mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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110 lines
4.0 KiB
Python
110 lines
4.0 KiB
Python
"""
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# 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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"""
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import unittest
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import numpy as np
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import paddle
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from fastdeploy.output.pooler import PoolerOutput, PoolingSequenceGroupOutput
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class TestPoolingSequenceGroupOutput(unittest.TestCase):
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def test_get_data_nbytes_tensor(self):
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tensor = paddle.to_tensor([[1, 2], [3, 4]], dtype="float32")
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output = PoolingSequenceGroupOutput(data=tensor)
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expected = tensor.numel() * tensor.element_size()
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self.assertEqual(output.get_data_nbytes(), expected)
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def test_get_data_nbytes_numpy(self):
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arr = np.ones((2, 3), dtype=np.float32)
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output = PoolingSequenceGroupOutput(data=arr)
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self.assertEqual(output.get_data_nbytes(), arr.nbytes)
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def test_get_data_nbytes_none(self):
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output = PoolingSequenceGroupOutput(data=None)
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self.assertEqual(output.get_data_nbytes(), 0)
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def test_repr(self):
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output = PoolingSequenceGroupOutput(data=123)
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self.assertIn("PoolingSequenceGroupOutput(data=", repr(output))
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def test_eq_same(self):
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output1 = PoolingSequenceGroupOutput(data=5)
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output2 = PoolingSequenceGroupOutput(data=5)
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self.assertTrue(output1 == output2)
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def test_eq_diff(self):
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output1 = PoolingSequenceGroupOutput(data=5)
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output2 = PoolingSequenceGroupOutput(data=6)
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self.assertFalse(output1 == output2)
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def test_eq_not_implemented(self):
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output = PoolingSequenceGroupOutput(data=5)
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with self.assertRaises(NotImplementedError):
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output == 123
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class TestPoolerOutput(unittest.TestCase):
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def test_get_data_nbytes_empty(self):
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pooler = PoolerOutput(outputs=[])
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self.assertEqual(pooler.get_data_nbytes(), 0)
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def test_get_data_nbytes_multiple(self):
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outputs = [
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PoolingSequenceGroupOutput(data=paddle.to_tensor([1, 2])),
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PoolingSequenceGroupOutput(data=np.ones(3, dtype=np.float32)),
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]
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pooler = PoolerOutput(outputs=outputs)
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expected = outputs[0].get_data_nbytes() + outputs[1].get_data_nbytes()
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self.assertEqual(pooler.get_data_nbytes(), expected)
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def test_len_and_index(self):
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outputs = [PoolingSequenceGroupOutput(data=1), PoolingSequenceGroupOutput(data=2)]
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pooler = PoolerOutput(outputs=outputs)
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self.assertEqual(len(pooler), 2)
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self.assertIs(pooler[0], outputs[0])
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self.assertIs(pooler[1], outputs[1])
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def test_setitem(self):
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outputs = [PoolingSequenceGroupOutput(data=1), PoolingSequenceGroupOutput(data=2)]
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pooler = PoolerOutput(outputs=outputs)
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new_output = PoolingSequenceGroupOutput(data=999)
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pooler[1] = new_output
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self.assertIs(pooler[1], new_output)
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def test_eq_same(self):
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outputs1 = [PoolingSequenceGroupOutput(data=1)]
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outputs2 = [PoolingSequenceGroupOutput(data=1)]
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pooler1 = PoolerOutput(outputs=outputs1)
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pooler2 = PoolerOutput(outputs=outputs2)
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self.assertTrue(pooler1 == pooler2)
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def test_eq_diff(self):
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pooler1 = PoolerOutput(outputs=[PoolingSequenceGroupOutput(data=1)])
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pooler2 = PoolerOutput(outputs=[PoolingSequenceGroupOutput(data=2)])
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self.assertFalse(pooler1 == pooler2)
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def test_eq_type_mismatch(self):
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pooler = PoolerOutput(outputs=[PoolingSequenceGroupOutput(data=1)])
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self.assertFalse(pooler == 123)
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if __name__ == "__main__":
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unittest.main()
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