| 285 | } |
| 286 | |
| 287 | core::TensorValue graph_dense_encoder( |
| 288 | core::ModuleBuildContext & ctx, |
| 289 | const core::TensorValue & input, |
| 290 | const std::unordered_map<std::string, Param> & params) { |
| 291 | auto x = graph_conv2d( |
| 292 | ctx, |
| 293 | input, |
| 294 | params, |
| 295 | "dense_encoder.dense_conv_1.0.weight", |
| 296 | "dense_encoder.dense_conv_1.0.bias", |
| 297 | 0, |
| 298 | 0, |
| 299 | 1, |
| 300 | 1, |
| 301 | 1, |
| 302 | 1); |
| 303 | x = graph_instance_norm_prelu( |
| 304 | ctx, |
| 305 | x, |
| 306 | params, |
| 307 | "dense_encoder.dense_conv_1.1.weight", |
| 308 | "dense_encoder.dense_conv_1.1.bias", |
| 309 | "dense_encoder.dense_conv_1.2.weight"); |
| 310 | x = graph_dense_block(ctx, x, params, "dense_encoder.dense_block"); |
| 311 | x = graph_conv2d( |
| 312 | ctx, |
| 313 | x, |
| 314 | params, |
| 315 | "dense_encoder.dense_conv_2.0.weight", |
| 316 | "dense_encoder.dense_conv_2.0.bias", |
| 317 | 0, |
| 318 | 1, |
| 319 | 1, |
| 320 | 2, |
| 321 | 1, |
| 322 | 1); |
| 323 | return graph_instance_norm_prelu( |
| 324 | ctx, |
| 325 | x, |
| 326 | params, |
| 327 | "dense_encoder.dense_conv_2.1.weight", |
| 328 | "dense_encoder.dense_conv_2.1.bias", |
| 329 | "dense_encoder.dense_conv_2.2.weight"); |
| 330 | } |
| 331 | |
| 332 | std::vector<float> compact_rel_pos(int64_t seq_len) { |
| 333 | constexpr float kPi = 3.14159265358979323846f; |
no test coverage detected