code: def reduce_std(
      input_tensor: ragged_tensor.Ragged,
      axis=None,
      keepdims=False,
      name=None,
  ):
      """For docs, see: _RAGGED_REDUCE_DOCSTRING."""
      with ops.name_scope(
          name, "RaggedReduceStd", [input_tensor, axis]
      ):
          variance = reduce_variance(
              input_tensor, axis=axis, keepdims=keepdims
          )
          return math_ops.sqrt(variance)
  
imports: import functools
  import typing
  import numpy
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops import gen_ragged_math_ops
  from tensorflow.python.ops import map_fn
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops.ragged import ragged_functional_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.ops.ragged import segment_id_ops
  from tensorflow.python.util import dispatch
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 18 for calling a global function with example usage: reduce_std(input_tensor, axis, keepdims, name) and returns: math_ops