wehub-resource-sync
96 lines
2.8 KiB
Python
96 lines
2.8 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 paddle
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DELTA = 0.00001
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class TestIsTensorApi(unittest.TestCase):
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def setUp(self):
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paddle.disable_static()
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def tearDown(self):
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paddle.enable_static()
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def test_is_tensor_real(self, dtype="float32"):
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"""Test is_tensor api with a real tensor"""
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x = paddle.rand([3, 2, 4], dtype=dtype)
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self.assertTrue(paddle.is_tensor(x))
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def test_is_tensor_list(self, dtype="float32"):
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"""Test is_tensor api with a list"""
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x = [1, 2, 3]
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self.assertFalse(paddle.is_tensor(x))
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def test_is_tensor_number(self, dtype="float32"):
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"""Test is_tensor api with a number"""
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x = 5
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self.assertFalse(paddle.is_tensor(x))
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class TestIsTensorStatic(unittest.TestCase):
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def setUp(self):
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paddle.enable_static()
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def tearDown(self):
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paddle.disable_static()
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def test_is_tensor(self):
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x = paddle.rand([3, 2, 4], dtype='float32')
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self.assertTrue(paddle.is_tensor(x))
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def test_is_tensor_array(self):
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x = paddle.tensor.create_array('float32')
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self.assertTrue(paddle.is_tensor(x))
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class TestIsTensorCompatibility(unittest.TestCase):
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def setUp(self):
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self.data = []
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self.data.append({'data': paddle.rand([3, 2, 4]), 'expected': True})
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self.data.append({'data': [1, 2, 3], 'expected': False})
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self.data.append({'data': 5, 'expected': False})
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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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data = case['data']
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result_x = paddle.is_tensor(x=data)
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result_obj = paddle.is_tensor(obj=data)
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self.assertEqual(result_x, result_obj)
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self.assertEqual(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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data = case['data']
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result_x = paddle.is_tensor(x=data)
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result_obj = paddle.is_tensor(obj=data)
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self.assertEqual(result_x, result_obj)
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self.assertEqual(result_x, case['expected'])
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if __name__ == '__main__':
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unittest.main()
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