wehub-resource-sync
80 lines
2.4 KiB
Python
80 lines
2.4 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 TestIsFloatPoint_Compatibility(unittest.TestCase):
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def setUp(self):
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np.random.seed(123)
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self.test_cases = [
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{'shape': [3, 4], 'dtype': 'float32'},
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{'shape': [5], 'dtype': 'float64'},
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{'shape': [2, 3, 4], 'dtype': 'int32'},
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]
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self.init_data()
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def init_data(self):
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self.data = []
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for case in self.test_cases:
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shape = case['shape']
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dtype = case['dtype']
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np_data = np.random.rand(*shape).astype(dtype)
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expected_result = 'float' in dtype
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self.data.append(
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{
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'np_data': np_data,
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'dtype': dtype,
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'shape': shape,
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'expected': expected_result,
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}
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)
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def test_dygraph_Compatibility(self):
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paddle.disable_static()
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for case in self.data:
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np_data = case['np_data']
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tensor = paddle.to_tensor(np_data)
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result_x = paddle.is_floating_point(x=tensor)
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result_input = paddle.is_floating_point(input=tensor)
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np.testing.assert_array_equal(result_x, result_input)
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np.testing.assert_array_equal(result_x, case['expected'])
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paddle.enable_static()
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def test_static_Compatibility(self):
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paddle.enable_static()
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for case in self.data:
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np_data = case['np_data']
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tensor = paddle.to_tensor(np_data)
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result_x = paddle.is_floating_point(x=tensor)
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result_input = paddle.is_floating_point(input=tensor)
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np.testing.assert_array_equal(result_x, result_input)
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np.testing.assert_array_equal(result_x, case['expected'])
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if __name__ == '__main__':
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unittest.main()
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