如何列出当前所有可用的GPU和pytorch？

import torch

if torch.cuda.is_available():
    device = torch.cuda.current_device()
    num_gpu = torch.cuda.device_count()
    gpu_name = torch.cuda.get_device_name(device)
    print(f"当前系统有 {num_gpu} 个可用的GPU设备:")
    print(f"GPU设备名称: {gpu_name}")
else:
    print("当前系统没有可用的GPU设备。")

if torch.cuda.is_available():
    num_gpu = torch.cuda.device_count()
    print(f"当前系统有 {num_gpu} 个可用的GPU设备:")
    for i in range(num_gpu):
        gpu_name = torch.cuda.get_device_name(i)
        gpu_properties = torch.cuda.get_device_properties(i)
        print(f"GPU设备 {i}: {gpu_name}")
        print(f"GPU设备属性：")
        print(f"- CUDA Capability: {gpu_properties.major}.{gpu_properties.minor}")
        print(f"- Total Memory: {gpu_properties.total_memory / 1024**2}MB")
        print(f"- Multiprocessors: {gpu_properties.multi_processor_count}")
        print(f"- Clock Rate: {gpu_properties.clock_rate}kHz")
        print(f"- Compute Mode: {gpu_properties.compute_mode}")
else:
    print("当前系统没有可用的GPU设备。")

print(f"PyTorch版本：{torch.__version__}")
print(f"CUDA可用: {torch.cuda.is_available()}")
print(f"CUDNN可用: {torch.backends.cudnn.enabled}")