I have started a new DLight model. Immediately on startup I get errors/warnings, can I ignore them?
It trains normally and stores the model.
Can a moderator move this to Training Support please
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Setting Faceswap backend to NVIDIA
01/28/2022 14:40:48 INFO Log level set to: INFO
01/28/2022 14:40:50 INFO Model A Directory: 'E:\Faces\A' (1496 images)
01/28/2022 14:40:50 INFO Model B Directory: 'E:\Faces\B' (4368 images)
01/28/2022 14:40:50 INFO Training data directory: E:\DLight-AtoB
01/28/2022 14:40:50 INFO ===================================================
01/28/2022 14:40:50 INFO Starting
01/28/2022 14:40:50 INFO Press 'Stop' to save and quit
01/28/2022 14:40:50 INFO ===================================================
01/28/2022 14:40:51 INFO Loading data, this may take a while...
01/28/2022 14:40:51 INFO Loading Model from Dlight plugin...
01/28/2022 14:40:51 INFO No existing state file found. Generating.
01/28/2022 14:40:53 INFO Loading Trainer from Original plugin...
XYZ:\miniconda3\envs\faceswap\lib\site-packages\tensorflow\python\keras\utils\generic_utils.py:494: CustomMaskWarning: Custom mask layers require a config and must override get_config. When loading, the custom mask layer must be passed to the custom_objects argument.
warnings.warn('Custom mask layers require a config and must override '
01/28/2022 14:41:14 INFO [Saved models] - Average loss since last save: face_a: 0.24084, face_b: 0.33067
Exception in Tkinter callback
Traceback (most recent call last):
File "XYZ:\miniconda3\envs\faceswap\lib\tkinter\__init__.py", line 1892, in __call__
return self.func(*args)
File "XYZ:\miniconda3\envs\faceswap\lib\tkinter\__init__.py", line 814, in callit
func(*args)
File "XYZ\faceswap\lib\gui\display_graph.py", line 300, in refresh
self.calcs = self.thread.get_result() # Terminate the LongRunningTask object
File "XYZ\faceswap\lib\gui\utils.py", line 1230, in get_result
raise self.err[1].with_traceback(self.err[2])
File "XYZ\faceswap\lib\gui\utils.py", line 1201, in run
retval = self._target(*self._args, **self._kwargs)
File "XYZ\faceswap\lib\gui\analysis\stats.py", line 558, in refresh
self._get_raw()
File "XYZ\faceswap\lib\gui\analysis\stats.py", line 621, in _get_raw
loss_dict = _SESSION.get_loss(self._session_id)
File "XYZ\faceswap\lib\gui\analysis\stats.py", line 174, in get_loss
loss_dict = self._tb_logs.get_loss(session_id=session_id)
File "XYZ\faceswap\lib\gui\analysis\event_reader.py", line 466, in get_loss
self._check_cache(idx)
File "XYZ\faceswap\lib\gui\analysis\event_reader.py", line 440, in _check_cache
self._cache_data(session_id)
File "XYZ\faceswap\lib\gui\analysis\event_reader.py", line 425, in _cache_data
iterator = self._training_iterator if live_data else tf.compat.v1.io.tf_record_iterator(
File "XYZ:\miniconda3\envs\faceswap\lib\site-packages\tensorflow\python\util\deprecation.py", line 346, in new_func
return func(*args, **kwargs)
File "XYZ:\miniconda3\envs\faceswap\lib\site-packages\tensorflow\python\lib\io\tf_record.py", line 171, in tf_record_iterator
return _pywrap_record_io.RecordIterator(path, compression_type)
TypeError: __init__(): incompatible constructor arguments. The following argument types are supported:
1. tensorflow.python.lib.io._pywrap_record_io.RecordIterator(arg0: str, arg1: str)
Invoked with: None, ''
Exception in Tkinter callback
Traceback (most recent call last):
File "XYZ:\miniconda3\envs\faceswap\lib\tkinter\__init__.py", line 1892, in __call__
return self.func(*args)
File "XYZ\faceswap\lib\gui\display_graph.py", line 300, in refresh
self.calcs = self.thread.get_result() # Terminate the LongRunningTask object
File "XYZ\faceswap\lib\gui\utils.py", line 1230, in get_result
raise self.err[1].with_traceback(self.err[2])
File "XYZ\faceswap\lib\gui\utils.py", line 1201, in run
retval = self._target(*self._args, **self._kwargs)
File "XYZ\faceswap\lib\gui\analysis\stats.py", line 558, in refresh
self._get_raw()
File "XYZ\faceswap\lib\gui\analysis\stats.py", line 621, in _get_raw
loss_dict = _SESSION.get_loss(self._session_id)
File "XYZ\faceswap\lib\gui\analysis\stats.py", line 174, in get_loss
loss_dict = self._tb_logs.get_loss(session_id=session_id)
File "XYZ\faceswap\lib\gui\analysis\event_reader.py", line 466, in get_loss
self._check_cache(idx)
File "XYZ\faceswap\lib\gui\analysis\event_reader.py", line 440, in _check_cache
self._cache_data(session_id)
File "XYZ\faceswap\lib\gui\analysis\event_reader.py", line 425, in _cache_data
iterator = self._training_iterator if live_data else tf.compat.v1.io.tf_record_iterator(
File "XYZ:\miniconda3\envs\faceswap\lib\site-packages\tensorflow\python\util\deprecation.py", line 346, in new_func
return func(*args, **kwargs)
File "XYZ:\miniconda3\envs\faceswap\lib\site-packages\tensorflow\python\lib\io\tf_record.py", line 171, in tf_record_iterator
return _pywrap_record_io.RecordIterator(path, compression_type)
TypeError: __init__(): incompatible constructor arguments. The following argument types are supported:
1. tensorflow.python.lib.io._pywrap_record_io.RecordIterator(arg0: str, arg1: str)
Invoked with: None, ''
01/28/2022 14:45:32 INFO [Saved models] - Average loss since last save: face_a: 0.11441, face_b: 0.06936