code: def test_predict_different_inputs(self):
      grnnet = algorithms.GRNN(std=0.1, verbose=False)
  
      data = np.array([[1, 2, 3]]).T
      target = np.array([[1, 2, 3]]).T
  
      grnnet.train(data, target)
      self.assertInvalidVectorPred(
          grnnet, data.ravel(), target, decimal=2
      )
  
file_path: neupy/tests/algorithms/rbfn/test_grnn.py
imports: import numpy
  from sklearn import datasets, metrics
  from sklearn.model_selection import train_test_split
  from neupy import algorithms
  from neupy.exceptions import NotTrained
  from base import BaseTestCase
label_desc: Use image node_id 4 for calling the GRNNTestCase obj's underlying member method code with example usage: obj.test_predict_different_inputs() without return types