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 Flatten """ 16import numpy as np 17 18import mindspore.nn as nn 19from mindspore import Tensor 20from mindspore.ops import operations as P 21from ..ut_filter import non_graph_engine 22 23 24class Net(nn.Cell): 25 def __init__(self, 26 ): 27 super(Net, self).__init__() 28 self.flatten = P.Flatten() 29 30 def construct(self, input_x): 31 return self.flatten(input_x) 32 33 34@non_graph_engine 35def test_compile(): 36 net = Net() 37 input_data = Tensor(np.ones([1, 2, 4, 4], np.float32)) 38 # enable it when staging function is ready 39 output = net(input_data) 40 print(output.asnumpy()) 41