code: def test_pad_to_max_dims_boundary_list(self):
      tensors = [
          np.zeros((1, 15, 31)),
          np.ones((2, 10, 35)),
          np.ones((4, 2, 3)),
      ]
      padded_tensors = data.inputs.pad_to_max_dims(
          tensors, boundary=(None, 15, 20)
      )
      # no boundary, only max in the first dim, 15 is already the max len in
      # second dim, last dim padded to multiple of 20.
      # The outer dim is the batch here.
      self.assertEqual(padded_tensors.shape, (3, 4, 15, 40))
  
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 29 for calling the InputsTest obj's underlying member method code with example usage: obj.test_pad_to_max_dims_boundary_list() without return types