code: def encoder_init(m):
      """Initialize encoder parameters."""
      if isinstance(m, torch.nn.Conv1d):
          torch.nn.init.xavier_uniform_(
              m.weight, torch.nn.init.calculate_gain("relu")
          )
  
file_path: espnet/espnet2/svs/singing_tacotron/encoder.py
imports: import torch
  from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
label_desc: Use image node_id 1 for calling a global function with example usage: encoder_init(m) without return types