randrange and Connection refused error

[universewill]

I run command like this:

python3 train.py --dataroot /data/images  --name my_cyclegan  --model cycle_gan --resize_or_crop crop --epoch 700 --niter 700 --display_id 0

And get error below. I dont't know why. The display_id para is set to 0 in my command, so i get it is not caused by visdom?

create web directory ./checkpoints/ketu_300_cyclegan/web...
(epoch: 1, iters: 100, time: 0.264, data: 0.159) D_A: 0.395 G_A: 0.409 cycle_A: 3.936 idt_A: 1.448 D_B: 0.489 G_B: 0.244 cycle_B: 3.068 idt_B: 1.777
Traceback (most recent call last):
  File "train.py", line 24, in <module>
    for i, data in enumerate(dataset):
  File "/home/universe/jupyter/gxl/project/digitalprint/deep/pytorch-CycleGAN-and-pix2pix/data/__init__.py", line 72, in __iter__
    for i, data in enumerate(self.dataloader):
  File "/home/universe/miniconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 336, in __next__
    return self._process_next_batch(batch)
  File "/home/universe/miniconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 357, in _process_next_batch
    raise batch.exc_type(batch.exc_msg)
ValueError: Traceback (most recent call last):
  File "/home/universe/miniconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 106, in _worker_loop
    samples = collate_fn([dataset[i] for i in batch_indices])
  File "/home/universe/miniconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 106, in <listcomp>
    samples = collate_fn([dataset[i] for i in batch_indices])
  File "/home/universe/jupyter/gxl/project/digitalprint/deep/pytorch-CycleGAN-and-pix2pix/data/unaligned_dataset.py", line 39, in __getitem__
    A = self.transform(A_img)
  File "/home/universe/miniconda3/lib/python3.6/site-packages/torchvision/transforms/transforms.py", line 49, in __call__
    img = t(img)
  File "/home/universe/miniconda3/lib/python3.6/site-packages/torchvision/transforms/transforms.py", line 421, in __call__
    i, j, h, w = self.get_params(img, self.size)
  File "/home/universe/miniconda3/lib/python3.6/site-packages/torchvision/transforms/transforms.py", line 399, in get_params
    i = random.randint(0, h - th)
  File "/home/universe/miniconda3/lib/python3.6/random.py", line 221, in randint
    return self.randrange(a, b+1)
  File "/home/universe/miniconda3/lib/python3.6/random.py", line 199, in randrange
    raise ValueError("empty range for randrange() (%d,%d, %d)" % (istart, istop, width))
ValueError: empty range for randrange() (0,-22, -22)

Exception ignored in: <bound method _DataLoaderIter.__del__ of <torch.utils.data.dataloader._DataLoaderIter object at 0x7f77ab2ebcf8>>
Traceback (most recent call last):
  File "/home/universe/miniconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 399, in __del__
    self._shutdown_workers()
  File "/home/universe/miniconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 378, in _shutdown_workers
    self.worker_result_queue.get()
  File "/home/universe/miniconda3/lib/python3.6/multiprocessing/queues.py", line 337, in get
    return _ForkingPickler.loads(res)
  File "/home/universe/miniconda3/lib/python3.6/site-packages/torch/multiprocessing/reductions.py", line 70, in rebuild_storage_fd
    fd = df.detach()
  File "/home/universe/miniconda3/lib/python3.6/multiprocessing/resource_sharer.py", line 57, in detach
    with _resource_sharer.get_connection(self._id) as conn:
  File "/home/universe/miniconda3/lib/python3.6/multiprocessing/resource_sharer.py", line 87, in get_connection
    c = Client(address, authkey=process.current_process().authkey)
  File "/home/universe/miniconda3/lib/python3.6/multiprocessing/connection.py", line 487, in Client
    c = SocketClient(address)
  File "/home/universe/miniconda3/lib/python3.6/multiprocessing/connection.py", line 614, in SocketClient
    s.connect(address)
ConnectionRefusedError: [Errno 111] Connection refused

[junyanz]

It is not related to the visdom. It might be caused by data augmentation. I am not 100% sure. But your image sizes might be smaller than the fineSize (cropping size).