wehub-resource-sync
186 lines
6.8 KiB
Python
186 lines
6.8 KiB
Python
# 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.
|
|
|
|
"""
|
|
函数式卷积操作单元测试 / Functional Convolution Unit Tests
|
|
|
|
测试目标 / Test Target:
|
|
paddle.nn.functional.conv 模块 (覆盖率约83.4%)
|
|
|
|
覆盖的模块 / Covered Modules:
|
|
- paddle.nn.functional.conv1d: 1D卷积
|
|
- paddle.nn.functional.conv2d: 2D卷积
|
|
- paddle.nn.functional.conv3d: 3D卷积
|
|
- paddle.nn.functional.conv_transpose1d: 1D转置卷积
|
|
- paddle.nn.functional.conv_transpose2d: 2D转置卷积
|
|
- paddle.nn.functional.conv_transpose3d: 3D转置卷积
|
|
|
|
作用 / Purpose:
|
|
覆盖函数式卷积API的各种参数组合，补充卷积操作的测试覆盖率。
|
|
"""
|
|
|
|
import unittest
|
|
|
|
import paddle
|
|
import paddle.nn.functional as F
|
|
|
|
paddle.disable_static()
|
|
|
|
|
|
class TestConv1D(unittest.TestCase):
|
|
"""测试1D卷积函数 / Test 1D convolution function"""
|
|
|
|
def test_conv1d_basic(self):
|
|
"""测试基本1D卷积 / Test basic 1D convolution"""
|
|
x = paddle.randn([4, 3, 16])
|
|
weight = paddle.randn([8, 3, 3])
|
|
y = F.conv1d(x, weight)
|
|
self.assertEqual(y.shape, [4, 8, 14])
|
|
|
|
def test_conv1d_padding(self):
|
|
"""测试带填充的1D卷积 / Test 1D convolution with padding"""
|
|
x = paddle.randn([4, 3, 16])
|
|
weight = paddle.randn([8, 3, 3])
|
|
y = F.conv1d(x, weight, padding=1)
|
|
self.assertEqual(y.shape, [4, 8, 16])
|
|
|
|
def test_conv1d_stride(self):
|
|
"""测试带步幅的1D卷积 / Test 1D convolution with stride"""
|
|
x = paddle.randn([4, 3, 16])
|
|
weight = paddle.randn([8, 3, 3])
|
|
y = F.conv1d(x, weight, stride=2)
|
|
self.assertEqual(y.shape, [4, 8, 7])
|
|
|
|
def test_conv1d_dilation(self):
|
|
"""测试空洞1D卷积 / Test dilated 1D convolution"""
|
|
x = paddle.randn([4, 3, 16])
|
|
weight = paddle.randn([8, 3, 3])
|
|
y = F.conv1d(x, weight, dilation=2)
|
|
self.assertEqual(y.shape, [4, 8, 12])
|
|
|
|
def test_conv1d_with_bias(self):
|
|
"""测试带偏置的1D卷积 / Test 1D convolution with bias"""
|
|
x = paddle.randn([4, 3, 16])
|
|
weight = paddle.randn([8, 3, 3])
|
|
bias = paddle.randn([8])
|
|
y = F.conv1d(x, weight, bias=bias)
|
|
self.assertEqual(y.shape, [4, 8, 14])
|
|
|
|
def test_conv1d_groups(self):
|
|
"""测试分组1D卷积 / Test grouped 1D convolution"""
|
|
x = paddle.randn([4, 6, 16])
|
|
weight = paddle.randn([6, 2, 3]) # out_channels=6, in_channels/groups=2
|
|
y = F.conv1d(x, weight, groups=3)
|
|
self.assertEqual(y.shape, [4, 6, 14])
|
|
|
|
|
|
class TestConv2D(unittest.TestCase):
|
|
"""测试2D卷积函数 / Test 2D convolution function"""
|
|
|
|
def test_conv2d_basic(self):
|
|
"""测试基本2D卷积 / Test basic 2D convolution"""
|
|
x = paddle.randn([4, 3, 32, 32])
|
|
weight = paddle.randn([16, 3, 3, 3])
|
|
y = F.conv2d(x, weight)
|
|
self.assertEqual(y.shape, [4, 16, 30, 30])
|
|
|
|
def test_conv2d_padding_same(self):
|
|
"""测试same填充2D卷积 / Test 2D convolution with same padding"""
|
|
x = paddle.randn([4, 3, 16, 16])
|
|
weight = paddle.randn([8, 3, 3, 3])
|
|
y = F.conv2d(x, weight, padding='SAME')
|
|
self.assertEqual(y.shape, [4, 8, 16, 16])
|
|
|
|
def test_conv2d_stride(self):
|
|
"""测试带步幅2D卷积 / Test 2D convolution with stride"""
|
|
x = paddle.randn([4, 3, 16, 16])
|
|
weight = paddle.randn([8, 3, 3, 3])
|
|
y = F.conv2d(x, weight, stride=2)
|
|
self.assertEqual(y.shape, [4, 8, 7, 7])
|
|
|
|
def test_conv2d_dilation(self):
|
|
"""测试空洞2D卷积 / Test dilated 2D convolution"""
|
|
x = paddle.randn([4, 3, 16, 16])
|
|
weight = paddle.randn([8, 3, 3, 3])
|
|
y = F.conv2d(x, weight, dilation=2)
|
|
self.assertEqual(y.shape, [4, 8, 12, 12])
|
|
|
|
def test_conv2d_depthwise(self):
|
|
"""测试深度可分离卷积 / Test depthwise convolution"""
|
|
x = paddle.randn([4, 8, 16, 16])
|
|
weight = paddle.randn([8, 1, 3, 3]) # groups=8 (depthwise)
|
|
y = F.conv2d(x, weight, groups=8)
|
|
self.assertEqual(y.shape, [4, 8, 14, 14])
|
|
|
|
def test_conv2d_asymmetric_padding(self):
|
|
"""测试非对称填充2D卷积 / Test asymmetric padding 2D convolution"""
|
|
x = paddle.randn([4, 3, 16, 16])
|
|
weight = paddle.randn([8, 3, 3, 3])
|
|
y = F.conv2d(x, weight, padding=1) # symmetric
|
|
self.assertEqual(y.shape, [4, 8, 16, 16])
|
|
|
|
|
|
class TestConv3D(unittest.TestCase):
|
|
"""测试3D卷积函数 / Test 3D convolution function"""
|
|
|
|
def test_conv3d_basic(self):
|
|
"""测试基本3D卷积 / Test basic 3D convolution"""
|
|
x = paddle.randn([2, 3, 8, 16, 16])
|
|
weight = paddle.randn([8, 3, 3, 3, 3])
|
|
y = F.conv3d(x, weight)
|
|
self.assertEqual(y.shape, [2, 8, 6, 14, 14])
|
|
|
|
def test_conv3d_with_padding(self):
|
|
"""测试带填充3D卷积 / Test 3D convolution with padding"""
|
|
x = paddle.randn([2, 3, 8, 8, 8])
|
|
weight = paddle.randn([8, 3, 3, 3, 3])
|
|
y = F.conv3d(x, weight, padding=1)
|
|
self.assertEqual(y.shape, [2, 8, 8, 8, 8])
|
|
|
|
|
|
class TestConvTranspose(unittest.TestCase):
|
|
"""测试转置卷积 / Test transposed convolution"""
|
|
|
|
def test_conv1d_transpose(self):
|
|
"""测试1D转置卷积 / Test 1D transposed convolution"""
|
|
x = paddle.randn([4, 8, 14])
|
|
weight = paddle.randn([8, 3, 3])
|
|
y = F.conv1d_transpose(x, weight)
|
|
self.assertEqual(y.shape, [4, 3, 16])
|
|
|
|
def test_conv2d_transpose_basic(self):
|
|
"""测试基本2D转置卷积 / Test basic 2D transposed convolution"""
|
|
x = paddle.randn([4, 16, 7, 7])
|
|
weight = paddle.randn([16, 8, 3, 3])
|
|
y = F.conv2d_transpose(x, weight)
|
|
self.assertEqual(y.shape, [4, 8, 9, 9])
|
|
|
|
def test_conv2d_transpose_stride(self):
|
|
"""测试带步幅2D转置卷积 / Test 2D transposed convolution with stride"""
|
|
x = paddle.randn([4, 16, 7, 7])
|
|
weight = paddle.randn([16, 8, 4, 4])
|
|
y = F.conv2d_transpose(x, weight, stride=2)
|
|
self.assertEqual(y.shape, [4, 8, 16, 16])
|
|
|
|
def test_conv3d_transpose(self):
|
|
"""测试3D转置卷积 / Test 3D transposed convolution"""
|
|
x = paddle.randn([2, 8, 6, 6, 6])
|
|
weight = paddle.randn([8, 4, 3, 3, 3])
|
|
y = F.conv3d_transpose(x, weight)
|
|
self.assertEqual(y.shape, [2, 4, 8, 8, 8])
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|