parameters: (input_tensor, boundaries, name=None)
return_statement: return math_ops._bucketize(  # pylint: disable=protected-access
        input_tensor, boundaries=boundaries, name=name)
docstring: Bucketizes input_tensor by given boundaries.
  
    See bucketize_op.cc for more details.
  
    Args:
      input_tensor: A `Tensor` which will be bucketize.
      boundaries: A list of floats gives the boundaries. It has to be sorted.
      name: A name prefix for the returned tensors (optional).
  
    Returns:
      A `Tensor` with type int32 which indicates the corresponding bucket for
        each value in `input_tensor`.
  
    Raises:
      TypeError: If boundaries is not a list.
docstring_summary: Bucketizes input_tensor by given boundaries.
docstring_tokens: Bucketizes input_tensor by given boundaries .
function: def bucketize(input_tensor, boundaries, name=None):
    """Bucketizes input_tensor by given boundaries.
  
    See bucketize_op.cc for more details.
  
    Args:
      input_tensor: A `Tensor` which will be bucketize.
      boundaries: A list of floats gives the boundaries. It has to be sorted.
      name: A name prefix for the returned tensors (optional).
  
    Returns:
      A `Tensor` with type int32 which indicates the corresponding bucket for
        each value in `input_tensor`.
  
    Raises:
      TypeError: If boundaries is not a list.
    """
    return math_ops._bucketize(  # pylint: disable=protected-access
        input_tensor, boundaries=boundaries, name=name)
function_tokens: def bucketize ( input_tensor , boundaries , name = None ) : return math_ops . _bucketize ( # pylint: disable=protected-access input_tensor , boundaries = boundaries , name = name )