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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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