forked from mindspore-Ecosystem/mindspore
38 lines
1.2 KiB
Python
38 lines
1.2 KiB
Python
# Copyright 2020 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 norm """
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import numpy as np
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import mindspore.nn as nn
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from mindspore import Tensor
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from mindspore.common.api import _executor
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from ..ut_filter import non_graph_engine
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class NormNet(nn.Cell):
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def __init__(self):
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super(NormNet, self).__init__()
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self.norm = nn.Norm()
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def construct(self, x):
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return self.norm(x)
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@non_graph_engine
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def test_compile_norm():
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net = NormNet()
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x = Tensor(np.array([2.0, 1.0]))
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_executor.compile(net, x)
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