Upload 2025-12-11/runs/25268-20141816827/ci_results_run_models_gpu/model_results.json with huggingface_hub

2025-12-11/runs/25268-20141816827/ci_results_run_models_gpu/model_results.json

@@ -0,0 +1,1288 @@
+{
+    "models_bart": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 1,
+                "multi": 1
+            },
+            "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": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 470,
+        "skipped": 312,
+        "time_spent": [
+            210.45,
+            216.5
+        ],
+        "error": false,
+        "failures": {
+            "single": [
+                {
+                    "line": "tests/models/bart/test_modeling_bart.py::BartModelIntegrationTests::test_inference_no_head",
+                    "trace": "(line 907)  AssertionError: The values for attribute 'dtype' do not match: torch.float16 != torch.float32."
+                }
+            ],
+            "multi": [
+                {
+                    "line": "tests/models/bart/test_modeling_bart.py::BartModelIntegrationTests::test_inference_no_head",
+                    "trace": "(line 907)  AssertionError: The values for attribute 'dtype' do not match: torch.float16 != torch.float32."
+                }
+            ]
+        },
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/20141816827/job/57811617685",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20141816827/job/57811617676"
+        },
+        "captured_info": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/20141816827/job/57811617685#step:16:1",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20141816827/job/57811617676#step:16:1"
+        }
+    },
+    "models_d_fine": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 1,
+                "multi": 1
+            },
+            "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": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 107,
+        "skipped": 247,
+        "time_spent": [
+            95.54,
+            99.07
+        ],
+        "error": false,
+        "failures": {
+            "single": [
+                {
+                    "line": "tests/models/d_fine/test_modeling_d_fine.py::DFineModelIntegrationTest::test_inference_object_detection_head",
+                    "trace": "(line 741)  AssertionError: Tensor-likes are not close!"
+                }
+            ],
+            "multi": [
+                {
+                    "line": "tests/models/d_fine/test_modeling_d_fine.py::DFineModelIntegrationTest::test_inference_object_detection_head",
+                    "trace": "(line 741)  AssertionError: Tensor-likes are not close!"
+                }
+            ]
+        },
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/20141816827/job/57811617678",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20141816827/job/57811617706"
+        },
+        "captured_info": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/20141816827/job/57811617678#step:16:1",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20141816827/job/57811617706#step:16:1"
+        }
+    },
+    "models_dab_detr": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 1,
+                "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": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 100,
+        "skipped": 245,
+        "time_spent": [
+            68.43,
+            69.14
+        ],
+        "error": false,
+        "failures": {
+            "single": [
+                {
+                    "line": "tests/models/dab_detr/test_modeling_dab_detr.py::DabDetrModelIntegrationTests::test_inference_no_head",
+                    "trace": "(line 740)  AssertionError: Tensor-likes are not close!"
+                }
+            ],
+            "multi": [
+                {
+                    "line": "tests/models/dab_detr/test_modeling_dab_detr.py::DabDetrModelTest::test_model_parallelism",
+                    "trace": "(line 1088)  RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:1 and cuda:0!"
+                },
+                {
+                    "line": "tests/models/dab_detr/test_modeling_dab_detr.py::DabDetrModelIntegrationTests::test_inference_no_head",
+                    "trace": "(line 740)  AssertionError: Tensor-likes are not close!"
+                }
+            ]
+        },
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/20141816827/job/57811617662",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20141816827/job/57811617728"
+        },
+        "captured_info": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/20141816827/job/57811617662#step:16:1",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20141816827/job/57811617728#step:16:1"
+        }
+    },
+    "models_deformable_detr": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 3,
+                "multi": 4
+            },
+            "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": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 159,
+        "skipped": 248,
+        "time_spent": [
+            72.11,
+            75.06
+        ],
+        "error": false,
+        "failures": {
+            "single": [
+                {
+                    "line": "tests/models/deformable_detr/test_modeling_deformable_detr.py::DeformableDetrModelIntegrationTests::test_inference_object_detection_head",
+                    "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 []"
+                },
+                {
+                    "line": "tests/models/deformable_detr/test_modeling_deformable_detr.py::DeformableDetrModelIntegrationTests::test_inference_object_detection_head_equivalence_cpu_accelerator",
+                    "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 []"
+                },
+                {
+                    "line": "tests/models/deformable_detr/test_modeling_deformable_detr.py::DeformableDetrModelIntegrationTests::test_inference_object_detection_head_with_box_refine_two_stage",
+                    "trace": "(line 715)  AssertionError: Tensor-likes are not close!"
+                }
+            ],
+            "multi": [
+                {
+                    "line": "tests/models/deformable_detr/test_modeling_deformable_detr.py::DeformableDetrModelTest::test_batching_equivalence",
+                    "trace": "(line 1110)  AssertionError: Batched and Single row outputs are not equal in DeformableDetrModel for key=encoder_last_hidden_state."
+                },
+                {
+                    "line": "tests/models/deformable_detr/test_modeling_deformable_detr.py::DeformableDetrModelIntegrationTests::test_inference_object_detection_head",
+                    "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 []"
+                },
+                {
+                    "line": "tests/models/deformable_detr/test_modeling_deformable_detr.py::DeformableDetrModelIntegrationTests::test_inference_object_detection_head_equivalence_cpu_accelerator",
+                    "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 []"
+                },
+                {
+                    "line": "tests/models/deformable_detr/test_modeling_deformable_detr.py::DeformableDetrModelIntegrationTests::test_inference_object_detection_head_with_box_refine_two_stage",
+                    "trace": "(line 715)  AssertionError: Tensor-likes are not close!"
+                }
+            ]
+        },
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/20141816827/job/57811617668",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20141816827/job/57811617741"
+        },
+        "captured_info": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/20141816827/job/57811617668#step:16:1",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20141816827/job/57811617741#step:16:1"
+        }
+    },
+    "models_encoder_decoder": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 4,
+                "multi": 4
+            },
+            "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": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 160,
+        "skipped": 16,
+        "time_spent": [
+            87.51,
+            94.78
+        ],
+        "error": false,
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/encoder_decoder/test_modeling_encoder_decoder.py::BertEncoderDecoderModelTest::test_bert2bert_summarization",
+                    "trace": "(line 743)  AssertionError: Lists differ: [\"sae[162 chars]rsity ' s affiliation with the fraternity is p[397 chars]up.\"] != [\"sae[162 chars]rsity's affiliation with the fraternity is per[389 chars]up.\"]"
+                },
+                {
+                    "line": "tests/models/encoder_decoder/test_modeling_encoder_decoder.py::BertGenerationEncoderDecoderModelTest::test_roberta2roberta_summarization",
+                    "trace": "(line 883)  AssertionError: Lists differ: ['ilant waged waged waged waged waged waged[549 chars]ect'] != ['Sony has said that a bug in its PlayStati[190 chars]rt.']"
+                },
+                {
+                    "line": "tests/models/encoder_decoder/test_modeling_encoder_decoder.py::GPT2EncoderDecoderModelTest::test_bert2gpt2_summarization",
+                    "trace": "(line 1033)  AssertionError: Lists differ: [\"SAS[78 chars]anent .\\nThe fraternity has had to deal with a[171 chars]n .\"] != [\"SAS[78 chars]anent.\\nThe fraternity has had to deal with a [167 chars]on.\"]"
+                },
+                {
+                    "line": "tests/models/encoder_decoder/test_modeling_encoder_decoder.py::BartEncoderDecoderModelTest::test_real_model_save_load_from_pretrained",
+                    "trace": "(line 134)  RuntimeError: mat1 and mat2 must have the same dtype, but got Float and Half"
+                }
+            ],
+            "single": [
+                {
+                    "line": "tests/models/encoder_decoder/test_modeling_encoder_decoder.py::BertEncoderDecoderModelTest::test_bert2bert_summarization",
+                    "trace": "(line 743)  AssertionError: Lists differ: [\"sae[162 chars]rsity ' s affiliation with the fraternity is p[397 chars]up.\"] != [\"sae[162 chars]rsity's affiliation with the fraternity is per[389 chars]up.\"]"
+                },
+                {
+                    "line": "tests/models/encoder_decoder/test_modeling_encoder_decoder.py::BertGenerationEncoderDecoderModelTest::test_roberta2roberta_summarization",
+                    "trace": "(line 883)  AssertionError: Lists differ: ['ilant waged waged waged waged waged waged[549 chars]ect'] != ['Sony has said that a bug in its PlayStati[190 chars]rt.']"
+                },
+                {
+                    "line": "tests/models/encoder_decoder/test_modeling_encoder_decoder.py::GPT2EncoderDecoderModelTest::test_bert2gpt2_summarization",
+                    "trace": "(line 1033)  AssertionError: Lists differ: [\"SAS[78 chars]anent .\\nThe fraternity has had to deal with a[171 chars]n .\"] != [\"SAS[78 chars]anent.\\nThe fraternity has had to deal with a [167 chars]on.\"]"
+                },
+                {
+                    "line": "tests/models/encoder_decoder/test_modeling_encoder_decoder.py::BartEncoderDecoderModelTest::test_real_model_save_load_from_pretrained",
+                    "trace": "(line 134)  RuntimeError: mat1 and mat2 must have the same dtype, but got Float and Half"
+                }
+            ]
+        },
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20141816827/job/57811617739",
+            "single": "https://github.com/huggingface/transformers/actions/runs/20141816827/job/57811617663"
+        },
+        "captured_info": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20141816827/job/57811617739#step:16:1",
+            "single": "https://github.com/huggingface/transformers/actions/runs/20141816827/job/57811617663#step:16:1"
+        }
+    },
+    "models_grounding_dino": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 4,
+                "multi": 4
+            },
+            "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": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
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