Hello. Thank you so much for this work. I am facing an error when I run unet.py and fully_convolutional.py. It is shown below for unet.py:
Traceback (most recent call last):
File "examples/3d_segmentation/unet.py", line 40, in
trainIterator=data.train()
File "/home/dsaha/SparseConvNet/examples/3d_segmentation/data.py", line 100, in train
return torch.utils.data.DataLoader(d,batch_size=batchSize, collate_fn=merge, num_workers=10, shuffle=True)
File "/home/dsaha/.local/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 266, in init
sampler = RandomSampler(dataset, generator=generator) # type: ignore
File "/home/dsaha/.local/lib/python3.8/site-packages/torch/utils/data/sampler.py", line 103, in init
raise ValueError("num_samples should be a positive integer "
ValueError: num_samples should be a positive integer value, but got num_samples=0
Dibbya40
commented
3 years ago
Hello. Thank you so much for this work. I am facing an error when I run unet.py and fully_convolutional.py. It is shown below for unet.py:
Traceback (most recent call last): File "examples/3d_segmentation/unet.py", line 40, in
trainIterator=data.train()
File "/home/dsaha/SparseConvNet/examples/3d_segmentation/data.py", line 100, in train
return torch.utils.data.DataLoader(d,batch_size=batchSize, collate_fn=merge, num_workers=10, shuffle=True)
File "/home/dsaha/.local/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 266, in init
sampler = RandomSampler(dataset, generator=generator) # type: ignore
File "/home/dsaha/.local/lib/python3.8/site-packages/torch/utils/data/sampler.py", line 103, in init
raise ValueError("num_samples should be a positive integer "
ValueError: num_samples should be a positive integer value, but got num_samples=0
Could you please help me?