TypeError: __init__() got an unexpected keyword argument 'ragged'

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tmp888
Posts: 2
Joined: Wed Dec 16, 2020 7:01 am

TypeError: __init__() got an unexpected keyword argument 'ragged'

Post by tmp888 »

Hi,
I keep getting this error when trying to do a convert.
I've trained a model and everything seems ready for a conversion, but when I initialized a convert I get "CRITICAL An unexpected crash has occurred"

Covert
-Target video is selected
-Alignement file created just for that target, is selected
-Trained model directory is selected
Crash.

Also get the same error using extracted images with a correspondeing alignment file instead of a target video.
Also get the same error trying to use the preview function in tools.

Am I doing something wrong? TIA

Crash Report Log

Code: Select all

12/16/2020 17:00:59 MainProcess     MainThread      config          add_item                  DEBUG    Add item: (section: 'model.dfl_sae', title: 'encoder_dims', datatype: '<class 'int'>', default: '42', info: 'Encoder dimensions per channel. Higher number of encoder dimensions will help the model to recognize more facial features, but will require more VRAM.', rounding: '1', min_max: (21, 85), choices: None, gui_radio: False, fixed: True, group: network)
12/16/2020 17:00:59 MainProcess     MainThread      config          add_item                  DEBUG    Add item: (section: 'model.dfl_sae', title: 'decoder_dims', datatype: '<class 'int'>', default: '21', info: 'Decoder dimensions per channel. Higher number of decoder dimensions will help the model to improve details, but will require more VRAM.', rounding: '1', min_max: (10, 85), choices: None, gui_radio: False, fixed: True, group: network)
12/16/2020 17:00:59 MainProcess     MainThread      config          add_item                  DEBUG    Add item: (section: 'model.dfl_sae', title: 'multiscale_decoder', datatype: '<class 'bool'>', default: 'False', info: 'Multiscale decoder can help to obtain better details.', rounding: 'None', min_max: None, choices: None, gui_radio: False, fixed: True, group: network)
12/16/2020 17:00:59 MainProcess     MainThread      _config         load_module               DEBUG    Added defaults: model.dfl_sae
12/16/2020 17:00:59 MainProcess     MainThread      _config         load_module               DEBUG    Adding defaults: (filename: dlight_defaults.py, module_path: plugins.train.model, plugin_type: model
12/16/2020 17:00:59 MainProcess     MainThread      _config         load_module               DEBUG    Importing defaults module: plugins.train.model.dlight_defaults
12/16/2020 17:00:59 MainProcess     MainThread      config          add_section               DEBUG    Add section: (title: 'model.dlight', info: 'A lightweight, high resolution Dfaker variant (Adapted from https://github.com/dfaker/df)\nNB: Unless specifically stated, values changed here will only take effect when creating a new model.')
12/16/2020 17:00:59 MainProcess     MainThread      config          add_item                  DEBUG    Add item: (section: 'model.dlight', title: 'features', datatype: '<class 'str'>', default: 'best', info: 'Higher settings will allow learning more features such as tatoos, piercing,\nand wrinkles.\nStrongly affects VRAM usage.', rounding: 'None', min_max: None, choices: ['lowmem', 'fair', 'best'], gui_radio: True, fixed: True, group: None)
12/16/2020 17:00:59 MainProcess     MainThread      config          add_item                  DEBUG    Add item: (section: 'model.dlight', title: 'details', datatype: '<class 'str'>', default: 'good', info: 'Defines detail fidelity. Lower setting can appear 'rugged' while 'good' might take onger time to train.\nAffects VRAM usage.', rounding: 'None', min_max: None, choices: ['fast', 'good'], gui_radio: True, fixed: True, group: None)
12/16/2020 17:00:59 MainProcess     MainThread      config          add_item                  DEBUG    Add item: (section: 'model.dlight', title: 'output_size', datatype: '<class 'int'>', default: '256', info: 'Output image resolution (in pixels).\nBe aware that larger resolution will increase VRAM requirements.\nNB: Must be either 128, 256, or 384.', rounding: '128', min_max: (128, 384), choices: [], gui_radio: False, fixed: True, group: None)
12/16/2020 17:00:59 MainProcess     MainThread      _config         load_module               DEBUG    Added defaults: model.dlight
12/16/2020 17:00:59 MainProcess     MainThread      _config         load_module               DEBUG    Adding defaults: (filename: original_defaults.py, module_path: plugins.train.model, plugin_type: model
12/16/2020 17:00:59 MainProcess     MainThread      _config         load_module               DEBUG    Importing defaults module: plugins.train.model.original_defaults
12/16/2020 17:00:59 MainProcess     MainThread      config          add_section               DEBUG    Add section: (title: 'model.original', info: 'Original Faceswap Model.\nNB: Unless specifically stated, values changed here will only take effect when creating a new model.')
12/16/2020 17:00:59 MainProcess     MainThread      config          add_item                  DEBUG    Add item: (section: 'model.original', title: 'lowmem', datatype: '<class 'bool'>', default: 'False', info: 'Lower memory mode. Set to 'True' if having issues with VRAM useage.\nNB: Models with a changed lowmem mode are not compatible with each other.', rounding: 'None', min_max: None, choices: [], gui_radio: False, fixed: True, group: settings)
12/16/2020 17:00:59 MainProcess     MainThread      _config         load_module               DEBUG    Added defaults: model.original
12/16/2020 17:00:59 MainProcess     MainThread      _config         load_module               DEBUG    Adding defaults: (filename: realface_defaults.py, module_path: plugins.train.model, plugin_type: model
12/16/2020 17:00:59 MainProcess     MainThread      _config         load_module               DEBUG    Importing defaults module: plugins.train.model.realface_defaults
12/16/2020 17:00:59 MainProcess     MainThread      config          add_section               DEBUG    Add section: (title: 'model.realface', info: 'An extra detailed variant of Original model.\nIncorporates ideas from Bryanlyon and inspiration from the Villain model.\nRequires about 6GB-8GB of VRAM (batchsize 8-16).\n\nNB: Unless specifically stated, values changed here will only take effect when creating a new model.')
12/16/2020 17:00:59 MainProcess     MainThread      config          add_item                  DEBUG    Add item: (section: 'model.realface', title: 'input_size', datatype: '<class 'int'>', default: '64', info: 'Resolution (in pixels) of the input image to train on.\nBE AWARE Larger resolution will dramatically increase VRAM requirements.\nHigher resolutions may increase prediction accuracy, but does not effect the resulting output size.\nMust be between 64 and 128 and be divisible by 16.', rounding: '16', min_max: (64, 128), choices: [], gui_radio: False, fixed: True, group: size)
12/16/2020 17:00:59 MainProcess     MainThread      config          add_item                  DEBUG    Add item: (section: 'model.realface', title: 'output_size', datatype: '<class 'int'>', default: '128', info: 'Output image resolution (in pixels).\nBe aware that larger resolution will increase VRAM requirements.\nNB: Must be between 64 and 256 and be divisible by 16.', rounding: '16', min_max: (64, 256), choices: [], gui_radio: False, fixed: True, group: size)
12/16/2020 17:00:59 MainProcess     MainThread      config          add_item                  DEBUG    Add item: (section: 'model.realface', title: 'dense_nodes', datatype: '<class 'int'>', default: '1536', info: 'Number of nodes for decoder. Might affect your model's ability to learn in general.\nNote that: Lower values will affect the ability to predict details.', rounding: '64', min_max: (768, 2048), choices: [], gui_radio: False, fixed: True, group: network)
12/16/2020 17:00:59 MainProcess     MainThread      config          add_item                  DEBUG    Add item: (section: 'model.realface', title: 'complexity_encoder', datatype: '<class 'int'>', default: '128', info: 'Encoder Convolution Layer Complexity. sensible ranges: 128 to 150.', rounding: '4', min_max: (96, 160), choices: [], gui_radio: False, fixed: True, group: network)
12/16/2020 17:00:59 MainProcess     MainThread      config          add_item                  DEBUG    Add item: (section: 'model.realface', title: 'complexity_decoder', datatype: '<class 'int'>', default: '512', info: 'Decoder Complexity.', rounding: '4', min_max: (512, 544), choices: [], gui_radio: False, fixed: True, group: network)
12/16/2020 17:00:59 MainProcess     MainThread      _config         load_module               DEBUG    Added defaults: model.realface
12/16/2020 17:00:59 MainProcess     MainThread      _config         load_module               DEBUG    Adding defaults: (filename: unbalanced_defaults.py, module_path: plugins.train.model, plugin_type: model
12/16/2020 17:00:59 MainProcess     MainThread      _config         load_module               DEBUG    Importing defaults module: plugins.train.model.unbalanced_defaults
12/16/2020 17:00:59 MainProcess     MainThread      config          add_section               DEBUG    Add section: (title: 'model.unbalanced', info: 'An unbalanced model with adjustable input size options.\nThis is an unbalanced model so b>a swaps may not work well\n\nNB: Unless specifically stated, values changed here will only take effect when creating a new model.')
12/16/2020 17:00:59 MainProcess     MainThread      config          add_item                  DEBUG    Add item: (section: 'model.unbalanced', title: 'input_size', datatype: '<class 'int'>', default: '128', info: 'Resolution (in pixels) of the image to train on.\nBE AWARE Larger resolution will dramatically increaseVRAM requirements.\nMake sure your resolution is divisible by 64 (e.g. 64, 128, 256 etc.).\nNB: Your faceset must be at least 1.6x larger than your required input size.\n(e.g. 160 is the maximum input size for a 256x256 faceset).', rounding: '64', min_max: (64, 512), choices: [], gui_radio: False, fixed: True, group: size)
12/16/2020 17:00:59 MainProcess     MainThread      config          add_item                  DEBUG    Add item: (section: 'model.unbalanced', title: 'lowmem', datatype: '<class 'bool'>', default: 'False', info: 'Lower memory mode. Set to 'True' if having issues with VRAM useage.\nNB: Models with a changed lowmem mode are not compatible with each other.\nNB: lowmem will override cutom nodes and complexity settings.', rounding: 'None', min_max: None, choices: [], gui_radio: False, fixed: True, group: settings)
12/16/2020 17:00:59 MainProcess     MainThread      config          add_item                  DEBUG    Add item: (section: 'model.unbalanced', title: 'clipnorm', datatype: '<class 'bool'>', default: 'True', info: 'Controls gradient clipping of the optimizer. Can prevent model corruption at the expense of VRAM.', rounding: 'None', min_max: None, choices: [], gui_radio: False, fixed: True, group: settings)
12/16/2020 17:00:59 MainProcess     MainThread      config          add_item                  DEBUG    Add item: (section: 'model.unbalanced', title: 'nodes', datatype: '<class 'int'>', default: '1024', info: 'Number of nodes for decoder. Don't change this unless you know what you are doing!', rounding: '64', min_max: (512, 4096), choices: [], gui_radio: False, fixed: True, group: network)
12/16/2020 17:00:59 MainProcess     MainThread      config          add_item                  DEBUG    Add item: (section: 'model.unbalanced', title: 'complexity_encoder', datatype: '<class 'int'>', default: '128', info: 'Encoder Convolution Layer Complexity. sensible ranges: 128 to 160.', rounding: '16', min_max: (64, 1024), choices: [], gui_radio: False, fixed: True, group: network)
12/16/2020 17:00:59 MainProcess     MainThread      config          add_item                  DEBUG    Add item: (section: 'model.unbalanced', title: 'complexity_decoder_a', datatype: '<class 'int'>', default: '384', info: 'Decoder A Complexity.', rounding: '16', min_max: (64, 1024), choices: [], gui_radio: False, fixed: True, group: network)
12/16/2020 17:00:59 MainProcess     MainThread      config          add_item                  DEBUG    Add item: (section: 'model.unbalanced', title: 'complexity_decoder_b', datatype: '<class 'int'>', default: '512', info: 'Decoder B Complexity.', rounding: '16', min_max: (64, 1024), choices: [], gui_radio: False, fixed: True, group: network)
12/16/2020 17:00:59 MainProcess     MainThread      _config         load_module               DEBUG    Added defaults: model.unbalanced
12/16/2020 17:00:59 MainProcess     MainThread      _config         load_module               DEBUG    Adding defaults: (filename: villain_defaults.py, module_path: plugins.train.model, plugin_type: model
12/16/2020 17:00:59 MainProcess     MainThread      _config         load_module               DEBUG    Importing defaults module: plugins.train.model.villain_defaults
12/16/2020 17:00:59 MainProcess     MainThread      config          add_section               DEBUG    Add section: (title: 'model.villain', info: 'A Higher resolution version of the Original Model by VillainGuy.\nExtremely VRAM heavy. Don't try to run this if you have a small GPU.\n\nNB: Unless specifically stated, values changed here will only take effect when creating a new model.')
12/16/2020 17:00:59 MainProcess     MainThread      config          add_item                  DEBUG    Add item: (section: 'model.villain', title: 'lowmem', datatype: '<class 'bool'>', default: 'False', info: 'Lower memory mode. Set to 'True' if having issues with VRAM useage.\nNB: Models with a changed lowmem mode are not compatible with each other.', rounding: 'None', min_max: None, choices: [], gui_radio: False, fixed: True, group: settings)
12/16/2020 17:00:59 MainProcess     MainThread      _config         load_module               DEBUG    Added defaults: model.villain
12/16/2020 17:00:59 MainProcess     MainThread      _config         load_module               DEBUG    Adding defaults: (filename: original_defaults.py, module_path: plugins.train.trainer, plugin_type: trainer
12/16/2020 17:00:59 MainProcess     MainThread      _config         load_module               DEBUG    Importing defaults module: plugins.train.trainer.original_defaults
12/16/2020 17:00:59 MainProcess     MainThread      config          add_section               DEBUG    Add section: (title: 'trainer.original', info: 'Original Trainer Options.\nWARNING: The defaults for augmentation will be fine for 99.9% of use cases. Only change them if you absolutely know what you are doing!')
12/16/2020 17:00:59 MainProcess     MainThread      config          add_item                  DEBUG    Add item: (section: 'trainer.original', title: 'preview_images', datatype: '<class 'int'>', default: '14', info: 'Number of sample faces to display for each side in the preview when training.', rounding: '2', min_max: (2, 16), choices: None, gui_radio: False, fixed: True, group: evaluation)
12/16/2020 17:00:59 MainProcess     MainThread      config          add_item                  DEBUG    Add item: (section: 'trainer.original', title: 'zoom_amount', datatype: '<class 'int'>', default: '5', info: 'Percentage amount to randomly zoom each training image in and out.', rounding: '1', min_max: (0, 25), choices: None, gui_radio: False, fixed: True, group: image augmentation)
12/16/2020 17:00:59 MainProcess     MainThread      config          add_item                  DEBUG    Add item: (section: 'trainer.original', title: 'rotation_range', datatype: '<class 'int'>', default: '10', info: 'Percentage amount to randomly rotate each training image.', rounding: '1', min_max: (0, 25), choices: None, gui_radio: False, fixed: True, group: image augmentation)
12/16/2020 17:00:59 MainProcess     MainThread      config          add_item                  DEBUG    Add item: (section: 'trainer.original', title: 'shift_range', datatype: '<class 'int'>', default: '5', info: 'Percentage amount to randomly shift each training image horizontally and vertically.', rounding: '1', min_max: (0, 25), choices: None, gui_radio: False, fixed: True, group: image augmentation)
12/16/2020 17:00:59 MainProcess     MainThread      config          add_item                  DEBUG    Add item: (section: 'trainer.original', title: 'flip_chance', datatype: '<class 'int'>', default: '50', info: 'Percentage chance to randomly flip each training image horizontally.\nNB: This is ignored if the 'no-flip' option is enabled', rounding: '1', min_max: (0, 75), choices: None, gui_radio: False, fixed: True, group: image augmentation)
12/16/2020 17:00:59 MainProcess     MainThread      config          add_item                  DEBUG    Add item: (section: 'trainer.original', title: 'disable_warp', datatype: '<class 'bool'>', default: 'False', info: 'Disable warp augmentation. Warping is integral to the Neural Network training. If you decide to disable warping, you should only do so towards the end of a model's training session.', rounding: 'None', min_max: None, choices: None, gui_radio: False, fixed: False, group: image augmentation)
12/16/2020 17:00:59 MainProcess     MainThread      config          add_item                  DEBUG    Add item: (section: 'trainer.original', title: 'color_lightness', datatype: '<class 'int'>', default: '30', info: 'Percentage amount to randomly alter the lightness of each training image.\nNB: This is ignored if the 'no-flip' option is enabled', rounding: '1', min_max: (0, 75), choices: None, gui_radio: False, fixed: True, group: color augmentation)
12/16/2020 17:00:59 MainProcess     MainThread      config          add_item                  DEBUG    Add item: (section: 'trainer.original', title: 'color_ab', datatype: '<class 'int'>', default: '8', info: 'Percentage amount to randomly alter the 'a' and 'b' colors of the L*a*b* color space of each training image.\nNB: This is ignored if the 'no-flip' option is enabled', rounding: '1', min_max: (0, 50), choices: None, gui_radio: False, fixed: True, group: color augmentation)
12/16/2020 17:00:59 MainProcess     MainThread      config          add_item                  DEBUG    Add item: (section: 'trainer.original', title: 'color_clahe_chance', datatype: '<class 'int'>', default: '50', info: 'Percentage chance to perform Contrast Limited Adaptive Histogram Equalization on each training image.\nNB: This is ignored if the 'no-augment-color' option is enabled', rounding: '1', min_max: (0, 75), choices: None, gui_radio: False, fixed: False, group: color augmentation)
12/16/2020 17:00:59 MainProcess     MainThread      config          add_item                  DEBUG    Add item: (section: 'trainer.original', title: 'color_clahe_max_size', datatype: '<class 'int'>', default: '4', info: 'The grid size dictates how much Contrast Limited Adaptive Histogram Equalization is performed on any training image selected for clahe. Contrast will be applied randomly with a gridsize of 0 up to the maximum. This value is a multiplier calculated from the training image size.\nNB: This is ignored if the 'no-augment-color' option is enabled', rounding: '1', min_max: (1, 8), choices: None, gui_radio: False, fixed: True, group: color augmentation)
12/16/2020 17:00:59 MainProcess     MainThread      _config         load_module               DEBUG    Added defaults: trainer.original
12/16/2020 17:00:59 MainProcess     MainThread      config          handle_config             DEBUG    Handling config
12/16/2020 17:00:59 MainProcess     MainThread      config          check_exists              DEBUG    Config file exists: 'C:\Users\clano\faceswap\config\train.ini'
12/16/2020 17:00:59 MainProcess     MainThread      config          load_config               VERBOSE  Loading config: 'C:\Users\clano\faceswap\config\train.ini'
12/16/2020 17:00:59 MainProcess     MainThread      config          validate_config           DEBUG    Validating config
12/16/2020 17:00:59 MainProcess     MainThread      config          check_config_change       DEBUG    Default config has not changed
12/16/2020 17:00:59 MainProcess     MainThread      config          check_config_choices      DEBUG    Checking config choices
12/16/2020 17:00:59 MainProcess     MainThread      config          check_config_choices      DEBUG    Checked config choices
12/16/2020 17:00:59 MainProcess     MainThread      config          validate_config           DEBUG    Validated config
12/16/2020 17:00:59 MainProcess     MainThread      config          handle_config             DEBUG    Handled config
12/16/2020 17:00:59 MainProcess     MainThread      config          __init__                  DEBUG    Initialized: Config
12/16/2020 17:00:59 MainProcess     MainThread      config          get                       DEBUG    Getting config item: (section: 'global', option: 'learning_rate')
12/16/2020 17:00:59 MainProcess     MainThread      config          get                       DEBUG    Returning item: (type: <class 'float'>, value: 5e-05)
12/16/2020 17:00:59 MainProcess     MainThread      config          get                       DEBUG    Getting config item: (section: 'global', option: 'allow_growth')
12/16/2020 17:00:59 MainProcess     MainThread      config          get                       DEBUG    Returning item: (type: <class 'bool'>, value: False)
12/16/2020 17:00:59 MainProcess     MainThread      config          get                       DEBUG    Getting config item: (section: 'global', option: 'convert_batchsize')
12/16/2020 17:00:59 MainProcess     MainThread      config          get                       DEBUG    Returning item: (type: <class 'int'>, value: 16)
12/16/2020 17:00:59 MainProcess     MainThread      config          changeable_items          DEBUG    Alterable for existing models: {'learning_rate': 5e-05, 'allow_growth': False, 'convert_batchsize': 16}
12/16/2020 17:00:59 MainProcess     MainThread      _base           __init__                  DEBUG    Initializing State: (model_dir: 'D:\Desktop\New folder (2)\Faceswap 2\ModelAB', model_name: 'original', config_changeable_items: '{'learning_rate': 5e-05, 'allow_growth': False, 'convert_batchsize': 16}', no_logs: False, training_image_size: '256'
12/16/2020 17:00:59 MainProcess     MainThread      serializer      get_serializer            DEBUG    <lib.serializer._JSONSerializer object at 0x0000025537355E50>
12/16/2020 17:00:59 MainProcess     MainThread      _base           _load                     DEBUG    Loading State
12/16/2020 17:00:59 MainProcess     MainThread      serializer      load                      DEBUG    filename: D:\Desktop\New folder (2)\Faceswap 2\ModelAB\original_state.json
12/16/2020 17:00:59 MainProcess     MainThread      serializer      load                      DEBUG    stored data type: <class 'bytes'>
12/16/2020 17:00:59 MainProcess     MainThread      serializer      unmarshal                 DEBUG    data type: <class 'bytes'>
12/16/2020 17:00:59 MainProcess     MainThread      serializer      unmarshal                 DEBUG    returned data type: <class 'dict'>
12/16/2020 17:00:59 MainProcess     MainThread      serializer      load                      DEBUG    data type: <class 'dict'>
12/16/2020 17:00:59 MainProcess     MainThread      _base           _load                     DEBUG    Loaded state: {'name': 'original', 'sessions': {'1': {'timestamp': 1608043835.2072837, 'no_logs': False, 'loss_names': ['total', 'face_a', 'face_b'], 'batchsize': 16, 'iterations': 107, 'config': {'learning_rate': 5e-05, 'allow_growth': False, 'convert_batchsize': 16}}}, 'lowest_avg_loss': {'a': 0.2235737937801289, 'b': 0.20095931963538224}, 'iterations': 107, 'training_size': 256, 'config': {'coverage': 68.75, 'optimizer': 'adam', 'learning_rate': 5e-05, 'allow_growth': False, 'mixed_precision': False, '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, 'lowmem': False}}
12/16/2020 17:00:59 MainProcess     MainThread      _base           _update_legacy_config     DEBUG    Checking for legacy state file update
12/16/2020 17:00:59 MainProcess     MainThread      _base           _update_legacy_config     DEBUG    Legacy item 'dssim_loss' not in config. Skipping update
12/16/2020 17:00:59 MainProcess     MainThread      _base           _update_legacy_config     DEBUG    State file updated for legacy config: False
12/16/2020 17:00:59 MainProcess     MainThread      _base           _replace_config           DEBUG    Replacing config. Old config: {'coverage': 68.75, 'optimizer': 'adam', 'learning_rate': 5e-05, 'allow_growth': False, 'mixed_precision': False, '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, 'lowmem': False}
12/16/2020 17:00:59 MainProcess     MainThread      _base           _replace_config           DEBUG    Replaced config. New config: {'coverage': 68.75, 'optimizer': 'adam', 'learning_rate': 5e-05, 'allow_growth': False, 'mixed_precision': False, '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, 'lowmem': False}
12/16/2020 17:00:59 MainProcess     MainThread      _base           _replace_config           INFO     Using configuration saved in state file
12/16/2020 17:00:59 MainProcess     MainThread      _base           _new_session_id           DEBUG    2
12/16/2020 17:00:59 MainProcess     MainThread      _base           _create_new_session       DEBUG    Creating new session. id: 2
12/16/2020 17:00:59 MainProcess     MainThread      _base           __init__                  DEBUG    Initialized State:
12/16/2020 17:00:59 MainProcess     MainThread      _base           __init__                  DEBUG    Initializing _Settings: (arguments: Namespace(alignments_path=None, colab=False, color_adjustment='avg-color', configfile=None, distributed=False, exclude_gpus=None, filter=None, frame_ranges=None, func=<bound method ScriptExecutor.execute_script of <lib.cli.launcher.ScriptExecutor object at 0x00000255190B1D00>>, input_aligned_dir=None, input_dir='D:\\Desktop\\New folder (2)\\Faceswap 2\\Target A.mp4', jobs=0, keep_unchanged=False, logfile=None, loglevel='INFO', mask_type='extended', model_dir='D:\\Desktop\\New folder (2)\\Faceswap 2\\ModelAB', nfilter=None, on_the_fly=True, output_dir='D:\\Desktop\\New folder (2)\\Faceswap 2', output_scale=100, redirect_gui=True, ref_threshold=0.4, reference_video=None, singleprocess=False, swap_model=False, trainer=None, writer='ffmpeg'), mixed_precision: False, allow_growth: False, is_predict: True)
12/16/2020 17:00:59 MainProcess     MainThread      _base           _set_keras_mixed_precision DEBUG    use_mixed_precision: False, skip_check: False
12/16/2020 17:00:59 MainProcess     MainThread      _base           _set_keras_mixed_precision DEBUG    Not enabling 'mixed_precision' (backend: amd, use_mixed_precision: False)
12/16/2020 17:00:59 MainProcess     MainThread      _base           _get_strategy             DEBUG    Using strategy: None
12/16/2020 17:00:59 MainProcess     MainThread      _base           __init__                  DEBUG    Initialized _Settings
12/16/2020 17:00:59 MainProcess     MainThread      _base           __init__                  DEBUG    Initializing _Loss
12/16/2020 17:00:59 MainProcess     MainThread      _base           __init__                  DEBUG    Initialized: _Loss
12/16/2020 17:00:59 MainProcess     MainThread      _base           __init__                  DEBUG    Initialized ModelBase (Model)
12/16/2020 17:00:59 MainProcess     MainThread      _base           strategy_scope            DEBUG    Using strategy scope: <contextlib.nullcontext object at 0x0000025537355C10>
12/16/2020 17:00:59 MainProcess     MainThread      _base           _load                     DEBUG    Loading model: D:\Desktop\New folder (2)\Faceswap 2\ModelAB\original.h5
Traceback (most recent call last):
  File "C:\Users\clano\faceswap\lib\cli\launcher.py", line 181, in execute_script
    process = script(arguments)
  File "C:\Users\clano\faceswap\scripts\convert.py", line 60, in __init__
    self._predictor = Predict(self._disk_io.load_queue, self._queue_size, arguments)
  File "C:\Users\clano\faceswap\scripts\convert.py", line 655, in __init__
    self._model = self._load_model()
  File "C:\Users\clano\faceswap\scripts\convert.py", line 734, in _load_model
    model.build()
  File "C:\Users\clano\faceswap\plugins\train\model\_base.py", line 260, in build
    model = self._io._load()  # pylint:disable=protected-access
  File "C:\Users\clano\faceswap\plugins\train\model\_base.py", line 521, in _load
    model = load_model(self._filename, compile=False)
  File "C:\Users\clano\MiniConda3\envs\faceswap\lib\site-packages\keras\engine\saving.py", line 419, in load_model
    model = _deserialize_model(f, custom_objects, compile)
  File "C:\Users\clano\MiniConda3\envs\faceswap\lib\site-packages\keras\engine\saving.py", line 225, in _deserialize_model
    model = model_from_config(model_config, custom_objects=custom_objects)
  File "C:\Users\clano\MiniConda3\envs\faceswap\lib\site-packages\keras\engine\saving.py", line 458, in model_from_config
    return deserialize(config, custom_objects=custom_objects)
  File "C:\Users\clano\MiniConda3\envs\faceswap\lib\site-packages\keras\layers\__init__.py", line 52, in deserialize
    return deserialize_keras_object(config,
  File "C:\Users\clano\MiniConda3\envs\faceswap\lib\site-packages\keras\utils\generic_utils.py", line 142, in deserialize_keras_object
    return cls.from_config(
  File "C:\Users\clano\MiniConda3\envs\faceswap\lib\site-packages\keras\engine\network.py", line 1022, in from_config
    process_layer(layer_data)
  File "C:\Users\clano\MiniConda3\envs\faceswap\lib\site-packages\keras\engine\network.py", line 1007, in process_layer
    layer = deserialize_layer(layer_data,
  File "C:\Users\clano\MiniConda3\envs\faceswap\lib\site-packages\keras\layers\__init__.py", line 52, in deserialize
    return deserialize_keras_object(config,
  File "C:\Users\clano\MiniConda3\envs\faceswap\lib\site-packages\keras\utils\generic_utils.py", line 147, in deserialize_keras_object
    return cls.from_config(config['config'])
  File "C:\Users\clano\MiniConda3\envs\faceswap\lib\site-packages\keras\engine\base_layer.py", line 1109, in from_config
    return cls(**config)
  File "C:\Users\clano\MiniConda3\envs\faceswap\lib\site-packages\keras\legacy\interfaces.py", line 91, in wrapper
    return func(*args, **kwargs)
TypeError: __init__() got an unexpected keyword argument 'ragged'

============ System Information ============
encoding:            cp1252
git_branch:          Not Found
git_commits:         Not Found
gpu_cuda:            No global version found. Check Conda packages for Conda Cuda
gpu_cudnn:           No global version found. Check Conda packages for Conda cuDNN
gpu_devices:         GPU_0: Advanced Micro Devices, Inc. - Ellesmere (experimental), GPU_1: Advanced Micro Devices, Inc. - Ellesmere (supported)
gpu_devices_active:  GPU_0, GPU_1
gpu_driver:          ['3110.7', '3110.7']
gpu_vram:            GPU_0: 4096MB, GPU_1: 4096MB
os_machine:          AMD64
os_platform:         Windows-10-10.0.18362-SP0
os_release:          10
py_command:          C:\Users\clano\faceswap\faceswap.py convert -i D:/Desktop/New folder (2)/Faceswap 2/Target A.mp4 -o D:/Desktop/New folder (2)/Faceswap 2 -m D:/Desktop/New folder (2)/Faceswap 2/ModelAB -c avg-color -M extended -w ffmpeg -osc 100 -l 0.4 -j 0 -otf -L INFO -gui
py_conda_version:    conda 4.9.2
py_implementation:   CPython
py_version:          3.8.5
py_virtual_env:      True
sys_cores:           16
sys_processor:       AMD64 Family 23 Model 113 Stepping 0, AuthenticAMD
sys_ram:             Total: 32699MB, Available: 16669MB, Used: 16029MB, Free: 16669MB

=============== Pip Packages ===============
absl-py==0.11.0
astunparse==1.6.3
cachetools==4.2.0
certifi==2020.12.5
cffi==1.14.4
chardet==3.0.4
cycler==0.10.0
enum34==1.1.10
fastcluster==1.1.26
ffmpy==0.2.3
gast==0.3.3
google-auth==1.24.0
google-auth-oauthlib==0.4.2
google-pasta==0.2.0
grpcio==1.34.0
h5py==2.10.0
idna==2.10
imageio @ file:///tmp/build/80754af9/imageio_1594161405741/work
imageio-ffmpeg @ file:///home/conda/feedstock_root/build_artifacts/imageio-ffmpeg_1589202782679/work
joblib @ file:///tmp/build/80754af9/joblib_1607970656719/work
Keras==2.2.4
Keras-Applications==1.0.8
Keras-Preprocessing==1.1.2
kiwisolver @ file:///C:/ci/kiwisolver_1604014703538/work
Markdown==3.3.3
matplotlib @ file:///C:/ci/matplotlib-base_1592837548929/work
mkl-fft==1.2.0
mkl-random==1.1.1
mkl-service==2.3.0
numpy==1.18.5
nvidia-ml-py3 @ git+https://github.com/deepfakes/nvidia-ml-py3.git@6fc29ac84b32bad877f078cb4a777c1548a00bf6
oauthlib==3.1.0
olefile==0.46
opencv-python==4.4.0.46
opt-einsum==3.3.0
pathlib==1.0.1
Pillow @ file:///C:/ci/pillow_1603823068645/work
plaidml==0.7.0
plaidml-keras==0.7.0
protobuf==3.14.0
psutil @ file:///C:/ci/psutil_1598370330503/work
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycparser==2.20
pyparsing==2.4.7
python-dateutil==2.8.1
pywin32==227
PyYAML==5.3.1
requests==2.25.0
requests-oauthlib==1.3.0
rsa==4.6
scikit-learn @ file:///C:/ci/scikit-learn_1598377018496/work
scipy @ file:///C:/ci/scipy_1604596260408/work
sip==4.19.13
six @ file:///C:/ci/six_1605187374963/work
tensorboard==2.2.2
tensorboard-plugin-wit==1.7.0
tensorflow==2.2.1
tensorflow-estimator==2.2.0
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:///tmp/build/80754af9/tqdm_1607369919789/work
urllib3==1.26.2
Werkzeug==1.0.1
wincertstore==0.2
wrapt==1.12.1

============== Conda Packages ==============
# packages in environment at C:\Users\clano\MiniConda3\envs\faceswap:
#
# Name                    Version                   Build  Channel
absl-py                   0.11.0                   pypi_0    pypi
astunparse                1.6.3                    pypi_0    pypi
blas                      1.0                         mkl  
ca-certificates           2020.12.8            haa95532_0  
cachetools                4.2.0                    pypi_0    pypi
certifi                   2020.12.5        py38haa95532_0  
cffi                      1.14.4                   pypi_0    pypi
chardet                   3.0.4                    pypi_0    pypi
cycler                    0.10.0                   py38_0  
enum34                    1.1.10                   pypi_0    pypi
fastcluster               1.1.26           py38h251f6bf_2    conda-forge
ffmpeg                    4.3.1                ha925a31_0    conda-forge
ffmpy                     0.2.3                    pypi_0    pypi
freetype                  2.10.4               hd328e21_0  
gast                      0.3.3                    pypi_0    pypi
git                       2.23.0               h6bb4b03_0  
google-auth               1.24.0                   pypi_0    pypi
google-auth-oauthlib      0.4.2                    pypi_0    pypi
google-pasta              0.2.0                    pypi_0    pypi
grpcio                    1.34.0                   pypi_0    pypi
h5py                      2.10.0                   pypi_0    pypi
icc_rt                    2019.0.0             h0cc432a_1  
icu                       58.2                 ha925a31_3  
idna                      2.10                     pypi_0    pypi
imageio                   2.9.0                      py_0  
imageio-ffmpeg            0.4.2                      py_0    conda-forge
intel-openmp              2020.2                      254  
joblib                    1.0.0              pyhd3eb1b0_0  
jpeg                      9b                   hb83a4c4_2  
keras                     2.2.4                    pypi_0    pypi
keras-applications        1.0.8                    pypi_0    pypi
keras-preprocessing       1.1.2                    pypi_0    pypi
kiwisolver                1.3.0            py38hd77b12b_0  
libpng                    1.6.37               h2a8f88b_0  
libtiff                   4.1.0                h56a325e_1  
lz4-c                     1.9.2                hf4a77e7_3  
markdown                  3.3.3                    pypi_0    pypi
matplotlib                3.2.2                         0  
matplotlib-base           3.2.2            py38h64f37c6_0  
mkl                       2020.2                      256  
mkl-service               2.3.0            py38h196d8e1_0  
mkl_fft                   1.2.0            py38h45dec08_0  
mkl_random                1.1.1            py38h47e9c7a_0  
numpy                     1.18.5                   pypi_0    pypi
nvidia-ml-py3             7.352.1                  pypi_0    pypi
oauthlib                  3.1.0                    pypi_0    pypi
olefile                   0.46                       py_0  
opencv-python             4.4.0.46                 pypi_0    pypi
openssl                   1.1.1i               h2bbff1b_0  
opt-einsum                3.3.0                    pypi_0    pypi
pathlib                   1.0.1                      py_1  
pillow                    8.0.1            py38h4fa10fc_0  
pip                       20.3.1           py38haa95532_0  
plaidml                   0.7.0                    pypi_0    pypi
plaidml-keras             0.7.0                    pypi_0    pypi
protobuf                  3.14.0                   pypi_0    pypi
psutil                    5.7.2            py38he774522_0  
pyasn1                    0.4.8                    pypi_0    pypi
pyasn1-modules            0.2.8                    pypi_0    pypi
pycparser                 2.20                     pypi_0    pypi
pyparsing                 2.4.7                      py_0  
pyqt                      5.9.2            py38ha925a31_4  
python                    3.8.5                h5fd99cc_1  
python-dateutil           2.8.1                      py_0  
python_abi                3.8                      1_cp38    conda-forge
pywin32                   227              py38he774522_1  
pyyaml                    5.3.1                    pypi_0    pypi
qt                        5.9.7            vc14h73c81de_0  
requests                  2.25.0                   pypi_0    pypi
requests-oauthlib         1.3.0                    pypi_0    pypi
rsa                       4.6                      pypi_0    pypi
scikit-learn              0.23.2           py38h47e9c7a_0  
scipy                     1.5.2            py38h14eb087_0  
setuptools                51.0.0           py38haa95532_2  
sip                       4.19.13          py38ha925a31_0  
six                       1.15.0           py38haa95532_0  
sqlite                    3.33.0               h2a8f88b_0  
tensorboard               2.2.2                    pypi_0    pypi
tensorboard-plugin-wit    1.7.0                    pypi_0    pypi
tensorflow                2.2.1                    pypi_0    pypi
tensorflow-estimator      2.2.0                    pypi_0    pypi
termcolor                 1.1.0                    pypi_0    pypi
threadpoolctl             2.1.0              pyh5ca1d4c_0  
tk                        8.6.10               he774522_0  
tornado                   6.1              py38h2bbff1b_0  
tqdm                      4.54.1             pyhd3eb1b0_0  
urllib3                   1.26.2                   pypi_0    pypi
vc                        14.2                 h21ff451_1  
vs2015_runtime            14.27.29016          h5e58377_2  
werkzeug                  1.0.1                    pypi_0    pypi
wheel                     0.36.2             pyhd3eb1b0_0  
wincertstore              0.2                      py38_0  
wrapt                     1.12.1                   pypi_0    pypi
xz                        5.2.5                h62dcd97_0  
zlib                      1.2.11               h62dcd97_4  
zstd                      1.4.5                h04227a9_0  

================= Configs ==================
--------- .faceswap ---------
backend:                  amd

--------- 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
threshold_1:              0.6
threshold_2:              0.7
threshold_3:              0.7
scalefactor:              0.709
batch-size:               8

[detect.s3fd]
confidence:               70
batch-size:               4

[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]
coverage:                 68.75
icnr_init:                False
conv_aware_init:          False
optimizer:                adam
learning_rate:            5e-05
reflect_padding:          False
allow_growth:             False
mixed_precision:          False
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.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.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

[trainer.original]
preview_images:           14
zoom_amount:              5
rotation_range:           10
shift_range:              5
flip_chance:              50
disable_warp:             False
color_lightness:          30
color_ab:                 8
color_clahe_chance:       50
color_clahe_max_size:     4
by torzdf » Wed Dec 16, 2020 12:48 pm

This usually happens when there is a mismatch between the keras version that created the model and the keras version that is loading the model....

Are you trying to convert on the same machine you trained on? If I were to guess, I would say that this model has been created on an Nvidia machine, and you are attempting to convert on an AMD machine. Sadly this is not supported due to the different underlying structures of the models.

Go to full post
Last edited by tmp888 on Wed Dec 16, 2020 8:12 am, edited 1 time in total.

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torzdf
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Re: TypeError: __init__() got an unexpected keyword argument 'ragged'

Post by torzdf »

This usually happens when there is a mismatch between the keras version that created the model and the keras version that is loading the model....

Are you trying to convert on the same machine you trained on? If I were to guess, I would say that this model has been created on an Nvidia machine, and you are attempting to convert on an AMD machine. Sadly this is not supported due to the different underlying structures of the models.

My word is final


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tmp888
Posts: 2
Joined: Wed Dec 16, 2020 7:01 am

Re: TypeError: __init__() got an unexpected keyword argument 'ragged'

Post by tmp888 »

I hadn't changed GPU's or anything but I did update faceswap since the training data was fed. Which was definitely the problem. Thanks


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