ValueError: Layer encoder was called with an input that isn't a symbolic tensor
Posted: Sun Feb 07, 2021 2:06 am
Started a new project and successfully trained using RealFace for 33 hours. However, when I tried converting, a critical error pops up and crashes. Have used same method previously multiple times and it works without any problems. No idea why its acting up now.
Code: Select all
02/07/2021 09:51:30 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)
02/07/2021 09:51:30 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)
02/07/2021 09:51:30 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)
02/07/2021 09:51:30 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)
02/07/2021 09:51:30 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)
02/07/2021 09:51:30 MainProcess MainThread _config load_module DEBUG Added defaults: model.realface
02/07/2021 09:51:30 MainProcess MainThread _config load_module DEBUG Adding defaults: (filename: unbalanced_defaults.py, module_path: plugins.train.model, plugin_type: model
02/07/2021 09:51:30 MainProcess MainThread _config load_module DEBUG Importing defaults module: plugins.train.model.unbalanced_defaults
02/07/2021 09:51:30 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.')
02/07/2021 09:51:30 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)
02/07/2021 09:51:30 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)
02/07/2021 09:51:30 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)
02/07/2021 09:51:30 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)
02/07/2021 09:51:30 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)
02/07/2021 09:51:30 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)
02/07/2021 09:51:30 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)
02/07/2021 09:51:30 MainProcess MainThread _config load_module DEBUG Added defaults: model.unbalanced
02/07/2021 09:51:30 MainProcess MainThread _config load_module DEBUG Adding defaults: (filename: villain_defaults.py, module_path: plugins.train.model, plugin_type: model
02/07/2021 09:51:30 MainProcess MainThread _config load_module DEBUG Importing defaults module: plugins.train.model.villain_defaults
02/07/2021 09:51:30 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.')
02/07/2021 09:51:30 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)
02/07/2021 09:51:30 MainProcess MainThread _config load_module DEBUG Added defaults: model.villain
02/07/2021 09:51:30 MainProcess MainThread _config load_module DEBUG Adding defaults: (filename: original_defaults.py, module_path: plugins.train.trainer, plugin_type: trainer
02/07/2021 09:51:30 MainProcess MainThread _config load_module DEBUG Importing defaults module: plugins.train.trainer.original_defaults
02/07/2021 09:51:30 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!')
02/07/2021 09:51:30 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)
02/07/2021 09:51:30 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)
02/07/2021 09:51:30 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)
02/07/2021 09:51:30 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)
02/07/2021 09:51:30 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)
02/07/2021 09:51:30 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)
02/07/2021 09:51:30 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)
02/07/2021 09:51:30 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)
02/07/2021 09:51:30 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)
02/07/2021 09:51:30 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)
02/07/2021 09:51:30 MainProcess MainThread _config load_module DEBUG Added defaults: trainer.original
02/07/2021 09:51:30 MainProcess MainThread config handle_config DEBUG Handling config
02/07/2021 09:51:30 MainProcess MainThread config check_exists DEBUG Config file exists: 'C:\Users\phant\faceswap\config\train.ini'
02/07/2021 09:51:30 MainProcess MainThread config load_config VERBOSE Loading config: 'C:\Users\phant\faceswap\config\train.ini'
02/07/2021 09:51:30 MainProcess MainThread config validate_config DEBUG Validating config
02/07/2021 09:51:30 MainProcess MainThread config check_config_change DEBUG Default config has not changed
02/07/2021 09:51:30 MainProcess MainThread config check_config_choices DEBUG Checking config choices
02/07/2021 09:51:30 MainProcess MainThread config check_config_choices DEBUG Checked config choices
02/07/2021 09:51:30 MainProcess MainThread config validate_config DEBUG Validated config
02/07/2021 09:51:30 MainProcess MainThread config handle_config DEBUG Handled config
02/07/2021 09:51:30 MainProcess MainThread config __init__ DEBUG Initialized: Config
02/07/2021 09:51:30 MainProcess MainThread config get DEBUG Getting config item: (section: 'global', option: 'learning_rate')
02/07/2021 09:51:30 MainProcess MainThread config get DEBUG Returning item: (type: <class 'float'>, value: 5e-05)
02/07/2021 09:51:30 MainProcess MainThread config get DEBUG Getting config item: (section: 'global', option: 'allow_growth')
02/07/2021 09:51:30 MainProcess MainThread config get DEBUG Returning item: (type: <class 'bool'>, value: False)
02/07/2021 09:51:30 MainProcess MainThread config get DEBUG Getting config item: (section: 'global', option: 'convert_batchsize')
02/07/2021 09:51:30 MainProcess MainThread config get DEBUG Returning item: (type: <class 'int'>, value: 16)
02/07/2021 09:51:30 MainProcess MainThread config get DEBUG Getting config item: (section: 'global.loss', option: 'eye_multiplier')
02/07/2021 09:51:30 MainProcess MainThread config get DEBUG Returning item: (type: <class 'int'>, value: 3)
02/07/2021 09:51:30 MainProcess MainThread config get DEBUG Getting config item: (section: 'global.loss', option: 'mouth_multiplier')
02/07/2021 09:51:30 MainProcess MainThread config get DEBUG Returning item: (type: <class 'int'>, value: 2)
02/07/2021 09:51:30 MainProcess MainThread config changeable_items DEBUG Alterable for existing models: {'learning_rate': 5e-05, 'allow_growth': False, 'convert_batchsize': 16, 'eye_multiplier': 3, 'mouth_multiplier': 2}
02/07/2021 09:51:30 MainProcess MainThread _base __init__ DEBUG Initializing State: (model_dir: 'G:\Movies\Motion\FS\Illaishah\Project 1\RF', model_name: 'realface', config_changeable_items: '{'learning_rate': 5e-05, 'allow_growth': False, 'convert_batchsize': 16, 'eye_multiplier': 3, 'mouth_multiplier': 2}', no_logs: False
02/07/2021 09:51:30 MainProcess MainThread serializer get_serializer DEBUG <lib.serializer._JSONSerializer object at 0x000002CD5D9A4F70>
02/07/2021 09:51:30 MainProcess MainThread _base _load DEBUG Loading State
02/07/2021 09:51:30 MainProcess MainThread serializer load DEBUG filename: G:\Movies\Motion\FS\Illaishah\Project 1\RF\realface_state.json
02/07/2021 09:51:30 MainProcess MainThread serializer load DEBUG stored data type: <class 'bytes'>
02/07/2021 09:51:30 MainProcess MainThread serializer unmarshal DEBUG data type: <class 'bytes'>
02/07/2021 09:51:30 MainProcess MainThread serializer unmarshal DEBUG returned data type: <class 'dict'>
02/07/2021 09:51:30 MainProcess MainThread serializer load DEBUG data type: <class 'dict'>
02/07/2021 09:51:30 MainProcess MainThread _base _load DEBUG Loaded state: {'name': 'realface', 'sessions': {'1': {'timestamp': 1612536265.3767107, 'no_logs': False, 'loss_names': ['total', 'face_a', 'face_b'], 'batchsize': 16, 'iterations': 84750, 'config': {'learning_rate': 5e-05, 'allow_growth': False, 'convert_batchsize': 16, 'eye_multiplier': 3, 'mouth_multiplier': 2}}, '2': {'timestamp': 1612662383.8888512, 'no_logs': False, 'loss_names': ['total', 'face_a', 'face_b'], 'batchsize': 16, 'iterations': 42, 'config': {'learning_rate': 5e-05, 'allow_growth': False, 'convert_batchsize': 16, 'eye_multiplier': 3, 'mouth_multiplier': 2}}}, 'lowest_avg_loss': {'a': 0.02553022165596485, 'b': 0.022043966341763734}, 'iterations': 84792, 'config': {'centering': 'face', '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, 'input_size': 64, 'output_size': 128, 'dense_nodes': 1536, 'complexity_encoder': 128, 'complexity_decoder': 512}}
02/07/2021 09:51:30 MainProcess MainThread _base _update_legacy_config DEBUG Checking for legacy state file update
02/07/2021 09:51:30 MainProcess MainThread _base _update_legacy_config DEBUG Legacy item 'dssim_loss' not in config. Skipping update
02/07/2021 09:51:30 MainProcess MainThread _base _update_legacy_config DEBUG State file updated for legacy config: False
02/07/2021 09:51:30 MainProcess MainThread _base _replace_config DEBUG Replacing config. Old config: {'centering': 'face', '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, 'input_size': 64, 'output_size': 128, 'dense_nodes': 1536, 'complexity_encoder': 128, 'complexity_decoder': 512}
02/07/2021 09:51:30 MainProcess MainThread _base _replace_config DEBUG Replaced config. New config: {'centering': 'face', '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, 'input_size': 64, 'output_size': 128, 'dense_nodes': 1536, 'complexity_encoder': 128, 'complexity_decoder': 512}
02/07/2021 09:51:30 MainProcess MainThread _base _replace_config INFO Using configuration saved in state file
02/07/2021 09:51:30 MainProcess MainThread _base _new_session_id DEBUG 3
02/07/2021 09:51:30 MainProcess MainThread _base _create_new_session DEBUG Creating new session. id: 3
02/07/2021 09:51:30 MainProcess MainThread _base __init__ DEBUG Initialized State:
02/07/2021 09:51:30 MainProcess MainThread _base __init__ DEBUG Initializing _Settings: (arguments: Namespace(alignments_path='G:\\Movies\\Motion\\FS\\Illaishah\\Source\\Scene\\China student 6. Full bit.lyfanxxxchina - XVIDEOS.fsa', colab=False, color_adjustment='avg-color', configfile=None, exclude_gpus=None, filter=None, frame_ranges=None, func=<bound method ScriptExecutor.execute_script of <lib.cli.launcher.ScriptExecutor object at 0x000002CD4EED0BB0>>, input_aligned_dir=None, input_dir='G:\\Movies\\Motion\\FS\\Illaishah\\Source\\Scene\\China student 6. Full bit.lyfanxxxchina - XVIDEOS.COM.mp4', jobs=0, keep_unchanged=False, logfile=None, loglevel='INFO', mask_type='extended', model_dir='G:\\Movies\\Motion\\FS\\Illaishah\\Project 1\\RF', nfilter=None, on_the_fly=False, output_dir='G:\\Movies\\Motion\\FS\\Illaishah\\Project 1', output_scale=100, redirect_gui=True, ref_threshold=0.4, reference_video='G:\\Movies\\Motion\\FS\\Illaishah\\Source\\Her\\B.mp4', singleprocess=False, swap_model=True, trainer='realface', writer='ffmpeg'), mixed_precision: False, allow_growth: False, is_predict: True)
02/07/2021 09:51:30 MainProcess MainThread _base _set_keras_mixed_precision DEBUG use_mixed_precision: False, exclude_gpus: False
02/07/2021 09:51:30 MainProcess MainThread _base _set_keras_mixed_precision DEBUG Not enabling 'mixed_precision' (backend: amd, use_mixed_precision: False)
02/07/2021 09:51:30 MainProcess MainThread _base _get_strategy DEBUG Using strategy: None
02/07/2021 09:51:30 MainProcess MainThread _base __init__ DEBUG Initialized _Settings
02/07/2021 09:51:30 MainProcess MainThread _base __init__ DEBUG Initializing _Loss
02/07/2021 09:51:30 MainProcess MainThread _base __init__ DEBUG Initialized: _Loss
02/07/2021 09:51:30 MainProcess MainThread _base __init__ DEBUG Initialized ModelBase (Model)
02/07/2021 09:51:30 MainProcess MainThread realface check_input_output DEBUG Input and output sizes are valid
02/07/2021 09:51:30 MainProcess MainThread realface get_dense_width_upscalers_numbers DEBUG dense_width: 4, upscalers_no: 5
02/07/2021 09:51:30 MainProcess MainThread _base strategy_scope DEBUG Using strategy scope: <contextlib.nullcontext object at 0x000002CD5F3550D0>
02/07/2021 09:51:30 MainProcess MainThread _base _load DEBUG Loading model: G:\Movies\Motion\FS\Illaishah\Project 1\RF\realface.h5
02/07/2021 09:51:30 MainProcess MainThread library _logger_callback INFO Opening device "opencl_amd_gfx900.0"
02/07/2021 09:51:33 MainProcess MainThread _base _load INFO Loaded model from disk: 'G:\Movies\Motion\FS\Illaishah\Project 1\RF\realface.h5'
02/07/2021 09:51:33 MainProcess MainThread _base __init__ DEBUG Initializing: _Inference (saved_model: <keras.engine.training.Model object at 0x000002CD5F355F40>, switch_sides: True)
02/07/2021 09:51:33 MainProcess MainThread _base _make_inference_model DEBUG Compiling inference model. saved_model: <keras.engine.training.Model object at 0x000002CD5F355F40>
02/07/2021 09:51:33 MainProcess MainThread _base _get_filtered_structure DEBUG Model structure: OrderedDict([('decoder_a', [('encoder', 0)]), ('encoder', [('face_in_b', 0)]), ('face_in_b', [])])
02/07/2021 09:51:33 MainProcess MainThread _base _get_inputs DEBUG model inputs: [<tile.Value face_in_a Placeholder FLOAT32(<tile.Value SymbolicDim UINT64()>, 64, 64, 3)>, <tile.Value face_in_b Placeholder FLOAT32(<tile.Value SymbolicDim UINT64()>, 64, 64, 3)>], input_split: 1, start_idx: 1, inference_inputs: [<tile.Value face_in_b Placeholder FLOAT32(<tile.Value SymbolicDim UINT64()>, 64, 64, 3)>]
02/07/2021 09:51:33 MainProcess MainThread _base _make_inference_model DEBUG Skipping unused layer: 'face_in_a'
02/07/2021 09:51:33 MainProcess MainThread _base _make_inference_model DEBUG Processing layer 'face_in_b': (layer: <keras.engine.input_layer.InputLayer object at 0x000002CD5F355D90>, inbound_nodes: [])
02/07/2021 09:51:33 MainProcess MainThread _base _make_inference_model DEBUG Adding model inputs face_in_b: [<tile.Value face_in_b Placeholder FLOAT32(<tile.Value SymbolicDim UINT64()>, 64, 64, 3)>]
02/07/2021 09:51:33 MainProcess MainThread _base KerasModel DEBUG Flattening inputs ([<tile.Value face_in_b Placeholder FLOAT32(<tile.Value SymbolicDim UINT64()>, 64, 64, 3)>]) and outputs ([<tile.Value face_in_b Placeholder FLOAT32(<tile.Value SymbolicDim UINT64()>, 64, 64, 3)>]) for AMD
02/07/2021 09:51:33 MainProcess MainThread _base KerasModel DEBUG Flattened inputs ([<tile.Value face_in_b Placeholder FLOAT32(<tile.Value SymbolicDim UINT64()>, 64, 64, 3)>]) and outputs ([<tile.Value face_in_b Placeholder FLOAT32(<tile.Value SymbolicDim UINT64()>, 64, 64, 3)>])
02/07/2021 09:51:33 MainProcess MainThread _base _make_inference_model DEBUG Processing layer 'encoder': (layer: <keras.engine.training.Model object at 0x000002CD60B7EFD0>, inbound_nodes: [('face_in_b', 0)])
02/07/2021 09:51:33 MainProcess MainThread _base _make_inference_model DEBUG Compiling layer 'encoder': layer inputs: [[<tile.Value face_in_b Placeholder FLOAT32(<tile.Value SymbolicDim UINT64()>, 64, 64, 3)>]]
Traceback (most recent call last):
File "C:\Users\phant\MiniConda3\envs\faceswap\lib\site-packages\keras\engine\base_layer.py", line 279, in assert_input_compatibility
K.is_keras_tensor(x)
File "C:\Users\phant\MiniConda3\envs\faceswap\lib\site-packages\plaidml\keras\backend.py", line 59, in wrapper
return func(*args, **kwargs)
File "C:\Users\phant\MiniConda3\envs\faceswap\lib\site-packages\plaidml\keras\backend.py", line 927, in is_keras_tensor
raise ValueError('Unexpectedly found an instance of type `' + str(type(x)) + '`. '
ValueError: Unexpectedly found an instance of type `<class 'list'>`. Expected a symbolic tensor instance.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\phant\faceswap\lib\cli\launcher.py", line 181, in execute_script
process = script(arguments)
File "C:\Users\phant\faceswap\scripts\convert.py", line 65, in __init__
self._predictor = Predict(self._disk_io.load_queue, self._queue_size, arguments)
File "C:\Users\phant\faceswap\scripts\convert.py", line 661, in __init__
self._model = self._load_model()
File "C:\Users\phant\faceswap\scripts\convert.py", line 746, in _load_model
model.build()
File "C:\Users\phant\faceswap\plugins\train\model\_base.py", line 260, in build
inference = _Inference(model, self._args.swap_model)
File "C:\Users\phant\faceswap\plugins\train\model\_base.py", line 1377, in __init__
self._model = self._make_inference_model(saved_model)
File "C:\Users\phant\faceswap\plugins\train\model\_base.py", line 1447, in _make_inference_model
model = layer(layer_inputs)
File "C:\Users\phant\MiniConda3\envs\faceswap\lib\site-packages\keras\engine\base_layer.py", line 440, in __call__
self.assert_input_compatibility(inputs)
File "C:\Users\phant\MiniConda3\envs\faceswap\lib\site-packages\keras\engine\base_layer.py", line 281, in assert_input_compatibility
raise ValueError('Layer ' + self.name + ' was called with '
ValueError: Layer encoder was called with an input that isn't a symbolic tensor. Received type: <class 'list'>. Full input: [[<tile.Value face_in_b Placeholder FLOAT32(<tile.Value SymbolicDim UINT64()>, 64, 64, 3)>]]. All inputs to the layer should be tensors.
============ System Information ============
encoding: cp1252
git_branch: master
git_commits: cd24f25 Extract - Always output faces as .png. daaf6d4 Merge branch 'master' into staging. f32d714 lib.model.nn_blocks - Maintenance - Add additional activation functions - Add custom upscale block. 27a7adb Update README.md. 1d8c3c4 Merge branch 'master' into staging
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. - gfx900 (experimental), GPU_1: Advanced Micro Devices, Inc. - gfx900 (supported)
gpu_devices_active: GPU_0, GPU_1
gpu_driver: ['3188.4 (PAL,HSAIL)', '3188.4 (PAL,HSAIL)']
gpu_vram: GPU_0: 8176MB, GPU_1: 8176MB
os_machine: AMD64
os_platform: Windows-10-10.0.19041-SP0
os_release: 10
py_command: C:\Users\phant\faceswap\faceswap.py convert -i G:/Movies/Motion/FS/Illaishah/Source/Scene/China student 6. Full bit.lyfanxxxchina - XVIDEOS.COM.mp4 -o G:/Movies/Motion/FS/Illaishah/Project 1 -al G:/Movies/Motion/FS/Illaishah/Source/Scene/China student 6. Full bit.lyfanxxxchina - XVIDEOS.fsa -ref G:/Movies/Motion/FS/Illaishah/Source/Her/B.mp4 -m G:/Movies/Motion/FS/Illaishah/Project 1/RF -c avg-color -M extended -w ffmpeg -osc 100 -l 0.4 -j 0 -t realface -s -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: 16334MB, Available: 9823MB, Used: 6511MB, Free: 9823MB
=============== Pip Packages ===============
absl-py==0.11.0
astunparse==1.6.3
cachetools==4.1.1
certifi==2020.11.8
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==1.23.0
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_1601912903842/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_1606938474023/work
urllib3==1.26.2
Werkzeug==1.0.1
wincertstore==0.2
wrapt==1.12.1
============== Conda Packages ==============
# packages in environment at C:\Users\phant\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 2020.10.14 0
cachetools 4.1.1 pypi_0 pypi
certifi 2020.11.8 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 1.23.0 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 0.17.0 py_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 1.1.1h he774522_0
opt-einsum 3.3.0 pypi_0 pypi
pathlib 1.0.1 py_1
pillow 8.0.1 py38h4fa10fc_0
pip 20.3 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 50.3.2 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 4.54.0 pyhd3eb1b0_0
urllib3 1.26.2 pypi_0 pypi
vc 14.1 h0510ff6_4
vs2015_runtime 14.16.27012 hf0eaf9b_3
werkzeug 1.0.1 pypi_0 pypi
wheel 0.36.0 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: gaussian
kernel_size: 3
passes: 4
threshold: 4
erosion: 0.0
[scaling.sharpen]
method: gaussian
amount: 150
radius: 0.3
threshold: 5.0
[writer.ffmpeg]
container: mp4
codec: libx264
crf: 0
preset: veryslow
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]
centering: face
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.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.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