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# Copyright 2021 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_parse_numpy """ |
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import pytest |
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import numpy as np |
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from mindspore import nn |
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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_use_numpy_constant(): |
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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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ret = np.pi |
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return ret |
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net = Net() |
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output = net() |
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assert np.allclose(output, np.pi) |
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def test_use_numpy_method(): |
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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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ret = np.linspace(1, 10, 4) |
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return ret |
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net = Net() |
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with pytest.raises(NotImplementedError) as err: |
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net() |
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assert "MindSpore does not support to use the numpy methods in the function construct with the graph mode." \ |
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in str(err.value) |
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def test_use_numpy_module(): |
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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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ret = np.random.randint(0, 10, [1, 10]) |
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return ret |
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net = Net() |
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with pytest.raises(NotImplementedError) as err: |
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net() |
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assert "MindSpore does not support to use the numpy methods in the function construct with the graph mode." \ |
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in str(err.value) |