code: def _as_tensor_list_list(tensors_list):
      if not tensors_list:
          raise ValueError("Expected at least one set of tensors")
      if isinstance(tensors_list[0], dict):
          expected_keys = set(tensors_list[0].keys())
          for tensors in tensors_list[1:]:
              if set(tensors.keys()) != expected_keys:
                  raise ValueError(
                      "All dictionaries in tensors_list must have "
                      "the same keys"
                  )
          return [_as_tensor_list(tensors) for tensors in tensors_list]
      else:
          return tensors_list
  
imports: from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import indexed_slices
  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.layers import utils
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import control_flow_assert
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import data_flow_ops
  from tensorflow.python.ops import io_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.ops import variable_v1
  from tensorflow.python.summary import summary
  from tensorflow.python.training import queue_runner
  from tensorflow.python.util import deprecation
  from tensorflow.python.util.compat import collections_abc
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 9 for calling a global function with example usage: _as_tensor_list_list(tensors_list) and returns: unknown, tensors_list