code: def testStrideTensor1d(self, pool_size):
      converter = mtf_test_utils.NumpyConverter()
      x = np.random.randint(0, 100, size=[2, 3, 6, 5])
      x_mtf = converter.convert_np_array_to_mtf_tensor(x)
      expected = x[:, :, range(0, x.shape[2], pool_size), :]
      strided_mtf = mtf.stride_tensor_1d(
          x_mtf, pool_dim=x_mtf.shape.dims[2], pool_size=pool_size
      )
      actual = converter.convert_mtf_tensor_to_np_array(strided_mtf)
      self.assertAllEqual(expected, actual)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import mesh_tensorflow
  from mesh_tensorflow import test_utils
  import numpy
  import tensorflow.compat.v1
  from tensorflow.python.framework import test_util
label_desc: Use image node_id 14 for calling the MeshTensorFlowTest obj's underlying member method code with example usage: obj.testStrideTensor1d(pool_size) without return types