code: def __init__(
      self,
      in_channels,
      out_channels,
      kernel_size,
      stride,
      dilation,
      padding,
      groups,
  ):
      super().__init__()
  
      self.conv = nn.Conv1d(
          in_channels,
          out_channels,
          kernel_size=kernel_size,
          stride=stride,
          dilation=dilation,
          padding=padding,
          groups=groups,
      )
  
imports: import math
  import torch
  from torch import nn
  from nemo.collections.tts.modules.submodules import ConvNorm
  from nemo.collections.tts.modules.transformer import PositionalEmbedding
label_desc: Use image node_id 1 to create a new SameLensMaskedConv1d object from inherited base classes: nn with example: obj = SameLensMaskedConv1d(in_channels, out_channels, kernel_size, stride, dilation, padding, groups)