Hello, there is a problem when I run your code, could you please help me to solve it?

[FBLeee]

==================== PRETRAINED MODEL Loading Succeeded ====================
==================== Reading Checkpoints ====================
=================== Fail to find a Checkpoint ====================
==================== No model to load ======================================

[*] Training Starts
Traceback (most recent call last):
File "D:\learningtool\python\1\lib\site-packages\tensorflow\python\client\session.py", line 1356, in _do_call
return fn(*args)
File "D:\learningtool\python\1\lib\site-packages\tensorflow\python\client\session.py", line 1341, in _run_fn
options, feed_dict, fetch_list, target_list, run_metadata)
File "D:\learningtool\python\1\lib\site-packages\tensorflow\python\client\session.py", line 1429, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.OutOfRangeError: End of sequence
[[{{node IteratorGetNext}}]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "G:/class/papper/MZSR-master/main.py", line 67, in
main()
File "G:/class/papper/MZSR-master/main.py", line 26, in main
Trainer()
File "G:\class\papper\MZSR-master\train.py", line 170, in call
inputa, labela, inputb, labelb = self.data_generator.make_data_tensor(sess, self.scale_list, noise_std=0.0)
File "G:\class\papper\MZSR-master\dataGenerator.py", line 21, in make_data_tensor
label_train_=sess.run(self.label_train)
File "D:\learningtool\python\1\lib\site-packages\tensorflow\python\client\session.py", line 950, in run
run_metadata_ptr)
File "D:\learningtool\python\1\lib\site-packages\tensorflow\python\client\session.py", line 1173, in _run
feed_dict_tensor, options, run_metadata)
File "D:\learningtool\python\1\lib\site-packages\tensorflow\python\client\session.py", line 1350, in _do_run
run_metadata)
File "D:\learningtool\python\1\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.OutOfRangeError: End of sequence
[[node IteratorGetNext (defined at G:\class\papper\MZSR-master\dataGenerator.py:82) ]]

Errors may have originated from an input operation.
Input Source operations connected to node IteratorGetNext:
OneShotIterator (defined at G:\class\papper\MZSR-master\dataGenerator.py:80)

Original stack trace for 'IteratorGetNext':
File "G:/class/papper/MZSR-master/main.py", line 67, in
main()
File "G:/class/papper/MZSR-master/main.py", line 20, in main
task_batch_size=TASK_BATCH_SIZE,tfrecord_path=TFRECORD_PATH)
File "G:\class\papper\MZSR-master\dataGenerator.py", line 16, in init
self.label_train = self.load_tfrecord()
File "G:\class\papper\MZSR-master\dataGenerator.py", line 82, in load_tfrecord
label_train = iterator.get_next()
File "D:\learningtool\python\1\lib\site-packages\tensorflow\python\data\ops\iterator_ops.py", line 426, in get_next
output_shapes=self._structure._flat_shapes, name=name)
File "D:\learningtool\python\1\lib\site-packages\tensorflow\python\ops\gen_dataset_ops.py", line 1973, in iterator_get_next
output_shapes=output_shapes, name=name)
File "D:\learningtool\python\1\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 788, in _apply_op_helper
op_def=op_def)
File "D:\learningtool\python\1\lib\site-packages\tensorflow\python\util\deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "D:\learningtool\python\1\lib\site-packages\tensorflow\python\framework\ops.py", line 3616, in create_op
op_def=op_def)
File "D:\learningtool\python\1\lib\site-packages\tensorflow\python\framework\ops.py", line 2005, in init
self._traceback = tf_stack.extract_stack()

[FBLeee]

I found that the code error might appear on line 17 of datagenerater.py: 【label_train_= sess. run(self. Label_train)】, 【 self. label_train】 can be output, but if you add 'sess.run', you will get an error. If you don't add this code, The following code will report an error.

[JWSoh]

I have just uploaded a code to generate TFRecord file for MZSR and fixed errors of some codes. Please try again with new codes.

[BassantTolba1234]

Please @JWSoh I'm facing a problem when i load the pretrained model , specially when it reads the checkpoint
this is the error .. how did you kindly solve it please ??

NotFoundError (see above for traceback): Key MODEL/conv7/kernel/Adam_3 not found in checkpoint
[[Node: save/RestoreV2_69 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2_69/tensor_names, save/RestoreV2_69/shape_and_slices)]]

[BassantTolba1234]

Please @943301098 I'm facing a problem when i load the pretrained model , specially when it reads the checkpoint
this is the error .. how did you kindly solve it please ??

NotFoundError (see above for traceback): Key MODEL/conv7/kernel/Adam_3 not found in checkpoint
[[Node: save/RestoreV2_69 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2_69/tensor_names, save/RestoreV2_69/shape_and_slices)]]

[BassantTolba1234]

Please can you kindly explain me how to calculate this weight loss ?

def get_loss_weights(self):
loss_weights = tf.ones(shape=[self.TASK_ITER]) * (1.0/self.TASK_ITER)
decay_rate = 1.0 / self.TASK_ITER / (10000 / 3)
min_value= 0.03 / self.TASK_ITER

    loss_weights_pre = tf.maximum(loss_weights[:-1] - (tf.multiply(tf.to_float(self.global_step), decay_rate)), min_value)

    loss_weight_cur= tf.minimum(loss_weights[-1] + (tf.multiply(tf.to_float(self.global_step),(self.TASK_ITER- 1) * decay_rate)), 1.0 - ((self.TASK_ITER - 1) * min_value))
    loss_weights = tf.concat([[loss_weights_pre], [[loss_weight_cur]]], axis=1)
    return loss_weights