code: def test_pad_to_max_dims(self):
      tensors1 = [np.zeros((3, 10)), np.ones((3, 10))]
      padded1 = data.inputs.pad_to_max_dims(tensors1)
      self.assertEqual(padded1.shape, (2, 3, 10))
      tensors2 = [np.zeros((2, 10)), np.ones((3, 9))]
      padded2 = data.inputs.pad_to_max_dims(tensors2)
      self.assertEqual(padded2.shape, (2, 3, 10))
      tensors3 = [np.zeros((8, 10)), np.ones((8, 9))]
      padded3 = data.inputs.pad_to_max_dims(tensors3, 12)
      self.assertEqual(padded3.shape, (2, 12, 12))
      tensors4 = [np.zeros((2, 10)), np.ones((3, 9))]
      padded4 = data.inputs.pad_to_max_dims(tensors4, 12)
      self.assertEqual(padded4.shape, (2, 4, 12))
  
imports: import itertools
  import os
  from absl.testing import absltest
  from absl.testing import parameterized
  import numpy
  from trax import data
label_desc: Use image node_id 21 for calling the InputsTest obj's underlying member method code with example usage: obj.test_pad_to_max_dims() without return types