Source code for mars.tensor.arithmetic.reciprocal

#!/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
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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 TensorReciprocal(TensorUnaryOp):
    _op_type_ = OperandDef.RECIPROCAL
    _func_name = "reciprocal"

[docs]@infer_dtype(np.reciprocal) def reciprocal(x, out=None, where=None, **kwargs): """ Return the reciprocal of the argument, element-wise. Calculates ``1/x``. 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 ------- y : Tensor Return tensor. Notes ----- .. note:: This function is not designed to work with integers. For integer arguments with absolute value larger than 1 the result is always zero because of the way Python handles integer division. For integer zero the result is an overflow. Examples -------- >>> import mars.tensor as mt >>> mt.reciprocal(2.).execute() 0.5 >>> mt.reciprocal([1, 2., 3.33]).execute() array([ 1. , 0.5 , 0.3003003]) """ op = TensorReciprocal(**kwargs) return op(x, out=out, where=where)