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Running
on
Zero
Running
on
Zero
import torch | |
def isinstance_str(x: object, cls_name: str): | |
""" | |
Checks whether x has any class *named* cls_name in its ancestry. | |
Doesn't require access to the class's implementation. | |
Useful for patching! | |
""" | |
for _cls in x.__class__.__mro__: | |
if _cls.__name__ == cls_name: | |
return True | |
return False | |
def init_generator(device: torch.device, fallback: torch.Generator=None): | |
""" | |
Forks the current default random generator given device. | |
""" | |
if device.type == "cpu": | |
return torch.Generator(device="cpu").set_state(torch.get_rng_state()) | |
elif device.type == "cuda": | |
return torch.Generator(device=device).set_state(torch.cuda.get_rng_state()) | |
else: | |
if fallback is None: | |
return init_generator(torch.device("cpu")) | |
else: | |
return fallback | |