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.

[scutfrank]

Traceback (most recent call last):
File "D:/1.Study/PycharmProjects/Score-CAM-master/test.py", line 50, in
basic_visualize(input_.cpu(), scorecam_map.type(torch.FloatTensor).cpu(), save_path='resnet.png')
File "D:\1.Study\PycharmProjects\Score-CAM-master\utils_init_.py", line 299, in basic_visualize
input_ = format_for_plotting(denormalize(input_))
File "D:\1.Study\PycharmProjects\Score-CAM-master\utils_init_.py", line 173, in denormalize
channel.mul_(std).add_(mean)

[scucmpunk]

me too

[haofanwang]

Could you try it on Colab? I think this is caused by the update in torch.

[hayleeXinyi]

change to this
count = 0 for channel, mean, std in zip(denormalized[0], means, stds): denormalized[0][count] = denormalized[0][count].mul(std) denormalized[0][count] = denormalized[0][count].add(mean) count+=1
the key is change channel.mul_(std).add_(mean) to denormalized[0][count] = denormalized[0][count].mul(std) and denormalized[0][count] = denormalized[0][count].add(mean). Because these are in place. 这里的乘法和加法都是就地操作的，这里不适用，所以要拆开来。按照发的这个代码换一下就可以了。

[zhengyuan-xie]

change to this count = 0 for channel, mean, std in zip(denormalized[0], means, stds): denormalized[0][count] = denormalized[0][count].mul(std) denormalized[0][count] = denormalized[0][count].add(mean) count+=1 the key is change channel.mul_(std).add_(mean) to denormalized[0][count] = denormalized[0][count].mul(std) and denormalized[0][count] = denormalized[0][count].add(mean). Because these are in place. 这里的乘法和加法都是就地操作的，这里不适用，所以要拆开来。按照发的这个代码换一下就可以了。

This solution is useful, thanks!