code: def __init__(self, inplanes, outplanes=64, clamp=False):
      super(Diffuse, self).__init__()
      self.alpha = Parameter(torch.Tensor(1))
      self.beta = Parameter(torch.Tensor(1))
      self.alpha.data.fill_(0)
      self.beta.data.fill_(0)
      self.clamp = clamp
      self.softmax = nn.Softmax(2)
      self.conv = nn.Conv2d(
          in_channels=inplanes,
          out_channels=outplanes,
          kernel_size=1,
          stride=1,
          padding=0,
      )
      self.bn = nn.BatchNorm2d(outplanes)
  
imports: import math
  import torch
  import torch.nn
  from torch.nn.parameter import Parameter
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new Diffuse object from inherited base classes: nn with example: obj = Diffuse(inplanes, outplanes, clamp)