code: def test_big_tensor(self):
      minval = tf.constant(tf.int64.min, dtype=tf.int64)
      maxval = tf.constant(tf.int64.max, dtype=tf.int64)
  
      output0 = seeded_random_uniform(
          [20000, 20000], [1, 1, 1, 1, 1, 1, 1, 2], minval, maxval
      )
      output1 = seeded_random_uniform(
          [20000, 20000], [1, 1, 1, 1, 1, 1, 1, 2], minval, maxval
      )
  
      np.testing.assert_array_equal(output0, output1)
  
imports: import os
  import unittest
  import numpy
  import tensorflow
  from tensorflow.python.framework import errors
  from tensorflow.python.framework.errors import NotFoundError
  import tf_encrypted
label_desc: Use image node_id 6 for calling the TestSeededRandomUniform obj's underlying member method code with example usage: obj.test_big_tensor() without return types