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---
description: Explore detailed documentation on convolution modules like Conv, LightConv, GhostConv, and more used in Ultralytics models.
keywords: Ultralytics, convolution modules, Conv, LightConv, GhostConv, YOLO, deep learning, neural networks
---
# Reference for `ultralytics/nn/modules/conv.py`
!!! Note
This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/conv.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/conv.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/nn/modules/conv.py) 🛠. Thank you 🙏!
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## ::: ultralytics.nn.modules.conv.Conv
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## ::: ultralytics.nn.modules.conv.Conv2
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## ::: ultralytics.nn.modules.conv.LightConv
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## ::: ultralytics.nn.modules.conv.DWConv
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## ::: ultralytics.nn.modules.conv.DWConvTranspose2d
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## ::: ultralytics.nn.modules.conv.ConvTranspose
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## ::: ultralytics.nn.modules.conv.Focus
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## ::: ultralytics.nn.modules.conv.GhostConv
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## ::: ultralytics.nn.modules.conv.RepConv
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## ::: ultralytics.nn.modules.conv.ChannelAttention
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## ::: ultralytics.nn.modules.conv.SpatialAttention
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## ::: ultralytics.nn.modules.conv.CBAM
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## ::: ultralytics.nn.modules.conv.Concat
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## ::: ultralytics.nn.modules.conv.autopad
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