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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 Activations """
- import numpy as np
-
- import mindspore.nn as nn
- from mindspore import Tensor
- from ..ut_filter import non_graph_engine
-
-
- class Net(nn.Cell):
- def __init__(self):
- super(Net, self).__init__()
- self.relu = nn.ReLU()
-
- def construct(self, input_x):
- return self.relu(input_x)
-
-
- @non_graph_engine
- def test_compile():
- net = Net()
- input_data = Tensor(np.random.rand(1, 3, 4, 4).astype(np.float32) - 0.5)
- output = net(input_data)
- print(input_data)
- print(output.asnumpy())
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