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""" 16test softmax api 17""" 18import numpy as np 19 20import mindspore.nn as nn 21from mindspore import Tensor 22 23 24class Net(nn.Cell): 25 def __init__(self, dim): 26 super(Net, self).__init__() 27 self.softmax = nn.Softmax(dim) 28 29 def construct(self, input_x): 30 return self.softmax(input_x) 31 32 33def test_compile(): 34 net = Net(0) 35 input_data = Tensor(np.array([[1.2, 2.1], [2.2, 3.2]]).astype(np.float32)) 36 output = net(input_data) 37 print(output.asnumpy()) 38