Source code for mars.tensor.arithmetic.rint

#!/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 TensorRint(TensorUnaryOp):
    _op_type_ = OperandDef.RINT
    _func_name = "rint"

[docs]@infer_dtype(np.rint) def rint(x, out=None, where=None, **kwargs): """ Round elements of the tensor to the nearest integer. 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 ------- out : Tensor or scalar Output array is same shape and type as `x`. See Also -------- ceil, floor, trunc Examples -------- >>> import mars.tensor as mt >>> a = mt.array([-1.7, -1.5, -0.2, 0.2, 1.5, 1.7, 2.0]) >>> mt.rint(a).execute() array([-2., -2., -0., 0., 2., 2., 2.]) """ op = TensorRint(**kwargs) return op(x, out=out, where=where)