The code below just freezes, and I don’t really know why. However, one of these small edits makes the code run just fine.
- remove “weights=torchvision.models.DenseNet121_Weights.DEFAULT”
- reduce the size of the returned tensor (i.e. 3, 224, 50 is a maximum)
from tqdm import tqdm
import torch
import torchvision
from torch.multiprocessing import Pool
def load_item(idx):
print(idx)
return torch.ones(3, 224, 224, dtype=torch.float32)
if __name__ == "__main__":
model = torchvision.models.densenet121(weights=torchvision.models.DenseNet121_Weights.DEFAULT)
with Pool(8) as p:
dataset = p.map(load_item, tqdm(range(1000)))
The system I use
- Ubuntu 20.04.4 LTS with 252 GB of RAM
- python 3.8.18
- torch 2.2.1+cu118
- torchvision 0.17.1+cu118
I cannot replicate the bug on Windows.
Is there any particular reason why this code froze?