code: def __init__(
      self,
      encoder_module: NeuralModule,
      decoder_module: NeuralModule,
      duration_predictor: NeuralModule,
      pitch_predictor: NeuralModule,
      symbols_embedding_dim: int,
      pitch_embedding_kernel_size: int,
      n_mel_channels: int = 80,
      min_token_duration: int = 0,
      max_token_duration: int = 75,
  ):
      super().__init__()
  
      self.encoder = encoder_module
      self.decoder = decoder_module
      self.duration_predictor = duration_predictor
      self.pitch_predictor = pitch_predictor
  
      self.min_token_duration = min_token_duration
      self.max_token_duration = max_token_duration
  
      if self.pitch_predictor is not None:
          self.pitch_emb = torch.nn.Conv1d(
              1,
              symbols_embedding_dim,
              kernel_size=pitch_embedding_kernel_size,
              padding=int((pitch_embedding_kernel_size - 1) / 2),
          )
  
      # Store values precomputed from training data for convenience
      self.register_buffer("pitch_mean", torch.zeros(1))
      self.register_buffer("pitch_std", torch.zeros(1))
  
      self.proj = torch.nn.Linear(
          self.decoder.d_model, n_mel_channels, bias=True
      )
  
imports: import torch
  from nemo.collections.tts.modules.submodules import ConditionalInput, ConditionalLayerNorm
  from nemo.collections.tts.parts.utils.helpers import binarize_attention_parallel, regulate_len
  from nemo.core.classes import NeuralModule, adapter_mixins, typecheck
  from nemo.core.neural_types.elements import EncodedRepresentation, Index, LengthsType, LogprobsType, MelSpectrogramType, ProbsType, RegressionValuesType, TokenDurationType, TokenIndex, TokenLogDurationType
  from nemo.core.neural_types.neural_type import NeuralType
label_desc: Use image node_id 1 to create a new FastPitchSSLModule object from inherited base classes: NeuralModule with example: obj = FastPitchSSLModule(encoder_module, decoder_module, duration_predictor, pitch_predictor, symbols_embedding_dim, pitch_embedding_kernel_size, n_mel_channels, min_token_duration, max_token_duration)