1# Copyright 2020 Huawei Technologies Co., Ltd 2# 3# Licensed under the Apache License, Version 2.0 (the "License"); 4# you may not use this file except in compliance with the License. 5# You may obtain a copy of the License at 6# 7# http://www.apache.org/licenses/LICENSE-2.0 8# 9# Unless required by applicable law or agreed to in writing, software 10# distributed under the License is distributed on an "AS IS" BASIS, 11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12# See the License for the specific language governing permissions and 13# limitations under the License. 14# ============================================================================ 15""" test_unaryop """ 16import numpy as np 17 18import mindspore.nn as nn 19from mindspore import Tensor 20from mindspore import context 21 22context.set_context(mode=context.GRAPH_MODE) 23 24 25def test_scalar_usub(): 26 class Net(nn.Cell): 27 def __init__(self, x): 28 super(Net, self).__init__() 29 self.x = x 30 31 def construct(self): 32 ret = -self.x 33 return ret 34 35 net = Net(-2) 36 assert net() == 2 37 38 39def test_tensor_usub(): 40 class Net(nn.Cell): 41 def __init__(self): 42 super(Net, self).__init__() 43 44 def construct(self, x): 45 ret = -x 46 return ret 47 48 x = Tensor(np.ones([6, 8, 10], np.int32)) 49 net = Net() 50 net(x) 51 52 53def test_scalar_uadd(): 54 class Net(nn.Cell): 55 def __init__(self, x): 56 super(Net, self).__init__() 57 self.x = x 58 59 def construct(self): 60 ret = +self.x 61 return ret 62 63 net = Net(-2) 64 assert net() == -2 65