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Benchmark prints latency of token generation on XPU. It is useful for choosing between backends on XPU.

Current benchmark doesn't work on XPU due to:

python benchmarking/inference_benchmark.py  --device xpu --nf4
Benchmarking batch size: 1
Traceback (most recent call last):
  File "/home/jovyan/triton/bitsandbytes/benchmarking/inference_benchmark.py", line 122, in <module>
    backend_config = PyTorchConfig(
  File "<string>", line 37, in __init__
  File "/home/jovyan/triton/intel-xpu-backend-for-triton/.venv/lib/python3.10/site-packages/optimum_benchmark/backends/pytorch/config.py", line 55, in __post_init__
    super().__post_init__()
  File "/home/jovyan/triton/intel-xpu-backend-for-triton/.venv/lib/python3.10/site-packages/optimum_benchmark/backends/config.py", line 102, in __post_init__
    raise ValueError(f"`device` must be either `cuda`, `cpu`, `mps`, `xla` or `gpu`, but got {self.device}")
ValueError: `device` must be either `cuda`, `cpu`, `mps`, `xla` or `gpu`, but got xpu

@matthewdouglas matthewdouglas merged commit adc7fda into bitsandbytes-foundation:main Jul 8, 2025
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github-actions bot commented Jul 8, 2025

The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

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