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# Recreating PyTorch from Scratch (with GPU Support and Automatic Differentiation)

**[Medium](https://daily.dev/sources/medium_js)** · 24 min read · 2 upvotes · 0 comments

## Summary

This post explains the internals of PyTorch, including GPU support and automatic differentiation. It also demonstrates how to recreate PyTorch from scratch, including building a tensor library, implementing modules for neural networks, and creating custom optimizers.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://towardsdatascience.com/recreating-pytorch-from-scratch-with-gpu-support-and-automatic-differentiation-8f565122a3cc>

---

Tags: [#pytorch](https://daily.dev/tags/pytorch)

[View this post on daily.dev](https://daily.dev/posts/recreating-pytorch-from-scratch-with-gpu-support-and-automatic-differentiation--epc4lah5r)

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