RuntimeError: input must be contiguous

[YiingWei]

当我进行Progressive Fine-Tuning中的Stage 3: Fine-Tune DualStyleGAN on Target Domain时，输入命令：python3 -m torch.distributed.launch --nproc_per_node=2 --master_port=8765 finetune_dualstylegan.py --iter 1500 --batch 1 --ckpt ./checkpoint/generator-pretrain-003000.pt --style_loss 0.25 --CX_loss 0.25 --perc_loss 1 --id_loss 1 --L2_reg_loss 0.015 --augment cartoon
显示报错：
Traceback (most recent call last):
File "finetune_dualstylegan.py", line 539, in
train(args, loader, generator, discriminator, g_optim, d_optim, g_ema, instyles, Simgs, exstyles, vggloss, id_loss, device)
File "finetune_dualstylegan.py", line 227, in train
r1_loss = d_r1_loss(real_pred, real_img)
File "/root/DualStyleGAN-main/util.py", line 72, in d_r1_loss
outputs=real_pred.sum(), inputs=real_img, create_graph=True
File "/usr/local/lib/python3.6/dist-packages/torch/autograd/init.py", line 204, in grad
inputs, allow_unused)
File "/usr/local/lib/python3.6/dist-packages/torch/autograd/function.py", line 89, in apply
return self._forward_cls.backward(self, *args) # type: ignore
File "/root/DualStyleGAN-main/model/stylegan/op/upfirdn2d.py", line 143, in backward
ctx.out_size,
File "/root/DualStyleGAN-main/model/stylegan/op/upfirdn2d.py", line 42, in forward
g_pad_y1,
RuntimeError: input must be contiguous

请问这种情况应该怎么解决呢？

[tlsdmswn01]

I encountered a similar issue as well.
How about trying to run it with a batch size greater than 1 instead of 1?
I resolved the problem by doing so!

Translation into advanced English vocabulary:

I too have faced a comparable predicament. Have you considered executing the script with a batch size exceeding 1? I personally overcame the issue by adopting this approach!

[williamyang1991]

#39 (comment)
Here is a solution