Upload 2024-06-18/ci_results_run_pipelines_torch_gpu/torch_pipeline_results.json with huggingface_hub

2024-06-18/ci_results_run_pipelines_torch_gpu/torch_pipeline_results.json

@@ -0,0 +1,60 @@
+{
+    "failed": {
+        "unclassified": 0,
+        "single": 5,
+        "multi": 5
+    },
+    "success": 431,
+    "time_spent": "5:49:46, 5:56:49, ",
+    "error": false,
+    "failures": {
+        "multi": [
+            {
+                "line": "tests/pipelines/test_pipelines_automatic_speech_recognition.py::AutomaticSpeechRecognitionPipelineTests::test_seamless_v2",
+                "trace": "(line 3430)  TypeError: object of type 'NoneType' has no len()"
+            },
+            {
+                "line": "tests/pipelines/test_pipelines_automatic_speech_recognition.py::AutomaticSpeechRecognitionPipelineTests::test_simple_whisper_asr",
+                "trace": "(line 753)  AssertionError: {'tex[827 chars]4.56, 4.92)}, {'text': ' gospel.', 'timestamp': (4.92, 5.82)}]} != {'tex[827 chars]4.56, 4.92)}, {'text': ' gospel.', 'timestamp': (4.92, 5.84)}]}"
+            },
+            {
+                "line": "tests/pipelines/test_pipelines_automatic_speech_recognition.py::AutomaticSpeechRecognitionPipelineTests::test_speculative_decoding_whisper_distil",
+                "trace": "(line 905)  AssertionError: True != 'Make sure that assistant decoding is faster'"
+            },
+            {
+                "line": "tests/pipelines/test_pipelines_automatic_speech_recognition.py::AutomaticSpeechRecognitionPipelineTests::test_whisper_large_word_timestamps_batched",
+                "trace": "(line 100)  IndexError: tuple index out of range"
+            },
+            {
+                "line": "tests/pipelines/test_pipelines_automatic_speech_recognition.py::AutomaticSpeechRecognitionPipelineTests::test_whisper_prompted",
+                "trace": "(line 572)  RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0! (when checking argument for argument tensors in method wrapper_CUDA_cat)"
+            }
+        ],
+        "single": [
+            {
+                "line": "tests/pipelines/test_pipelines_automatic_speech_recognition.py::AutomaticSpeechRecognitionPipelineTests::test_seamless_v2",
+                "trace": "(line 3430)  TypeError: object of type 'NoneType' has no len()"
+            },
+            {
+                "line": "tests/pipelines/test_pipelines_automatic_speech_recognition.py::AutomaticSpeechRecognitionPipelineTests::test_simple_whisper_asr",
+                "trace": "(line 753)  AssertionError: {'tex[827 chars]4.56, 4.92)}, {'text': ' gospel.', 'timestamp': (4.92, 5.82)}]} != {'tex[827 chars]4.56, 4.92)}, {'text': ' gospel.', 'timestamp': (4.92, 5.84)}]}"
+            },
+            {
+                "line": "tests/pipelines/test_pipelines_automatic_speech_recognition.py::AutomaticSpeechRecognitionPipelineTests::test_speculative_decoding_whisper_distil",
+                "trace": "(line 905)  AssertionError: True != 'Make sure that assistant decoding is faster'"
+            },
+            {
+                "line": "tests/pipelines/test_pipelines_automatic_speech_recognition.py::AutomaticSpeechRecognitionPipelineTests::test_whisper_large_word_timestamps_batched",
+                "trace": "(line 100)  IndexError: tuple index out of range"
+            },
+            {
+                "line": "tests/pipelines/test_pipelines_automatic_speech_recognition.py::AutomaticSpeechRecognitionPipelineTests::test_whisper_prompted",
+                "trace": "(line 572)  RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0! (when checking argument for argument tensors in method wrapper_CUDA_cat)"
+            }
+        ]
+    },
+    "job_link": {
+        "multi": "https://github.com/huggingface/transformers/actions/runs/9557974404/job/26345926364",
+        "single": "https://github.com/huggingface/transformers/actions/runs/9557974404/job/26345925821"
+    }
+}