如何修复此Tensorflow Saver恢复错误，该错误在反复使用估算模型的def函数时发生

如何解决如何修复此Tensorflow Saver恢复错误，该错误在反复使用估算模型的def函数时发生

我使用张量流和keras创建了一个估计模型，并使用tf.train.Saver将其变成def函数。

但是，重复使用此def函数会发生以下错误。

此错误的原因是什么，我该如何解决？

“ Model.py”中估算模型的def函数

def LSTM_Model(input_data):
    x = tf.placeholder(tf.float32,[None,20,121],name="input")

    with tf.variable_scope('LSTM'):
        y_pred = Lsss(x)

    with tf.Session() as sess:
        saver = tf.train.Saver(max_to_keep=4)
        tf.global_variables_initializer().run()
        ckpt = tf.train.get_checkpoint_state(
            'C:\LSTM\LSTM_model3\LSTM_paper_2_mean20_4_3_epoch_31_look_back_20_1\Result3')
        saver.restore(sess,ckpt.model_checkpoint_path)

        K.set_learning_phase(False)

        height = sess.run([y_pred],{x: input_data})

    return height[0][0]

主要功能

from Model import LSTM_Model
from numpy import *
import hdf5storage
import numpy as np

def main():

    filename = 'Datafile'
    mat_file = hdf5storage.loadmat('C:/LSTM/Data/'+filename+'.mat')
    TrainSet = mat_file['Trainingset'][0]
    Train_time = mat_file['Train_time'][0]
    trainnum = 0
    data1 = TrainSet[trainnum]

    before_data = data1[Train_time[trainnum]-20:Train_time[trainnum],0:121]
    input_data = np.reshape(before_data,(1,121))
    height = LSTM_Model(input_data)*1000
    print(height)
    height = LSTM_Model(input_data)*1000
    print(height)

发生的错误

C:\Users\username\Anaconda3\python.exe C:/LSTM/main.py
[544.562]
Traceback (most recent call last):
  File "C:\Users\username\Anaconda3\lib\site-packages\tensorflow\python\client\session.py",line 1356,in _do_call
    return fn(*args)
  File "C:\Users\username\Anaconda3\lib\site-packages\tensorflow\python\client\session.py",line 1341,in _run_fn
    options,feed_dict,fetch_list,target_list,run_metadata)
  File "C:\Users\username\Anaconda3\lib\site-packages\tensorflow\python\client\session.py",line 1429,in _call_tf_sessionrun
    run_metadata)
tensorflow.python.framework.errors_impl.NotFoundError: 2 root error(s) found.
  (0) Not found: Key LSTM_1/cu_dnnlstm_3/bias not found in checkpoint
     [[{{node save_1/RestoreV2}}]]
  (1) Not found: Key LSTM_1/cu_dnnlstm_3/bias not found in checkpoint
     [[{{node save_1/RestoreV2}}]]
     [[save_1/RestoreV2/_37]]
0 successful operations.
0 derived errors ignored.

During handling of the above exception,another exception occurred:

Traceback (most recent call last):
  File "C:\Users\username\Anaconda3\lib\site-packages\tensorflow\python\training\saver.py",line 1286,in restore
    {self.saver_def.filename_tensor_name: save_path})
  File "C:\Users\username\Anaconda3\lib\site-packages\tensorflow\python\client\session.py",line 950,in run
    run_metadata_ptr)
  File "C:\Users\username\Anaconda3\lib\site-packages\tensorflow\python\client\session.py",line 1173,in _run
    feed_dict_tensor,options,line 1350,in _do_run
    run_metadata)
  File "C:\Users\username\Anaconda3\lib\site-packages\tensorflow\python\client\session.py",line 1370,in _do_call
    raise type(e)(node_def,op,message)
tensorflow.python.framework.errors_impl.NotFoundError: 2 root error(s) found.
  (0) Not found: Key LSTM_1/cu_dnnlstm_3/bias not found in checkpoint
     [[node save_1/RestoreV2 (defined at \LSTM\Model.py:35) ]]
  (1) Not found: Key LSTM_1/cu_dnnlstm_3/bias not found in checkpoint
     [[node save_1/RestoreV2 (defined at \LSTM\Model.py:35) ]]
     [[save_1/RestoreV2/_37]]
0 successful operations.
0 derived errors ignored.

Original stack trace for 'save_1/RestoreV2':
  File "/LSTM/main.py",line 114,in <module>
    main()
  File "/LSTM/main.py",line 96,in main
    height = LSTM_Model(input_data)*1000
  File "\LSTM\Model.py",line 35,in LSTM_Model
    saver = tf.train.Saver(max_to_keep=4)
  File "\Users\username\Anaconda3\lib\site-packages\tensorflow\python\training\saver.py",line 825,in __init__
    self.build()
  File "\Users\username\Anaconda3\lib\site-packages\tensorflow\python\training\saver.py",line 837,in build
    self._build(self._filename,build_save=True,build_restore=True)
  File "\Users\username\Anaconda3\lib\site-packages\tensorflow\python\training\saver.py",line 875,in _build
    build_restore=build_restore)
  File "\Users\username\Anaconda3\lib\site-packages\tensorflow\python\training\saver.py",line 508,in _build_internal
    restore_sequentially,reshape)
  File "\Users\username\Anaconda3\lib\site-packages\tensorflow\python\training\saver.py",line 328,in _AddRestoreOps
    restore_sequentially)
  File "\Users\username\Anaconda3\lib\site-packages\tensorflow\python\training\saver.py",line 575,in bulk_restore
    return io_ops.restore_v2(filename_tensor,names,slices,dtypes)
  File "\Users\username\Anaconda3\lib\site-packages\tensorflow\python\ops\gen_io_ops.py",line 1780,in restore_v2
    name=name)
  File "\Users\username\Anaconda3\lib\site-packages\tensorflow\python\framework\op_def_library.py",line 788,in _apply_op_helper
    op_def=op_def)
  File "\Users\username\Anaconda3\lib\site-packages\tensorflow\python\util\deprecation.py",line 507,in new_func
    return func(*args,**kwargs)
  File "\Users\username\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py",line 3616,in create_op
    op_def=op_def)
  File "\Users\username\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py",line 2005,in __init__
    self._traceback = tf_stack.extract_stack()


During handling of the above exception,line 1296,in restore
    names_to_keys = object_graph_key_mapping(save_path)
  File "C:\Users\username\Anaconda3\lib\site-packages\tensorflow\python\training\saver.py",line 1614,in object_graph_key_mapping
    object_graph_string = reader.get_tensor(trackable.OBJECT_GRAPH_PROTO_KEY)
  File "C:\Users\username\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py",line 678,in get_tensor
    return CheckpointReader_GetTensor(self,compat.as_bytes(tensor_str))
tensorflow.python.framework.errors_impl.NotFoundError: Key _CHECKPOINTABLE_OBJECT_GRAPH not found in checkpoint

During handling of the above exception,another exception occurred:

Traceback (most recent call last):
  File "C:/LSTM/main.py",in <module>
    main()
  File "C:/LSTM/main.py",in main
    height = LSTM_Model(input_data)*1000
  File "C:\LSTM\Model.py",line 39,in LSTM_Model
    saver.restore(sess,ckpt.model_checkpoint_path)
  File "C:\Users\username\Anaconda3\lib\site-packages\tensorflow\python\training\saver.py",line 1302,in restore
    err,"a Variable name or other graph key that is missing")
tensorflow.python.framework.errors_impl.NotFoundError: Restoring from checkpoint failed. This is most likely due to a Variable name or other graph key that is missing from the checkpoint. Please ensure that you have not altered the graph expected based on the checkpoint. Original error:

2 root error(s) found.
  (0) Not found: Key LSTM_1/cu_dnnlstm_3/bias not found in checkpoint
     [[node save_1/RestoreV2 (defined at \LSTM\Model.py:35) ]]
  (1) Not found: Key LSTM_1/cu_dnnlstm_3/bias not found in checkpoint
     [[node save_1/RestoreV2 (defined at \LSTM\Model.py:35) ]]
     [[save_1/RestoreV2/_37]]
0 successful operations.
0 derived errors ignored.

Original stack trace for 'save_1/RestoreV2':
  File "/LSTM/main.py",in __init__
    self._traceback = tf_stack.extract_stack()


Process finished