Source code for mars.tensor.arithmetic.absolute

#!/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.
# You may obtain a copy of the License at
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# See the License for the specific language governing permissions and
# limitations under the License.

import numpy as np

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

class TensorAbsolute(TensorUnaryOp):
    _op_type_ = OperandDef.ABSOLUTE
    _func_name = "absolute"

[docs]@infer_dtype(np.absolute) def absolute(x, out=None, where=None, **kwargs): r""" Calculate the absolute value element-wise. Parameters ---------- x : array_like Input tensor. 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 ------- absolute : Tensor An tensor containing the absolute value of each element in `x`. For complex input, ``a + ib``, the absolute value is :math:`\sqrt{ a^2 + b^2 }`. Examples -------- >>> import mars.tensor as mt >>> x = mt.array([-1.2, 1.2]) >>> mt.absolute(x).execute() array([ 1.2, 1.2]) >>> mt.absolute(1.2 + 1j).execute() 1.5620499351813308 """ op = TensorAbsolute(**kwargs) return op(x, out=out, where=where)