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

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

@@ -0,0 +1,68 @@
+{
+    "models_bart": {
+        "captured_info": {}
+    },
+    "models_blip_2": {
+        "captured_info": {
+            "single": {
+                "link": "https://github.com/huggingface/transformers/actions/runs/19740755485/job/56564162279#step:16:1",
+                "captured_info": "test:\n\ntests/models/blip_2/test_modeling_blip_2.py::Blip2ModelIntegrationTest::test_inference_t5\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/blip_2/test_modeling_blip_2.py:1597\n\n        self.assertEqual(predictions[0].tolist(), expected_outputs[0])\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/blip_2/test_modeling_blip_2.py:1597\n\n        self.assertEqual(predictions[0].tolist(), expected_outputs[0])\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertListEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `list1`\nargument expression: `predictions[0].tolist()`\n\nargument value:\n\n[0, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059]\n\n--------------------------------------------------------------------------------\n\nargument name: `list2`\nargument expression: `expected_outputs[0]`\n\nargument value:\n\n[0, 3, 9, 2335, 19, 1556, 28, 160, 1782, 30, 8, 2608, 1]\n\n========================================================================================================================\n\ntest:\n\ntests/models/blip_2/test_modeling_blip_2.py::Blip2ModelIntegrationTest::test_inference_t5\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/blip_2/test_modeling_blip_2.py:1597\n\n        self.assertEqual(predictions[0].tolist(), expected_outputs[0])\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/blip_2/test_modeling_blip_2.py:1597\n\n        self.assertEqual(predictions[0].tolist(), expected_outputs[0])\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `predictions[0].tolist()`\n\nargument value:\n\n[0, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059]\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `expected_outputs[0]`\n\nargument value:\n\n[0, 3, 9, 2335, 19, 1556, 28, 160, 1782, 30, 8, 2608, 1]\n\n========================================================================================================================\n\ntest:\n\ntests/models/blip_2/test_modeling_blip_2.py::Blip2ModelIntegrationTest::test_inference_t5_batched_beam_search\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/blip_2/test_modeling_blip_2.py:1652\n\n        self.assertEqual(predictions[0].tolist(), expected_predictions[0])\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/blip_2/test_modeling_blip_2.py:1652\n\n        self.assertEqual(predictions[0].tolist(), expected_predictions[0])\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertListEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `list1`\nargument expression: `predictions[0].tolist()`\n\nargument value:\n\n[0, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059]\n\n--------------------------------------------------------------------------------\n\nargument name: `list2`\nargument expression: `expected_predictions[0]`\n\nargument value:\n\n[0, 3, 9, 2335, 19, 1556, 28, 160, 1782, 30, 8, 2608, 1]\n\n========================================================================================================================\n\ntest:\n\ntests/models/blip_2/test_modeling_blip_2.py::Blip2ModelIntegrationTest::test_inference_t5_batched_beam_search\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/blip_2/test_modeling_blip_2.py:1652\n\n        self.assertEqual(predictions[0].tolist(), expected_predictions[0])\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/blip_2/test_modeling_blip_2.py:1652\n\n        self.assertEqual(predictions[0].tolist(), expected_predictions[0])\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `predictions[0].tolist()`\n\nargument value:\n\n[0, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059]\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `expected_predictions[0]`\n\nargument value:\n\n[0, 3, 9, 2335, 19, 1556, 28, 160, 1782, 30, 8, 2608, 1]\n\n========================================================================================================================\n\n"
+            },
+            "multi": {
+                "link": "https://github.com/huggingface/transformers/actions/runs/19740755485/job/56564162347#step:16:1",
+                "captured_info": "test:\n\ntests/models/blip_2/test_modeling_blip_2.py::Blip2ModelIntegrationTest::test_inference_t5\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/blip_2/test_modeling_blip_2.py:1597\n\n        self.assertEqual(predictions[0].tolist(), expected_outputs[0])\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/blip_2/test_modeling_blip_2.py:1597\n\n        self.assertEqual(predictions[0].tolist(), expected_outputs[0])\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertListEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `list1`\nargument expression: `predictions[0].tolist()`\n\nargument value:\n\n[0, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059]\n\n--------------------------------------------------------------------------------\n\nargument name: `list2`\nargument expression: `expected_outputs[0]`\n\nargument value:\n\n[0, 3, 9, 2335, 19, 1556, 28, 160, 1782, 30, 8, 2608, 1]\n\n========================================================================================================================\n\ntest:\n\ntests/models/blip_2/test_modeling_blip_2.py::Blip2ModelIntegrationTest::test_inference_t5\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/blip_2/test_modeling_blip_2.py:1597\n\n        self.assertEqual(predictions[0].tolist(), expected_outputs[0])\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/blip_2/test_modeling_blip_2.py:1597\n\n        self.assertEqual(predictions[0].tolist(), expected_outputs[0])\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `predictions[0].tolist()`\n\nargument value:\n\n[0, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059]\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `expected_outputs[0]`\n\nargument value:\n\n[0, 3, 9, 2335, 19, 1556, 28, 160, 1782, 30, 8, 2608, 1]\n\n========================================================================================================================\n\ntest:\n\ntests/models/blip_2/test_modeling_blip_2.py::Blip2ModelIntegrationTest::test_inference_t5_batched_beam_search\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/blip_2/test_modeling_blip_2.py:1652\n\n        self.assertEqual(predictions[0].tolist(), expected_predictions[0])\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/blip_2/test_modeling_blip_2.py:1652\n\n        self.assertEqual(predictions[0].tolist(), expected_predictions[0])\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertListEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `list1`\nargument expression: `predictions[0].tolist()`\n\nargument value:\n\n[0, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059]\n\n--------------------------------------------------------------------------------\n\nargument name: `list2`\nargument expression: `expected_predictions[0]`\n\nargument value:\n\n[0, 3, 9, 2335, 19, 1556, 28, 160, 1782, 30, 8, 2608, 1]\n\n========================================================================================================================\n\ntest:\n\ntests/models/blip_2/test_modeling_blip_2.py::Blip2ModelIntegrationTest::test_inference_t5_batched_beam_search\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/blip_2/test_modeling_blip_2.py:1652\n\n        self.assertEqual(predictions[0].tolist(), expected_predictions[0])\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/blip_2/test_modeling_blip_2.py:1652\n\n        self.assertEqual(predictions[0].tolist(), expected_predictions[0])\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `predictions[0].tolist()`\n\nargument value:\n\n[0, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059]\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `expected_predictions[0]`\n\nargument value:\n\n[0, 3, 9, 2335, 19, 1556, 28, 160, 1782, 30, 8, 2608, 1]\n\n========================================================================================================================\n\ntest:\n\ntests/models/blip_2/test_modeling_blip_2.py::Blip2ModelIntegrationTest::test_inference_t5_multi_accelerator\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/blip_2/test_modeling_blip_2.py:1721\n\n        self.assertEqual(predictions[0].tolist(), expected_ids_and_text[0])\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/blip_2/test_modeling_blip_2.py:1721\n\n        self.assertEqual(predictions[0].tolist(), expected_ids_and_text[0])\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertListEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `list1`\nargument expression: `predictions[0].tolist()`\n\nargument value:\n\n[0, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059]\n\n--------------------------------------------------------------------------------\n\nargument name: `list2`\nargument expression: `expected_ids_and_text[0]`\n\nargument value:\n\n[0, 3, 9, 2335, 19, 1556, 28, 160, 1782, 30, 8, 2608, 1]\n\n========================================================================================================================\n\ntest:\n\ntests/models/blip_2/test_modeling_blip_2.py::Blip2ModelIntegrationTest::test_inference_t5_multi_accelerator\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/blip_2/test_modeling_blip_2.py:1721\n\n        self.assertEqual(predictions[0].tolist(), expected_ids_and_text[0])\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/blip_2/test_modeling_blip_2.py:1721\n\n        self.assertEqual(predictions[0].tolist(), expected_ids_and_text[0])\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `predictions[0].tolist()`\n\nargument value:\n\n[0, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059, 30059]\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `expected_ids_and_text[0]`\n\nargument value:\n\n[0, 3, 9, 2335, 19, 1556, 28, 160, 1782, 30, 8, 2608, 1]\n\n========================================================================================================================\n\n"
+            }
+        }
+    },
+    "models_idefics2": {
+        "captured_info": {}
+    },
+    "models_idefics3": {
+        "captured_info": {}
+    },
+    "models_qwen2_5_omni": {
+        "captured_info": {
+            "multi": {
+                "link": "https://github.com/huggingface/transformers/actions/runs/19740755485/job/56564162392#step:16:1",
+                "captured_info": "test:\n\ntests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py:692\n\n        self.assertEqual(decoded_text, EXPECTED_DECODED_TEXT)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py:692\n\n        self.assertEqual(decoded_text, EXPECTED_DECODED_TEXT)\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `decoded_text`\n\nargument value:\n\n\"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\n\"\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `EXPECTED_DECODED_TEXT`\n\nargument value:\n\n\"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\nThe sound is glass shattering, and the dog is a Labrador Retriever.\"\n\n========================================================================================================================\n\ntest:\n\ntests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test_batch\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py:734\n\n        self.assertEqual(decoded_texts, EXPECTED_DECODED_TEXTS)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py:734\n\n        self.assertEqual(decoded_texts, EXPECTED_DECODED_TEXTS)\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertListEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `list1`\nargument expression: `decoded_texts`\n\nargument value:\n\n[\n    \"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\n\",\n    \"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\n\"\n]\n\n--------------------------------------------------------------------------------\n\nargument name: `list2`\nargument expression: `EXPECTED_DECODED_TEXTS`\n\nargument value:\n\n[\n    \"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\nThe sound is glass shattering, and the dog is a Labrador Retriever.\",\n    \"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\nThe sound is glass shattering, and the dog is a Labrador Retriever.\"\n]\n\n========================================================================================================================\n\ntest:\n\ntests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test_batch\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py:734\n\n        self.assertEqual(decoded_texts, EXPECTED_DECODED_TEXTS)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py:734\n\n        self.assertEqual(decoded_texts, EXPECTED_DECODED_TEXTS)\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `decoded_texts`\n\nargument value:\n\n[\n    \"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\n\",\n    \"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\n\"\n]\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `EXPECTED_DECODED_TEXTS`\n\nargument value:\n\n[\n    \"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\nThe sound is glass shattering, and the dog is a Labrador Retriever.\",\n    \"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\nThe sound is glass shattering, and the dog is a Labrador Retriever.\"\n]\n\n========================================================================================================================\n\ntest:\n\ntests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test_multiturn\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py:777\n\n        self.assertEqual(\n            self.processor.decode(output[0], skip_special_tokens=True),\n            EXPECTED_DECODED_TEXT,\n        )\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py:777\n\n        self.assertEqual(\n            self.processor.decode(output[0], skip_special_tokens=True),\n            EXPECTED_DECODED_TEXT,\n        )\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `self.processor.decode(output[0], skip_special_tokens=True)`\n\nargument value:\n\n\"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\nThe sound is glass shattering, and the dog appears to be a Labrador Retriever.\\nuser\\nHow about this one?\\nassistant\\n\"\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `EXPECTED_DECODED_TEXT`\n\nargument value:\n\n\"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\nThe sound is glass shattering, and the dog appears to be a Labrador Retriever.\\nuser\\nHow about this one?\\nassistant\\nThe sound is a cough.\"\n\n========================================================================================================================\n\ntest:\n\ntests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test_w_audio\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py:829\n\n        self.assertEqual(decoded_text, EXPECTED_DECODED_TEXT)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py:829\n\n        self.assertEqual(decoded_text, EXPECTED_DECODED_TEXT)\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `decoded_text`\n\nargument value:\n\n\"system\\nYou are Qwen, a virtual human developed by the Qwen Team, Alibaba Group, capable of perceiving auditory and visual inputs, as well as generating text and speech.\\nuser\\n\\nassistant\\n\"\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `EXPECTED_DECODED_TEXT`\n\nargument value:\n\n\"system\\nYou are Qwen, a virtual human developed by the Qwen Team, Alibaba Group, capable of perceiving auditory and visual inputs, as well as generating text and speech.\\nuser\\n\\nassistant\\nWell, I can't really guess your age and gender just from your voice. There are so many\"\n\n========================================================================================================================\n\n"
+            },
+            "single": {
+                "link": "https://github.com/huggingface/transformers/actions/runs/19740755485/job/56564162293#step:16:1",
+                "captured_info": "test:\n\ntests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py:692\n\n        self.assertEqual(decoded_text, EXPECTED_DECODED_TEXT)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py:692\n\n        self.assertEqual(decoded_text, EXPECTED_DECODED_TEXT)\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `decoded_text`\n\nargument value:\n\n\"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\n\"\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `EXPECTED_DECODED_TEXT`\n\nargument value:\n\n\"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\nThe sound is glass shattering, and the dog is a Labrador Retriever.\"\n\n========================================================================================================================\n\ntest:\n\ntests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test_batch\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py:734\n\n        self.assertEqual(decoded_texts, EXPECTED_DECODED_TEXTS)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py:734\n\n        self.assertEqual(decoded_texts, EXPECTED_DECODED_TEXTS)\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertListEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `list1`\nargument expression: `decoded_texts`\n\nargument value:\n\n[\n    \"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\n\",\n    \"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\n\"\n]\n\n--------------------------------------------------------------------------------\n\nargument name: `list2`\nargument expression: `EXPECTED_DECODED_TEXTS`\n\nargument value:\n\n[\n    \"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\nThe sound is glass shattering, and the dog is a Labrador Retriever.\",\n    \"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\nThe sound is glass shattering, and the dog is a Labrador Retriever.\"\n]\n\n========================================================================================================================\n\ntest:\n\ntests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test_batch\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py:734\n\n        self.assertEqual(decoded_texts, EXPECTED_DECODED_TEXTS)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py:734\n\n        self.assertEqual(decoded_texts, EXPECTED_DECODED_TEXTS)\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `decoded_texts`\n\nargument value:\n\n[\n    \"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\n\",\n    \"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\n\"\n]\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `EXPECTED_DECODED_TEXTS`\n\nargument value:\n\n[\n    \"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\nThe sound is glass shattering, and the dog is a Labrador Retriever.\",\n    \"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\nThe sound is glass shattering, and the dog is a Labrador Retriever.\"\n]\n\n========================================================================================================================\n\ntest:\n\ntests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test_multiturn\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py:777\n\n        self.assertEqual(\n            self.processor.decode(output[0], skip_special_tokens=True),\n            EXPECTED_DECODED_TEXT,\n        )\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py:777\n\n        self.assertEqual(\n            self.processor.decode(output[0], skip_special_tokens=True),\n            EXPECTED_DECODED_TEXT,\n        )\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `self.processor.decode(output[0], skip_special_tokens=True)`\n\nargument value:\n\n\"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\nThe sound is glass shattering, and the dog appears to be a Labrador Retriever.\\nuser\\nHow about this one?\\nassistant\\n\"\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `EXPECTED_DECODED_TEXT`\n\nargument value:\n\n\"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\nThe sound is glass shattering, and the dog appears to be a Labrador Retriever.\\nuser\\nHow about this one?\\nassistant\\nThe sound is a cough.\"\n\n========================================================================================================================\n\ntest:\n\ntests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test_w_audio\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py:829\n\n        self.assertEqual(decoded_text, EXPECTED_DECODED_TEXT)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py:829\n\n        self.assertEqual(decoded_text, EXPECTED_DECODED_TEXT)\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `decoded_text`\n\nargument value:\n\n\"system\\nYou are Qwen, a virtual human developed by the Qwen Team, Alibaba Group, capable of perceiving auditory and visual inputs, as well as generating text and speech.\\nuser\\n\\nassistant\\n\"\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `EXPECTED_DECODED_TEXT`\n\nargument value:\n\n\"system\\nYou are Qwen, a virtual human developed by the Qwen Team, Alibaba Group, capable of perceiving auditory and visual inputs, as well as generating text and speech.\\nuser\\n\\nassistant\\nWell, I can't really guess your age and gender just from your voice. There are so many\"\n\n========================================================================================================================\n\n"
+            }
+        }
+    },
+    "models_qwen2_5_vl": {
+        "captured_info": {
+            "single": {
+                "link": "https://github.com/huggingface/transformers/actions/runs/19740755485/job/56564162237#step:16:1",
+                "captured_info": "test:\n\ntests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py::Qwen2_5_VLIntegrationTest::test_small_model_integration_test_batch_different_resolutions\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py:625\n\n            self.assertEqual(\n                decoded,\n                expected,\n                f\"Decoded text {i}:\\n{repr(decoded)}\\ndoes not match expected decoded text:\\n{repr(expected)}\",\n            )\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py:625\n\n            self.assertEqual(\n                decoded,\n                expected,\n                f\"Decoded text {i}:\\n{repr(decoded)}\\ndoes not match expected decoded text:\\n{repr(expected)}\",\n            )\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `decoded`\n\nargument value:\n\n\"system\\nYou are a helpful assistant.\\nuser\\nWhat kind of dog is this?\\nassistant\\n addCriterion\\nThe dog in the picture appears to be a Labrador Retriever. Labradors are known for their friendly and gentle nature, which is\"\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `expected`\n\nargument value:\n\n\"system\\nYou are a helpful assistant.\\nuser\\nWhat kind of dog is this?\\nassistant\\nThe dog in the picture appears to be a Labrador Retriever. Labradors are known for their friendly and energetic nature, which is evident in\"\n\n========================================================================================================================\n\ntest:\n\ntests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py::Qwen2_5_VLIntegrationTest::test_small_model_integration_test_with_video\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py:744\n\n        self.assertEqual(\n            self.processor.batch_decode(output, skip_special_tokens=True),\n            EXPECTED_DECODED_TEXT,\n        )\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py:744\n\n        self.assertEqual(\n            self.processor.batch_decode(output, skip_special_tokens=True),\n            EXPECTED_DECODED_TEXT,\n        )\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertListEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `list1`\nargument expression: `self.processor.batch_decode(output, skip_special_tokens=True)`\n\nargument value:\n\n[\"system\\nYou are a helpful assistant.\\nuser\\nWhat is shown in this video?\\nassistant\\nThe video shows an indoor tennis court with a player standing on the baseline, preparing to serve. The player is wearing a white shirt and black shorts,\"]\n\n--------------------------------------------------------------------------------\n\nargument name: `list2`\nargument expression: `EXPECTED_DECODED_TEXT`\n\nargument value:\n\n[\"system\\nYou are a helpful assistant.\\nuser\\nWhat is shown in this video?\\nassistant\\nThe video shows an indoor tennis court with a person standing on one side, preparing to serve the ball. The individual is dressed in athletic attire, including\"]\n\n========================================================================================================================\n\ntest:\n\ntests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py::Qwen2_5_VLIntegrationTest::test_small_model_integration_test_with_video\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py:744\n\n        self.assertEqual(\n            self.processor.batch_decode(output, skip_special_tokens=True),\n            EXPECTED_DECODED_TEXT,\n        )\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py:744\n\n        self.assertEqual(\n            self.processor.batch_decode(output, skip_special_tokens=True),\n            EXPECTED_DECODED_TEXT,\n        )\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `self.processor.batch_decode(output, skip_special_tokens=True)`\n\nargument value:\n\n[\"system\\nYou are a helpful assistant.\\nuser\\nWhat is shown in this video?\\nassistant\\nThe video shows an indoor tennis court with a player standing on the baseline, preparing to serve. The player is wearing a white shirt and black shorts,\"]\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `EXPECTED_DECODED_TEXT`\n\nargument value:\n\n[\"system\\nYou are a helpful assistant.\\nuser\\nWhat is shown in this video?\\nassistant\\nThe video shows an indoor tennis court with a person standing on one side, preparing to serve the ball. The individual is dressed in athletic attire, including\"]\n\n========================================================================================================================\n\n"
+            },
+            "multi": {
+                "link": "https://github.com/huggingface/transformers/actions/runs/19740755485/job/56564162444#step:16:1",
+                "captured_info": "test:\n\ntests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py::Qwen2_5_VLIntegrationTest::test_small_model_integration_test_batch_different_resolutions\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py:625\n\n            self.assertEqual(\n                decoded,\n                expected,\n                f\"Decoded text {i}:\\n{repr(decoded)}\\ndoes not match expected decoded text:\\n{repr(expected)}\",\n            )\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py:625\n\n            self.assertEqual(\n                decoded,\n                expected,\n                f\"Decoded text {i}:\\n{repr(decoded)}\\ndoes not match expected decoded text:\\n{repr(expected)}\",\n            )\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `decoded`\n\nargument value:\n\n\"system\\nYou are a helpful assistant.\\nuser\\nWhat kind of dog is this?\\nassistant\\n addCriterion\\nThe dog in the picture appears to be a Labrador Retriever. Labradors are known for their friendly and gentle nature, which is\"\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `expected`\n\nargument value:\n\n\"system\\nYou are a helpful assistant.\\nuser\\nWhat kind of dog is this?\\nassistant\\nThe dog in the picture appears to be a Labrador Retriever. Labradors are known for their friendly and energetic nature, which is evident in\"\n\n========================================================================================================================\n\ntest:\n\ntests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py::Qwen2_5_VLIntegrationTest::test_small_model_integration_test_with_video\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py:744\n\n        self.assertEqual(\n            self.processor.batch_decode(output, skip_special_tokens=True),\n            EXPECTED_DECODED_TEXT,\n        )\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py:744\n\n        self.assertEqual(\n            self.processor.batch_decode(output, skip_special_tokens=True),\n            EXPECTED_DECODED_TEXT,\n        )\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertListEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `list1`\nargument expression: `self.processor.batch_decode(output, skip_special_tokens=True)`\n\nargument value:\n\n[\"system\\nYou are a helpful assistant.\\nuser\\nWhat is shown in this video?\\nassistant\\nThe video shows an indoor tennis court with a player standing on the baseline, preparing to serve. The player is wearing a white shirt and black shorts,\"]\n\n--------------------------------------------------------------------------------\n\nargument name: `list2`\nargument expression: `EXPECTED_DECODED_TEXT`\n\nargument value:\n\n[\"system\\nYou are a helpful assistant.\\nuser\\nWhat is shown in this video?\\nassistant\\nThe video shows an indoor tennis court with a person standing on one side, preparing to serve the ball. The individual is dressed in athletic attire, including\"]\n\n========================================================================================================================\n\ntest:\n\ntests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py::Qwen2_5_VLIntegrationTest::test_small_model_integration_test_with_video\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py:744\n\n        self.assertEqual(\n            self.processor.batch_decode(output, skip_special_tokens=True),\n            EXPECTED_DECODED_TEXT,\n        )\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py:744\n\n        self.assertEqual(\n            self.processor.batch_decode(output, skip_special_tokens=True),\n            EXPECTED_DECODED_TEXT,\n        )\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `self.processor.batch_decode(output, skip_special_tokens=True)`\n\nargument value:\n\n[\"system\\nYou are a helpful assistant.\\nuser\\nWhat is shown in this video?\\nassistant\\nThe video shows an indoor tennis court with a player standing on the baseline, preparing to serve. The player is wearing a white shirt and black shorts,\"]\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `EXPECTED_DECODED_TEXT`\n\nargument value:\n\n[\"system\\nYou are a helpful assistant.\\nuser\\nWhat is shown in this video?\\nassistant\\nThe video shows an indoor tennis court with a person standing on one side, preparing to serve the ball. The individual is dressed in athletic attire, including\"]\n\n========================================================================================================================\n\n"
+            }
+        }
+    },
+    "models_qwen2_vl": {
+        "captured_info": {}
+    },
+    "models_qwen3_omni_moe": {
+        "captured_info": {}
+    },
+    "models_smolvlm": {
+        "captured_info": {
+            "single": {
+                "link": "https://github.com/huggingface/transformers/actions/runs/19740755485/job/56564162260#step:16:1",
+                "captured_info": "test:\n\ntests/models/smolvlm/test_modeling_smolvlm.py::SmolVLMForConditionalGenerationIntegrationTest::test_integration_test_video\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/smolvlm/test_modeling_smolvlm.py:594\n\n        self.assertEqual(generated_texts[0], expected_generated_text)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/smolvlm/test_modeling_smolvlm.py:594\n\n        self.assertEqual(generated_texts[0], expected_generated_text)\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `generated_texts[0]`\n\nargument value:\n\n'User: You are provided the following series of nine frames from a 0:00:09 [H:MM:SS] video.\\n\\nFrame from 00:00:\\nFrame from 00:01:\\nFrame from 00:02:\\nFrame from 00:03:\\nFrame from 00:04:\\nFrame from 00:05:\\nFrame from 00:06:\\nFrame from 00:08:\\nFrame from 00:09:\\n\\nDescribe this video in detail\\nAssistant: The video depicts a large language model architecture, specifically a language model with a \"quick brown\" feature'\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `expected_generated_text`\n\nargument value:\n\n\"User: You are provided the following series of nine frames from a 0:00:09 [H:MM:SS] video.\\n\\nFrame from 00:00:\\nFrame from 00:01:\\nFrame from 00:02:\\nFrame from 00:03:\\nFrame from 00:04:\\nFrame from 00:05:\\nFrame from 00:06:\\nFrame from 00:08:\\nFrame from 00:09:\\n\\nDescribe this video in detail\\nAssistant: The video showcases a large language model, specifically a neural network model, which is designed to learn and\"\n\n========================================================================================================================\n\n"
+            },
+            "multi": {
+                "link": "https://github.com/huggingface/transformers/actions/runs/19740755485/job/56564162297#step:16:1",
+                "captured_info": "test:\n\ntests/models/smolvlm/test_modeling_smolvlm.py::SmolVLMForConditionalGenerationIntegrationTest::test_integration_test_video\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/smolvlm/test_modeling_smolvlm.py:594\n\n        self.assertEqual(generated_texts[0], expected_generated_text)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/smolvlm/test_modeling_smolvlm.py:594\n\n        self.assertEqual(generated_texts[0], expected_generated_text)\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `generated_texts[0]`\n\nargument value:\n\n'User: You are provided the following series of nine frames from a 0:00:09 [H:MM:SS] video.\\n\\nFrame from 00:00:\\nFrame from 00:01:\\nFrame from 00:02:\\nFrame from 00:03:\\nFrame from 00:04:\\nFrame from 00:05:\\nFrame from 00:06:\\nFrame from 00:08:\\nFrame from 00:09:\\n\\nDescribe this video in detail\\nAssistant: The video depicts a large language model architecture, specifically a language model with a \"quick brown\" feature'\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `expected_generated_text`\n\nargument value:\n\n\"User: You are provided the following series of nine frames from a 0:00:09 [H:MM:SS] video.\\n\\nFrame from 00:00:\\nFrame from 00:01:\\nFrame from 00:02:\\nFrame from 00:03:\\nFrame from 00:04:\\nFrame from 00:05:\\nFrame from 00:06:\\nFrame from 00:08:\\nFrame from 00:09:\\n\\nDescribe this video in detail\\nAssistant: The video showcases a large language model, specifically a neural network model, which is designed to learn and\"\n\n========================================================================================================================\n\n"
+            }
+        }
+    },
+    "models_timm_wrapper": {
+        "captured_info": {}
+    }
+}