# Copyright (c) 2026 PaddlePaddle Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """ 张量数组操作单元测试 / Tensor Array Operations Unit Tests 测试目标 / Test Target: paddle.tensor.array 模块 (python/paddle/tensor/array.py, 覆盖率约69.5%) 覆盖的模块 / Covered Modules: - paddle.take: 从张量中取值 - paddle.put_along_axis: 沿轴放置值 - paddle.take_along_axis: 沿轴取值 - paddle.roll: 循环移位 作用 / Purpose: 覆盖张量数组操作的各种路径，补充对索引取值、沿轴操作等函数的测试。 """ import unittest import numpy as np import paddle paddle.disable_static() class TestTakeOp(unittest.TestCase): """测试paddle.take操作 / Test paddle.take operation""" def test_take_basic(self): """测试基本take操作 / Test basic take operation""" x = paddle.to_tensor(np.arange(12, dtype='float32').reshape(3, 4)) indices = paddle.to_tensor([0, 5, 11]) result = paddle.take(x, indices) expected = np.array([0, 5, 11], dtype='float32') np.testing.assert_array_equal(result.numpy(), expected) def test_take_1d(self): """测试1D张量的take / Test take on 1D tensor""" x = paddle.to_tensor(np.array([10, 20, 30, 40, 50], dtype='float32')) indices = paddle.to_tensor([2, 0, 4]) result = paddle.take(x, indices) np.testing.assert_array_equal(result.numpy(), np.array([30, 10, 50])) def test_take_int_input(self): """测试整数输入的take / Test take with int input""" x = paddle.to_tensor([1, 2, 3, 4, 5]) indices = paddle.to_tensor([0, 2, 4]) result = paddle.take(x, indices) self.assertEqual(result.shape, [3]) def test_take_mode_raise(self): """测试take的raise模式 / Test take raise mode""" x = paddle.to_tensor(np.arange(5, dtype='float32')) indices = paddle.to_tensor([0, 2]) result = paddle.take(x, indices, mode='raise') self.assertEqual(result.shape, [2]) def test_take_mode_wrap(self): """测试take的wrap模式 / Test take wrap mode""" x = paddle.to_tensor(np.arange(5, dtype='float32')) indices = paddle.to_tensor([0, 7]) result = paddle.take(x, indices, mode='wrap') self.assertEqual(result.shape, [2]) def test_take_mode_clip(self): """测试take的clip模式 / Test take clip mode""" x = paddle.to_tensor(np.arange(5, dtype='float32')) indices = paddle.to_tensor([0, 100]) result = paddle.take(x, indices, mode='clip') self.assertEqual(result.shape, [2]) self.assertAlmostEqual(result.numpy()[1], 4.0) class TestPutAlongAxisOp(unittest.TestCase): """测试paddle.put_along_axis操作 / Test paddle.put_along_axis operation""" def test_put_along_axis_basic(self): """测试基本put_along_axis / Test basic put_along_axis""" x = paddle.zeros([3, 4], dtype='float32') indices = paddle.to_tensor([[0, 1, 2]], dtype='int64') values = paddle.to_tensor([[10.0, 20.0, 30.0]]) result = paddle.put_along_axis(x, indices, values, axis=1) self.assertEqual(result.shape, [3, 4]) def test_put_along_axis_reduce_assign(self): """测试assign reduce模式 / Test assign reduce mode""" x = paddle.ones([3, 4], dtype='float32') indices = paddle.zeros([3, 2], dtype='int64') values = paddle.ones([3, 2]) result = paddle.put_along_axis( x, indices, values, axis=1, reduce='assign' ) self.assertEqual(result.shape, [3, 4]) def test_put_along_axis_axis0(self): """测试沿axis=0的put_along_axis / Test put_along_axis along axis=0""" x = paddle.zeros([4, 3], dtype='float32') indices = paddle.to_tensor([[0, 1, 2]], dtype='int64') values = paddle.ones([1, 3]) result = paddle.put_along_axis(x, indices, values, axis=0) self.assertEqual(result.shape, [4, 3]) class TestTakeAlongAxisOp(unittest.TestCase): """测试paddle.take_along_axis操作 / Test paddle.take_along_axis operation""" def test_take_along_axis_basic(self): """测试基本take_along_axis / Test basic take_along_axis""" x = paddle.to_tensor([[1, 2, 3], [4, 5, 6]], dtype='float32') indices = paddle.to_tensor([[2, 0], [1, 2]], dtype='int64') result = paddle.take_along_axis(x, indices, axis=1) self.assertEqual(result.shape, [2, 2]) def test_take_along_axis_0(self): """测试沿axis=0的take_along_axis / Test take_along_axis along axis=0""" x = paddle.to_tensor([[1, 2, 3], [4, 5, 6]], dtype='float32') indices = paddle.to_tensor([[0, 1, 0]], dtype='int64') result = paddle.take_along_axis(x, indices, axis=0) self.assertEqual(result.shape, [1, 3]) def test_take_along_axis_3d(self): """测试3D张量的take_along_axis / Test take_along_axis on 3D tensor""" x = paddle.randn([2, 3, 4]) indices = paddle.zeros([2, 1, 4], dtype='int64') result = paddle.take_along_axis(x, indices, axis=1) self.assertEqual(result.shape, [2, 1, 4]) class TestRollOp(unittest.TestCase): """测试paddle.roll操作 / Test paddle.roll operation""" def test_roll_basic(self): """测试基本roll / Test basic roll""" x = paddle.to_tensor([1, 2, 3, 4, 5], dtype='float32') result = paddle.roll(x, shifts=2) expected = np.array([4, 5, 1, 2, 3], dtype='float32') np.testing.assert_array_equal(result.numpy(), expected) def test_roll_negative_shift(self): """测试负移位的roll / Test roll with negative shift""" x = paddle.to_tensor([1, 2, 3, 4, 5], dtype='float32') result = paddle.roll(x, shifts=-1) expected = np.array([2, 3, 4, 5, 1], dtype='float32') np.testing.assert_array_equal(result.numpy(), expected) def test_roll_2d_axis(self): """测试2D张量沿轴的roll / Test roll on 2D tensor along axis""" x = paddle.to_tensor([[1, 2, 3], [4, 5, 6]], dtype='float32') result = paddle.roll(x, shifts=1, axis=0) expected = np.array([[4, 5, 6], [1, 2, 3]], dtype='float32') np.testing.assert_array_equal(result.numpy(), expected) def test_roll_multiple_shifts(self): """测试多轴roll / Test roll with multiple shifts""" x = paddle.to_tensor([[1, 2, 3], [4, 5, 6]], dtype='float32') result = paddle.roll(x, shifts=[1, 2], axis=[0, 1]) self.assertEqual(result.shape, [2, 3]) def test_roll_flatten(self): """测试展平的roll / Test roll on flattened tensor""" x = paddle.randn([3, 4]) result = paddle.roll(x, shifts=5) self.assertEqual(result.shape, [3, 4]) class TestNanToNumOp(unittest.TestCase): """测试paddle.nan_to_num操作 / Test paddle.nan_to_num operation""" def test_nan_to_num_basic(self): """测试基本nan_to_num / Test basic nan_to_num""" x = paddle.to_tensor([float('nan'), 1.0, float('inf'), float('-inf')]) result = paddle.nan_to_num(x) self.assertFalse(paddle.any(paddle.isnan(result)).item()) def test_nan_to_num_with_values(self): """测试带替换值的nan_to_num / Test nan_to_num with replacement values""" x = paddle.to_tensor([float('nan'), 1.0, float('inf'), float('-inf')]) result = paddle.nan_to_num(x, nan=0.0, posinf=1e6, neginf=-1e6) self.assertAlmostEqual(result.numpy()[0], 0.0) if __name__ == '__main__': unittest.main()