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38 lines
1.2 KiB
38 lines
1.2 KiB
# 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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"""ut for batchnorm layer"""
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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 ..ut_filter import non_graph_engine
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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.bn = nn.BatchNorm2d(num_features=3, eps=1e-5, momentum=0.1)
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def construct(self, input_x):
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return self.bn(input_x)
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@non_graph_engine
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def test_compile():
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net = Net()
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input_data = Tensor(np.ones([1, 3, 4, 4]).astype(np.float32))
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output = net(input_data)
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print(input_data)
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print(output.asnumpy())
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