code: def create_mean(
      self, input_size=1, batch_shape=torch.Size(), bias=True, **kwargs
  ):
      return LinearMeanGradGrad(
          input_size=input_size, batch_shape=batch_shape, bias=bias
      )
  
file_path: gpytorch/test/means/test_linear_mean_gradgrad.py
imports: import unittest
  import torch
  from gpytorch.means import LinearMeanGradGrad
  from gpytorch.test.base_mean_test_case import BaseMeanTestCase
label_desc: Use image node_id 1 for calling the TestLinearMeanGradGrad obj's underlying member method code with example usage: obj.create_mean(input_size, batch_shape, bias) and returns: LinearMeanGradGrad