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171 lines
4.0 KiB
171 lines
4.0 KiB
# Copyright 2020 Huawei Technologies Co., Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ============================================================================
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""" test enumerate"""
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import mindspore.nn as nn
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from mindspore import Tensor
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from mindspore import context
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context.set_context(mode=context.GRAPH_MODE)
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def test_list_index_1D():
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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def construct(self):
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list_ = [[1], [2, 2], [3, 3, 3]]
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list_[0] = [100]
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return list_
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net = Net()
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out = net()
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assert out[0] == [100]
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assert out[1] == [2, 2]
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assert out[2] == [3, 3, 3]
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def test_list_neg_index_1D():
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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def construct(self):
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list_ = [[1], [2, 2], [3, 3, 3]]
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list_[-3] = [100]
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return list_
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net = Net()
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out = net()
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assert out[0] == [100]
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assert out[1] == [2, 2]
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assert out[2] == [3, 3, 3]
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def test_list_index_2D():
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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def construct(self):
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list_ = [[1], [2, 2], [3, 3, 3]]
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list_[1][0] = 200
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list_[1][1] = 201
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return list_
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net = Net()
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out = net()
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assert out[0] == [1]
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assert out[1] == [200, 201]
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assert out[2] == [3, 3, 3]
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def test_list_neg_index_2D():
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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def construct(self):
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list_ = [[1], [2, 2], [3, 3, 3]]
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list_[1][-2] = 200
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list_[1][-1] = 201
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return list_
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net = Net()
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out = net()
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assert out[0] == [1]
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assert out[1] == [200, 201]
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assert out[2] == [3, 3, 3]
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def test_list_index_3D():
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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def construct(self):
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list_ = [[1], [2, 2], [[3, 3, 3]]]
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list_[2][0][0] = 300
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list_[2][0][1] = 301
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list_[2][0][2] = 302
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return list_
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net = Net()
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out = net()
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assert out[0] == [1]
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assert out[1] == [2, 2]
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assert out[2] == [[300, 301, 302]]
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def test_list_neg_index_3D():
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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def construct(self):
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list_ = [[1], [2, 2], [[3, 3, 3]]]
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list_[2][0][-3] = 300
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list_[2][0][-2] = 301
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list_[2][0][-1] = 302
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return list_
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net = Net()
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out = net()
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assert out[0] == [1]
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assert out[1] == [2, 2]
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assert out[2] == [[300, 301, 302]]
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def test_list_index_1D_parameter():
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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def construct(self, x):
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list_ = [x]
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list_[0] = 100
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return list_
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net = Net()
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net(Tensor(0))
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def test_list_index_2D_parameter():
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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def construct(self, x):
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list_ = [[x, x]]
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list_[0][0] = 100
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return list_
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net = Net()
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net(Tensor(0))
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def test_list_index_3D_parameter():
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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def construct(self, x):
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list_ = [[[x, x]]]
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list_[0][0][0] = 100
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return list_
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net = Net()
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net(Tensor(0))
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