class_docstr: Computes a kernel using the transportation distance as the distance. 
docstr: Given two lists of neural networks computes the distance between the two. 
docstr_tok: ["Given","two","lists","of","neural","networks","computes","the","distance","between","the","two","."]
code: def compute_dists(self, X1, X2):
      """Given two lists of neural networks computes the distance between the two."""
      return self.trans_dist_computer(X1, X2)
  
imports: import numpy
  from .None import neural_network
  from ..gp.kernel import ExpSumOfDistsKernel, SumOfExpSumOfDistsKernel
  from ..utils.oper_utils import opt_transport
label_desc: Use image node_id 2 for calling the DistProdNNKernel obj's underlying member method code with example usage: obj.compute_dists(X1, X2) and returns: self