wehub-resource-sync
54 lines
1.4 KiB
Python
54 lines
1.4 KiB
Python
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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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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import unittest
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import numpy as np
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from dygraph_to_static_utils import (
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Dy2StTestBase,
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)
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import paddle
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def drop_path(x, training=False):
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if not training:
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return x
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else:
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return 2 * x
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class DropPath(paddle.nn.Layer):
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def __init__(self):
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super().__init__()
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def forward(self, x):
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return drop_path(x, self.training)
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class TestTrainEval(Dy2StTestBase):
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def test_train_and_eval(self):
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model = paddle.jit.to_static(DropPath())
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x = paddle.to_tensor([1, 2, 3]).astype("int64")
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eval_out = x.numpy()
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train_out = x.numpy() * 2
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model.train()
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np.testing.assert_allclose(model(x).numpy(), train_out, rtol=1e-05)
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model.eval()
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np.testing.assert_allclose(model(x).numpy(), eval_out, rtol=1e-05)
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if __name__ == "__main__":
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unittest.main()
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