hf-transformers-bot commited on
Commit
a23a413
·
verified ·
1 Parent(s): 7023deb

Upload 2025-12-12/runs/25291-20162737239/ci_results_run_models_gpu/model_results.json with huggingface_hub

Browse files
2025-12-12/runs/25291-20162737239/ci_results_run_models_gpu/model_results.json ADDED
@@ -0,0 +1,1285 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "models_bart": {
3
+ "failed": {
4
+ "PyTorch": {
5
+ "unclassified": 0,
6
+ "single": 1,
7
+ "multi": 1
8
+ },
9
+ "Tokenizers": {
10
+ "unclassified": 0,
11
+ "single": 0,
12
+ "multi": 0
13
+ },
14
+ "Pipelines": {
15
+ "unclassified": 0,
16
+ "single": 0,
17
+ "multi": 0
18
+ },
19
+ "Trainer": {
20
+ "unclassified": 0,
21
+ "single": 0,
22
+ "multi": 0
23
+ },
24
+ "ONNX": {
25
+ "unclassified": 0,
26
+ "single": 0,
27
+ "multi": 0
28
+ },
29
+ "Auto": {
30
+ "unclassified": 0,
31
+ "single": 0,
32
+ "multi": 0
33
+ },
34
+ "Quantization": {
35
+ "unclassified": 0,
36
+ "single": 0,
37
+ "multi": 0
38
+ },
39
+ "Unclassified": {
40
+ "unclassified": 0,
41
+ "single": 0,
42
+ "multi": 0
43
+ }
44
+ },
45
+ "errors": 0,
46
+ "success": 470,
47
+ "skipped": 312,
48
+ "time_spent": [
49
+ 219.55,
50
+ 212.69
51
+ ],
52
+ "error": false,
53
+ "failures": {
54
+ "single": [
55
+ {
56
+ "line": "tests/models/bart/test_modeling_bart.py::BartModelIntegrationTests::test_inference_no_head",
57
+ "trace": "(line 907) AssertionError: The values for attribute 'dtype' do not match: torch.float16 != torch.float32."
58
+ }
59
+ ],
60
+ "multi": [
61
+ {
62
+ "line": "tests/models/bart/test_modeling_bart.py::BartModelIntegrationTests::test_inference_no_head",
63
+ "trace": "(line 907) AssertionError: The values for attribute 'dtype' do not match: torch.float16 != torch.float32."
64
+ }
65
+ ]
66
+ },
67
+ "job_link": {
68
+ "single": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879307970",
69
+ "multi": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879308050"
70
+ },
71
+ "captured_info": {
72
+ "single": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879307970#step:16:1",
73
+ "multi": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879308050#step:16:1"
74
+ }
75
+ },
76
+ "models_bigbird_pegasus": {
77
+ "failed": {
78
+ "PyTorch": {
79
+ "unclassified": 0,
80
+ "single": 1,
81
+ "multi": 1
82
+ },
83
+ "Tokenizers": {
84
+ "unclassified": 0,
85
+ "single": 0,
86
+ "multi": 0
87
+ },
88
+ "Pipelines": {
89
+ "unclassified": 0,
90
+ "single": 0,
91
+ "multi": 0
92
+ },
93
+ "Trainer": {
94
+ "unclassified": 0,
95
+ "single": 0,
96
+ "multi": 0
97
+ },
98
+ "ONNX": {
99
+ "unclassified": 0,
100
+ "single": 0,
101
+ "multi": 0
102
+ },
103
+ "Auto": {
104
+ "unclassified": 0,
105
+ "single": 0,
106
+ "multi": 0
107
+ },
108
+ "Quantization": {
109
+ "unclassified": 0,
110
+ "single": 0,
111
+ "multi": 0
112
+ },
113
+ "Unclassified": {
114
+ "unclassified": 0,
115
+ "single": 0,
116
+ "multi": 0
117
+ }
118
+ },
119
+ "errors": 0,
120
+ "success": 312,
121
+ "skipped": 438,
122
+ "time_spent": [
123
+ 137.21,
124
+ 136.88
125
+ ],
126
+ "error": false,
127
+ "failures": {
128
+ "single": [
129
+ {
130
+ "line": "tests/models/bigbird_pegasus/test_modeling_bigbird_pegasus.py::BigBirdPegasusModelIntegrationTests::test_seq_to_seq_generation",
131
+ "trace": "(line 687) AssertionError: False is not true"
132
+ }
133
+ ],
134
+ "multi": [
135
+ {
136
+ "line": "tests/models/bigbird_pegasus/test_modeling_bigbird_pegasus.py::BigBirdPegasusModelIntegrationTests::test_seq_to_seq_generation",
137
+ "trace": "(line 687) AssertionError: False is not true"
138
+ }
139
+ ]
140
+ },
141
+ "job_link": {
142
+ "single": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879307964",
143
+ "multi": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879308053"
144
+ },
145
+ "captured_info": {}
146
+ },
147
+ "models_blenderbot_small": {
148
+ "failed": {
149
+ "PyTorch": {
150
+ "unclassified": 0,
151
+ "single": 0,
152
+ "multi": 0
153
+ },
154
+ "Tokenizers": {
155
+ "unclassified": 0,
156
+ "single": 0,
157
+ "multi": 0
158
+ },
159
+ "Pipelines": {
160
+ "unclassified": 0,
161
+ "single": 0,
162
+ "multi": 0
163
+ },
164
+ "Trainer": {
165
+ "unclassified": 0,
166
+ "single": 0,
167
+ "multi": 0
168
+ },
169
+ "ONNX": {
170
+ "unclassified": 0,
171
+ "single": 0,
172
+ "multi": 0
173
+ },
174
+ "Auto": {
175
+ "unclassified": 0,
176
+ "single": 0,
177
+ "multi": 0
178
+ },
179
+ "Quantization": {
180
+ "unclassified": 0,
181
+ "single": 0,
182
+ "multi": 0
183
+ },
184
+ "Unclassified": {
185
+ "unclassified": 0,
186
+ "single": 0,
187
+ "multi": 0
188
+ }
189
+ },
190
+ "errors": 0,
191
+ "success": 534,
192
+ "skipped": 318,
193
+ "time_spent": [
194
+ 171.66,
195
+ 170.17
196
+ ],
197
+ "error": false,
198
+ "failures": {},
199
+ "job_link": {
200
+ "multi": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879307994",
201
+ "single": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879307999"
202
+ },
203
+ "captured_info": {}
204
+ },
205
+ "models_d_fine": {
206
+ "failed": {
207
+ "PyTorch": {
208
+ "unclassified": 0,
209
+ "single": 1,
210
+ "multi": 1
211
+ },
212
+ "Tokenizers": {
213
+ "unclassified": 0,
214
+ "single": 0,
215
+ "multi": 0
216
+ },
217
+ "Pipelines": {
218
+ "unclassified": 0,
219
+ "single": 0,
220
+ "multi": 0
221
+ },
222
+ "Trainer": {
223
+ "unclassified": 0,
224
+ "single": 0,
225
+ "multi": 0
226
+ },
227
+ "ONNX": {
228
+ "unclassified": 0,
229
+ "single": 0,
230
+ "multi": 0
231
+ },
232
+ "Auto": {
233
+ "unclassified": 0,
234
+ "single": 0,
235
+ "multi": 0
236
+ },
237
+ "Quantization": {
238
+ "unclassified": 0,
239
+ "single": 0,
240
+ "multi": 0
241
+ },
242
+ "Unclassified": {
243
+ "unclassified": 0,
244
+ "single": 0,
245
+ "multi": 0
246
+ }
247
+ },
248
+ "errors": 0,
249
+ "success": 107,
250
+ "skipped": 247,
251
+ "time_spent": [
252
+ 96.17,
253
+ 98.98
254
+ ],
255
+ "error": false,
256
+ "failures": {
257
+ "single": [
258
+ {
259
+ "line": "tests/models/d_fine/test_modeling_d_fine.py::DFineModelIntegrationTest::test_inference_object_detection_head",
260
+ "trace": "(line 741) AssertionError: Tensor-likes are not close!"
261
+ }
262
+ ],
263
+ "multi": [
264
+ {
265
+ "line": "tests/models/d_fine/test_modeling_d_fine.py::DFineModelIntegrationTest::test_inference_object_detection_head",
266
+ "trace": "(line 741) AssertionError: Tensor-likes are not close!"
267
+ }
268
+ ]
269
+ },
270
+ "job_link": {
271
+ "single": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879307982",
272
+ "multi": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879308065"
273
+ },
274
+ "captured_info": {
275
+ "single": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879307982#step:16:1",
276
+ "multi": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879308065#step:16:1"
277
+ }
278
+ },
279
+ "models_dab_detr": {
280
+ "failed": {
281
+ "PyTorch": {
282
+ "unclassified": 0,
283
+ "single": 1,
284
+ "multi": 2
285
+ },
286
+ "Tokenizers": {
287
+ "unclassified": 0,
288
+ "single": 0,
289
+ "multi": 0
290
+ },
291
+ "Pipelines": {
292
+ "unclassified": 0,
293
+ "single": 0,
294
+ "multi": 0
295
+ },
296
+ "Trainer": {
297
+ "unclassified": 0,
298
+ "single": 0,
299
+ "multi": 0
300
+ },
301
+ "ONNX": {
302
+ "unclassified": 0,
303
+ "single": 0,
304
+ "multi": 0
305
+ },
306
+ "Auto": {
307
+ "unclassified": 0,
308
+ "single": 0,
309
+ "multi": 0
310
+ },
311
+ "Quantization": {
312
+ "unclassified": 0,
313
+ "single": 0,
314
+ "multi": 0
315
+ },
316
+ "Unclassified": {
317
+ "unclassified": 0,
318
+ "single": 0,
319
+ "multi": 0
320
+ }
321
+ },
322
+ "errors": 0,
323
+ "success": 100,
324
+ "skipped": 245,
325
+ "time_spent": [
326
+ 67.59,
327
+ 69.69
328
+ ],
329
+ "error": false,
330
+ "failures": {
331
+ "single": [
332
+ {
333
+ "line": "tests/models/dab_detr/test_modeling_dab_detr.py::DabDetrModelIntegrationTests::test_inference_no_head",
334
+ "trace": "(line 740) AssertionError: Tensor-likes are not close!"
335
+ }
336
+ ],
337
+ "multi": [
338
+ {
339
+ "line": "tests/models/dab_detr/test_modeling_dab_detr.py::DabDetrModelTest::test_model_parallelism",
340
+ "trace": "(line 1088) RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:1 and cuda:0!"
341
+ },
342
+ {
343
+ "line": "tests/models/dab_detr/test_modeling_dab_detr.py::DabDetrModelIntegrationTests::test_inference_no_head",
344
+ "trace": "(line 740) AssertionError: Tensor-likes are not close!"
345
+ }
346
+ ]
347
+ },
348
+ "job_link": {
349
+ "single": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879307960",
350
+ "multi": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879308025"
351
+ },
352
+ "captured_info": {
353
+ "single": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879307960#step:16:1",
354
+ "multi": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879308025#step:16:1"
355
+ }
356
+ },
357
+ "models_deformable_detr": {
358
+ "failed": {
359
+ "PyTorch": {
360
+ "unclassified": 0,
361
+ "single": 3,
362
+ "multi": 3
363
+ },
364
+ "Tokenizers": {
365
+ "unclassified": 0,
366
+ "single": 0,
367
+ "multi": 0
368
+ },
369
+ "Pipelines": {
370
+ "unclassified": 0,
371
+ "single": 0,
372
+ "multi": 0
373
+ },
374
+ "Trainer": {
375
+ "unclassified": 0,
376
+ "single": 0,
377
+ "multi": 0
378
+ },
379
+ "ONNX": {
380
+ "unclassified": 0,
381
+ "single": 0,
382
+ "multi": 0
383
+ },
384
+ "Auto": {
385
+ "unclassified": 0,
386
+ "single": 0,
387
+ "multi": 0
388
+ },
389
+ "Quantization": {
390
+ "unclassified": 0,
391
+ "single": 0,
392
+ "multi": 0
393
+ },
394
+ "Unclassified": {
395
+ "unclassified": 0,
396
+ "single": 0,
397
+ "multi": 0
398
+ }
399
+ },
400
+ "errors": 0,
401
+ "success": 160,
402
+ "skipped": 248,
403
+ "time_spent": [
404
+ 71.61,
405
+ 74.16
406
+ ],
407
+ "error": false,
408
+ "failures": {
409
+ "single": [
410
+ {
411
+ "line": "tests/models/deformable_detr/test_modeling_deformable_detr.py::DeformableDetrModelIntegrationTests::test_inference_object_detection_head",
412
+ "trace": "(line 2312) ValueError: There is an issue with your definition of `tie_weights_keys` for ^bbox_embed:^model.decoder.bbox_embed. We found ['bbox_embed.0.layers.0.bias', 'bbox_embed.0.layers.0.weight', 'bbox_embed.0.layers.1.bias', 'bbox_embed.0.layers.1.weight', 'bbox_embed.0.layers.2.bias', 'bbox_embed.0.layers.2.weight', 'bbox_embed.1.layers.0.bias', 'bbox_embed.1.layers.0.weight', 'bbox_embed.1.layers.1.bias', 'bbox_embed.1.layers.1.weight', 'bbox_embed.1.layers.2.bias', 'bbox_embed.1.layers.2.weight', 'bbox_embed.2.layers.0.bias', 'bbox_embed.2.layers.0.weight', 'bbox_embed.2.layers.1.bias', 'bbox_embed.2.layers.1.weight', 'bbox_embed.2.layers.2.bias', 'bbox_embed.2.layers.2.weight', 'bbox_embed.3.layers.0.bias', 'bbox_embed.3.layers.0.weight', 'bbox_embed.3.layers.1.bias', 'bbox_embed.3.layers.1.weight', 'bbox_embed.3.layers.2.bias', 'bbox_embed.3.layers.2.weight', 'bbox_embed.4.layers.0.bias', 'bbox_embed.4.layers.0.weight', 'bbox_embed.4.layers.1.bias', 'bbox_embed.4.layers.1.weight', 'bbox_embed.4.layers.2.bias', 'bbox_embed.4.layers.2.weight', 'bbox_embed.5.layers.0.bias', 'bbox_embed.5.layers.0.weight', 'bbox_embed.5.layers.1.bias', 'bbox_embed.5.layers.1.weight', 'bbox_embed.5.layers.2.bias', 'bbox_embed.5.layers.2.weight'] to tie into []"
413
+ },
414
+ {
415
+ "line": "tests/models/deformable_detr/test_modeling_deformable_detr.py::DeformableDetrModelIntegrationTests::test_inference_object_detection_head_equivalence_cpu_accelerator",
416
+ "trace": "(line 2312) ValueError: There is an issue with your definition of `tie_weights_keys` for ^bbox_embed:^model.decoder.bbox_embed. We found ['bbox_embed.0.layers.0.bias', 'bbox_embed.0.layers.0.weight', 'bbox_embed.0.layers.1.bias', 'bbox_embed.0.layers.1.weight', 'bbox_embed.0.layers.2.bias', 'bbox_embed.0.layers.2.weight', 'bbox_embed.1.layers.0.bias', 'bbox_embed.1.layers.0.weight', 'bbox_embed.1.layers.1.bias', 'bbox_embed.1.layers.1.weight', 'bbox_embed.1.layers.2.bias', 'bbox_embed.1.layers.2.weight', 'bbox_embed.2.layers.0.bias', 'bbox_embed.2.layers.0.weight', 'bbox_embed.2.layers.1.bias', 'bbox_embed.2.layers.1.weight', 'bbox_embed.2.layers.2.bias', 'bbox_embed.2.layers.2.weight', 'bbox_embed.3.layers.0.bias', 'bbox_embed.3.layers.0.weight', 'bbox_embed.3.layers.1.bias', 'bbox_embed.3.layers.1.weight', 'bbox_embed.3.layers.2.bias', 'bbox_embed.3.layers.2.weight', 'bbox_embed.4.layers.0.bias', 'bbox_embed.4.layers.0.weight', 'bbox_embed.4.layers.1.bias', 'bbox_embed.4.layers.1.weight', 'bbox_embed.4.layers.2.bias', 'bbox_embed.4.layers.2.weight', 'bbox_embed.5.layers.0.bias', 'bbox_embed.5.layers.0.weight', 'bbox_embed.5.layers.1.bias', 'bbox_embed.5.layers.1.weight', 'bbox_embed.5.layers.2.bias', 'bbox_embed.5.layers.2.weight'] to tie into []"
417
+ },
418
+ {
419
+ "line": "tests/models/deformable_detr/test_modeling_deformable_detr.py::DeformableDetrModelIntegrationTests::test_inference_object_detection_head_with_box_refine_two_stage",
420
+ "trace": "(line 715) AssertionError: Tensor-likes are not close!"
421
+ }
422
+ ],
423
+ "multi": [
424
+ {
425
+ "line": "tests/models/deformable_detr/test_modeling_deformable_detr.py::DeformableDetrModelIntegrationTests::test_inference_object_detection_head",
426
+ "trace": "(line 2312) ValueError: There is an issue with your definition of `tie_weights_keys` for ^bbox_embed:^model.decoder.bbox_embed. We found ['bbox_embed.0.layers.0.bias', 'bbox_embed.0.layers.0.weight', 'bbox_embed.0.layers.1.bias', 'bbox_embed.0.layers.1.weight', 'bbox_embed.0.layers.2.bias', 'bbox_embed.0.layers.2.weight', 'bbox_embed.1.layers.0.bias', 'bbox_embed.1.layers.0.weight', 'bbox_embed.1.layers.1.bias', 'bbox_embed.1.layers.1.weight', 'bbox_embed.1.layers.2.bias', 'bbox_embed.1.layers.2.weight', 'bbox_embed.2.layers.0.bias', 'bbox_embed.2.layers.0.weight', 'bbox_embed.2.layers.1.bias', 'bbox_embed.2.layers.1.weight', 'bbox_embed.2.layers.2.bias', 'bbox_embed.2.layers.2.weight', 'bbox_embed.3.layers.0.bias', 'bbox_embed.3.layers.0.weight', 'bbox_embed.3.layers.1.bias', 'bbox_embed.3.layers.1.weight', 'bbox_embed.3.layers.2.bias', 'bbox_embed.3.layers.2.weight', 'bbox_embed.4.layers.0.bias', 'bbox_embed.4.layers.0.weight', 'bbox_embed.4.layers.1.bias', 'bbox_embed.4.layers.1.weight', 'bbox_embed.4.layers.2.bias', 'bbox_embed.4.layers.2.weight', 'bbox_embed.5.layers.0.bias', 'bbox_embed.5.layers.0.weight', 'bbox_embed.5.layers.1.bias', 'bbox_embed.5.layers.1.weight', 'bbox_embed.5.layers.2.bias', 'bbox_embed.5.layers.2.weight'] to tie into []"
427
+ },
428
+ {
429
+ "line": "tests/models/deformable_detr/test_modeling_deformable_detr.py::DeformableDetrModelIntegrationTests::test_inference_object_detection_head_equivalence_cpu_accelerator",
430
+ "trace": "(line 2312) ValueError: There is an issue with your definition of `tie_weights_keys` for ^bbox_embed:^model.decoder.bbox_embed. We found ['bbox_embed.0.layers.0.bias', 'bbox_embed.0.layers.0.weight', 'bbox_embed.0.layers.1.bias', 'bbox_embed.0.layers.1.weight', 'bbox_embed.0.layers.2.bias', 'bbox_embed.0.layers.2.weight', 'bbox_embed.1.layers.0.bias', 'bbox_embed.1.layers.0.weight', 'bbox_embed.1.layers.1.bias', 'bbox_embed.1.layers.1.weight', 'bbox_embed.1.layers.2.bias', 'bbox_embed.1.layers.2.weight', 'bbox_embed.2.layers.0.bias', 'bbox_embed.2.layers.0.weight', 'bbox_embed.2.layers.1.bias', 'bbox_embed.2.layers.1.weight', 'bbox_embed.2.layers.2.bias', 'bbox_embed.2.layers.2.weight', 'bbox_embed.3.layers.0.bias', 'bbox_embed.3.layers.0.weight', 'bbox_embed.3.layers.1.bias', 'bbox_embed.3.layers.1.weight', 'bbox_embed.3.layers.2.bias', 'bbox_embed.3.layers.2.weight', 'bbox_embed.4.layers.0.bias', 'bbox_embed.4.layers.0.weight', 'bbox_embed.4.layers.1.bias', 'bbox_embed.4.layers.1.weight', 'bbox_embed.4.layers.2.bias', 'bbox_embed.4.layers.2.weight', 'bbox_embed.5.layers.0.bias', 'bbox_embed.5.layers.0.weight', 'bbox_embed.5.layers.1.bias', 'bbox_embed.5.layers.1.weight', 'bbox_embed.5.layers.2.bias', 'bbox_embed.5.layers.2.weight'] to tie into []"
431
+ },
432
+ {
433
+ "line": "tests/models/deformable_detr/test_modeling_deformable_detr.py::DeformableDetrModelIntegrationTests::test_inference_object_detection_head_with_box_refine_two_stage",
434
+ "trace": "(line 715) AssertionError: Tensor-likes are not close!"
435
+ }
436
+ ]
437
+ },
438
+ "job_link": {
439
+ "single": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879307966",
440
+ "multi": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879308015"
441
+ },
442
+ "captured_info": {
443
+ "single": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879307966#step:16:1",
444
+ "multi": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879308015#step:16:1"
445
+ }
446
+ },
447
+ "models_grounding_dino": {
448
+ "failed": {
449
+ "PyTorch": {
450
+ "unclassified": 0,
451
+ "single": 4,
452
+ "multi": 4
453
+ },
454
+ "Tokenizers": {
455
+ "unclassified": 0,
456
+ "single": 0,
457
+ "multi": 0
458
+ },
459
+ "Pipelines": {
460
+ "unclassified": 0,
461
+ "single": 0,
462
+ "multi": 0
463
+ },
464
+ "Trainer": {
465
+ "unclassified": 0,
466
+ "single": 0,
467
+ "multi": 0
468
+ },
469
+ "ONNX": {
470
+ "unclassified": 0,
471
+ "single": 0,
472
+ "multi": 0
473
+ },
474
+ "Auto": {
475
+ "unclassified": 0,
476
+ "single": 0,
477
+ "multi": 0
478
+ },
479
+ "Quantization": {
480
+ "unclassified": 0,
481
+ "single": 0,
482
+ "multi": 0
483
+ },
484
+ "Unclassified": {
485
+ "unclassified": 0,
486
+ "single": 0,
487
+ "multi": 0
488
+ }
489
+ },
490
+ "errors": 0,
491
+ "success": 200,
492
+ "skipped": 312,
493
+ "time_spent": [
494
+ 117.25,
495
+ 116.09
496
+ ],
497
+ "error": false,
498
+ "failures": {
499
+ "single": [
500
+ {
501
+ "line": "tests/models/grounding_dino/test_modeling_grounding_dino.py::GroundingDinoModelIntegrationTests::test_cross_attention_mask",
502
+ "trace": "(line 785) AssertionError: Tensor-likes are not close!"
503
+ },
504
+ {
505
+ "line": "tests/models/grounding_dino/test_modeling_grounding_dino.py::GroundingDinoModelIntegrationTests::test_grounding_dino_loss",
506
+ "trace": "(line 867) AssertionError: Scalars are not close!"
507
+ },
508
+ {
509
+ "line": "tests/models/grounding_dino/test_modeling_grounding_dino.py::GroundingDinoModelIntegrationTests::test_inference_object_detection_head",
510
+ "trace": "(line 676) AssertionError: Tensor-likes are not close!"
511
+ },
512
+ {
513
+ "line": "tests/models/grounding_dino/test_modeling_grounding_dino.py::GroundingDinoModelIntegrationTests::test_inference_object_detection_head_equivalence_cpu_accelerator",
514
+ "trace": "(line 743) AssertionError: Tensor-likes are not close!"
515
+ }
516
+ ],
517
+ "multi": [
518
+ {
519
+ "line": "tests/models/grounding_dino/test_modeling_grounding_dino.py::GroundingDinoModelIntegrationTests::test_cross_attention_mask",
520
+ "trace": "(line 785) AssertionError: Tensor-likes are not close!"
521
+ },
522
+ {
523
+ "line": "tests/models/grounding_dino/test_modeling_grounding_dino.py::GroundingDinoModelIntegrationTests::test_grounding_dino_loss",
524
+ "trace": "(line 867) AssertionError: Scalars are not close!"
525
+ },
526
+ {
527
+ "line": "tests/models/grounding_dino/test_modeling_grounding_dino.py::GroundingDinoModelIntegrationTests::test_inference_object_detection_head",
528
+ "trace": "(line 676) AssertionError: Tensor-likes are not close!"
529
+ },
530
+ {
531
+ "line": "tests/models/grounding_dino/test_modeling_grounding_dino.py::GroundingDinoModelIntegrationTests::test_inference_object_detection_head_equivalence_cpu_accelerator",
532
+ "trace": "(line 743) AssertionError: Tensor-likes are not close!"
533
+ }
534
+ ]
535
+ },
536
+ "job_link": {
537
+ "single": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879307978",
538
+ "multi": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879308017"
539
+ },
540
+ "captured_info": {
541
+ "single": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879307978#step:16:1",
542
+ "multi": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879308017#step:16:1"
543
+ }
544
+ },
545
+ "models_led": {
546
+ "failed": {
547
+ "PyTorch": {
548
+ "unclassified": 0,
549
+ "single": 2,
550
+ "multi": 2
551
+ },
552
+ "Tokenizers": {
553
+ "unclassified": 0,
554
+ "single": 0,
555
+ "multi": 0
556
+ },
557
+ "Pipelines": {
558
+ "unclassified": 0,
559
+ "single": 0,
560
+ "multi": 0
561
+ },
562
+ "Trainer": {
563
+ "unclassified": 0,
564
+ "single": 0,
565
+ "multi": 0
566
+ },
567
+ "ONNX": {
568
+ "unclassified": 0,
569
+ "single": 0,
570
+ "multi": 0
571
+ },
572
+ "Auto": {
573
+ "unclassified": 0,
574
+ "single": 0,
575
+ "multi": 0
576
+ },
577
+ "Quantization": {
578
+ "unclassified": 0,
579
+ "single": 0,
580
+ "multi": 0
581
+ },
582
+ "Unclassified": {
583
+ "unclassified": 0,
584
+ "single": 0,
585
+ "multi": 0
586
+ }
587
+ },
588
+ "errors": 0,
589
+ "success": 151,
590
+ "skipped": 281,
591
+ "time_spent": [
592
+ 68.36,
593
+ 57.29
594
+ ],
595
+ "error": false,
596
+ "failures": {
597
+ "single": [
598
+ {
599
+ "line": "tests/models/led/test_modeling_led.py::LEDModelIntegrationTests::test_inference_head",
600
+ "trace": "(line 546) AssertionError: The values for attribute 'shape' do not match: torch.Size([1, 3, 3]) != torch.Size([3, 3])."
601
+ },
602
+ {
603
+ "line": "tests/models/led/test_modeling_led.py::LEDModelIntegrationTests::test_seq_to_seq_generation",
604
+ "trace": "(line 1331) AttributeError: RobertaTokenizer has no attribute batch_encode_plus. Did you mean: '_encode_plus'?"
605
+ }
606
+ ],
607
+ "multi": [
608
+ {
609
+ "line": "tests/models/led/test_modeling_led.py::LEDModelIntegrationTests::test_inference_head",
610
+ "trace": "(line 546) AssertionError: The values for attribute 'shape' do not match: torch.Size([1, 3, 3]) != torch.Size([3, 3])."
611
+ },
612
+ {
613
+ "line": "tests/models/led/test_modeling_led.py::LEDModelIntegrationTests::test_seq_to_seq_generation",
614
+ "trace": "(line 1331) AttributeError: RobertaTokenizer has no attribute batch_encode_plus. Did you mean: '_encode_plus'?"
615
+ }
616
+ ]
617
+ },
618
+ "job_link": {
619
+ "single": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879308042",
620
+ "multi": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879308018"
621
+ },
622
+ "captured_info": {
623
+ "single": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879308042#step:16:1",
624
+ "multi": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879308018#step:16:1"
625
+ }
626
+ },
627
+ "models_longt5": {
628
+ "failed": {
629
+ "PyTorch": {
630
+ "unclassified": 0,
631
+ "single": 2,
632
+ "multi": 2
633
+ },
634
+ "Tokenizers": {
635
+ "unclassified": 0,
636
+ "single": 0,
637
+ "multi": 0
638
+ },
639
+ "Pipelines": {
640
+ "unclassified": 0,
641
+ "single": 0,
642
+ "multi": 0
643
+ },
644
+ "Trainer": {
645
+ "unclassified": 0,
646
+ "single": 0,
647
+ "multi": 0
648
+ },
649
+ "ONNX": {
650
+ "unclassified": 0,
651
+ "single": 0,
652
+ "multi": 0
653
+ },
654
+ "Auto": {
655
+ "unclassified": 0,
656
+ "single": 0,
657
+ "multi": 0
658
+ },
659
+ "Quantization": {
660
+ "unclassified": 0,
661
+ "single": 0,
662
+ "multi": 0
663
+ },
664
+ "Unclassified": {
665
+ "unclassified": 0,
666
+ "single": 0,
667
+ "multi": 0
668
+ }
669
+ },
670
+ "errors": 0,
671
+ "success": 474,
672
+ "skipped": 834,
673
+ "time_spent": [
674
+ 95.23,
675
+ 92.93
676
+ ],
677
+ "error": false,
678
+ "failures": {
679
+ "multi": [
680
+ {
681
+ "line": "tests/models/longt5/test_modeling_longt5.py::LongT5ModelIntegrationTests::test_inference_hidden_states",
682
+ "trace": "(line 1228) AssertionError: Tensor-likes are not close!"
683
+ },
684
+ {
685
+ "line": "tests/models/longt5/test_modeling_longt5.py::LongT5ModelIntegrationTests::test_summarization",
686
+ "trace": "(line 1197) AssertionError: Lists differ: ['background : coronary artery disease ( ca[601 chars]red'] != ['sss thessass:ss andss toss ofss fillssess[171 chars]se,']"
687
+ }
688
+ ],
689
+ "single": [
690
+ {
691
+ "line": "tests/models/longt5/test_modeling_longt5.py::LongT5ModelIntegrationTests::test_inference_hidden_states",
692
+ "trace": "(line 1228) AssertionError: Tensor-likes are not close!"
693
+ },
694
+ {
695
+ "line": "tests/models/longt5/test_modeling_longt5.py::LongT5ModelIntegrationTests::test_summarization",
696
+ "trace": "(line 1197) AssertionError: Lists differ: ['background : coronary artery disease ( ca[601 chars]red'] != ['sss thessass:ss andss toss ofss fillssess[171 chars]se,']"
697
+ }
698
+ ]
699
+ },
700
+ "job_link": {
701
+ "multi": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879307979",
702
+ "single": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879308029"
703
+ },
704
+ "captured_info": {
705
+ "multi": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879307979#step:16:1",
706
+ "single": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879308029#step:16:1"
707
+ }
708
+ },
709
+ "models_m2m_100": {
710
+ "failed": {
711
+ "PyTorch": {
712
+ "unclassified": 0,
713
+ "single": 1,
714
+ "multi": 1
715
+ },
716
+ "Tokenizers": {
717
+ "unclassified": 0,
718
+ "single": 0,
719
+ "multi": 0
720
+ },
721
+ "Pipelines": {
722
+ "unclassified": 0,
723
+ "single": 0,
724
+ "multi": 0
725
+ },
726
+ "Trainer": {
727
+ "unclassified": 0,
728
+ "single": 0,
729
+ "multi": 0
730
+ },
731
+ "ONNX": {
732
+ "unclassified": 0,
733
+ "single": 0,
734
+ "multi": 0
735
+ },
736
+ "Auto": {
737
+ "unclassified": 0,
738
+ "single": 0,
739
+ "multi": 0
740
+ },
741
+ "Quantization": {
742
+ "unclassified": 0,
743
+ "single": 0,
744
+ "multi": 0
745
+ },
746
+ "Unclassified": {
747
+ "unclassified": 0,
748
+ "single": 0,
749
+ "multi": 0
750
+ }
751
+ },
752
+ "errors": 0,
753
+ "success": 331,
754
+ "skipped": 231,
755
+ "time_spent": [
756
+ 126.33,
757
+ 118.84
758
+ ],
759
+ "error": false,
760
+ "failures": {
761
+ "multi": [
762
+ {
763
+ "line": "tests/models/m2m_100/test_modeling_m2m_100.py::M2M100ModelIntegrationTests::test_seq_to_seq_generation",
764
+ "trace": "(line 418) AssertionError: assert ['</s>__en__T... France.</s>'] == ['</s> __en__... France.</s>']"
765
+ }
766
+ ],
767
+ "single": [
768
+ {
769
+ "line": "tests/models/m2m_100/test_modeling_m2m_100.py::M2M100ModelIntegrationTests::test_seq_to_seq_generation",
770
+ "trace": "(line 418) AssertionError: assert ['</s>__en__T... France.</s>'] == ['</s> __en__... France.</s>']"
771
+ }
772
+ ]
773
+ },
774
+ "job_link": {
775
+ "multi": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879307955",
776
+ "single": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879307961"
777
+ },
778
+ "captured_info": {}
779
+ },
780
+ "models_marian": {
781
+ "failed": {
782
+ "PyTorch": {
783
+ "unclassified": 0,
784
+ "single": 10,
785
+ "multi": 10
786
+ },
787
+ "Tokenizers": {
788
+ "unclassified": 0,
789
+ "single": 0,
790
+ "multi": 0
791
+ },
792
+ "Pipelines": {
793
+ "unclassified": 0,
794
+ "single": 0,
795
+ "multi": 0
796
+ },
797
+ "Trainer": {
798
+ "unclassified": 0,
799
+ "single": 0,
800
+ "multi": 0
801
+ },
802
+ "ONNX": {
803
+ "unclassified": 0,
804
+ "single": 0,
805
+ "multi": 0
806
+ },
807
+ "Auto": {
808
+ "unclassified": 0,
809
+ "single": 0,
810
+ "multi": 0
811
+ },
812
+ "Quantization": {
813
+ "unclassified": 0,
814
+ "single": 0,
815
+ "multi": 0
816
+ },
817
+ "Unclassified": {
818
+ "unclassified": 0,
819
+ "single": 0,
820
+ "multi": 0
821
+ }
822
+ },
823
+ "errors": 0,
824
+ "success": 538,
825
+ "skipped": 332,
826
+ "time_spent": [
827
+ 200.5,
828
+ 207.43
829
+ ],
830
+ "error": false,
831
+ "failures": {
832
+ "single": [
833
+ {
834
+ "line": "tests/models/marian/test_modeling_marian.py::TestMarian_EN_DE_More::test_batch_generation_en_de",
835
+ "trace": "(line 195) AttributeError: 'MarianConfig' object has no attribute 'bad_words_ids'"
836
+ },
837
+ {
838
+ "line": "tests/models/marian/test_modeling_marian.py::TestMarian_EN_DE_More::test_forward",
839
+ "trace": "(line 195) AttributeError: 'MarianConfig' object has no attribute 'bad_words_ids'"
840
+ },
841
+ {
842
+ "line": "tests/models/marian/test_modeling_marian.py::TestMarian_EN_FR::test_batch_generation_en_fr",
843
+ "trace": "(line 195) AttributeError: 'MarianConfig' object has no attribute 'bad_words_ids'"
844
+ },
845
+ {
846
+ "line": "tests/models/marian/test_modeling_marian.py::TestMarian_FR_EN::test_batch_generation_fr_en",
847
+ "trace": "(line 195) AttributeError: 'MarianConfig' object has no attribute 'bad_words_ids'"
848
+ },
849
+ {
850
+ "line": "tests/models/marian/test_modeling_marian.py::TestMarian_RU_FR::test_batch_generation_ru_fr",
851
+ "trace": "(line 195) AttributeError: 'MarianConfig' object has no attribute 'bad_words_ids'"
852
+ },
853
+ {
854
+ "line": "tests/models/marian/test_modeling_marian.py::TestMarian_MT_EN::test_batch_generation_mt_en",
855
+ "trace": "(line 195) AttributeError: 'MarianConfig' object has no attribute 'bad_words_ids'"
856
+ },
857
+ {
858
+ "line": "tests/models/marian/test_modeling_marian.py::TestMarian_en_zh::test_batch_generation_eng_zho",
859
+ "trace": "(line 195) AttributeError: 'MarianConfig' object has no attribute 'bad_words_ids'"
860
+ },
861
+ {
862
+ "line": "tests/models/marian/test_modeling_marian.py::TestMarian_en_ROMANCE::test_batch_generation_en_ROMANCE_multi",
863
+ "trace": "(line 195) AttributeError: 'MarianConfig' object has no attribute 'bad_words_ids'"
864
+ },
865
+ {
866
+ "line": "tests/models/marian/test_modeling_marian.py::TestMarian_en_ROMANCE::test_pipeline",
867
+ "trace": "(line 195) AttributeError: 'MarianConfig' object has no attribute 'bad_words_ids'"
868
+ },
869
+ {
870
+ "line": "tests/models/marian/test_modeling_marian.py::TestMarian_FI_EN_V2::test_batch_generation_fi_en",
871
+ "trace": "(line 195) AttributeError: 'MarianConfig' object has no attribute 'bad_words_ids'"
872
+ }
873
+ ],
874
+ "multi": [
875
+ {
876
+ "line": "tests/models/marian/test_modeling_marian.py::TestMarian_EN_DE_More::test_batch_generation_en_de",
877
+ "trace": "(line 195) AttributeError: 'MarianConfig' object has no attribute 'bad_words_ids'"
878
+ },
879
+ {
880
+ "line": "tests/models/marian/test_modeling_marian.py::TestMarian_EN_DE_More::test_forward",
881
+ "trace": "(line 195) AttributeError: 'MarianConfig' object has no attribute 'bad_words_ids'"
882
+ },
883
+ {
884
+ "line": "tests/models/marian/test_modeling_marian.py::TestMarian_EN_FR::test_batch_generation_en_fr",
885
+ "trace": "(line 195) AttributeError: 'MarianConfig' object has no attribute 'bad_words_ids'"
886
+ },
887
+ {
888
+ "line": "tests/models/marian/test_modeling_marian.py::TestMarian_FR_EN::test_batch_generation_fr_en",
889
+ "trace": "(line 195) AttributeError: 'MarianConfig' object has no attribute 'bad_words_ids'"
890
+ },
891
+ {
892
+ "line": "tests/models/marian/test_modeling_marian.py::TestMarian_RU_FR::test_batch_generation_ru_fr",
893
+ "trace": "(line 195) AttributeError: 'MarianConfig' object has no attribute 'bad_words_ids'"
894
+ },
895
+ {
896
+ "line": "tests/models/marian/test_modeling_marian.py::TestMarian_MT_EN::test_batch_generation_mt_en",
897
+ "trace": "(line 195) AttributeError: 'MarianConfig' object has no attribute 'bad_words_ids'"
898
+ },
899
+ {
900
+ "line": "tests/models/marian/test_modeling_marian.py::TestMarian_en_zh::test_batch_generation_eng_zho",
901
+ "trace": "(line 195) AttributeError: 'MarianConfig' object has no attribute 'bad_words_ids'"
902
+ },
903
+ {
904
+ "line": "tests/models/marian/test_modeling_marian.py::TestMarian_en_ROMANCE::test_batch_generation_en_ROMANCE_multi",
905
+ "trace": "(line 195) AttributeError: 'MarianConfig' object has no attribute 'bad_words_ids'"
906
+ },
907
+ {
908
+ "line": "tests/models/marian/test_modeling_marian.py::TestMarian_en_ROMANCE::test_pipeline",
909
+ "trace": "(line 195) AttributeError: 'MarianConfig' object has no attribute 'bad_words_ids'"
910
+ },
911
+ {
912
+ "line": "tests/models/marian/test_modeling_marian.py::TestMarian_FI_EN_V2::test_batch_generation_fi_en",
913
+ "trace": "(line 195) AttributeError: 'MarianConfig' object has no attribute 'bad_words_ids'"
914
+ }
915
+ ]
916
+ },
917
+ "job_link": {
918
+ "single": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879307974",
919
+ "multi": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879307977"
920
+ },
921
+ "captured_info": {}
922
+ },
923
+ "models_mbart": {
924
+ "failed": {
925
+ "PyTorch": {
926
+ "unclassified": 0,
927
+ "single": 0,
928
+ "multi": 0
929
+ },
930
+ "Tokenizers": {
931
+ "unclassified": 0,
932
+ "single": 0,
933
+ "multi": 0
934
+ },
935
+ "Pipelines": {
936
+ "unclassified": 0,
937
+ "single": 0,
938
+ "multi": 0
939
+ },
940
+ "Trainer": {
941
+ "unclassified": 0,
942
+ "single": 0,
943
+ "multi": 0
944
+ },
945
+ "ONNX": {
946
+ "unclassified": 0,
947
+ "single": 0,
948
+ "multi": 0
949
+ },
950
+ "Auto": {
951
+ "unclassified": 0,
952
+ "single": 0,
953
+ "multi": 0
954
+ },
955
+ "Quantization": {
956
+ "unclassified": 0,
957
+ "single": 0,
958
+ "multi": 0
959
+ },
960
+ "Unclassified": {
961
+ "unclassified": 0,
962
+ "single": 0,
963
+ "multi": 0
964
+ }
965
+ },
966
+ "errors": 0,
967
+ "success": 560,
968
+ "skipped": 316,
969
+ "time_spent": [
970
+ 396.23,
971
+ 399.31
972
+ ],
973
+ "error": false,
974
+ "failures": {},
975
+ "job_link": {
976
+ "multi": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879307965",
977
+ "single": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879307962"
978
+ },
979
+ "captured_info": {}
980
+ },
981
+ "models_mm_grounding_dino": {
982
+ "failed": {
983
+ "PyTorch": {
984
+ "unclassified": 0,
985
+ "single": 3,
986
+ "multi": 3
987
+ },
988
+ "Tokenizers": {
989
+ "unclassified": 0,
990
+ "single": 0,
991
+ "multi": 0
992
+ },
993
+ "Pipelines": {
994
+ "unclassified": 0,
995
+ "single": 0,
996
+ "multi": 0
997
+ },
998
+ "Trainer": {
999
+ "unclassified": 0,
1000
+ "single": 0,
1001
+ "multi": 0
1002
+ },
1003
+ "ONNX": {
1004
+ "unclassified": 0,
1005
+ "single": 0,
1006
+ "multi": 0
1007
+ },
1008
+ "Auto": {
1009
+ "unclassified": 0,
1010
+ "single": 0,
1011
+ "multi": 0
1012
+ },
1013
+ "Quantization": {
1014
+ "unclassified": 0,
1015
+ "single": 0,
1016
+ "multi": 0
1017
+ },
1018
+ "Unclassified": {
1019
+ "unclassified": 0,
1020
+ "single": 0,
1021
+ "multi": 0
1022
+ }
1023
+ },
1024
+ "errors": 0,
1025
+ "success": 98,
1026
+ "skipped": 246,
1027
+ "time_spent": [
1028
+ 97.76,
1029
+ 94.79
1030
+ ],
1031
+ "error": false,
1032
+ "failures": {
1033
+ "single": [
1034
+ {
1035
+ "line": "tests/models/mm_grounding_dino/test_modeling_mm_grounding_dino.py::MMGroundingDinoModelIntegrationTests::test_inference_object_detection_head",
1036
+ "trace": "(line 678) AssertionError: Tensor-likes are not close!"
1037
+ },
1038
+ {
1039
+ "line": "tests/models/mm_grounding_dino/test_modeling_mm_grounding_dino.py::MMGroundingDinoModelIntegrationTests::test_inference_object_detection_head_equivalence_cpu_gpu",
1040
+ "trace": "(line 739) AssertionError: Tensor-likes are not close!"
1041
+ },
1042
+ {
1043
+ "line": "tests/models/mm_grounding_dino/test_modeling_mm_grounding_dino.py::MMGroundingDinoModelIntegrationTests::test_mm_grounding_dino_loss",
1044
+ "trace": "(line 687) AssertionError: False is not true"
1045
+ }
1046
+ ],
1047
+ "multi": [
1048
+ {
1049
+ "line": "tests/models/mm_grounding_dino/test_modeling_mm_grounding_dino.py::MMGroundingDinoModelIntegrationTests::test_inference_object_detection_head",
1050
+ "trace": "(line 678) AssertionError: Tensor-likes are not close!"
1051
+ },
1052
+ {
1053
+ "line": "tests/models/mm_grounding_dino/test_modeling_mm_grounding_dino.py::MMGroundingDinoModelIntegrationTests::test_inference_object_detection_head_equivalence_cpu_gpu",
1054
+ "trace": "(line 739) AssertionError: Tensor-likes are not close!"
1055
+ },
1056
+ {
1057
+ "line": "tests/models/mm_grounding_dino/test_modeling_mm_grounding_dino.py::MMGroundingDinoModelIntegrationTests::test_mm_grounding_dino_loss",
1058
+ "trace": "(line 687) AssertionError: False is not true"
1059
+ }
1060
+ ]
1061
+ },
1062
+ "job_link": {
1063
+ "single": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879307943",
1064
+ "multi": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879307996"
1065
+ },
1066
+ "captured_info": {
1067
+ "single": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879307943#step:16:1",
1068
+ "multi": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879307996#step:16:1"
1069
+ }
1070
+ },
1071
+ "models_mt5": {
1072
+ "failed": {
1073
+ "PyTorch": {
1074
+ "unclassified": 0,
1075
+ "single": 0,
1076
+ "multi": 0
1077
+ },
1078
+ "Tokenizers": {
1079
+ "unclassified": 0,
1080
+ "single": 0,
1081
+ "multi": 0
1082
+ },
1083
+ "Pipelines": {
1084
+ "unclassified": 0,
1085
+ "single": 0,
1086
+ "multi": 0
1087
+ },
1088
+ "Trainer": {
1089
+ "unclassified": 0,
1090
+ "single": 0,
1091
+ "multi": 0
1092
+ },
1093
+ "ONNX": {
1094
+ "unclassified": 0,
1095
+ "single": 0,
1096
+ "multi": 0
1097
+ },
1098
+ "Auto": {
1099
+ "unclassified": 0,
1100
+ "single": 0,
1101
+ "multi": 0
1102
+ },
1103
+ "Quantization": {
1104
+ "unclassified": 0,
1105
+ "single": 0,
1106
+ "multi": 0
1107
+ },
1108
+ "Unclassified": {
1109
+ "unclassified": 0,
1110
+ "single": 0,
1111
+ "multi": 0
1112
+ }
1113
+ },
1114
+ "errors": 0,
1115
+ "success": 269,
1116
+ "skipped": 517,
1117
+ "time_spent": [
1118
+ 70.78,
1119
+ 68.55
1120
+ ],
1121
+ "error": false,
1122
+ "failures": {},
1123
+ "job_link": {
1124
+ "multi": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879307983",
1125
+ "single": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879307927"
1126
+ },
1127
+ "captured_info": {}
1128
+ },
1129
+ "models_mvp": {
1130
+ "failed": {
1131
+ "PyTorch": {
1132
+ "unclassified": 0,
1133
+ "single": 2,
1134
+ "multi": 2
1135
+ },
1136
+ "Tokenizers": {
1137
+ "unclassified": 0,
1138
+ "single": 0,
1139
+ "multi": 0
1140
+ },
1141
+ "Pipelines": {
1142
+ "unclassified": 0,
1143
+ "single": 0,
1144
+ "multi": 0
1145
+ },
1146
+ "Trainer": {
1147
+ "unclassified": 0,
1148
+ "single": 0,
1149
+ "multi": 0
1150
+ },
1151
+ "ONNX": {
1152
+ "unclassified": 0,
1153
+ "single": 0,
1154
+ "multi": 0
1155
+ },
1156
+ "Auto": {
1157
+ "unclassified": 0,
1158
+ "single": 0,
1159
+ "multi": 0
1160
+ },
1161
+ "Quantization": {
1162
+ "unclassified": 0,
1163
+ "single": 0,
1164
+ "multi": 0
1165
+ },
1166
+ "Unclassified": {
1167
+ "unclassified": 0,
1168
+ "single": 0,
1169
+ "multi": 0
1170
+ }
1171
+ },
1172
+ "errors": 0,
1173
+ "success": 308,
1174
+ "skipped": 448,
1175
+ "time_spent": [
1176
+ 72.87,
1177
+ 67.12
1178
+ ],
1179
+ "error": false,
1180
+ "failures": {
1181
+ "single": [
1182
+ {
1183
+ "line": "tests/models/mvp/test_modeling_mvp.py::MvpModelIntegrationTests::test_inference_no_head",
1184
+ "trace": "(line 559) AssertionError: Tensor-likes are not close!"
1185
+ },
1186
+ {
1187
+ "line": "tests/models/mvp/test_modeling_mvp.py::MvpModelIntegrationTests::test_summarization_inference",
1188
+ "trace": "(line 1331) AttributeError: RobertaTokenizer has no attribute batch_encode_plus. Did you mean: '_encode_plus'?"
1189
+ }
1190
+ ],
1191
+ "multi": [
1192
+ {
1193
+ "line": "tests/models/mvp/test_modeling_mvp.py::MvpModelIntegrationTests::test_inference_no_head",
1194
+ "trace": "(line 559) AssertionError: Tensor-likes are not close!"
1195
+ },
1196
+ {
1197
+ "line": "tests/models/mvp/test_modeling_mvp.py::MvpModelIntegrationTests::test_summarization_inference",
1198
+ "trace": "(line 1331) AttributeError: RobertaTokenizer has no attribute batch_encode_plus. Did you mean: '_encode_plus'?"
1199
+ }
1200
+ ]
1201
+ },
1202
+ "job_link": {
1203
+ "single": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879308011",
1204
+ "multi": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879307995"
1205
+ },
1206
+ "captured_info": {
1207
+ "single": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879308011#step:16:1",
1208
+ "multi": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879307995#step:16:1"
1209
+ }
1210
+ },
1211
+ "models_nllb_moe": {
1212
+ "failed": {
1213
+ "PyTorch": {
1214
+ "unclassified": 0,
1215
+ "single": 1,
1216
+ "multi": 1
1217
+ },
1218
+ "Tokenizers": {
1219
+ "unclassified": 0,
1220
+ "single": 0,
1221
+ "multi": 0
1222
+ },
1223
+ "Pipelines": {
1224
+ "unclassified": 0,
1225
+ "single": 0,
1226
+ "multi": 0
1227
+ },
1228
+ "Trainer": {
1229
+ "unclassified": 0,
1230
+ "single": 0,
1231
+ "multi": 0
1232
+ },
1233
+ "ONNX": {
1234
+ "unclassified": 0,
1235
+ "single": 0,
1236
+ "multi": 0
1237
+ },
1238
+ "Auto": {
1239
+ "unclassified": 0,
1240
+ "single": 0,
1241
+ "multi": 0
1242
+ },
1243
+ "Quantization": {
1244
+ "unclassified": 0,
1245
+ "single": 0,
1246
+ "multi": 0
1247
+ },
1248
+ "Unclassified": {
1249
+ "unclassified": 0,
1250
+ "single": 0,
1251
+ "multi": 0
1252
+ }
1253
+ },
1254
+ "errors": 0,
1255
+ "success": 173,
1256
+ "skipped": 267,
1257
+ "time_spent": [
1258
+ 61.47,
1259
+ 62.84
1260
+ ],
1261
+ "error": false,
1262
+ "failures": {
1263
+ "single": [
1264
+ {
1265
+ "line": "tests/models/nllb_moe/test_modeling_nllb_moe.py::NllbMoeModelIntegrationTests::test_inference_logits",
1266
+ "trace": "(line 402) AssertionError: Tensor-likes are not close!"
1267
+ }
1268
+ ],
1269
+ "multi": [
1270
+ {
1271
+ "line": "tests/models/nllb_moe/test_modeling_nllb_moe.py::NllbMoeModelIntegrationTests::test_inference_logits",
1272
+ "trace": "(line 402) AssertionError: Tensor-likes are not close!"
1273
+ }
1274
+ ]
1275
+ },
1276
+ "job_link": {
1277
+ "single": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879307987",
1278
+ "multi": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879308044"
1279
+ },
1280
+ "captured_info": {
1281
+ "single": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879307987#step:16:1",
1282
+ "multi": "https://github.com/huggingface/transformers/actions/runs/20162737239/job/57879308044#step:16:1"
1283
+ }
1284
+ }
1285
+ }