code: def assertAllTensorsEqual(self, list1, list2):
      self.assertLen(list1, len(list2))
      for t1, t2 in zip(list1, list2):
          self.assertAllEqual(t1, t2)
  
imports: from absl.testing import parameterized
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import extension_type
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.framework import type_spec
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops import clip_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import string_ops
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.ops.ragged import ragged_tensor_test_ops
  from tensorflow.python.ops.ragged.ragged_tensor import RaggedTensor
  from tensorflow.python.ops.ragged.ragged_tensor import RaggedTensorSpec
  from tensorflow.python.platform import googletest
  from tensorflow.python.util import dispatch
label_desc: Use image node_id 1 for calling the RaggedTensorSupportedValuesTest obj's underlying member method code with example usage: obj.assertAllTensorsEqual(list1, list2) without return types