code: def get_flat_tensor_types(element_spec):
      """Returns a list `tf.DType`s for the element tensor representation.
  
      Args:
        element_spec: A nested structure of `tf.TypeSpec` objects representing to
          element type specification.
  
      Returns:
        A list `tf.DType`s for the element tensor representation.
      """
      return [
          spec.dtype for spec in get_flat_tensor_specs(element_spec)
      ]
  
imports: import collections
  import functools
  import itertools
  import wrapt
  from tensorflow.python.data.util import nest
  from tensorflow.python.framework import composite_tensor
  from tensorflow.python.framework import none_tensor
  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 type_spec
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.ops import tensor_array_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.types import internal
  from tensorflow.python.util import deprecation
  from tensorflow.python.util.compat import collections_abc
  from tensorflow.python.util.nest_util import CustomNestProtocol
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 12 for calling a global function with example usage: get_flat_tensor_types(element_spec) and returns: unknown