Rectangular image training failed，HELP！ HELP！

[HolicAnn]

My image is 860*688 rectangular image, I use the following command when training:

python train.py --dataroot ./datasets/white --name white --model pix2pix --direction AtoB --preprocess crop --crop_size 688

But when training errors, as follows
/home/alan/miniforge3/envs/torch/lib/python3.11/site-packages/torch/optim/lr_scheduler.py:136: UserWarning: Detected call of lr_scheduler.step() before optimizer.step(). In PyTorch 1.1.0 and
later, you should call them in the opposite order: optimizer.step() before lr_scheduler.step(). Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate
warnings.warn("Detected call of lr_scheduler.step() before optimizer.step(). "
learning rate 0.0002000 -> 0.0002000
Traceback (most recent call last):
File "/mnt/c/Users/Alan/Desktop/pytorch-CycleGAN-and-pix2pix-master/train.py", line 56, in
model.optimize_parameters() # calculate loss functions, get gradients, update network weights
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/mnt/c/Users/Alan/Desktop/pytorch-CycleGAN-and-pix2pix-master/models/pix2pix_model.py", line 117, in optimize_parameters
self.forward() # compute fake images: G(A)
^^^^^^^^^^^^^^
File "/mnt/c/Users/Alan/Desktop/pytorch-CycleGAN-and-pix2pix-master/models/pix2pix_model.py", line 88, in forward
self.fake_B = self.netG(self.real_A) # G(A)
^^^^^^^^^^^^^^^^^^^^^^
File "/home/alan/miniforge3/envs/torch/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/alan/miniforge3/envs/torch/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/alan/miniforge3/envs/torch/lib/python3.11/site-packages/torch/nn/parallel/data_parallel.py", line 183, in forward
return self.module(*inputs[0], **module_kwargs[0])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/alan/miniforge3/envs/torch/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/alan/miniforge3/envs/torch/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/mnt/c/Users/Alan/Desktop/pytorch-CycleGAN-and-pix2pix-master/models/networks.py", line 466, in forward
return self.model(input)
^^^^^^^^^^^^^^^^^
File "/home/alan/miniforge3/envs/torch/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/alan/miniforge3/envs/torch/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/mnt/c/Users/Alan/Desktop/pytorch-CycleGAN-and-pix2pix-master/models/networks.py", line 543, in forward
model_output = self.model(x)
^^^^^^^^^^^^^
File "/home/alan/miniforge3/envs/torch/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/alan/miniforge3/envs/torch/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/alan/miniforge3/envs/torch/lib/python3.11/site-packages/torch/nn/modules/container.py", line 215, in forward
input = module(input)
^^^^^^^^^^^^^
File "/home/alan/miniforge3/envs/torch/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/alan/miniforge3/envs/torch/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/mnt/c/Users/Alan/Desktop/pytorch-CycleGAN-and-pix2pix-master/models/networks.py", line 543, in forward
model_output = self.model(x)
^^^^^^^^^^^^^
File "/home/alan/miniforge3/envs/torch/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/alan/miniforge3/envs/torch/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/alan/miniforge3/envs/tor