class_docstr: Conv Smoothing 2D.
  
  :param kernel_size: size of the convolving kernel.
code: def __init__(self, kernel):
      super(ConvSmoothing2D, self).__init__()
      self.filter = _generate_conv2d_from_smoothing_kernel(kernel)
  
imports: import math
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn.modules.utils import _quadruple
  from .base import Processor
label_desc: Use image node_id 1 to create a new ConvSmoothing2D object from inherited base classes: Processor with example: obj = ConvSmoothing2D(kernel)