Скачать или смотреть Episode 3 - PyTorch DataLoader collate

🎬 *Episode 3 – Unpacking PyTorch’s Default Collate Function*
(DataLoader Series – Part 3)

Welcome back to the PyTorch Deep Dive series! In this episode we finally
crack the code behind the **default collate function**—the unsung hero
that stitches together your mini‑batches, handles variable‑length data,
and keeps everything GPU‑friendly.

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👀 What you’ll learn
*Inside the Default Collate* – How PyTorch internally turn different types of data into tensors
*Tips* – On how to write or register your own collate function
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📚 Resources
**PyTorch Docs – DataLoader & Collate**:
https://docs.pytorch.org/docs/stable/...
**Official GitHub Repo (source code)**:
https://github.com/pytorch/pytorch - search default_collate

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🚀 How to keep the momentum
*Subscribe* for weekly deep dives into PyTorch internals.
*Like* if this helped clarify your loader logic.
*Comment* below with questions or topics you want us to cover next.
*Share* with a fellow ML engineer who could use a smoother DataLoader.

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