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- # -*- coding: utf-8 -*-
- # MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
- #
- # Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
- #
- # Unless required by applicable law or agreed to in writing,
- # software distributed under the License is distributed on an
- # "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- import numpy as np
-
- import megengine as mge
- from megengine.module import LeakyReLU
-
-
- def test_leaky_relu():
- data = np.array([-8, -12, 6, 10]).astype(np.float32)
- negative_slope = 0.1
-
- leaky_relu = LeakyReLU(negative_slope)
- output = leaky_relu(mge.tensor(data))
-
- np_output = np.maximum(0, data) + negative_slope * np.minimum(0, data)
- np.testing.assert_equal(output.numpy(), np_output)
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