File size: 758 Bytes
814c8cf |
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 |
import gc
import torch as t
def freeze_model(model):
model.eval()
for params in model.parameters():
params.requires_grad = False
def unfreeze_model(model):
model.train()
for params in model.parameters():
params.requires_grad = True
def zero_grad(model):
for p in model.parameters():
if p.requires_grad and p.grad is not None:
p.grad = None
def empty_cache():
gc.collect()
t.cuda.empty_cache()
def assert_shape(x, exp_shape):
assert x.shape == exp_shape, f"Expected {exp_shape} got {x.shape}"
def count_parameters(model):
return sum(p.numel() for p in model.parameters() if p.requires_grad)
def count_state(model):
return sum(s.numel() for s in model.state_dict().values())
|