code: def __init__(
      self,
      in_channels: int,
      out_channels: int,
      kernel_size: int,
      padding: int,
  ):
      super().__init__()
      self.conv = nn.Conv1d(
          in_channels,
          out_channels,
          kernel_size,
          padding=padding,
          groups=in_channels,
      )
  
imports: from typing import Tuple
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn.utils import parametrize
  from TTS.tts.layers.delightful_tts.kernel_predictor import KernelPredictor
label_desc: Use image node_id 1 to create a new DepthWiseConv1d object from inherited base classes: nn with example: obj = DepthWiseConv1d(in_channels, out_channels, kernel_size, padding)