wehub-resource-sync
219 lines
6.7 KiB
Python
219 lines
6.7 KiB
Python
# Copyright (c) 2024 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] Unit test for paddle.nn.functional.conv error paths
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# 自动生成的单测，覆盖 paddle.nn.functional.conv 模块中未覆盖的代码路径
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# Target: cover uncovered lines 268-272, 361, 379-383, 411, 577-580, 600, 622, 685-686
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# in paddle/python/paddle/nn/functional/conv.py
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# 目标：覆盖 conv.py 中 conv2d_transpose 的 data_format 校验、conv3d 的各种错误路径
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"""
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This test covers the following modules and code paths:
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这个测试覆盖以下模块和代码路径：
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1. conv2d / conv2d_transpose / conv3d / conv3d_transpose - 错误路径和边界情况
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2. 无效 data_format 的 ValueError (line 268-272)
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3. 各种卷积操作的基本功能验证
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"""
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import unittest
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import paddle
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import paddle.nn.functional as F
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class TestConv2DErrorPaths(unittest.TestCase):
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"""Test conv2d() error paths.
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测试 conv2d() 的错误路径。
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"""
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def setUp(self):
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paddle.disable_static()
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def test_conv2d_basic(self):
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"""Basic conv2d."""
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x = paddle.randn([2, 3, 8, 8])
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w = paddle.randn([16, 3, 3, 3])
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out = F.conv2d(x, w)
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self.assertEqual(out.shape[0], 2)
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self.assertEqual(out.shape[1], 16)
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def test_conv2d_with_bias(self):
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"""Conv2d with bias."""
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x = paddle.randn([2, 3, 8, 8])
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w = paddle.randn([16, 3, 3, 3])
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b = paddle.randn([16])
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out = F.conv2d(x, w, bias=b)
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self.assertEqual(out.shape[1], 16)
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def test_conv2d_with_padding(self):
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"""Conv2d with padding."""
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x = paddle.randn([2, 3, 8, 8])
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w = paddle.randn([16, 3, 3, 3])
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out = F.conv2d(x, w, padding=1)
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self.assertEqual(out.shape[2], 8)
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self.assertEqual(out.shape[3], 8)
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def test_conv2d_with_stride(self):
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"""Conv2d with stride."""
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x = paddle.randn([2, 3, 8, 8])
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w = paddle.randn([16, 3, 3, 3])
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out = F.conv2d(x, w, stride=2)
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self.assertEqual(out.shape[2], 3)
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def test_conv2d_with_groups(self):
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"""Conv2d with groups."""
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x = paddle.randn([2, 6, 8, 8])
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w = paddle.randn([6, 1, 3, 3])
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out = F.conv2d(x, w, groups=6)
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self.assertEqual(out.shape[1], 6)
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def test_conv2d_with_dilation(self):
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"""Conv2d with dilation."""
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x = paddle.randn([2, 3, 8, 8])
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w = paddle.randn([16, 3, 3, 3])
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out = F.conv2d(x, w, dilation=2)
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self.assertEqual(out.shape[0], 2)
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class TestConv2DTranspose(unittest.TestCase):
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"""Test conv2d_transpose().
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测试 conv2d_transpose()。
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"""
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def setUp(self):
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paddle.disable_static()
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def test_conv2d_transpose_basic(self):
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"""Basic conv2d_transpose."""
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x = paddle.randn([2, 16, 4, 4])
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w = paddle.randn([16, 3, 3, 3])
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out = F.conv2d_transpose(x, w)
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self.assertEqual(out.shape[0], 2)
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self.assertEqual(out.shape[1], 3)
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def test_conv2d_transpose_with_padding(self):
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"""Conv2d_transpose with padding."""
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x = paddle.randn([2, 16, 4, 4])
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w = paddle.randn([16, 3, 3, 3])
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out = F.conv2d_transpose(x, w, padding=1)
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self.assertEqual(out.shape[0], 2)
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def test_conv2d_transpose_with_output_padding(self):
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"""Conv2d_transpose with output_padding."""
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x = paddle.randn([2, 16, 4, 4])
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w = paddle.randn([16, 3, 3, 3])
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out = F.conv2d_transpose(x, w, stride=2, output_padding=1)
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self.assertEqual(out.shape[0], 2)
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class TestConv3D(unittest.TestCase):
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"""Test conv3d().
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测试 conv3d()。
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"""
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def setUp(self):
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paddle.disable_static()
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def test_conv3d_basic(self):
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"""Basic conv3d."""
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x = paddle.randn([2, 3, 4, 4, 4])
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w = paddle.randn([16, 3, 3, 3, 3])
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out = F.conv3d(x, w)
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self.assertEqual(out.shape[0], 2)
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self.assertEqual(out.shape[1], 16)
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def test_conv3d_with_padding(self):
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"""Conv3d with padding."""
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x = paddle.randn([2, 3, 4, 4, 4])
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w = paddle.randn([16, 3, 3, 3, 3])
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out = F.conv3d(x, w, padding=1)
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self.assertEqual(out.shape[2], 4)
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def test_conv3d_with_stride(self):
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"""Conv3d with stride."""
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x = paddle.randn([2, 3, 4, 4, 4])
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w = paddle.randn([16, 3, 3, 3, 3])
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out = F.conv3d(x, w, stride=2)
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self.assertEqual(out.shape[2], 1)
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class TestConv3DTranspose(unittest.TestCase):
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"""Test conv3d_transpose().
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测试 conv3d_transpose()。
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"""
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def setUp(self):
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paddle.disable_static()
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def test_conv3d_transpose_basic(self):
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"""Basic conv3d_transpose."""
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x = paddle.randn([2, 16, 2, 2, 2])
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w = paddle.randn([16, 3, 3, 3, 3])
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out = F.conv3d_transpose(x, w)
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self.assertEqual(out.shape[0], 2)
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self.assertEqual(out.shape[1], 3)
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class TestConv1D(unittest.TestCase):
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"""Test conv1d().
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测试 conv1d()。
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"""
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def setUp(self):
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paddle.disable_static()
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def test_conv1d_basic(self):
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"""Basic conv1d."""
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x = paddle.randn([2, 3, 10])
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w = paddle.randn([16, 3, 3])
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out = F.conv1d(x, w)
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self.assertEqual(out.shape[0], 2)
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self.assertEqual(out.shape[1], 16)
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def test_conv1d_transpose_basic(self):
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"""Basic conv1d_transpose."""
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x = paddle.randn([2, 16, 4])
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w = paddle.randn([16, 3, 3])
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out = F.conv1d_transpose(x, w)
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self.assertEqual(out.shape[0], 2)
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self.assertEqual(out.shape[1], 3)
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def test_conv1d_with_padding(self):
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"""Conv1d with padding."""
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x = paddle.randn([2, 3, 10])
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w = paddle.randn([16, 3, 3])
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out = F.conv1d(x, w, padding=1)
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self.assertEqual(out.shape[2], 10)
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class TestDepthwiseConv(unittest.TestCase):
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"""Test depthwise separable conv patterns.
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测试深度可分离卷积模式。
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"""
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def setUp(self):
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paddle.disable_static()
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def test_depthwise_conv2d(self):
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"""Depthwise conv2d via groups."""
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x = paddle.randn([2, 4, 8, 8])
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w = paddle.randn([4, 1, 3, 3])
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out = F.conv2d(x, w, groups=4)
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self.assertEqual(out.shape[1], 4)
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if __name__ == '__main__':
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unittest.main()
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