#!/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 TensorExp2(TensorUnaryOp): _op_type_ = OperandDef.EXP2 _func_name = 'exp2' [docs]@infer_dtype(np.exp2) def exp2(x, out=None, where=None, **kwargs): """ Calculate `2**p` for all `p` in the input tensor. Parameters ---------- x : array_like Input values. 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 Element-wise 2 to the power `x`. See Also -------- power Examples -------- >>> import mars.tensor as mt >>> mt.exp2([2, 3]).execute() array([ 4., 8.]) """ op = TensorExp2(**kwargs) return op(x, out=out, where=where)