RuntimeError: Output 0 of UnbindBackward is a view and is being modified inplace.

1. 问题描述：

在使用utils中的make_grid函数时

utils.make_grid(fmap, normalize=True, scale_each=True, nrow=nrow)

如果出现：

Traceback (most recent call last):
  File "visualization.py", line 94, in <module>
    fmap_grid = vutils.make_grid(fmap, normalize=True, scale_each=True, nrow=nrow)
  File "/home/lab/anaconda3/envs/instagan/lib/python3.6/site-packages/torchvision/utils.py", line 75, in make_grid
    norm_range(t, range)
  File "/home/lab/anaconda3/envs/instagan/lib/python3.6/site-packages/torchvision/utils.py", line 71, in norm_range
    norm_ip(t, float(t.min()), float(t.max()))
  File "/home/lab/anaconda3/envs/instagan/lib/python3.6/site-packages/torchvision/utils.py", line 64, in norm_ip
    img.clamp_(min=min, max=max)
RuntimeError: Output 0 of UnbindBackward is a view and is being modified inplace. This view is the output of a function that returns multiple views. Such functions do not allow the output views to be modified inplace. You should replace the inplace operation by an out-of-place one.

2. 问题解释：

为pytorch版本问题，在1.7 之后使用该函数汇报错。

３.解决：

进入utils.py文件，将第74行进行修改：

        if scale_each is True:
            for t in tensor:  # loop over mini-batch dimension
                norm_range(t, range)

修改后：

        if scale_each is True:
            ########　modified by yuss in 2022.02.15, for RuntimeError
            for idx, _ in enumerate([jj for jj in tensor]):
                t = tensor[idx]