| Error executing job with overrides: ['backend.model=NousResearch/Hermes-3-Llama-3.1-8B', 'backend.processor=NousResearch/Hermes-3-Llama-3.1-8B'] |
| Traceback (most recent call last): |
| File "/optimum-benchmark/optimum_benchmark/cli.py", line 65, in benchmark_cli |
| benchmark_report: BenchmarkReport = launch(experiment_config=experiment_config) |
| File "/optimum-benchmark/optimum_benchmark/experiment.py", line 102, in launch |
| raise error |
| File "/optimum-benchmark/optimum_benchmark/experiment.py", line 90, in launch |
| report = launcher.launch(run, experiment_config.benchmark, experiment_config.backend) |
| File "/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py", line 47, in launch |
| while not process_context.join(): |
| File "/opt/conda/lib/python3.9/site-packages/torch/multiprocessing/spawn.py", line 189, in join |
| raise ProcessRaisedException(msg, error_index, failed_process.pid) |
| torch.multiprocessing.spawn.ProcessRaisedException: |
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| |
| Traceback (most recent call last): |
| File "/opt/conda/lib/python3.9/site-packages/torch/multiprocessing/spawn.py", line 76, in _wrap |
| fn(i, *args) |
| File "/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py", line 63, in entrypoint |
| worker_output = worker(*worker_args) |
| File "/optimum-benchmark/optimum_benchmark/experiment.py", line 55, in run |
| backend: Backend = backend_factory(backend_config) |
| File "/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py", line 81, in __init__ |
| self.load_model_with_no_weights() |
| File "/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py", line 246, in load_model_with_no_weights |
| self.load_model_from_pretrained() |
| File "/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py", line 204, in load_model_from_pretrained |
| self.pretrained_model = self.automodel_class.from_pretrained( |
| File "/opt/conda/lib/python3.9/site-packages/transformers/models/auto/auto_factory.py", line 564, in from_pretrained |
| return model_class.from_pretrained( |
| File "/opt/conda/lib/python3.9/site-packages/transformers/modeling_utils.py", line 3738, in from_pretrained |
| state_dict = load_state_dict(resolved_archive_file) |
| File "/opt/conda/lib/python3.9/site-packages/transformers/modeling_utils.py", line 556, in load_state_dict |
| return safe_load_file(checkpoint_file) |
| File "/opt/conda/lib/python3.9/site-packages/safetensors/torch.py", line 315, in load_file |
| result[k] = f.get_tensor(k) |
| File "/opt/conda/lib/python3.9/site-packages/torch/utils/_device.py", line 79, in __torch_function__ |
| return func(*args, **kwargs) |
| RuntimeError: CUDA error: out of memory |
| CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. |
| For debugging consider passing CUDA_LAUNCH_BLOCKING=1 |
| Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. |
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| Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace. |
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