forked from huawei/mindspore2022
70 lines
2.0 KiB
Python
70 lines
2.0 KiB
Python
# 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 " \
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"within the construct() or @ms_function decorated function in 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 " \
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"within the construct() or @ms_function decorated function in graph mode." \
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in str(err.value)
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