code: def cbrt(x, out=None, where=None, **kwargs):
      """
      Return the cube-root of an tensor, element-wise.
  
      Parameters
      ----------
      x : array_like
          The values whose cube-roots are required.
      out : Tensor, None, or tuple of Tensor and None, optional
          A location into which the result is stored. If provided, it must have
          a shape that the inputs broadcast to. If not provided or `None`,
          a freshly-allocated tensor is returned. A tuple (possible only as a
          keyword argument) must have length equal to the number of outputs.
      where : array_like, optional
          Values of True indicate to calculate the ufunc at that position, values
          of False indicate to leave the value in the output alone.
      **kwargs
  
      Returns
      -------
      y : Tensor
          An tensor of the same shape as `x`, containing the cube
          cube-root of each element in `x`.
          If `out` was provided, `y` is a reference to it.
  
  
      Examples
      --------
      >>> import mars.tensor as mt
  
      >>> mt.cbrt([1,8,27]).execute()
      array([ 1.,  2.,  3.])
      """
      op = TensorCbrt(**kwargs)
      return op(x, out=out, where=where)
  
file_path: mars/mars/tensor/arithmetic/cbrt.py
imports: import numpy
  from ...None import opcodes
  from ..utils import infer_dtype
  from .core import TensorUnaryOp
  from .utils import arithmetic_operand
label_desc: Use image node_id 1 for calling a global function with example usage: cbrt(x, out, where) and returns: op