Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

AttributeError: 'ResourceVariable' object has no attribute 'overwrite_with_gradient' #2871

Open
Maqingkuii opened this issue Jun 11, 2024 · 2 comments

Comments

@Maqingkuii
Copy link

System information

  • OS Platform and Distribution (e.g., Linux Ubuntu 20.04):
  • TensorFlow version and how it was installed (source or binary):
  • TensorFlow-Addons version and how it was installed (source or binary):
  • Python version:
  • Is GPU used? (yes/no):

Describe the bug
Compiling model...
'compile' took 0.007720 s

Training model...

Step Train loss Test loss Test metric
0 [9.10e-03, 7.54e-03, 2.72e-02, 1.26e+00, 2.77e-01] [9.10e-03, 7.54e-03, 2.72e-02, 1.26e+00, 2.77e-01] []
Traceback (most recent call last):
File "E:\python\Paper_Programs\05_deepxde\examples\pinn_inverse\Navier_Stokes_inverse.py", line 124, in
loss_history, train_state = model.train(
File "E:\python\Paper_Programs\05_deepxde\deepxde\utils\internal.py", line 22, in wrapper
result = f(*args, **kwargs)
File "E:\python\Paper_Programs\05_deepxde\deepxde\model.py", line 650, in train
self.train_sgd(iterations, display_every)
File "E:\python\Paper_Programs\05_deepxde\deepxde\model.py", line 668, in train_sgd
self.train_step(
File "E:\python\Paper_Programs\05_deepxde\deepxde\model.py", line 560, in train_step
self.train_step(inputs, targets, auxiliary_vars)
File "C:\Users\86186\anaconda\envs\05_deepxde\lib\site-packages\tensorflow\python\util\traceback_utils.py", line 153, in error_handler
raise e.with_traceback(filtered_tb) from None
File "C:\Users\86186\AppData\Local\Temp_autograph_generated_file66hkpahi.py", line 16, in tf__train_step
ag
.converted_call(ag
.ld(opt).apply_gradients, (ag
_.converted_call(ag__.ld(zip), (ag__.ld(grads), ag__.ld(trainable_variables)), None, fscope),), None, fscope)
File "C:\Users\86186\anaconda\envs\05_deepxde\lib\site-packages\keras\src\optimizers\base_optimizer.py", line 282, in apply_gradients
self.apply(grads, trainable_variables)
File "C:\Users\86186\anaconda\envs\05_deepxde\lib\site-packages\keras\src\optimizers\base_optimizer.py", line 329, in apply
self._overwrite_variables_directly_with_gradients(
File "C:\Users\86186\anaconda\envs\05_deepxde\lib\site-packages\keras\src\optimizers\base_optimizer.py", line 618, in _overwrite_variables_directly_with_gradients
if v.overwrite_with_gradient:
AttributeError: in user code:

File "E:\python\Paper_Programs\05_deepxde\deepxde\model.py", line 249, in train_step  *
    opt.apply_gradients(zip(grads, trainable_variables))
File "C:\Users\86186\anaconda\envs\05_deepxde\lib\site-packages\keras\src\optimizers\base_optimizer.py", line 282, in apply_gradients  **
    self.apply(grads, trainable_variables)
File "C:\Users\86186\anaconda\envs\05_deepxde\lib\site-packages\keras\src\optimizers\base_optimizer.py", line 329, in apply
    self._overwrite_variables_directly_with_gradients(
File "C:\Users\86186\anaconda\envs\05_deepxde\lib\site-packages\keras\src\optimizers\base_optimizer.py", line 618, in _overwrite_variables_directly_with_gradients
    if v.overwrite_with_gradient:

AttributeError: 'ResourceVariable' object has no attribute 'overwrite_with_gradient'

Can anyone solve this problem?

@arezayan
Copy link

I encountered the same issue.

@Gurseeratkaur02
Copy link

I'm getting the same error. Did you find a way to solve it?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

3 participants