PyTorch v1.12 반영, pytorch/tutorials@0918023 (#483)

PyTorchKorea · Jul 10, 2022 · 9c9364e · 9c9364e
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diff --git a/.github/ISSUE_TEMPLATE/1_TRANSLATE_REQUEST.md b/.github/ISSUE_TEMPLATE/1_TRANSLATE_REQUEST.md
@@ -15,4 +15,4 @@ _(반드시 지키셔야 하는 일정이 아닙니다 - 일정이 너무 늦어
 ## 관련 이슈
 _현재 번역 요청 / 진행 내역을 보기 위해 각 버전의 메인 이슈를 참조합니다._ <br />
 _(특별한 일이 없다면 변경하지 않으셔도 됩니다.)_
-* 관련 이슈: #445 (v1.11)
+* 관련 이슈: #483 (v1.12)
diff --git a/README.md b/README.md
@@ -4,7 +4,7 @@
 
 PyTorch에서 제공하는 튜토리얼의 한국어 번역을 위한 저장소입니다.\
 번역의 결과물은 [https://tutorials.pytorch.kr](https://tutorials.pytorch.kr)에서 확인하실 수 있습니다. (번역을 진행하며 **불규칙적으로** 업데이트합니다.)\
-현재 버전의 번역 / 변경 관련 이슈는 [#445 이슈](https://github.com/PyTorchKorea/tutorials-kr/issues/445)를 참고해주세요.
+현재 버전의 번역 / 변경 관련 이슈는 [#483 이슈](https://github.com/PyTorchKorea/tutorials-kr/issues/483)를 참고해주세요.
 
 ## 기여하기
 
@@ -22,7 +22,7 @@ PyTorch에서 제공하는 튜토리얼의 한국어 번역을 위한 저장소
 
 ## 원문
 
-현재 PyTorch v1.11 튜토리얼([pytorch/tutorials@6e21cf2](https://github.com/pytorch/tutorials/commit/6e21cf2e81beb8b4dddc9713be0c8746087fd59e) 기준) 번역이 진행 중입니다.
+현재 PyTorch v1.12 튜토리얼([pytorch/tutorials@0918023](https://github.com/pytorch/tutorials/commit/091802395ed6cc5563643b6b6ef54ba99d412e66) 기준) 번역이 진행 중입니다.
 
 최신 버전의 튜토리얼(공식, 영어)은 [PyTorch tutorials 사이트](https://pytorch.org/tutorials) 및 [PyTorch tutorials 저장소](https://github.com/pytorch/tutorials)를 참고해주세요.
 
@@ -46,5 +46,5 @@ v1.0 이후 번역은 별도 저장소로 관리하지 않습니다. [이 저장
 빌드 방법은 [기여하기 문서의 `2-5. (내 컴퓨터에서) 결과 확인하기`](https://github.com/PyTorchKorea/tutorials-kr/blob/master/CONTRIBUTING.md#2-5-내-컴퓨터에서-결과-확인하기) 부분을 참고해주세요.
 
 ---
-This is a project to translate [pytorch/tutorials@6e21cf2](https://github.com/pytorch/tutorials/commit/6e21cf2e81beb8b4dddc9713be0c8746087fd59e) into Korean.
+This is a project to translate [pytorch/tutorials@0918023](https://github.com/pytorch/tutorials/commit/091802395ed6cc5563643b6b6ef54ba99d412e66) into Korean.
 For the latest version, please visit to the [official PyTorch tutorials repo](https://github.com/pytorch/tutorials).
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diff --git a/_templates/layout.html b/_templates/layout.html
@@ -1,8 +1,18 @@
 {% extends "!layout.html" %}
 
-{% block footer %}
+{%- block content %}
 {{ super() }}
+<script>
+if((window.location.href.indexOf("/prototype/")!= -1) && (window.location.href.indexOf("/prototype/prototype_index")< 1))
+  {
+    var div = '<div class="admonition note"><p class="admonition-title">Note</p><p><i class="fa fa-flask" aria-hidden="true">&nbsp</i> 이 튜토리얼은 프로토타입(prototype) 기능들에 대해서 설명하고 있습니다. 프로토타입 기능은 일반적으로 피드백 및 테스트용으로, 런타임 플래그 없이는 PyPI나 Conda로 배포되는 바이너리에서는 사용할 수 없습니다.</p></div>'
+    document.getElementById("pytorch-article").insertAdjacentHTML('afterBegin', div)
+  }
+</script>
+{%- endblock %}
 
+{% block footer %}
+{{ super() }}
 <script>
 //add microsoft link
 
@@ -81,7 +91,7 @@
 </script>
 
 <script type="text/javascript">
-  var collapsedSections = ['파이토치(PyTorch) 레시피', '파이토치(PyTorch) 배우기', '이미지/비디오', '오디오', '텍스트', '강화학습', 'PyTorch 모델을 프로덕션 환경에 배포하기', 'Code Transforms with FX', '프론트엔드 API', 'PyTorch 확장하기', '모델 최적화', '병렬 및 분산 학습', 'Mobile'];
+  var collapsedSections = ['파이토치(PyTorch) 레시피', '파이토치(PyTorch) 배우기', '이미지/비디오', '오디오', '텍스트', '강화학습', 'PyTorch 모델을 프로덕션 환경에 배포하기', 'Code Transforms with FX', '프론트엔드 API', 'PyTorch 확장하기', '모델 최적화', '병렬 및 분산 학습', 'Mobile', 'Introduction to PyTorch on YouTube', 'Recommendation Systems'];
 </script>
 
 {% endblock %}
diff --git a/advanced_source/generic_join.rst b/advanced_source/generic_join.rst
@@ -3,6 +3,9 @@ Distributed Training with Uneven Inputs Using the Join Context Manager
 
 **Author**\ : `Andrew Gu <https://github.com/andwgu>`_
 
+.. note::
+   View the source code for this tutorial in `github <https://github.com/pytorch/tutorials/blob/master/advanced_source/generic_join.rst>`__.
+
 .. note:: ``Join`` is introduced in PyTorch 1.10 as a prototype feature. This
     API is subject to change.
 
@@ -366,7 +369,7 @@ of inputs across all ranks.
         def join_hook(self, **kwargs) -> JoinHook:
             r"""
             Return a join hook that shadows the all-reduce in :meth:`__call__`.
-
+            
             This join hook supports the following keyword arguments:
                 sync_max_count (bool, optional): whether to synchronize the maximum
                     count across all ranks once all ranks join; default is ``False``.
@@ -439,9 +442,9 @@ Some key points to highlight:
 
 
 .. _Join: https://pytorch.org/docs/master/distributed.algorithms.join.html
-.. _Getting Started with Distributed Data Parallel: https://tutorials.pytorch.kr/intermediate/ddp_tutorial.html
-.. _Getting Started with Distributed Data Parallel - Basic Use Case: https://tutorials.pytorch.kr/intermediate/ddp_tutorial.html#basic-use-case
-.. _Shard Optimizer States with ZeroRedundancyOptimizer: https://tutorials.pytorch.kr/recipes/zero_redundancy_optimizer.html
+.. _Getting Started with Distributed Data Parallel: https://pytorch.org/tutorials/intermediate/ddp_tutorial.html
+.. _Getting Started with Distributed Data Parallel - Basic Use Case: https://pytorch.org/tutorials/intermediate/ddp_tutorial.html#basic-use-case
+.. _Shard Optimizer States with ZeroRedundancyOptimizer: https://pytorch.org/tutorials/recipes/zero_redundancy_optimizer.html
 .. _DistributedDataParallel: https://pytorch.org/docs/stable/generated/torch.nn.parallel.DistributedDataParallel.html
 .. _join(): https://pytorch.org/docs/stable/_modules/torch/nn/parallel/distributed.html#DistributedDataParallel.join
-.. _ZeroRedundancyOptimizer: https://pytorch.org/docs/stable/distributed.optim.html
+.. _ZeroRedundancyOptimizer: https://pytorch.org/docs/stable/distributed.optim.html
diff --git a/advanced_source/rpc_ddp_tutorial.rst b/advanced_source/rpc_ddp_tutorial.rst
@@ -4,6 +4,8 @@
 
 **번역**: `박다정 <https://github.com/dajeongPark-dev>`_
 
+.. note::
+   이 튜토리얼의 소스 코드는 `GitHub <https://github.com/PyTorchKorea/tutorials-kr/blob/master/advanced_source/rpc_ddp_tutorial.rst>`__ 에서 확인할 수 있습니다.
 
 이 튜토리얼은 간단한 예제를 사용하여 분산 데이터 병렬 처리(distributed data parallelism)와
 분산 모델 병렬 처리(distributed model parallelism)를 결합하여 간단한 모델 학습시킬 때