pip install bitsandbytes

import torch import bitsandbytes as bnb # 检查 IPEX XPU 是否可用 try:     import intel_extension_for_pytorch as ipex     xpu_available = ipex.xpu.is_available()     print(f"IPEX XPU available: {xpu_available}") except ImportError:     print("IPEX not available.")     xpu_available = False # 检查 bitsandbytes 是否加载了 XPU 相关模块或有迹象表明它准备好了 # 我们观察到的导入时的日志 "Register pytorch bitsandbytes kernels for XPU" 是最好的证据 # 也可以尝试检查一些内部状态（虽然不保证稳定） if xpu_available:     print("\nXPU appears to be supported by bitsandbytes via IPEX integration.")     print("The initial warning during import confirms the XPU backend was registered.") else:     print("\nXPU is not available, so bitsandbytes XPU backend won't function.") # 尝试创建一个简单的量化的 Linear4bit 层并移动到 XPU (如果可用) if xpu_available:     try:         linear_4bit = bnb.nn.Linear4bit(100, 100)         linear_4bit = linear_4bit.to('xpu')         print(f"\nLinear4bit layer successfully moved to XPU: {linear_4bit.weight.device}")     except Exception as e:         print(f"\nFailed to move Linear4bit layer to XPU: {e}")

import torch import bitsandbytes as bnb # 使用 PyTorch 的原生方法检查 XPU 设备 xpu_available = torch.xpu.is_available() # 注意是 torch.xpu，不是 ipex.xpu print(f"PyTorch XPU available: {xpu_available}") print(f"Number of XPU devices: {torch.xpu.device_count()}") if xpu_available:     print("\nXPU appears to be supported by bitsandbytes via IPEX integration.")     print("The message 'Register pytorch bitsandbytes kernels for XPU...' during import confirms the XPU backend was registered.")     # 尝试创建一个简单的量化的 Linear4bit 层并移动到 XPU     try:         linear_4bit = bnb.nn.Linear4bit(100, 100)         linear_4bit = linear_4bit.to('xpu')         print(f"\nLinear4bit layer successfully moved to XPU: {linear_4bit.weight.device}")         # 尝试一次前向传播         dummy_input = torch.randn(10, 100, device='xpu')         output = linear_4bit(dummy_input)         print(f"Forward pass successful. Output shape: {output.shape}, device: {output.device}")     except Exception as e:         print(f"\nFailed during Linear4bit creation/move/forward on XPU: {e}") else:     print("\nXPU is not available according to PyTorch, so bitsandbytes XPU backend won't function.")