File size: 1,254 Bytes
9df0059 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 | """
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)
|