code: def __init__(
      self, in_channels, out_channels, kernel=5, stride=1, padding=2
  ):
      super().__init__()
      self.conv = nn.Conv2d(
          in_channels,
          out_channels,
          kernel_size=kernel,
          stride=stride,
          padding=padding,
      )
      self.activation = nn.PReLU()
  
file_path: ARKitScenes/depth_upsampling/models/msg/blocks.py
imports: import torch.nn
label_desc: Use image node_id 1 to create a new ConvPReLu object from inherited base classes: nn with example: obj = ConvPReLu(in_channels, out_channels, kernel, stride, padding)