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β€Žbeginner_source/ddp_series_theory.rst

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@@ -12,16 +12,16 @@ Authors: `Suraj Subramanian <https://github.com/suraj813>`__
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.. grid:: 2
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.. grid-item-card:: :octicon:`mortar-board;1em;` What you will learn
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.. grid-item-card:: :octicon:`mortar-board;1em;` 이 μž₯μ—μ„œ λ°°μš°λŠ” 것
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* How DDP works under the hood
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* What is ``DistributedSampler``
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* How gradients are synchronized across GPUs
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* DDP 의 λ‚΄λΆ€ μž‘λ™ 원리
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* ``DistributedSampler`` μ΄λž€ 무엇인가?
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* GPU κ°„ κΈ°μšΈκΈ°λ“€μ΄ λ™κΈ°ν™”λ˜λŠ” 방법
2020

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.. grid-item-card:: :octicon:`list-unordered;1em;` Prerequisites
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.. grid-item-card:: :octicon:`list-unordered;1em;` ν•„μš” 사항
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* Familiarity with `basic non-distributed training <https://tutorials.pytorch.kr/beginner/basics/quickstart_tutorial.html>`__ in PyTorch
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* νŒŒμ΄ν† μΉ˜ `λΉ„λΆ„μ‚° ν•™μŠ΅ <https://tutorials.pytorch.kr/beginner/basics/quickstart_tutorial.html>`__ 에 μ΅μˆ™ν•  것
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μ•„λž˜μ˜ μ˜μƒμ΄λ‚˜ `유투브 μ˜μƒ youtube <https://www.youtube.com/watch/Cvdhwx-OBBo>`__을 따라 μ§„ν–‰ν•˜μ„Έμš”.
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