Upload 2025-08-29/runs/4941-17326804057/ci_results_run_models_gpu/model_results.json with huggingface_hub

2025-08-29/runs/4941-17326804057/ci_results_run_models_gpu/model_results.json

@@ -0,0 +1,681 @@
+{
+    "models_gpt_oss": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 76,
+                "multi": 76
+            },
+            "TensorFlow": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Flax": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "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": 185,
+        "skipped": 323,
+        "time_spent": [
+            2662.42,
+            2042.51
+        ],
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssModelTest::test_flash_attn_2_inference_equivalence",
+                    "trace": "(line 4790)  TypeError: object of type 'NoneType' has no len()"
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssModelTest::test_flash_attn_2_inference_equivalence_right_padding",
+                    "trace": "(line 4790)  TypeError: object of type 'NoneType' has no len()"
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_matches_original_120b",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.79 GiB is free. Process 33276 has 20.39 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_matches_original_20b",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.54 GiB is free. Process 33276 has 20.64 GiB memory in use. Of the allocated memory 18.92 GiB is allocated by PyTorch, and 1.24 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_00",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.54 GiB is free. Process 33276 has 20.64 GiB memory in use. Of the allocated memory 18.92 GiB is allocated by PyTorch, and 1.24 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_01",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.54 GiB is free. Process 33276 has 20.64 GiB memory in use. Of the allocated memory 18.92 GiB is allocated by PyTorch, and 1.24 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_02",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.54 GiB is free. Process 33276 has 20.64 GiB memory in use. Of the allocated memory 18.92 GiB is allocated by PyTorch, and 1.24 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_03",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.54 GiB is free. Process 33276 has 20.64 GiB memory in use. Of the allocated memory 18.92 GiB is allocated by PyTorch, and 1.24 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_04",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.54 GiB is free. Process 33276 has 20.64 GiB memory in use. Of the allocated memory 18.92 GiB is allocated by PyTorch, and 1.24 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_05",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.54 GiB is free. Process 33276 has 20.64 GiB memory in use. Of the allocated memory 18.92 GiB is allocated by PyTorch, and 1.24 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_06",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.54 GiB is free. Process 33276 has 20.64 GiB memory in use. Of the allocated memory 18.92 GiB is allocated by PyTorch, and 1.24 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_07",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.54 GiB is free. Process 33276 has 20.64 GiB memory in use. Of the allocated memory 18.92 GiB is allocated by PyTorch, and 1.24 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_08",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.54 GiB is free. Process 33276 has 20.64 GiB memory in use. Of the allocated memory 18.92 GiB is allocated by PyTorch, and 1.24 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_09",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.54 GiB is free. Process 33276 has 20.64 GiB memory in use. Of the allocated memory 18.92 GiB is allocated by PyTorch, and 1.24 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_10",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.54 GiB is free. Process 33276 has 20.64 GiB memory in use. Of the allocated memory 18.92 GiB is allocated by PyTorch, and 1.24 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_11",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.54 GiB is free. Process 33276 has 20.64 GiB memory in use. Of the allocated memory 18.92 GiB is allocated by PyTorch, and 1.24 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_12",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.54 GiB is free. Process 33276 has 20.64 GiB memory in use. Of the allocated memory 18.92 GiB is allocated by PyTorch, and 1.24 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_13",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.54 GiB is free. Process 33276 has 20.64 GiB memory in use. Of the allocated memory 18.92 GiB is allocated by PyTorch, and 1.24 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_14",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.54 GiB is free. Process 33276 has 20.64 GiB memory in use. Of the allocated memory 18.92 GiB is allocated by PyTorch, and 1.24 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_15",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.54 GiB is free. Process 33276 has 20.64 GiB memory in use. Of the allocated memory 18.92 GiB is allocated by PyTorch, and 1.24 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_16",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.79 GiB is free. Process 33276 has 20.39 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_17",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.79 GiB is free. Process 33276 has 20.39 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_18",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.79 GiB is free. Process 33276 has 20.39 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_19",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.79 GiB is free. Process 33276 has 20.39 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_20",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.79 GiB is free. Process 33276 has 20.39 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_21",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.79 GiB is free. Process 33276 has 20.39 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_22",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.79 GiB is free. Process 33276 has 20.39 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_23",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.79 GiB is free. Process 33276 has 20.39 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_24",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.79 GiB is free. Process 33276 has 20.39 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_25",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.79 GiB is free. Process 33276 has 20.39 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_26",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.79 GiB is free. Process 33276 has 20.39 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_27",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.79 GiB is free. Process 33276 has 20.39 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_28",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.79 GiB is free. Process 33276 has 20.39 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_29",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.79 GiB is free. Process 33276 has 20.39 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_30",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.79 GiB is free. Process 33276 has 20.39 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_31",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.79 GiB is free. Process 33276 has 20.39 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_00",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=2', '/tmp/tmp95gdlj5p_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_01",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=2', '/tmp/tmpg8waiegf_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_02",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=2', '/tmp/tmpq84dk4_w_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_03",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=2', '/tmp/tmpmey73olm_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_04",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=2', '/tmp/tmp9beg3d00_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_05",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=2', '/tmp/tmpru30k2qs_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_06",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=2', '/tmp/tmpvak7itux_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_07",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=2', '/tmp/tmp44g2ho3k_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_08",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=2', '/tmp/tmpxi7t1681_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_09",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=2', '/tmp/tmpl12bw5e__worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_10",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=2', '/tmp/tmpt9_oj580_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_11",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=2', '/tmp/tmpgkx9mnt__worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_12",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=2', '/tmp/tmpunghr5_5_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_13",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=2', '/tmp/tmp13n21hmp_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_14",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=2', '/tmp/tmpm4dqoss__worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_15",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=2', '/tmp/tmppi_18dpl_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_16",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=2', '/tmp/tmpr5yy7dnd_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_17",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=2', '/tmp/tmpuwaib9bp_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_18",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=2', '/tmp/tmptbpvpxe1_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_19",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=2', '/tmp/tmpje_3x9il_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_20",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=2', '/tmp/tmpqz2lplfi_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_21",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=2', '/tmp/tmp72cks8uj_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_22",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=2', '/tmp/tmpc0nr7usx_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_23",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=2', '/tmp/tmp3s_5k9z__worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_24",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=2', '/tmp/tmp5irhwo01_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_25",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=2', '/tmp/tmpcntjzttx_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_26",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=2', '/tmp/tmpaqbn6qvb_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_27",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=2', '/tmp/tmp_2zua_f0_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_28",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=2', '/tmp/tmpd2p260ts_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_29",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=2', '/tmp/tmpdgo4hr_p_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_30",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=2', '/tmp/tmpz6chrltq_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_31",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=2', '/tmp/tmp40zb56u8_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_training_step_01",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.54 GiB is free. Process 33276 has 20.64 GiB memory in use. Of the allocated memory 18.92 GiB is allocated by PyTorch, and 1.24 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_training_step_03",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.54 GiB is free. Process 33276 has 20.64 GiB memory in use. Of the allocated memory 18.92 GiB is allocated by PyTorch, and 1.24 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_training_step_05",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.54 GiB is free. Process 33276 has 20.64 GiB memory in use. Of the allocated memory 18.92 GiB is allocated by PyTorch, and 1.24 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_training_step_07",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.54 GiB is free. Process 33276 has 20.64 GiB memory in use. Of the allocated memory 18.92 GiB is allocated by PyTorch, and 1.24 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_training_step_17",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.79 GiB is free. Process 33276 has 20.39 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_training_step_19",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.79 GiB is free. Process 33276 has 20.39 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_training_step_21",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.79 GiB is free. Process 33276 has 20.39 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_training_step_23",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.79 GiB is free. Process 33276 has 20.39 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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)"
+                }
+            ],
+            "single": [
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssModelTest::test_flash_attn_2_inference_equivalence",
+                    "trace": "(line 4790)  TypeError: object of type 'NoneType' has no len()"
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssModelTest::test_flash_attn_2_inference_equivalence_right_padding",
+                    "trace": "(line 4790)  TypeError: object of type 'NoneType' has no len()"
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_matches_original_120b",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.90 GiB is free. Process 29195 has 20.28 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_matches_original_20b",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.59 GiB is free. Process 29195 has 20.58 GiB memory in use. Of the allocated memory 17.38 GiB is allocated by PyTorch, and 2.83 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_00",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.59 GiB is free. Process 29195 has 20.58 GiB memory in use. Of the allocated memory 17.38 GiB is allocated by PyTorch, and 2.83 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_01",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.59 GiB is free. Process 29195 has 20.58 GiB memory in use. Of the allocated memory 17.38 GiB is allocated by PyTorch, and 2.83 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_02",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.59 GiB is free. Process 29195 has 20.58 GiB memory in use. Of the allocated memory 17.38 GiB is allocated by PyTorch, and 2.83 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_03",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.59 GiB is free. Process 29195 has 20.58 GiB memory in use. Of the allocated memory 17.38 GiB is allocated by PyTorch, and 2.83 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_04",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.59 GiB is free. Process 29195 has 20.58 GiB memory in use. Of the allocated memory 17.38 GiB is allocated by PyTorch, and 2.83 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_05",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.59 GiB is free. Process 29195 has 20.58 GiB memory in use. Of the allocated memory 17.38 GiB is allocated by PyTorch, and 2.83 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_06",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.59 GiB is free. Process 29195 has 20.58 GiB memory in use. Of the allocated memory 17.38 GiB is allocated by PyTorch, and 2.83 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_07",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.59 GiB is free. Process 29195 has 20.58 GiB memory in use. Of the allocated memory 17.38 GiB is allocated by PyTorch, and 2.83 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_08",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.59 GiB is free. Process 29195 has 20.58 GiB memory in use. Of the allocated memory 17.38 GiB is allocated by PyTorch, and 2.83 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_09",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.59 GiB is free. Process 29195 has 20.58 GiB memory in use. Of the allocated memory 17.38 GiB is allocated by PyTorch, and 2.83 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_10",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.59 GiB is free. Process 29195 has 20.58 GiB memory in use. Of the allocated memory 17.38 GiB is allocated by PyTorch, and 2.83 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_11",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.59 GiB is free. Process 29195 has 20.58 GiB memory in use. Of the allocated memory 17.38 GiB is allocated by PyTorch, and 2.83 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_12",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.59 GiB is free. Process 29195 has 20.58 GiB memory in use. Of the allocated memory 17.38 GiB is allocated by PyTorch, and 2.83 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_13",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.59 GiB is free. Process 29195 has 20.58 GiB memory in use. Of the allocated memory 17.38 GiB is allocated by PyTorch, and 2.83 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_14",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.59 GiB is free. Process 29195 has 20.58 GiB memory in use. Of the allocated memory 17.38 GiB is allocated by PyTorch, and 2.83 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_15",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.59 GiB is free. Process 29195 has 20.58 GiB memory in use. Of the allocated memory 17.38 GiB is allocated by PyTorch, and 2.83 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_16",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.90 GiB is free. Process 29195 has 20.28 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_17",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.90 GiB is free. Process 29195 has 20.28 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_18",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.90 GiB is free. Process 29195 has 20.28 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_19",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.90 GiB is free. Process 29195 has 20.28 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_20",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.90 GiB is free. Process 29195 has 20.28 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_21",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.90 GiB is free. Process 29195 has 20.28 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_22",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.90 GiB is free. Process 29195 has 20.28 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_23",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.90 GiB is free. Process 29195 has 20.28 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_24",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.90 GiB is free. Process 29195 has 20.28 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_25",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.90 GiB is free. Process 29195 has 20.28 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_26",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.90 GiB is free. Process 29195 has 20.28 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_27",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.90 GiB is free. Process 29195 has 20.28 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_28",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.90 GiB is free. Process 29195 has 20.28 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_29",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.90 GiB is free. Process 29195 has 20.28 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_30",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.90 GiB is free. Process 29195 has 20.28 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_31",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.90 GiB is free. Process 29195 has 20.28 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_00",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpcwmx5q3m_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_01",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmp2fu9kz_f_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_02",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpsr4_zq08_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_03",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpuyne_qip_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_04",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmptnf6le3w_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_05",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpxtkxdfn9_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_06",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpghlat29x_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_07",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmp2yk_vvnf_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_08",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpcooi19pu_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_09",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmp3d_jmtm7_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_10",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmp5f2lv4_l_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_11",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmp9zm8qs0t_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_12",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpo5azp0vh_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_13",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpl0yra76v_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_14",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmp497be455_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_15",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmph3h8m2d7_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_16",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmphi68ggpu_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_17",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpbckiyqbs_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_18",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpgj6xhzvi_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_19",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpfe4ubxy5_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_20",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpgk15cpde_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_21",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmp9816ws8y_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_22",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpbpx7ayjv_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_23",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpi681hir7_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_24",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmp8_7jx8j8_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_25",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpm03qbza7_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_26",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpek0_djv3_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_27",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmppexs3ezw_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_28",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpwcv67u5x_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_29",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpb7doem1j_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_30",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmp4mgjrmv9_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_31",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpd19ldy0m_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_training_step_01",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.59 GiB is free. Process 29195 has 20.58 GiB memory in use. Of the allocated memory 17.38 GiB is allocated by PyTorch, and 2.83 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_training_step_03",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.59 GiB is free. Process 29195 has 20.58 GiB memory in use. Of the allocated memory 17.38 GiB is allocated by PyTorch, and 2.83 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_training_step_05",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.59 GiB is free. Process 29195 has 20.58 GiB memory in use. Of the allocated memory 17.38 GiB is allocated by PyTorch, and 2.83 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_training_step_07",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.59 GiB is free. Process 29195 has 20.58 GiB memory in use. Of the allocated memory 17.38 GiB is allocated by PyTorch, and 2.83 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_training_step_17",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.90 GiB is free. Process 29195 has 20.28 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_training_step_19",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.90 GiB is free. Process 29195 has 20.28 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_training_step_21",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.90 GiB is free. Process 29195 has 20.28 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_training_step_23",
+                    "trace": "(line 117)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.18 GiB of which 1.90 GiB is free. Process 29195 has 20.28 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.19 GiB 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": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/17326804057/job/49193405855",
+            "single": "https://github.com/huggingface/transformers/actions/runs/17326804057/job/49193405861"
+        }
+    }
+}