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- # Copyright 2020 Huawei Technologies Co., Ltd
- #
- # Licensed under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License.
- # You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
- # ============================================================================
- """ test_net_infer """
- import numpy as np
-
- import mindspore.nn as nn
- from mindspore import Tensor
-
-
- class Net(nn.Cell):
- """ Net definition """
- def __init__(self):
- super(Net, self).__init__()
- self.conv = nn.Conv2d(3, 64, 3, has_bias=False, weight_init='normal')
- self.bn = nn.BatchNorm2d(64)
- self.fc = nn.Dense(64, 10)
- self.relu = nn.ReLU()
- self.flatten = nn.Flatten()
-
- def construct(self, x):
- x = self.conv(x)
- x = self.relu(x)
- x = self.flatten(x)
- out = self.fc(x)
- return out
-
-
- def test_net_infer():
- """ test_net_infer """
- Tensor(np.random.randint(0, 255, [1, 3, 224, 224]))
- Net()
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