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I'm using the celeb_a dataset from Kaggle because I want to test the pi-GAN and try it with a custom dataset should I get it working. After changing the curriculum's dataset_path, I ran this command:
Namespace(curriculum='CelebA', eval_freq=5000, load_dir='', model_save_interval=5000, n_epochs=3000, output_dir='celebAOutputDir', port='12355', sample_interval=200, set_step=None)
Total progress: 0% 0/3000 [00:00<?, ?it/s]
0it [00:00, ?it/s]/usr/local/lib/python3.7/dist-packages/torchvision/transforms/transforms.py:281: UserWarning: Argument interpolation should be of type InterpolationMode instead of int. Please, use InterpolationMode enum.
"Argument interpolation should be of type InterpolationMode instead of int. "
0% 0/200000 [00:00<?, ?it/s]
Total progress: 0% 1/3000 [00:07<5:56:04, 7.12s/it]
Progress to next stage: 0% 0/200000 [00:06<?, ?it/s]
Traceback (most recent call last):
File "pi-GAN/train.py", line 400, in <module>
mp.spawn(train, args=(num_gpus, opt), nprocs=num_gpus, join=True)
File "/usr/local/lib/python3.7/dist-packages/torch/multiprocessing/spawn.py", line 230, in spawn
return start_processes(fn, args, nprocs, join, daemon, start_method='spawn')
File "/usr/local/lib/python3.7/dist-packages/torch/multiprocessing/spawn.py", line 188, in start_processes
while not context.join():
File "/usr/local/lib/python3.7/dist-packages/torch/multiprocessing/spawn.py", line 150, in join
raise ProcessRaisedException(msg, error_index, failed_process.pid)
torch.multiprocessing.spawn.ProcessRaisedException:
-- Process 0 terminated with the following error:
Traceback (most recent call last):
File "/usr/local/lib/python3.7/dist-packages/torch/multiprocessing/spawn.py", line 59, in _wrap
fn(i, *args)
File "/content/pi-GAN/train.py", line 181, in train
torch.save(ema, os.path.join(opt.output_dir, now + 'ema.pth'))
File "/usr/local/lib/python3.7/dist-packages/torch/serialization.py", line 379, in save
_save(obj, opened_zipfile, pickle_module, pickle_protocol)
File "/usr/local/lib/python3.7/dist-packages/torch/serialization.py", line 484, in _save
pickler.dump(obj)
TypeError: can't pickle weakref objects
The text was updated successfully, but these errors were encountered:
Hi.
I'm using the celeb_a dataset from Kaggle because I want to test the pi-GAN and try it with a custom dataset should I get it working. After changing the curriculum's
dataset_path
, I ran this command:Unfortunately, I got hit with this error:
The text was updated successfully, but these errors were encountered: