class_docstr: Laplacian loss is refer to
  https://github.com/JizhiziLi/AIM/blob/master/core/evaluate.py#L83
class_docstr_tok: ["Laplacian","loss","is","refer","to","https",":","\/\/github.com\/JizhiziLi\/AIM\/blob\/master\/core\/evaluate.py","#","L83"]
code: def conv_gauss(self, input, kernel):
      n_channels, _, kh, kw = kernel.shape
      x = F.pad(
          input, (kh // 2, kw // 2, kh // 2, kh // 2), mode="replicate"
      )
      x = F.conv2d(x, kernel, groups=n_channels)
  
      return x
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.cvlibs import manager
  import cv2
label_desc: Use image node_id 4 for calling the LaplacianLoss obj's underlying member method code with example usage: obj.conv_gauss(input, kernel) and returns: x