39 lines
1.4 KiB
Python
39 lines
1.4 KiB
Python
# Copyright 2022 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 pytest
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import numpy as np
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from mindspore import Tensor
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import mindspore.context as context
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from mindspore.common import dtype as mstype
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@pytest.mark.level0
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.env_onecard
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@pytest.mark.parametrize('mode', [context.GRAPH_MODE, context.PYNATIVE_MODE])
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def test_isnan_tensor_api_modes(mode):
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"""
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Feature: Test isnan tensor api.
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Description: Test isnan tensor api for Graph and PyNative modes.
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Expectation: The result match to the expect value.
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"""
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context.set_context(mode=mode, device_target="GPU")
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x = Tensor(np.array([np.log(-1), 1, np.log(0)]), mstype.float32)
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output = x.isnan()
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expected = np.array([True, False, False])
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np.testing.assert_array_equal(output.asnumpy(), expected)
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