code: def __init__(
      self,
      in_channels,
      out_channels,
      kernel_size=1,
      stride=1,
      padding=0,
  ):
      super(PassConv, self).__init__()
  
      self.layer = nn.Sequential(
          nn.Conv2d(
              in_channels,
              out_channels,
              kernel_size=kernel_size,
              stride=stride,
              padding=padding,
          ),
          nn.ReLU(inplace=True),
      )
  
imports: import torch
  import torch.nn
  import torch.nn.init
  import torch.nn.functional
  import numpy
label_desc: Use image node_id 1 to create a new PassConv object from inherited base classes: nn with example: obj = PassConv(in_channels, out_channels, kernel_size, stride, padding)