docstr: Checks that there are no duplicate elements anywhere among the tensors.
  
  Args:
    tensors: a list of tensors. They can have different shapes.
code: def assertAllDifferent(self, tensors):
      """Checks that there are no duplicate elements anywhere among the tensors.
  
      Args:
        tensors: a list of tensors. They can have different shapes.
      """
      tensors = [array_ops.reshape(t, shape=[-1]) for t in tensors]
      ls = array_ops.concat(tensors, axis=0).numpy().tolist()
      self.assertAllEqual(len(ls), len(set(ls)))
  
imports: import os
  import re
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.checkpoint import checkpoint
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import config
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.kernel_tests.random import util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_random_ops
  from tensorflow.python.ops import gen_stateful_random_ops
  from tensorflow.python.ops import logging_ops
  from tensorflow.python.ops import random_ops_util
  from tensorflow.python.ops import stateful_random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling the StatefulRandomOpsTest obj's underlying member method code with example usage: obj.assertAllDifferent(tensors) without return types