code: def forward(self, x):
      return nn.functional.leaky_relu(x, negative_slope=1.0)
  
imports: import math
  from pathlib import Path
  import numpy
  import pytest
  import torch
  import torch.nn
  from torch.nn import AvgPool1d, AvgPool2d, MaxPool1d, MaxPool2d
  from hls4ml.converters import convert_from_pytorch_model
  from hls4ml.utils.config import config_from_pytorch_model
label_desc: Use image node_id 2 for calling the LeakyReLuModel obj's underlying member method code with example usage: obj.forward(x) and returns: nn