mirror of https://github.com/hpcaitech/ColossalAI
28 lines
834 B
Python
28 lines
834 B
Python
import torch
|
|
import torch.nn as nn
|
|
|
|
from colossalai.shardformer.shard.utils import set_tensors_to_none
|
|
|
|
|
|
class Net(nn.Module):
|
|
|
|
def __init__(self) -> None:
|
|
super().__init__()
|
|
self.layers = nn.Sequential(nn.Linear(1, 2), nn.Linear(2, 3))
|
|
self.out = nn.Linear(3, 1)
|
|
|
|
|
|
def test_release_layer():
|
|
orig_cuda_allocated = torch.cuda.memory_allocated()
|
|
model = Net().cuda()
|
|
set_tensors_to_none(model, exclude={model.layers[0]})
|
|
assert model.layers[1].weight is None
|
|
assert model.layers[1].bias is None
|
|
assert model.out.weight is None
|
|
assert model.out.bias is None
|
|
set_tensors_to_none(model)
|
|
assert model.layers[0].weight is None
|
|
assert model.layers[0].bias is None
|
|
assert len(list(model.parameters())) == 0
|
|
assert torch.cuda.memory_allocated() == orig_cuda_allocated
|