wehub-resource-sync
76 lines
2.7 KiB
Python
76 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 TestCompatSoftmax(unittest.TestCase):
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def _compare_with_origin(self, input_tensor, axis):
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softmax_compat = paddle.compat.nn.Softmax(dim=axis)
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softmax_origin = paddle.nn.Softmax(axis=axis)
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expected_res = softmax_origin(input_tensor).numpy()
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np.testing.assert_allclose(
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softmax_compat(input_tensor).numpy(),
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expected_res,
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rtol=1e-6,
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atol=1e-6,
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)
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def test_compare_with_origin(self):
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input_shape = (3, 4)
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input_tensor = paddle.randn(input_shape, dtype=paddle.float32)
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self._compare_with_origin(input_tensor, axis=0)
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self._compare_with_origin(input_tensor, axis=1)
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self._compare_with_origin(input_tensor, axis=-1)
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input_shape = (2, 3, 4)
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input_tensor = paddle.randn(input_shape, dtype=paddle.float64)
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self._compare_with_origin(input_tensor, axis=0)
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self._compare_with_origin(input_tensor, axis=1)
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self._compare_with_origin(input_tensor, axis=2)
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self._compare_with_origin(input_tensor, axis=-1)
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input_shape = (2, 3, 4, 5)
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input_tensor = paddle.randn(input_shape, dtype=paddle.float32)
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self._compare_with_origin(input_tensor, axis=1)
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self._compare_with_origin(input_tensor, axis=-2)
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input_tensor = paddle.randn((2, 3), dtype=paddle.float32)
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softmax_compat = paddle.compat.nn.Softmax()
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softmax_origin = paddle.nn.Softmax()
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expected_res = softmax_origin(input_tensor).numpy()
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np.testing.assert_allclose(
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softmax_compat(input_tensor).numpy(),
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expected_res,
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rtol=1e-6,
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atol=1e-6,
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)
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def test_error_handling(self):
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x = paddle.randn([3, 9, 5])
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msg_gt_1 = "paddle.compat.nn.Softmax() received unexpected keyword argument 'axis'. \nDid you mean to use paddle.nn.Softmax() instead?"
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with self.assertRaises(TypeError) as cm:
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softmax = paddle.compat.nn.Softmax(axis=1)
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self.assertEqual(str(cm.exception), msg_gt_1)
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if __name__ == "__main__":
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unittest.main()
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