def __init__(
        self,
        dim_in,
        dim_out,
        norm_klass=nn.LayerNorm,
        dropout=0.1
    ):
        """Initializes the FFConvM with specified parameters."""
        super().__init__()
        
        # Define the sequential model
        self.mdl = nn.Sequential(
            norm_klass(dim_in),  # Apply normalization to input
            nn.Linear(dim_in, dim_out),  # Linear transformation to dim_out
            nn.SiLU(),  # Non-linear activation using SiLU (Sigmoid Linear Unit)
            ConvModule(dim_out),  # Convolution operation on the output
            nn.Dropout(dropout)  # Dropout layer for regularization
        )
Initializes the FFConvM with specified parameters.
clearvoice/clearvoice/models/mossformer_gan_se/generator.py