wehub-resource-sync
72 lines
2.7 KiB
Python
72 lines
2.7 KiB
Python
# Copyright (c) 2025 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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import paddle
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class TestUpsamplingBilinear2D_Compatibility(unittest.TestCase):
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def test_upsamplingbilinear2d(self):
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with paddle.base.dygraph.guard():
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input = paddle.rand(shape=(2, 3, 6, 10)).astype("float32")
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upsample_out = paddle.nn.UpsamplingBilinear2D(size=[12, 12])
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output = upsample_out(x=input)
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out_np = output.numpy()
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# test func alias
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upsample_out = paddle.nn.UpsamplingBilinear2d(size=[12, 12])
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output = upsample_out(x=input)
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np.testing.assert_allclose(out_np, output.numpy())
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# test @param_one_alias(["x", "input"])
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upsample_out = paddle.nn.UpsamplingBilinear2D(size=[12, 12])
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output = upsample_out(input=input)
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np.testing.assert_allclose(out_np, output.numpy())
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# test both
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upsample_out = paddle.nn.UpsamplingBilinear2d(size=[12, 12])
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output = upsample_out(input=input)
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np.testing.assert_allclose(out_np, output.numpy())
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class TestUpsamplingNearest2D_Compatibility(unittest.TestCase):
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def test_upsamplingnearest2d(self):
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with paddle.base.dygraph.guard():
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input = paddle.rand(shape=(2, 3, 6, 10)).astype("float32")
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upsample_out = paddle.nn.UpsamplingNearest2D(size=[12, 12])
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output = upsample_out(x=input)
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out_np = output.numpy()
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# test func alias
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upsample_out = paddle.nn.UpsamplingNearest2d(size=[12, 12])
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output = upsample_out(x=input)
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np.testing.assert_allclose(out_np, output.numpy())
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# test @param_one_alias(["x", "input"])
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upsample_out = paddle.nn.UpsamplingNearest2D(size=[12, 12])
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output = upsample_out(input=input)
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np.testing.assert_allclose(out_np, output.numpy())
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# test both
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upsample_out = paddle.nn.UpsamplingNearest2d(size=[12, 12])
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output = upsample_out(input=input)
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np.testing.assert_allclose(out_np, output.numpy())
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if __name__ == '__main__':
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unittest.main()
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