parameters: (data,
                            indices,
                            segment_ids,
                            name=None,
                            num_segments=None)
docstring: r"""Computes the sum along sparse segments of a tensor divided by the sqrt(N).
  
    `N` is the size of the segment being reduced.
  
    Args:
      data: A `Tensor` with data that will be assembled in the output.
      indices: A 1-D `Tensor` with indices into `data`. Has same rank as
        `segment_ids`.
      segment_ids: A 1-D `Tensor` with indices into the output `Tensor`. Values
        should be sorted and can be repeated.
      name: A name for the operation (optional).
      num_segments: An optional int32 scalar. Indicates the size of the output
        `Tensor`.
  
    Returns:
      A `tensor` of the shape as data, except for dimension 0 which
      has size `k`, the number of segments specified via `num_segments` or
      inferred for the last element in `segments_ids`.
docstring_summary: r"""Computes the sum along sparse segments of a tensor divided by the sqrt(N).
docstring_tokens: r Computes the sum along sparse segments of a tensor divided by the sqrt ( N ) .
function: def sparse_segment_sqrt_n(data,
                            indices,
                            segment_ids,
                            name=None,
                            num_segments=None):
    r"""Computes the sum along sparse segments of a tensor divided by the sqrt(N).
  
    `N` is the size of the segment being reduced.
  
    Args:
      data: A `Tensor` with data that will be assembled in the output.
      indices: A 1-D `Tensor` with indices into `data`. Has same rank as
        `segment_ids`.
      segment_ids: A 1-D `Tensor` with indices into the output `Tensor`. Values
        should be sorted and can be repeated.
      name: A name for the operation (optional).
      num_segments: An optional int32 scalar. Indicates the size of the output
        `Tensor`.
  
    Returns:
      A `tensor` of the shape as data, except for dimension 0 which
      has size `k`, the number of segments specified via `num_segments` or
      inferred for the last element in `segments_ids`.
    """
    if num_segments is not None:
      return gen_math_ops.sparse_segment_sqrt_n_with_num_segments(
          data=data,
          indices=indices,
          segment_ids=segment_ids,
          num_segments=num_segments,
          name=name)
    else:
      return gen_math_ops.sparse_segment_sqrt_n(
          data=data, indices=indices, segment_ids=segment_ids, name=name)
function_tokens: def sparse_segment_sqrt_n ( data , indices , segment_ids , name = None , num_segments = None ) : if num_segments is not None : return gen_math_ops . sparse_segment_sqrt_n_with_num_segments ( data = data , indices = indices , segment_ids = segment_ids , num_segments = num_segments , name = name ) else : return gen_math_ops . sparse_segment_sqrt_n ( data = data , indices = indices , segment_ids = segment_ids , name = name )