# Copyright 2021 Huawei Technologies Co., Ltd # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================ """ test flatten""" import pytest import mindspore.nn as nn import mindspore.common.dtype as mstype from mindspore import Tensor from mindspore import context context.set_context(mode=context.GRAPH_MODE) def test_flatten(): class Net(nn.Cell): def __init__(self): super(Net, self).__init__() self.value = Tensor([[1, 2, 3], [4, 5, 6]], dtype=mstype.float32) def construct(self): return self.value.flatten() net = Net() net() def test_flatten_1(): class Net(nn.Cell): def __init__(self): super(Net, self).__init__() self.value = Tensor([[1, 2, 3], [4, 5, 6]], dtype=mstype.float32) def construct(self): return self.value.flatten(order='F') net = Net() net() def test_flatten_error(): class Net(nn.Cell): def __init__(self): super(Net, self).__init__() self.value = Tensor([[1, 2, 3], [4, 5, 6]], dtype=mstype.float32) def construct(self): return self.value.flatten(order='X') net = Net() with pytest.raises(ValueError): net() def test_flatten_error_1(): class Net(nn.Cell): def __init__(self): super(Net, self).__init__() self.value = Tensor([[1, 2, 3], [4, 5, 6]], dtype=mstype.float32) def construct(self): return self.value.flatten(order=123) net = Net() with pytest.raises(TypeError): net()