type) {
706 if (device == nullptr || type == nullptr) {
707 LOG(ERROR) << "ANeuralNetworksDevice_getType passed a nullptr";
708 return ANEURALNETWORKS_UNEXPECTED_NULL;
709 }
710 const Device* d = reinterpret_cast<const Device*>(device);
711 int32_t dType = d->getType();
712 if (dType < 0) {
713 return ANEURALNETWORKS_OP_FAILED;
714 }
715 *type = d->getType();
716 return ANEURALNETWORKS_NO_ERROR;
717 }
718
ANeuralNetworksDevice_getFeatureLevel(const ANeuralNetworksDevice * device,int64_t * featureLevel)719 int ANeuralNetworksDevice_getFeatureLevel(const ANeuralNetworksDevice* device,
720 int64_t* featureLevel) {
721 if (device == nullptr || featureLevel == nullptr) {
722 LOG(ERROR) << "ANeuralNetworksDevice_getFeatureLevel passed a nullptr";
723 return ANEURALNETWORKS_UNEXPECTED_NULL;
724 }
725 Device* d = reinterpret_cast<Device*>(const_cast<ANeuralNetworksDevice*>(device));
726 int64_t dFeatureLevel = DeviceManager::versionToFeatureLevel(d->getFeatureLevel().level);
727 if (dFeatureLevel < 0) {
728 return ANEURALNETWORKS_BAD_STATE;
729 }
730 *featureLevel = std::min(ANeuralNetworks_getRuntimeFeatureLevel(), dFeatureLevel);
731 return ANEURALNETWORKS_NO_ERROR;
732 }
733
ANeuralNetworksDevice_wait(const ANeuralNetworksDevice * device)734 int ANeuralNetworksDevice_wait(const ANeuralNetworksDevice* device) {
735 if (device == nullptr) {
736 LOG(ERROR) << "ANeuralNetworksDevice_wait passed a nullptr";
737 return ANEURALNETWORKS_UNEXPECTED_NULL;
738 }
739 const Device* d = reinterpret_cast<const Device*>(device);
740 return d->wait();
741 }
742
ANeuralNetworksModel_getSupportedOperationsForDevices(const ANeuralNetworksModel * model,const ANeuralNetworksDevice * const * devices,uint32_t numDevices,bool * supportedOps)743 int ANeuralNetworksModel_getSupportedOperationsForDevices(
744 const ANeuralNetworksModel* model, const ANeuralNetworksDevice* const* devices,
745 uint32_t numDevices, bool* supportedOps) {
746 NNTRACE_RT(NNTRACE_PHASE_COMPILATION, "ANeuralNetworksModel_getSupportedOperationsForDevices");
747 if (model == nullptr || devices == nullptr || supportedOps == nullptr) {
748 LOG(ERROR) << "ANeuralNetworksModel_getSupportedOperationsForDevices passed a nullptr";
749 return ANEURALNETWORKS_UNEXPECTED_NULL;
750 }
751 if (numDevices == 0) {
752 LOG(ERROR) << "ANeuralNetworksModel_getSupportedOperationsForDevices passed an empty "
753 "device list";
754 return ANEURALNETWORKS_BAD_DATA;
755 }
756 const ModelBuilder* m = reinterpret_cast<const ModelBuilder*>(model);
757 if (!m->isFinished() || !m->isValid()) {
758 LOG(ERROR) << "ANeuralNetworksModel_getSupportedOperationsForDevices passed an unfinished "
759 "or invalid Model";
760 return ANEURALNETWORKS_BAD_STATE;
761 }
762
763 const Model canonicalModel = m->makeModel();
764 const std::vector<uint32_t>& opMap = m->getSortedOperationMapping();
765 // init the output array to false for all the operations.
766 std::fill(supportedOps, supportedOps + opMap.size(), false);
767 for (uint32_t i = 0; i < numDevices; i++) {
768 if (devices[i] == nullptr) {
769 LOG(ERROR) << "ANeuralNetworksModel_getSupportedOperationsForDevices passed a nullptr "
770 "as a device";
771 return ANEURALNETWORKS_UNEXPECTED_NULL;
772 }
773 for (uint32_t j = i + 1; j < numDevices; j++) {
774 if (devices[i] == devices[j]) {
775 LOG(ERROR) << "ANeuralNetworksModel_getSupportedOperationsForDevices passed "
776 "duplicate devices";
777 return ANEURALNETWORKS_BAD_DATA;
778 }
779 }
780
781 Device* d = reinterpret_cast<Device*>(const_cast<ANeuralNetworksDevice*>(devices[i]));
782 const MetaModel metaModel(canonicalModel, DeviceManager::get()->strictSlicing());
783 const std::vector<bool> supportsByDevice = d->getSupportedOperations(metaModel);
784 for (uint32_t j = 0; j < supportsByDevice.size(); j++) {
785 uint32_t originalIdx = opMap[j];
786 supportedOps[originalIdx] |= supportsByDevice[j];
787 }
788 }
789 return ANEURALNETWORKS_NO_ERROR;
790 }
791
ANeuralNetworksCompilation_createForDevices(ANeuralNetworksModel * model,const ANeuralNetworksDevice * const * devices,uint32_t numDevices,ANeuralNetworksCompilation ** compilation)792 int ANeuralNetworksCompilation_createForDevices(ANeuralNetworksModel* model,
793 const ANeuralNetworksDevice* const* devices,
794 uint32_t numDevices,
795 ANeuralNetworksCompilation** compilation) {
796 NNTRACE_RT(NNTRACE_PHASE_COMPILATION, "ANeuralNetworksCompilation_createForDevices");
797 if (model == nullptr || devices == nullptr || compilation == nullptr) {
798 LOG(ERROR) << "ANeuralNetworksCompilation_createForDevices passed a nullptr";
799 return ANEURALNETWORKS_UNEXPECTED_NULL;
800 }
801
802 if (numDevices == 0) {
803 LOG(ERROR) << "ANeuralNetworksCompilation_createForDevices passed an empty device list";
804 return ANEURALNETWORKS_BAD_DATA;
805 }
806
807 std::vector<std::shared_ptr<Device>> selectedDevices;
808 for (uint32_t i = 0; i < numDevices; i++) {
809 if (devices[i] == nullptr) {
810 LOG(ERROR)
811 << "ANeuralNetworksCompilation_createForDevices passed a nullptr as a device";
812 return ANEURALNETWORKS_UNEXPECTED_NULL;
813 }
814 for (uint32_t j = i + 1; j < numDevices; j++) {
815 if (devices[i] == devices[j]) {
816 LOG(ERROR)
817 << "ANeuralNetworksCompilation_createForDevices passed duplicate devices";
818 return ANEURALNETWORKS_BAD_DATA;
819 }
820 }
821 for (auto& device : DeviceManager::get()->getDrivers()) {
822 if (device.get() == reinterpret_cast<const Device*>(devices[i])) {
823 // Find a match
824 selectedDevices.push_back(device);
825 break;
826 }
827 }
828 }
829
830 if (selectedDevices.size() != numDevices) {
831 LOG(ERROR) << "ANeuralNetworksCompilation_createForDevices passed an invalid device set";
832 return ANEURALNETWORKS_BAD_DATA;
833 }
834 ModelBuilder* m = reinterpret_cast<ModelBuilder*>(model);
835 CompilationBuilder* c = nullptr;
836 // No CPU fallback when user specifies the list of devices manually.
837 int result = m->createCompilation(&c, selectedDevices, /* explicitDeviceList */ true);
838 *compilation = reinterpret_cast<ANeuralNetworksCompilation*>(c);
839 return result;
840 }
841
ANeuralNetworksExecution_compute(ANeuralNetworksExecution * execution)842 int ANeuralNetworksExecution_compute(ANeuralNetworksExecution* execution) {
843 NNTRACE_RT(NNTRACE_PHASE_EXECUTION, "ANeuralNetworksExecution_compute");
844 if (!execution) {
845 LOG(ERROR) << "ANeuralNetworksExecution_compute passed a nullptr";
846 return ANEURALNETWORKS_UNEXPECTED_NULL;
847 }
848 // TODO validate the rest
849
850 ExecutionBuilder* r = reinterpret_cast<ExecutionBuilder*>(execution);
851 return r->computeSynchronously();
852 }
853
ANeuralNetworksExecution_setMeasureTiming(ANeuralNetworksExecution * execution,bool measure)854 int ANeuralNetworksExecution_setMeasureTiming(ANeuralNetworksExecution* execution, bool measure) {
855 NNTRACE_RT(NNTRACE_PHASE_EXECUTION, "ANeuralNetworksExecution_setMeasureTiming");
856 if (!execution) {
857 LOG(ERROR) << "ANeuralNetworksExecution_setMeasureTiming passed a nullptr";
858 return ANEURALNETWORKS_UNEXPECTED_NULL;
859 }
860 ExecutionBuilder* r = reinterpret_cast<ExecutionBuilder*>(execution);
861 return r->setMeasureTiming(measure);
862 }
863
ANeuralNetworksExecution_getDuration(const ANeuralNetworksExecution * execution,int32_t durationCode,uint64_t * duration)864 int ANeuralNetworksExecution_getDuration(const ANeuralNetworksExecution* execution,
865 int32_t durationCode, uint64_t* duration) {
866 NNTRACE_RT(NNTRACE_PHASE_EXECUTION, "ANeuralNetworksExecution_getDuration");
867 if (!execution || !duration) {
868 LOG(ERROR) << "ANeuralNetworksExecution_getDuration passed a nullptr";
869 return ANEURALNETWORKS_UNEXPECTED_NULL;
870 }
871 switch (durationCode) {
872 case ANEURALNETWORKS_DURATION_ON_HARDWARE:
873 case ANEURALNETWORKS_DURATION_IN_DRIVER:
874 case ANEURALNETWORKS_FENCED_DURATION_ON_HARDWARE:
875 case ANEURALNETWORKS_FENCED_DURATION_IN_DRIVER:
876 break;
877 default:
878 LOG(ERROR) << "ANeuralNetworksExecution_getDuration passed a bad durationCode "
879 << durationCode;
880 return ANEURALNETWORKS_BAD_DATA;
881 }
882 const ExecutionBuilder* r = reinterpret_cast<const ExecutionBuilder*>(execution);
883 return r->getDuration(durationCode, duration);
884 }
885
ANeuralNetworksBurst_create(ANeuralNetworksCompilation * compilation,ANeuralNetworksBurst ** burst)886 int ANeuralNetworksBurst_create(ANeuralNetworksCompilation* compilation,
887 ANeuralNetworksBurst** burst) {
888 NNTRACE_RT(NNTRACE_PHASE_PREPARATION, "ANeuralNetworksBurst_create");
889 if (!compilation || !burst) {
890 LOG(ERROR) << "ANeuralNetworksBurst_create passed a nullptr";
891 return ANEURALNETWORKS_UNEXPECTED_NULL;
892 }
893
894 CompilationBuilder* c = reinterpret_cast<CompilationBuilder*>(compilation);
895 BurstBuilder* b = nullptr;
896 int result = c->createBurst(&b);
897 *burst = reinterpret_cast<ANeuralNetworksBurst*>(b);
898 return result;
899 }
900
ANeuralNetworksBurst_free(ANeuralNetworksBurst * burst)901 void ANeuralNetworksBurst_free(ANeuralNetworksBurst* burst) {
902 NNTRACE_RT(NNTRACE_PHASE_TERMINATION, "ANeuralNetworksBurst_free");
903 // No validation. Free of nullptr is valid.
904 BurstBuilder* b = reinterpret_cast<BurstBuilder*>(burst);
905 delete b;
906 }
907
ANeuralNetworksExecution_burstCompute(ANeuralNetworksExecution * execution,ANeuralNetworksBurst * burst)908 int ANeuralNetworksExecution_burstCompute(ANeuralNetworksExecution* execution,
909 ANeuralNetworksBurst* burst) {
910 NNTRACE_RT(NNTRACE_PHASE_EXECUTION, "ANeuralNetworksExecution_burstCompute");
911 if (!execution || !burst) {
912 LOG(ERROR) << "ANeuralNetworksExecution_burstCompute passed a nullptr";
913 return ANEURALNETWORKS_UNEXPECTED_NULL;
914 }
915
916 ExecutionBuilder* r = reinterpret_cast<ExecutionBuilder*>(execution);
917 BurstBuilder* b = reinterpret_cast<BurstBuilder*>(burst);
918
919 if (r->getCompilation() != b->getCompilation()) {
920 LOG(ERROR) << "ANeuralNetworksBurst and ANeuralNetworksExecution "
921 "used in ANeuralNetworksExecution_burstCompute must "
922 "originate from the same ANeuralNetworksCompilation";
923 return ANEURALNETWORKS_BAD_DATA;
924 }
925
926 const bool locked = b->tryLock();
927 if (!locked) {
928 LOG(ERROR) << "ANeuralNetworksBurst is already being used in another "
929 "call to ANeuralNetworksExecution_burstCompute";
930 return ANEURALNETWORKS_BAD_STATE;
931 }
932
933 const int n = r->burstCompute(b);
934 b->unlock();
935
936 return n;
937 }
938
ANeuralNetworksMemoryDesc_create(ANeuralNetworksMemoryDesc ** desc)939 int ANeuralNetworksMemoryDesc_create(ANeuralNetworksMemoryDesc** desc) {
940 NNTRACE_RT(NNTRACE_PHASE_COMPILATION, "ANeuralNetworksMemoryDesc_create");
941 if (desc != nullptr) {
942 *desc = nullptr;
943 }
944 if (!desc) {
945 LOG(ERROR) << "ANeuralNetworksMemoryDesc_create passed a nullptr";
946 return ANEURALNETWORKS_UNEXPECTED_NULL;
947 }
948 auto mb = std::make_unique<MemoryBuilder>();
949 *desc = reinterpret_cast<ANeuralNetworksMemoryDesc*>(mb.release());
950 return ANEURALNETWORKS_NO_ERROR;
951 }
952
ANeuralNetworksMemoryDesc_free(ANeuralNetworksMemoryDesc * desc)953 void ANeuralNetworksMemoryDesc_free(ANeuralNetworksMemoryDesc* desc) {
954 NNTRACE_RT(NNTRACE_PHASE_TERMINATION, "ANeuralNetworksMemoryDesc_free");
955 // No validation. Free of nullptr is valid.
956 MemoryBuilder* mb = reinterpret_cast<MemoryBuilder*>(desc);
957 delete mb;
958 }
959
ANeuralNetworksMemoryDesc_addInputRole(ANeuralNetworksMemoryDesc * desc,const ANeuralNetworksCompilation * compilation,uint32_t index,float frequency)960 int ANeuralNetworksMemoryDesc_addInputRole(ANeuralNetworksMemoryDesc* desc,
961 const ANeuralNetworksCompilation* compilation,
962 uint32_t index, float frequency) {
963 NNTRACE_RT(NNTRACE_PHASE_COMPILATION, "ANeuralNetworksMemoryDesc_addInputRole");
964 if (!desc || !compilation) {
965 LOG(ERROR) << "ANeuralNetworksMemoryDesc_addInputRole passed a nullptr";
966 return ANEURALNETWORKS_UNEXPECTED_NULL;
967 }
968 MemoryBuilder* mb = reinterpret_cast<MemoryBuilder*>(desc);
969 const CompilationBuilder* c = reinterpret_cast<const CompilationBuilder*>(compilation);
970 return mb->addRole(*c, IOType::INPUT, index, frequency);
971 }
972
ANeuralNetworksMemoryDesc_addOutputRole(ANeuralNetworksMemoryDesc * desc,const ANeuralNetworksCompilation * compilation,uint32_t index,float frequency)973 int ANeuralNetworksMemoryDesc_addOutputRole(ANeuralNetworksMemoryDesc* desc,
974 const ANeuralNetworksCompilation* compilation,
975 uint32_t index, float frequency) {
976 NNTRACE_RT(NNTRACE_PHASE_COMPILATION, "ANeuralNetworksMemoryDesc_addOutputRole");
977 if (!desc || !compilation) {
978 LOG(ERROR) << "ANeuralNetworksMemoryDesc_addOutputRole passed a nullptr";
979 return ANEURALNETWORKS_UNEXPECTED_NULL;
980 }
981 MemoryBuilder* mb = reinterpret_cast<MemoryBuilder*>(desc);
982 const CompilationBuilder* c = reinterpret_cast<const CompilationBuilder*>(compilation);
983 return mb->addRole(*c, IOType::OUTPUT, index, frequency);
984 }
985
ANeuralNetworksMemoryDesc_setDimensions(ANeuralNetworksMemoryDesc * desc,uint32_t rank,const uint32_t * dimensions)986 int ANeuralNetworksMemoryDesc_setDimensions(ANeuralNetworksMemoryDesc* desc, uint32_t rank,
987 const uint32_t* dimensions) {
988 NNTRACE_RT(NNTRACE_PHASE_COMPILATION, "ANeuralNetworksMemoryDesc_setDimensions");
989 if (!desc || (!dimensions && rank > 0)) {
990 LOG(ERROR) << "ANeuralNetworksMemoryDesc_setDimensions passed a nullptr";
991 return ANEURALNETWORKS_UNEXPECTED_NULL;
992 }
993 const std::vector<uint32_t> dims(dimensions, dimensions + rank);
994 MemoryBuilder* mb = reinterpret_cast<MemoryBuilder*>(desc);
995 return mb->setDimensions(dims);
996 }
997
ANeuralNetworksMemoryDesc_finish(ANeuralNetworksMemoryDesc * desc)998 int ANeuralNetworksMemoryDesc_finish(ANeuralNetworksMemoryDesc* desc) {
999 NNTRACE_RT(NNTRACE_PHASE_COMPILATION, "ANeuralNetworksMemoryDesc_finish");
1000 if (!desc) {
1001 LOG(ERROR) << "ANeuralNetworksMemoryDesc_finish passed a nullptr";
1002 return ANEURALNETWORKS_UNEXPECTED_NULL;
1003 }
1004 MemoryBuilder* mb = reinterpret_cast<MemoryBuilder*>(desc);
1005 return mb->finish();
1006 }
1007
ANeuralNetworksMemory_createFromDesc(const ANeuralNetworksMemoryDesc * desc,ANeuralNetworksMemory ** memory)1008 int ANeuralNetworksMemory_createFromDesc(const ANeuralNetworksMemoryDesc* desc,
1009 ANeuralNetworksMemory** memory) {
1010 NNTRACE_RT(NNTRACE_PHASE_COMPILATION, "ANeuralNetworksMemory_createFromDesc");
1011 if (memory != nullptr) {
1012 *memory = nullptr;
1013 }
1014 if (!desc || !memory) {
1015 LOG(ERROR) << "ANeuralNetworksMemory_createFromDesc passed a nullptr";
1016 return ANEURALNETWORKS_UNEXPECTED_NULL;
1017 }
1018 const MemoryBuilder* mb = reinterpret_cast<const MemoryBuilder*>(desc);
1019 auto [n, m] = mb->allocate();
1020 if (n != ANEURALNETWORKS_NO_ERROR) {
1021 return n;
1022 }
1023 *memory = reinterpret_cast<ANeuralNetworksMemory*>(m.release());
1024 return ANEURALNETWORKS_NO_ERROR;
1025 }
1026
ANeuralNetworksMemory_copy(const ANeuralNetworksMemory * src,const ANeuralNetworksMemory * dst)1027 int ANeuralNetworksMemory_copy(const ANeuralNetworksMemory* src, const ANeuralNetworksMemory* dst) {
1028 NNTRACE_RT(NNTRACE_PHASE_EXECUTION, "ANeuralNetworksMemory_copy");
1029 if (!src || !dst) {
1030 LOG(ERROR) << "ANeuralNetworksMemory_copy passed a nullptr";
1031 return ANEURALNETWORKS_UNEXPECTED_NULL;
1032 }
1033 const RuntimeMemory* s = reinterpret_cast<const RuntimeMemory*>(src);
1034 const RuntimeMemory* d = reinterpret_cast<const RuntimeMemory*>(dst);
1035 return RuntimeMemory::copy(*s, *d);
1036 }
1037
ANeuralNetworksMemory_createFromFd(size_t size,int prot,int fd,size_t offset,ANeuralNetworksMemory ** memory)1038 int ANeuralNetworksMemory_createFromFd(size_t size, int prot, int fd, size_t offset,
1039 ANeuralNetworksMemory** memory) {
1040 NNTRACE_RT(NNTRACE_PHASE_PREPARATION, "ANeuralNetworksMemory_createFromFd");
1041 if (memory != nullptr) {
1042 *memory = nullptr;
1043 }
1044 if (!memory) {
1045 LOG(ERROR) << "ANeuralNetworksMemory_createFromFd passed a nullptr";
1046 return ANEURALNETWORKS_UNEXPECTED_NULL;
1047 }
1048 int n = ANEURALNETWORKS_NO_ERROR;
1049 std::unique_ptr<MemoryFd> m;
1050 std::tie(n, m) = MemoryFd::create(size, prot, fd, offset);
1051 if (n != ANEURALNETWORKS_NO_ERROR) {
1052 return n;
1053 }
1054 *memory = reinterpret_cast<ANeuralNetworksMemory*>(m.release());
1055 return ANEURALNETWORKS_NO_ERROR;
1056 }
1057
ANeuralNetworksMemory_createFromAHardwareBuffer(const AHardwareBuffer * ahwb,ANeuralNetworksMemory ** memory)1058 int ANeuralNetworksMemory_createFromAHardwareBuffer(const AHardwareBuffer* ahwb,
1059 ANeuralNetworksMemory** memory) {
1060 NNTRACE_RT(NNTRACE_PHASE_PREPARATION, "ANeuralNetworksMemory_createFromAHardwareBuffer");
1061 if (memory != nullptr) {
1062 *memory = nullptr;
1063 }
1064 if (!ahwb || !memory) {
1065 LOG(ERROR) << "ANeuralNetworksMemory_createFromAHardwareBuffer passed a nullptr";
1066 return ANEURALNETWORKS_UNEXPECTED_NULL;
1067 }
1068 int n = ANEURALNETWORKS_NO_ERROR;
1069 std::unique_ptr<MemoryAHWB> m;
1070 std::tie(n, m) = MemoryAHWB::create(*ahwb);
1071 if (n != ANEURALNETWORKS_NO_ERROR) {
1072 return n;
1073 }
1074 *memory = reinterpret_cast<ANeuralNetworksMemory*>(m.release());
1075 return ANEURALNETWORKS_NO_ERROR;
1076 }
1077
ANeuralNetworksMemory_free(ANeuralNetworksMemory * memory)1078 void ANeuralNetworksMemory_free(ANeuralNetworksMemory* memory) {
1079 NNTRACE_RT(NNTRACE_PHASE_TERMINATION, "ANeuralNetworksMemory_free");
1080 // No validation. Free of nullptr is valid.
1081 RuntimeMemory* m = reinterpret_cast<RuntimeMemory*>(memory);
1082 delete m;
1083 }
1084
ANeuralNetworksModel_create(ANeuralNetworksModel ** model)1085 int ANeuralNetworksModel_create(ANeuralNetworksModel** model) {
1086 NNTRACE_RT(NNTRACE_PHASE_PREPARATION, "ANeuralNetworksModel_create");
1087 initVLogMask();
1088 if (!model) {
1089 LOG(ERROR) << "ANeuralNetworksModel_create passed a nullptr";
1090 return ANEURALNETWORKS_UNEXPECTED_NULL;
1091 }
1092 ModelBuilder* m = new (std::nothrow) ModelBuilder();
1093 if (m == nullptr) {
1094 *model = nullptr;
1095 return ANEURALNETWORKS_OUT_OF_MEMORY;
1096 }
1097 *model = reinterpret_cast<ANeuralNetworksModel*>(m);
1098 return ANEURALNETWORKS_NO_ERROR;
1099 }
1100
ANeuralNetworksModel_free(ANeuralNetworksModel * model)1101 void ANeuralNetworksModel_free(ANeuralNetworksModel* model) {
1102 NNTRACE_RT(NNTRACE_PHASE_TERMINATION, "ANeuralNetworksModel_free");
1103 // No validation. Free of nullptr is valid.
1104 ModelBuilder* m = reinterpret_cast<ModelBuilder*>(model);
1105 delete m;
1106 }
1107
ANeuralNetworksModel_finish(ANeuralNetworksModel * model)1108 int ANeuralNetworksModel_finish(ANeuralNetworksModel* model) {
1109 NNTRACE_RT(NNTRACE_PHASE_PREPARATION, "ANeuralNetworksModel_finish");
1110 if (!model) {
1111 LOG(ERROR) << "ANeuralNetworksModel_finish passed a nullptr";
1112 return ANEURALNETWORKS_UNEXPECTED_NULL;
1113 }
1114 ModelBuilder* m = reinterpret_cast<ModelBuilder*>(model);
1115 return m->finish();
1116 }
1117
ANeuralNetworksModel_addOperand(ANeuralNetworksModel * model,const ANeuralNetworksOperandType * type)1118 int ANeuralNetworksModel_addOperand(ANeuralNetworksModel* model,
1119 const ANeuralNetworksOperandType* type) {
1120 NNTRACE_RT(NNTRACE_PHASE_PREPARATION, "ANeuralNetworksModel_addOperand");
1121 if (!model || !type) {
1122 LOG(ERROR) << "ANeuralNetworksModel_addOperand passed a nullptr";
1123 return ANEURALNETWORKS_UNEXPECTED_NULL;
1124 }
1125 ModelBuilder* m = reinterpret_cast<ModelBuilder*>(model);
1126 return m->addOperand(*type);
1127 }
1128
ANeuralNetworksModel_setOperandValue(ANeuralNetworksModel * model,int32_t index,const void * buffer,size_t length)1129 int ANeuralNetworksModel_setOperandValue(ANeuralNetworksModel* model, int32_t index,
1130 const void* buffer, size_t length) {
1131 NNTRACE_RT(NNTRACE_PHASE_PREPARATION, "ANeuralNetworksModel_setOperandValue");
1132 if (!model || (!buffer && length != 0)) {
1133 LOG(ERROR) << "ANeuralNetworksModel_setOperandValue passed a nullptr";
1134 return ANEURALNETWORKS_UNEXPECTED_NULL;
1135 }
1136 ModelBuilder* m = reinterpret_cast<ModelBuilder*>(model);
1137 return m->setOperandValue(index, buffer, length);
1138 }
1139
ANeuralNetworksModel_setOperandValueFromMemory(ANeuralNetworksModel * model,int32_t index,const ANeuralNetworksMemory * memory,size_t offset,size_t length)1140 int ANeuralNetworksModel_setOperandValueFromMemory(ANeuralNetworksModel* model, int32_t index,
1141 const ANeuralNetworksMemory* memory,
1142 size_t offset, size_t length) {
1143 NNTRACE_RT(NNTRACE_PHASE_PREPARATION, "ANeuralNetworksModel_setOperandValueFromMemory");
1144 if (!model || !memory) {
1145 LOG(ERROR) << "ANeuralNetworksModel_setOperandValue passed a nullptr";
1146 return ANEURALNETWORKS_UNEXPECTED_NULL;
1147 }
1148 const RuntimeMemory* mem = reinterpret_cast<const RuntimeMemory*>(memory);
1149 ModelBuilder* m = reinterpret_cast<ModelBuilder*>(model);
1150 return m->setOperandValueFromMemory(index, mem, offset, length);
1151 }
1152
ANeuralNetworksModel_setOperandValueFromModel(ANeuralNetworksModel * model,int32_t index,const ANeuralNetworksModel * value)1153 int ANeuralNetworksModel_setOperandValueFromModel(ANeuralNetworksModel* model, int32_t index,
1154 const ANeuralNetworksModel* value) {
1155 NNTRACE_RT(NNTRACE_PHASE_PREPARATION, "ANeuralNetworksModel_setOperandValueFromModel");
1156 if (!model || !value) {
1157 LOG(ERROR) << "ANeuralNetworksModel_setOperandValueFromModel passed a nullptr";
1158 return ANEURALNETWORKS_UNEXPECTED_NULL;
1159 }
1160 const ModelBuilder* val = reinterpret_cast<const ModelBuilder*>(value);
1161 ModelBuilder* m = reinterpret_cast<ModelBuilder*>(model);
1162 return m->setOperandValueFromModel(index, val);
1163 }
1164
ANeuralNetworksModel_addOperation(ANeuralNetworksModel * model,ANeuralNetworksOperationType type,uint32_t inputCount,const uint32_t * inputs,uint32_t outputCount,const uint32_t * outputs)1165 int ANeuralNetworksModel_addOperation(ANeuralNetworksModel* model,
1166 ANeuralNetworksOperationType type, uint32_t inputCount,
1167 const uint32_t* inputs, uint32_t outputCount,
1168 const uint32_t* outputs) {
1169 NNTRACE_RT(NNTRACE_PHASE_PREPARATION, "ANeuralNetworksModel_addOperation");
1170 if (!model || !inputs || !outputs) {
1171 LOG(ERROR) << "ANeuralNetworksModel_addOperation passed a nullptr";
1172 return ANEURALNETWORKS_UNEXPECTED_NULL;
1173 }
1174 ModelBuilder* m = reinterpret_cast<ModelBuilder*>(model);
1175 return m->addOperation(type, inputCount, inputs, outputCount, outputs);
1176 }
1177
ANeuralNetworksModel_setOperandSymmPerChannelQuantParams(ANeuralNetworksModel * model,int32_t index,const ANeuralNetworksSymmPerChannelQuantParams * channelQuant)1178 int ANeuralNetworksModel_setOperandSymmPerChannelQuantParams(
1179 ANeuralNetworksModel* model, int32_t index,
1180 const ANeuralNetworksSymmPerChannelQuantParams* channelQuant) {
1181 NNTRACE_RT(NNTRACE_PHASE_PREPARATION,
1182 "ANeuralNetworksModel_setOperandSymmPerChannelQuantParams");
1183 if (!model || !channelQuant) {
1184 LOG(ERROR) << "ANeuralNetworksModel_setOperandSymmPerChannelQuantParams passed a nullptr";
1185 return ANEURALNETWORKS_UNEXPECTED_NULL;
1186 }
1187 ModelBuilder* m = reinterpret_cast<ModelBuilder*>(model);
1188 return m->setOperandSymmPerChannelQuantParams(index, *channelQuant);
1189 }
1190
ANeuralNetworksModel_identifyInputsAndOutputs(ANeuralNetworksModel * model,uint32_t inputCount,const uint32_t * inputs,uint32_t outputCount,const uint32_t * outputs)1191 int ANeuralNetworksModel_identifyInputsAndOutputs(ANeuralNetworksModel* model, uint32_t inputCount,
1192 const uint32_t* inputs, uint32_t outputCount,
1193 const uint32_t* outputs) {
1194 NNTRACE_RT(NNTRACE_PHASE_PREPARATION, "ANeuralNetworksModel_identifyInputsAndOutputs");
1195 if (!model || !inputs || !outputs) {
1196 LOG(ERROR) << ("ANeuralNetworksModel_identifyInputsAndOutputs passed a nullptr");
1197 return ANEURALNETWORKS_UNEXPECTED_NULL;
1198 }
1199 ModelBuilder* m = reinterpret_cast<ModelBuilder*>(model);
1200 return m->identifyInputsAndOutputs(inputCount, inputs, outputCount, outputs);
1201 }
1202
ANeuralNetworksModel_relaxComputationFloat32toFloat16(ANeuralNetworksModel * model,bool allow)1203 int ANeuralNetworksModel_relaxComputationFloat32toFloat16(ANeuralNetworksModel* model, bool allow) {
1204 NNTRACE_RT(NNTRACE_PHASE_PREPARATION, "ANeuralNetworksModel_relaxComputationFloat32toFloat16");
1205 if (!model) {
1206 LOG(ERROR) << ("ANeuralNetworksModel_relaxComputationFloat32toFloat16 passed a nullptr");
1207 return ANEURALNETWORKS_UNEXPECTED_NULL;
1208 }
1209 ModelBuilder* m = reinterpret_cast<ModelBuilder*>(model);
1210 return m->relaxComputationFloat32toFloat16(allow);
1211 }
1212
ANeuralNetworksCompilation_create(ANeuralNetworksModel * model,ANeuralNetworksCompilation ** compilation)1213 int ANeuralNetworksCompilation_create(ANeuralNetworksModel* model,
1214 ANeuralNetworksCompilation** compilation) {
1215 NNTRACE_RT(NNTRACE_PHASE_COMPILATION, "ANeuralNetworksCompilation_create");
1216 if (!model || !compilation) {
1217 LOG(ERROR) << "ANeuralNetworksCompilation_create passed a nullptr";
1218 return ANEURALNETWORKS_UNEXPECTED_NULL;
1219 }
1220
1221 ModelBuilder* m = reinterpret_cast<ModelBuilder*>(model);
1222 CompilationBuilder* c = nullptr;
1223
1224 const auto& drivers = DeviceManager::get()->getDrivers();
1225
1226 int result = m->createCompilation(&c, drivers);
1227 *compilation = reinterpret_cast<ANeuralNetworksCompilation*>(c);
1228 return result;
1229 }
1230
ANeuralNetworksCompilation_free(ANeuralNetworksCompilation * compilation)1231 void ANeuralNetworksCompilation_free(ANeuralNetworksCompilation* compilation) {
1232 NNTRACE_RT(NNTRACE_PHASE_TERMINATION, "ANeuralNetworksCompilation_free");
1233 // No validation. Free of nullptr is valid.
1234 CompilationBuilder* c = reinterpret_cast<CompilationBuilder*>(compilation);
1235 delete c;
1236 }
1237
ANeuralNetworksCompilation_setPreference(ANeuralNetworksCompilation * compilation,int32_t preference)1238 int ANeuralNetworksCompilation_setPreference(ANeuralNetworksCompilation* compilation,
1239 int32_t preference) {
1240 NNTRACE_RT(NNTRACE_PHASE_COMPILATION, "ANeuralNetworksCompilation_setPreference");
1241 if (!compilation) {
1242 LOG(ERROR) << "ANeuralNetworksCompilation_setPreference passed a nullptr";
1243 return ANEURALNETWORKS_UNEXPECTED_NULL;
1244 }
1245 CompilationBuilder* c = reinterpret_cast<CompilationBuilder*>(compilation);
1246 return c->setPreference(preference);
1247 }
1248
ANeuralNetworksCompilation_setCaching(ANeuralNetworksCompilation * compilation,const char * cacheDir,const uint8_t * token)1249 int ANeuralNetworksCompilation_setCaching(ANeuralNetworksCompilation* compilation,
1250 const char* cacheDir, const uint8_t* token) {
1251 NNTRACE_RT(NNTRACE_PHASE_COMPILATION, "ANeuralNetworksCompilation_setCaching");
1252 if (!compilation || !cacheDir || !token) {
1253 LOG(ERROR) << "ANeuralNetworksCompilation_setCaching passed a nullptr";
1254 return ANEURALNETWORKS_UNEXPECTED_NULL;
1255 }
1256 CompilationBuilder* c = reinterpret_cast<CompilationBuilder*>(compilation);
1257 return c->setCaching(cacheDir, token);
1258 }
1259
ANeuralNetworksCompilation_finish(ANeuralNetworksCompilation * compilation)1260 int ANeuralNetworksCompilation_finish(ANeuralNetworksCompilation* compilation) {
1261 NNTRACE_RT(NNTRACE_PHASE_COMPILATION, "ANeuralNetworksCompilation_finish");
1262 if (!compilation) {
1263 LOG(ERROR) << "ANeuralNetworksCompilation_finish passed a nullptr";
1264 return ANEURALNETWORKS_UNEXPECTED_NULL;
1265 }
1266 CompilationBuilder* c = reinterpret_cast<CompilationBuilder*>(compilation);
1267 int result = c->finish();
1268 telemetry::onCompilationFinish(c, result);
1269
1270 return result;
1271 }
1272
ANeuralNetworksCompilation_setPriority(ANeuralNetworksCompilation * compilation,int priority)1273 int ANeuralNetworksCompilation_setPriority(ANeuralNetworksCompilation* compilation, int priority) {
1274 NNTRACE_RT(NNTRACE_PHASE_COMPILATION, "ANeuralNetworksCompilation_setPriority");
1275 if (!compilation) {
1276 LOG(ERROR) << "ANeuralNetworksCompilation_setPriority passed a nullptr";
1277 return ANEURALNETWORKS_UNEXPECTED_NULL;
1278 }
1279 CompilationBuilder* c = reinterpret_cast<CompilationBuilder*>(compilation);
1280 return c->setPriority(priority);
1281 }
1282
ANeuralNetworksCompilation_setTimeout(ANeuralNetworksCompilation * compilation,uint64_t duration)1283 int ANeuralNetworksCompilation_setTimeout(ANeuralNetworksCompilation* compilation,
1284 uint64_t duration) {
1285 NNTRACE_RT(NNTRACE_PHASE_COMPILATION, "ANeuralNetworksCompilation_setTimeout");
1286 if (!compilation) {
1287 LOG(ERROR) << "ANeuralNetworksCompilation_setTimeout passed a nullptr";
1288 return ANEURALNETWORKS_UNEXPECTED_NULL;
1289 }
1290 CompilationBuilder* c = reinterpret_cast<CompilationBuilder*>(compilation);
1291 return c->setTimeoutDuration(duration);
1292 }
1293
ANeuralNetworksExecution_create(ANeuralNetworksCompilation * compilation,ANeuralNetworksExecution ** execution)1294 int ANeuralNetworksExecution_create(ANeuralNetworksCompilation* compilation,
1295 ANeuralNetworksExecution** execution) {
1296 NNTRACE_RT(NNTRACE_PHASE_EXECUTION, "ANeuralNetworksExecution_create");
1297 if (!compilation || !execution) {
1298 LOG(ERROR) << "ANeuralNetworksExecution_create passed a nullptr";
1299 return ANEURALNETWORKS_UNEXPECTED_NULL;
1300 }
1301
1302 CompilationBuilder* c = reinterpret_cast<CompilationBuilder*>(compilation);
1303 ExecutionBuilder* r = nullptr;
1304 int result = c->createExecution(&r);
1305 *execution = reinterpret_cast<ANeuralNetworksExecution*>(r);
1306 return result;
1307 }
1308
ANeuralNetworksExecution_free(ANeuralNetworksExecution * execution)1309 void ANeuralNetworksExecution_free(ANeuralNetworksExecution* execution) {
1310 NNTRACE_RT(NNTRACE_PHASE_EXECUTION, "ANeuralNetworksExecution_free");
1311 // Free of nullptr is valid.
1312 ExecutionBuilder* r = reinterpret_cast<ExecutionBuilder*>(execution);
1313 if (r && r->inFlight()) {
1314 LOG(ERROR) << "ANeuralNetworksExecution_free passed an in-flight ANeuralNetworksExecution"
1315 << " and is therefore ignored";
1316 return;
1317 }
1318 delete r;
1319 }
1320
ANeuralNetworksExecution_getOutputOperandRank(ANeuralNetworksExecution * execution,int32_t index,uint32_t * rank)1321 int ANeuralNetworksExecution_getOutputOperandRank(ANeuralNetworksExecution* execution,
1322 int32_t index, uint32_t* rank) {
1323 NNTRACE_RT(NNTRACE_PHASE_EXECUTION, "ANeuralNetworksExecution_getOutputOperandRank");
1324 if (!execution || !rank) {
1325 LOG(ERROR) << "ANeuralNetworksExecution_getOutputOperandRank passed a nullptr";
1326 return ANEURALNETWORKS_UNEXPECTED_NULL;
1327 }
1328 ExecutionBuilder* r = reinterpret_cast<ExecutionBuilder*>(execution);
1329 return r->getOutputOperandRank(index, rank);
1330 }
1331
ANeuralNetworksExecution_getOutputOperandDimensions(ANeuralNetworksExecution * execution,int32_t index,uint32_t * dimensions)1332 int ANeuralNetworksExecution_getOutputOperandDimensions(ANeuralNetworksExecution* execution,
1333 int32_t index, uint32_t* dimensions) {
1334 NNTRACE_RT(NNTRACE_PHASE_EXECUTION, "ANeuralNetworksExecution_getOutputOperandDimensions");
1335 if (!execution || !dimensions) {
1336 LOG(ERROR) << "ANeuralNetworksExecution_getOutputOperandDimensions passed a nullptr";
1337 return ANEURALNETWORKS_UNEXPECTED_NULL;
1338 }
1339 ExecutionBuilder* r = reinterpret_cast<ExecutionBuilder*>(execution);
1340 return r->getOutputOperandDimensions(index, dimensions);
1341 }
1342
ANeuralNetworksExecution_setInput(ANeuralNetworksExecution * execution,int32_t index,const ANeuralNetworksOperandType * type,const void * buffer,size_t length)1343 int ANeuralNetworksExecution_setInput(ANeuralNetworksExecution* execution, int32_t index,
1344 const ANeuralNetworksOperandType* type, const void* buffer,
1345 size_t length) {
1346 NNTRACE_RT(NNTRACE_PHASE_INPUTS_AND_OUTPUTS, "ANeuralNetworksExecution_setInput");
1347 if (!execution || (!buffer && length != 0)) {
1348 LOG(ERROR) << "ANeuralNetworksExecution_setInput passed a nullptr";
1349 return ANEURALNETWORKS_UNEXPECTED_NULL;
1350 }
1351 ExecutionBuilder* r = reinterpret_cast<ExecutionBuilder*>(execution);
1352 return r->setInput(index, type, buffer, length);
1353 }
1354
ANeuralNetworksExecution_setInputFromMemory(ANeuralNetworksExecution * execution,int32_t index,const ANeuralNetworksOperandType * type,const ANeuralNetworksMemory * memory,size_t offset,size_t length)1355 int ANeuralNetworksExecution_setInputFromMemory(ANeuralNetworksExecution* execution, int32_t index,
1356 const ANeuralNetworksOperandType* type,
1357 const ANeuralNetworksMemory* memory, size_t offset,
1358 size_t length) {
1359 NNTRACE_RT(NNTRACE_PHASE_INPUTS_AND_OUTPUTS, "ANeuralNetworksExecution_setInputFromMemory");
1360 if (!execution || !memory) {
1361 LOG(ERROR) << "ANeuralNetworksExecution_setInputFromMemory passed a nullptr";
1362 return ANEURALNETWORKS_UNEXPECTED_NULL;
1363 }
1364
1365 const RuntimeMemory* m = reinterpret_cast<const RuntimeMemory*>(memory);
1366 ExecutionBuilder* r = reinterpret_cast<ExecutionBuilder*>(execution);
1367 return r->setInputFromMemory(index, type, m, offset, length);
1368 }
1369
ANeuralNetworksExecution_setOutput(ANeuralNetworksExecution * execution,int32_t index,const ANeuralNetworksOperandType * type,void * buffer,size_t length)1370 int ANeuralNetworksExecution_setOutput(ANeuralNetworksExecution* execution, int32_t index,
1371 const ANeuralNetworksOperandType* type, void* buffer,
1372 size_t length) {
1373 NNTRACE_RT(NNTRACE_PHASE_INPUTS_AND_OUTPUTS, "ANeuralNetworksExecution_setOutput");
1374 if (!execution || (!buffer && length != 0)) {
1375 LOG(ERROR) << "ANeuralNetworksExecution_setOutput passed a nullptr";
1376 return ANEURALNETWORKS_UNEXPECTED_NULL;
1377 }
1378 ExecutionBuilder* r = reinterpret_cast<ExecutionBuilder*>(execution);
1379 return r->setOutput(index, type, buffer, length);
1380 }
1381
ANeuralNetworksExecution_setOutputFromMemory(ANeuralNetworksExecution * execution,int32_t index,const ANeuralNetworksOperandType * type,const ANeuralNetworksMemory * memory,size_t offset,size_t length)1382 int ANeuralNetworksExecution_setOutputFromMemory(ANeuralNetworksExecution* execution, int32_t index,
1383 const ANeuralNetworksOperandType* type,
1384 const ANeuralNetworksMemory* memory, size_t offset,
1385 size_t length) {
1386 NNTRACE_RT(NNTRACE_PHASE_INPUTS_AND_OUTPUTS, "ANeuralNetworksExecution_setOutputFromMemory");
1387 if (!execution || !memory) {
1388 LOG(ERROR) << "ANeuralNetworksExecution_setOutputFromMemory passed a nullptr";
1389 return ANEURALNETWORKS_UNEXPECTED_NULL;
1390 }
1391
1392 ExecutionBuilder* r = reinterpret_cast<ExecutionBuilder*>(execution);
1393 const RuntimeMemory* m = reinterpret_cast<const RuntimeMemory*>(memory);
1394 return r->setOutputFromMemory(index, type, m, offset, length);
1395 }
1396
ANeuralNetworksExecution_startCompute(ANeuralNetworksExecution * execution,ANeuralNetworksEvent ** event)1397 int ANeuralNetworksExecution_startCompute(ANeuralNetworksExecution* execution,
1398 ANeuralNetworksEvent** event) {
1399 NNTRACE_RT(NNTRACE_PHASE_EXECUTION, "ANeuralNetworksExecution_startCompute");
1400 if (!event) {
1401 LOG(ERROR) << "ANeuralNetworksExecution_startCompute passed a nullptr";
1402 return ANEURALNETWORKS_UNEXPECTED_NULL;
1403 }
1404 if (!execution) {
1405 LOG(ERROR) << "ANeuralNetworksExecution_startCompute passed a nullptr";
1406 *event = nullptr;
1407 return ANEURALNETWORKS_UNEXPECTED_NULL;
1408 }
1409 // TODO validate the rest
1410
1411 ExecutionBuilder* r = reinterpret_cast<ExecutionBuilder*>(execution);
1412
1413 std::shared_ptr<ExecutionCallback> callback;
1414 *event = nullptr;
1415
1416 int n = r->computeAsynchronously(&callback);
1417 if (n != ANEURALNETWORKS_NO_ERROR) {
1418 return n;
1419 }
1420 auto e = std::make_unique<CallbackEvent>(std::move(callback));
1421 *event = reinterpret_cast<ANeuralNetworksEvent*>(e.release());
1422 return ANEURALNETWORKS_NO_ERROR;
1423 }
1424
ANeuralNetworksExecution_setTimeout(ANeuralNetworksExecution * execution,uint64_t duration)1425 int ANeuralNetworksExecution_setTimeout(ANeuralNetworksExecution* execution, uint64_t duration) {
1426 NNTRACE_RT(NNTRACE_PHASE_EXECUTION, "ANeuralNetworksExecution_setTimeout");
1427 if (!execution) {
1428 LOG(ERROR) << "ANeuralNetworksExecution_setTimeout passed a nullptr";
1429 return ANEURALNETWORKS_UNEXPECTED_NULL;
1430 }
1431
1432 ExecutionBuilder* r = reinterpret_cast<ExecutionBuilder*>(execution);
1433 return r->setTimeoutDuration(duration);
1434 }
1435
ANeuralNetworksEvent_wait(ANeuralNetworksEvent * event)1436 int ANeuralNetworksEvent_wait(ANeuralNetworksEvent* event) {
1437 NNTRACE_RT(NNTRACE_PHASE_EXECUTION, "ANeuralNetworksEvent_wait");
1438 if (event == nullptr) {
1439 LOG(ERROR) << "ANeuralNetworksEvent_wait passed a nullptr";
1440 return ANEURALNETWORKS_UNEXPECTED_NULL;
1441 }
1442
1443 IEvent* e = reinterpret_cast<IEvent*>(event);
1444 return convertErrorStatusToResultCode(e->wait());
1445 }
1446
ANeuralNetworksEvent_free(ANeuralNetworksEvent * event)1447 void ANeuralNetworksEvent_free(ANeuralNetworksEvent* event) {
1448 NNTRACE_RT(NNTRACE_PHASE_EXECUTION, "ANeuralNetworksEvent_free");
1449 // No validation. Free of nullptr is valid.
1450 if (event) {
1451 IEvent* e = reinterpret_cast<IEvent*>(event);
1452 e->wait();
1453 delete e;
1454 }
1455 }
1456
ANeuralNetworksExecution_setLoopTimeout(ANeuralNetworksExecution * execution,uint64_t duration)1457 int ANeuralNetworksExecution_setLoopTimeout(ANeuralNetworksExecution* execution,
1458 uint64_t duration) {
1459 NNTRACE_RT(NNTRACE_PHASE_EXECUTION, "ANeuralNetworksExecution_setLoopTimeout");
1460 if (!execution) {
1461 LOG(ERROR) << "ANeuralNetworksExecution_setLoopTimeout passed a nullptr";
1462 return ANEURALNETWORKS_UNEXPECTED_NULL;
1463 }
1464
1465 ExecutionBuilder* r = reinterpret_cast<ExecutionBuilder*>(execution);
1466 return r->setLoopTimeout(duration);
1467 }
1468
ANeuralNetworks_getDefaultLoopTimeout()1469 uint64_t ANeuralNetworks_getDefaultLoopTimeout() {
1470 return operation_while::kTimeoutNsDefault;
1471 }
1472
ANeuralNetworks_getMaximumLoopTimeout()1473 uint64_t ANeuralNetworks_getMaximumLoopTimeout() {
1474 return operation_while::kTimeoutNsMaximum;
1475 }
1476
ANeuralNetworksDevice_getExtensionSupport(const ANeuralNetworksDevice * device,const char * extensionName,bool * isExtensionSupported)1477 int ANeuralNetworksDevice_getExtensionSupport(const ANeuralNetworksDevice* device,
1478 const char* extensionName,
1479 bool* isExtensionSupported) {
1480 if (device == nullptr || extensionName == nullptr || isExtensionSupported == nullptr) {
1481 LOG(ERROR) << "ANeuralNetworksDevice_getExtensionSupport passed a nullptr";
1482 return ANEURALNETWORKS_UNEXPECTED_NULL;
1483 }
1484
1485 const Device* d = reinterpret_cast<const Device*>(device);
1486 const auto& supportedExtensions = d->getSupportedExtensions();
1487 *isExtensionSupported = std::any_of(supportedExtensions.begin(), supportedExtensions.end(),
1488 [extensionName](const auto& supportedExtension) {
1489 return supportedExtension.name == extensionName;
1490 });
1491
1492 return ANEURALNETWORKS_NO_ERROR;
1493 }
1494
ANeuralNetworksModel_getExtensionOperandType(ANeuralNetworksModel * model,const char * extensionName,uint16_t operandCodeWithinExtension,int32_t * type)1495 int ANeuralNetworksModel_getExtensionOperandType(ANeuralNetworksModel* model,
1496 const char* extensionName,
1497 uint16_t operandCodeWithinExtension,
1498 int32_t* type) {
1499 NNTRACE_RT(NNTRACE_PHASE_PREPARATION, "ANeuralNetworksModel_getExtensionOperandType");
1500 if (!model || !extensionName || !type) {
1501 LOG(ERROR) << "ANeuralNetworksModel_getExtensionOperandType passed a nullptr";
1502 return ANEURALNETWORKS_UNEXPECTED_NULL;
1503 }
1504 ModelBuilder* m = reinterpret_cast<ModelBuilder*>(model);
1505 return m->getExtensionType(extensionName, operandCodeWithinExtension, type);
1506 }
1507
ANeuralNetworksModel_getExtensionOperationType(ANeuralNetworksModel * model,const char * extensionName,uint16_t operationCodeWithinExtension,ANeuralNetworksOperationType * type)1508 int ANeuralNetworksModel_getExtensionOperationType(ANeuralNetworksModel* model,
1509 const char* extensionName,
1510 uint16_t operationCodeWithinExtension,
1511 ANeuralNetworksOperationType* type) {
1512 NNTRACE_RT(NNTRACE_PHASE_PREPARATION, "ANeuralNetworksModel_getExtensionOperationType");
1513 if (!model || !extensionName || !type) {
1514 LOG(ERROR) << "ANeuralNetworksModel_getExtensionOperationType passed a nullptr";
1515 return ANEURALNETWORKS_UNEXPECTED_NULL;
1516 }
1517 ModelBuilder* m = reinterpret_cast<ModelBuilder*>(model);
1518 return m->getExtensionType(extensionName, operationCodeWithinExtension, type);
1519 }
1520
ANeuralNetworksModel_setOperandExtensionData(ANeuralNetworksModel * model,int32_t index,const void * data,size_t length)1521 int ANeuralNetworksModel_setOperandExtensionData(ANeuralNetworksModel* model, int32_t index,
1522 const void* data, size_t length) {
1523 NNTRACE_RT(NNTRACE_PHASE_PREPARATION, "ANeuralNetworksModel_setOperandExtensionData");
1524 if (!model || (!data && length != 0)) {
1525 LOG(ERROR) << "ANeuralNetworksModel_setOperandExtensionData passed a nullptr";
1526 return ANEURALNETWORKS_UNEXPECTED_NULL;
1527 }
1528 ModelBuilder* m = reinterpret_cast<ModelBuilder*>(model);
1529 return m->setOperandExtensionData(index, data, length);
1530 }
1531
ANeuralNetworksCompilation_addExtensionAttribute(ANeuralNetworksCompilation * compilation,const char * extensionName,uint16_t attributeCodeWithinExtension,const void * data,size_t length)1532 int ANeuralNetworksCompilation_addExtensionAttribute(ANeuralNetworksCompilation* compilation,
1533 const char* extensionName,
1534 uint16_t attributeCodeWithinExtension,
1535 const void* data, size_t length) {
1536 NNTRACE_RT(NNTRACE_PHASE_COMPILATION, "ANeuralNetworksCompilation_addExtensionAttribute");
1537 if (!compilation || !extensionName || (!data && length != 0)) {
1538 LOG(ERROR) << "ANeuralNetworksCompilation_addExtensionAttribute passed a nullptr";
1539 return ANEURALNETWORKS_UNEXPECTED_NULL;
1540 }
1541 CompilationBuilder* c = reinterpret_cast<CompilationBuilder*>(compilation);
1542 return c->addExtensionAttribute(extensionName, attributeCodeWithinExtension, data, length);
1543 }
1544
ANeuralNetworksExecution_addExtensionAttribute(ANeuralNetworksExecution * execution,const char * extensionName,uint16_t attributeCodeWithinExtension,const void * data,size_t length)1545 int ANeuralNetworksExecution_addExtensionAttribute(ANeuralNetworksExecution* execution,
1546 const char* extensionName,
1547 uint16_t attributeCodeWithinExtension,
1548 const void* data, size_t length) {
1549 NNTRACE_RT(NNTRACE_PHASE_EXECUTION, "ANeuralNetworksExecution_addExtensionAttribute");
1550 if (!execution || !extensionName || (!data && length != 0)) {
1551 LOG(ERROR) << "ANeuralNetworksExecution_addExtensionAttribute passed a nullptr";
1552 return ANEURALNETWORKS_UNEXPECTED_NULL;
1553 }
1554 ExecutionBuilder* r = reinterpret_cast<ExecutionBuilder*>(execution);
1555 return r->addExtensionAttribute(extensionName, attributeCodeWithinExtension, data, length);
1556 }
1557
ANeuralNetworksEvent_createFromSyncFenceFd(int syncFenceFd,ANeuralNetworksEvent ** event)1558 int ANeuralNetworksEvent_createFromSyncFenceFd(int syncFenceFd, ANeuralNetworksEvent** event) {
1559 if (event == nullptr) {
1560 LOG(ERROR) << "ANeuralNetworksEvent_createFromSyncFenceFd passed a nullptr";
1561 return ANEURALNETWORKS_UNEXPECTED_NULL;
1562 }
1563 if (syncFenceFd <= 0) {
1564 LOG(ERROR) << "ANeuralNetworksEvent_createFromSyncFenceFd passed an invalid fd: "
1565 << syncFenceFd;
1566 *event = nullptr;
1567 return ANEURALNETWORKS_BAD_DATA;
1568 }
1569 std::unique_ptr<SyncFenceEvent> e =
1570 std::make_unique<SyncFenceEvent>(syncFenceFd, nullptr, nullptr);
1571 *event = reinterpret_cast<ANeuralNetworksEvent*>(e.release());
1572 return ANEURALNETWORKS_NO_ERROR;
1573 }
1574
ANeuralNetworksEvent_getSyncFenceFd(const ANeuralNetworksEvent * event,int * syncFenceFd)1575 int ANeuralNetworksEvent_getSyncFenceFd(const ANeuralNetworksEvent* event, int* syncFenceFd) {
1576 if (syncFenceFd == nullptr) {
1577 LOG(ERROR) << "ANeuralNetworksEvent_getSyncFenceFd passed a nullptr";
1578 return ANEURALNETWORKS_UNEXPECTED_NULL;
1579 }
1580 *syncFenceFd = -1;
1581 if (event == nullptr) {
1582 LOG(ERROR) << "ANeuralNetworksEvent_getSyncFenceFd passed a nullptr";
1583 return ANEURALNETWORKS_UNEXPECTED_NULL;
1584 }
1585 const IEvent* e = reinterpret_cast<const IEvent*>(event);
1586 // The client owns the dupped fd, and is responsible for closing it.
1587 *syncFenceFd = e->getSyncFenceFd(/*shouldDup*/ true);
1588 if (*syncFenceFd <= 0) {
1589 LOG(ERROR) << "ANeuralNetworksEvent_getSyncFenceFd unable to get valid sync_fence fd";
1590 *syncFenceFd = -1;
1591 return ANEURALNETWORKS_BAD_DATA;
1592 }
1593 return ANEURALNETWORKS_NO_ERROR;
1594 }
1595
ANeuralNetworksExecution_startComputeWithDependencies(ANeuralNetworksExecution * execution,const ANeuralNetworksEvent * const * dependencies,uint32_t numOfDependencies,uint64_t duration,ANeuralNetworksEvent ** event)1596 int ANeuralNetworksExecution_startComputeWithDependencies(
1597 ANeuralNetworksExecution* execution, const ANeuralNetworksEvent* const* dependencies,
1598 uint32_t numOfDependencies, uint64_t duration, ANeuralNetworksEvent** event) {
1599 NNTRACE_RT(NNTRACE_PHASE_EXECUTION, "ANeuralNetworksExecution_startComputeWithDependencies");
1600 if (!event) {
1601 LOG(ERROR) << "ANeuralNetworksExecution_startComputeWithDependencies passed a nullptr";
1602 return ANEURALNETWORKS_UNEXPECTED_NULL;
1603 }
1604 if ((!dependencies && numOfDependencies != 0) || !execution) {
1605 LOG(ERROR) << "ANeuralNetworksExecution_startComputeWithDependencies passed a nullptr";
1606 *event = nullptr;
1607 return ANEURALNETWORKS_UNEXPECTED_NULL;
1608 }
1609 ExecutionBuilder* r = reinterpret_cast<ExecutionBuilder*>(execution);
1610
1611 std::vector<int> waitForList;
1612 for (uint32_t i = 0; i < numOfDependencies; i++) {
1613 if (!dependencies[i]) {
1614 LOG(ERROR) << "ANeuralNetworksExecution_startComputeWithDependencies passed a nullptr";
1615 *event = nullptr;
1616 return ANEURALNETWORKS_UNEXPECTED_NULL;
1617 }
1618 const IEvent* e = reinterpret_cast<const IEvent*>(dependencies[i]);
1619 int syncFenceFd = e->getSyncFenceFd(/*should_dup*/ false);
1620 if (syncFenceFd < 0) {
1621 e->wait();
1622 } else {
1623 waitForList.push_back(syncFenceFd);
1624 }
1625 }
1626
1627 if (r->getCompilation()->hasDynamicTemporaries()) {
1628 // The current implementation of fenced execution does not support
1629 // dynamic temporaries. Fall back to non fenced execution.
1630 LOG(INFO) << "ANeuralNetworksExecution_startComputeWithDependencies falling back"
1631 << " to ANeuralNetworksExecution_startCompute"
1632 << " because of boundary operands of unknown size";
1633 for (int syncFenceFd : waitForList) {
1634 if (syncFenceFd > 0) {
1635 auto w = syncWait(syncFenceFd, -1);
1636 if (w != FenceState::SIGNALED) {
1637 VLOG(EXECUTION) << "syncWait failed, fd: " << syncFenceFd;
1638 *event = nullptr;
1639 return ANEURALNETWORKS_OP_FAILED;
1640 }
1641 }
1642 }
1643 return ANeuralNetworksExecution_startCompute(execution, event);
1644 }
1645
1646 int syncFenceToSignal = -1;
1647 int n = r->computeFenced(waitForList, duration, &syncFenceToSignal);
1648 std::unique_ptr<SyncFenceEvent> e = std::make_unique<SyncFenceEvent>(
1649 syncFenceToSignal, r->getExecuteFencedInfoCallback(),
1650 // TODO(miaowang): support dynamic output shape only with memory domain.
1651 // For now just return empty output shapes.
1652 [r](ErrorStatus status) {
1653 return r->finishComputation(status, {}, ExecutionMode::ASYNC_WITH_DEPS);
1654 });
1655 close(syncFenceToSignal);
1656 if (n != ANEURALNETWORKS_NO_ERROR) {
1657 *event = nullptr;
1658 } else {
1659 *event = reinterpret_cast<ANeuralNetworksEvent*>(e.release());
1660 }
1661 return n;
1662 }
1663
1664 #ifdef NN_DEBUGGABLE
1665 static int64_t sRuntimeFeatureLevel = 0;
forTest_setRuntimeFeatureLevel(int64_t level)1666 void forTest_setRuntimeFeatureLevel(int64_t level) {
1667 sRuntimeFeatureLevel = level;
1668 }
1669 #endif
1670
ANeuralNetworks_getRuntimeFeatureLevel()1671 int64_t ANeuralNetworks_getRuntimeFeatureLevel() {
1672 #ifdef NN_DEBUGGABLE
1673 if (sRuntimeFeatureLevel) {
1674 return sRuntimeFeatureLevel;
1675 }
1676 #endif
1677 return DeviceManager::get()->getRuntimeFeatureLevel();
1678 }
1679
ANeuralNetworksExecution_enableInputAndOutputPadding(ANeuralNetworksExecution * execution,bool enable)1680 int ANeuralNetworksExecution_enableInputAndOutputPadding(ANeuralNetworksExecution* execution,
1681 bool enable) {
1682 NNTRACE_RT(NNTRACE_PHASE_EXECUTION, "ANeuralNetworksExecution_enableInputAndOutputPadding");
1683 if (!execution) {
1684 LOG(ERROR) << "ANeuralNetworksExecution_enableInputAndOutputPadding passed a nullptr";
1685 return ANEURALNETWORKS_UNEXPECTED_NULL;
1686 }
1687 ExecutionBuilder* r = reinterpret_cast<ExecutionBuilder*>(execution);
1688 return r->enableInputAndOutputPadding(enable);
1689 }
1690
ANeuralNetworksCompilation_getPreferredMemoryAlignmentForInput(const ANeuralNetworksCompilation * compilation,uint32_t index,uint32_t * alignment)1691 int ANeuralNetworksCompilation_getPreferredMemoryAlignmentForInput(
1692 const ANeuralNetworksCompilation* compilation, uint32_t index, uint32_t* alignment) {
1693 NNTRACE_RT(NNTRACE_PHASE_COMPILATION,
1694 "ANeuralNetworksCompilation_getPreferredMemoryAlignmentForInput");
1695 if (!compilation || !alignment) {
1696 LOG(ERROR) << "ANeuralNetworksCompilation_getPreferredMemoryAlignmentForInput passed a "
1697 "nullptr";
1698 return ANEURALNETWORKS_UNEXPECTED_NULL;
1699 }
1700 const CompilationBuilder* c = reinterpret_cast<const CompilationBuilder*>(compilation);
1701 return c->getPreferredMemoryAlignmentForInput(index, alignment);
1702 }
1703
ANeuralNetworksCompilation_getPreferredMemoryPaddingForInput(const ANeuralNetworksCompilation * compilation,uint32_t index,uint32_t * padding)1704 int ANeuralNetworksCompilation_getPreferredMemoryPaddingForInput(
1705 const ANeuralNetworksCompilation* compilation, uint32_t index, uint32_t* padding) {
1706 NNTRACE_RT(NNTRACE_PHASE_COMPILATION,
1707 "ANeuralNetworksCompilation_getPreferredMemoryPaddingForInput");
1708 if (!compilation || !padding) {
1709 LOG(ERROR) << "ANeuralNetworksCompilation_getPreferredMemoryPaddingForInput passed a "
1710 "nullptr";
1711 return ANEURALNETWORKS_UNEXPECTED_NULL;
1712 }
1713 const CompilationBuilder* c = reinterpret_cast<const CompilationBuilder*>(compilation);
1714 return c->getPreferredMemoryPaddingForInput(index, padding);
1715 }
1716
ANeuralNetworksCompilation_getPreferredMemoryAlignmentForOutput(const ANeuralNetworksCompilation * compilation,uint32_t index,uint32_t * alignment)1717 int ANeuralNetworksCompilation_getPreferredMemoryAlignmentForOutput(
1718 const ANeuralNetworksCompilation* compilation, uint32_t index, uint32_t* alignment) {
1719 NNTRACE_RT(NNTRACE_PHASE_COMPILATION,
1720 "ANeuralNetworksCompilation_getPreferredMemoryAlignmentForOutput");
1721 if (!compilation || !alignment) {
1722 LOG(ERROR) << "ANeuralNetworksCompilation_getPreferredMemoryAlignmentForOutput passed a "
1723 "nullptr";
1724 return ANEURALNETWORKS_UNEXPECTED_NULL;
1725 }
1726 const CompilationBuilder* c = reinterpret_cast<const CompilationBuilder*>(compilation);
1727 return c->getPreferredMemoryAlignmentForOutput(index, alignment);
1728 }
1729
ANeuralNetworksCompilation_getPreferredMemoryPaddingForOutput(const ANeuralNetworksCompilation * compilation,uint32_t index,uint32_t * padding)1730 int ANeuralNetworksCompilation_getPreferredMemoryPaddingForOutput(
1731 const ANeuralNetworksCompilation* compilation, uint32_t index, uint32_t* padding) {
1732 NNTRACE_RT(NNTRACE_PHASE_COMPILATION,
1733 "ANeuralNetworksCompilation_getPreferredMemoryPaddingForOutput");
1734 if (!compilation || !padding) {
1735 LOG(ERROR) << "ANeuralNetworksCompilation_getPreferredMemoryPaddingForOutput passed a "
1736 "nullptr";
1737 return ANEURALNETWORKS_UNEXPECTED_NULL;
1738 }
1739 const CompilationBuilder* c = reinterpret_cast<const CompilationBuilder*>(compilation);
1740 return c->getPreferredMemoryPaddingForOutput(index, padding);
1741 }
1742
ANeuralNetworksExecution_setReusable(ANeuralNetworksExecution * execution,bool reusable)1743 int ANeuralNetworksExecution_setReusable(ANeuralNetworksExecution* execution, bool reusable) {
1744 NNTRACE_RT(NNTRACE_PHASE_EXECUTION, "ANeuralNetworksExecution_setReusable");
1745 if (!execution) {
1746 LOG(ERROR) << "ANeuralNetworksExecution_setReusable passed a nullptr";
1747 return ANEURALNETWORKS_UNEXPECTED_NULL;
1748 }
1749 ExecutionBuilder* r = reinterpret_cast<ExecutionBuilder*>(execution);
1750 return r->setReusable(reusable);
1751 }
1752
1753 #ifdef NN_COMPATIBILITY_LIBRARY_BUILD
1754
SL_ANeuralNetworksCompilation_setCachingFromFds(ANeuralNetworksCompilation * compilation,const int * modelCacheFds,const uint32_t numModelCacheFiles,const int * dataCacheFds,const uint32_t numDataCacheFiles,const uint8_t * token)1755 int SL_ANeuralNetworksCompilation_setCachingFromFds(ANeuralNetworksCompilation* compilation,
1756 const int* modelCacheFds,
1757 const uint32_t numModelCacheFiles,
1758 const int* dataCacheFds,
1759 const uint32_t numDataCacheFiles,
1760 const uint8_t* token) {
1761 NNTRACE_RT(NNTRACE_PHASE_COMPILATION, "SL_ANeuralNetworksCompilation_setCachingFromFds");
1762 if (!compilation || (numModelCacheFiles != 0 && !modelCacheFds) ||
1763 (numDataCacheFiles != 0 && !dataCacheFds) || !token) {
1764 LOG(ERROR) << "SL_ANeuralNetworksCompilation_setCachingFromFds passed a nullptr";
1765 return ANEURALNETWORKS_UNEXPECTED_NULL;
1766 }
1767 CompilationBuilder* c = reinterpret_cast<CompilationBuilder*>(compilation);
1768 return c->setCachingFromFds(modelCacheFds, numModelCacheFiles, dataCacheFds, numDataCacheFiles,
1769 token);
1770 }
1771
SL_ANeuralNetworksDevice_getNumberOfCacheFilesNeeded(const ANeuralNetworksDevice * device,uint32_t * numModelCacheFiles,uint32_t * numDataCacheFiles)1772 int SL_ANeuralNetworksDevice_getNumberOfCacheFilesNeeded(const ANeuralNetworksDevice* device,
1773 uint32_t* numModelCacheFiles,
1774 uint32_t* numDataCacheFiles) {
1775 if (numModelCacheFiles) *numModelCacheFiles = 0;
1776 if (numDataCacheFiles) *numDataCacheFiles = 0;
1777
1778 if (device == nullptr || numModelCacheFiles == nullptr || numDataCacheFiles == nullptr) {
1779 LOG(ERROR) << "SL_ANeuralNetworksDevice_getNumberOfCacheFilesNeeded passed a nullptr";
1780 return ANEURALNETWORKS_UNEXPECTED_NULL;
1781 }
1782
1783 const Device* d = reinterpret_cast<const Device*>(device);
1784 std::tie(*numModelCacheFiles, *numDataCacheFiles) = d->getNumberOfCacheFilesNeeded();
1785 return ANEURALNETWORKS_NO_ERROR;
1786 }
1787
SL_ANeuralNetworksDevice_getPerformanceInfo(const ANeuralNetworksDevice * device,int32_t performanceInfoKind,SL_ANeuralNetworksPerformanceInfo * performanceInfo)1788 int SL_ANeuralNetworksDevice_getPerformanceInfo(
1789 const ANeuralNetworksDevice* device, int32_t performanceInfoKind,
1790 SL_ANeuralNetworksPerformanceInfo* performanceInfo) {
1791 if (performanceInfo) *performanceInfo = {.execTime = 0.0f, .powerUsage = 0.0f};
1792
1793 if (device == nullptr || performanceInfo == nullptr) {
1794 LOG(ERROR) << "SL_ANeuralNetworksDevice_getPerformanceInfo passed a nullptr";
1795 return ANEURALNETWORKS_UNEXPECTED_NULL;
1796 }
1797
1798 constexpr auto conv = [](const Capabilities::PerformanceInfo& info) {
1799 return SL_ANeuralNetworksPerformanceInfo{.execTime = info.execTime,
1800 .powerUsage = info.powerUsage};
1801 };
1802
1803 const Device* d = reinterpret_cast<const Device*>(device);
1804 const Capabilities& capabilities = d->getCapabilities();
1805
1806 switch (performanceInfoKind) {
1807 case SL_ANEURALNETWORKS_CAPABILITIES_PERFORMANCE_RELAXED_SCALAR:
1808 *performanceInfo = conv(capabilities.relaxedFloat32toFloat16PerformanceScalar);
1809 return ANEURALNETWORKS_NO_ERROR;
1810 case SL_ANEURALNETWORKS_CAPABILITIES_PERFORMANCE_RELAXED_TENSOR:
1811 *performanceInfo = conv(capabilities.relaxedFloat32toFloat16PerformanceTensor);
1812 return ANEURALNETWORKS_NO_ERROR;
1813 case SL_ANEURALNETWORKS_CAPABILITIES_PERFORMANCE_IF:
1814 *performanceInfo = conv(capabilities.ifPerformance);
1815 return ANEURALNETWORKS_NO_ERROR;
1816 case SL_ANEURALNETWORKS_CAPABILITIES_PERFORMANCE_WHILE:
1817 *performanceInfo = conv(capabilities.whilePerformance);
1818 return ANEURALNETWORKS_NO_ERROR;
1819 }
1820
1821 LOG(ERROR) << "SL_ANeuralNetworksDevice_getPerformanceInfo passed unknown performanceInfoKind "
1822 << performanceInfoKind;
1823 return ANEURALNETWORKS_BAD_DATA;
1824 }
1825
SL_ANeuralNetworksDevice_forEachOperandPerformanceInfo(const ANeuralNetworksDevice * device,void * context,void (* callback)(SL_ANeuralNetworksOperandPerformanceInfo,void *))1826 int SL_ANeuralNetworksDevice_forEachOperandPerformanceInfo(
1827 const ANeuralNetworksDevice* device, void* context,
1828 void (*callback)(SL_ANeuralNetworksOperandPerformanceInfo, void*)) {
1829 if (device == nullptr || context == nullptr || callback == nullptr) {
1830 LOG(ERROR) << "SL_ANeuralNetworksDevice_forEachOperandPerformanceInfo passed a nullptr";
1831 return ANEURALNETWORKS_UNEXPECTED_NULL;
1832 }
1833
1834 constexpr auto conv = [](const Capabilities::OperandPerformance& operandPerformance) {
1835 return SL_ANeuralNetworksOperandPerformanceInfo{
1836 .operandType = static_cast<int32_t>(operandPerformance.type),
1837 .performanceInfo = {.execTime = operandPerformance.info.execTime,
1838 .powerUsage = operandPerformance.info.powerUsage},
1839 };
1840 };
1841
1842 const Device* d = reinterpret_cast<const Device*>(device);
1843 const Capabilities& capabilities = d->getCapabilities();
1844
1845 for (const auto& operandPerformance : capabilities.operandPerformance.asVector()) {
1846 const SL_ANeuralNetworksOperandPerformanceInfo opPerf = conv(operandPerformance);
1847 callback(opPerf, context);
1848 }
1849 return ANEURALNETWORKS_NO_ERROR;
1850 }
1851
SL_ANeuralNetworksDevice_getVendorExtensionCount(const ANeuralNetworksDevice * device,uint32_t * vendorExtensionCount)1852 int SL_ANeuralNetworksDevice_getVendorExtensionCount(const ANeuralNetworksDevice* device,
1853 uint32_t* vendorExtensionCount) {
1854 if (vendorExtensionCount) *vendorExtensionCount = 0;
1855
1856 if (device == nullptr || vendorExtensionCount == nullptr) {
1857 LOG(ERROR) << "SL_ANeuralNetworksDevice_getVendorExtensionCount passed a nullptr";
1858 return ANEURALNETWORKS_UNEXPECTED_NULL;
1859 }
1860
1861 const Device* d = reinterpret_cast<const Device*>(device);
1862 *vendorExtensionCount = d->getSupportedExtensions().size();
1863 return ANEURALNETWORKS_NO_ERROR;
1864 }
1865
SL_ANeuralNetworksDevice_getVendorExtensionName(const ANeuralNetworksDevice * device,uint32_t vendorExtensionIndex,const char ** extensionName)1866 int SL_ANeuralNetworksDevice_getVendorExtensionName(const ANeuralNetworksDevice* device,
1867 uint32_t vendorExtensionIndex,
1868 const char** extensionName) {
1869 if (extensionName) *extensionName = nullptr;
1870
1871 if (device == nullptr || extensionName == nullptr) {
1872 LOG(ERROR) << "SL_ANeuralNetworksDevice_getVendorExtensionName passed a nullptr";
1873 return ANEURALNETWORKS_UNEXPECTED_NULL;
1874 }
1875
1876 const Device* d = reinterpret_cast<const Device*>(device);
1877 const auto& extensions = d->getSupportedExtensions();
1878
1879 if (vendorExtensionIndex >= extensions.size()) {
1880 LOG(ERROR)
1881 << "SL_ANeuralNetworksDevice_getVendorExtensionName passed a vendorExtensionIndex "
1882 "that is out of range";
1883 return ANEURALNETWORKS_BAD_DATA;
1884 }
1885 const auto& extension = extensions[vendorExtensionIndex];
1886
1887 *extensionName = extension.name.c_str();
1888 return ANEURALNETWORKS_NO_ERROR;
1889 }
1890
SL_ANeuralNetworksDevice_forEachVendorExtensionOperandTypeInformation(const ANeuralNetworksDevice * device,uint32_t vendorExtensionIndex,void * context,void (* callback)(SL_ANeuralNetworksExtensionOperandTypeInformation,void *))1891 int SL_ANeuralNetworksDevice_forEachVendorExtensionOperandTypeInformation(
1892 const ANeuralNetworksDevice* device, uint32_t vendorExtensionIndex, void* context,
1893 void (*callback)(SL_ANeuralNetworksExtensionOperandTypeInformation, void*)) {
1894 if (device == nullptr || context == nullptr || callback == nullptr) {
1895 LOG(ERROR)
1896 << "SL_ANeuralNetworksDevice_forEachVendorExtensionOperandTypeInformation passed a "
1897 "nullptr";
1898 return ANEURALNETWORKS_UNEXPECTED_NULL;
1899 }
1900
1901 const Device* d = reinterpret_cast<const Device*>(device);
1902 const auto& extensions = d->getSupportedExtensions();
1903
1904 if (vendorExtensionIndex >= extensions.size()) {
1905 LOG(ERROR)
1906 << "SL_ANeuralNetworksDevice_forEachVendorExtensionOperandTypeInformation passed a "
1907 "vendorExtensionIndex that is out of range";
1908 return ANEURALNETWORKS_BAD_DATA;
1909 }
1910 const auto& operandTypes = extensions[vendorExtensionIndex].operandTypes;
1911
1912 constexpr auto conv = [](const Extension::OperandTypeInformation& operandTypeInfo) {
1913 return SL_ANeuralNetworksExtensionOperandTypeInformation{
1914 .byteSize = operandTypeInfo.byteSize,
1915 .type = operandTypeInfo.type,
1916 .isTensor = operandTypeInfo.isTensor,
1917 };
1918 };
1919
1920 for (const auto& operandTypeInfo : operandTypes) {
1921 const SL_ANeuralNetworksExtensionOperandTypeInformation opTypeInfo = conv(operandTypeInfo);
1922 callback(opTypeInfo, context);
1923 }
1924 return ANEURALNETWORKS_NO_ERROR;
1925 }
1926
1927 #define NNCL_FUNC(symbol) .symbol = symbol
1928
1929 NnApiSLDriverImplFL8 slDriverImpl{
1930 .base{
1931 .base{.implFeatureLevel = ANEURALNETWORKS_FEATURE_LEVEL_8},
1932 NNCL_FUNC(ANeuralNetworksBurst_create),
1933 NNCL_FUNC(ANeuralNetworksBurst_free),
1934 NNCL_FUNC(ANeuralNetworksCompilation_createForDevices),
1935 NNCL_FUNC(ANeuralNetworksCompilation_finish),
1936 NNCL_FUNC(ANeuralNetworksCompilation_free),
1937 NNCL_FUNC(ANeuralNetworksCompilation_getPreferredMemoryAlignmentForInput),
1938 NNCL_FUNC(ANeuralNetworksCompilation_getPreferredMemoryAlignmentForOutput),
1939 NNCL_FUNC(ANeuralNetworksCompilation_getPreferredMemoryPaddingForInput),
1940 NNCL_FUNC(ANeuralNetworksCompilation_getPreferredMemoryPaddingForOutput),
1941 NNCL_FUNC(ANeuralNetworksCompilation_setCaching),
1942 NNCL_FUNC(ANeuralNetworksCompilation_setPreference),
1943 NNCL_FUNC(ANeuralNetworksCompilation_setPriority),
1944 NNCL_FUNC(ANeuralNetworksCompilation_setTimeout),
1945 NNCL_FUNC(ANeuralNetworksDevice_getExtensionSupport),
1946 NNCL_FUNC(ANeuralNetworksDevice_getFeatureLevel),
1947 NNCL_FUNC(ANeuralNetworksDevice_getName),
1948 NNCL_FUNC(ANeuralNetworksDevice_getType),
1949 NNCL_FUNC(ANeuralNetworksDevice_getVersion),
1950 NNCL_FUNC(ANeuralNetworksDevice_wait),
1951 NNCL_FUNC(ANeuralNetworksEvent_createFromSyncFenceFd),
1952 NNCL_FUNC(ANeuralNetworksEvent_free),
1953 NNCL_FUNC(ANeuralNetworksEvent_getSyncFenceFd),
1954 NNCL_FUNC(ANeuralNetworksEvent_wait),
1955 NNCL_FUNC(ANeuralNetworksExecution_burstCompute),
1956 NNCL_FUNC(ANeuralNetworksExecution_compute),
1957 NNCL_FUNC(ANeuralNetworksExecution_create),
1958 NNCL_FUNC(ANeuralNetworksExecution_enableInputAndOutputPadding),
1959 NNCL_FUNC(ANeuralNetworksExecution_free),
1960 NNCL_FUNC(ANeuralNetworksExecution_getDuration),
1961 NNCL_FUNC(ANeuralNetworksExecution_getOutputOperandDimensions),
1962 NNCL_FUNC(ANeuralNetworksExecution_getOutputOperandRank),
1963 NNCL_FUNC(ANeuralNetworksExecution_setInput),
1964 NNCL_FUNC(ANeuralNetworksExecution_setInputFromMemory),
1965 NNCL_FUNC(ANeuralNetworksExecution_setLoopTimeout),
1966 NNCL_FUNC(ANeuralNetworksExecution_setMeasureTiming),
1967 NNCL_FUNC(ANeuralNetworksExecution_setOutput),
1968 NNCL_FUNC(ANeuralNetworksExecution_setOutputFromMemory),
1969 NNCL_FUNC(ANeuralNetworksExecution_setReusable),
1970 NNCL_FUNC(ANeuralNetworksExecution_setTimeout),
1971 NNCL_FUNC(ANeuralNetworksExecution_startComputeWithDependencies),
1972 NNCL_FUNC(ANeuralNetworksMemoryDesc_addInputRole),
1973 NNCL_FUNC(ANeuralNetworksMemoryDesc_addOutputRole),
1974 NNCL_FUNC(ANeuralNetworksMemoryDesc_create),
1975 NNCL_FUNC(ANeuralNetworksMemoryDesc_finish),
1976 NNCL_FUNC(ANeuralNetworksMemoryDesc_free),
1977 NNCL_FUNC(ANeuralNetworksMemoryDesc_setDimensions),
1978 NNCL_FUNC(ANeuralNetworksMemory_copy),
1979 NNCL_FUNC(ANeuralNetworksMemory_createFromAHardwareBuffer),
1980 NNCL_FUNC(ANeuralNetworksMemory_createFromDesc),
1981 NNCL_FUNC(ANeuralNetworksMemory_createFromFd),
1982 NNCL_FUNC(ANeuralNetworksMemory_free),
1983 NNCL_FUNC(ANeuralNetworksModel_addOperand),
1984 NNCL_FUNC(ANeuralNetworksModel_addOperation),
1985 NNCL_FUNC(ANeuralNetworksModel_create),
1986 NNCL_FUNC(ANeuralNetworksModel_finish),
1987 NNCL_FUNC(ANeuralNetworksModel_free),
1988 NNCL_FUNC(ANeuralNetworksModel_getExtensionOperandType),
1989 NNCL_FUNC(ANeuralNetworksModel_getExtensionOperationType),
1990 NNCL_FUNC(ANeuralNetworksModel_getSupportedOperationsForDevices),
1991 NNCL_FUNC(ANeuralNetworksModel_identifyInputsAndOutputs),
1992 NNCL_FUNC(ANeuralNetworksModel_relaxComputationFloat32toFloat16),
1993 NNCL_FUNC(ANeuralNetworksModel_setOperandExtensionData),
1994 NNCL_FUNC(ANeuralNetworksModel_setOperandSymmPerChannelQuantParams),
1995 NNCL_FUNC(ANeuralNetworksModel_setOperandValue),
1996 NNCL_FUNC(ANeuralNetworksModel_setOperandValueFromMemory),
1997 NNCL_FUNC(ANeuralNetworksModel_setOperandValueFromModel),
1998 NNCL_FUNC(ANeuralNetworks_getDefaultLoopTimeout),
1999 NNCL_FUNC(ANeuralNetworks_getDevice),
2000 NNCL_FUNC(ANeuralNetworks_getDeviceCount),
2001 NNCL_FUNC(ANeuralNetworks_getMaximumLoopTimeout),
2002 NNCL_FUNC(ANeuralNetworks_getRuntimeFeatureLevel),
2003 NNCL_FUNC(SL_ANeuralNetworksCompilation_setCachingFromFds),
2004 NNCL_FUNC(SL_ANeuralNetworksDevice_getNumberOfCacheFilesNeeded),
2005 NNCL_FUNC(SL_ANeuralNetworksDevice_getPerformanceInfo),
2006 NNCL_FUNC(SL_ANeuralNetworksDevice_forEachOperandPerformanceInfo),
2007 NNCL_FUNC(SL_ANeuralNetworksDevice_getVendorExtensionCount),
2008 NNCL_FUNC(SL_ANeuralNetworksDevice_getVendorExtensionName),
2009 NNCL_FUNC(SL_ANeuralNetworksDevice_forEachVendorExtensionOperandTypeInformation),
2010 NNCL_FUNC(SL_ANeuralNetworksDiagnosticCompilationInfo_getSessionId),
2011 NNCL_FUNC(SL_ANeuralNetworksDiagnosticCompilationInfo_getNnApiVersion),
2012 NNCL_FUNC(SL_ANeuralNetworksDiagnosticCompilationInfo_getModelArchHash),
2013 NNCL_FUNC(SL_ANeuralNetworksDiagnosticCompilationInfo_getDeviceIds),
2014 NNCL_FUNC(SL_ANeuralNetworksDiagnosticCompilationInfo_getErrorCode),
2015 NNCL_FUNC(SL_ANeuralNetworksDiagnosticCompilationInfo_getInputDataClass),
2016 NNCL_FUNC(SL_ANeuralNetworksDiagnosticCompilationInfo_getOutputDataClass),
2017 NNCL_FUNC(SL_ANeuralNetworksDiagnosticCompilationInfo_getCompilationTimeNanos),
2018 NNCL_FUNC(SL_ANeuralNetworksDiagnosticCompilationInfo_isCachingEnabled),
2019 NNCL_FUNC(SL_ANeuralNetworksDiagnosticCompilationInfo_isControlFlowUsed),
2020 NNCL_FUNC(SL_ANeuralNetworksDiagnosticCompilationInfo_areDynamicTensorsUsed),
2021 NNCL_FUNC(SL_ANeuralNetworksDiagnosticExecutionInfo_getSessionId),
2022 NNCL_FUNC(SL_ANeuralNetworksDiagnosticExecutionInfo_getNnApiVersion),
2023 NNCL_FUNC(SL_ANeuralNetworksDiagnosticExecutionInfo_getModelArchHash),
2024 NNCL_FUNC(SL_ANeuralNetworksDiagnosticExecutionInfo_getDeviceIds),
2025 NNCL_FUNC(SL_ANeuralNetworksDiagnosticExecutionInfo_getExecutionMode),
2026 NNCL_FUNC(SL_ANeuralNetworksDiagnosticExecutionInfo_getInputDataClass),
2027 NNCL_FUNC(SL_ANeuralNetworksDiagnosticExecutionInfo_getOutputDataClass),
2028 NNCL_FUNC(SL_ANeuralNetworksDiagnosticExecutionInfo_getErrorCode),
2029 NNCL_FUNC(SL_ANeuralNetworksDiagnosticExecutionInfo_getRuntimeExecutionTimeNanos),
2030 NNCL_FUNC(SL_ANeuralNetworksDiagnosticExecutionInfo_getDriverExecutionTimeNanos),
2031 NNCL_FUNC(SL_ANeuralNetworksDiagnosticExecutionInfo_getHardwareExecutionTimeNanos),
2032 NNCL_FUNC(SL_ANeuralNetworksDiagnosticExecutionInfo_isCachingEnabled),
2033 NNCL_FUNC(SL_ANeuralNetworksDiagnosticExecutionInfo_isControlFlowUsed),
2034 NNCL_FUNC(SL_ANeuralNetworksDiagnosticExecutionInfo_areDynamicTensorsUsed),
2035 NNCL_FUNC(SL_ANeuralNetworksDiagnostic_registerCallbacks),
2036 },
2037 NNCL_FUNC(ANeuralNetworksCompilation_addExtensionAttribute),
2038 NNCL_FUNC(ANeuralNetworksExecution_addExtensionAttribute),
2039 };
2040
2041 #undef NNCL_FUNC
2042
2043 __BEGIN_DECLS
ANeuralNetworks_getSLDriverImpl()2044 NnApiSLDriverImpl* ANeuralNetworks_getSLDriverImpl() {
2045 return reinterpret_cast<NnApiSLDriverImpl*>(&slDriverImpl);
2046 }
2047 __END_DECLS
2048
2049 #endif // NN_COMPATIBILITY_LIBRARY_BUILD
2050