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修复在Intel GPU上运行会显示未检测到CUDA环境 #7655

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Merged
hiyouga merged 3 commits into from
Apr 9, 2025
Merged

修复在Intel GPU上运行会显示未检测到CUDA环境 #7655

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dbd09b3
fix cuda warn on intel GPU
jilongW Apr 9, 2025
4574090
Merge pull request #4 from hiyouga/main
jilongW Apr 9, 2025
52ced77
Merge branch 'main' of https://github.com/jilongW/LLaMA-Factory
jilongW Apr 9, 2025
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4 changes: 3 additions & 1 deletion src/llamafactory/extras/misc.py
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Original file line number Diff line number Diff line change
Expand Up @@ -179,6 +179,8 @@ def get_peak_memory() -> tuple[int, int]:
return torch.npu.max_memory_allocated(), torch.npu.max_memory_reserved()
elif is_torch_cuda_available():
return torch.cuda.max_memory_allocated(), torch.cuda.max_memory_reserved()
elif is_torch_xpu_available():
return torch.xpu.max_memory_allocated(), torch.xpu.max_memory_reserved()
else:
return 0, 0

Expand All @@ -200,7 +202,7 @@ def infer_optim_dtype(model_dtype: "torch.dtype") -> "torch.dtype":

def is_gpu_or_npu_available() -> bool:
r"""Check if the GPU or NPU is available."""
return is_torch_npu_available() or is_torch_cuda_available()
return is_torch_npu_available() or is_torch_cuda_available() or is_torch_xpu_available()


def is_env_enabled(env_var: str, default: str = "0") -> bool:
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