You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
recently i've run the tutorial codes for Neural style transfer and got an error like this
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-32-e24e09205fd4> in <module>()
1 output = run_style_transfer(cnn, cnn_normalization_mean, cnn_normalization_std,
----> 2 content_img, style_img, input_img)
3
4 plt.figure()
5 imshow(output, title='Output Image')
<ipython-input-31-3ee3a2602483> in run_style_transfer(cnn, normalization_mean, normalization_std, content_img, style_img, input_img, num_steps, style_weight, content_weight)
10 # update all the requires_grad fields accordingly
11 input_img.requires_grad_(True)
---> 12 model.requires_grad_(False)
13
~/anaconda3/lib/python3.6/site-packages/torch/nn/modules/module.py in __getattr__(self, name)
533 return modules[name]
534 raise AttributeError("'{}' object has no attribute '{}'".format(
--> 535 type(self).__name__, name))
536
537 def __setattr__(self, name, value):
AttributeError: 'Sequential' object has no attribute 'requires_grad_'
Since it was optimizing the input not the model, I changed the code "model.requires_grad_(False)" in run_style_transfer function to "model.eval()". And then it worked out fine!
i'm not sure if I changed it right, But I think this part should be modified in the code!
The text was updated successfully, but these errors were encountered:
Hello,
This example actually works fine. pytorch/pytorch#22576 added the requires_grad_ function for nn.Module as well. Does it still make sense to change to model.eval() ?
Hi, thanks for the all those easy tutorials!
recently i've run the tutorial codes for Neural style transfer and got an error like this
Since it was optimizing the input not the model, I changed the code "model.requires_grad_(False)" in run_style_transfer function to "model.eval()". And then it worked out fine!
i'm not sure if I changed it right, But I think this part should be modified in the code!
The text was updated successfully, but these errors were encountered: