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 Activations """ 16import numpy as np 17 18import mindspore.nn as nn 19from mindspore import Tensor 20from ..ut_filter import non_graph_engine 21 22 23class Net(nn.Cell): 24 def __init__(self): 25 super(Net, self).__init__() 26 self.relu = nn.ReLU() 27 28 def construct(self, input_x): 29 return self.relu(input_x) 30 31 32@non_graph_engine 33def test_compile(): 34 net = Net() 35 input_data = Tensor(np.random.rand(1, 3, 4, 4).astype(np.float32) - 0.5) 36 output = net(input_data) 37 print(input_data) 38 print(output.asnumpy()) 39