wehub-resource-sync
167 lines
5.1 KiB
Python
167 lines
5.1 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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from utils import dygraph_guard, static_guard
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import paddle
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class TestRepeatBase(unittest.TestCase):
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def setUp(self):
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self.x = paddle.to_tensor([1, 2, 3])
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self.repeats = 3
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self.expected = np.tile(self.x.numpy(), self.repeats)
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def test_dygraph(self):
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with dygraph_guard():
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result = self.x.repeat(self.repeats)
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np.testing.assert_array_equal(result.numpy(), self.expected)
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def test_static(self):
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with (
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static_guard(),
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paddle.static.program_guard(
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paddle.static.Program(), paddle.static.Program()
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),
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):
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x = paddle.to_tensor(self.x.numpy())
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result = x.repeat(self.repeats)
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place = paddle.CPUPlace()
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exe = paddle.static.Executor(place)
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(result_np,) = exe.run(fetch_list=[result])
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np.testing.assert_array_equal(result_np, self.expected)
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class TestRepeat1DList(TestRepeatBase):
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def setUp(self):
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self.x = paddle.to_tensor([1, 2, 3])
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self.repeats = [2, 1, 3]
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self.expected = np.tile(self.x.numpy(), self.repeats)
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class TestRepeatEmptyTensor(TestRepeatBase):
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def setUp(self):
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self.x = paddle.to_tensor([])
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self.repeats = 3
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self.expected = np.tile(self.x.numpy(), self.repeats)
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class TestRepeatZeroRepeats(TestRepeatBase):
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def setUp(self):
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self.x = paddle.to_tensor([1, 2, 3])
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self.repeats = 0
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self.expected = np.tile(self.x.numpy(), self.repeats)
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class TestRepeatZeroRepeatsList(TestRepeatBase):
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def setUp(self):
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self.x = paddle.to_tensor([1, 2, 3])
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self.repeats = [0, 1, 0]
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self.expected = np.tile(self.x.numpy(), self.repeats)
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class TestRepeatFloat32(TestRepeatBase):
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def setUp(self):
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self.x = paddle.to_tensor([1.5, 2.5, 3.5], dtype='float32')
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self.repeats = 2
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self.expected = np.tile(self.x.numpy(), self.repeats)
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class TestRepeatFloat64(TestRepeatBase):
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def setUp(self):
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self.x = paddle.to_tensor([1.5, 2.5, 3.5], dtype='float64')
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self.repeats = 2
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self.expected = np.tile(self.x.numpy(), self.repeats)
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class TestRepeatInt32(TestRepeatBase):
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def setUp(self):
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self.x = paddle.to_tensor([1, 2, 3], dtype='int32')
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self.repeats = 2
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self.expected = np.tile(self.x.numpy(), self.repeats)
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class TestRepeatInt64(TestRepeatBase):
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def setUp(self):
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self.x = paddle.to_tensor([1, 2, 3], dtype='int64')
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self.repeats = 2
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self.expected = np.tile(self.x.numpy(), self.repeats)
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class TestRepeatBool(TestRepeatBase):
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def setUp(self):
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self.x = paddle.to_tensor([True, False, True])
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self.repeats = 2
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self.expected = np.tile(self.x.numpy(), self.repeats)
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class TestRepeatComplex(TestRepeatBase):
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def setUp(self):
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self.x = paddle.to_tensor([1 + 2j, 3 + 4j, 5 + 6j], dtype='complex64')
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self.repeats = 2
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self.expected = np.tile(self.x.numpy(), self.repeats)
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class TestRepeatSingleElement(TestRepeatBase):
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def setUp(self):
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self.x = paddle.to_tensor([42])
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self.repeats = 5
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self.expected = np.tile(self.x.numpy(), self.repeats)
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class TestRepeatLargeRepeats(TestRepeatBase):
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def setUp(self):
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self.x = paddle.to_tensor([1, 2])
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self.repeats = 1000
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self.expected = np.tile(self.x.numpy(), self.repeats)
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class TestRepeatAPIEdgeCases(unittest.TestCase):
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def test_repeat_negative_repeats(self):
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x = paddle.to_tensor([1, 2, 3])
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with self.assertRaises(ValueError):
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x.repeat(-1)
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def test_repeat_no_repeats(self):
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x = paddle.to_tensor([1, 2, 3])
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with self.assertRaises(TypeError):
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x.repeat()
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class TestRepeatVariableArgs(unittest.TestCase):
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def test_1d_variable_args(self):
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x = paddle.to_tensor([1, 2, 3])
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result = x.repeat(3)
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expected = np.tile(x.numpy(), 3)
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np.testing.assert_array_equal(result.numpy(), expected)
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def test_2d_variable_args(self):
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x = paddle.to_tensor([[1, 2], [3, 4]])
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result = x.repeat(2, 3)
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expected = np.tile(x.numpy(), (2, 3))
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np.testing.assert_array_equal(result.numpy(), expected)
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def test_3d_variable_args(self):
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x = paddle.to_tensor([[[1, 2], [3, 4]]])
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result = x.repeat(2, 1, 3)
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expected = np.tile(x.numpy(), (2, 1, 3))
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np.testing.assert_array_equal(result.numpy(), expected)
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if __name__ == "__main__":
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unittest.main()
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