Grant Watson | 64285a1 | 2022-11-16 15:32:39 +0000 | [diff] [blame] | 1 | |
| 2 | // Copyright (c) 2022, ARM Limited. |
| 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 | // THIS FILE IS GENERATED. DO NOT EDIT! |
| 17 | // See scripts/operator_api/generate_api.py |
| 18 | |
| 19 | #ifndef OPERATORS_H_ |
| 20 | #define OPERATORS_H_ |
| 21 | |
| 22 | #include <stddef.h> |
| 23 | #include <stdint.h> |
| 24 | |
| 25 | #ifdef __cplusplus |
| 26 | extern "C" |
| 27 | { |
| 28 | #endif /* __cplusplus */ |
| 29 | |
| 30 | // Note status needs to be aligned with graph_status |
| 31 | enum tosa_status_t |
| 32 | { |
| 33 | tosa_status_valid = 0, |
| 34 | tosa_status_unpredictable = 1, |
| 35 | tosa_status_error = 2 |
| 36 | }; |
| 37 | |
| 38 | enum tosa_mode_t |
| 39 | { |
| 40 | tosa_mode_unknown = 0, |
| 41 | tosa_mode_nearest = 1, |
| 42 | tosa_mode_bilinear = 2, |
| 43 | tosa_mode_min = 3, |
| 44 | tosa_mode_max = 4 |
| 45 | }; |
| 46 | |
| 47 | enum tosa_datatype_t |
| 48 | { |
| 49 | tosa_datatype_bf16_t = 0, |
| 50 | tosa_datatype_bool_t = 1, |
| 51 | tosa_datatype_fp16_t = 2, |
| 52 | tosa_datatype_fp32_t = 3, |
| 53 | tosa_datatype_int16_t = 4, |
| 54 | tosa_datatype_int32_t = 5, |
| 55 | tosa_datatype_int48_t = 6, |
| 56 | tosa_datatype_int4_t = 7, |
| 57 | tosa_datatype_int8_t = 8, |
| 58 | tosa_datatype_uint16_t = 9, |
| 59 | tosa_datatype_uint8_t = 10, |
| 60 | }; |
| 61 | |
| 62 | struct tosa_tensor_t |
| 63 | { |
| 64 | int32_t* shape; |
| 65 | int32_t num_dims; |
| 66 | tosa_datatype_t data_type; |
| 67 | uint8_t* data; |
| 68 | size_t size; |
| 69 | }; |
| 70 | |
| 71 | tosa_status_t tosa_run_argmax(tosa_tensor_t client_input, const int32_t client_axis, tosa_tensor_t client_output); |
| 72 | |
| 73 | tosa_status_t tosa_run_avg_pool2d(tosa_tensor_t client_input, |
| 74 | const int32_t client_kernel[2], |
| 75 | const int32_t client_stride[2], |
| 76 | const int32_t client_pad[4], |
| 77 | const int32_t client_input_zp, |
| 78 | const int32_t client_output_zp, |
| 79 | tosa_tensor_t client_output); |
| 80 | |
| 81 | tosa_status_t tosa_run_conv2d(tosa_tensor_t client_input, |
| 82 | tosa_tensor_t client_weight, |
| 83 | tosa_tensor_t client_bias, |
| 84 | const int32_t client_pad[4], |
| 85 | const int32_t client_stride[2], |
| 86 | const int32_t client_dilation[2], |
| 87 | const int32_t client_input_zp, |
| 88 | const int32_t client_weight_zp, |
| 89 | tosa_tensor_t client_output); |
| 90 | |
| 91 | tosa_status_t tosa_run_conv3d(tosa_tensor_t client_input, |
| 92 | tosa_tensor_t client_weight, |
| 93 | tosa_tensor_t client_bias, |
| 94 | const int32_t client_pad[6], |
| 95 | const int32_t client_stride[3], |
| 96 | const int32_t client_dilation[3], |
| 97 | const int32_t client_input_zp, |
| 98 | const int32_t client_weight_zp, |
| 99 | tosa_tensor_t client_output); |
| 100 | |
| 101 | tosa_status_t tosa_run_depthwise_conv2d(tosa_tensor_t client_input, |
| 102 | tosa_tensor_t client_weight, |
| 103 | tosa_tensor_t client_bias, |
| 104 | const int32_t client_pad[4], |
| 105 | const int32_t client_stride[2], |
| 106 | const int32_t client_dilation[2], |
| 107 | const int32_t client_input_zp, |
| 108 | const int32_t client_weight_zp, |
| 109 | tosa_tensor_t client_output); |
| 110 | |
| 111 | tosa_status_t tosa_run_fully_connected(tosa_tensor_t client_input, |
| 112 | const int32_t client_input_zp, |
| 113 | const int32_t client_weight_zp, |
| 114 | tosa_tensor_t client_output); |
| 115 | |
| 116 | tosa_status_t tosa_run_matmul(tosa_tensor_t client_a, |
| 117 | tosa_tensor_t client_b, |
| 118 | const int32_t client_a_zp, |
| 119 | const int32_t client_b_zp, |
| 120 | tosa_tensor_t client_output); |
| 121 | |
| 122 | tosa_status_t tosa_run_max_pool2d(tosa_tensor_t client_input, |
| 123 | const int32_t client_kernel[2], |
| 124 | const int32_t client_stride[2], |
| 125 | const int32_t client_pad[4], |
| 126 | const int32_t client_input_zp, |
| 127 | const int32_t client_output_zp, |
| 128 | tosa_tensor_t client_output); |
| 129 | |
| 130 | tosa_status_t tosa_run_transpose_conv2d(tosa_tensor_t client_input, |
| 131 | tosa_tensor_t client_weight, |
| 132 | tosa_tensor_t client_bias, |
| 133 | const int32_t client_out_pad[4], |
| 134 | const int32_t client_stride[2], |
| 135 | const int32_t client_out_shape[4], |
| 136 | const int32_t client_input_zp, |
| 137 | const int32_t client_weight_zp, |
| 138 | const int32_t client_pad_len, |
| 139 | const int32_t client_pad[], |
| 140 | const int32_t client_dilation_len, |
| 141 | const int32_t client_dilation[], |
| 142 | tosa_tensor_t client_output); |
| 143 | |
| 144 | tosa_status_t tosa_run_clamp(tosa_tensor_t client_input, |
| 145 | const int32_t client_min_int, |
| 146 | const int32_t client_max_int, |
| 147 | const float client_min_fp, |
| 148 | const float client_max_fp, |
| 149 | tosa_tensor_t client_output); |
| 150 | |
| 151 | tosa_status_t tosa_run_sigmoid(tosa_tensor_t client_input, tosa_tensor_t client_output); |
| 152 | |
| 153 | tosa_status_t tosa_run_tanh(tosa_tensor_t client_input, tosa_tensor_t client_output); |
| 154 | |
| 155 | tosa_status_t tosa_run_add(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output); |
| 156 | |
| 157 | tosa_status_t tosa_run_arithmetic_right_shift(tosa_tensor_t client_input1, |
| 158 | tosa_tensor_t client_input2, |
| 159 | const bool client_round, |
| 160 | tosa_tensor_t client_output); |
| 161 | |
| 162 | tosa_status_t |
| 163 | tosa_run_bitwise_and(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output); |
| 164 | |
| 165 | tosa_status_t |
| 166 | tosa_run_bitwise_or(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output); |
| 167 | |
| 168 | tosa_status_t |
| 169 | tosa_run_bitwise_xor(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output); |
| 170 | |
| 171 | tosa_status_t |
| 172 | tosa_run_intdiv(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output); |
| 173 | |
| 174 | tosa_status_t |
| 175 | tosa_run_logical_and(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output); |
| 176 | |
| 177 | tosa_status_t tosa_run_logical_left_shift(tosa_tensor_t client_input1, |
| 178 | tosa_tensor_t client_input2, |
| 179 | tosa_tensor_t client_output); |
| 180 | |
| 181 | tosa_status_t tosa_run_logical_right_shift(tosa_tensor_t client_input1, |
| 182 | tosa_tensor_t client_input2, |
| 183 | tosa_tensor_t client_output); |
| 184 | |
| 185 | tosa_status_t |
| 186 | tosa_run_logical_or(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output); |
| 187 | |
| 188 | tosa_status_t |
| 189 | tosa_run_logical_xor(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output); |
| 190 | |
| 191 | tosa_status_t |
| 192 | tosa_run_maximum(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output); |
| 193 | |
| 194 | tosa_status_t |
| 195 | tosa_run_minimum(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output); |
| 196 | |
| 197 | tosa_status_t tosa_run_mul(tosa_tensor_t client_input1, |
| 198 | tosa_tensor_t client_input2, |
| 199 | const uint8_t client_shift, |
| 200 | tosa_tensor_t client_output); |
| 201 | |
| 202 | tosa_status_t tosa_run_pow(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output); |
| 203 | |
| 204 | tosa_status_t tosa_run_sub(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output); |
| 205 | |
| 206 | tosa_status_t tosa_run_table(tosa_tensor_t client_input, |
| 207 | const int32_t client_table_len, |
| 208 | const int16_t client_table[], |
| 209 | tosa_tensor_t client_output); |
| 210 | |
| 211 | tosa_status_t tosa_run_abs(tosa_tensor_t client_input1, tosa_tensor_t client_output); |
| 212 | |
| 213 | tosa_status_t tosa_run_bitwise_not(tosa_tensor_t client_input1, tosa_tensor_t client_output); |
| 214 | |
| 215 | tosa_status_t tosa_run_ceil(tosa_tensor_t client_input1, tosa_tensor_t client_output); |
| 216 | |
| 217 | tosa_status_t tosa_run_clz(tosa_tensor_t client_input1, tosa_tensor_t client_output); |
| 218 | |
| 219 | tosa_status_t tosa_run_exp(tosa_tensor_t client_input1, tosa_tensor_t client_output); |
| 220 | |
| 221 | tosa_status_t tosa_run_floor(tosa_tensor_t client_input1, tosa_tensor_t client_output); |
| 222 | |
| 223 | tosa_status_t tosa_run_log(tosa_tensor_t client_input1, tosa_tensor_t client_output); |
| 224 | |
| 225 | tosa_status_t tosa_run_logical_not(tosa_tensor_t client_input1, tosa_tensor_t client_output); |
| 226 | |
| 227 | tosa_status_t tosa_run_negate(tosa_tensor_t client_input1, |
| 228 | const int32_t client_input1_zp, |
| 229 | const int32_t client_output_zp, |
| 230 | tosa_tensor_t client_output); |
| 231 | |
| 232 | tosa_status_t tosa_run_reciprocal(tosa_tensor_t client_input1, tosa_tensor_t client_output); |
| 233 | |
| 234 | tosa_status_t tosa_run_rsqrt(tosa_tensor_t client_input1, tosa_tensor_t client_output); |
| 235 | |
| 236 | tosa_status_t tosa_run_select(tosa_tensor_t client_input1, |
| 237 | tosa_tensor_t client_input2, |
| 238 | tosa_tensor_t client_input3, |
| 239 | tosa_tensor_t client_output); |
| 240 | |
| 241 | tosa_status_t tosa_run_equal(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output); |
| 242 | |
| 243 | tosa_status_t |
| 244 | tosa_run_greater(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output); |
| 245 | |
| 246 | tosa_status_t |
| 247 | tosa_run_greater_equal(tosa_tensor_t client_input1, tosa_tensor_t client_input2, tosa_tensor_t client_output); |
| 248 | |
| 249 | tosa_status_t |
| 250 | tosa_run_reduce_all(tosa_tensor_t client_input, const int32_t client_axis, tosa_tensor_t client_output); |
| 251 | |
| 252 | tosa_status_t |
| 253 | tosa_run_reduce_any(tosa_tensor_t client_input, const int32_t client_axis, tosa_tensor_t client_output); |
| 254 | |
| 255 | tosa_status_t |
| 256 | tosa_run_reduce_max(tosa_tensor_t client_input, const int32_t client_axis, tosa_tensor_t client_output); |
| 257 | |
| 258 | tosa_status_t |
| 259 | tosa_run_reduce_min(tosa_tensor_t client_input, const int32_t client_axis, tosa_tensor_t client_output); |
| 260 | |
| 261 | tosa_status_t |
| 262 | tosa_run_reduce_product(tosa_tensor_t client_input, const int32_t client_axis, tosa_tensor_t client_output); |
| 263 | |
| 264 | tosa_status_t |
| 265 | tosa_run_reduce_sum(tosa_tensor_t client_input, const int32_t client_axis, tosa_tensor_t client_output); |
| 266 | |
| 267 | tosa_status_t tosa_run_concat(tosa_tensor_t client_input1, const int32_t client_axis, tosa_tensor_t client_output); |
| 268 | |
| 269 | tosa_status_t tosa_run_pad(tosa_tensor_t client_input1, |
| 270 | const int32_t client_padding_len, |
| 271 | const int32_t client_padding[], |
| 272 | const int32_t client_pad_const_int, |
| 273 | const float client_pad_const_fp, |
| 274 | tosa_tensor_t client_output); |
| 275 | |
| 276 | tosa_status_t tosa_run_reshape(tosa_tensor_t client_input1, |
| 277 | const int32_t client_new_shape_len, |
| 278 | const int32_t client_new_shape[], |
| 279 | tosa_tensor_t client_output); |
| 280 | |
| 281 | tosa_status_t tosa_run_reverse(tosa_tensor_t client_input, const int32_t client_axis, tosa_tensor_t client_output); |
| 282 | |
| 283 | tosa_status_t tosa_run_slice(tosa_tensor_t client_input1, |
| 284 | const int32_t client_start_len, |
| 285 | const int32_t client_start[], |
| 286 | const int32_t client_size_len, |
| 287 | const int32_t client_size[], |
| 288 | tosa_tensor_t client_output); |
| 289 | |
| 290 | tosa_status_t tosa_run_tile(tosa_tensor_t client_input1, |
| 291 | const int32_t client_multiplies_len, |
| 292 | const int32_t client_multiplies[], |
| 293 | const int32_t client_multiples_len, |
| 294 | const int32_t client_multiples[], |
| 295 | tosa_tensor_t client_output); |
| 296 | |
| 297 | tosa_status_t tosa_run_transpose(tosa_tensor_t client_input1, |
| 298 | const int32_t client_perms_len, |
| 299 | const int32_t client_perms[], |
| 300 | tosa_tensor_t client_output); |
| 301 | |
| 302 | tosa_status_t |
| 303 | tosa_run_gather(tosa_tensor_t client_values, tosa_tensor_t client_indices, tosa_tensor_t client_output); |
| 304 | |
| 305 | tosa_status_t tosa_run_scatter(tosa_tensor_t client_values_in, |
| 306 | tosa_tensor_t client_indices, |
| 307 | tosa_tensor_t client_input, |
| 308 | tosa_tensor_t client_values_out); |
| 309 | |
| 310 | tosa_status_t tosa_run_resize(tosa_tensor_t client_input, |
| 311 | const int16_t client_scale[4], |
| 312 | const int16_t client_offset[2], |
| 313 | const int16_t client_border[2], |
| 314 | const tosa_mode_t client_mode, |
| 315 | tosa_tensor_t client_output); |
| 316 | |
| 317 | tosa_status_t tosa_run_cast(tosa_tensor_t client_input, tosa_tensor_t client_output); |
| 318 | |
| 319 | tosa_status_t tosa_run_rescale(tosa_tensor_t client_input, |
| 320 | tosa_tensor_t client_output, |
| 321 | const int32_t client_input_zp, |
| 322 | const int32_t client_output_zp, |
| 323 | const int32_t client_multiplier_len, |
| 324 | const int32_t client_multiplier[], |
| 325 | const int32_t client_shift_len, |
| 326 | const uint8_t client_shift[], |
| 327 | const bool client_scale32, |
| 328 | const bool client_double_round, |
| 329 | const bool client_per_channel); |
| 330 | |
| 331 | tosa_status_t tosa_run_identity(tosa_tensor_t client_input1, tosa_tensor_t client_output); |
| 332 | |
| 333 | #ifdef __cplusplus |
| 334 | } |
| 335 | #endif /* __cplusplus */ |
| 336 | |
| 337 | #endif // OPERATORS_H_ |