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  1. 2025-11-25/runs/23971-19685364855/ci_results_run_models_gpu/model_results.json +878 -0
2025-11-25/runs/23971-19685364855/ci_results_run_models_gpu/model_results.json ADDED
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118
+ "line": "tests/models/fsmt/test_modeling_fsmt.py::FSMTModelIntegrationTests::test_translation_direct_0_en_ru",
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122
+ "line": "tests/models/fsmt/test_modeling_fsmt.py::FSMTModelIntegrationTests::test_translation_direct_1_ru_en",
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+ "trace": "(line 3223) RuntimeError: The weights trying to be saved contained shared tensors [{'model.decoder.embed_tokens.weight', 'model.decoder.output_projection.weight'}] which are not properly defined. We found `_tied_weights_keys` to be: set()."
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+ },
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126
+ "line": "tests/models/fsmt/test_modeling_fsmt.py::FSMTModelIntegrationTests::test_translation_pipeline_0_en_ru",
127
+ "trace": "(line 3223) RuntimeError: The weights trying to be saved contained shared tensors [{'model.decoder.embed_tokens.weight', 'model.decoder.output_projection.weight'}] which are not properly defined. We found `_tied_weights_keys` to be: set()."
128
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130
+ "line": "tests/models/fsmt/test_modeling_fsmt.py::FSMTModelIntegrationTests::test_translation_pipeline_1_ru_en",
131
+ "trace": "(line 3223) RuntimeError: The weights trying to be saved contained shared tensors [{'model.decoder.embed_tokens.weight', 'model.decoder.output_projection.weight'}] which are not properly defined. We found `_tied_weights_keys` to be: set()."
132
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139
+ {
140
+ "line": "tests/models/fsmt/test_modeling_fsmt.py::FSMTModelIntegrationTests::test_translation_direct_0_en_ru",
141
+ "trace": "(line 3223) RuntimeError: The weights trying to be saved contained shared tensors [{'model.decoder.embed_tokens.weight', 'model.decoder.output_projection.weight'}] which are not properly defined. We found `_tied_weights_keys` to be: set()."
142
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145
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146
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148
+ "line": "tests/models/fsmt/test_modeling_fsmt.py::FSMTModelIntegrationTests::test_translation_pipeline_0_en_ru",
149
+ "trace": "(line 3223) RuntimeError: The weights trying to be saved contained shared tensors [{'model.decoder.embed_tokens.weight', 'model.decoder.output_projection.weight'}] which are not properly defined. We found `_tied_weights_keys` to be: set()."
150
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152
+ "line": "tests/models/fsmt/test_modeling_fsmt.py::FSMTModelIntegrationTests::test_translation_pipeline_1_ru_en",
153
+ "trace": "(line 3223) RuntimeError: The weights trying to be saved contained shared tensors [{'model.decoder.embed_tokens.weight', 'model.decoder.output_projection.weight'}] which are not properly defined. We found `_tied_weights_keys` to be: set()."
154
+ }
155
+ ]
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+ "single": "https://github.com/huggingface/transformers/actions/runs/19685364855/job/56390042913#step:16:1"
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222
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284
+ {
285
+ "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_batched_generation",
286
+ "trace": "(line 555) AssertionError: Lists differ: [\"\\n [52 chars]ANT: In the two images, the primary difference[287 chars]ama'] != [\"\\n [52 chars]ANT: The difference between the two images is [304 chars]the']"
287
+ },
288
+ {
289
+ "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_generation_no_images",
290
+ "trace": "(line 401) torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 86.00 MiB. GPU 0 has a total capacity of 22.30 GiB of which 62.69 MiB is free. Process 22359 has 22.23 GiB memory in use. Of the allocated memory 21.73 GiB is allocated by PyTorch, and 14.09 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)"
291
+ },
292
+ {
293
+ "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_pixtral_4bit",
294
+ "trace": "(line 401) torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 40.00 MiB. GPU 0 has a total capacity of 22.30 GiB of which 30.69 MiB is free. Process 22359 has 22.27 GiB memory in use. Of the allocated memory 21.78 GiB is allocated by PyTorch, and 3.87 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)"
295
+ },
296
+ {
297
+ "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_pixtral_batched",
298
+ "trace": "(line 401) torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.25 GiB. GPU 0 has a total capacity of 22.30 GiB of which 704.00 KiB is free. Process 22359 has 22.29 GiB memory in use. Of the allocated memory 21.81 GiB is allocated by PyTorch, and 1.70 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)"
299
+ },
300
+ {
301
+ "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_small_model_integration_test",
302
+ "trace": "(line 401) torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 112.00 MiB. GPU 0 has a total capacity of 22.30 GiB of which 28.69 MiB is free. Process 22359 has 22.27 GiB memory in use. Of the allocated memory 21.75 GiB is allocated by PyTorch, and 28.53 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)"
303
+ },
304
+ {
305
+ "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_small_model_integration_test_batch",
306
+ "trace": "(line 1364) NotImplementedError: Cannot copy out of meta tensor; no data! Please use torch.nn.Module.to_empty() instead of torch.nn.Module.to() when moving module from meta to a different device."
307
+ }
308
+ ],
309
+ "single": [
310
+ {
311
+ "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_batched_generation",
312
+ "trace": "(line 184) torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 148.00 MiB. GPU 0 has a total capacity of 22.30 GiB of which 24.69 MiB is free. Process 17921 has 22.27 GiB memory in use. Of the allocated memory 21.00 GiB is allocated by PyTorch, and 910.30 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)"
313
+ },
314
+ {
315
+ "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_generation_no_images",
316
+ "trace": "(line 401) torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 252.00 MiB. GPU 0 has a total capacity of 22.30 GiB of which 172.69 MiB is free. Process 17921 has 22.13 GiB memory in use. Of the allocated memory 20.71 GiB is allocated by PyTorch, and 1.03 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)"
317
+ },
318
+ {
319
+ "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_pixtral_4bit",
320
+ "trace": "(line 401) torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 40.00 MiB. GPU 0 has a total capacity of 22.30 GiB of which 16.69 MiB is free. Process 17921 has 22.28 GiB memory in use. Of the allocated memory 21.89 GiB is allocated by PyTorch, and 2.50 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)"
321
+ },
322
+ {
323
+ "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_pixtral_batched",
324
+ "trace": "(line 401) torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.25 GiB. GPU 0 has a total capacity of 22.30 GiB of which 6.69 MiB is free. Process 17921 has 22.29 GiB memory in use. Of the allocated memory 21.90 GiB is allocated by PyTorch, and 2.18 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)"
325
+ },
326
+ {
327
+ "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_small_model_integration_test",
328
+ "trace": "(line 401) torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 112.00 MiB. GPU 0 has a total capacity of 22.30 GiB of which 40.69 MiB is free. Process 17921 has 22.26 GiB memory in use. Of the allocated memory 21.83 GiB is allocated by PyTorch, and 44.48 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)"
329
+ },
330
+ {
331
+ "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_small_model_integration_test_batch",
332
+ "trace": "(line 401) torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 112.00 MiB. GPU 0 has a total capacity of 22.30 GiB of which 98.69 MiB is free. Process 17921 has 22.20 GiB memory in use. Of the allocated memory 21.75 GiB is allocated by PyTorch, and 68.16 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)"
333
+ },
334
+ {
335
+ "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_small_model_integration_test_llama_batched",
336
+ "trace": "(line 401) torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 86.00 MiB. GPU 0 has a total capacity of 22.30 GiB of which 14.69 MiB is free. Process 17921 has 22.28 GiB memory in use. Of the allocated memory 21.88 GiB is allocated by PyTorch, and 21.51 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)"
337
+ },
338
+ {
339
+ "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_small_model_integration_test_llama_batched_regression",
340
+ "trace": "(line 401) torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU 0 has a total capacity of 22.30 GiB of which 16.69 MiB is free. Process 17921 has 22.28 GiB memory in use. Of the allocated memory 21.87 GiB is allocated by PyTorch, and 28.31 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)"
341
+ },
342
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343
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875
+ "single": "https://github.com/huggingface/transformers/actions/runs/19685364855/job/56390042925#step:16:1"
876
+ }
877
+ }
878
+ }