code: def forward(self, x: torch.Tensor):
      return self.leaky_relu(self.batch_norm(self.conv(x)))
  
imports: from typing import Union, List, Tuple, Optional
  import torch
  import torch.nn
  import numpy
  from .utils import transform_prediction
label_desc: Use image node_id 2 for calling the ConvLayer obj's underlying member method code with example usage: obj.forward(x) and returns: self