code: def __init__(self, N):
      super().__init__()
      self.child = LinearReluFunctionalChild(N)
      self.w1 = nn.Parameter(torch.empty(N, N))
      self.b1 = nn.Parameter(torch.zeros(N))
      torch.nn.init.kaiming_uniform_(self.w1, a=math.sqrt(5))
  
file_path: pytorch/torch/testing/_internal/quantization_torch_package_models.py
imports: import math
  import torch
  import torch.nn
label_desc: Use image node_id 1 to create a new LinearReluFunctional object from inherited base classes: nn with example: obj = LinearReluFunctional(N)