xpu-smi and PyTorch on GPUs
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Description
On NVIDIA GPUs, there is a relation between `nvidia-smi` and PyTorch, `nvidia-smi`, which is similar to `xpu-smi` is used to detect and monitor GPU telemetry. However, absence of `nvidia-smi` on the host, makes `torch.cuda.is_available` as `False`. However, for Intel GPUs, there seems to be no relation between PyTorch GPU support and `xpu-smi`. PyTorch detects `xpu` (via ipex.xpu.is_available()) as `True` even when `xpu-smi` is not installed.
Is this integrated or am I missing something?
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