code: def tensor_list_concat(
      input_handle, element_dtype, element_shape=None, name=None
  ):
      # Ignore the lengths output of TensorListConcat. It is only used during
      # gradient computation.
      return gen_list_ops.tensor_list_concat_v2(
          input_handle=input_handle,
          element_dtype=element_dtype,
          element_shape=_build_element_shape(element_shape),
          leading_dims=ops.convert_to_tensor([], dtype=dtypes.int64),
          name=name,
      )[0]
  
imports: import numpy
  from tensorflow.core.framework import full_type_pb2
  from tensorflow.python.framework import cpp_shape_inference_pb2
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_list_ops
  from tensorflow.python.ops import handle_data_util
  from tensorflow.python.ops.gen_list_ops import *
label_desc: Use image node_id 10 for calling a global function with example usage: tensor_list_concat(input_handle, element_dtype, element_shape, name) and returns: gen_list_ops