| """ | |
| Device utility functions to handle CUDA availability gracefully. | |
| """ | |
| import torch | |
| def get_device(): | |
| """ | |
| Get the appropriate device (CUDA if available, otherwise CPU). | |
| Returns: | |
| str: Device string ('cuda' or 'cpu') | |
| """ | |
| return "cuda" if torch.cuda.is_available() else "cpu" | |
| def get_device_with_index(index=0): | |
| """ | |
| Get the appropriate device with index (CUDA if available, otherwise CPU). | |
| Args: | |
| index (int): CUDA device index (ignored if CUDA not available) | |
| Returns: | |
| str: Device string ('cuda:0' or 'cpu') | |
| """ | |
| if torch.cuda.is_available(): | |
| return f"cuda:{index}" | |
| else: | |
| return "cpu" | |
| def to_device(tensor, device=None): | |
| """ | |
| Move tensor to the specified device, with fallback to CPU if CUDA not available. | |
| Args: | |
| tensor: PyTorch tensor | |
| device: Target device (if None, uses get_device()) | |
| Returns: | |
| torch.Tensor: Tensor on the target device | |
| """ | |
| if device is None: | |
| device = get_device() | |
| # If requesting CUDA but it's not available, fallback to CPU | |
| if device.startswith('cuda') and not torch.cuda.is_available(): | |
| device = 'cpu' | |
| return tensor.to(device) | |