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PyTorchKorea · Jun 30, 2022 · 74e6d6c · 74e6d6c
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diff --git a/docs/.buildinfo b/docs/.buildinfo
@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: 7e600eae8c22497c2bb29617a2788154
+config: 61898db0daf49ba194c21df05df11fbd
 tags: 645f666f9bcd5a90fca523b33c5a78b7
diff --git a/...d7dfb6f64b2e/data_parallel_tutorial.ipynb → ...c4ada62033a4/data_parallel_tutorial.ipynb b/...d7dfb6f64b2e/data_parallel_tutorial.ipynb → ...c4ada62033a4/data_parallel_tutorial.ipynb
@@ -157,7 +157,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.8"
+      "version": "3.8.13"
     }
   },
   "nbformat": 4,

diff --git a/...25188c617419635db9/autogradqs_tutorial.py → ...2c25c83c4f26c853a2/autogradqs_tutorial.py b/...25188c617419635db9/autogradqs_tutorial.py → ...2c25c83c4f26c853a2/autogradqs_tutorial.py
diff --git a/...b6284b3555b090b9a2/fx_conv_bn_fuser.ipynb → ...fe9e9a88391fa2c29e/fx_conv_bn_fuser.ipynb b/...b6284b3555b090b9a2/fx_conv_bn_fuser.ipynb → ...fe9e9a88391fa2c29e/fx_conv_bn_fuser.ipynb
@@ -193,7 +193,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.8"
+      "version": "3.8.13"
     }
   },
   "nbformat": 4,

diff --git a/docs/_downloads/0184bded18578d24a48fdfad2c701b09/polynomial_autograd.ipynb b/docs/_downloads/0184bded18578d24a48fdfad2c701b09/polynomial_autograd.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "import torch\nimport math\n\ndtype = torch.float\ndevice = torch.device(\"cpu\")\n# device = torch.device(\"cuda:0\") # GPU\uc5d0\uc11c \uc2e4\ud589\ud558\ub824\uba74 \uc774 \uc8fc\uc11d\uc744 \uc81c\uac70\ud558\uc138\uc694\n\n# \uc785\ub825\uac12\uacfc \ucd9c\ub825\uac12\uc744 \uac16\ub294 \ud150\uc11c\ub4e4\uc744 \uc0dd\uc131\ud569\ub2c8\ub2e4.\n# requires_grad=False\uac00 \uae30\ubcf8\uac12\uc73c\ub85c \uc124\uc815\ub418\uc5b4 \uc5ed\uc804\ud30c \ub2e8\uacc4 \uc911\uc5d0 \uc774 \ud150\uc11c\ub4e4\uc5d0 \ub300\ud55c \ubcc0\ud654\ub3c4\ub97c\n# \uacc4\uc0b0\ud560 \ud544\uc694\uac00 \uc5c6\uc74c\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4.\nx = torch.linspace(-math.pi, math.pi, 2000, device=device, dtype=dtype)\ny = torch.sin(x)\n\n# \uac00\uc911\uce58\ub97c \uac16\ub294 \uc784\uc758\uc758 \ud150\uc11c\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4. 3\ucc28 \ub2e4\ud56d\uc2dd\uc774\ubbc0\ub85c 4\uac1c\uc758 \uac00\uc911\uce58\uac00 \ud544\uc694\ud569\ub2c8\ub2e4:\n# y = a + b x + c x^2 + d x^3\n# requires_grad=True\ub85c \uc124\uc815\ud558\uc5ec \uc5ed\uc804\ud30c \ub2e8\uacc4 \uc911\uc5d0 \uc774 \ud150\uc11c\ub4e4\uc5d0 \ub300\ud55c \ubcc0\ud654\ub3c4\ub97c \uacc4\uc0b0\ud560 \ud544\uc694\uac00\n# \uc788\uc74c\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4.\na = torch.randn((), device=device, dtype=dtype, requires_grad=True)\nb = torch.randn((), device=device, dtype=dtype, requires_grad=True)\nc = torch.randn((), device=device, dtype=dtype, requires_grad=True)\nd = torch.randn((), device=device, dtype=dtype, requires_grad=True)\n\nlearning_rate = 1e-6\nfor t in range(2000):\n    # \uc21c\uc804\ud30c \ub2e8\uacc4: \ud150\uc11c\ub4e4 \uac04\uc758 \uc5f0\uc0b0\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc608\uce21\uac12 y\ub97c \uacc4\uc0b0\ud569\ub2c8\ub2e4.\n    y_pred = a + b * x + c * x ** 2 + d * x ** 3\n\n    # \ud150\uc11c\ub4e4\uac04\uc758 \uc5f0\uc0b0\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc190\uc2e4(loss)\uc744 \uacc4\uc2fc\ud558\uace0 \ucd9c\ub825\ud569\ub2c8\ub2e4.\n    # \uc774 \ub54c \uc190\uc2e4\uc740 (1,) shape\uc744 \uac16\ub294 \ud150\uc11c\uc785\ub2c8\ub2e4.\n    # loss.item() \uc73c\ub85c \uc190\uc2e4\uc774 \uac16\uace0 \uc788\ub294 \uc2a4\uce7c\ub77c \uac12\uc744 \uac00\uc838\uc62c \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n    loss = (y_pred - y).pow(2).sum()\n    if t % 100 == 99:\n        print(t, loss.item())\n\n    # autograd \ub97c \uc0ac\uc6a9\ud558\uc5ec \uc5ed\uc804\ud30c \ub2e8\uacc4\ub97c \uacc4\uc0b0\ud569\ub2c8\ub2e4. \uc774\ub294 requires_grad=True\ub97c \uac16\ub294\n    # \ubaa8\ub4e0 \ud150\uc11c\ub4e4\uc5d0 \ub300\ud55c \uc190\uc2e4\uc758 \ubcc0\ud654\ub3c4\ub97c \uacc4\uc0b0\ud569\ub2c8\ub2e4.\n    # \uc774\ud6c4 a.grad\uc640 b.grad, c.grad, d.grad\ub294 \uac01\uac01 a, b, c, d\uc5d0 \ub300\ud55c \uc190\uc2e4\uc758 \ubcc0\ud654\ub3c4\ub97c\n    # \uac16\ub294 \ud150\uc11c\uac00 \ub429\ub2c8\ub2e4.\n    loss.backward()\n\n    # \uacbd\uc0ac\ud558\uac15\ubc95(gradient descent)\ub97c \uc0ac\uc6a9\ud558\uc5ec \uac00\uc911\uce58\ub97c \uc9c1\uc811 \uac31\uc2e0\ud569\ub2c8\ub2e4.\n    # torch.no_grad()\ub85c \uac10\uc2f8\ub294 \uc774\uc720\ub294, \uac00\uc911\uce58\ub4e4\uc774 requires_grad=True \uc9c0\ub9cc\n    # autograd\uc5d0\uc11c\ub294 \uc774\ub97c \ucd94\uc801\ud558\uc9c0 \uc54a\uc744 \uac83\uc774\uae30 \ub54c\ubb38\uc785\ub2c8\ub2e4.\n    with torch.no_grad():\n        a -= learning_rate * a.grad\n        b -= learning_rate * b.grad\n        c -= learning_rate * c.grad\n        d -= learning_rate * d.grad\n\n        # \uac00\uc911\uce58 \uac31\uc2e0 \ud6c4\uc5d0\ub294 \ubcc0\ud654\ub3c4\ub97c \uc9c1\uc811 0\uc73c\ub85c \ub9cc\ub4ed\ub2c8\ub2e4.\n        a.grad = None\n        b.grad = None\n        c.grad = None\n        d.grad = None\n\nprint(f'Result: y = {a.item()} + {b.item()} x + {c.item()} x^2 + {d.item()} x^3')"
+        "import torch\nimport math\n\ndtype = torch.float\ndevice = torch.device(\"cpu\")\n# device = torch.device(\"cuda:0\") # GPU\uc5d0\uc11c \uc2e4\ud589\ud558\ub824\uba74 \uc774 \uc8fc\uc11d\uc744 \uc81c\uac70\ud558\uc138\uc694\n\n# \uc785\ub825\uac12\uacfc \ucd9c\ub825\uac12\uc744 \uac16\ub294 \ud150\uc11c\ub4e4\uc744 \uc0dd\uc131\ud569\ub2c8\ub2e4.\n# requires_grad=False\uac00 \uae30\ubcf8\uac12\uc73c\ub85c \uc124\uc815\ub418\uc5b4 \uc5ed\uc804\ud30c \ub2e8\uacc4 \uc911\uc5d0 \uc774 \ud150\uc11c\ub4e4\uc5d0 \ub300\ud55c \ubcc0\ud654\ub3c4\ub97c\n# \uacc4\uc0b0\ud560 \ud544\uc694\uac00 \uc5c6\uc74c\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4.\nx = torch.linspace(-math.pi, math.pi, 2000, device=device, dtype=dtype)\ny = torch.sin(x)\n\n# \uac00\uc911\uce58\ub97c \uac16\ub294 \uc784\uc758\uc758 \ud150\uc11c\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4. 3\ucc28 \ub2e4\ud56d\uc2dd\uc774\ubbc0\ub85c 4\uac1c\uc758 \uac00\uc911\uce58\uac00 \ud544\uc694\ud569\ub2c8\ub2e4:\n# y = a + b x + c x^2 + d x^3\n# requires_grad=True\ub85c \uc124\uc815\ud558\uc5ec \uc5ed\uc804\ud30c \ub2e8\uacc4 \uc911\uc5d0 \uc774 \ud150\uc11c\ub4e4\uc5d0 \ub300\ud55c \ubcc0\ud654\ub3c4\ub97c \uacc4\uc0b0\ud560 \ud544\uc694\uac00\n# \uc788\uc74c\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4.\na = torch.randn((), device=device, dtype=dtype, requires_grad=True)\nb = torch.randn((), device=device, dtype=dtype, requires_grad=True)\nc = torch.randn((), device=device, dtype=dtype, requires_grad=True)\nd = torch.randn((), device=device, dtype=dtype, requires_grad=True)\n\nlearning_rate = 1e-6\nfor t in range(2000):\n    # \uc21c\uc804\ud30c \ub2e8\uacc4: \ud150\uc11c\ub4e4 \uac04\uc758 \uc5f0\uc0b0\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc608\uce21\uac12 y\ub97c \uacc4\uc0b0\ud569\ub2c8\ub2e4.\n    y_pred = a + b * x + c * x ** 2 + d * x ** 3\n\n    # \ud150\uc11c\ub4e4\uac04\uc758 \uc5f0\uc0b0\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc190\uc2e4(loss)\uc744 \uacc4\uc0b0\ud558\uace0 \ucd9c\ub825\ud569\ub2c8\ub2e4.\n    # \uc774 \ub54c \uc190\uc2e4\uc740 (1,) shape\uc744 \uac16\ub294 \ud150\uc11c\uc785\ub2c8\ub2e4.\n    # loss.item() \uc73c\ub85c \uc190\uc2e4\uc774 \uac16\uace0 \uc788\ub294 \uc2a4\uce7c\ub77c \uac12\uc744 \uac00\uc838\uc62c \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n    loss = (y_pred - y).pow(2).sum()\n    if t % 100 == 99:\n        print(t, loss.item())\n\n    # autograd \ub97c \uc0ac\uc6a9\ud558\uc5ec \uc5ed\uc804\ud30c \ub2e8\uacc4\ub97c \uacc4\uc0b0\ud569\ub2c8\ub2e4. \uc774\ub294 requires_grad=True\ub97c \uac16\ub294\n    # \ubaa8\ub4e0 \ud150\uc11c\ub4e4\uc5d0 \ub300\ud55c \uc190\uc2e4\uc758 \ubcc0\ud654\ub3c4\ub97c \uacc4\uc0b0\ud569\ub2c8\ub2e4.\n    # \uc774\ud6c4 a.grad\uc640 b.grad, c.grad, d.grad\ub294 \uac01\uac01 a, b, c, d\uc5d0 \ub300\ud55c \uc190\uc2e4\uc758 \ubcc0\ud654\ub3c4\ub97c\n    # \uac16\ub294 \ud150\uc11c\uac00 \ub429\ub2c8\ub2e4.\n    loss.backward()\n\n    # \uacbd\uc0ac\ud558\uac15\ubc95(gradient descent)\ub97c \uc0ac\uc6a9\ud558\uc5ec \uac00\uc911\uce58\ub97c \uc9c1\uc811 \uac31\uc2e0\ud569\ub2c8\ub2e4.\n    # torch.no_grad()\ub85c \uac10\uc2f8\ub294 \uc774\uc720\ub294, \uac00\uc911\uce58\ub4e4\uc774 requires_grad=True \uc9c0\ub9cc\n    # autograd\uc5d0\uc11c\ub294 \uc774\ub97c \ucd94\uc801\ud558\uc9c0 \uc54a\uc744 \uac83\uc774\uae30 \ub54c\ubb38\uc785\ub2c8\ub2e4.\n    with torch.no_grad():\n        a -= learning_rate * a.grad\n        b -= learning_rate * b.grad\n        c -= learning_rate * c.grad\n        d -= learning_rate * d.grad\n\n        # \uac00\uc911\uce58 \uac31\uc2e0 \ud6c4\uc5d0\ub294 \ubcc0\ud654\ub3c4\ub97c \uc9c1\uc811 0\uc73c\ub85c \ub9cc\ub4ed\ub2c8\ub2e4.\n        a.grad = None\n        b.grad = None\n        c.grad = None\n        d.grad = None\n\nprint(f'Result: y = {a.item()} + {b.item()} x + {c.item()} x^2 + {d.item()} x^3')"
       ]
     }
   ],
@@ -46,7 +46,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.8"
+      "version": "3.8.13"
     }
   },
   "nbformat": 4,

diff --git a/...98247dc8a72f0c42/autograd_tutorial_old.py → ...1fd02de7408efc9d/autograd_tutorial_old.py b/...98247dc8a72f0c42/autograd_tutorial_old.py → ...1fd02de7408efc9d/autograd_tutorial_old.py
diff --git a/...60e717ff60be00f0eafd/polynomial_module.py → ...c9b3b60754548f80fd56/polynomial_module.py b/...60e717ff60be00f0eafd/polynomial_module.py → ...c9b3b60754548f80fd56/polynomial_module.py
diff --git a/...f1ec813a32db0d/model_parallel_tutorial.py → ...20ea0f309ebc26/model_parallel_tutorial.py b/...f1ec813a32db0d/model_parallel_tutorial.py → ...20ea0f309ebc26/model_parallel_tutorial.py
diff --git a/docs/_downloads/032d653a4f5a9c1ec32b9fc7c989ffe1/seq2seq_translation_tutorial.ipynb b/docs/_downloads/032d653a4f5a9c1ec32b9fc7c989ffe1/seq2seq_translation_tutorial.ipynb
@@ -423,7 +423,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.8"
+      "version": "3.8.13"
     }
   },
   "nbformat": 4,

diff --git a/...746abc152e800339bf430d649c/captumyt.ipynb → ...e5c5994c62825b2fe8aac65d19/captumyt.ipynb b/...746abc152e800339bf430d649c/captumyt.ipynb → ...e5c5994c62825b2fe8aac65d19/captumyt.ipynb
@@ -272,7 +272,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.8"
+      "version": "3.8.13"
     }
   },
   "nbformat": 4,

diff --git a/docs/_downloads/03a48646520c277662581e858e680809/model_parallel_tutorial.ipynb b/docs/_downloads/03a48646520c277662581e858e680809/model_parallel_tutorial.ipynb
@@ -204,7 +204,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.8"
+      "version": "3.8.13"
     }
   },
   "nbformat": 4,

diff --git a/docs/_downloads/070179efc13bd796c5dd4af7bf52d5b9/intro.ipynb b/docs/_downloads/070179efc13bd796c5dd4af7bf52d5b9/intro.ipynb
@@ -35,7 +35,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.8"
+      "version": "3.8.13"
     }
   },
   "nbformat": 4,

diff --git a/...dc218069b7b0c5b/loading_data_recipe.ipynb → ...778229d49842103/loading_data_recipe.ipynb b/...dc218069b7b0c5b/loading_data_recipe.ipynb → ...778229d49842103/loading_data_recipe.ipynb
@@ -186,7 +186,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.8"
+      "version": "3.8.13"
     }
   },
   "nbformat": 4,

diff --git a/docs/_downloads/07d05907b3ff859aeed5f76f1acc5df4/Intro_to_TorchScript_tutorial.py b/docs/_downloads/07d05907b3ff859aeed5f76f1acc5df4/Intro_to_TorchScript_tutorial.py
@@ -47,7 +47,7 @@
 #    호출 중에 모듈에 의해 사용될 수 있습니다.
 # 3. ``forward`` 함수. 모듈이 호출될 때 실행되는 코드입니다.
 #
-# 작은 예제로 시작해 보겟습니다:
+# 작은 예제로 시작해 보겠습니다:
 #
 
 class MyCell(torch.nn.Module):

diff --git a/...05741041b5ab5b9a753d3e/profiler_recipe.py → ...b050033681008f9d533c05/profiler_recipe.py b/...05741041b5ab5b9a753d3e/profiler_recipe.py → ...b050033681008f9d533c05/profiler_recipe.py
diff --git a/docs/_downloads/0abb91e66579f9acfdfbf93bc4b69955/named_tensor_tutorial.ipynb b/docs/_downloads/0abb91e66579f9acfdfbf93bc4b69955/named_tensor_tutorial.ipynb
@@ -503,7 +503,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.8"
+      "version": "3.8.13"
     }
   },
   "nbformat": 4,

diff --git a/docs/_downloads/0aec568a42e89122e5ca293c86289287/tensorboard_profiler_tutorial.ipynb b/docs/_downloads/0aec568a42e89122e5ca293c86289287/tensorboard_profiler_tutorial.ipynb
@@ -206,7 +206,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.8"
+      "version": "3.8.13"
     }
   },
   "nbformat": 4,

diff --git a/...d7bf72913b19da9af3/transforms_tutorial.py → ...2ba51ecaa777ed5318/transforms_tutorial.py b/...d7bf72913b19da9af3/transforms_tutorial.py → ...2ba51ecaa777ed5318/transforms_tutorial.py
diff --git a/docs/_downloads/0e6615c5a7bc71e01ff3c51217ea00da/tensorqs_tutorial.ipynb b/docs/_downloads/0e6615c5a7bc71e01ff3c51217ea00da/tensorqs_tutorial.ipynb
@@ -358,7 +358,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.8"
+      "version": "3.8.13"
     }
   },
   "nbformat": 4,

diff --git a/...c4965d16e/seq2seq_translation_tutorial.py → ...4a727e849/seq2seq_translation_tutorial.py b/...c4965d16e/seq2seq_translation_tutorial.py → ...4a727e849/seq2seq_translation_tutorial.py
diff --git a/docs/_downloads/11f1adacb7d237f2041ce267ac38abb6/saveloadrun_tutorial.ipynb b/docs/_downloads/11f1adacb7d237f2041ce267ac38abb6/saveloadrun_tutorial.ipynb
@@ -139,7 +139,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.8"
+      "version": "3.8.13"
     }
   },
   "nbformat": 4,

diff --git a/...9c479fd3ec231cf1df/quickstart_tutorial.py → ...fe9c85994219c7d410/quickstart_tutorial.py b/...9c479fd3ec231cf1df/quickstart_tutorial.py → ...fe9c85994219c7d410/quickstart_tutorial.py
diff --git a/...cd29f1cc50c23/neural_style_tutorial.ipynb → ...b66e322b2a5aa/neural_style_tutorial.ipynb b/...cd29f1cc50c23/neural_style_tutorial.ipynb → ...b66e322b2a5aa/neural_style_tutorial.ipynb
@@ -294,7 +294,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.8"
+      "version": "3.8.13"
     }
   },
   "nbformat": 4,

diff --git a/...f4eaaaa78/audio_resampling_tutorial.ipynb → ...28b973545/audio_resampling_tutorial.ipynb b/...f4eaaaa78/audio_resampling_tutorial.ipynb → ...28b973545/audio_resampling_tutorial.ipynb
@@ -172,7 +172,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.8"
+      "version": "3.8.13"
     }
   },
   "nbformat": 4,

diff --git a/docs/_downloads/13b143c2380f4768d9432d808ad50799/char_rnn_classification_tutorial.ipynb b/docs/_downloads/13b143c2380f4768d9432d808ad50799/char_rnn_classification_tutorial.ipynb
@@ -308,7 +308,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.8"
+      "version": "3.8.13"
     }
   },
   "nbformat": 4,

diff --git a/docs/_downloads/13cdb386a4b0dc48c626f32e6cf8681d/amp_recipe.ipynb b/docs/_downloads/13cdb386a4b0dc48c626f32e6cf8681d/amp_recipe.ipynb
@@ -236,7 +236,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.8"
+      "version": "3.8.13"
     }
   },
   "nbformat": 4,

diff --git a/...b74b4/audio_data_augmentation_tutorial.py → ...473d5/audio_data_augmentation_tutorial.py b/...b74b4/audio_data_augmentation_tutorial.py → ...473d5/audio_data_augmentation_tutorial.py
diff --git a/...23a552353/numpy_extensions_tutorial.ipynb → ...91bb29b7a/numpy_extensions_tutorial.ipynb b/...23a552353/numpy_extensions_tutorial.ipynb → ...91bb29b7a/numpy_extensions_tutorial.ipynb
@@ -136,7 +136,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.8"
+      "version": "3.8.13"
     }
   },
   "nbformat": 4,

diff --git a/...a42280b88fc/flask_rest_api_tutorial.ipynb → ...b6b57088e70/flask_rest_api_tutorial.ipynb b/...a42280b88fc/flask_rest_api_tutorial.ipynb → ...b6b57088e70/flask_rest_api_tutorial.ipynb
@@ -274,7 +274,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.8"
+      "version": "3.8.13"
     }
   },
   "nbformat": 4,

diff --git a/...adea5b7bc94151e8e/advanced_tutorial.ipynb → ...7a004e127f9d4015a/advanced_tutorial.ipynb b/...adea5b7bc94151e8e/advanced_tutorial.ipynb → ...7a004e127f9d4015a/advanced_tutorial.ipynb
@@ -107,7 +107,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.8"
+      "version": "3.8.13"
     }
   },
   "nbformat": 4,

diff --git a/docs/_downloads/16b28c991d1ecd15e9c3baccf501a92e/torchscript_freezing.ipynb b/docs/_downloads/16b28c991d1ecd15e9c3baccf501a92e/torchscript_freezing.ipynb
@@ -67,7 +67,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.8"
+      "version": "3.8.13"
     }
   },
   "nbformat": 4,

diff --git a/docs/_downloads/176a0eb17083f2a53b7e388098a15704/dcgan_faces_tutorial.py b/docs/_downloads/176a0eb17083f2a53b7e388098a15704/dcgan_faces_tutorial.py
@@ -594,7 +594,7 @@ def forward(self, input):
 # 결과를 알아봅시다. 이 섹션에서는 총 세가지를 확인할겁니다.
 # 첫번째는 G와 D의 손실값들이 어떻게 변했는가, 두번째는 매 에폭마다
 # fixed_noise를 이용해 G가 만들어낸 이미지들, 마지막은 학습이 끝난 G가 만들어낸 이미지와
-# 진짜이미지들의 비교입니다
+# 진짜 이미지들의 비교입니다
 #
 # **학습하는 동안의 손실값들**
 #

diff --git a/...e4acb39a4a28644c8c8e9/data_tutorial.ipynb → ...c094518d310ff758dfa90/data_tutorial.ipynb b/...e4acb39a4a28644c8c8e9/data_tutorial.ipynb → ...c094518d310ff758dfa90/data_tutorial.ipynb
@@ -221,7 +221,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.8"
+      "version": "3.8.13"
     }
   },
   "nbformat": 4,

diff --git a/...a7abf98b906bc4/torchscript_freezing.ipynb → ...819152d99350fa/torchscript_freezing.ipynb b/...a7abf98b906bc4/torchscript_freezing.ipynb → ...819152d99350fa/torchscript_freezing.ipynb
@@ -67,7 +67,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.8"
+      "version": "3.8.13"
     }
   },
   "nbformat": 4,

diff --git a/...b5286f89573a9bf73/polynomial_tensor.ipynb → ...2fddab58ac1e2c7af/polynomial_tensor.ipynb b/...b5286f89573a9bf73/polynomial_tensor.ipynb → ...2fddab58ac1e2c7af/polynomial_tensor.ipynb
@@ -46,7 +46,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.8"
+      "version": "3.8.13"
     }
   },
   "nbformat": 4,

diff --git a/docs/_downloads/1abafdb61e7f50ae6f867b54d5f0f233/fx_graph_mode_ptq_dynamic.ipynb b/docs/_downloads/1abafdb61e7f50ae6f867b54d5f0f233/fx_graph_mode_ptq_dynamic.ipynb
@@ -114,7 +114,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.8"
+      "version": "3.8.13"
     }
   },
   "nbformat": 4,

diff --git a/docs/_downloads/1b58d206e701317cf46c92dcf2a8978d/parallelism_tutorial.ipynb b/docs/_downloads/1b58d206e701317cf46c92dcf2a8978d/parallelism_tutorial.ipynb
@@ -107,7 +107,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.8"
+      "version": "3.8.13"
     }
   },
   "nbformat": 4,

diff --git a/...b010923c/polynomial_custom_function.ipynb → ...791b21f5/polynomial_custom_function.ipynb b/...b010923c/polynomial_custom_function.ipynb → ...791b21f5/polynomial_custom_function.ipynb
@@ -46,7 +46,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.8"
+      "version": "3.8.13"
     }
   },
   "nbformat": 4,

diff --git a/...bcfb5b2bf5dd7a1f3a9609d19da/amp_recipe.py → ...a873a45621f1fcee67e35350dc7/amp_recipe.py b/...bcfb5b2bf5dd7a1f3a9609d19da/amp_recipe.py → ...a873a45621f1fcee67e35350dc7/amp_recipe.py
diff --git a/...b6dc61ca5/spatial_transformer_tutorial.py → ...565019569/spatial_transformer_tutorial.py b/...b6dc61ca5/spatial_transformer_tutorial.py → ...565019569/spatial_transformer_tutorial.py
diff --git a/...ad8e4d3f194907d09af8bd8299/nn_tutorial.py → ...157cfb2144e839e4269d363fe5/nn_tutorial.py b/...ad8e4d3f194907d09af8bd8299/nn_tutorial.py → ...157cfb2144e839e4269d363fe5/nn_tutorial.py
diff --git a/...dc6dd95f4c06f3bede53/advanced_tutorial.py → ...74070d3ba8f4c9a98ed8/advanced_tutorial.py b/...dc6dd95f4c06f3bede53/advanced_tutorial.py → ...74070d3ba8f4c9a98ed8/advanced_tutorial.py
diff --git a/...a39156f9704845892e1a175c/nnft_tutorial.py → ...3afc565b694fd6c6e32a2abd/nnft_tutorial.py b/...a39156f9704845892e1a175c/nnft_tutorial.py → ...3afc565b694fd6c6e32a2abd/nnft_tutorial.py
diff --git a/...9a944f752a51c6d35/mario_rl_tutorial.ipynb → ...d05ef231c39fe81fc/mario_rl_tutorial.ipynb b/...9a944f752a51c6d35/mario_rl_tutorial.ipynb → ...d05ef231c39fe81fc/mario_rl_tutorial.ipynb
@@ -290,7 +290,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.8"
+      "version": "3.8.13"
     }
   },
   "nbformat": 4,

diff --git a/...b/super_resolution_with_onnxruntime.ipynb → ...f/super_resolution_with_onnxruntime.ipynb b/...b/super_resolution_with_onnxruntime.ipynb → ...f/super_resolution_with_onnxruntime.ipynb
@@ -225,7 +225,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.8"
+      "version": "3.8.13"
     }
   },
   "nbformat": 4,

diff --git a/...lassification_with_torchaudio_tutorial.py → ...lassification_with_torchaudio_tutorial.py b/...lassification_with_torchaudio_tutorial.py → ...lassification_with_torchaudio_tutorial.py
diff --git a/docs/_downloads/27536182f7bcc1469e1a63b7faf8174a/tensor_tutorial_old.py b/docs/_downloads/27536182f7bcc1469e1a63b7faf8174a/tensor_tutorial_old.py
@@ -40,7 +40,7 @@
 
 ###############################################################
 # ``narrow`` 와 같은 일부 연산들은 바꿔치기 버전을 갖지 않기 때문에 ``.narrow_`` 는
-# 존재하지 않습니다. 또한, ``fill_`` 은 반환하기 버전을 갖지 않기 떄문에 역시
+# 존재하지 않습니다. 또한, ``fill_`` 은 반환하기 버전을 갖지 않기 때문에 역시
 # ``.fill`` 도 존재하지 않습니다.
 #
 # 0-인덱스(Zero Indexing)

diff --git a/...13868890cc3a86d1b519/introyt1_tutorial.py → ...2cbfc494338100fee309/introyt1_tutorial.py b/...13868890cc3a86d1b519/introyt1_tutorial.py → ...2cbfc494338100fee309/introyt1_tutorial.py
diff --git a/...0be7e990/dynamic_quantization_tutorial.py → ...2b651dc7/dynamic_quantization_tutorial.py b/...0be7e990/dynamic_quantization_tutorial.py → ...2b651dc7/dynamic_quantization_tutorial.py
diff --git a/...b8bbc697b02aab860bf2c/polynomial_nn.ipynb → ...a76c7a99b278b8fca56e0/polynomial_nn.ipynb b/...b8bbc697b02aab860bf2c/polynomial_nn.ipynb → ...a76c7a99b278b8fca56e0/polynomial_nn.ipynb
@@ -46,7 +46,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.8.8"
+      "version": "3.8.13"
     }
   },
   "nbformat": 4,

diff --git a/...21cbd008/tensorboard_profiler_tutorial.py → ...879d17f4/tensorboard_profiler_tutorial.py b/...21cbd008/tensorboard_profiler_tutorial.py → ...879d17f4/tensorboard_profiler_tutorial.py
diff --git a/.../autograd_saved_tensors_hooks_tutorial.py → .../autograd_saved_tensors_hooks_tutorial.py b/.../autograd_saved_tensors_hooks_tutorial.py → .../autograd_saved_tensors_hooks_tutorial.py