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 16import numpy as np 17 18import mindspore.context as context 19import mindspore.nn as nn 20from mindspore import Tensor 21from mindspore.common import dtype as mstype 22from mindspore.ops import composite as C 23 24context.set_context(mode=context.GRAPH_MODE, device_target="GPU") 25 26 27class Net(nn.Cell): 28 def __init__(self, shape, seed=0): 29 super(Net, self).__init__() 30 self.shape = shape 31 self.seed = seed 32 33 def construct(self, mean, stddev): 34 return C.normal(self.shape, mean, stddev, self.seed) 35 36 37def test_net_1D(): 38 seed = 10 39 shape = (3, 2, 4) 40 mean = 1.0 41 stddev = 1.0 42 net = Net(shape, seed) 43 tmean, tstddev = Tensor(mean, mstype.float32), Tensor(stddev, mstype.float32) 44 output = net(tmean, tstddev) 45 assert output.shape == (3, 2, 4) 46 47 48def test_net_ND(): 49 seed = 10 50 shape = (3, 1, 2) 51 mean = np.array([[[1], [2]], [[3], [4]], [[5], [6]]]).astype(np.float32) 52 stddev = np.array([1.0]).astype(np.float32) 53 net = Net(shape, seed) 54 tmean, tstddev = Tensor(mean, mstype.float32), Tensor(stddev, mstype.float32) 55 output = net(tmean, tstddev) 56 assert output.shape == (3, 2, 2) 57