Upload 2025-11-27/runs/24135-19740755485/ci_results_run_models_gpu/model_results.json with huggingface_hub

2025-11-27/runs/24135-19740755485/ci_results_run_models_gpu/model_results.json

@@ -0,0 +1,800 @@
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+                {
+                    "line": "tests/models/blip_2/test_modeling_blip_2.py::Blip2ModelIntegrationTest::test_inference_t5",
+                    "trace": "(line 1597)  AssertionError: Lists differ: [0, 30059, 30059, 30059, 30059, 30059, 30059, [92 chars]0059] != [0, 3, 9, 2335, 19, 1556, 28, 160, 1782, 30, 8, 2608, 1]"
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+                    "line": "tests/models/blip_2/test_modeling_blip_2.py::Blip2ModelIntegrationTest::test_inference_t5_batched_beam_search",
+                    "trace": "(line 1652)  AssertionError: Lists differ: [0, 30059, 30059, 30059, 30059, 30059, 30059, [92 chars]0059] != [0, 3, 9, 2335, 19, 1556, 28, 160, 1782, 30, 8, 2608, 1]"
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+                    "trace": "(line 769)  StopIteration: Caught StopIteration in replica 1 on device 1."
+                },
+                {
+                    "line": "tests/models/blip_2/test_modeling_blip_2.py::Blip2ModelTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 769)  StopIteration: Caught StopIteration in replica 1 on device 1."
+                },
+                {
+                    "line": "tests/models/blip_2/test_modeling_blip_2.py::Blip2TextModelWithProjectionTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 769)  StopIteration: Caught StopIteration in replica 1 on device 1."
+                },
+                {
+                    "line": "tests/models/blip_2/test_modeling_blip_2.py::Blip2VisionModelWithProjectionTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 769)  StopIteration: Caught StopIteration in replica 1 on device 1."
+                },
+                {
+                    "line": "tests/models/blip_2/test_modeling_blip_2.py::Blip2TextRetrievalModelTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 769)  StopIteration: Caught StopIteration in replica 1 on device 1."
+                },
+                {
+                    "line": "tests/models/blip_2/test_modeling_blip_2.py::Blip2ModelIntegrationTest::test_inference_t5",
+                    "trace": "(line 1597)  AssertionError: Lists differ: [0, 30059, 30059, 30059, 30059, 30059, 30059, [92 chars]0059] != [0, 3, 9, 2335, 19, 1556, 28, 160, 1782, 30, 8, 2608, 1]"
+                },
+                {
+                    "line": "tests/models/blip_2/test_modeling_blip_2.py::Blip2ModelIntegrationTest::test_inference_t5_batched_beam_search",
+                    "trace": "(line 1652)  AssertionError: Lists differ: [0, 30059, 30059, 30059, 30059, 30059, 30059, [92 chars]0059] != [0, 3, 9, 2335, 19, 1556, 28, 160, 1782, 30, 8, 2608, 1]"
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+                    "trace": "(line 1721)  AssertionError: Lists differ: [0, 30059, 30059, 30059, 30059, 30059, 30059, [92 chars]0059] != [0, 3, 9, 2335, 19, 1556, 28, 160, 1782, 30, 8, 2608, 1]"
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+                    "trace": "(line 769)  StopIteration: Caught StopIteration in replica 1 on device 1."
+                },
+                {
+                    "line": "tests/models/idefics2/test_modeling_idefics2.py::Idefics2ForConditionalGenerationModelTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 769)  StopIteration: Caught StopIteration in replica 1 on device 1."
+                }
+            ]
+        },
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/19740755485/job/56564162380",
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+                    "line": "tests/models/idefics3/test_modeling_idefics3.py::Idefics3ModelTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 769)  StopIteration: Caught StopIteration in replica 1 on device 1."
+                },
+                {
+                    "line": "tests/models/idefics3/test_modeling_idefics3.py::Idefics3ForConditionalGenerationModelTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 769)  StopIteration: Caught StopIteration in replica 1 on device 1."
+                }
+            ]
+        },
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/19740755485/job/56564162276",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/19740755485/job/56564162385"
+        },
+        "captured_info": {}
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+                "single": 4,
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+            "ONNX": {
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+        "success": 290,
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+            232.73
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+        "error": false,
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniThinkerForConditionalGenerationModelTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 769)  StopIteration: Caught StopIteration in replica 1 on device 1."
+                },
+                {
+                    "line": "tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test",
+                    "trace": "(line 692)  AssertionError: \"syst[95 chars]ant\\n\" != \"syst[95 chars]ant\\nThe sound is glass shattering, and the do[22 chars]ver.\""
+                },
+                {
+                    "line": "tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test_batch",
+                    "trace": "(line 734)  AssertionError: Lists differ: [\"sys[96 chars]ant\\n\", \"system\\nYou are a helpful assistant.\\[64 chars]t\\n\"] != [\"sys[96 chars]ant\\nThe sound is glass shattering, and the do[198 chars]er.\"]"
+                },
+                {
+                    "line": "tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test_multiturn",
+                    "trace": "(line 777)  AssertionError: \"syst[177 chars].\\nuser\\nHow about this one?\\nassistant\\n\" != \"syst[177 chars].\\nuser\\nHow about this one?\\nassistant\\nThe sound is a cough.\""
+                },
+                {
+                    "line": "tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test_w_audio",
+                    "trace": "(line 829)  AssertionError: 'system\\nYou are Qwen, a virtual human de[146 chars]nt\\n' != \"system\\nYou are Qwen, a virtual human de[232 chars]many\""
+                }
+            ],
+            "single": [
+                {
+                    "line": "tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test",
+                    "trace": "(line 692)  AssertionError: \"syst[95 chars]ant\\n\" != \"syst[95 chars]ant\\nThe sound is glass shattering, and the do[22 chars]ver.\""
+                },
+                {
+                    "line": "tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test_batch",
+                    "trace": "(line 734)  AssertionError: Lists differ: [\"sys[96 chars]ant\\n\", \"system\\nYou are a helpful assistant.\\[64 chars]t\\n\"] != [\"sys[96 chars]ant\\nThe sound is glass shattering, and the do[198 chars]er.\"]"
+                },
+                {
+                    "line": "tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test_multiturn",
+                    "trace": "(line 777)  AssertionError: \"syst[177 chars].\\nuser\\nHow about this one?\\nassistant\\n\" != \"syst[177 chars].\\nuser\\nHow about this one?\\nassistant\\nThe sound is a cough.\""
+                },
+                {
+                    "line": "tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test_w_audio",
+                    "trace": "(line 829)  AssertionError: 'system\\nYou are Qwen, a virtual human de[146 chars]nt\\n' != \"system\\nYou are Qwen, a virtual human de[232 chars]many\""
+                }
+            ]
+        },
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/19740755485/job/56564162392",
+            "single": "https://github.com/huggingface/transformers/actions/runs/19740755485/job/56564162293"
+        },
+        "captured_info": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/19740755485/job/56564162392#step:16:1",
+            "single": "https://github.com/huggingface/transformers/actions/runs/19740755485/job/56564162293#step:16:1"
+        }
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+                "single": 2,
+                "multi": 2
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+                "single": 0,
+                "multi": 0
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+            "Pipelines": {
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+                "single": 0,
+                "multi": 0
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+            "Trainer": {
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+                "single": 0,
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+            "ONNX": {
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+                "single": 0,
+                "multi": 0
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+            "Auto": {
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+                "single": 0,
+                "multi": 0
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+            "Quantization": {
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+                "single": 0,
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+            "Unclassified": {
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+            209.91,
+            214.26
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+                {
+                    "line": "tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py::Qwen2_5_VLIntegrationTest::test_small_model_integration_test_batch_different_resolutions",
+                    "trace": "(line 625)  AssertionError: 'syst[73 chars]ant\\n addCriterion\\nThe dog in the picture app[95 chars]h is' != 'syst[73 chars]ant\\nThe dog in the picture appears to be a La[94 chars]t in'"
+                },
+                {
+                    "line": "tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py::Qwen2_5_VLIntegrationTest::test_small_model_integration_test_with_video",
+                    "trace": "(line 744)  AssertionError: Lists differ: ['sys[124 chars]h a player standing on the baseline, preparing[61 chars]ts,'] != ['sys[124 chars]h a person standing on one side, preparing to [68 chars]ing']"
+                }
+            ],
+            "multi": [
+                {
+                    "line": "tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py::Qwen2_5_VLIntegrationTest::test_small_model_integration_test_batch_different_resolutions",
+                    "trace": "(line 625)  AssertionError: 'syst[73 chars]ant\\n addCriterion\\nThe dog in the picture app[95 chars]h is' != 'syst[73 chars]ant\\nThe dog in the picture appears to be a La[94 chars]t in'"
+                },
+                {
+                    "line": "tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py::Qwen2_5_VLIntegrationTest::test_small_model_integration_test_with_video",
+                    "trace": "(line 744)  AssertionError: Lists differ: ['sys[124 chars]h a player standing on the baseline, preparing[61 chars]ts,'] != ['sys[124 chars]h a person standing on one side, preparing to [68 chars]ing']"
+                }
+            ]
+        },
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/19740755485/job/56564162237",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/19740755485/job/56564162444"
+        },
+        "captured_info": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/19740755485/job/56564162237#step:16:1",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/19740755485/job/56564162444#step:16:1"
+        }
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+                {
+                    "line": "tests/models/qwen3_omni_moe/test_modeling_qwen3_omni_moe.py::Qwen3OmniModelIntegrationTest::test_small_model_integration_test",
+                    "trace": "(line 401)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 20.00 MiB. GPU 0 has a total capacity of 22.30 GiB of which 2.69 MiB is free. Process 97442 has 22.29 GiB memory in use. Of the allocated memory 21.87 GiB is allocated by PyTorch, and 57.13 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)"
+                },
+                {
+                    "line": "tests/models/qwen3_omni_moe/test_modeling_qwen3_omni_moe.py::Qwen3OmniModelIntegrationTest::test_small_model_integration_test_batch",
+                    "trace": "(line 536)  ValueError: The current `device_map` had weights offloaded to the disk, which needed to be re-saved. This is either because the weights are not in `safetensors` format, or because the model uses an internal weight format different than the one saved (i.e. most MoE models). Please provide an `offload_folder` for them in `from_pretrained`."
+                },
+                {
+                    "line": "tests/models/qwen3_omni_moe/test_modeling_qwen3_omni_moe.py::Qwen3OmniModelIntegrationTest::test_small_model_integration_test_multiturn",
+                    "trace": "(line 401)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 20.00 MiB. GPU 0 has a total capacity of 22.30 GiB of which 10.69 MiB is free. Process 97442 has 22.29 GiB memory in use. Of the allocated memory 21.87 GiB is allocated by PyTorch, and 55.50 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)"
+                },
+                {
+                    "line": "tests/models/qwen3_omni_moe/test_modeling_qwen3_omni_moe.py::Qwen3OmniModelIntegrationTest::test_small_model_integration_test_w_audio",
+                    "trace": "(line 536)  ValueError: The current `device_map` had weights offloaded to the disk, which needed to be re-saved. This is either because the weights are not in `safetensors` format, or because the model uses an internal weight format different than the one saved (i.e. most MoE models). Please provide an `offload_folder` for them in `from_pretrained`."
+                }
+            ],
+            "multi": [
+                {
+                    "line": "tests/models/qwen3_omni_moe/test_modeling_qwen3_omni_moe.py::Qwen3OmniMoeThinkerForConditionalGenerationModelTest::test_model_parallelism",
+                    "trace": "(line 762)  RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:1 and cuda:0!"
+                },
+                {
+                    "line": "tests/models/qwen3_omni_moe/test_modeling_qwen3_omni_moe.py::Qwen3OmniMoeThinkerForConditionalGenerationModelTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 769)  StopIteration: Caught StopIteration in replica 1 on device 1."
+                },
+                {
+                    "line": "tests/models/qwen3_omni_moe/test_modeling_qwen3_omni_moe.py::Qwen3OmniModelIntegrationTest::test_small_model_integration_test",
+                    "trace": "(line 401)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 16.00 MiB. GPU 0 has a total capacity of 22.30 GiB of which 6.69 MiB is free. Process 134426 has 22.29 GiB memory in use. Of the allocated memory 21.79 GiB is allocated by PyTorch, and 26.13 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)"
+                },
+                {
+                    "line": "tests/models/qwen3_omni_moe/test_modeling_qwen3_omni_moe.py::Qwen3OmniModelIntegrationTest::test_small_model_integration_test_batch",
+                    "trace": "(line 401)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 20.00 MiB. GPU 1 has a total capacity of 22.30 GiB of which 14.69 MiB is free. Process 134426 has 22.28 GiB memory in use. Of the allocated memory 21.78 GiB is allocated by PyTorch, and 91.42 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)"
+                },
+                {
+                    "line": "tests/models/qwen3_omni_moe/test_modeling_qwen3_omni_moe.py::Qwen3OmniModelIntegrationTest::test_small_model_integration_test_multiturn",
+                    "trace": "(line 401)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 20.00 MiB. GPU 0 has a total capacity of 22.30 GiB of which 10.69 MiB is free. Process 134426 has 22.29 GiB memory in use. Of the allocated memory 21.80 GiB is allocated by PyTorch, and 15.49 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)"
+                },
+                {
+                    "line": "tests/models/qwen3_omni_moe/test_modeling_qwen3_omni_moe.py::Qwen3OmniModelIntegrationTest::test_small_model_integration_test_w_audio",
+                    "trace": "(line 401)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 20.00 MiB. GPU 1 has a total capacity of 22.30 GiB of which 6.69 MiB is free. Process 134426 has 22.29 GiB memory in use. Of the allocated memory 21.87 GiB is allocated by PyTorch, and 4.24 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)"
+                }
+            ]
+        },
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/19740755485/job/56564162266",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/19740755485/job/56564162282"
+        },
+        "captured_info": {}
+    },
+    "models_smolvlm": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 1,
+                "multi": 3
+            },
+            "Tokenizers": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Pipelines": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Trainer": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
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+            "ONNX": {
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+                "single": 0,
+                "multi": 0
+            },
+            "Auto": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Quantization": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
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+            122.71,
+            124.38
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+        "failures": {
+            "single": [
+                {
+                    "line": "tests/models/smolvlm/test_modeling_smolvlm.py::SmolVLMForConditionalGenerationIntegrationTest::test_integration_test_video",
+                    "trace": "(line 594)  AssertionError: 'User[310 chars]ideo depicts a large language model architectu[58 chars]ture' != 'User[310 chars]ideo showcases a large language model, specifi[56 chars] and'"
+                }
+            ],
+            "multi": [
+                {
+                    "line": "tests/models/smolvlm/test_modeling_smolvlm.py::SmolVLMModelTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 769)  StopIteration: Caught StopIteration in replica 1 on device 1."
+                },
+                {
+                    "line": "tests/models/smolvlm/test_modeling_smolvlm.py::SmolVLMForConditionalGenerationModelTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 769)  StopIteration: Caught StopIteration in replica 1 on device 1."
+                },
+                {
+                    "line": "tests/models/smolvlm/test_modeling_smolvlm.py::SmolVLMForConditionalGenerationIntegrationTest::test_integration_test_video",
+                    "trace": "(line 594)  AssertionError: 'User[310 chars]ideo depicts a large language model architectu[58 chars]ture' != 'User[310 chars]ideo showcases a large language model, specifi[56 chars] and'"
+                }
+            ]
+        },
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/19740755485/job/56564162260",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/19740755485/job/56564162297"
+        },
+        "captured_info": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/19740755485/job/56564162260#step:16:1",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/19740755485/job/56564162297#step:16:1"
+        }
+    },
+    "models_timm_wrapper": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 2
+            },
+            "Tokenizers": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Pipelines": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Trainer": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "ONNX": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Auto": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Quantization": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Unclassified": {
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+                "single": 0,
+                "multi": 0
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+        "success": 112,
+        "skipped": 248,
+        "time_spent": [
+            40.7,
+            44.43
+        ],
+        "error": false,
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/timm_wrapper/test_modeling_timm_wrapper.py::TimmWrapperModelTest::test_model_parallelism",
+                    "trace": "(line 268)  RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cuda:1!"
+                },
+                {
+                    "line": "tests/models/timm_wrapper/test_modeling_timm_wrapper.py::TimmWrapperModelTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 769)  StopIteration: Caught StopIteration in replica 1 on device 1."
+                }
+            ]
+        },
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/19740755485/job/56564162303",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/19740755485/job/56564162355"
+        },
+        "captured_info": {}
+    }
+}