Upload 2025-11-17/runs/23401-19431310141/ci_results_run_models_gpu/model_results.json with huggingface_hub
Browse files
2025-11-17/runs/23401-19431310141/ci_results_run_models_gpu/model_results.json
ADDED
|
@@ -0,0 +1,97 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"models_dinov3_vit": {
|
| 3 |
+
"failed": {
|
| 4 |
+
"PyTorch": {
|
| 5 |
+
"unclassified": 0,
|
| 6 |
+
"single": 4,
|
| 7 |
+
"multi": 4
|
| 8 |
+
},
|
| 9 |
+
"Tokenizers": {
|
| 10 |
+
"unclassified": 0,
|
| 11 |
+
"single": 0,
|
| 12 |
+
"multi": 0
|
| 13 |
+
},
|
| 14 |
+
"Pipelines": {
|
| 15 |
+
"unclassified": 0,
|
| 16 |
+
"single": 0,
|
| 17 |
+
"multi": 0
|
| 18 |
+
},
|
| 19 |
+
"Trainer": {
|
| 20 |
+
"unclassified": 0,
|
| 21 |
+
"single": 0,
|
| 22 |
+
"multi": 0
|
| 23 |
+
},
|
| 24 |
+
"ONNX": {
|
| 25 |
+
"unclassified": 0,
|
| 26 |
+
"single": 0,
|
| 27 |
+
"multi": 0
|
| 28 |
+
},
|
| 29 |
+
"Auto": {
|
| 30 |
+
"unclassified": 0,
|
| 31 |
+
"single": 0,
|
| 32 |
+
"multi": 0
|
| 33 |
+
},
|
| 34 |
+
"Quantization": {
|
| 35 |
+
"unclassified": 0,
|
| 36 |
+
"single": 0,
|
| 37 |
+
"multi": 0
|
| 38 |
+
},
|
| 39 |
+
"Unclassified": {
|
| 40 |
+
"unclassified": 0,
|
| 41 |
+
"single": 0,
|
| 42 |
+
"multi": 0
|
| 43 |
+
}
|
| 44 |
+
},
|
| 45 |
+
"errors": 0,
|
| 46 |
+
"success": 168,
|
| 47 |
+
"skipped": 200,
|
| 48 |
+
"time_spent": [
|
| 49 |
+
190.36,
|
| 50 |
+
196.36
|
| 51 |
+
],
|
| 52 |
+
"error": false,
|
| 53 |
+
"failures": {
|
| 54 |
+
"single": [
|
| 55 |
+
{
|
| 56 |
+
"line": "tests/models/dinov3_vit/test_modeling_dinov3_vit.py::Dinov3ModelTest::test_model_from_pretrained",
|
| 57 |
+
"trace": "(line 533) OSError: You are trying to access a gated repo."
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"line": "tests/models/dinov3_vit/test_modeling_dinov3_vit.py::Dinov3ModelTest::test_torch_export",
|
| 61 |
+
"trace": "(line 841) torch._dynamo.exc.Unsupported: Attempted to call function marked as skipped"
|
| 62 |
+
},
|
| 63 |
+
{
|
| 64 |
+
"line": "tests/models/dinov3_vit/test_modeling_dinov3_vit.py::DINOv3ViTModelIntegrationTest::test_inference_lc_head_imagenet",
|
| 65 |
+
"trace": "(line 1357) torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 64.00 MiB. GPU 0 has a total capacity of 22.30 GiB of which 36.69 MiB is free. Process 17258 has 22.26 GiB memory in use. Of the allocated memory 21.91 GiB is allocated by PyTorch, and 5.05 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)"
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"line": "tests/models/dinov3_vit/test_modeling_dinov3_vit.py::DINOv3ViTModelIntegrationTest::test_inference_no_head",
|
| 69 |
+
"trace": "(line 533) OSError: You are trying to access a gated repo."
|
| 70 |
+
}
|
| 71 |
+
],
|
| 72 |
+
"multi": [
|
| 73 |
+
{
|
| 74 |
+
"line": "tests/models/dinov3_vit/test_modeling_dinov3_vit.py::Dinov3ModelTest::test_model_from_pretrained",
|
| 75 |
+
"trace": "(line 533) OSError: You are trying to access a gated repo."
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"line": "tests/models/dinov3_vit/test_modeling_dinov3_vit.py::Dinov3ModelTest::test_torch_export",
|
| 79 |
+
"trace": "(line 841) torch._dynamo.exc.Unsupported: Attempted to call function marked as skipped"
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"line": "tests/models/dinov3_vit/test_modeling_dinov3_vit.py::DINOv3ViTModelIntegrationTest::test_inference_lc_head_imagenet",
|
| 83 |
+
"trace": "(line 1357) torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 128.00 MiB. GPU 0 has a total capacity of 22.30 GiB of which 56.69 MiB is free. Process 22071 has 22.24 GiB memory in use. Of the allocated memory 21.79 GiB is allocated by PyTorch, and 4.12 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)"
|
| 84 |
+
},
|
| 85 |
+
{
|
| 86 |
+
"line": "tests/models/dinov3_vit/test_modeling_dinov3_vit.py::DINOv3ViTModelIntegrationTest::test_inference_no_head",
|
| 87 |
+
"trace": "(line 533) OSError: You are trying to access a gated repo."
|
| 88 |
+
}
|
| 89 |
+
]
|
| 90 |
+
},
|
| 91 |
+
"job_link": {
|
| 92 |
+
"single": "https://github.com/huggingface/transformers/actions/runs/19431310141/job/55591323128",
|
| 93 |
+
"multi": "https://github.com/huggingface/transformers/actions/runs/19431310141/job/55591323138"
|
| 94 |
+
},
|
| 95 |
+
"captured_info": {}
|
| 96 |
+
}
|
| 97 |
+
}
|