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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 use undefined var"""
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import numpy as np
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import pytest
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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_use_undefined_var():
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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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self.value = [11, 22, 33, 44]
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def construct(self, x):
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ret = x + c
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return ret
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net = Net()
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with pytest.raises(NameError) as err:
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net(Tensor(np.arange(4)))
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assert "The name 'c' is not defined" in str(err.value)
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def test_insert_undefined_var():
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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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self.value = [11, 22, 33, 44]
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def construct(self, x):
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c
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ret = x + x
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return ret
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net = Net()
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with pytest.raises(NameError) as err:
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net(Tensor(np.arange(4)))
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assert "The name 'c' is not defined" in str(err.value)
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def test_insert_undefined_var_compute():
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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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self.value = [11, 22, 33, 44]
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def construct(self, x):
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c + d
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ret = x + x
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return ret
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net = Net()
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with pytest.raises(NameError) as err:
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net(Tensor(np.arange(4)))
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assert "The name 'c' is not defined" in str(err.value)
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def test_insert_defined_var():
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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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self.value = [11, 22, 33, 44]
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def construct(self, x):
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x
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ret = x + x
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return ret
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net = Net()
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net(Tensor(np.arange(4)))
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def test_insert_defined_var_compute():
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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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self.value = [11, 22, 33, 44]
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def construct(self, x):
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x - x
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ret = x + x
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return ret
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net = Net()
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net(Tensor(np.arange(4)))
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