Files
Brandon Thomas 5ab5b1c036 add UniAnimate (see notes)
@ d7814fa44a0a1154524b92fce0e3133a2604d333

https://github.com/ali-vilab/UniAnimate
2025-02-03 18:21:13 -05:00

17 lines
542 B
Python

import torch
def to_device(batch, device, non_blocking=False):
if isinstance(batch, (list, tuple)):
return type(batch)([
to_device(u, device, non_blocking)
for u in batch])
elif isinstance(batch, dict):
return type(batch)([
(k, to_device(v, device, non_blocking))
for k, v in batch.items()])
elif isinstance(batch, torch.Tensor) and batch.device != device:
batch = batch.to(device, non_blocking=non_blocking)
else:
return batch
return batch