52 lines
1.9 KiB
Python
52 lines
1.9 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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import numpy as np
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import pytest
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import mindspore.context as context
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import mindspore.nn as nn
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from mindspore import Tensor
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from mindspore.common import dtype as mstype
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from mindspore.ops import operations as P
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context.set_context(mode=context.PYNATIVE_MODE, device_target="Ascend")
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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.get_next = P.GetNext([mstype.float32], [(1, 1)], 1, "test")
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def construct(self, x1,):
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x = self.get_next()
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x = x + x1
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return x
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def test_pynative_synchronize_true():
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context.set_context(pynative_synchronize=True)
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with pytest.raises(RuntimeError) as execinfo:
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x1 = np.random.randn(1, 1).astype(np.float32)
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net = Net()
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output = net(Tensor(x1))
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print(output.asnumpy())
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assert "GetNext" in str(execinfo.value)
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def test_pynative_synchronize_false():
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context.set_context(pynative_synchronize=False)
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with pytest.raises(RuntimeError) as execinfo:
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x1 = np.random.randn(1, 1).astype(np.float32)
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net = Net()
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output = net(Tensor(x1))
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print(output.asnumpy())
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assert "Sync stream error" in str(execinfo.value)
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