openvino_model.xml
| 1 | <?xml version="1.0"?> |
| 2 | <net name="torch_jit" version="11"> |
| 3 | <layers> |
| 4 | <layer id="1" name="input_ids" type="Parameter" version="opset1"> |
| 5 | <data shape="?,?" element_type="i64" /> |
| 6 | <rt_info> |
| 7 | <attribute name="fused_names" version="0" value="input_ids" /> |
| 8 | </rt_info> |
| 9 | <output> |
| 10 | <port id="0" precision="I64" names="input_ids"> |
| 11 | <dim>-1</dim> |
| 12 | <dim>-1</dim> |
| 13 | </port> |
| 14 | </output> |
| 15 | </layer> |
| 16 | <layer id="0" name="attention_mask" type="Parameter" version="opset1"> |
| 17 | <data shape="?,?" element_type="i64" /> |
| 18 | <rt_info> |
| 19 | <attribute name="fused_names" version="0" value="attention_mask" /> |
| 20 | </rt_info> |
| 21 | <output> |
| 22 | <port id="0" precision="I64" names="attention_mask"> |
| 23 | <dim>-1</dim> |
| 24 | <dim>-1</dim> |
| 25 | </port> |
| 26 | </output> |
| 27 | </layer> |
| 28 | <layer id="2" name="qa_outputs.bias" type="Const" version="opset1"> |
| 29 | <data element_type="f32" shape="2" offset="0" size="8" /> |
| 30 | <rt_info> |
| 31 | <attribute name="fused_names" version="0" value="qa_outputs.bias" /> |
| 32 | </rt_info> |
| 33 | <output> |
| 34 | <port id="0" precision="FP32" names="qa_outputs.bias"> |
| 35 | <dim>2</dim> |
| 36 | </port> |
| 37 | </output> |
| 38 | </layer> |
| 39 | <layer id="3" name="distilbert.transformer.layer.5.ffn.lin2.bias" type="Const" version="opset1"> |
| 40 | <data element_type="f32" shape="768" offset="8" size="3072" /> |
| 41 | <rt_info> |
| 42 | <attribute name="fused_names" version="0" value="distilbert.transformer.layer.5.ffn.lin2.bias" /> |
| 43 | </rt_info> |
| 44 | <output> |
| 45 | <port id="0" precision="FP32" names="distilbert.transformer.layer.5.ffn.lin2.bias"> |
| 46 | <dim>768</dim> |
| 47 | </port> |
| 48 | </output> |
| 49 | </layer> |
| 50 | <layer id="4" name="distilbert.transformer.layer.5.ffn.lin1.bias" type="Const" version="opset1"> |
| 51 | <data element_type="f32" shape="3072" offset="3080" size="12288" /> |
| 52 | <rt_info> |
| 53 | <attribute name="fused_names" version="0" value="distilbert.transformer.layer.5.ffn.lin1.bias" /> |
| 54 | </rt_info> |
| 55 | <output> |
| 56 | <port id="0" precision="FP32" names="distilbert.transformer.layer.5.ffn.lin1.bias"> |
| 57 | <dim>3072</dim> |
| 58 | </port> |
| 59 | </output> |
| 60 | </layer> |
| 61 | <layer id="5" name="distilbert.transformer.layer.5.attention.out_lin.bias" type="Const" version="opset1"> |
| 62 | <data element_type="f32" shape="768" offset="15368" size="3072" /> |
| 63 | <rt_info> |
| 64 | <attribute name="fused_names" version="0" value="distilbert.transformer.layer.5.attention.out_lin.bias" /> |
| 65 | </rt_info> |
| 66 | <output> |
| 67 | <port id="0" precision="FP32" names="distilbert.transformer.layer.5.attention.out_lin.bias"> |
| 68 | <dim>768</dim> |
| 69 | </port> |
| 70 | </output> |
| 71 | </layer> |
| 72 | <layer id="6" name="/distilbert/transformer/layer.0/attention/Constant_12" type="Const" version="opset1"> |
| 73 | <data element_type="i64" shape="" offset="18440" size="8" /> |
| 74 | <rt_info> |
| 75 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.0/attention/Constant_12" /> |
| 76 | </rt_info> |
| 77 | <output> |
| 78 | <port id="0" precision="I64" names="/distilbert/transformer/layer.0/attention/Constant_12_output_0" /> |
| 79 | </output> |
| 80 | </layer> |
| 81 | <layer id="7" name="/distilbert/transformer/layer.0/attention/Equal" type="Equal" version="opset1"> |
| 82 | <data auto_broadcast="numpy" /> |
| 83 | <rt_info> |
| 84 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.0/attention/Equal" /> |
| 85 | </rt_info> |
| 86 | <input> |
| 87 | <port id="0" precision="I64"> |
| 88 | <dim>-1</dim> |
| 89 | <dim>-1</dim> |
| 90 | </port> |
| 91 | <port id="1" precision="I64" /> |
| 92 | </input> |
| 93 | <output> |
| 94 | <port id="2" precision="BOOL" names="/distilbert/transformer/layer.0/attention/Equal_output_0"> |
| 95 | <dim>-1</dim> |
| 96 | <dim>-1</dim> |
| 97 | </port> |
| 98 | </output> |
| 99 | </layer> |
| 100 | <layer id="8" name="distilbert.transformer.layer.4.ffn.lin2.bias" type="Const" version="opset1"> |
| 101 | <data element_type="f32" shape="768" offset="18448" size="3072" /> |
| 102 | <rt_info> |
| 103 | <attribute name="fused_names" version="0" value="distilbert.transformer.layer.4.ffn.lin2.bias" /> |
| 104 | </rt_info> |
| 105 | <output> |
| 106 | <port id="0" precision="FP32" names="distilbert.transformer.layer.4.ffn.lin2.bias"> |
| 107 | <dim>768</dim> |
| 108 | </port> |
| 109 | </output> |
| 110 | </layer> |
| 111 | <layer id="9" name="distilbert.transformer.layer.4.ffn.lin1.bias" type="Const" version="opset1"> |
| 112 | <data element_type="f32" shape="3072" offset="21520" size="12288" /> |
| 113 | <rt_info> |
| 114 | <attribute name="fused_names" version="0" value="distilbert.transformer.layer.4.ffn.lin1.bias" /> |
| 115 | </rt_info> |
| 116 | <output> |
| 117 | <port id="0" precision="FP32" names="distilbert.transformer.layer.4.ffn.lin1.bias"> |
| 118 | <dim>3072</dim> |
| 119 | </port> |
| 120 | </output> |
| 121 | </layer> |
| 122 | <layer id="10" name="distilbert.transformer.layer.4.attention.out_lin.bias" type="Const" version="opset1"> |
| 123 | <data element_type="f32" shape="768" offset="33808" size="3072" /> |
| 124 | <rt_info> |
| 125 | <attribute name="fused_names" version="0" value="distilbert.transformer.layer.4.attention.out_lin.bias" /> |
| 126 | </rt_info> |
| 127 | <output> |
| 128 | <port id="0" precision="FP32" names="distilbert.transformer.layer.4.attention.out_lin.bias"> |
| 129 | <dim>768</dim> |
| 130 | </port> |
| 131 | </output> |
| 132 | </layer> |
| 133 | <layer id="11" name="distilbert.transformer.layer.3.ffn.lin2.bias" type="Const" version="opset1"> |
| 134 | <data element_type="f32" shape="768" offset="36880" size="3072" /> |
| 135 | <rt_info> |
| 136 | <attribute name="fused_names" version="0" value="distilbert.transformer.layer.3.ffn.lin2.bias" /> |
| 137 | </rt_info> |
| 138 | <output> |
| 139 | <port id="0" precision="FP32" names="distilbert.transformer.layer.3.ffn.lin2.bias"> |
| 140 | <dim>768</dim> |
| 141 | </port> |
| 142 | </output> |
| 143 | </layer> |
| 144 | <layer id="12" name="distilbert.transformer.layer.3.ffn.lin1.bias" type="Const" version="opset1"> |
| 145 | <data element_type="f32" shape="3072" offset="39952" size="12288" /> |
| 146 | <rt_info> |
| 147 | <attribute name="fused_names" version="0" value="distilbert.transformer.layer.3.ffn.lin1.bias" /> |
| 148 | </rt_info> |
| 149 | <output> |
| 150 | <port id="0" precision="FP32" names="distilbert.transformer.layer.3.ffn.lin1.bias"> |
| 151 | <dim>3072</dim> |
| 152 | </port> |
| 153 | </output> |
| 154 | </layer> |
| 155 | <layer id="13" name="distilbert.transformer.layer.3.attention.out_lin.bias" type="Const" version="opset1"> |
| 156 | <data element_type="f32" shape="768" offset="52240" size="3072" /> |
| 157 | <rt_info> |
| 158 | <attribute name="fused_names" version="0" value="distilbert.transformer.layer.3.attention.out_lin.bias" /> |
| 159 | </rt_info> |
| 160 | <output> |
| 161 | <port id="0" precision="FP32" names="distilbert.transformer.layer.3.attention.out_lin.bias"> |
| 162 | <dim>768</dim> |
| 163 | </port> |
| 164 | </output> |
| 165 | </layer> |
| 166 | <layer id="14" name="distilbert.transformer.layer.2.ffn.lin2.bias" type="Const" version="opset1"> |
| 167 | <data element_type="f32" shape="768" offset="55312" size="3072" /> |
| 168 | <rt_info> |
| 169 | <attribute name="fused_names" version="0" value="distilbert.transformer.layer.2.ffn.lin2.bias" /> |
| 170 | </rt_info> |
| 171 | <output> |
| 172 | <port id="0" precision="FP32" names="distilbert.transformer.layer.2.ffn.lin2.bias"> |
| 173 | <dim>768</dim> |
| 174 | </port> |
| 175 | </output> |
| 176 | </layer> |
| 177 | <layer id="15" name="distilbert.transformer.layer.2.ffn.lin1.bias" type="Const" version="opset1"> |
| 178 | <data element_type="f32" shape="3072" offset="58384" size="12288" /> |
| 179 | <rt_info> |
| 180 | <attribute name="fused_names" version="0" value="distilbert.transformer.layer.2.ffn.lin1.bias" /> |
| 181 | </rt_info> |
| 182 | <output> |
| 183 | <port id="0" precision="FP32" names="distilbert.transformer.layer.2.ffn.lin1.bias"> |
| 184 | <dim>3072</dim> |
| 185 | </port> |
| 186 | </output> |
| 187 | </layer> |
| 188 | <layer id="16" name="distilbert.transformer.layer.2.attention.out_lin.bias" type="Const" version="opset1"> |
| 189 | <data element_type="f32" shape="768" offset="70672" size="3072" /> |
| 190 | <rt_info> |
| 191 | <attribute name="fused_names" version="0" value="distilbert.transformer.layer.2.attention.out_lin.bias" /> |
| 192 | </rt_info> |
| 193 | <output> |
| 194 | <port id="0" precision="FP32" names="distilbert.transformer.layer.2.attention.out_lin.bias"> |
| 195 | <dim>768</dim> |
| 196 | </port> |
| 197 | </output> |
| 198 | </layer> |
| 199 | <layer id="17" name="distilbert.transformer.layer.1.ffn.lin2.bias" type="Const" version="opset1"> |
| 200 | <data element_type="f32" shape="768" offset="73744" size="3072" /> |
| 201 | <rt_info> |
| 202 | <attribute name="fused_names" version="0" value="distilbert.transformer.layer.1.ffn.lin2.bias" /> |
| 203 | </rt_info> |
| 204 | <output> |
| 205 | <port id="0" precision="FP32" names="distilbert.transformer.layer.1.ffn.lin2.bias"> |
| 206 | <dim>768</dim> |
| 207 | </port> |
| 208 | </output> |
| 209 | </layer> |
| 210 | <layer id="18" name="distilbert.transformer.layer.1.ffn.lin1.bias" type="Const" version="opset1"> |
| 211 | <data element_type="f32" shape="3072" offset="76816" size="12288" /> |
| 212 | <rt_info> |
| 213 | <attribute name="fused_names" version="0" value="distilbert.transformer.layer.1.ffn.lin1.bias" /> |
| 214 | </rt_info> |
| 215 | <output> |
| 216 | <port id="0" precision="FP32" names="distilbert.transformer.layer.1.ffn.lin1.bias"> |
| 217 | <dim>3072</dim> |
| 218 | </port> |
| 219 | </output> |
| 220 | </layer> |
| 221 | <layer id="19" name="distilbert.transformer.layer.1.attention.out_lin.bias" type="Const" version="opset1"> |
| 222 | <data element_type="f32" shape="768" offset="89104" size="3072" /> |
| 223 | <rt_info> |
| 224 | <attribute name="fused_names" version="0" value="distilbert.transformer.layer.1.attention.out_lin.bias" /> |
| 225 | </rt_info> |
| 226 | <output> |
| 227 | <port id="0" precision="FP32" names="distilbert.transformer.layer.1.attention.out_lin.bias"> |
| 228 | <dim>768</dim> |
| 229 | </port> |
| 230 | </output> |
| 231 | </layer> |
| 232 | <layer id="20" name="distilbert.transformer.layer.0.ffn.lin2.bias" type="Const" version="opset1"> |
| 233 | <data element_type="f32" shape="768" offset="92176" size="3072" /> |
| 234 | <rt_info> |
| 235 | <attribute name="fused_names" version="0" value="distilbert.transformer.layer.0.ffn.lin2.bias" /> |
| 236 | </rt_info> |
| 237 | <output> |
| 238 | <port id="0" precision="FP32" names="distilbert.transformer.layer.0.ffn.lin2.bias"> |
| 239 | <dim>768</dim> |
| 240 | </port> |
| 241 | </output> |
| 242 | </layer> |
| 243 | <layer id="21" name="distilbert.transformer.layer.0.ffn.lin1.bias" type="Const" version="opset1"> |
| 244 | <data element_type="f32" shape="3072" offset="95248" size="12288" /> |
| 245 | <rt_info> |
| 246 | <attribute name="fused_names" version="0" value="distilbert.transformer.layer.0.ffn.lin1.bias" /> |
| 247 | </rt_info> |
| 248 | <output> |
| 249 | <port id="0" precision="FP32" names="distilbert.transformer.layer.0.ffn.lin1.bias"> |
| 250 | <dim>3072</dim> |
| 251 | </port> |
| 252 | </output> |
| 253 | </layer> |
| 254 | <layer id="22" name="distilbert.transformer.layer.0.attention.out_lin.bias" type="Const" version="opset1"> |
| 255 | <data element_type="f32" shape="768" offset="107536" size="3072" /> |
| 256 | <rt_info> |
| 257 | <attribute name="fused_names" version="0" value="distilbert.transformer.layer.0.attention.out_lin.bias" /> |
| 258 | </rt_info> |
| 259 | <output> |
| 260 | <port id="0" precision="FP32" names="distilbert.transformer.layer.0.attention.out_lin.bias"> |
| 261 | <dim>768</dim> |
| 262 | </port> |
| 263 | </output> |
| 264 | </layer> |
| 265 | <layer id="23" name="distilbert.embeddings.word_embeddings.weight" type="Const" version="opset1"> |
| 266 | <data element_type="f32" shape="28996, 768" offset="110608" size="89075712" /> |
| 267 | <rt_info> |
| 268 | <attribute name="fused_names" version="0" value="distilbert.embeddings.word_embeddings.weight" /> |
| 269 | </rt_info> |
| 270 | <output> |
| 271 | <port id="0" precision="FP32" names="distilbert.embeddings.word_embeddings.weight"> |
| 272 | <dim>28996</dim> |
| 273 | <dim>768</dim> |
| 274 | </port> |
| 275 | </output> |
| 276 | </layer> |
| 277 | <layer id="24" name="Constant_255188" type="Const" version="opset1"> |
| 278 | <data element_type="i64" shape="" offset="18440" size="8" /> |
| 279 | <rt_info> |
| 280 | <attribute name="fused_names" version="0" value="Constant_255188" /> |
| 281 | </rt_info> |
| 282 | <output> |
| 283 | <port id="0" precision="I64" /> |
| 284 | </output> |
| 285 | </layer> |
| 286 | <layer id="25" name="/distilbert/embeddings/word_embeddings/Gather" type="Gather" version="opset8"> |
| 287 | <data batch_dims="0" /> |
| 288 | <rt_info> |
| 289 | <attribute name="fused_names" version="0" value="/distilbert/embeddings/word_embeddings/Gather" /> |
| 290 | </rt_info> |
| 291 | <input> |
| 292 | <port id="0" precision="FP32"> |
| 293 | <dim>28996</dim> |
| 294 | <dim>768</dim> |
| 295 | </port> |
| 296 | <port id="1" precision="I64"> |
| 297 | <dim>-1</dim> |
| 298 | <dim>-1</dim> |
| 299 | </port> |
| 300 | <port id="2" precision="I64" /> |
| 301 | </input> |
| 302 | <output> |
| 303 | <port id="3" precision="FP32" names="/distilbert/embeddings/word_embeddings/Gather_output_0"> |
| 304 | <dim>-1</dim> |
| 305 | <dim>-1</dim> |
| 306 | <dim>768</dim> |
| 307 | </port> |
| 308 | </output> |
| 309 | </layer> |
| 310 | <layer id="26" name="distilbert.embeddings.position_embeddings.weight" type="Const" version="opset1"> |
| 311 | <data element_type="f32" shape="512, 768" offset="89186320" size="1572864" /> |
| 312 | <rt_info> |
| 313 | <attribute name="fused_names" version="0" value="distilbert.embeddings.position_embeddings.weight" /> |
| 314 | </rt_info> |
| 315 | <output> |
| 316 | <port id="0" precision="FP32" names="distilbert.embeddings.position_embeddings.weight"> |
| 317 | <dim>512</dim> |
| 318 | <dim>768</dim> |
| 319 | </port> |
| 320 | </output> |
| 321 | </layer> |
| 322 | <layer id="27" name="Constant_4" type="Const" version="opset1"> |
| 323 | <data element_type="i64" shape="1, 512" offset="90759184" size="4096" /> |
| 324 | <rt_info> |
| 325 | <attribute name="fused_names" version="0" value="Constant_4" /> |
| 326 | </rt_info> |
| 327 | <output> |
| 328 | <port id="0" precision="I64" names="onnx::Slice_110"> |
| 329 | <dim>1</dim> |
| 330 | <dim>512</dim> |
| 331 | </port> |
| 332 | </output> |
| 333 | </layer> |
| 334 | <layer id="28" name="/distilbert/embeddings/Constant_1" type="Const" version="opset1"> |
| 335 | <data element_type="i64" shape="1" offset="18440" size="8" /> |
| 336 | <rt_info> |
| 337 | <attribute name="fused_names" version="0" value="/distilbert/embeddings/Constant_1" /> |
| 338 | </rt_info> |
| 339 | <output> |
| 340 | <port id="0" precision="I64" names="/distilbert/embeddings/Constant_1_output_0"> |
| 341 | <dim>1</dim> |
| 342 | </port> |
| 343 | </output> |
| 344 | </layer> |
| 345 | <layer id="29" name="/distilbert/embeddings/Shape" type="ShapeOf" version="opset3"> |
| 346 | <data output_type="i64" /> |
| 347 | <rt_info> |
| 348 | <attribute name="fused_names" version="0" value="/distilbert/embeddings/Shape" /> |
| 349 | </rt_info> |
| 350 | <input> |
| 351 | <port id="0" precision="FP32"> |
| 352 | <dim>-1</dim> |
| 353 | <dim>-1</dim> |
| 354 | <dim>768</dim> |
| 355 | </port> |
| 356 | </input> |
| 357 | <output> |
| 358 | <port id="1" precision="I64" names="/distilbert/embeddings/Shape_output_0"> |
| 359 | <dim>3</dim> |
| 360 | </port> |
| 361 | </output> |
| 362 | </layer> |
| 363 | <layer id="30" name="/distilbert/embeddings/Constant" type="Const" version="opset1"> |
| 364 | <data element_type="i64" shape="" offset="90763280" size="8" /> |
| 365 | <rt_info> |
| 366 | <attribute name="fused_names" version="0" value="/distilbert/embeddings/Constant" /> |
| 367 | </rt_info> |
| 368 | <output> |
| 369 | <port id="0" precision="I64" names="/distilbert/embeddings/Constant_output_0" /> |
| 370 | </output> |
| 371 | </layer> |
| 372 | <layer id="31" name="Constant_255192" type="Const" version="opset1"> |
| 373 | <data element_type="i64" shape="" offset="18440" size="8" /> |
| 374 | <rt_info> |
| 375 | <attribute name="fused_names" version="0" value="Constant_255192" /> |
| 376 | </rt_info> |
| 377 | <output> |
| 378 | <port id="0" precision="I64" /> |
| 379 | </output> |
| 380 | </layer> |
| 381 | <layer id="32" name="/distilbert/embeddings/Gather" type="Gather" version="opset8"> |
| 382 | <data batch_dims="0" /> |
| 383 | <rt_info> |
| 384 | <attribute name="fused_names" version="0" value="/distilbert/embeddings/Constant, /distilbert/embeddings/Gather, Constant_255192" /> |
| 385 | </rt_info> |
| 386 | <input> |
| 387 | <port id="0" precision="I64"> |
| 388 | <dim>3</dim> |
| 389 | </port> |
| 390 | <port id="1" precision="I64" /> |
| 391 | <port id="2" precision="I64" /> |
| 392 | </input> |
| 393 | <output> |
| 394 | <port id="3" precision="I64" names="/distilbert/embeddings/Gather_output_0" /> |
| 395 | </output> |
| 396 | </layer> |
| 397 | <layer id="33" name="Constant_255196" type="Const" version="opset1"> |
| 398 | <data element_type="i64" shape="1" offset="18440" size="8" /> |
| 399 | <rt_info> |
| 400 | <attribute name="fused_names" version="0" value="Constant_255196" /> |
| 401 | </rt_info> |
| 402 | <output> |
| 403 | <port id="0" precision="I64"> |
| 404 | <dim>1</dim> |
| 405 | </port> |
| 406 | </output> |
| 407 | </layer> |
| 408 | <layer id="34" name="/distilbert/embeddings/Unsqueeze" type="Unsqueeze" version="opset1"> |
| 409 | <rt_info> |
| 410 | <attribute name="fused_names" version="0" value="/distilbert/embeddings/Unsqueeze, Constant_255196" /> |
| 411 | </rt_info> |
| 412 | <input> |
| 413 | <port id="0" precision="I64" /> |
| 414 | <port id="1" precision="I64"> |
| 415 | <dim>1</dim> |
| 416 | </port> |
| 417 | </input> |
| 418 | <output> |
| 419 | <port id="2" precision="I64" names="/distilbert/embeddings/Unsqueeze_output_0"> |
| 420 | <dim>1</dim> |
| 421 | </port> |
| 422 | </output> |
| 423 | </layer> |
| 424 | <layer id="35" name="/distilbert/embeddings/Constant_3" type="Const" version="opset1"> |
| 425 | <data element_type="i64" shape="1" offset="90763280" size="8" /> |
| 426 | <rt_info> |
| 427 | <attribute name="fused_names" version="0" value="/distilbert/embeddings/Constant_3" /> |
| 428 | </rt_info> |
| 429 | <output> |
| 430 | <port id="0" precision="I64" names="/distilbert/embeddings/Constant_3_output_0"> |
| 431 | <dim>1</dim> |
| 432 | </port> |
| 433 | </output> |
| 434 | </layer> |
| 435 | <layer id="36" name="/distilbert/embeddings/Constant_2" type="Const" version="opset1"> |
| 436 | <data element_type="i64" shape="1" offset="90763280" size="8" /> |
| 437 | <rt_info> |
| 438 | <attribute name="fused_names" version="0" value="/distilbert/embeddings/Constant_2" /> |
| 439 | </rt_info> |
| 440 | <output> |
| 441 | <port id="0" precision="I64" names="/distilbert/embeddings/Constant_2_output_0"> |
| 442 | <dim>1</dim> |
| 443 | </port> |
| 444 | </output> |
| 445 | </layer> |
| 446 | <layer id="37" name="/distilbert/embeddings/Slice" type="Slice" version="opset8"> |
| 447 | <rt_info> |
| 448 | <attribute name="fused_names" version="0" value="/distilbert/embeddings/Slice" /> |
| 449 | </rt_info> |
| 450 | <input> |
| 451 | <port id="0" precision="I64"> |
| 452 | <dim>1</dim> |
| 453 | <dim>512</dim> |
| 454 | </port> |
| 455 | <port id="1" precision="I64"> |
| 456 | <dim>1</dim> |
| 457 | </port> |
| 458 | <port id="2" precision="I64"> |
| 459 | <dim>1</dim> |
| 460 | </port> |
| 461 | <port id="3" precision="I64"> |
| 462 | <dim>1</dim> |
| 463 | </port> |
| 464 | <port id="4" precision="I64"> |
| 465 | <dim>1</dim> |
| 466 | </port> |
| 467 | </input> |
| 468 | <output> |
| 469 | <port id="5" precision="I64" names="/distilbert/embeddings/Slice_output_0"> |
| 470 | <dim>1</dim> |
| 471 | <dim>-1</dim> |
| 472 | </port> |
| 473 | </output> |
| 474 | </layer> |
| 475 | <layer id="38" name="Constant_255207" type="Const" version="opset1"> |
| 476 | <data element_type="i64" shape="" offset="18440" size="8" /> |
| 477 | <rt_info> |
| 478 | <attribute name="fused_names" version="0" value="Constant_255207" /> |
| 479 | </rt_info> |
| 480 | <output> |
| 481 | <port id="0" precision="I64" /> |
| 482 | </output> |
| 483 | </layer> |
| 484 | <layer id="39" name="/distilbert/embeddings/position_embeddings/Gather" type="Gather" version="opset8"> |
| 485 | <data batch_dims="0" /> |
| 486 | <rt_info> |
| 487 | <attribute name="fused_names" version="0" value="/distilbert/embeddings/position_embeddings/Gather" /> |
| 488 | </rt_info> |
| 489 | <input> |
| 490 | <port id="0" precision="FP32"> |
| 491 | <dim>512</dim> |
| 492 | <dim>768</dim> |
| 493 | </port> |
| 494 | <port id="1" precision="I64"> |
| 495 | <dim>1</dim> |
| 496 | <dim>-1</dim> |
| 497 | </port> |
| 498 | <port id="2" precision="I64" /> |
| 499 | </input> |
| 500 | <output> |
| 501 | <port id="3" precision="FP32" names="/distilbert/embeddings/position_embeddings/Gather_output_0"> |
| 502 | <dim>1</dim> |
| 503 | <dim>-1</dim> |
| 504 | <dim>768</dim> |
| 505 | </port> |
| 506 | </output> |
| 507 | </layer> |
| 508 | <layer id="40" name="/distilbert/embeddings/Add" type="Add" version="opset1"> |
| 509 | <data auto_broadcast="numpy" /> |
| 510 | <rt_info> |
| 511 | <attribute name="fused_names" version="0" value="/distilbert/embeddings/Add" /> |
| 512 | </rt_info> |
| 513 | <input> |
| 514 | <port id="0" precision="FP32"> |
| 515 | <dim>-1</dim> |
| 516 | <dim>-1</dim> |
| 517 | <dim>768</dim> |
| 518 | </port> |
| 519 | <port id="1" precision="FP32"> |
| 520 | <dim>1</dim> |
| 521 | <dim>-1</dim> |
| 522 | <dim>768</dim> |
| 523 | </port> |
| 524 | </input> |
| 525 | <output> |
| 526 | <port id="2" precision="FP32" names="/distilbert/embeddings/Add_output_0"> |
| 527 | <dim>-1</dim> |
| 528 | <dim>-1</dim> |
| 529 | <dim>768</dim> |
| 530 | </port> |
| 531 | </output> |
| 532 | </layer> |
| 533 | <layer id="41" name="Constant_255210" type="Const" version="opset1"> |
| 534 | <data element_type="i64" shape="1" offset="90763288" size="8" /> |
| 535 | <rt_info> |
| 536 | <attribute name="fused_names" version="0" value="Constant_255210" /> |
| 537 | </rt_info> |
| 538 | <output> |
| 539 | <port id="0" precision="I64"> |
| 540 | <dim>1</dim> |
| 541 | </port> |
| 542 | </output> |
| 543 | </layer> |
| 544 | <layer id="42" name="/distilbert/embeddings/LayerNorm/ReduceMean" type="ReduceMean" version="opset1"> |
| 545 | <data keep_dims="true" /> |
| 546 | <rt_info> |
| 547 | <attribute name="fused_names" version="0" value="/distilbert/embeddings/LayerNorm/ReduceMean" /> |
| 548 | </rt_info> |
| 549 | <input> |
| 550 | <port id="0" precision="FP32"> |
| 551 | <dim>-1</dim> |
| 552 | <dim>-1</dim> |
| 553 | <dim>768</dim> |
| 554 | </port> |
| 555 | <port id="1" precision="I64"> |
| 556 | <dim>1</dim> |
| 557 | </port> |
| 558 | </input> |
| 559 | <output> |
| 560 | <port id="2" precision="FP32" names="/distilbert/embeddings/LayerNorm/ReduceMean_output_0"> |
| 561 | <dim>-1</dim> |
| 562 | <dim>-1</dim> |
| 563 | <dim>1</dim> |
| 564 | </port> |
| 565 | </output> |
| 566 | </layer> |
| 567 | <layer id="43" name="/distilbert/embeddings/LayerNorm/Sub" type="Subtract" version="opset1"> |
| 568 | <data auto_broadcast="numpy" /> |
| 569 | <rt_info> |
| 570 | <attribute name="fused_names" version="0" value="/distilbert/embeddings/LayerNorm/Sub" /> |
| 571 | </rt_info> |
| 572 | <input> |
| 573 | <port id="0" precision="FP32"> |
| 574 | <dim>-1</dim> |
| 575 | <dim>-1</dim> |
| 576 | <dim>768</dim> |
| 577 | </port> |
| 578 | <port id="1" precision="FP32"> |
| 579 | <dim>-1</dim> |
| 580 | <dim>-1</dim> |
| 581 | <dim>1</dim> |
| 582 | </port> |
| 583 | </input> |
| 584 | <output> |
| 585 | <port id="2" precision="FP32" names="/distilbert/embeddings/LayerNorm/Sub_output_0"> |
| 586 | <dim>-1</dim> |
| 587 | <dim>-1</dim> |
| 588 | <dim>768</dim> |
| 589 | </port> |
| 590 | </output> |
| 591 | </layer> |
| 592 | <layer id="44" name="/distilbert/embeddings/LayerNorm/Constant" type="Const" version="opset1"> |
| 593 | <data element_type="f32" shape="" offset="90763296" size="4" /> |
| 594 | <rt_info> |
| 595 | <attribute name="fused_names" version="0" value="/distilbert/embeddings/LayerNorm/Constant" /> |
| 596 | </rt_info> |
| 597 | <output> |
| 598 | <port id="0" precision="FP32" names="/distilbert/embeddings/LayerNorm/Constant_output_0" /> |
| 599 | </output> |
| 600 | </layer> |
| 601 | <layer id="45" name="/distilbert/embeddings/LayerNorm/Pow" type="Power" version="opset1"> |
| 602 | <data auto_broadcast="numpy" /> |
| 603 | <rt_info> |
| 604 | <attribute name="fused_names" version="0" value="/distilbert/embeddings/LayerNorm/Pow" /> |
| 605 | </rt_info> |
| 606 | <input> |
| 607 | <port id="0" precision="FP32"> |
| 608 | <dim>-1</dim> |
| 609 | <dim>-1</dim> |
| 610 | <dim>768</dim> |
| 611 | </port> |
| 612 | <port id="1" precision="FP32" /> |
| 613 | </input> |
| 614 | <output> |
| 615 | <port id="2" precision="FP32" names="/distilbert/embeddings/LayerNorm/Pow_output_0"> |
| 616 | <dim>-1</dim> |
| 617 | <dim>-1</dim> |
| 618 | <dim>768</dim> |
| 619 | </port> |
| 620 | </output> |
| 621 | </layer> |
| 622 | <layer id="46" name="Constant_255215" type="Const" version="opset1"> |
| 623 | <data element_type="i64" shape="1" offset="90763288" size="8" /> |
| 624 | <rt_info> |
| 625 | <attribute name="fused_names" version="0" value="Constant_255215" /> |
| 626 | </rt_info> |
| 627 | <output> |
| 628 | <port id="0" precision="I64"> |
| 629 | <dim>1</dim> |
| 630 | </port> |
| 631 | </output> |
| 632 | </layer> |
| 633 | <layer id="47" name="/distilbert/embeddings/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1"> |
| 634 | <data keep_dims="true" /> |
| 635 | <rt_info> |
| 636 | <attribute name="fused_names" version="0" value="/distilbert/embeddings/LayerNorm/ReduceMean_1" /> |
| 637 | </rt_info> |
| 638 | <input> |
| 639 | <port id="0" precision="FP32"> |
| 640 | <dim>-1</dim> |
| 641 | <dim>-1</dim> |
| 642 | <dim>768</dim> |
| 643 | </port> |
| 644 | <port id="1" precision="I64"> |
| 645 | <dim>1</dim> |
| 646 | </port> |
| 647 | </input> |
| 648 | <output> |
| 649 | <port id="2" precision="FP32" names="/distilbert/embeddings/LayerNorm/ReduceMean_1_output_0"> |
| 650 | <dim>-1</dim> |
| 651 | <dim>-1</dim> |
| 652 | <dim>1</dim> |
| 653 | </port> |
| 654 | </output> |
| 655 | </layer> |
| 656 | <layer id="48" name="/distilbert/embeddings/LayerNorm/Constant_1" type="Const" version="opset1"> |
| 657 | <data element_type="f32" shape="" offset="90763300" size="4" /> |
| 658 | <rt_info> |
| 659 | <attribute name="fused_names" version="0" value="/distilbert/embeddings/LayerNorm/Constant_1" /> |
| 660 | </rt_info> |
| 661 | <output> |
| 662 | <port id="0" precision="FP32" names="/distilbert/embeddings/LayerNorm/Constant_1_output_0" /> |
| 663 | </output> |
| 664 | </layer> |
| 665 | <layer id="49" name="/distilbert/embeddings/LayerNorm/Add" type="Add" version="opset1"> |
| 666 | <data auto_broadcast="numpy" /> |
| 667 | <rt_info> |
| 668 | <attribute name="fused_names" version="0" value="/distilbert/embeddings/LayerNorm/Add" /> |
| 669 | </rt_info> |
| 670 | <input> |
| 671 | <port id="0" precision="FP32"> |
| 672 | <dim>-1</dim> |
| 673 | <dim>-1</dim> |
| 674 | <dim>1</dim> |
| 675 | </port> |
| 676 | <port id="1" precision="FP32" /> |
| 677 | </input> |
| 678 | <output> |
| 679 | <port id="2" precision="FP32" names="/distilbert/embeddings/LayerNorm/Add_output_0"> |
| 680 | <dim>-1</dim> |
| 681 | <dim>-1</dim> |
| 682 | <dim>1</dim> |
| 683 | </port> |
| 684 | </output> |
| 685 | </layer> |
| 686 | <layer id="50" name="/distilbert/embeddings/LayerNorm/Sqrt" type="Sqrt" version="opset1"> |
| 687 | <rt_info> |
| 688 | <attribute name="fused_names" version="0" value="/distilbert/embeddings/LayerNorm/Sqrt" /> |
| 689 | </rt_info> |
| 690 | <input> |
| 691 | <port id="0" precision="FP32"> |
| 692 | <dim>-1</dim> |
| 693 | <dim>-1</dim> |
| 694 | <dim>1</dim> |
| 695 | </port> |
| 696 | </input> |
| 697 | <output> |
| 698 | <port id="1" precision="FP32" names="/distilbert/embeddings/LayerNorm/Sqrt_output_0"> |
| 699 | <dim>-1</dim> |
| 700 | <dim>-1</dim> |
| 701 | <dim>1</dim> |
| 702 | </port> |
| 703 | </output> |
| 704 | </layer> |
| 705 | <layer id="51" name="/distilbert/embeddings/LayerNorm/Div" type="Divide" version="opset1"> |
| 706 | <data auto_broadcast="numpy" m_pythondiv="true" /> |
| 707 | <rt_info> |
| 708 | <attribute name="fused_names" version="0" value="/distilbert/embeddings/LayerNorm/Div" /> |
| 709 | </rt_info> |
| 710 | <input> |
| 711 | <port id="0" precision="FP32"> |
| 712 | <dim>-1</dim> |
| 713 | <dim>-1</dim> |
| 714 | <dim>768</dim> |
| 715 | </port> |
| 716 | <port id="1" precision="FP32"> |
| 717 | <dim>-1</dim> |
| 718 | <dim>-1</dim> |
| 719 | <dim>1</dim> |
| 720 | </port> |
| 721 | </input> |
| 722 | <output> |
| 723 | <port id="2" precision="FP32" names="/distilbert/embeddings/LayerNorm/Div_output_0"> |
| 724 | <dim>-1</dim> |
| 725 | <dim>-1</dim> |
| 726 | <dim>768</dim> |
| 727 | </port> |
| 728 | </output> |
| 729 | </layer> |
| 730 | <layer id="52" name="distilbert.embeddings.LayerNorm.weight" type="Const" version="opset1"> |
| 731 | <data element_type="f32" shape="768" offset="90763304" size="3072" /> |
| 732 | <rt_info> |
| 733 | <attribute name="fused_names" version="0" value="distilbert.embeddings.LayerNorm.weight" /> |
| 734 | </rt_info> |
| 735 | <output> |
| 736 | <port id="0" precision="FP32" names="distilbert.embeddings.LayerNorm.weight"> |
| 737 | <dim>768</dim> |
| 738 | </port> |
| 739 | </output> |
| 740 | </layer> |
| 741 | <layer id="53" name="/distilbert/embeddings/LayerNorm/Mul" type="Multiply" version="opset1"> |
| 742 | <data auto_broadcast="numpy" /> |
| 743 | <rt_info> |
| 744 | <attribute name="fused_names" version="0" value="/distilbert/embeddings/LayerNorm/Mul" /> |
| 745 | </rt_info> |
| 746 | <input> |
| 747 | <port id="0" precision="FP32"> |
| 748 | <dim>-1</dim> |
| 749 | <dim>-1</dim> |
| 750 | <dim>768</dim> |
| 751 | </port> |
| 752 | <port id="1" precision="FP32"> |
| 753 | <dim>768</dim> |
| 754 | </port> |
| 755 | </input> |
| 756 | <output> |
| 757 | <port id="2" precision="FP32" names="/distilbert/embeddings/LayerNorm/Mul_output_0"> |
| 758 | <dim>-1</dim> |
| 759 | <dim>-1</dim> |
| 760 | <dim>768</dim> |
| 761 | </port> |
| 762 | </output> |
| 763 | </layer> |
| 764 | <layer id="54" name="distilbert.embeddings.LayerNorm.bias" type="Const" version="opset1"> |
| 765 | <data element_type="f32" shape="768" offset="90766376" size="3072" /> |
| 766 | <rt_info> |
| 767 | <attribute name="fused_names" version="0" value="distilbert.embeddings.LayerNorm.bias" /> |
| 768 | </rt_info> |
| 769 | <output> |
| 770 | <port id="0" precision="FP32" names="distilbert.embeddings.LayerNorm.bias"> |
| 771 | <dim>768</dim> |
| 772 | </port> |
| 773 | </output> |
| 774 | </layer> |
| 775 | <layer id="55" name="/distilbert/embeddings/LayerNorm/Add_1" type="Add" version="opset1"> |
| 776 | <data auto_broadcast="numpy" /> |
| 777 | <rt_info> |
| 778 | <attribute name="fused_names" version="0" value="/distilbert/embeddings/LayerNorm/Add_1" /> |
| 779 | </rt_info> |
| 780 | <input> |
| 781 | <port id="0" precision="FP32"> |
| 782 | <dim>-1</dim> |
| 783 | <dim>-1</dim> |
| 784 | <dim>768</dim> |
| 785 | </port> |
| 786 | <port id="1" precision="FP32"> |
| 787 | <dim>768</dim> |
| 788 | </port> |
| 789 | </input> |
| 790 | <output> |
| 791 | <port id="2" precision="FP32" names="/distilbert/embeddings/LayerNorm/Add_1_output_0"> |
| 792 | <dim>-1</dim> |
| 793 | <dim>-1</dim> |
| 794 | <dim>768</dim> |
| 795 | </port> |
| 796 | </output> |
| 797 | </layer> |
| 798 | <layer id="56" name="/distilbert/transformer/layer.0/attention/Shape" type="ShapeOf" version="opset3"> |
| 799 | <data output_type="i64" /> |
| 800 | <rt_info> |
| 801 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.0/attention/Shape" /> |
| 802 | </rt_info> |
| 803 | <input> |
| 804 | <port id="0" precision="FP32"> |
| 805 | <dim>-1</dim> |
| 806 | <dim>-1</dim> |
| 807 | <dim>768</dim> |
| 808 | </port> |
| 809 | </input> |
| 810 | <output> |
| 811 | <port id="1" precision="I64" names="/distilbert/transformer/layer.0/attention/Shape_output_0"> |
| 812 | <dim>3</dim> |
| 813 | </port> |
| 814 | </output> |
| 815 | </layer> |
| 816 | <layer id="57" name="/distilbert/transformer/layer.0/attention/Constant" type="Const" version="opset1"> |
| 817 | <data element_type="i64" shape="" offset="18440" size="8" /> |
| 818 | <rt_info> |
| 819 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.0/attention/Constant" /> |
| 820 | </rt_info> |
| 821 | <output> |
| 822 | <port id="0" precision="I64" names="/distilbert/transformer/layer.0/attention/Constant_output_0" /> |
| 823 | </output> |
| 824 | </layer> |
| 825 | <layer id="58" name="Constant_255225" type="Const" version="opset1"> |
| 826 | <data element_type="i64" shape="" offset="18440" size="8" /> |
| 827 | <rt_info> |
| 828 | <attribute name="fused_names" version="0" value="Constant_255225" /> |
| 829 | </rt_info> |
| 830 | <output> |
| 831 | <port id="0" precision="I64" /> |
| 832 | </output> |
| 833 | </layer> |
| 834 | <layer id="59" name="/distilbert/transformer/layer.0/attention/Gather" type="Gather" version="opset8"> |
| 835 | <data batch_dims="0" /> |
| 836 | <rt_info> |
| 837 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.0/attention/Constant, /distilbert/transformer/layer.0/attention/Gather, Constant_255225" /> |
| 838 | </rt_info> |
| 839 | <input> |
| 840 | <port id="0" precision="I64"> |
| 841 | <dim>3</dim> |
| 842 | </port> |
| 843 | <port id="1" precision="I64" /> |
| 844 | <port id="2" precision="I64" /> |
| 845 | </input> |
| 846 | <output> |
| 847 | <port id="3" precision="I64" names="/distilbert/transformer/layer.0/attention/Gather_output_0" /> |
| 848 | </output> |
| 849 | </layer> |
| 850 | <layer id="60" name="Constant_255287" type="Const" version="opset1"> |
| 851 | <data element_type="i64" shape="1" offset="18440" size="8" /> |
| 852 | <rt_info> |
| 853 | <attribute name="fused_names" version="0" value="Constant_255287" /> |
| 854 | </rt_info> |
| 855 | <output> |
| 856 | <port id="0" precision="I64"> |
| 857 | <dim>1</dim> |
| 858 | </port> |
| 859 | </output> |
| 860 | </layer> |
| 861 | <layer id="61" name="/distilbert/transformer/layer.0/attention/Unsqueeze_3" type="Unsqueeze" version="opset1"> |
| 862 | <rt_info> |
| 863 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.0/attention/Unsqueeze_3, Constant_255287" /> |
| 864 | </rt_info> |
| 865 | <input> |
| 866 | <port id="0" precision="I64" /> |
| 867 | <port id="1" precision="I64"> |
| 868 | <dim>1</dim> |
| 869 | </port> |
| 870 | </input> |
| 871 | <output> |
| 872 | <port id="2" precision="I64" names="/distilbert/transformer/layer.0/attention/Unsqueeze_3_output_0"> |
| 873 | <dim>1</dim> |
| 874 | </port> |
| 875 | </output> |
| 876 | </layer> |
| 877 | <layer id="62" name="/distilbert/transformer/layer.0/attention/Constant_13" type="Const" version="opset1"> |
| 878 | <data element_type="i64" shape="1" offset="90763280" size="8" /> |
| 879 | <rt_info> |
| 880 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.0/attention/Constant_13" /> |
| 881 | </rt_info> |
| 882 | <output> |
| 883 | <port id="0" precision="I64" names="/distilbert/transformer/layer.0/attention/Constant_13_output_0"> |
| 884 | <dim>1</dim> |
| 885 | </port> |
| 886 | </output> |
| 887 | </layer> |
| 888 | <layer id="63" name="/distilbert/transformer/layer.0/attention/Constant_14" type="Const" version="opset1"> |
| 889 | <data element_type="i64" shape="1" offset="90763280" size="8" /> |
| 890 | <rt_info> |
| 891 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.0/attention/Constant_14" /> |
| 892 | </rt_info> |
| 893 | <output> |
| 894 | <port id="0" precision="I64" names="/distilbert/transformer/layer.0/attention/Constant_14_output_0"> |
| 895 | <dim>1</dim> |
| 896 | </port> |
| 897 | </output> |
| 898 | </layer> |
| 899 | <layer id="64" name="/distilbert/transformer/layer.0/attention/Shape_1" type="ShapeOf" version="opset3"> |
| 900 | <data output_type="i64" /> |
| 901 | <rt_info> |
| 902 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.0/attention/Shape_1" /> |
| 903 | </rt_info> |
| 904 | <input> |
| 905 | <port id="0" precision="FP32"> |
| 906 | <dim>-1</dim> |
| 907 | <dim>-1</dim> |
| 908 | <dim>768</dim> |
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| 910 | </input> |
| 911 | <output> |
| 912 | <port id="1" precision="I64" names="/distilbert/transformer/layer.0/attention/Shape_1_output_0"> |
| 913 | <dim>3</dim> |
| 914 | </port> |
| 915 | </output> |
| 916 | </layer> |
| 917 | <layer id="65" name="/distilbert/transformer/layer.0/attention/Constant_1" type="Const" version="opset1"> |
| 918 | <data element_type="i64" shape="" offset="90763280" size="8" /> |
| 919 | <rt_info> |
| 920 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.0/attention/Constant_1" /> |
| 921 | </rt_info> |
| 922 | <output> |
| 923 | <port id="0" precision="I64" names="/distilbert/transformer/layer.0/attention/Constant_1_output_0" /> |
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| 925 | </layer> |
| 926 | <layer id="66" name="Constant_255229" type="Const" version="opset1"> |
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| 1842 | <dim>4</dim> |
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| 1844 | </input> |
| 1845 | <output> |
| 1846 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.0/attention/Transpose_1_output_0"> |
| 1847 | <dim>-1</dim> |
| 1848 | <dim>12</dim> |
| 1849 | <dim>-1</dim> |
| 1850 | <dim>64</dim> |
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| 1852 | </output> |
| 1853 | </layer> |
| 1854 | <layer id="120" name="/distilbert/transformer/layer.0/attention/MatMul_1" type="MatMul" version="opset1"> |
| 1855 | <data transpose_a="false" transpose_b="false" /> |
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| 1857 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.0/attention/MatMul_1" /> |
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| 1860 | <port id="0" precision="FP32"> |
| 1861 | <dim>-1</dim> |
| 1862 | <dim>12</dim> |
| 1863 | <dim>-1</dim> |
| 1864 | <dim>-1</dim> |
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| 1866 | <port id="1" precision="FP32"> |
| 1867 | <dim>-1</dim> |
| 1868 | <dim>12</dim> |
| 1869 | <dim>-1</dim> |
| 1870 | <dim>64</dim> |
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| 1872 | </input> |
| 1873 | <output> |
| 1874 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.0/attention/MatMul_1_output_0"> |
| 1875 | <dim>-1</dim> |
| 1876 | <dim>12</dim> |
| 1877 | <dim>-1</dim> |
| 1878 | <dim>64</dim> |
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| 1882 | <layer id="121" name="Constant_255316" type="Const" version="opset1"> |
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| 1885 | <attribute name="fused_names" version="0" value="Constant_255316" /> |
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| 1887 | <output> |
| 1888 | <port id="0" precision="I64"> |
| 1889 | <dim>4</dim> |
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| 1891 | </output> |
| 1892 | </layer> |
| 1893 | <layer id="122" name="/distilbert/transformer/layer.0/attention/Transpose_3" type="Transpose" version="opset1"> |
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| 1895 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.0/attention/Transpose_3" /> |
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| 1897 | <input> |
| 1898 | <port id="0" precision="FP32"> |
| 1899 | <dim>-1</dim> |
| 1900 | <dim>12</dim> |
| 1901 | <dim>-1</dim> |
| 1902 | <dim>64</dim> |
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| 1904 | <port id="1" precision="I64"> |
| 1905 | <dim>4</dim> |
| 1906 | </port> |
| 1907 | </input> |
| 1908 | <output> |
| 1909 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.0/attention/Transpose_3_output_0"> |
| 1910 | <dim>-1</dim> |
| 1911 | <dim>-1</dim> |
| 1912 | <dim>12</dim> |
| 1913 | <dim>64</dim> |
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| 1915 | </output> |
| 1916 | </layer> |
| 1917 | <layer id="123" name="Constant_255318" type="Const" version="opset1"> |
| 1918 | <data element_type="i64" shape="1" offset="18440" size="8" /> |
| 1919 | <rt_info> |
| 1920 | <attribute name="fused_names" version="0" value="Constant_255318" /> |
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| 1922 | <output> |
| 1923 | <port id="0" precision="I64"> |
| 1924 | <dim>1</dim> |
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| 1926 | </output> |
| 1927 | </layer> |
| 1928 | <layer id="124" name="/distilbert/transformer/layer.0/attention/Unsqueeze_5" type="Unsqueeze" version="opset1"> |
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| 1930 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.0/attention/Unsqueeze_5, Constant_255318" /> |
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| 1932 | <input> |
| 1933 | <port id="0" precision="I64" /> |
| 1934 | <port id="1" precision="I64"> |
| 1935 | <dim>1</dim> |
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| 1937 | </input> |
| 1938 | <output> |
| 1939 | <port id="2" precision="I64" names="/distilbert/transformer/layer.0/attention/Unsqueeze_5_output_0"> |
| 1940 | <dim>1</dim> |
| 1941 | </port> |
| 1942 | </output> |
| 1943 | </layer> |
| 1944 | <layer id="125" name="/distilbert/transformer/layer.0/attention/Constant_16" type="Const" version="opset1"> |
| 1945 | <data element_type="i64" shape="1" offset="90763288" size="8" /> |
| 1946 | <rt_info> |
| 1947 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.0/attention/Constant_16" /> |
| 1948 | </rt_info> |
| 1949 | <output> |
| 1950 | <port id="0" precision="I64" names="/distilbert/transformer/layer.0/attention/Constant_16_output_0"> |
| 1951 | <dim>1</dim> |
| 1952 | </port> |
| 1953 | </output> |
| 1954 | </layer> |
| 1955 | <layer id="126" name="/distilbert/transformer/layer.0/attention/Constant_17" type="Const" version="opset1"> |
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| 1958 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.0/attention/Constant_17" /> |
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| 1960 | <output> |
| 1961 | <port id="0" precision="I64" names="/distilbert/transformer/layer.0/attention/Constant_17_output_0"> |
| 1962 | <dim>1</dim> |
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| 1964 | </output> |
| 1965 | </layer> |
| 1966 | <layer id="127" name="/distilbert/transformer/layer.0/attention/Concat_4" type="Concat" version="opset1"> |
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| 1971 | <input> |
| 1972 | <port id="0" precision="I64"> |
| 1973 | <dim>1</dim> |
| 1974 | </port> |
| 1975 | <port id="1" precision="I64"> |
| 1976 | <dim>1</dim> |
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| 1978 | <port id="2" precision="I64"> |
| 1979 | <dim>1</dim> |
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| 1981 | </input> |
| 1982 | <output> |
| 1983 | <port id="3" precision="I64" names="/distilbert/transformer/layer.0/attention/Concat_4_output_0"> |
| 1984 | <dim>3</dim> |
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| 1986 | </output> |
| 1987 | </layer> |
| 1988 | <layer id="128" name="/distilbert/transformer/layer.0/attention/Reshape_4" type="Reshape" version="opset1"> |
| 1989 | <data special_zero="true" /> |
| 1990 | <rt_info> |
| 1991 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.0/attention/Reshape_4" /> |
| 1992 | </rt_info> |
| 1993 | <input> |
| 1994 | <port id="0" precision="FP32"> |
| 1995 | <dim>-1</dim> |
| 1996 | <dim>-1</dim> |
| 1997 | <dim>12</dim> |
| 1998 | <dim>64</dim> |
| 1999 | </port> |
| 2000 | <port id="1" precision="I64"> |
| 2001 | <dim>3</dim> |
| 2002 | </port> |
| 2003 | </input> |
| 2004 | <output> |
| 2005 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.0/attention/Reshape_4_output_0"> |
| 2006 | <dim>-1</dim> |
| 2007 | <dim>-1</dim> |
| 2008 | <dim>768</dim> |
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| 2010 | </output> |
| 2011 | </layer> |
| 2012 | <layer id="129" name="onnx::MatMul_754" type="Const" version="opset1"> |
| 2013 | <data element_type="f32" shape="768, 768" offset="97856648" size="2359296" /> |
| 2014 | <rt_info> |
| 2015 | <attribute name="fused_names" version="0" value="onnx::MatMul_754" /> |
| 2016 | </rt_info> |
| 2017 | <output> |
| 2018 | <port id="0" precision="FP32" names="onnx::MatMul_754"> |
| 2019 | <dim>768</dim> |
| 2020 | <dim>768</dim> |
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| 2022 | </output> |
| 2023 | </layer> |
| 2024 | <layer id="130" name="/distilbert/transformer/layer.0/attention/out_lin/MatMul" type="MatMul" version="opset1"> |
| 2025 | <data transpose_a="false" transpose_b="false" /> |
| 2026 | <rt_info> |
| 2027 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.0/attention/out_lin/MatMul" /> |
| 2028 | </rt_info> |
| 2029 | <input> |
| 2030 | <port id="0" precision="FP32"> |
| 2031 | <dim>-1</dim> |
| 2032 | <dim>-1</dim> |
| 2033 | <dim>768</dim> |
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| 2035 | <port id="1" precision="FP32"> |
| 2036 | <dim>768</dim> |
| 2037 | <dim>768</dim> |
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| 2039 | </input> |
| 2040 | <output> |
| 2041 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.0/attention/out_lin/MatMul_output_0"> |
| 2042 | <dim>-1</dim> |
| 2043 | <dim>-1</dim> |
| 2044 | <dim>768</dim> |
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| 2047 | </layer> |
| 2048 | <layer id="131" name="/distilbert/transformer/layer.0/attention/out_lin/Add" type="Add" version="opset1"> |
| 2049 | <data auto_broadcast="numpy" /> |
| 2050 | <rt_info> |
| 2051 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.0/attention/out_lin/Add" /> |
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| 2053 | <input> |
| 2054 | <port id="0" precision="FP32"> |
| 2055 | <dim>768</dim> |
| 2056 | </port> |
| 2057 | <port id="1" precision="FP32"> |
| 2058 | <dim>-1</dim> |
| 2059 | <dim>-1</dim> |
| 2060 | <dim>768</dim> |
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| 2062 | </input> |
| 2063 | <output> |
| 2064 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.0/attention/out_lin/Add_output_0"> |
| 2065 | <dim>-1</dim> |
| 2066 | <dim>-1</dim> |
| 2067 | <dim>768</dim> |
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| 2069 | </output> |
| 2070 | </layer> |
| 2071 | <layer id="132" name="/distilbert/transformer/layer.0/Add" type="Add" version="opset1"> |
| 2072 | <data auto_broadcast="numpy" /> |
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| 2074 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.0/Add" /> |
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| 2076 | <input> |
| 2077 | <port id="0" precision="FP32"> |
| 2078 | <dim>-1</dim> |
| 2079 | <dim>-1</dim> |
| 2080 | <dim>768</dim> |
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| 2082 | <port id="1" precision="FP32"> |
| 2083 | <dim>-1</dim> |
| 2084 | <dim>-1</dim> |
| 2085 | <dim>768</dim> |
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| 2087 | </input> |
| 2088 | <output> |
| 2089 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.0/Add_output_0"> |
| 2090 | <dim>-1</dim> |
| 2091 | <dim>-1</dim> |
| 2092 | <dim>768</dim> |
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| 2096 | <layer id="133" name="Constant_255333" type="Const" version="opset1"> |
| 2097 | <data element_type="i64" shape="1" offset="90763288" size="8" /> |
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| 2102 | <port id="0" precision="I64"> |
| 2103 | <dim>1</dim> |
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| 2106 | </layer> |
| 2107 | <layer id="134" name="/distilbert/transformer/layer.0/sa_layer_norm/ReduceMean" type="ReduceMean" version="opset1"> |
| 2108 | <data keep_dims="true" /> |
| 2109 | <rt_info> |
| 2110 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.0/sa_layer_norm/ReduceMean" /> |
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| 2112 | <input> |
| 2113 | <port id="0" precision="FP32"> |
| 2114 | <dim>-1</dim> |
| 2115 | <dim>-1</dim> |
| 2116 | <dim>768</dim> |
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| 2118 | <port id="1" precision="I64"> |
| 2119 | <dim>1</dim> |
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| 2122 | <output> |
| 2123 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.0/sa_layer_norm/ReduceMean_output_0"> |
| 2124 | <dim>-1</dim> |
| 2125 | <dim>-1</dim> |
| 2126 | <dim>1</dim> |
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| 2130 | <layer id="135" name="/distilbert/transformer/layer.0/sa_layer_norm/Sub" type="Subtract" version="opset1"> |
| 2131 | <data auto_broadcast="numpy" /> |
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| 2133 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.0/sa_layer_norm/Sub" /> |
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| 2135 | <input> |
| 2136 | <port id="0" precision="FP32"> |
| 2137 | <dim>-1</dim> |
| 2138 | <dim>-1</dim> |
| 2139 | <dim>768</dim> |
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| 2141 | <port id="1" precision="FP32"> |
| 2142 | <dim>-1</dim> |
| 2143 | <dim>-1</dim> |
| 2144 | <dim>1</dim> |
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| 2146 | </input> |
| 2147 | <output> |
| 2148 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.0/sa_layer_norm/Sub_output_0"> |
| 2149 | <dim>-1</dim> |
| 2150 | <dim>-1</dim> |
| 2151 | <dim>768</dim> |
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| 2154 | </layer> |
| 2155 | <layer id="136" name="/distilbert/transformer/layer.0/sa_layer_norm/Constant" type="Const" version="opset1"> |
| 2156 | <data element_type="f32" shape="" offset="90763296" size="4" /> |
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| 2158 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.0/sa_layer_norm/Constant" /> |
| 2159 | </rt_info> |
| 2160 | <output> |
| 2161 | <port id="0" precision="FP32" names="/distilbert/transformer/layer.0/sa_layer_norm/Constant_output_0" /> |
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| 2163 | </layer> |
| 2164 | <layer id="137" name="/distilbert/transformer/layer.0/sa_layer_norm/Pow" type="Power" version="opset1"> |
| 2165 | <data auto_broadcast="numpy" /> |
| 2166 | <rt_info> |
| 2167 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.0/sa_layer_norm/Pow" /> |
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| 2169 | <input> |
| 2170 | <port id="0" precision="FP32"> |
| 2171 | <dim>-1</dim> |
| 2172 | <dim>-1</dim> |
| 2173 | <dim>768</dim> |
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| 2175 | <port id="1" precision="FP32" /> |
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| 2177 | <output> |
| 2178 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.0/sa_layer_norm/Pow_output_0"> |
| 2179 | <dim>-1</dim> |
| 2180 | <dim>-1</dim> |
| 2181 | <dim>768</dim> |
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| 2185 | <layer id="138" name="Constant_255338" type="Const" version="opset1"> |
| 2186 | <data element_type="i64" shape="1" offset="90763288" size="8" /> |
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| 2188 | <attribute name="fused_names" version="0" value="Constant_255338" /> |
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| 2191 | <port id="0" precision="I64"> |
| 2192 | <dim>1</dim> |
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| 2195 | </layer> |
| 2196 | <layer id="139" name="/distilbert/transformer/layer.0/sa_layer_norm/ReduceMean_1" type="ReduceMean" version="opset1"> |
| 2197 | <data keep_dims="true" /> |
| 2198 | <rt_info> |
| 2199 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.0/sa_layer_norm/ReduceMean_1" /> |
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| 2201 | <input> |
| 2202 | <port id="0" precision="FP32"> |
| 2203 | <dim>-1</dim> |
| 2204 | <dim>-1</dim> |
| 2205 | <dim>768</dim> |
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| 2207 | <port id="1" precision="I64"> |
| 2208 | <dim>1</dim> |
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| 2210 | </input> |
| 2211 | <output> |
| 2212 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.0/sa_layer_norm/ReduceMean_1_output_0"> |
| 2213 | <dim>-1</dim> |
| 2214 | <dim>-1</dim> |
| 2215 | <dim>1</dim> |
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| 2217 | </output> |
| 2218 | </layer> |
| 2219 | <layer id="140" name="/distilbert/transformer/layer.0/sa_layer_norm/Constant_1" type="Const" version="opset1"> |
| 2220 | <data element_type="f32" shape="" offset="90763300" size="4" /> |
| 2221 | <rt_info> |
| 2222 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.0/sa_layer_norm/Constant_1" /> |
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| 2224 | <output> |
| 2225 | <port id="0" precision="FP32" names="/distilbert/transformer/layer.0/sa_layer_norm/Constant_1_output_0" /> |
| 2226 | </output> |
| 2227 | </layer> |
| 2228 | <layer id="141" name="/distilbert/transformer/layer.0/sa_layer_norm/Add" type="Add" version="opset1"> |
| 2229 | <data auto_broadcast="numpy" /> |
| 2230 | <rt_info> |
| 2231 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.0/sa_layer_norm/Add" /> |
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| 2233 | <input> |
| 2234 | <port id="0" precision="FP32"> |
| 2235 | <dim>-1</dim> |
| 2236 | <dim>-1</dim> |
| 2237 | <dim>1</dim> |
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| 2239 | <port id="1" precision="FP32" /> |
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| 2241 | <output> |
| 2242 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.0/sa_layer_norm/Add_output_0"> |
| 2243 | <dim>-1</dim> |
| 2244 | <dim>-1</dim> |
| 2245 | <dim>1</dim> |
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| 2247 | </output> |
| 2248 | </layer> |
| 2249 | <layer id="142" name="/distilbert/transformer/layer.0/sa_layer_norm/Sqrt" type="Sqrt" version="opset1"> |
| 2250 | <rt_info> |
| 2251 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.0/sa_layer_norm/Sqrt" /> |
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| 2254 | <port id="0" precision="FP32"> |
| 2255 | <dim>-1</dim> |
| 2256 | <dim>-1</dim> |
| 2257 | <dim>1</dim> |
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| 2259 | </input> |
| 2260 | <output> |
| 2261 | <port id="1" precision="FP32" names="/distilbert/transformer/layer.0/sa_layer_norm/Sqrt_output_0"> |
| 2262 | <dim>-1</dim> |
| 2263 | <dim>-1</dim> |
| 2264 | <dim>1</dim> |
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| 2266 | </output> |
| 2267 | </layer> |
| 2268 | <layer id="143" name="/distilbert/transformer/layer.0/sa_layer_norm/Div" type="Divide" version="opset1"> |
| 2269 | <data auto_broadcast="numpy" m_pythondiv="true" /> |
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| 2271 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.0/sa_layer_norm/Div" /> |
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| 2274 | <port id="0" precision="FP32"> |
| 2275 | <dim>-1</dim> |
| 2276 | <dim>-1</dim> |
| 2277 | <dim>768</dim> |
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| 2279 | <port id="1" precision="FP32"> |
| 2280 | <dim>-1</dim> |
| 2281 | <dim>-1</dim> |
| 2282 | <dim>1</dim> |
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| 2284 | </input> |
| 2285 | <output> |
| 2286 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.0/sa_layer_norm/Div_output_0"> |
| 2287 | <dim>-1</dim> |
| 2288 | <dim>-1</dim> |
| 2289 | <dim>768</dim> |
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| 2291 | </output> |
| 2292 | </layer> |
| 2293 | <layer id="144" name="distilbert.transformer.layer.0.sa_layer_norm.weight" type="Const" version="opset1"> |
| 2294 | <data element_type="f32" shape="768" offset="100215944" size="3072" /> |
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| 2296 | <attribute name="fused_names" version="0" value="distilbert.transformer.layer.0.sa_layer_norm.weight" /> |
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| 2299 | <port id="0" precision="FP32" names="distilbert.transformer.layer.0.sa_layer_norm.weight"> |
| 2300 | <dim>768</dim> |
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| 2302 | </output> |
| 2303 | </layer> |
| 2304 | <layer id="145" name="/distilbert/transformer/layer.0/sa_layer_norm/Mul" type="Multiply" version="opset1"> |
| 2305 | <data auto_broadcast="numpy" /> |
| 2306 | <rt_info> |
| 2307 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.0/sa_layer_norm/Mul" /> |
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| 2310 | <port id="0" precision="FP32"> |
| 2311 | <dim>-1</dim> |
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| 2334 | <dim>768</dim> |
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| 2338 | <layer id="147" name="/distilbert/transformer/layer.0/sa_layer_norm/Add_1" type="Add" version="opset1"> |
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| 2355 | <dim>-1</dim> |
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| 2357 | <dim>768</dim> |
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| 2368 | <dim>768</dim> |
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| 2373 | <layer id="149" name="/distilbert/transformer/layer.0/ffn/lin1/MatMul" type="MatMul" version="opset1"> |
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| 2380 | <dim>-1</dim> |
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| 2384 | <port id="1" precision="FP32"> |
| 2385 | <dim>768</dim> |
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| 2390 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.0/ffn/lin1/MatMul_output_0"> |
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| 2397 | <layer id="150" name="/distilbert/transformer/layer.0/ffn/lin1/Add" type="Add" version="opset1"> |
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| 2429 | <layer id="152" name="/distilbert/transformer/layer.0/ffn/activation/Div" type="Divide" version="opset1"> |
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| 2438 | <dim>3072</dim> |
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| 2450 | <layer id="153" name="/distilbert/transformer/layer.0/ffn/activation/Erf" type="Erf" version="opset1"> |
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| 2464 | <dim>-1</dim> |
| 2465 | <dim>3072</dim> |
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| 2475 | <port id="0" precision="FP32" names="/distilbert/transformer/layer.0/ffn/activation/Constant_1_output_0" /> |
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| 2477 | </layer> |
| 2478 | <layer id="155" name="/distilbert/transformer/layer.0/ffn/activation/Add" type="Add" version="opset1"> |
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| 2499 | <layer id="156" name="/distilbert/transformer/layer.0/ffn/activation/Mul" type="Multiply" version="opset1"> |
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| 2533 | <layer id="158" name="/distilbert/transformer/layer.0/ffn/activation/Mul_1" type="Multiply" version="opset1"> |
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| 2566 | <layer id="160" name="/distilbert/transformer/layer.0/ffn/lin2/MatMul" type="MatMul" version="opset1"> |
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| 2613 | <layer id="162" name="/distilbert/transformer/layer.0/Add_1" type="Add" version="opset1"> |
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| 2779 | <dim>1</dim> |
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| 2781 | <port id="1" precision="FP32" /> |
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| 2783 | <output> |
| 2784 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.0/output_layer_norm/Add_output_0"> |
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| 2786 | <dim>-1</dim> |
| 2787 | <dim>1</dim> |
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| 2789 | </output> |
| 2790 | </layer> |
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| 2793 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.0/output_layer_norm/Sqrt" /> |
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| 2795 | <input> |
| 2796 | <port id="0" precision="FP32"> |
| 2797 | <dim>-1</dim> |
| 2798 | <dim>-1</dim> |
| 2799 | <dim>1</dim> |
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| 2801 | </input> |
| 2802 | <output> |
| 2803 | <port id="1" precision="FP32" names="/distilbert/transformer/layer.0/output_layer_norm/Sqrt_output_0"> |
| 2804 | <dim>-1</dim> |
| 2805 | <dim>-1</dim> |
| 2806 | <dim>1</dim> |
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| 2809 | </layer> |
| 2810 | <layer id="173" name="/distilbert/transformer/layer.0/output_layer_norm/Div" type="Divide" version="opset1"> |
| 2811 | <data auto_broadcast="numpy" m_pythondiv="true" /> |
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| 2813 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.0/output_layer_norm/Div" /> |
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| 2815 | <input> |
| 2816 | <port id="0" precision="FP32"> |
| 2817 | <dim>-1</dim> |
| 2818 | <dim>-1</dim> |
| 2819 | <dim>768</dim> |
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| 2821 | <port id="1" precision="FP32"> |
| 2822 | <dim>-1</dim> |
| 2823 | <dim>-1</dim> |
| 2824 | <dim>1</dim> |
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| 2826 | </input> |
| 2827 | <output> |
| 2828 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.0/output_layer_norm/Div_output_0"> |
| 2829 | <dim>-1</dim> |
| 2830 | <dim>-1</dim> |
| 2831 | <dim>768</dim> |
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| 2833 | </output> |
| 2834 | </layer> |
| 2835 | <layer id="174" name="distilbert.transformer.layer.0.output_layer_norm.weight" type="Const" version="opset1"> |
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| 2838 | <attribute name="fused_names" version="0" value="distilbert.transformer.layer.0.output_layer_norm.weight" /> |
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| 2840 | <output> |
| 2841 | <port id="0" precision="FP32" names="distilbert.transformer.layer.0.output_layer_norm.weight"> |
| 2842 | <dim>768</dim> |
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| 2845 | </layer> |
| 2846 | <layer id="175" name="/distilbert/transformer/layer.0/output_layer_norm/Mul" type="Multiply" version="opset1"> |
| 2847 | <data auto_broadcast="numpy" /> |
| 2848 | <rt_info> |
| 2849 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.0/output_layer_norm/Mul" /> |
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| 2851 | <input> |
| 2852 | <port id="0" precision="FP32"> |
| 2853 | <dim>-1</dim> |
| 2854 | <dim>-1</dim> |
| 2855 | <dim>768</dim> |
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| 2857 | <port id="1" precision="FP32"> |
| 2858 | <dim>768</dim> |
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| 2860 | </input> |
| 2861 | <output> |
| 2862 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.0/output_layer_norm/Mul_output_0"> |
| 2863 | <dim>-1</dim> |
| 2864 | <dim>-1</dim> |
| 2865 | <dim>768</dim> |
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| 2867 | </output> |
| 2868 | </layer> |
| 2869 | <layer id="176" name="distilbert.transformer.layer.0.output_layer_norm.bias" type="Const" version="opset1"> |
| 2870 | <data element_type="f32" shape="768" offset="119099540" size="3072" /> |
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| 2874 | <output> |
| 2875 | <port id="0" precision="FP32" names="distilbert.transformer.layer.0.output_layer_norm.bias"> |
| 2876 | <dim>768</dim> |
| 2877 | </port> |
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| 2879 | </layer> |
| 2880 | <layer id="177" name="/distilbert/transformer/layer.0/output_layer_norm/Add_1" type="Add" version="opset1"> |
| 2881 | <data auto_broadcast="numpy" /> |
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| 2883 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.0/output_layer_norm/Add_1" /> |
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| 2885 | <input> |
| 2886 | <port id="0" precision="FP32"> |
| 2887 | <dim>-1</dim> |
| 2888 | <dim>-1</dim> |
| 2889 | <dim>768</dim> |
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| 2891 | <port id="1" precision="FP32"> |
| 2892 | <dim>768</dim> |
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| 2895 | <output> |
| 2896 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.0/output_layer_norm/Add_1_output_0"> |
| 2897 | <dim>-1</dim> |
| 2898 | <dim>-1</dim> |
| 2899 | <dim>768</dim> |
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| 2901 | </output> |
| 2902 | </layer> |
| 2903 | <layer id="178" name="/distilbert/transformer/layer.1/attention/Shape" type="ShapeOf" version="opset3"> |
| 2904 | <data output_type="i64" /> |
| 2905 | <rt_info> |
| 2906 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/attention/Shape" /> |
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| 2908 | <input> |
| 2909 | <port id="0" precision="FP32"> |
| 2910 | <dim>-1</dim> |
| 2911 | <dim>-1</dim> |
| 2912 | <dim>768</dim> |
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| 2914 | </input> |
| 2915 | <output> |
| 2916 | <port id="1" precision="I64" names="/distilbert/transformer/layer.1/attention/Shape_output_0"> |
| 2917 | <dim>3</dim> |
| 2918 | </port> |
| 2919 | </output> |
| 2920 | </layer> |
| 2921 | <layer id="179" name="/distilbert/transformer/layer.1/attention/Constant" type="Const" version="opset1"> |
| 2922 | <data element_type="i64" shape="" offset="18440" size="8" /> |
| 2923 | <rt_info> |
| 2924 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/attention/Constant" /> |
| 2925 | </rt_info> |
| 2926 | <output> |
| 2927 | <port id="0" precision="I64" names="/distilbert/transformer/layer.1/attention/Constant_output_0" /> |
| 2928 | </output> |
| 2929 | </layer> |
| 2930 | <layer id="180" name="Constant_255374" type="Const" version="opset1"> |
| 2931 | <data element_type="i64" shape="" offset="18440" size="8" /> |
| 2932 | <rt_info> |
| 2933 | <attribute name="fused_names" version="0" value="Constant_255374" /> |
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| 2935 | <output> |
| 2936 | <port id="0" precision="I64" /> |
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| 2939 | <layer id="181" name="/distilbert/transformer/layer.1/attention/Gather" type="Gather" version="opset8"> |
| 2940 | <data batch_dims="0" /> |
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| 2942 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/attention/Constant, /distilbert/transformer/layer.1/attention/Gather, Constant_255374" /> |
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| 2944 | <input> |
| 2945 | <port id="0" precision="I64"> |
| 2946 | <dim>3</dim> |
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| 2948 | <port id="1" precision="I64" /> |
| 2949 | <port id="2" precision="I64" /> |
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| 2951 | <output> |
| 2952 | <port id="3" precision="I64" names="/distilbert/transformer/layer.1/attention/Gather_output_0" /> |
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| 2954 | </layer> |
| 2955 | <layer id="182" name="Constant_255434" type="Const" version="opset1"> |
| 2956 | <data element_type="i64" shape="1" offset="18440" size="8" /> |
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| 2961 | <port id="0" precision="I64"> |
| 2962 | <dim>1</dim> |
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| 2966 | <layer id="183" name="/distilbert/transformer/layer.1/attention/Unsqueeze_3" type="Unsqueeze" version="opset1"> |
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| 2968 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/attention/Unsqueeze_3, Constant_255434" /> |
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| 2970 | <input> |
| 2971 | <port id="0" precision="I64" /> |
| 2972 | <port id="1" precision="I64"> |
| 2973 | <dim>1</dim> |
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| 2976 | <output> |
| 2977 | <port id="2" precision="I64" names="/distilbert/transformer/layer.1/attention/Unsqueeze_3_output_0"> |
| 2978 | <dim>1</dim> |
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| 2981 | </layer> |
| 2982 | <layer id="184" name="/distilbert/transformer/layer.1/attention/Constant_12" type="Const" version="opset1"> |
| 2983 | <data element_type="i64" shape="1" offset="90763280" size="8" /> |
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| 2985 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/attention/Constant_12" /> |
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| 2988 | <port id="0" precision="I64" names="/distilbert/transformer/layer.1/attention/Constant_12_output_0"> |
| 2989 | <dim>1</dim> |
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| 2993 | <layer id="185" name="/distilbert/transformer/layer.1/attention/Constant_13" type="Const" version="opset1"> |
| 2994 | <data element_type="i64" shape="1" offset="90763280" size="8" /> |
| 2995 | <rt_info> |
| 2996 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/attention/Constant_13" /> |
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| 2998 | <output> |
| 2999 | <port id="0" precision="I64" names="/distilbert/transformer/layer.1/attention/Constant_13_output_0"> |
| 3000 | <dim>1</dim> |
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| 3004 | <layer id="186" name="/distilbert/transformer/layer.1/attention/Shape_1" type="ShapeOf" version="opset3"> |
| 3005 | <data output_type="i64" /> |
| 3006 | <rt_info> |
| 3007 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/attention/Shape_1" /> |
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| 3010 | <port id="0" precision="FP32"> |
| 3011 | <dim>-1</dim> |
| 3012 | <dim>-1</dim> |
| 3013 | <dim>768</dim> |
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| 3015 | </input> |
| 3016 | <output> |
| 3017 | <port id="1" precision="I64" names="/distilbert/transformer/layer.1/attention/Shape_1_output_0"> |
| 3018 | <dim>3</dim> |
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| 3020 | </output> |
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| 3022 | <layer id="187" name="/distilbert/transformer/layer.1/attention/Constant_1" type="Const" version="opset1"> |
| 3023 | <data element_type="i64" shape="" offset="90763280" size="8" /> |
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| 3025 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/attention/Constant_1" /> |
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| 3027 | <output> |
| 3028 | <port id="0" precision="I64" names="/distilbert/transformer/layer.1/attention/Constant_1_output_0" /> |
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| 3031 | <layer id="188" name="Constant_255378" type="Const" version="opset1"> |
| 3032 | <data element_type="i64" shape="" offset="18440" size="8" /> |
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| 3036 | <output> |
| 3037 | <port id="0" precision="I64" /> |
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| 3040 | <layer id="189" name="/distilbert/transformer/layer.1/attention/Gather_1" type="Gather" version="opset8"> |
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| 3046 | <port id="0" precision="I64"> |
| 3047 | <dim>3</dim> |
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| 3049 | <port id="1" precision="I64" /> |
| 3050 | <port id="2" precision="I64" /> |
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| 3053 | <port id="3" precision="I64" names="/distilbert/transformer/layer.1/attention/Gather_1_output_0" /> |
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| 3056 | <layer id="190" name="Constant_255438" type="Const" version="opset1"> |
| 3057 | <data element_type="i64" shape="1" offset="18440" size="8" /> |
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| 3063 | <dim>1</dim> |
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| 3067 | <layer id="191" name="/distilbert/transformer/layer.1/attention/Unsqueeze_4" type="Unsqueeze" version="opset1"> |
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| 3069 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/attention/Unsqueeze_4, Constant_255438" /> |
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| 3072 | <port id="0" precision="I64" /> |
| 3073 | <port id="1" precision="I64"> |
| 3074 | <dim>1</dim> |
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| 3077 | <output> |
| 3078 | <port id="2" precision="I64" names="/distilbert/transformer/layer.1/attention/Unsqueeze_4_output_0"> |
| 3079 | <dim>1</dim> |
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| 3083 | <layer id="192" name="/distilbert/transformer/layer.1/attention/Concat_3" type="Concat" version="opset1"> |
| 3084 | <data axis="0" /> |
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| 3086 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/attention/Concat_3, /distilbert/transformer/layer.1/attention/Constant_12, /distilbert/transformer/layer.1/attention/Constant_13" /> |
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| 3092 | <port id="1" precision="I64"> |
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| 3095 | <port id="2" precision="I64"> |
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| 3098 | <port id="3" precision="I64"> |
| 3099 | <dim>1</dim> |
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| 3102 | <output> |
| 3103 | <port id="4" precision="I64" names="/distilbert/transformer/layer.1/attention/Concat_3_output_0"> |
| 3104 | <dim>4</dim> |
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| 3108 | <layer id="193" name="/distilbert/transformer/layer.1/attention/Reshape_3" type="Reshape" version="opset1"> |
| 3109 | <data special_zero="true" /> |
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| 3111 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/attention/Reshape_3" /> |
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| 3113 | <input> |
| 3114 | <port id="0" precision="BOOL"> |
| 3115 | <dim>-1</dim> |
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| 3118 | <port id="1" precision="I64"> |
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| 3122 | <output> |
| 3123 | <port id="2" precision="BOOL" names="/distilbert/transformer/layer.1/attention/Reshape_3_output_0"> |
| 3124 | <dim>-1</dim> |
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| 3126 | <dim>1</dim> |
| 3127 | <dim>-1</dim> |
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| 3131 | <layer id="194" name="distilbert.transformer.layer.1.attention.q_lin.bias" type="Const" version="opset1"> |
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| 3134 | <attribute name="fused_names" version="0" value="distilbert.transformer.layer.1.attention.q_lin.bias" /> |
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| 3136 | <output> |
| 3137 | <port id="0" precision="FP32" names="distilbert.transformer.layer.1.attention.q_lin.bias"> |
| 3138 | <dim>768</dim> |
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| 3142 | <layer id="195" name="onnx::MatMul_757" type="Const" version="opset1"> |
| 3143 | <data element_type="f32" shape="768, 768" offset="119105684" size="2359296" /> |
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| 3148 | <port id="0" precision="FP32" names="onnx::MatMul_757"> |
| 3149 | <dim>768</dim> |
| 3150 | <dim>768</dim> |
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| 3154 | <layer id="196" name="/distilbert/transformer/layer.1/attention/q_lin/MatMul" type="MatMul" version="opset1"> |
| 3155 | <data transpose_a="false" transpose_b="false" /> |
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| 3157 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/attention/q_lin/MatMul" /> |
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| 3160 | <port id="0" precision="FP32"> |
| 3161 | <dim>-1</dim> |
| 3162 | <dim>-1</dim> |
| 3163 | <dim>768</dim> |
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| 3165 | <port id="1" precision="FP32"> |
| 3166 | <dim>768</dim> |
| 3167 | <dim>768</dim> |
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| 3170 | <output> |
| 3171 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.1/attention/q_lin/MatMul_output_0"> |
| 3172 | <dim>-1</dim> |
| 3173 | <dim>-1</dim> |
| 3174 | <dim>768</dim> |
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| 3178 | <layer id="197" name="/distilbert/transformer/layer.1/attention/q_lin/Add" type="Add" version="opset1"> |
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| 3181 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/attention/q_lin/Add" /> |
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| 3184 | <port id="0" precision="FP32"> |
| 3185 | <dim>768</dim> |
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| 3187 | <port id="1" precision="FP32"> |
| 3188 | <dim>-1</dim> |
| 3189 | <dim>-1</dim> |
| 3190 | <dim>768</dim> |
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| 3193 | <output> |
| 3194 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.1/attention/q_lin/Add_output_0"> |
| 3195 | <dim>-1</dim> |
| 3196 | <dim>-1</dim> |
| 3197 | <dim>768</dim> |
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| 3201 | <layer id="198" name="Constant_255382" type="Const" version="opset1"> |
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| 3207 | <port id="0" precision="I64"> |
| 3208 | <dim>1</dim> |
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| 3212 | <layer id="199" name="/distilbert/transformer/layer.1/attention/Unsqueeze" type="Unsqueeze" version="opset1"> |
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| 3214 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/attention/Unsqueeze, Constant_255382" /> |
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| 3340 | <dim>-1</dim> |
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| 3354 | <layer id="208" name="/distilbert/transformer/layer.1/attention/Div" type="Divide" version="opset1"> |
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| 3364 | <dim>64</dim> |
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| 3372 | <dim>-1</dim> |
| 3373 | <dim>64</dim> |
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| 3383 | <port id="0" precision="FP32" names="distilbert.transformer.layer.1.attention.k_lin.bias"> |
| 3384 | <dim>768</dim> |
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| 3388 | <layer id="210" name="onnx::MatMul_767" type="Const" version="opset1"> |
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| 3394 | <port id="0" precision="FP32" names="onnx::MatMul_767"> |
| 3395 | <dim>768</dim> |
| 3396 | <dim>768</dim> |
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| 3400 | <layer id="211" name="/distilbert/transformer/layer.1/attention/k_lin/MatMul" type="MatMul" version="opset1"> |
| 3401 | <data transpose_a="false" transpose_b="false" /> |
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| 3407 | <dim>-1</dim> |
| 3408 | <dim>-1</dim> |
| 3409 | <dim>768</dim> |
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| 3411 | <port id="1" precision="FP32"> |
| 3412 | <dim>768</dim> |
| 3413 | <dim>768</dim> |
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| 3417 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.1/attention/k_lin/MatMul_output_0"> |
| 3418 | <dim>-1</dim> |
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| 3420 | <dim>768</dim> |
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| 3423 | </layer> |
| 3424 | <layer id="212" name="/distilbert/transformer/layer.1/attention/k_lin/Add" type="Add" version="opset1"> |
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| 3427 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/attention/k_lin/Add" /> |
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| 3430 | <port id="0" precision="FP32"> |
| 3431 | <dim>768</dim> |
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| 3433 | <port id="1" precision="FP32"> |
| 3434 | <dim>-1</dim> |
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| 3436 | <dim>768</dim> |
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| 3440 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.1/attention/k_lin/Add_output_0"> |
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| 3443 | <dim>768</dim> |
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| 3464 | <port id="1" precision="I64"> |
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| 3469 | <port id="2" precision="I64" names="/distilbert/transformer/layer.1/attention/Unsqueeze_1_output_0"> |
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| 3474 | <layer id="215" name="/distilbert/transformer/layer.1/attention/Constant_5" type="Const" version="opset1"> |
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| 3485 | <layer id="216" name="/distilbert/transformer/layer.1/attention/Constant_6" type="Const" version="opset1"> |
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| 3496 | <layer id="217" name="/distilbert/transformer/layer.1/attention/Constant_7" type="Const" version="opset1"> |
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| 3507 | <layer id="218" name="/distilbert/transformer/layer.1/attention/Concat_1" type="Concat" version="opset1"> |
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| 3522 | <port id="3" precision="I64"> |
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| 3532 | <layer id="219" name="/distilbert/transformer/layer.1/attention/Reshape_1" type="Reshape" version="opset1"> |
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| 3543 | <port id="1" precision="I64"> |
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| 3551 | <dim>12</dim> |
| 3552 | <dim>64</dim> |
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| 3578 | <port id="1" precision="I64"> |
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| 3583 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.1/attention/Transpose_2_output_0"> |
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| 3586 | <dim>64</dim> |
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| 3606 | <dim>64</dim> |
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| 3614 | <dim>-1</dim> |
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| 3638 | <layer id="224" name="/distilbert/transformer/layer.1/attention/Expand" type="Broadcast" version="opset3"> |
| 3639 | <data mode="bidirectional" /> |
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| 3658 | <dim>-1</dim> |
| 3659 | <dim>-1</dim> |
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| 3670 | <dim>-1</dim> |
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| 3774 | <port id="0" precision="FP32"> |
| 3775 | <dim>-1</dim> |
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| 3777 | <dim>768</dim> |
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| 3779 | <port id="1" precision="FP32"> |
| 3780 | <dim>768</dim> |
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| 3786 | <dim>-1</dim> |
| 3787 | <dim>-1</dim> |
| 3788 | <dim>768</dim> |
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| 3795 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/attention/v_lin/Add" /> |
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| 3832 | <port id="1" precision="I64"> |
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| 3837 | <port id="2" precision="I64" names="/distilbert/transformer/layer.1/attention/Unsqueeze_2_output_0"> |
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| 3890 | <port id="3" precision="I64"> |
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| 3895 | <port id="4" precision="I64" names="/distilbert/transformer/layer.1/attention/Concat_2_output_0"> |
| 3896 | <dim>4</dim> |
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| 3900 | <layer id="239" name="/distilbert/transformer/layer.1/attention/Reshape_2" type="Reshape" version="opset1"> |
| 3901 | <data special_zero="true" /> |
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| 3906 | <port id="0" precision="FP32"> |
| 3907 | <dim>-1</dim> |
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| 3909 | <dim>768</dim> |
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| 3911 | <port id="1" precision="I64"> |
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| 3916 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.1/attention/Reshape_2_output_0"> |
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| 3919 | <dim>12</dim> |
| 3920 | <dim>64</dim> |
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| 3943 | <dim>12</dim> |
| 3944 | <dim>64</dim> |
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| 3951 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.1/attention/Transpose_1_output_0"> |
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| 3954 | <dim>-1</dim> |
| 3955 | <dim>64</dim> |
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| 3960 | <data transpose_a="false" transpose_b="false" /> |
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| 3966 | <dim>-1</dim> |
| 3967 | <dim>12</dim> |
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| 3969 | <dim>-1</dim> |
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| 3971 | <port id="1" precision="FP32"> |
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| 3973 | <dim>12</dim> |
| 3974 | <dim>-1</dim> |
| 3975 | <dim>64</dim> |
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| 3979 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.1/attention/MatMul_1_output_0"> |
| 3980 | <dim>-1</dim> |
| 3981 | <dim>12</dim> |
| 3982 | <dim>-1</dim> |
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| 4039 | <port id="1" precision="I64"> |
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| 4162 | <port id="1" precision="FP32"> |
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| 4168 | <output> |
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| 4172 | <dim>768</dim> |
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| 4212 | <layer id="256" name="/distilbert/transformer/layer.1/sa_layer_norm/ReduceMean" type="ReduceMean" version="opset1"> |
| 4213 | <data keep_dims="true" /> |
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| 4215 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/sa_layer_norm/ReduceMean" /> |
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| 4217 | <input> |
| 4218 | <port id="0" precision="FP32"> |
| 4219 | <dim>-1</dim> |
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| 4221 | <dim>768</dim> |
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| 4224 | <dim>1</dim> |
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| 4227 | <output> |
| 4228 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.1/sa_layer_norm/ReduceMean_output_0"> |
| 4229 | <dim>-1</dim> |
| 4230 | <dim>-1</dim> |
| 4231 | <dim>1</dim> |
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| 4235 | <layer id="257" name="/distilbert/transformer/layer.1/sa_layer_norm/Sub" type="Subtract" version="opset1"> |
| 4236 | <data auto_broadcast="numpy" /> |
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| 4240 | <input> |
| 4241 | <port id="0" precision="FP32"> |
| 4242 | <dim>-1</dim> |
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| 4244 | <dim>768</dim> |
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| 4246 | <port id="1" precision="FP32"> |
| 4247 | <dim>-1</dim> |
| 4248 | <dim>-1</dim> |
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| 4252 | <output> |
| 4253 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.1/sa_layer_norm/Sub_output_0"> |
| 4254 | <dim>-1</dim> |
| 4255 | <dim>-1</dim> |
| 4256 | <dim>768</dim> |
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| 4258 | </output> |
| 4259 | </layer> |
| 4260 | <layer id="258" name="/distilbert/transformer/layer.1/sa_layer_norm/Constant" type="Const" version="opset1"> |
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| 4265 | <output> |
| 4266 | <port id="0" precision="FP32" names="/distilbert/transformer/layer.1/sa_layer_norm/Constant_output_0" /> |
| 4267 | </output> |
| 4268 | </layer> |
| 4269 | <layer id="259" name="/distilbert/transformer/layer.1/sa_layer_norm/Pow" type="Power" version="opset1"> |
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| 4272 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/sa_layer_norm/Pow" /> |
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| 4274 | <input> |
| 4275 | <port id="0" precision="FP32"> |
| 4276 | <dim>-1</dim> |
| 4277 | <dim>-1</dim> |
| 4278 | <dim>768</dim> |
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| 4280 | <port id="1" precision="FP32" /> |
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| 4282 | <output> |
| 4283 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.1/sa_layer_norm/Pow_output_0"> |
| 4284 | <dim>-1</dim> |
| 4285 | <dim>-1</dim> |
| 4286 | <dim>768</dim> |
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| 4300 | </layer> |
| 4301 | <layer id="261" name="/distilbert/transformer/layer.1/sa_layer_norm/ReduceMean_1" type="ReduceMean" version="opset1"> |
| 4302 | <data keep_dims="true" /> |
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| 4304 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/sa_layer_norm/ReduceMean_1" /> |
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| 4306 | <input> |
| 4307 | <port id="0" precision="FP32"> |
| 4308 | <dim>-1</dim> |
| 4309 | <dim>-1</dim> |
| 4310 | <dim>768</dim> |
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| 4312 | <port id="1" precision="I64"> |
| 4313 | <dim>1</dim> |
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| 4315 | </input> |
| 4316 | <output> |
| 4317 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.1/sa_layer_norm/ReduceMean_1_output_0"> |
| 4318 | <dim>-1</dim> |
| 4319 | <dim>-1</dim> |
| 4320 | <dim>1</dim> |
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| 4322 | </output> |
| 4323 | </layer> |
| 4324 | <layer id="262" name="/distilbert/transformer/layer.1/sa_layer_norm/Constant_1" type="Const" version="opset1"> |
| 4325 | <data element_type="f32" shape="" offset="90763300" size="4" /> |
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| 4327 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/sa_layer_norm/Constant_1" /> |
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| 4329 | <output> |
| 4330 | <port id="0" precision="FP32" names="/distilbert/transformer/layer.1/sa_layer_norm/Constant_1_output_0" /> |
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| 4332 | </layer> |
| 4333 | <layer id="263" name="/distilbert/transformer/layer.1/sa_layer_norm/Add" type="Add" version="opset1"> |
| 4334 | <data auto_broadcast="numpy" /> |
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| 4336 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/sa_layer_norm/Add" /> |
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| 4338 | <input> |
| 4339 | <port id="0" precision="FP32"> |
| 4340 | <dim>-1</dim> |
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| 4344 | <port id="1" precision="FP32" /> |
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| 4347 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.1/sa_layer_norm/Add_output_0"> |
| 4348 | <dim>-1</dim> |
| 4349 | <dim>-1</dim> |
| 4350 | <dim>1</dim> |
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| 4352 | </output> |
| 4353 | </layer> |
| 4354 | <layer id="264" name="/distilbert/transformer/layer.1/sa_layer_norm/Sqrt" type="Sqrt" version="opset1"> |
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| 4356 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/sa_layer_norm/Sqrt" /> |
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| 4358 | <input> |
| 4359 | <port id="0" precision="FP32"> |
| 4360 | <dim>-1</dim> |
| 4361 | <dim>-1</dim> |
| 4362 | <dim>1</dim> |
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| 4365 | <output> |
| 4366 | <port id="1" precision="FP32" names="/distilbert/transformer/layer.1/sa_layer_norm/Sqrt_output_0"> |
| 4367 | <dim>-1</dim> |
| 4368 | <dim>-1</dim> |
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| 4373 | <layer id="265" name="/distilbert/transformer/layer.1/sa_layer_norm/Div" type="Divide" version="opset1"> |
| 4374 | <data auto_broadcast="numpy" m_pythondiv="true" /> |
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| 4378 | <input> |
| 4379 | <port id="0" precision="FP32"> |
| 4380 | <dim>-1</dim> |
| 4381 | <dim>-1</dim> |
| 4382 | <dim>768</dim> |
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| 4384 | <port id="1" precision="FP32"> |
| 4385 | <dim>-1</dim> |
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| 4390 | <output> |
| 4391 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.1/sa_layer_norm/Div_output_0"> |
| 4392 | <dim>-1</dim> |
| 4393 | <dim>-1</dim> |
| 4394 | <dim>768</dim> |
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| 4397 | </layer> |
| 4398 | <layer id="266" name="distilbert.transformer.layer.1.sa_layer_norm.weight" type="Const" version="opset1"> |
| 4399 | <data element_type="f32" shape="768" offset="128549012" size="3072" /> |
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| 4403 | <output> |
| 4404 | <port id="0" precision="FP32" names="distilbert.transformer.layer.1.sa_layer_norm.weight"> |
| 4405 | <dim>768</dim> |
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| 4408 | </layer> |
| 4409 | <layer id="267" name="/distilbert/transformer/layer.1/sa_layer_norm/Mul" type="Multiply" version="opset1"> |
| 4410 | <data auto_broadcast="numpy" /> |
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| 4412 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/sa_layer_norm/Mul" /> |
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| 4414 | <input> |
| 4415 | <port id="0" precision="FP32"> |
| 4416 | <dim>-1</dim> |
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| 4418 | <dim>768</dim> |
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| 4420 | <port id="1" precision="FP32"> |
| 4421 | <dim>768</dim> |
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| 4424 | <output> |
| 4425 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.1/sa_layer_norm/Mul_output_0"> |
| 4426 | <dim>-1</dim> |
| 4427 | <dim>-1</dim> |
| 4428 | <dim>768</dim> |
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| 4430 | </output> |
| 4431 | </layer> |
| 4432 | <layer id="268" name="distilbert.transformer.layer.1.sa_layer_norm.bias" type="Const" version="opset1"> |
| 4433 | <data element_type="f32" shape="768" offset="128552084" size="3072" /> |
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| 4437 | <output> |
| 4438 | <port id="0" precision="FP32" names="distilbert.transformer.layer.1.sa_layer_norm.bias"> |
| 4439 | <dim>768</dim> |
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| 4443 | <layer id="269" name="/distilbert/transformer/layer.1/sa_layer_norm/Add_1" type="Add" version="opset1"> |
| 4444 | <data auto_broadcast="numpy" /> |
| 4445 | <rt_info> |
| 4446 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/sa_layer_norm/Add_1" /> |
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| 4448 | <input> |
| 4449 | <port id="0" precision="FP32"> |
| 4450 | <dim>-1</dim> |
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| 4452 | <dim>768</dim> |
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| 4454 | <port id="1" precision="FP32"> |
| 4455 | <dim>768</dim> |
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| 4458 | <output> |
| 4459 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.1/sa_layer_norm/Add_1_output_0"> |
| 4460 | <dim>-1</dim> |
| 4461 | <dim>-1</dim> |
| 4462 | <dim>768</dim> |
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| 4466 | <layer id="270" name="onnx::MatMul_774" type="Const" version="opset1"> |
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| 4469 | <attribute name="fused_names" version="0" value="onnx::MatMul_774" /> |
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| 4472 | <port id="0" precision="FP32" names="onnx::MatMul_774"> |
| 4473 | <dim>768</dim> |
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| 4478 | <layer id="271" name="/distilbert/transformer/layer.1/ffn/lin1/MatMul" type="MatMul" version="opset1"> |
| 4479 | <data transpose_a="false" transpose_b="false" /> |
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| 4484 | <port id="0" precision="FP32"> |
| 4485 | <dim>-1</dim> |
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| 4487 | <dim>768</dim> |
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| 4489 | <port id="1" precision="FP32"> |
| 4490 | <dim>768</dim> |
| 4491 | <dim>3072</dim> |
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| 4493 | </input> |
| 4494 | <output> |
| 4495 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.1/ffn/lin1/MatMul_output_0"> |
| 4496 | <dim>-1</dim> |
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| 4498 | <dim>3072</dim> |
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| 4500 | </output> |
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| 4502 | <layer id="272" name="/distilbert/transformer/layer.1/ffn/lin1/Add" type="Add" version="opset1"> |
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| 4505 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/ffn/lin1/Add" /> |
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| 4507 | <input> |
| 4508 | <port id="0" precision="FP32"> |
| 4509 | <dim>3072</dim> |
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| 4511 | <port id="1" precision="FP32"> |
| 4512 | <dim>-1</dim> |
| 4513 | <dim>-1</dim> |
| 4514 | <dim>3072</dim> |
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| 4516 | </input> |
| 4517 | <output> |
| 4518 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.1/ffn/lin1/Add_output_0"> |
| 4519 | <dim>-1</dim> |
| 4520 | <dim>-1</dim> |
| 4521 | <dim>3072</dim> |
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| 4525 | <layer id="273" name="/distilbert/transformer/layer.1/ffn/activation/Constant" type="Const" version="opset1"> |
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| 4528 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/ffn/activation/Constant" /> |
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| 4530 | <output> |
| 4531 | <port id="0" precision="FP32" names="/distilbert/transformer/layer.1/ffn/activation/Constant_output_0" /> |
| 4532 | </output> |
| 4533 | </layer> |
| 4534 | <layer id="274" name="/distilbert/transformer/layer.1/ffn/activation/Div" type="Divide" version="opset1"> |
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| 4536 | <rt_info> |
| 4537 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/ffn/activation/Div" /> |
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| 4540 | <port id="0" precision="FP32"> |
| 4541 | <dim>-1</dim> |
| 4542 | <dim>-1</dim> |
| 4543 | <dim>3072</dim> |
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| 4545 | <port id="1" precision="FP32" /> |
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| 4547 | <output> |
| 4548 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.1/ffn/activation/Div_output_0"> |
| 4549 | <dim>-1</dim> |
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| 4551 | <dim>3072</dim> |
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| 4555 | <layer id="275" name="/distilbert/transformer/layer.1/ffn/activation/Erf" type="Erf" version="opset1"> |
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| 4557 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/ffn/activation/Erf" /> |
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| 4561 | <dim>-1</dim> |
| 4562 | <dim>-1</dim> |
| 4563 | <dim>3072</dim> |
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| 4566 | <output> |
| 4567 | <port id="1" precision="FP32" names="/distilbert/transformer/layer.1/ffn/activation/Erf_output_0"> |
| 4568 | <dim>-1</dim> |
| 4569 | <dim>-1</dim> |
| 4570 | <dim>3072</dim> |
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| 4572 | </output> |
| 4573 | </layer> |
| 4574 | <layer id="276" name="/distilbert/transformer/layer.1/ffn/activation/Constant_1" type="Const" version="opset1"> |
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| 4577 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/ffn/activation/Constant_1" /> |
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| 4580 | <port id="0" precision="FP32" names="/distilbert/transformer/layer.1/ffn/activation/Constant_1_output_0" /> |
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| 4583 | <layer id="277" name="/distilbert/transformer/layer.1/ffn/activation/Add" type="Add" version="opset1"> |
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| 4586 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/ffn/activation/Add" /> |
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| 4622 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.1/ffn/activation/Mul_output_0"> |
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| 4625 | <dim>3072</dim> |
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| 4638 | <layer id="280" name="/distilbert/transformer/layer.1/ffn/activation/Mul_1" type="Multiply" version="opset1"> |
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| 4659 | <layer id="281" name="onnx::MatMul_775" type="Const" version="opset1"> |
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| 4665 | <port id="0" precision="FP32" names="onnx::MatMul_775"> |
| 4666 | <dim>3072</dim> |
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| 4671 | <layer id="282" name="/distilbert/transformer/layer.1/ffn/lin2/MatMul" type="MatMul" version="opset1"> |
| 4672 | <data transpose_a="false" transpose_b="false" /> |
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| 4678 | <dim>-1</dim> |
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| 4680 | <dim>3072</dim> |
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| 4682 | <port id="1" precision="FP32"> |
| 4683 | <dim>3072</dim> |
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| 4688 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.1/ffn/lin2/MatMul_output_0"> |
| 4689 | <dim>-1</dim> |
| 4690 | <dim>-1</dim> |
| 4691 | <dim>768</dim> |
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| 4695 | <layer id="283" name="/distilbert/transformer/layer.1/ffn/lin2/Add" type="Add" version="opset1"> |
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| 4700 | <input> |
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| 4702 | <dim>768</dim> |
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| 4704 | <port id="1" precision="FP32"> |
| 4705 | <dim>-1</dim> |
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| 4711 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.1/ffn/lin2/Add_output_0"> |
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| 4714 | <dim>768</dim> |
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| 4718 | <layer id="284" name="/distilbert/transformer/layer.1/Add_1" type="Add" version="opset1"> |
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| 4724 | <port id="0" precision="FP32"> |
| 4725 | <dim>-1</dim> |
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| 4727 | <dim>768</dim> |
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| 4729 | <port id="1" precision="FP32"> |
| 4730 | <dim>-1</dim> |
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| 4732 | <dim>768</dim> |
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| 4736 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.1/Add_1_output_0"> |
| 4737 | <dim>-1</dim> |
| 4738 | <dim>-1</dim> |
| 4739 | <dim>768</dim> |
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| 4754 | <layer id="286" name="/distilbert/transformer/layer.1/output_layer_norm/ReduceMean" type="ReduceMean" version="opset1"> |
| 4755 | <data keep_dims="true" /> |
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| 4757 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/output_layer_norm/ReduceMean" /> |
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| 4759 | <input> |
| 4760 | <port id="0" precision="FP32"> |
| 4761 | <dim>-1</dim> |
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| 4763 | <dim>768</dim> |
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| 4769 | <output> |
| 4770 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.1/output_layer_norm/ReduceMean_output_0"> |
| 4771 | <dim>-1</dim> |
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| 4777 | <layer id="287" name="/distilbert/transformer/layer.1/output_layer_norm/Sub" type="Subtract" version="opset1"> |
| 4778 | <data auto_broadcast="numpy" /> |
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| 4780 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/output_layer_norm/Sub" /> |
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| 4782 | <input> |
| 4783 | <port id="0" precision="FP32"> |
| 4784 | <dim>-1</dim> |
| 4785 | <dim>-1</dim> |
| 4786 | <dim>768</dim> |
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| 4788 | <port id="1" precision="FP32"> |
| 4789 | <dim>-1</dim> |
| 4790 | <dim>-1</dim> |
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| 4794 | <output> |
| 4795 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.1/output_layer_norm/Sub_output_0"> |
| 4796 | <dim>-1</dim> |
| 4797 | <dim>-1</dim> |
| 4798 | <dim>768</dim> |
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| 4801 | </layer> |
| 4802 | <layer id="288" name="/distilbert/transformer/layer.1/output_layer_norm/Constant" type="Const" version="opset1"> |
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| 4805 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/output_layer_norm/Constant" /> |
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| 4807 | <output> |
| 4808 | <port id="0" precision="FP32" names="/distilbert/transformer/layer.1/output_layer_norm/Constant_output_0" /> |
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| 4810 | </layer> |
| 4811 | <layer id="289" name="/distilbert/transformer/layer.1/output_layer_norm/Pow" type="Power" version="opset1"> |
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| 4814 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/output_layer_norm/Pow" /> |
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| 4816 | <input> |
| 4817 | <port id="0" precision="FP32"> |
| 4818 | <dim>-1</dim> |
| 4819 | <dim>-1</dim> |
| 4820 | <dim>768</dim> |
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| 4822 | <port id="1" precision="FP32" /> |
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| 4824 | <output> |
| 4825 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.1/output_layer_norm/Pow_output_0"> |
| 4826 | <dim>-1</dim> |
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| 4828 | <dim>768</dim> |
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| 4832 | <layer id="290" name="Constant_255511" type="Const" version="opset1"> |
| 4833 | <data element_type="i64" shape="1" offset="90763288" size="8" /> |
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| 4843 | <layer id="291" name="/distilbert/transformer/layer.1/output_layer_norm/ReduceMean_1" type="ReduceMean" version="opset1"> |
| 4844 | <data keep_dims="true" /> |
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| 4846 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/output_layer_norm/ReduceMean_1" /> |
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| 4848 | <input> |
| 4849 | <port id="0" precision="FP32"> |
| 4850 | <dim>-1</dim> |
| 4851 | <dim>-1</dim> |
| 4852 | <dim>768</dim> |
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| 4854 | <port id="1" precision="I64"> |
| 4855 | <dim>1</dim> |
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| 4859 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.1/output_layer_norm/ReduceMean_1_output_0"> |
| 4860 | <dim>-1</dim> |
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| 4862 | <dim>1</dim> |
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| 4866 | <layer id="292" name="/distilbert/transformer/layer.1/output_layer_norm/Constant_1" type="Const" version="opset1"> |
| 4867 | <data element_type="f32" shape="" offset="90763300" size="4" /> |
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| 4869 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/output_layer_norm/Constant_1" /> |
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| 4871 | <output> |
| 4872 | <port id="0" precision="FP32" names="/distilbert/transformer/layer.1/output_layer_norm/Constant_1_output_0" /> |
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| 4875 | <layer id="293" name="/distilbert/transformer/layer.1/output_layer_norm/Add" type="Add" version="opset1"> |
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| 4878 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/output_layer_norm/Add" /> |
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| 4882 | <dim>-1</dim> |
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| 4884 | <dim>1</dim> |
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| 4886 | <port id="1" precision="FP32" /> |
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| 4889 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.1/output_layer_norm/Add_output_0"> |
| 4890 | <dim>-1</dim> |
| 4891 | <dim>-1</dim> |
| 4892 | <dim>1</dim> |
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| 4895 | </layer> |
| 4896 | <layer id="294" name="/distilbert/transformer/layer.1/output_layer_norm/Sqrt" type="Sqrt" version="opset1"> |
| 4897 | <rt_info> |
| 4898 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/output_layer_norm/Sqrt" /> |
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| 4900 | <input> |
| 4901 | <port id="0" precision="FP32"> |
| 4902 | <dim>-1</dim> |
| 4903 | <dim>-1</dim> |
| 4904 | <dim>1</dim> |
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| 4907 | <output> |
| 4908 | <port id="1" precision="FP32" names="/distilbert/transformer/layer.1/output_layer_norm/Sqrt_output_0"> |
| 4909 | <dim>-1</dim> |
| 4910 | <dim>-1</dim> |
| 4911 | <dim>1</dim> |
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| 4915 | <layer id="295" name="/distilbert/transformer/layer.1/output_layer_norm/Div" type="Divide" version="opset1"> |
| 4916 | <data auto_broadcast="numpy" m_pythondiv="true" /> |
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| 4921 | <port id="0" precision="FP32"> |
| 4922 | <dim>-1</dim> |
| 4923 | <dim>-1</dim> |
| 4924 | <dim>768</dim> |
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| 4926 | <port id="1" precision="FP32"> |
| 4927 | <dim>-1</dim> |
| 4928 | <dim>-1</dim> |
| 4929 | <dim>1</dim> |
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| 4932 | <output> |
| 4933 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.1/output_layer_norm/Div_output_0"> |
| 4934 | <dim>-1</dim> |
| 4935 | <dim>-1</dim> |
| 4936 | <dim>768</dim> |
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| 4940 | <layer id="296" name="distilbert.transformer.layer.1.output_layer_norm.weight" type="Const" version="opset1"> |
| 4941 | <data element_type="f32" shape="768" offset="147429524" size="3072" /> |
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| 4946 | <port id="0" precision="FP32" names="distilbert.transformer.layer.1.output_layer_norm.weight"> |
| 4947 | <dim>768</dim> |
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| 4951 | <layer id="297" name="/distilbert/transformer/layer.1/output_layer_norm/Mul" type="Multiply" version="opset1"> |
| 4952 | <data auto_broadcast="numpy" /> |
| 4953 | <rt_info> |
| 4954 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.1/output_layer_norm/Mul" /> |
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| 4957 | <port id="0" precision="FP32"> |
| 4958 | <dim>-1</dim> |
| 4959 | <dim>-1</dim> |
| 4960 | <dim>768</dim> |
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| 4962 | <port id="1" precision="FP32"> |
| 4963 | <dim>768</dim> |
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| 4966 | <output> |
| 4967 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.1/output_layer_norm/Mul_output_0"> |
| 4968 | <dim>-1</dim> |
| 4969 | <dim>-1</dim> |
| 4970 | <dim>768</dim> |
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| 4973 | </layer> |
| 4974 | <layer id="298" name="distilbert.transformer.layer.1.output_layer_norm.bias" type="Const" version="opset1"> |
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| 4977 | <attribute name="fused_names" version="0" value="distilbert.transformer.layer.1.output_layer_norm.bias" /> |
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| 4980 | <port id="0" precision="FP32" names="distilbert.transformer.layer.1.output_layer_norm.bias"> |
| 4981 | <dim>768</dim> |
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| 4985 | <layer id="299" name="/distilbert/transformer/layer.1/output_layer_norm/Add_1" type="Add" version="opset1"> |
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| 4991 | <port id="0" precision="FP32"> |
| 4992 | <dim>-1</dim> |
| 4993 | <dim>-1</dim> |
| 4994 | <dim>768</dim> |
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| 4996 | <port id="1" precision="FP32"> |
| 4997 | <dim>768</dim> |
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| 5000 | <output> |
| 5001 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.1/output_layer_norm/Add_1_output_0"> |
| 5002 | <dim>-1</dim> |
| 5003 | <dim>-1</dim> |
| 5004 | <dim>768</dim> |
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| 5006 | </output> |
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| 5008 | <layer id="300" name="/distilbert/transformer/layer.2/attention/Shape" type="ShapeOf" version="opset3"> |
| 5009 | <data output_type="i64" /> |
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| 5011 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.2/attention/Shape" /> |
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| 5014 | <port id="0" precision="FP32"> |
| 5015 | <dim>-1</dim> |
| 5016 | <dim>-1</dim> |
| 5017 | <dim>768</dim> |
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| 5019 | </input> |
| 5020 | <output> |
| 5021 | <port id="1" precision="I64" names="/distilbert/transformer/layer.2/attention/Shape_output_0"> |
| 5022 | <dim>3</dim> |
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| 5026 | <layer id="301" name="/distilbert/transformer/layer.2/attention/Constant" type="Const" version="opset1"> |
| 5027 | <data element_type="i64" shape="" offset="18440" size="8" /> |
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| 5029 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.2/attention/Constant" /> |
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| 5031 | <output> |
| 5032 | <port id="0" precision="I64" names="/distilbert/transformer/layer.2/attention/Constant_output_0" /> |
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| 5035 | <layer id="302" name="Constant_255521" type="Const" version="opset1"> |
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| 5041 | <port id="0" precision="I64" /> |
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| 5044 | <layer id="303" name="/distilbert/transformer/layer.2/attention/Gather" type="Gather" version="opset8"> |
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| 6496 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.2/sa_layer_norm/Div_output_0"> |
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| 6503 | <layer id="388" name="distilbert.transformer.layer.2.sa_layer_norm.weight" type="Const" version="opset1"> |
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| 6514 | <layer id="389" name="/distilbert/transformer/layer.2/sa_layer_norm/Mul" type="Multiply" version="opset1"> |
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| 6525 | <port id="1" precision="FP32"> |
| 6526 | <dim>768</dim> |
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| 6530 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.2/sa_layer_norm/Mul_output_0"> |
| 6531 | <dim>-1</dim> |
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| 6533 | <dim>768</dim> |
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| 6537 | <layer id="390" name="distilbert.transformer.layer.2.sa_layer_norm.bias" type="Const" version="opset1"> |
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| 6543 | <port id="0" precision="FP32" names="distilbert.transformer.layer.2.sa_layer_norm.bias"> |
| 6544 | <dim>768</dim> |
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| 6548 | <layer id="391" name="/distilbert/transformer/layer.2/sa_layer_norm/Add_1" type="Add" version="opset1"> |
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| 6555 | <dim>-1</dim> |
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| 6560 | <dim>768</dim> |
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| 6564 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.2/sa_layer_norm/Add_1_output_0"> |
| 6565 | <dim>-1</dim> |
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| 6567 | <dim>768</dim> |
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| 6577 | <port id="0" precision="FP32" names="onnx::MatMul_793"> |
| 6578 | <dim>768</dim> |
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| 6583 | <layer id="393" name="/distilbert/transformer/layer.2/ffn/lin1/MatMul" type="MatMul" version="opset1"> |
| 6584 | <data transpose_a="false" transpose_b="false" /> |
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| 6589 | <port id="0" precision="FP32"> |
| 6590 | <dim>-1</dim> |
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| 6594 | <port id="1" precision="FP32"> |
| 6595 | <dim>768</dim> |
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| 6600 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.2/ffn/lin1/MatMul_output_0"> |
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| 7068 | <dim>768</dim> |
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| 9328 | <dim>768</dim> |
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| 10982 | <dim>768</dim> |
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| 10993 | <dim>-1</dim> |
| 10994 | <dim>-1</dim> |
| 10995 | <dim>3072</dim> |
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| 10997 | <port id="1" precision="FP32"> |
| 10998 | <dim>3072</dim> |
| 10999 | <dim>768</dim> |
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| 11003 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.4/ffn/lin2/MatMul_output_0"> |
| 11004 | <dim>-1</dim> |
| 11005 | <dim>-1</dim> |
| 11006 | <dim>768</dim> |
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| 11019 | <port id="1" precision="FP32"> |
| 11020 | <dim>-1</dim> |
| 11021 | <dim>-1</dim> |
| 11022 | <dim>768</dim> |
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| 11025 | <output> |
| 11026 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.4/ffn/lin2/Add_output_0"> |
| 11027 | <dim>-1</dim> |
| 11028 | <dim>-1</dim> |
| 11029 | <dim>768</dim> |
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| 11032 | </layer> |
| 11033 | <layer id="650" name="/distilbert/transformer/layer.4/Add_1" type="Add" version="opset1"> |
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| 11039 | <port id="0" precision="FP32"> |
| 11040 | <dim>-1</dim> |
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| 11042 | <dim>768</dim> |
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| 11044 | <port id="1" precision="FP32"> |
| 11045 | <dim>-1</dim> |
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| 11047 | <dim>768</dim> |
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| 11051 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.4/Add_1_output_0"> |
| 11052 | <dim>-1</dim> |
| 11053 | <dim>-1</dim> |
| 11054 | <dim>768</dim> |
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| 11070 | <data keep_dims="true" /> |
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| 11076 | <dim>-1</dim> |
| 11077 | <dim>-1</dim> |
| 11078 | <dim>768</dim> |
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| 11081 | <dim>1</dim> |
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| 11084 | <output> |
| 11085 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.4/output_layer_norm/ReduceMean_output_0"> |
| 11086 | <dim>-1</dim> |
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| 11092 | <layer id="653" name="/distilbert/transformer/layer.4/output_layer_norm/Sub" type="Subtract" version="opset1"> |
| 11093 | <data auto_broadcast="numpy" /> |
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| 11095 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.4/output_layer_norm/Sub" /> |
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| 11097 | <input> |
| 11098 | <port id="0" precision="FP32"> |
| 11099 | <dim>-1</dim> |
| 11100 | <dim>-1</dim> |
| 11101 | <dim>768</dim> |
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| 11103 | <port id="1" precision="FP32"> |
| 11104 | <dim>-1</dim> |
| 11105 | <dim>-1</dim> |
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| 11109 | <output> |
| 11110 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.4/output_layer_norm/Sub_output_0"> |
| 11111 | <dim>-1</dim> |
| 11112 | <dim>-1</dim> |
| 11113 | <dim>768</dim> |
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| 11120 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.4/output_layer_norm/Constant" /> |
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| 11123 | <port id="0" precision="FP32" names="/distilbert/transformer/layer.4/output_layer_norm/Constant_output_0" /> |
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| 11126 | <layer id="655" name="/distilbert/transformer/layer.4/output_layer_norm/Pow" type="Power" version="opset1"> |
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| 11129 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.4/output_layer_norm/Pow" /> |
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| 11132 | <port id="0" precision="FP32"> |
| 11133 | <dim>-1</dim> |
| 11134 | <dim>-1</dim> |
| 11135 | <dim>768</dim> |
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| 11137 | <port id="1" precision="FP32" /> |
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| 11139 | <output> |
| 11140 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.4/output_layer_norm/Pow_output_0"> |
| 11141 | <dim>-1</dim> |
| 11142 | <dim>-1</dim> |
| 11143 | <dim>768</dim> |
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| 11164 | <port id="0" precision="FP32"> |
| 11165 | <dim>-1</dim> |
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| 11167 | <dim>768</dim> |
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| 11169 | <port id="1" precision="I64"> |
| 11170 | <dim>1</dim> |
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| 11174 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.4/output_layer_norm/ReduceMean_1_output_0"> |
| 11175 | <dim>-1</dim> |
| 11176 | <dim>-1</dim> |
| 11177 | <dim>1</dim> |
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| 11181 | <layer id="658" name="/distilbert/transformer/layer.4/output_layer_norm/Constant_1" type="Const" version="opset1"> |
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| 11184 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.4/output_layer_norm/Constant_1" /> |
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| 11187 | <port id="0" precision="FP32" names="/distilbert/transformer/layer.4/output_layer_norm/Constant_1_output_0" /> |
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| 11190 | <layer id="659" name="/distilbert/transformer/layer.4/output_layer_norm/Add" type="Add" version="opset1"> |
| 11191 | <data auto_broadcast="numpy" /> |
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| 11193 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.4/output_layer_norm/Add" /> |
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| 11196 | <port id="0" precision="FP32"> |
| 11197 | <dim>-1</dim> |
| 11198 | <dim>-1</dim> |
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| 11204 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.4/output_layer_norm/Add_output_0"> |
| 11205 | <dim>-1</dim> |
| 11206 | <dim>-1</dim> |
| 11207 | <dim>1</dim> |
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| 11211 | <layer id="660" name="/distilbert/transformer/layer.4/output_layer_norm/Sqrt" type="Sqrt" version="opset1"> |
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| 11213 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.4/output_layer_norm/Sqrt" /> |
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| 11216 | <port id="0" precision="FP32"> |
| 11217 | <dim>-1</dim> |
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| 11223 | <port id="1" precision="FP32" names="/distilbert/transformer/layer.4/output_layer_norm/Sqrt_output_0"> |
| 11224 | <dim>-1</dim> |
| 11225 | <dim>-1</dim> |
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| 11230 | <layer id="661" name="/distilbert/transformer/layer.4/output_layer_norm/Div" type="Divide" version="opset1"> |
| 11231 | <data auto_broadcast="numpy" m_pythondiv="true" /> |
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| 11233 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.4/output_layer_norm/Div" /> |
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| 11236 | <port id="0" precision="FP32"> |
| 11237 | <dim>-1</dim> |
| 11238 | <dim>-1</dim> |
| 11239 | <dim>768</dim> |
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| 11241 | <port id="1" precision="FP32"> |
| 11242 | <dim>-1</dim> |
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| 11248 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.4/output_layer_norm/Div_output_0"> |
| 11249 | <dim>-1</dim> |
| 11250 | <dim>-1</dim> |
| 11251 | <dim>768</dim> |
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| 11261 | <port id="0" precision="FP32" names="distilbert.transformer.layer.4.output_layer_norm.weight"> |
| 11262 | <dim>768</dim> |
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| 11267 | <data auto_broadcast="numpy" /> |
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| 11269 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.4/output_layer_norm/Mul" /> |
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| 11272 | <port id="0" precision="FP32"> |
| 11273 | <dim>-1</dim> |
| 11274 | <dim>-1</dim> |
| 11275 | <dim>768</dim> |
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| 11277 | <port id="1" precision="FP32"> |
| 11278 | <dim>768</dim> |
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| 11282 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.4/output_layer_norm/Mul_output_0"> |
| 11283 | <dim>-1</dim> |
| 11284 | <dim>-1</dim> |
| 11285 | <dim>768</dim> |
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| 11289 | <layer id="664" name="distilbert.transformer.layer.4.output_layer_norm.bias" type="Const" version="opset1"> |
| 11290 | <data element_type="f32" shape="768" offset="232431764" size="3072" /> |
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| 11295 | <port id="0" precision="FP32" names="distilbert.transformer.layer.4.output_layer_norm.bias"> |
| 11296 | <dim>768</dim> |
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| 11300 | <layer id="665" name="/distilbert/transformer/layer.4/output_layer_norm/Add_1" type="Add" version="opset1"> |
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| 11303 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.4/output_layer_norm/Add_1" /> |
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| 11306 | <port id="0" precision="FP32"> |
| 11307 | <dim>-1</dim> |
| 11308 | <dim>-1</dim> |
| 11309 | <dim>768</dim> |
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| 11311 | <port id="1" precision="FP32"> |
| 11312 | <dim>768</dim> |
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| 11316 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.4/output_layer_norm/Add_1_output_0"> |
| 11317 | <dim>-1</dim> |
| 11318 | <dim>-1</dim> |
| 11319 | <dim>768</dim> |
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| 11326 | <attribute name="fused_names" version="0" value="/distilbert/transformer/layer.5/attention/Shape" /> |
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| 11329 | <port id="0" precision="FP32"> |
| 11330 | <dim>-1</dim> |
| 11331 | <dim>-1</dim> |
| 11332 | <dim>768</dim> |
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| 11336 | <port id="1" precision="I64" names="/distilbert/transformer/layer.5/attention/Shape_output_0"> |
| 11337 | <dim>3</dim> |
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| 11347 | <port id="0" precision="I64" names="/distilbert/transformer/layer.5/attention/Constant_output_0" /> |
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| 11369 | <port id="2" precision="I64" /> |
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| 11372 | <port id="3" precision="I64" names="/distilbert/transformer/layer.5/attention/Gather_output_0" /> |
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| 11375 | <layer id="670" name="Constant_256022" type="Const" version="opset1"> |
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| 11392 | <port id="1" precision="I64"> |
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| 11397 | <port id="2" precision="I64" names="/distilbert/transformer/layer.5/attention/Unsqueeze_3_output_0"> |
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| 11408 | <port id="0" precision="I64" names="/distilbert/transformer/layer.5/attention/Constant_12_output_0"> |
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| 11568 | <port id="0" precision="FP32" names="onnx::MatMul_833"> |
| 11569 | <dim>768</dim> |
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| 11580 | <port id="0" precision="FP32"> |
| 11581 | <dim>-1</dim> |
| 11582 | <dim>-1</dim> |
| 11583 | <dim>768</dim> |
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| 11585 | <port id="1" precision="FP32"> |
| 11586 | <dim>768</dim> |
| 11587 | <dim>768</dim> |
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| 11591 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.5/attention/q_lin/MatMul_output_0"> |
| 11592 | <dim>-1</dim> |
| 11593 | <dim>-1</dim> |
| 11594 | <dim>768</dim> |
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| 11598 | <layer id="685" name="/distilbert/transformer/layer.5/attention/q_lin/Add" type="Add" version="opset1"> |
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| 11610 | <dim>768</dim> |
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| 11614 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.5/attention/q_lin/Add_output_0"> |
| 11615 | <dim>-1</dim> |
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| 11617 | <dim>768</dim> |
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| 11638 | <port id="1" precision="I64"> |
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| 11722 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.5/attention/Reshape_output_0"> |
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| 12814 | <dim>768</dim> |
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| 12818 | <layer id="754" name="distilbert.transformer.layer.5.sa_layer_norm.weight" type="Const" version="opset1"> |
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| 12824 | <port id="0" precision="FP32" names="distilbert.transformer.layer.5.sa_layer_norm.weight"> |
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| 12840 | <port id="1" precision="FP32"> |
| 12841 | <dim>768</dim> |
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| 12846 | <dim>-1</dim> |
| 12847 | <dim>-1</dim> |
| 12848 | <dim>768</dim> |
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| 12858 | <port id="0" precision="FP32" names="distilbert.transformer.layer.5.sa_layer_norm.bias"> |
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| 12874 | <port id="1" precision="FP32"> |
| 12875 | <dim>768</dim> |
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| 12879 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.5/sa_layer_norm/Add_1_output_0"> |
| 12880 | <dim>-1</dim> |
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| 12882 | <dim>768</dim> |
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| 12892 | <port id="0" precision="FP32" names="onnx::MatMul_850"> |
| 12893 | <dim>768</dim> |
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| 12898 | <layer id="759" name="/distilbert/transformer/layer.5/ffn/lin1/MatMul" type="MatMul" version="opset1"> |
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| 12904 | <port id="0" precision="FP32"> |
| 12905 | <dim>-1</dim> |
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| 12907 | <dim>768</dim> |
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| 12909 | <port id="1" precision="FP32"> |
| 12910 | <dim>768</dim> |
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| 12914 | <output> |
| 12915 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.5/ffn/lin1/MatMul_output_0"> |
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| 12918 | <dim>3072</dim> |
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| 12928 | <port id="0" precision="FP32"> |
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| 12932 | <dim>-1</dim> |
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| 12934 | <dim>3072</dim> |
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| 12938 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.5/ffn/lin1/Add_output_0"> |
| 12939 | <dim>-1</dim> |
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| 12941 | <dim>3072</dim> |
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| 12951 | <port id="0" precision="FP32" names="/distilbert/transformer/layer.5/ffn/activation/Constant_output_0" /> |
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| 12960 | <port id="0" precision="FP32"> |
| 12961 | <dim>-1</dim> |
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| 12969 | <dim>-1</dim> |
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| 12971 | <dim>3072</dim> |
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| 12975 | <layer id="763" name="/distilbert/transformer/layer.5/ffn/activation/Erf" type="Erf" version="opset1"> |
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| 12981 | <dim>-1</dim> |
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| 12986 | <output> |
| 12987 | <port id="1" precision="FP32" names="/distilbert/transformer/layer.5/ffn/activation/Erf_output_0"> |
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| 12990 | <dim>3072</dim> |
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| 13000 | <port id="0" precision="FP32" names="/distilbert/transformer/layer.5/ffn/activation/Constant_1_output_0" /> |
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| 13003 | <layer id="765" name="/distilbert/transformer/layer.5/ffn/activation/Add" type="Add" version="opset1"> |
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| 13024 | <layer id="766" name="/distilbert/transformer/layer.5/ffn/activation/Mul" type="Multiply" version="opset1"> |
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| 13038 | <dim>3072</dim> |
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| 13043 | <dim>-1</dim> |
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| 13045 | <dim>3072</dim> |
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| 13058 | <layer id="768" name="/distilbert/transformer/layer.5/ffn/activation/Mul_1" type="Multiply" version="opset1"> |
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| 13072 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.5/ffn/activation/Mul_1_output_0"> |
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| 13086 | <dim>3072</dim> |
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| 13091 | <layer id="770" name="/distilbert/transformer/layer.5/ffn/lin2/MatMul" type="MatMul" version="opset1"> |
| 13092 | <data transpose_a="false" transpose_b="false" /> |
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| 13103 | <dim>3072</dim> |
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| 13108 | <port id="2" precision="FP32" names="/distilbert/transformer/layer.5/ffn/lin2/MatMul_output_0"> |
| 13109 | <dim>-1</dim> |
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| 13111 | <dim>768</dim> |
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| 13115 | <layer id="771" name="/distilbert/transformer/layer.5/ffn/lin2/Add" type="Add" version="opset1"> |
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| 13124 | <port id="1" precision="FP32"> |
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| 13132 | <dim>-1</dim> |
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| 13134 | <dim>768</dim> |
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| 13138 | <layer id="772" name="/distilbert/transformer/layer.5/Add_1" type="Add" version="opset1"> |
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| 13149 | <port id="1" precision="FP32"> |
| 13150 | <dim>-1</dim> |
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| 13152 | <dim>768</dim> |
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| 13159 | <dim>768</dim> |
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| 13183 | <dim>768</dim> |
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| 13204 | <dim>-1</dim> |
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| 13218 | <dim>768</dim> |
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| 13228 | <port id="0" precision="FP32" names="/distilbert/transformer/layer.5/output_layer_norm/Constant_output_0" /> |
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| 13238 | <dim>-1</dim> |
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| 13240 | <dim>768</dim> |
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| 14525 | <edge from-layer="798" from-port="2" to-layer="799" to-port="0" /> |
| 14526 | </edges> |
| 14527 | <rt_info /> |
| 14528 | </net> |
| 14529 | |