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_mean """ 16import mindspore as ms 17from mindspore import nn 18from mindspore import context 19 20context.set_context(mode=context.GRAPH_MODE) 21 22 23def test_mean(): 24 class Net(nn.Cell): 25 def __init__(self): 26 super().__init__() 27 self.value = ms.Tensor([[1, 2, 3], [4, 5, 6]], dtype=ms.float32) 28 29 def construct(self): 30 return self.value.mean() 31 32 net = Net() 33 net() 34 35 36def test_mean_axis(): 37 class Net(nn.Cell): 38 def __init__(self): 39 super().__init__() 40 self.value = ms.Tensor([[1, 2, 3], [4, 5, 6]], dtype=ms.float32) 41 42 def construct(self): 43 return self.value.mean(axis=1) 44 45 net = Net() 46 net() 47 48 49def test_mean_parameter(): 50 class Net(nn.Cell): 51 def __init__(self): 52 super().__init__() 53 54 def construct(self, x): 55 return x.mean() 56 57 x = ms.Tensor([[1, 2, 3], [1, 2, 3]], dtype=ms.float32) 58 net = Net() 59 net(x) 60 61 62def test_mean_parameter_axis(): 63 class Net(nn.Cell): 64 def __init__(self): 65 super().__init__() 66 67 def construct(self, x): 68 return x.mean(axis=1) 69 70 x = ms.Tensor([[1, 2, 3], [1, 2, 3]], dtype=ms.float32) 71 net = Net() 72 net(x) 73