code: def torch_check_eq(self, input, output, rtol=1e-4):
      return torch.all(torch.lt(torch.abs(input - output), rtol))
  
imports: import random
  import copy
  import numpy
  import torch
  import unittest
  from parl.core.torch.policy_distribution import DiagGaussianDistribution, CategoricalDistribution, SoftCategoricalDistribution, SoftMultiCategoricalDistribution
label_desc: Use image node_id 3 for calling the CategoricalDistributionTest obj's underlying member method code with example usage: obj.torch_check_eq(input, output, rtol) and returns: torch