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
  import numpy
  from tensorflow.core.framework import full_type_pb2
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.framework.type_utils import fulltypes_for_flat_tensors
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 1 for calling the SparseTensorSpecTest obj's underlying member method code with example usage: obj.assertAllTensorsEqual(list1, list2) without return types