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  1. 2025-11-14/runs/23282-19364467440/ci_results_run_models_gpu/model_results.json +116 -0
2025-11-14/runs/23282-19364467440/ci_results_run_models_gpu/model_results.json ADDED
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+ {
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+ "models_blt": {
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+ "failed": {
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+ "PyTorch": {
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+ "unclassified": 0,
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+ "single": 6,
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+ "multi": 6
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+ },
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+ "Tokenizers": {
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+ "unclassified": 0,
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+ "single": 0,
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+ "multi": 0
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+ },
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+ "Pipelines": {
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+ "unclassified": 0,
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+ "single": 0,
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+ "multi": 0
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+ },
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+ "Trainer": {
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+ "unclassified": 0,
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+ "single": 0,
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+ },
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+ "ONNX": {
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+ "unclassified": 0,
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+ "single": 0,
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+ "multi": 0
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+ },
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+ "Auto": {
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+ "unclassified": 0,
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+ "single": 0,
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+ "multi": 0
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+ },
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+ "Quantization": {
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+ "unclassified": 0,
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+ "Unclassified": {
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+ },
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+ "errors": 0,
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+ "success": 193,
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+ "time_spent": [
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+ 337.61,
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+ 260.5
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+ ],
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+ "error": false,
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+ "failures": {
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+ "single": [
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+ {
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+ "line": "tests/models/blt/test_modeling_blt.py::BltModelTest::test_sdpa_can_dispatch_on_flash",
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+ "trace": "(line 94) RuntimeError: No available kernel. Aborting execution."
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+ },
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+ {
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+ "line": "tests/models/blt/test_modeling_blt.py::BltIntegrationTest::test_model_bf16",
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+ "trace": "(line 362) AssertionError: 'my n[55 chars]higan. i am a senior majoring in computer scie[101 chars]er s' != 'my n[55 chars]higan in the college of arts and sciences. i a[101 chars]an m'"
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+ },
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+ {
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+ "line": "tests/models/blt/test_modeling_blt.py::BltIntegrationTest::test_model_bf16_static_cache",
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+ "trace": "(line 497) AssertionError: 'my name isingatYas is sisa foyn foeuemsar my my my [155 chars] my ' != 'my name is alex and i am a student at the universit[155 chars]an m'"
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+ },
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+ {
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+ "line": "tests/models/blt/test_modeling_blt.py::BltIntegrationTest::test_model_eager",
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+ "trace": "(line 343) torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 11.45 GiB. GPU 0 has a total capacity of 22.30 GiB of which 10.45 GiB is free. Process 241361 has 11.85 GiB memory in use. Of the allocated memory 9.29 GiB is allocated by PyTorch, and 2.18 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)"
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+ },
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+ {
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+ "line": "tests/models/blt/test_modeling_blt.py::BltIntegrationTest::test_model_logits",
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+ "trace": "(line 1357) torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 11.45 GiB. GPU 0 has a total capacity of 22.30 GiB of which 10.45 GiB is free. Process 241361 has 11.85 GiB memory in use. Of the allocated memory 6.50 GiB is allocated by PyTorch, and 4.97 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)"
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+ },
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+ {
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+ "line": "tests/models/blt/test_modeling_blt.py::BltIntegrationTest::test_model_logits_bf16",
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+ "trace": "(line 448) AssertionError: Tensor-likes are not close!"
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+ }
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+ ],
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+ "multi": [
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+ {
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+ "line": "tests/models/blt/test_modeling_blt.py::BltModelTest::test_model_parallelism",
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+ "trace": "(line 954) RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cuda:1!"
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+ },
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+ {
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+ "line": "tests/models/blt/test_modeling_blt.py::BltModelTest::test_sdpa_can_dispatch_on_flash",
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+ "trace": "(line 94) RuntimeError: No available kernel. Aborting execution."
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+ },
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+ {
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+ "line": "tests/models/blt/test_modeling_blt.py::BltIntegrationTest::test_model_bf16",
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+ "trace": "(line 362) AssertionError: 'my n[55 chars]higan. i am a senior majoring in computer scie[101 chars]er s' != 'my n[55 chars]higan in the college of arts and sciences. i a[101 chars]an m'"
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+ },
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+ {
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+ "line": "tests/models/blt/test_modeling_blt.py::BltIntegrationTest::test_model_bf16_static_cache",
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+ "trace": "(line 1357) torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 20.00 MiB. GPU 1 has a total capacity of 22.30 GiB of which 704.00 KiB is free. Process 33188 has 22.29 GiB memory in use. Of the allocated memory 21.89 GiB is allocated by PyTorch, and 190.00 KiB 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)"
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+ },
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+ {
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+ "line": "tests/models/blt/test_modeling_blt.py::BltIntegrationTest::test_model_logits",
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+ "trace": "(line 2542) RuntimeError: Expected all tensors to be on the same device, but got index is on cuda:0, different from other tensors on cuda:1 (when checking argument in method wrapper_CUDA__index_select)"
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+ },
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+ {
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+ "line": "tests/models/blt/test_modeling_blt.py::BltIntegrationTest::test_model_logits_bf16",
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+ "trace": "(line 343) torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 5.72 GiB. GPU 1 has a total capacity of 22.30 GiB of which 1.86 GiB is free. Process 33188 has 20.44 GiB memory in use. Of the allocated memory 20.01 GiB is allocated by PyTorch, and 20.04 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)"
104
+ }
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+ ]
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+ },
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+ "job_link": {
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+ "single": "https://github.com/huggingface/transformers/actions/runs/19364467440/job/55405369170",
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+ "multi": "https://github.com/huggingface/transformers/actions/runs/19364467440/job/55405369117"
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+ },
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+ "captured_info": {
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+ "single": "https://github.com/huggingface/transformers/actions/runs/19364467440/job/55405369170#step:16:1",
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+ "multi": "https://github.com/huggingface/transformers/actions/runs/19364467440/job/55405369117#step:16:1"
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+ }
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+ }
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+ }