Source code for mars.tensor.arithmetic.cbrt

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 1999-2021 Alibaba Group Holding Ltd.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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import numpy as np

from ... import opcodes as OperandDef
from ..utils import infer_dtype
from .core import TensorUnaryOp
from .utils import arithmetic_operand

class TensorCbrt(TensorUnaryOp):
    _op_type_ = OperandDef.CBRT
    _func_name = "cbrt"

[docs]@infer_dtype(np.cbrt) 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)