class_docstr: Laplace filter for a stack of data.
code: def __init__(self):
      super().__init__()
      self.conv = nn.Conv3d(1, 1, 3, bias=False, padding=1)
      self.conv.weight.data.copy_(torch.from_numpy(laplace3d()))
      self.conv.weight.requires_grad = False
  
imports: import torch.nn
  import numpy
  import torch
label_desc: Use image node_id 1 to create a new Laplace3D object from inherited base classes: nn with example: obj = Laplace3D()