---
description: Explore the detailed implementation of TinyViT architecture including Conv2d_BN, PatchEmbed, MBConv, and more in Ultralytics.
keywords: Ultralytics, TinyViT, Conv2d_BN, PatchEmbed, MBConv, Attention, PyTorch, YOLO, Deep Learning
---

# Reference for `ultralytics/models/sam/modules/tiny_encoder.py`

!!! Note

    This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/tiny_encoder.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/tiny_encoder.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/models/sam/modules/tiny_encoder.py) 🛠️. Thank you 🙏!

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## ::: ultralytics.models.sam.modules.tiny_encoder.Conv2d_BN

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## ::: ultralytics.models.sam.modules.tiny_encoder.PatchEmbed

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## ::: ultralytics.models.sam.modules.tiny_encoder.MBConv

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## ::: ultralytics.models.sam.modules.tiny_encoder.PatchMerging

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## ::: ultralytics.models.sam.modules.tiny_encoder.ConvLayer

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## ::: ultralytics.models.sam.modules.tiny_encoder.Mlp

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## ::: ultralytics.models.sam.modules.tiny_encoder.Attention

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## ::: ultralytics.models.sam.modules.tiny_encoder.TinyViTBlock

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## ::: ultralytics.models.sam.modules.tiny_encoder.BasicLayer

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## ::: ultralytics.models.sam.modules.tiny_encoder.LayerNorm2d

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## ::: ultralytics.models.sam.modules.tiny_encoder.TinyViT

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