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File "Code\core\train_auto_encoder_1.py", line 178, in
train()
File "Code\core\train_auto_encoder_1.py", line 153, in train
utility.freeze_model(sess,logs_path,tf.train.latest_checkpoint(logs_path),cae,"encoder_train.pb",cs.ENCODER1_FREEZED_PB_NAME)
File "Code\utils\utility.py", line 35, in freeze_model
freeze_graph.freeze_graph(input_graph_path,
File "AppData\Local\Programs\Python\Python39\lib\site-packages\tensorflow\python\tools\freeze_graph.py", line 346, in freeze_graph
return freeze_graph_with_def_protos(
File "AppData\Local\Programs\Python\Python39\lib\site-packages\tensorflow\python\tools\freeze_graph.py", line 189, in freeze_graph_with_def_protos
saver = saver_lib.Saver(
File "AppData\Local\Programs\Python\Python39\lib\site-packages\tensorflow\python\training\saver.py", line 836, in init
self.build()
File "AppData\Local\Programs\Python\Python39\lib\site-packages\tensorflow\python\training\saver.py", line 848, in build
self._build(self._filename, build_save=True, build_restore=True)
File "AppData\Local\Programs\Python\Python39\lib\site-packages\tensorflow\python\training\saver.py", line 876, in _build
self.saver_def = self._builder._build_internal( # pylint: disable=protected-access
File "AppData\Local\Programs\Python\Python39\lib\site-packages\tensorflow\python\training\saver.py", line 489, in _build_internal
saveables = saveable_object_util.validate_and_slice_inputs(
File "AppData\Local\Programs\Python\Python39\lib\site-packages\tensorflow\python\training\saving\saveable_object_util.py", line 362, in validate_and_slice_inputs
for converted_saveable_object in saveable_objects_for_op(op, name):
File "AppData\Local\Programs\Python\Python39\lib\site-packages\tensorflow\python\training\saving\saveable_object_util.py", line 223, in saveable_objects_for_op
yield ResourceVariableSaveable(variable, "", name)
File "AppData\Local\Programs\Python\Python39\lib\site-packages\tensorflow\python\training\saving\saveable_object_util.py", line 95, in init
self.handle_op = var.op.inputs[0]
IndexError: tuple index out of range
getting this error after running train_auto_encoder_1.py
and after updating every tensorflow v1 to v2
any ideas?