class_docstr: 1x1 Conv1d with customized initialization.
class_docstr_tok: ["1x1","Conv1d","with","customized","initialization","."]
docstr: Initialize 1x1 Conv1d module.
docstr_tok: ["Initialize","1x1","Conv1d","module","."]
code: def __init__(self, in_channels: int, out_channels: int, bias: bool):
      """Initialize 1x1 Conv1d module."""
      super().__init__(
          in_channels,
          out_channels,
          kernel_size=1,
          padding=0,
          dilation=1,
          bias=bias,
      )
  
file_path: espnet/espnet2/gan_tts/wavenet/residual_block.py
imports: import math
  from typing import Optional, Tuple
  import torch
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new Conv1d1x1 object from inherited base classes: Conv1d with example: obj = Conv1d1x1(in_channels, out_channels, bias)