wehub-resource-sync
202 lines
6.4 KiB
Python
202 lines
6.4 KiB
Python
# Copyright (c) 2026 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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# [AUTO-GENERATED] Test file for paddle.tensor.search operations
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# 覆盖模块: paddle/tensor/search.py
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# Uncovered lines: argmax, argmin, argsort, topk, where, index_select,
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# masked_select, nonzero
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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 TestArgmax(unittest.TestCase):
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"""测试 argmax 函数
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Test argmax function"""
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def test_argmax_default(self):
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"""测试默认 argmax（展平后最大值索引）
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Test default argmax (flattened)"""
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x = paddle.to_tensor([[1, 3, 2], [4, 0, 5]])
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result = paddle.argmax(x)
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self.assertEqual(result.item(), 5)
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def test_argmax_axis(self):
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"""测试指定轴 argmax
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Test argmax with axis"""
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x = paddle.to_tensor([[1, 3, 2], [4, 0, 5]])
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result = paddle.argmax(x, axis=1)
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np.testing.assert_array_equal(result.numpy(), np.array([1, 2]))
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def test_argmax_keepdim(self):
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"""测试 keepdim 的 argmax
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Test argmax with keepdim"""
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x = paddle.randn([3, 4])
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result = paddle.argmax(x, axis=1, keepdim=True)
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self.assertEqual(result.shape, [3, 1])
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class TestArgmin(unittest.TestCase):
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"""测试 argmin 函数
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Test argmin function"""
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def test_argmin_default(self):
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"""测试默认 argmin
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Test default argmin"""
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x = paddle.to_tensor([[1, 3, 2], [4, 0, 5]])
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result = paddle.argmin(x)
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self.assertEqual(result.item(), 4)
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def test_argmin_axis(self):
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"""测试指定轴 argmin
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Test argmin with axis"""
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x = paddle.to_tensor([[1, 3, 2], [4, 0, 5]])
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result = paddle.argmin(x, axis=1)
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np.testing.assert_array_equal(result.numpy(), np.array([0, 1]))
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class TestArgsort(unittest.TestCase):
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"""测试 argsort 函数
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Test argsort function"""
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def test_argsort_ascending(self):
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"""测试升序 argsort
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Test ascending argsort"""
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x = paddle.to_tensor([3, 1, 2])
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result = paddle.argsort(x)
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np.testing.assert_array_equal(result.numpy(), np.array([1, 2, 0]))
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def test_argsort_descending(self):
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"""测试降序 argsort
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Test descending argsort"""
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x = paddle.to_tensor([3, 1, 2])
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result = paddle.argsort(x, descending=True)
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np.testing.assert_array_equal(result.numpy(), np.array([0, 2, 1]))
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def test_argsort_axis(self):
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"""测试指定轴 argsort
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Test argsort with axis"""
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x = paddle.randn([3, 4])
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result = paddle.argsort(x, axis=0)
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self.assertEqual(result.shape, [3, 4])
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class TestTopk(unittest.TestCase):
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"""测试 topk 函数
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Test topk function"""
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def test_topk_basic(self):
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"""测试基本 topk
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Test basic topk"""
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x = paddle.to_tensor([3, 1, 4, 1, 5])
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values, indices = paddle.topk(x, k=2)
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np.testing.assert_array_equal(values.numpy(), np.array([5, 4]))
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def test_topk_axis(self):
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"""测试指定轴 topk
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Test topk with axis"""
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x = paddle.randn([3, 4])
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values, indices = paddle.topk(x, k=2, axis=1)
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self.assertEqual(values.shape, [3, 2])
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def test_topk_largest_false(self):
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"""测试最小 topk
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Test smallest topk"""
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x = paddle.to_tensor([3, 1, 4, 1, 5])
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values, indices = paddle.topk(x, k=2, largest=False)
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np.testing.assert_array_equal(values.numpy(), np.array([1, 1]))
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class TestWhere(unittest.TestCase):
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"""测试 where 函数
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Test where function"""
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def test_where_basic(self):
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"""测试基本 where
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Test basic where"""
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x = paddle.to_tensor([1.0, -2.0, 3.0, -4.0])
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result = paddle.where(x > 0, x, paddle.zeros_like(x))
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expected = np.array([1.0, 0.0, 3.0, 0.0])
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np.testing.assert_allclose(result.numpy(), expected, atol=1e-6)
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def test_where_condition_only(self):
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"""测试仅条件 where（返回非零索引）
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Test where with condition only"""
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x = paddle.to_tensor([1, 0, 3, 0, 5])
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result = paddle.nonzero(x)
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self.assertIsNotNone(result)
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class TestIndexSelect(unittest.TestCase):
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"""测试 index_select 函数
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Test index_select function"""
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def test_index_select_basic(self):
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"""测试基本 index_select
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Test basic index_select"""
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x = paddle.randn([3, 4, 5])
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index = paddle.to_tensor([0, 2])
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result = paddle.index_select(x, index, axis=1)
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self.assertEqual(result.shape, [3, 2, 5])
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def test_index_select_axis0(self):
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"""测试 axis=0 的 index_select
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Test index_select on axis=0"""
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x = paddle.randn([5, 4])
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index = paddle.to_tensor([1, 3])
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result = paddle.index_select(x, index, axis=0)
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self.assertEqual(result.shape, [2, 4])
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class TestMaskedSelect(unittest.TestCase):
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"""测试 masked_select 函数
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Test masked_select function"""
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def test_masked_select_basic(self):
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"""测试基本 masked_select
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Test basic masked_select"""
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x = paddle.to_tensor([1.0, -2.0, 3.0, -4.0, 5.0])
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mask = x > 0
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result = paddle.masked_select(x, mask)
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expected = np.array([1.0, 3.0, 5.0])
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np.testing.assert_allclose(result.numpy(), expected, atol=1e-6)
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class TestNonzero(unittest.TestCase):
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"""测试 nonzero 函数
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Test nonzero function"""
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def test_nonzero_basic(self):
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"""测试基本 nonzero
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Test basic nonzero"""
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x = paddle.to_tensor([[0, 1], [2, 0]])
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result = paddle.nonzero(x)
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expected = np.array([[0, 1], [1, 0]])
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np.testing.assert_array_equal(result.numpy(), expected)
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def test_nonzero_1d(self):
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"""测试一维 nonzero
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Test 1D nonzero"""
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x = paddle.to_tensor([0, 1, 0, 2, 0])
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result = paddle.nonzero(x)
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expected = np.array([[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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