#!/usr/bin/env python # -*- coding: utf-8 -*- # Copyright 1999-2020 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 # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # 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 @arithmetic_operand(sparse_mode='unary') class TensorPositive(TensorUnaryOp): _op_type_ = OperandDef.POSITIVE _func_name = 'positive' [docs]@infer_dtype(np.positive) def positive(x, out=None, where=None, **kwargs): """ Numerical positive, element-wise. Parameters ---------- x : array_like or scalar Input tensor. Returns ------- y : Tensor or scalar Returned array or scalar: `y = +x`. """ op = TensorPositive(**kwargs) return op(x, out=out, where=where)