training error: AttributeError: 'LossWrapper' object has no attribute '__name__'

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FWfswp
Posts: 1
Joined: Tue Jun 07, 2022 5:19 am

training error: AttributeError: 'LossWrapper' object has no attribute '__name__'

Post by FWfswp »

Forum help me plz!!!
the software told me

Code: Select all

06/07/2022 13:18:07 INFO     Loading Trainer from Original plugin...
06/07/2022 13:18:10 CRITICAL Error caught! Exiting...
06/07/2022 13:18:10 ERROR    Caught exception in thread: '_training_0'
06/07/2022 13:18:13 ERROR    Got Exception on main handler:
Traceback (most recent call last):
  File "C:\Users\Administrator\faceswap\lib\cli\launcher.py", line 182, in execute_script
    process.process()
  File "C:\Users\Administrator\faceswap\scripts\train.py", line 190, in process
    self._end_thread(thread, err)
  File "C:\Users\Administrator\faceswap\scripts\train.py", line 230, in _end_thread
    thread.join()
  File "C:\Users\Administrator\faceswap\lib\multithreading.py", line 121, in join
    raise thread.err[1].with_traceback(thread.err[2])
  File "C:\Users\Administrator\faceswap\lib\multithreading.py", line 37, in run
    self._target(*self._args, **self._kwargs)
  File "C:\Users\Administrator\faceswap\scripts\train.py", line 252, in _training
    raise err
  File "C:\Users\Administrator\faceswap\scripts\train.py", line 242, in _training
    self._run_training_cycle(model, trainer)
  File "C:\Users\Administrator\faceswap\scripts\train.py", line 327, in _run_training_cycle
    trainer.train_one_step(viewer, timelapse)
  File "C:\Users\Administrator\faceswap\plugins\train\trainer\_base.py", line 194, in train_one_step
    loss = self._model.model.train_on_batch(model_inputs, y=model_targets)
  File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py", line 1695, in train_on_batch
    logs = train_function(iterator)
  File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\eager\def_function.py", line 780, in __call__
    result = self._call(*args, **kwds)
  File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\eager\def_function.py", line 823, in _call
    self._initialize(args, kwds, add_initializers_to=initializers)
  File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\eager\def_function.py", line 696, in _initialize
    self._stateful_fn._get_concrete_function_internal_garbage_collected(  # pylint: disable=protected-access
  File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\eager\function.py", line 2855, in _get_concrete_function_internal_garbage_collected
    graph_function, _, _ = self._maybe_define_function(args, kwargs)
  File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\eager\function.py", line 3213, in _maybe_define_function
    graph_function = self._create_graph_function(args, kwargs)
  File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\eager\function.py", line 3065, in _create_graph_function
    func_graph_module.func_graph_from_py_func(
  File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\framework\func_graph.py", line 986, in func_graph_from_py_func
    func_outputs = python_func(*func_args, **func_kwargs)
  File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\eager\def_function.py", line 600, in wrapped_fn
    return weak_wrapped_fn().__wrapped__(*args, **kwds)
  File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\framework\func_graph.py", line 973, in wrapper
    raise e.ag_error_metadata.to_exception(e)
AttributeError: in user code:

D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:806 train_function  *
    return step_function(self, iterator)
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:796 step_function  **
    outputs = model.distribute_strategy.run(run_step, args=(data,))
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:1211 run
    return self._extended.call_for_each_replica(fn, args=args, kwargs=kwargs)
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:2585 call_for_each_replica
    return self._call_for_each_replica(fn, args, kwargs)
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:2945 _call_for_each_replica
    return fn(*args, **kwargs)
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:789 run_step  **
    outputs = model.train_step(data)
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:748 train_step
    loss = self.compiled_loss(
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\compile_utils.py:187 __call__
    self.build(y_pred)
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\compile_utils.py:140 build
    self._losses = nest.map_structure(self._get_loss_object, self._losses)
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\util\nest.py:635 map_structure
    structure[0], [func(*x) for x in entries],
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\util\nest.py:635 <listcomp>
    structure[0], [func(*x) for x in entries],
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\compile_utils.py:265 _get_loss_object
    loss_name = loss.__name__

AttributeError: 'LossWrapper' object has no attribute '__name__'

06/07/2022 13:18:13 CRITICAL An unexpected crash has occurred. Crash report written to 'C:\Users\Administrator\faceswap\crash_report.2022.06.07.131810556838.log'. You MUST provide this file if seeking assistance. Please verify you are running the latest version of faceswap before reporting
Process exited.[/quote]

and there is the crush report in the following text
[quote]06/07/2022 13:18:07 MainProcess     _training_0                    _base           _load_generator                DEBUG    Loading generator
06/07/2022 13:18:07 MainProcess     _training_0                    _base           _load_generator                DEBUG    input_size: 64, output_shapes: [(64, 64, 3)]
06/07/2022 13:18:07 MainProcess     _training_0                    generator       __init__                       DEBUG    Initializing TrainingDataGenerator: (model_input_size: 64, model_output_shapes: [(64, 64, 3)], coverage_ratio: 0.6875, color_order: bgr, augment_color: True, no_flip: False, no_warp: False, warp_to_landmarks: False, config: {'centering': 'face', 'coverage': 68.75, 'icnr_init': False, 'conv_aware_init': False, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'extended', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'preview_images': 14, 'zoom_amount': 5, 'rotation_range': 10, 'shift_range': 5, 'flip_chance': 50, 'color_lightness': 30, 'color_ab': 8, 'color_clahe_chance': 50, 'color_clahe_max_size': 4})
06/07/2022 13:18:07 MainProcess     _training_0                    generator       __init__                       DEBUG    Initialized TrainingDataGenerator
06/07/2022 13:18:07 MainProcess     _training_0                    generator       minibatch_ab                   DEBUG    Queue batches: (image_count: 5449, batchsize: 64, side: 'a', do_shuffle: True, is_preview, False, is_timelapse: False)
06/07/2022 13:18:07 MainProcess     _training_0                    generator       _get_cache                     DEBUG    Creating cache. Side: a
06/07/2022 13:18:07 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initializing ImageAugmentation: (batchsize: 64, is_display: False, input_size: 64, output_shapes: [(64, 64, 3)], coverage_ratio: 0.6875, config: {'centering': 'face', 'coverage': 68.75, 'icnr_init': False, 'conv_aware_init': False, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'extended', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'preview_images': 14, 'zoom_amount': 5, 'rotation_range': 10, 'shift_range': 5, 'flip_chance': 50, 'color_lightness': 30, 'color_ab': 8, 'color_clahe_chance': 50, 'color_clahe_max_size': 4})
06/07/2022 13:18:07 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Output sizes: [64]
06/07/2022 13:18:07 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initialized ImageAugmentation
06/07/2022 13:18:07 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initializing BackgroundGenerator: (target: '_run', thread_count: 2)
06/07/2022 13:18:07 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initialized BackgroundGenerator: '_run'
06/07/2022 13:18:07 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread(s): '_run'
06/07/2022 13:18:07 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 1 of 2: '_run_0'
06/07/2022 13:18:07 MainProcess     _run_0                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 5449, side: 'a', do_shuffle: True)
06/07/2022 13:18:07 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 2 of 2: '_run_1'
06/07/2022 13:18:07 MainProcess     _run_1                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 5449, side: 'a', do_shuffle: True)
06/07/2022 13:18:07 MainProcess     _training_0                    multithreading  start                          DEBUG    Started all threads '_run': 2
06/07/2022 13:18:07 MainProcess     _training_0                    _base           _load_generator                DEBUG    Loading generator
06/07/2022 13:18:07 MainProcess     _training_0                    _base           _load_generator                DEBUG    input_size: 64, output_shapes: [(64, 64, 3)]
06/07/2022 13:18:07 MainProcess     _training_0                    generator       __init__                       DEBUG    Initializing TrainingDataGenerator: (model_input_size: 64, model_output_shapes: [(64, 64, 3)], coverage_ratio: 0.6875, color_order: bgr, augment_color: True, no_flip: False, no_warp: False, warp_to_landmarks: False, config: {'centering': 'face', 'coverage': 68.75, 'icnr_init': False, 'conv_aware_init': False, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'extended', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'preview_images': 14, 'zoom_amount': 5, 'rotation_range': 10, 'shift_range': 5, 'flip_chance': 50, 'color_lightness': 30, 'color_ab': 8, 'color_clahe_chance': 50, 'color_clahe_max_size': 4})
06/07/2022 13:18:07 MainProcess     _training_0                    generator       __init__                       DEBUG    Initialized TrainingDataGenerator
06/07/2022 13:18:07 MainProcess     _training_0                    generator       minibatch_ab                   DEBUG    Queue batches: (image_count: 5743, batchsize: 64, side: 'b', do_shuffle: True, is_preview, False, is_timelapse: False)
06/07/2022 13:18:07 MainProcess     _training_0                    generator       _get_cache                     DEBUG    Creating cache. Side: b
06/07/2022 13:18:07 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initializing ImageAugmentation: (batchsize: 64, is_display: False, input_size: 64, output_shapes: [(64, 64, 3)], coverage_ratio: 0.6875, config: {'centering': 'face', 'coverage': 68.75, 'icnr_init': False, 'conv_aware_init': False, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'extended', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'preview_images': 14, 'zoom_amount': 5, 'rotation_range': 10, 'shift_range': 5, 'flip_chance': 50, 'color_lightness': 30, 'color_ab': 8, 'color_clahe_chance': 50, 'color_clahe_max_size': 4})
06/07/2022 13:18:07 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Output sizes: [64]
06/07/2022 13:18:07 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initialized ImageAugmentation
06/07/2022 13:18:07 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initializing BackgroundGenerator: (target: '_run', thread_count: 2)
06/07/2022 13:18:07 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initialized BackgroundGenerator: '_run'
06/07/2022 13:18:07 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread(s): '_run'
06/07/2022 13:18:07 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 1 of 2: '_run_0'
06/07/2022 13:18:07 MainProcess     _run_0                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 5743, side: 'b', do_shuffle: True)
06/07/2022 13:18:07 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 2 of 2: '_run_1'
06/07/2022 13:18:07 MainProcess     _run_1                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 5743, side: 'b', do_shuffle: True)
06/07/2022 13:18:07 MainProcess     _training_0                    multithreading  start                          DEBUG    Started all threads '_run': 2
06/07/2022 13:18:07 MainProcess     _training_0                    _base           _set_preview_feed              DEBUG    Setting preview feed: (side: 'a')
06/07/2022 13:18:07 MainProcess     _training_0                    _base           _load_generator                DEBUG    Loading generator
06/07/2022 13:18:07 MainProcess     _training_0                    _base           _load_generator                DEBUG    input_size: 64, output_shapes: [(64, 64, 3)]
06/07/2022 13:18:07 MainProcess     _training_0                    generator       __init__                       DEBUG    Initializing TrainingDataGenerator: (model_input_size: 64, model_output_shapes: [(64, 64, 3)], coverage_ratio: 0.6875, color_order: bgr, augment_color: True, no_flip: False, no_warp: False, warp_to_landmarks: False, config: {'centering': 'face', 'coverage': 68.75, 'icnr_init': False, 'conv_aware_init': False, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'extended', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'preview_images': 14, 'zoom_amount': 5, 'rotation_range': 10, 'shift_range': 5, 'flip_chance': 50, 'color_lightness': 30, 'color_ab': 8, 'color_clahe_chance': 50, 'color_clahe_max_size': 4})
06/07/2022 13:18:07 MainProcess     _training_0                    generator       __init__                       DEBUG    Initialized TrainingDataGenerator
06/07/2022 13:18:07 MainProcess     _training_0                    generator       minibatch_ab                   DEBUG    Queue batches: (image_count: 5449, batchsize: 14, side: 'a', do_shuffle: True, is_preview, True, is_timelapse: False)
06/07/2022 13:18:07 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initializing ImageAugmentation: (batchsize: 14, is_display: True, input_size: 64, output_shapes: [(64, 64, 3)], coverage_ratio: 0.6875, config: {'centering': 'face', 'coverage': 68.75, 'icnr_init': False, 'conv_aware_init': False, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'extended', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'preview_images': 14, 'zoom_amount': 5, 'rotation_range': 10, 'shift_range': 5, 'flip_chance': 50, 'color_lightness': 30, 'color_ab': 8, 'color_clahe_chance': 50, 'color_clahe_max_size': 4})
06/07/2022 13:18:07 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Output sizes: [64]
06/07/2022 13:18:07 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initialized ImageAugmentation
06/07/2022 13:18:07 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initializing BackgroundGenerator: (target: '_run', thread_count: 2)
06/07/2022 13:18:07 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initialized BackgroundGenerator: '_run'
06/07/2022 13:18:07 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread(s): '_run'
06/07/2022 13:18:07 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 1 of 2: '_run_0'
06/07/2022 13:18:07 MainProcess     _run_0                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 5449, side: 'a', do_shuffle: True)
06/07/2022 13:18:07 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 2 of 2: '_run_1'
06/07/2022 13:18:07 MainProcess     _run_1                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 5449, side: 'a', do_shuffle: True)
06/07/2022 13:18:07 MainProcess     _training_0                    multithreading  start                          DEBUG    Started all threads '_run': 2
06/07/2022 13:18:07 MainProcess     _training_0                    _base           _set_preview_feed              DEBUG    Setting preview feed: (side: 'b')
06/07/2022 13:18:07 MainProcess     _training_0                    _base           _load_generator                DEBUG    Loading generator
06/07/2022 13:18:07 MainProcess     _training_0                    _base           _load_generator                DEBUG    input_size: 64, output_shapes: [(64, 64, 3)]
06/07/2022 13:18:07 MainProcess     _training_0                    generator       __init__                       DEBUG    Initializing TrainingDataGenerator: (model_input_size: 64, model_output_shapes: [(64, 64, 3)], coverage_ratio: 0.6875, color_order: bgr, augment_color: True, no_flip: False, no_warp: False, warp_to_landmarks: False, config: {'centering': 'face', 'coverage': 68.75, 'icnr_init': False, 'conv_aware_init': False, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'extended', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'preview_images': 14, 'zoom_amount': 5, 'rotation_range': 10, 'shift_range': 5, 'flip_chance': 50, 'color_lightness': 30, 'color_ab': 8, 'color_clahe_chance': 50, 'color_clahe_max_size': 4})
06/07/2022 13:18:07 MainProcess     _training_0                    generator       __init__                       DEBUG    Initialized TrainingDataGenerator
06/07/2022 13:18:07 MainProcess     _training_0                    generator       minibatch_ab                   DEBUG    Queue batches: (image_count: 5743, batchsize: 14, side: 'b', do_shuffle: True, is_preview, True, is_timelapse: False)
06/07/2022 13:18:07 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initializing ImageAugmentation: (batchsize: 14, is_display: True, input_size: 64, output_shapes: [(64, 64, 3)], coverage_ratio: 0.6875, config: {'centering': 'face', 'coverage': 68.75, 'icnr_init': False, 'conv_aware_init': False, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'extended', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'preview_images': 14, 'zoom_amount': 5, 'rotation_range': 10, 'shift_range': 5, 'flip_chance': 50, 'color_lightness': 30, 'color_ab': 8, 'color_clahe_chance': 50, 'color_clahe_max_size': 4})
06/07/2022 13:18:07 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Output sizes: [64]
06/07/2022 13:18:07 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initialized ImageAugmentation
06/07/2022 13:18:07 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initializing BackgroundGenerator: (target: '_run', thread_count: 2)
06/07/2022 13:18:07 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initialized BackgroundGenerator: '_run'
06/07/2022 13:18:07 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread(s): '_run'
06/07/2022 13:18:07 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 1 of 2: '_run_0'
06/07/2022 13:18:07 MainProcess     _run_0                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 5743, side: 'b', do_shuffle: True)
06/07/2022 13:18:07 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 2 of 2: '_run_1'
06/07/2022 13:18:07 MainProcess     _run_1                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 5743, side: 'b', do_shuffle: True)
06/07/2022 13:18:07 MainProcess     _training_0                    multithreading  start                          DEBUG    Started all threads '_run': 2
06/07/2022 13:18:07 MainProcess     _training_0                    _base           _set_preview_feed              DEBUG    Set preview feed. Batchsize: 14
06/07/2022 13:18:07 MainProcess     _training_0                    _base           __init__                       DEBUG    Initialized _Feeder:
06/07/2022 13:18:07 MainProcess     _training_0                    _base           _set_tensorboard               DEBUG    Enabling TensorBoard Logging
06/07/2022 13:18:07 MainProcess     _training_0                    _base           _set_tensorboard               DEBUG    Setting up TensorBoard Logging
06/07/2022 13:18:07 MainProcess     _training_0                    _base           _set_tensorboard               VERBOSE  Enabled TensorBoard Logging
06/07/2022 13:18:07 MainProcess     _training_0                    _base           __init__                       DEBUG    Initializing _Samples: model: '<plugins.train.model.original.Model object at 0x000001C034E0C340>', coverage_ratio: 0.6875)
06/07/2022 13:18:07 MainProcess     _training_0                    _base           __init__                       DEBUG    Initialized _Samples
06/07/2022 13:18:07 MainProcess     _training_0                    _base           __init__                       DEBUG    Initializing _Timelapse: model: <plugins.train.model.original.Model object at 0x000001C034E0C340>, coverage_ratio: 0.6875, image_count: 14, feeder: '<plugins.train.trainer._base._Feeder object at 0x000001C034E8EC70>', image_paths: 2)
06/07/2022 13:18:07 MainProcess     _training_0                    _base           __init__                       DEBUG    Initializing _Samples: model: '<plugins.train.model.original.Model object at 0x000001C034E0C340>', coverage_ratio: 0.6875)
06/07/2022 13:18:07 MainProcess     _training_0                    _base           __init__                       DEBUG    Initialized _Samples
06/07/2022 13:18:07 MainProcess     _training_0                    _base           __init__                       DEBUG    Initialized _Timelapse
06/07/2022 13:18:07 MainProcess     _training_0                    _base           __init__                       DEBUG    Initialized Trainer
06/07/2022 13:18:07 MainProcess     _training_0                    train           _load_trainer                  DEBUG    Loaded Trainer
06/07/2022 13:18:07 MainProcess     _training_0                    train           _run_training_cycle            DEBUG    Running Training Cycle
06/07/2022 13:18:07 MainProcess     _run_0                         generator       _validate_version              DEBUG    Setting initial extract version: 2.2
06/07/2022 13:18:07 MainProcess     _run_0                         generator       _validate_version              DEBUG    Setting initial extract version: 2.2
06/07/2022 13:18:08 MainProcess     _run_0                         augmentation    initialize                     DEBUG    Initializing constants. training_size: 384
06/07/2022 13:18:08 MainProcess     _run_0                         augmentation    initialize                     DEBUG    Initializing constants. training_size: 384
06/07/2022 13:18:08 MainProcess     _run_0                         augmentation    initialize                     DEBUG    Initialized constants: {'clahe_base_contrast': 3, 'tgt_slices': slice(60, 324, None), 'warp_mapx': '[[[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n ...\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]]', 'warp_mapy': '[[[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n ...\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]]', 'warp_pad': 80, 'warp_slices': slice(8, -8, None), 'warp_lm_edge_anchors': '[[[  0   0]\n  [  0 383]\n  [383 383]\n  ...\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  ...\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  ...\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n ...\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  ...\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  ...\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  ...\n  [191 383]\n  [383 191]\n  [  0 191]]]', 'warp_lm_grids': '[[[  0.   0.   0. ...   0.   0.   0.]\n  [  1.   1.   1. ...   1.   1.   1.]\n  [  2.   2.   2. ...   2.   2.   2.]\n  ...\n  [381. 381. 381. ... 381. 381. 381.]\n  [382. 382. 382. ... 382. 382. 382.]\n  [383. 383. 383. ... 383. 383. 383.]]\n\n [[  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  ...\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]]]'}
06/07/2022 13:18:08 MainProcess     _run_0                         augmentation    initialize                     DEBUG    Initialized constants: {'clahe_base_contrast': 3, 'tgt_slices': slice(60, 324, None), 'warp_mapx': '[[[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n ...\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]]', 'warp_mapy': '[[[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n ...\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]]', 'warp_pad': 80, 'warp_slices': slice(8, -8, None), 'warp_lm_edge_anchors': '[[[  0   0]\n  [  0 383]\n  [383 383]\n  ...\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  ...\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  ...\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n ...\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  ...\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  ...\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  ...\n  [191 383]\n  [383 191]\n  [  0 191]]]', 'warp_lm_grids': '[[[  0.   0.   0. ...   0.   0.   0.]\n  [  1.   1.   1. ...   1.   1.   1.]\n  [  2.   2.   2. ...   2.   2.   2.]\n  ...\n  [381. 381. 381. ... 381. 381. 381.]\n  [382. 382. 382. ... 382. 382. 382.]\n  [383. 383. 383. ... 383. 383. 383.]]\n\n [[  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  ...\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]]]'}
06/07/2022 13:18:09 MainProcess     _run_0                         augmentation    initialize                     DEBUG    Initializing constants. training_size: 384
06/07/2022 13:18:09 MainProcess     _run_0                         augmentation    initialize                     DEBUG    Initializing constants. training_size: 384
06/07/2022 13:18:09 MainProcess     _run_0                         augmentation    initialize                     DEBUG    Initialized constants: {'clahe_base_contrast': 3, 'tgt_slices': slice(60, 324, None), 'warp_mapx': '[[[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]]', 'warp_mapy': '[[[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]]', 'warp_pad': 80, 'warp_slices': slice(8, -8, None), 'warp_lm_edge_anchors': '[[[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]]', 'warp_lm_grids': '[[[  0.   0.   0. ...   0.   0.   0.]\n  [  1.   1.   1. ...   1.   1.   1.]\n  [  2.   2.   2. ...   2.   2.   2.]\n  ...\n  [381. 381. 381. ... 381. 381. 381.]\n  [382. 382. 382. ... 382. 382. 382.]\n  [383. 383. 383. ... 383. 383. 383.]]\n\n [[  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  ...\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]]]'}
06/07/2022 13:18:09 MainProcess     _run_0                         augmentation    initialize                     DEBUG    Initialized constants: {'clahe_base_contrast': 3, 'tgt_slices': slice(60, 324, None), 'warp_mapx': '[[[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]]', 'warp_mapy': '[[[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]]', 'warp_pad': 80, 'warp_slices': slice(8, -8, None), 'warp_lm_edge_anchors': '[[[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]]', 'warp_lm_grids': '[[[  0.   0.   0. ...   0.   0.   0.]\n  [  1.   1.   1. ...   1.   1.   1.]\n  [  2.   2.   2. ...   2.   2.   2.]\n  ...\n  [381. 381. 381. ... 381. 381. 381.]\n  [382. 382. 382. ... 382. 382. 382.]\n  [383. 383. 383. ... 383. 383. 383.]]\n\n [[  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  ...\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]]]'}
06/07/2022 13:18:10 MainProcess     _training_0                    multithreading  run                            DEBUG    Error in thread (_training_0): in user code:\n\n    D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:806 train_function  *\n        return step_function(self, iterator)\n    D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:796 step_function  **\n        outputs = model.distribute_strategy.run(run_step, args=(data,))\n    D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:1211 run\n        return self._extended.call_for_each_replica(fn, args=args, kwargs=kwargs)\n    D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:2585 call_for_each_replica\n        return self._call_for_each_replica(fn, args, kwargs)\n    D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:2945 _call_for_each_replica\n        return fn(*args, **kwargs)\n    D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:789 run_step  **\n        outputs = model.train_step(data)\n    D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:748 train_step\n        loss = self.compiled_loss(\n    D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\compile_utils.py:187 __call__\n        self.build(y_pred)\n    D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\compile_utils.py:140 build\n        self._losses = nest.map_structure(self._get_loss_object, self._losses)\n    D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\util\nest.py:635 map_structure\n        structure[0], [func(*x) for x in entries],\n    D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\util\nest.py:635 <listcomp>\n        structure[0], [func(*x) for x in entries],\n    D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\compile_utils.py:265 _get_loss_object\n        loss_name = loss.__name__\n\n    AttributeError: 'LossWrapper' object has no attribute '__name__'\n
06/07/2022 13:18:10 MainProcess     MainThread                     train           _monitor                       DEBUG    Thread error detected
06/07/2022 13:18:10 MainProcess     MainThread                     train           _monitor                       DEBUG    Closed Monitor
06/07/2022 13:18:10 MainProcess     MainThread                     train           _end_thread                    DEBUG    Ending Training thread
06/07/2022 13:18:10 MainProcess     MainThread                     train           _end_thread                    CRITICAL Error caught! Exiting...
06/07/2022 13:18:10 MainProcess     MainThread                     multithreading  join                           DEBUG    Joining Threads: '_training'
06/07/2022 13:18:10 MainProcess     MainThread                     multithreading  join                           DEBUG    Joining Thread: '_training_0'
06/07/2022 13:18:10 MainProcess     MainThread                     multithreading  join                           ERROR    Caught exception in thread: '_training_0'
Traceback (most recent call last):
  File "C:\Users\Administrator\faceswap\lib\cli\launcher.py", line 182, in execute_script
    process.process()
  File "C:\Users\Administrator\faceswap\scripts\train.py", line 190, in process
    self._end_thread(thread, err)
  File "C:\Users\Administrator\faceswap\scripts\train.py", line 230, in _end_thread
    thread.join()
  File "C:\Users\Administrator\faceswap\lib\multithreading.py", line 121, in join
    raise thread.err[1].with_traceback(thread.err[2])
  File "C:\Users\Administrator\faceswap\lib\multithreading.py", line 37, in run
    self._target(*self._args, **self._kwargs)
  File "C:\Users\Administrator\faceswap\scripts\train.py", line 252, in _training
    raise err
  File "C:\Users\Administrator\faceswap\scripts\train.py", line 242, in _training
    self._run_training_cycle(model, trainer)
  File "C:\Users\Administrator\faceswap\scripts\train.py", line 327, in _run_training_cycle
    trainer.train_one_step(viewer, timelapse)
  File "C:\Users\Administrator\faceswap\plugins\train\trainer\_base.py", line 194, in train_one_step
    loss = self._model.model.train_on_batch(model_inputs, y=model_targets)
  File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py", line 1695, in train_on_batch
    logs = train_function(iterator)
  File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\eager\def_function.py", line 780, in __call__
    result = self._call(*args, **kwds)
  File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\eager\def_function.py", line 823, in _call
    self._initialize(args, kwds, add_initializers_to=initializers)
  File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\eager\def_function.py", line 696, in _initialize
    self._stateful_fn._get_concrete_function_internal_garbage_collected(  # pylint: disable=protected-access
  File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\eager\function.py", line 2855, in _get_concrete_function_internal_garbage_collected
    graph_function, _, _ = self._maybe_define_function(args, kwargs)
  File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\eager\function.py", line 3213, in _maybe_define_function
    graph_function = self._create_graph_function(args, kwargs)
  File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\eager\function.py", line 3065, in _create_graph_function
    func_graph_module.func_graph_from_py_func(
  File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\framework\func_graph.py", line 986, in func_graph_from_py_func
    func_outputs = python_func(*func_args, **func_kwargs)
  File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\eager\def_function.py", line 600, in wrapped_fn
    return weak_wrapped_fn().__wrapped__(*args, **kwds)
  File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\framework\func_graph.py", line 973, in wrapper
    raise e.ag_error_metadata.to_exception(e)
AttributeError: in user code:

D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:806 train_function  *
    return step_function(self, iterator)
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:796 step_function  **
    outputs = model.distribute_strategy.run(run_step, args=(data,))
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:1211 run
    return self._extended.call_for_each_replica(fn, args=args, kwargs=kwargs)
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:2585 call_for_each_replica
    return self._call_for_each_replica(fn, args, kwargs)
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:2945 _call_for_each_replica
    return fn(*args, **kwargs)
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:789 run_step  **
    outputs = model.train_step(data)
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:748 train_step
    loss = self.compiled_loss(
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\compile_utils.py:187 __call__
    self.build(y_pred)
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\compile_utils.py:140 build
    self._losses = nest.map_structure(self._get_loss_object, self._losses)
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\util\nest.py:635 map_structure
    structure[0], [func(*x) for x in entries],
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\util\nest.py:635 <listcomp>
    structure[0], [func(*x) for x in entries],
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\compile_utils.py:265 _get_loss_object
    loss_name = loss.__name__

AttributeError: 'LossWrapper' object has no attribute '__name__'


============ System Information ============
encoding:            cp936
git_branch:          master
git_commits:         a2b8e32 bugfix: distibuted training with dssim. f848e8a bugfix - typing for python < 3.9. 6437cd7 alignments tool - Add from-faces job   - Allows user to regenerate alignments file(s) from a folder of extracted faces. a9908b4 Alignments tool - Replace 'extract-large' with 'min-size'. c2595c4 bugfix - add missing mask key to alignments on legacy update
gpu_cuda:            11.1
gpu_cudnn:           No global version found. Check Conda packages for Conda cuDNN
gpu_devices:         GPU_0: NVIDIA GeForce RTX 2060
gpu_devices_active:  GPU_0
gpu_driver:          472.12
gpu_vram:            GPU_0: 6144MB
os_machine:          AMD64
os_platform:         Windows-10-10.0.19041-SP0
os_release:          10
py_command:          C:\Users\Administrator\faceswap\faceswap.py train -A D:/FACESWAP/zik/j2 -B D:/FACESWAP/zik/p2 -m D:/FACESWAP/zik/ModelAB -t original -bs 64 -it 1000000 -s 250 -ss 25000 -tia D:/FACESWAP/zik/j2 -tib D:/FACESWAP/zik/p2 -to D:/FACESWAP/zik/TimelapseAB -ps 100 -L INFO -gui
py_conda_version:    conda 4.10.1
py_implementation:   CPython
py_version:          3.8.8
py_virtual_env:      True
sys_cores:           16
sys_processor:       Intel64 Family 6 Model 165 Stepping 5, GenuineIntel
sys_ram:             Total: 16296MB, Available: 9951MB, Used: 6345MB, Free: 9951MB

=============== Pip Packages ===============
absl-py @ file:///C:/ci/absl-py_1615411229697/work
aiohttp @ file:///C:/ci/aiohttp_1614361024229/work
astunparse==1.6.3
async-timeout==3.0.1
attrs @ file:///tmp/build/80754af9/attrs_1604765588209/work
blinker==1.4
brotlipy==0.7.0
cachetools @ file:///tmp/build/80754af9/cachetools_1619597386817/work
certifi==2022.5.18.1
cffi @ file:///C:/ci/cffi_1613247279197/work
chardet @ file:///C:/ci/chardet_1605303225733/work
click @ file:///home/linux1/recipes/ci/click_1610990599742/work
colorama @ file:///tmp/build/80754af9/colorama_1607707115595/work
coverage @ file:///C:/ci/coverage_1614615074147/work
cryptography @ file:///C:/ci/cryptography_1616769344312/work
cycler==0.10.0
Cython @ file:///C:/ci/cython_1618435363327/work
fastcluster @ file:///D:/bld/fastcluster_1646149187286/work
ffmpy==0.2.3
fonttools==4.25.0
gast @ file:///tmp/build/80754af9/gast_1597433534803/work
google-auth @ file:///tmp/build/80754af9/google-auth_1619477128713/work
google-auth-oauthlib @ file:///tmp/build/80754af9/google-auth-oauthlib_1617120569401/work
google-pasta==0.2.0
grpcio @ file:///C:/ci/grpcio_1614884412260/work
h5py==2.10.0
idna @ file:///home/linux1/recipes/ci/idna_1610986105248/work
imageio @ file:///tmp/build/80754af9/imageio_1617700267927/work
imageio-ffmpeg @ file:///home/conda/feedstock_root/build_artifacts/imageio-ffmpeg_1649960641006/work
importlib-metadata @ file:///C:/ci/importlib-metadata_1617877484576/work
joblib @ file:///tmp/build/80754af9/joblib_1613502643832/work
Keras-Applications @ file:///tmp/build/80754af9/keras-applications_1594366238411/work
Keras-Preprocessing @ file:///tmp/build/80754af9/keras-preprocessing_1612283640596/work
kiwisolver @ file:///C:/ci/kiwisolver_1612282606037/work
Markdown @ file:///C:/ci/markdown_1614364121613/work
matplotlib @ file:///C:/ci/matplotlib-suite_1647423638658/work
mkl-fft==1.3.0
mkl-random==1.1.1
mkl-service==2.3.0
multidict @ file:///C:/ci/multidict_1607362065515/work
munkres==1.1.4
numpy @ file:///C:/ci/numpy_and_numpy_base_1603466732592/work
nvidia-ml-py==11.495.46
nvidia-ml-py3 @ git+https://github.com/deepfakes/nvidia-ml-py3.git@6fc29ac84b32bad877f078cb4a777c1548a00bf6
oauthlib==3.1.0
olefile==0.46
opencv-python==4.5.5.62
opt-einsum==3.1.0
packaging @ file:///tmp/build/80754af9/packaging_1637314298585/work
pathlib==1.0.1
Pillow @ file:///C:/ci/pillow_1625663293593/work
protobuf==3.14.0
psutil @ file:///C:/ci/psutil_1612298324802/work
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycparser @ file:///tmp/build/80754af9/pycparser_1594388511720/work
PyJWT==1.7.1
pyOpenSSL @ file:///tmp/build/80754af9/pyopenssl_1608057966937/work
pyparsing @ file:///home/linux1/recipes/ci/pyparsing_1610983426697/work
pyreadline==2.1
PySocks @ file:///C:/ci/pysocks_1605287845585/work
python-dateutil @ file:///home/ktietz/src/ci/python-dateutil_1611928101742/work
pywin32==228
requests @ file:///tmp/build/80754af9/requests_1608241421344/work
requests-oauthlib==1.3.0
rsa @ file:///tmp/build/80754af9/rsa_1614366226499/work
scikit-learn @ file:///C:/ci/scikit-learn_1642599125707/work
scipy @ file:///C:/ci/scipy_1616703433439/work
sip==4.19.13
six @ file:///C:/ci/six_1605187374963/work
tensorboard @ file:///home/builder/ktietz/aggregate/tensorflow_recipes/ci_te/tensorboard_1614593728657/work/tmp_pip_dir
tensorboard-plugin-wit==1.6.0
tensorflow==2.3.0
tensorflow-estimator @ file:///tmp/build/80754af9/tensorflow-estimator_1599136169057/work/whl_temp/tensorflow_estimator-2.3.0-py2.py3-none-any.whl
termcolor==1.1.0
threadpoolctl @ file:///tmp/tmp9twdgx9k/threadpoolctl-2.1.0-py3-none-any.whl
tornado @ file:///C:/ci/tornado_1606942392901/work
tqdm @ file:///C:/ci/tqdm_1650618053064/work
typing-extensions @ file:///tmp/build/80754af9/typing_extensions_1611751222202/work
urllib3 @ file:///tmp/build/80754af9/urllib3_1615837158687/work
Werkzeug @ file:///home/ktietz/src/ci/werkzeug_1611932622770/work
win-inet-pton @ file:///C:/ci/win_inet_pton_1605306167264/work
wincertstore==0.2
wrapt==1.12.1
yarl @ file:///C:/ci/yarl_1606940076464/work
zipp @ file:///tmp/build/80754af9/zipp_1615904174917/work

============== Conda Packages ==============
# packages in environment at D:\Anaconda\envs\faceswap:
#
# Name                    Version                   Build  Channel
_tflow_select             2.3.0                       gpu  
absl-py 0.12.0 py38haa95532_0
aiohttp 3.7.4 py38h2bbff1b_1
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zstd 1.4.9 h19a0ad4_0 ================= Configs ================== --------- .faceswap --------- backend: nvidia --------- convert.ini --------- [color.color_transfer] clip: True preserve_paper: True [color.manual_balance] colorspace: HSV balance_1: 0.0 balance_2: 0.0 balance_3: 0.0 contrast: 0.0 brightness: 0.0 [color.match_hist] threshold: 99.0 [mask.box_blend] type: gaussian distance: 11.0 radius: 5.0 passes: 1 [mask.mask_blend] type: normalized kernel_size: 3 passes: 4 threshold: 4 erosion: 0.0 [scaling.sharpen] method: none amount: 150 radius: 0.3 threshold: 5.0 [writer.ffmpeg] container: mp4 codec: libx264 crf: 23 preset: medium tune: none profile: auto level: auto skip_mux: False [writer.gif] fps: 25 loop: 0 palettesize: 256 subrectangles: False [writer.opencv] format: png draw_transparent: False jpg_quality: 75 png_compress_level: 3 [writer.pillow] format: png draw_transparent: False optimize: False gif_interlace: True jpg_quality: 75 png_compress_level: 3 tif_compression: tiff_deflate --------- extract.ini --------- [global] allow_growth: False [align.fan] batch-size: 12 [detect.cv2_dnn] confidence: 50 [detect.mtcnn] minsize: 20 scalefactor: 0.709 batch-size: 8 threshold_1: 0.6 threshold_2: 0.7 threshold_3: 0.7 [detect.s3fd] confidence: 70 batch-size: 4 [mask.bisenet_fp] batch-size: 8 weights: faceswap include_ears: False include_hair: False include_glasses: True [mask.unet_dfl] batch-size: 8 [mask.vgg_clear] batch-size: 6 [mask.vgg_obstructed] batch-size: 2 --------- gui.ini --------- [global] fullscreen: False tab: extract options_panel_width: 30 console_panel_height: 20 icon_size: 14 font: default font_size: 9 autosave_last_session: prompt timeout: 120 auto_load_model_stats: True --------- train.ini --------- [global] centering: face coverage: 68.75 icnr_init: False conv_aware_init: False optimizer: adam learning_rate: 5e-05 epsilon_exponent: -7 reflect_padding: False allow_growth: False mixed_precision: False nan_protection: True convert_batchsize: 16 [global.loss] loss_function: ssim mask_loss_function: mse l2_reg_term: 100 eye_multiplier: 3 mouth_multiplier: 2 penalized_mask_loss: True mask_type: extended mask_blur_kernel: 3 mask_threshold: 4 learn_mask: False [model.dfaker] output_size: 128 [model.dfl_h128] lowmem: False [model.dfl_sae] input_size: 128 clipnorm: True architecture: df autoencoder_dims: 0 encoder_dims: 42 decoder_dims: 21 multiscale_decoder: False [model.dlight] features: best details: good output_size: 256 [model.original] lowmem: False [model.phaze_a] output_size: 128 shared_fc: none enable_gblock: True split_fc: True split_gblock: False split_decoders: False enc_architecture: fs_original enc_scaling: 40 enc_load_weights: True bottleneck_type: dense bottleneck_norm: none bottleneck_size: 1024 bottleneck_in_encoder: True fc_depth: 1 fc_min_filters: 1024 fc_max_filters: 1024 fc_dimensions: 4 fc_filter_slope: -0.5 fc_dropout: 0.0 fc_upsampler: upsample2d fc_upsamples: 1 fc_upsample_filters: 512 fc_gblock_depth: 3 fc_gblock_min_nodes: 512 fc_gblock_max_nodes: 512 fc_gblock_filter_slope: -0.5 fc_gblock_dropout: 0.0 dec_upscale_method: subpixel dec_norm: none dec_min_filters: 64 dec_max_filters: 512 dec_filter_slope: -0.45 dec_res_blocks: 1 dec_output_kernel: 5 dec_gaussian: True dec_skip_last_residual: True freeze_layers: keras_encoder load_layers: encoder fs_original_depth: 4 fs_original_min_filters: 128 fs_original_max_filters: 1024 mobilenet_width: 1.0 mobilenet_depth: 1 mobilenet_dropout: 0.001 mobilenet_minimalistic: False [model.realface] input_size: 64 output_size: 128 dense_nodes: 1536 complexity_encoder: 128 complexity_decoder: 512 [model.unbalanced] input_size: 128 lowmem: False clipnorm: True nodes: 1024 complexity_encoder: 128 complexity_decoder_a: 384 complexity_decoder_b: 512 [model.villain] lowmem: False preview_images: 14 zoom_amount: 5 rotation_range: 10 shift_range: 5 flip_chance: 50 color_lightness: 30 color_ab: 8 color_clahe_chance: 50 color_clahe_max_size: 4
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torzdf
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Re: training error: AttributeError: 'LossWrapper' object has no attribute '__name__'

Post by torzdf »

Ok, you have quite an old version of Tensorflow installed. I will need to see if I need to bump requirements.

However, in the meantime, please:

This should fix your issue

My word is final

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