ValueError: The passed save_path is not a valid checkpoint: model/model.ckpt-43000

[JianfengNing]

How to fix this problem?

raceback (most recent call last): File "D:/Desktop/Codes/deeponet-master/deeponet-master/src/deeponet_pde.py", line 285, in main() File "D:/Desktop/Codes/deeponet-master/deeponet-master/src/deeponet_pde.py", line 281, in main run(problem, system, space, T, m, nn, net, lr, epochs, num_train, num_test) File "D:/Desktop/Codes/deeponet-master/deeponet-master/src/deeponet_pde.py", line 176, in run model.restore("model/model.ckpt-" + str(train_state.best_step), verbose=1) File "D:\Users\FIVE\miniconda3\lib\site-packages\deepxde\model.py", line 666, in restore self.saver.restore(self.sess, save_path) File "D:\Users\FIVE\miniconda3\lib\site-packages\tensorflow\python\training\saver.py", line 1290, in restore raise ValueError("The passed save_path is not a valid checkpoint: " + ValueError: The passed save_path is not a valid checkpoint: model/model.ckpt-43000

[lululxvi]

What is your backend?

[JianfengNing]

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tf2.x
    

    
        
    


    
    

    


On 12/7/2021 09:20，Lu ***@***.***> wrote： 

What is your backend?

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[MinZhu123]

You could replace the error line with model.restore(f"model/model-{train_state.best_step}.ckpt", verbose=1)

[cfd-ai]

@minzhu-penn - May I know which version of TensorFlow you use and which backend?
I had to do this: model.restore("model/model.ckpt-" + str(train_state.best_step) + ".ckpt", verbose=1) Because model files are like: model.ckpt-500.ckpt.meta model.ckpt-500.ckpt.index model.ckpt-500.ckpt.data-00000-of-00001

Backend: tensorflow.compat.v1 TensorFlow version: 2.6.2

[DaJiang7]

@JianfengNing I have the same problem as you. You can check the running memory of the computer.

[anshumansinha16]

I am getting this error as well! My backend is : Using backend: tensorflow.compat.v1'

code:

# Restore the best test loss model
    model.restore( save_dir +save_str+"/model.ckpt-" + str(np.argmin(model.losshistory.loss_test)*100), verbose=0)

Error:

Traceback (most recent call last):
  File "/Users/anshumansinha/Desktop/ML_project/./main.py", line 311, in <module>
    NN_MSEs_test, NN_MSEs_train = DeepONet(samples, split, y/np.max(np.abs(y)) , I, inds, neurons, epochs, b_layers)
  File "/Users/anshumansinha/Desktop/ML_project/./main.py", line 289, in DeepONet
    model.restore( save_dir +save_str+"/model.ckpt-" + str(np.argmin(model.losshistory.loss_test)*100), verbose=0)
  File "/Users/anshumansinha/venv/lib/python3.10/site-packages/deepxde/model.py", line 914, in restore
    self.saver.restore(self.sess, save_path)
  File "/Users/anshumansinha/venv/lib/python3.10/site-packages/tensorflow/python/training/saver.py", line 1409, in restore
    raise ValueError("The passed save_path is not a valid checkpoint: " +
ValueError: The passed save_path is not a valid checkpoint: /Users/anshumansinha/Desktop/ML_project/model/Levin1_Seed_1_Samples_100_X_4_5_epochs_10_blayers_3_neurons_125/model.ckpt-100

[anshumansinha16]

What is your backend?

I am using, `Using backend: tensorflow.compat.v1' and getting similar error : link

[lululxvi]

See FAQ Q: More details about DeepXDE source code, and want to modify DeepXDE at https://deepxde.readthedocs.io/en/latest/user/faq.html