class_docstr: Defines parameters for FreeVC End2End TTS model.
  
  Args:
      model (str):
          Model name. Do not change unless you know what you are doing.
  
      model_args (FreeVCArgs):
          Model architecture arguments. Defaults to `FreeVCArgs()`.
  
      audio (FreeVCAudioConfig):
          Audio processing configuration. Defaults to `FreeVCAudioConfig()`.
  
      grad_clip (List):
          Gradient clipping thresholds for each optimizer. Defaults to `[1000.0, 1000.0]`.
  
      lr_gen (float):
          Initial learning rate for the generator. Defaults to 0.0002.
  
      lr_disc (float):
          Initial learning rate for the discriminator. Defaults to 0.0002.
  
      lr_scheduler_gen (str):
          Name of the learning rate scheduler for the generator. One of the `torch.optim.lr_scheduler.*`. Defaults to
          `ExponentialLR`.
  
      lr_scheduler_gen_params (dict):
          Parameters for the learning rate scheduler of the generator. Defaults to `{'gamma': 0.999875, "last_epoch":-1}`.
  
      lr_scheduler_disc (str):
          Name of the learning rate scheduler for the discriminator. One of the `torch.optim.lr_scheduler.*`. Defaults to
          `ExponentialLR`.
  
      lr_scheduler_disc_params (dict):
          Parameters for the learning rate scheduler of the discriminator. Defaults to `{'gamma': 0.999875, "last_epoch":-1}`.
  
      scheduler_after_epoch (bool):
          If true, step the schedulers after each epoch else after each step. Defaults to `False`.
  
      optimizer (str):
          Name of the optimizer to use with both the generator and the discriminator networks. One of the
          `torch.optim.*`. Defaults to `AdamW`.
  
      kl_loss_alpha (float):
          Loss weight for KL loss. Defaults to 1.0.
  
      disc_loss_alpha (float):
          Loss weight for the discriminator loss. Defaults to 1.0.
  
      gen_loss_alpha (float):
          Loss weight for the generator loss. Defaults to 1.0.
  
      feat_loss_alpha (float):
          Loss weight for the feature matching loss. Defaults to 1.0.
  
      mel_loss_alpha (float):
          Loss weight for the mel loss. Defaults to 45.0.
  
      return_wav (bool):
          If true, data loader returns the waveform as well as the other outputs. Do not change. Defaults to `True`.
  
      compute_linear_spec (bool):
          If true, the linear spectrogram is computed and returned alongside the mel output. Do not change. Defaults to `True`.
  
      use_weighted_sampler (bool):
          If true, use weighted sampler with bucketing for balancing samples between datasets used in training. Defaults to `False`.
  
      weighted_sampler_attrs (dict):
          Key retuned by the formatter to be used for weighted sampler. For example `{"root_path": 2.0, "speaker_name": 1.0}` sets sample probabilities
          by overweighting `root_path` by 2.0. Defaults to `{}`.
  
      weighted_sampler_multipliers (dict):
          Weight each unique value of a key returned by the formatter for weighted sampling.
          For example `{"root_path":{"/raid/datasets/libritts-clean-16khz-bwe-coqui_44khz/LibriTTS/train-clean-100/":1.0, "/raid/datasets/libritts-clean-16khz-bwe-coqui_44khz/LibriTTS/train-clean-360/": 0.5}`.
          It will sample instances from `train-clean-100` 2 times more than `train-clean-360`. Defaults to `{}`.
  
      r (int):
          Number of spectrogram frames to be generated at a time. Do not change. Defaults to `1`.
  
      add_blank (bool):
          If true, a blank token is added in between every character. Defaults to `True`.
  
      test_sentences (List[List]):
          List of sentences with speaker and language information to be used for testing.
  
      language_ids_file (str):
          Path to the language ids file.
  
      use_language_embedding (bool):
          If true, language embedding is used. Defaults to `False`.
  
  Note:
      Check :class:`TTS.tts.configs.shared_configs.BaseTTSConfig` for the inherited parameters.
  
  Example:
  
      >>> from TTS.vc.configs.freevc_config import FreeVCConfig
      >>> config = FreeVCConfig()
class_docstr_tok: ["Defines","parameters","for","FreeVC","End2End","TTS","model",".","Args",":","model","(","str",")",":","Model","name",".","Do","not","change","unless","you","know","what","you","are","doing",".","model_args","(","FreeVCArgs",")",":","Model","architecture","arguments",".","Defaults","to","`","FreeVCArgs","(",")","`",".","audio","(","FreeVCAudioConfig",")",":","Audio","processing","configuration",".","Defaults","to","`","FreeVCAudioConfig","(",")","`",".","grad_clip","(","List",")",":","Gradient","clipping","thresholds","for","each","optimizer",".","Defaults","to","`","[","1000.0",",","1000.0","]","`",".","lr_gen","(","float",")",":","Initial","learning","rate","for","the","generator",".","Defaults","to","0.0002.","lr_disc","(","float",")",":","Initial","learning","rate","for","the","discriminator",".","Defaults","to","0.0002.","lr_scheduler_gen","(","str",")",":","Name","of","the","learning","rate","scheduler","for","the","generator",".","One","of","the","`","torch.optim.lr_scheduler.","*","`",".","Defaults","to","`","ExponentialLR","`",".","lr_scheduler_gen_params","(","dict",")",":","Parameters","for","the","learning","rate","scheduler","of","the","generator",".","Defaults","to","`","{","'gamma","'",":","0.999875",",","``","last_epoch","''",":","-1","}","`",".","lr_scheduler_disc","(","str",")",":","Name","of","the","learning","rate","scheduler","for","the","discriminator",".","One","of","the","`","torch.optim.lr_scheduler.","*","`",".","Defaults","to","`","ExponentialLR","`",".","lr_scheduler_disc_params","(","dict",")",":","Parameters","for","the","learning","rate","scheduler","of","the","discriminator",".","Defaults","to","`","{","'gamma","'",":","0.999875",",","``","last_epoch","''",":","-1","}","`",".","scheduler_after_epoch","(","bool",")",":","If","true",",","step","the","schedulers","after","each","epoch","else","after","each","step",".","Defaults","to","`","False","`",".","optimizer","(","str",")",":","Name","of","the","optimizer","to","use","with","both","the","generator","and","the","discriminator","networks",".","One","of","the","`","torch.optim.","*","`",".","Defaults","to","`","AdamW","`",".","kl_loss_alpha","(","float",")",":","Loss","weight","for","KL","loss",".","Defaults","to","1.0.","disc_loss_alpha","(","float",")",":","Loss","weight","for","the","discriminator","loss",".","Defaults","to","1.0.","gen_loss_alpha","(","float",")",":","Loss","weight","for","the","generator","loss",".","Defaults","to","1.0.","feat_loss_alpha","(","float",")",":","Loss","weight","for","the","feature","matching","loss",".","Defaults","to","1.0.","mel_loss_alpha","(","float",")",":","Loss","weight","for","the","mel","loss",".","Defaults","to","45.0.","return_wav","(","bool",")",":","If","true",",","data","loader","returns","the","waveform","as","well","as","the","other","outputs",".","Do","not","change",".","Defaults","to","`","True","`",".","compute_linear_spec","(","bool",")",":","If","true",",","the","linear","spectrogram","is","computed","and","returned","alongside","the","mel","output",".","Do","not","change",".","Defaults","to","`","True","`",".","use_weighted_sampler","(","bool",")",":","If","true",",","use","weighted","sampler","with","bucketing","for","balancing","samples","between","datasets","used","in","training",".","Defaults","to","`","False","`",".","weighted_sampler_attrs","(","dict",")",":","Key","retuned","by","the","formatter","to","be","used","for","weighted","sampler",".","For","example","`","{","``","root_path","''",":","2.0",",","``","speaker_name","''",":","1.0","}","`","sets","sample","probabilities","by","overweighting","`","root_path","`","by","2.0",".","Defaults","to","`","{","}","`",".","weighted_sampler_multipliers","(","dict",")",":","Weight","each","unique","value","of","a","key","returned","by","the","formatter","for","weighted","sampling",".","For","example","`","{","``","root_path","''",":","{","``","\/raid\/datasets\/libritts-clean-16khz-bwe-coqui_44khz\/LibriTTS\/train-clean-100\/","''",":1.0",",","``","\/raid\/datasets\/libritts-clean-16khz-bwe-coqui_44khz\/LibriTTS\/train-clean-360\/","''",":","0.5","}","`",".","It","will","sample","instances","from","`","train-clean-100","`","2","times","more","than","`","train-clean-360","`",".","Defaults","to","`","{","}","`",".","r","(","int",")",":","Number","of","spectrogram","frames","to","be","generated","at","a","time",".","Do","not","change",".","Defaults","to","`","1","`",".","add_blank","(","bool",")",":","If","true",",","a","blank","token","is","added","in","between","every","character",".","Defaults","to","`","True","`",".","test_sentences","(","List","[","List","]",")",":","List","of","sentences","with","speaker","and","language","information","to","be","used","for","testing",".","language_ids_file","(","str",")",":","Path","to","the","language","ids","file",".","use_language_embedding","(","bool",")",":","If","true",",","language","embedding","is","used",".","Defaults","to","`","False","`",".","Note",":","Check",":","class",":","`","TTS.tts.configs.shared_configs.BaseTTSConfig","`","for","the","inherited","parameters",".","Example",":",">",">",">","from","TTS.vc.configs.freevc_config","import","FreeVCConfig",">",">",">","config","=","FreeVCConfig","(",")"]
code: def __post_init__(self):
      for key, val in self.model_args.items():
          if hasattr(self, key):
              self[key] = val
  
file_path: TTS/TTS/vc/configs/freevc_config.py
imports: from dataclasses import dataclass, field
  from typing import List, Optional
  from coqpit import Coqpit
  from TTS.vc.configs.shared_configs import BaseVCConfig
label_desc: Use image node_id 1 for calling the FreeVCConfig obj's underlying member method code with example usage: obj.__post_init__() without return types