Automated tutorials push

pytorch · Jun 25, 2024 · 010419e · 010419e
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diff --git a/_downloads/3195443a0ced3cabc0ad643537bdb5cd/introyt1_tutorial.ipynb b/_downloads/3195443a0ced3cabc0ad643537bdb5cd/introyt1_tutorial.ipynb
@@ -34,7 +34,7 @@
   {
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-   "id": "7990a69c",
+   "id": "de9d7e17",
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    "outputs": [],
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@@ -50,7 +50,7 @@
   },
   {
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-   "id": "cd424fde",
+   "id": "38547d24",
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     "\n",

diff --git a/_downloads/4355e2cef7d17548f1e25f97a62828c4/template_tutorial.ipynb b/_downloads/4355e2cef7d17548f1e25f97a62828c4/template_tutorial.ipynb
@@ -31,7 +31,7 @@
   {
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-   "id": "41f06fa1",
+   "id": "6eaa09f5",
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@@ -47,7 +47,7 @@
   },
   {
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-   "id": "a8f13a31",
+   "id": "70db1f88",
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     "\n",

diff --git a/_downloads/63a0f0fc7b3ffb15d3a5ac8db3d521ee/tensors_deeper_tutorial.ipynb b/_downloads/63a0f0fc7b3ffb15d3a5ac8db3d521ee/tensors_deeper_tutorial.ipynb
@@ -34,7 +34,7 @@
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-   "id": "e9a0317a",
+   "id": "8cf9d4a9",
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@@ -50,7 +50,7 @@
   },
   {
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-   "id": "cb107f47",
+   "id": "32d07b59",
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     "\n",

diff --git a/_downloads/770632dd3941d2a51b831c52ded57aa2/trainingyt.ipynb b/_downloads/770632dd3941d2a51b831c52ded57aa2/trainingyt.ipynb
@@ -35,7 +35,7 @@
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+   "id": "b0907d17",
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@@ -51,7 +51,7 @@
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+   "id": "e734a4d7",
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     "\n",

diff --git a/_downloads/c28f42852d456daf9af72da6c6909556/captumyt.ipynb b/_downloads/c28f42852d456daf9af72da6c6909556/captumyt.ipynb
@@ -37,7 +37,7 @@
   {
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+   "id": "594c72cf",
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@@ -53,7 +53,7 @@
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   {
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-   "id": "9b221904",
+   "id": "475c2a63",
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     "\n",

diff --git a/_downloads/e2e556f6b4693c2cef716dd7f40caaf6/tensorboardyt_tutorial.ipynb b/_downloads/e2e556f6b4693c2cef716dd7f40caaf6/tensorboardyt_tutorial.ipynb
@@ -35,7 +35,7 @@
   {
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@@ -51,7 +51,7 @@
   },
   {
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+   "id": "6dd50681",
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diff --git a/_downloads/ed9d4f94afb79f7dada6742a06c486a5/autogradyt_tutorial.ipynb b/_downloads/ed9d4f94afb79f7dada6742a06c486a5/autogradyt_tutorial.ipynb
@@ -34,7 +34,7 @@
   {
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+   "id": "cd6a315d",
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@@ -50,7 +50,7 @@
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   {
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-   "id": "17dc5c5a",
+   "id": "9a958047",
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     "\n",

diff --git a/_downloads/fe726e041160526cf828806536922cf6/modelsyt_tutorial.ipynb b/_downloads/fe726e041160526cf828806536922cf6/modelsyt_tutorial.ipynb
@@ -34,7 +34,7 @@
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+   "id": "26b54310",
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@@ -50,7 +50,7 @@
   },
   {
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-   "id": "d4ef5611",
+   "id": "34de35c5",
    "metadata": {},
    "source": [
     "\n",

diff --git a/_images/sphx_glr_coding_ddpg_001.png b/_images/sphx_glr_coding_ddpg_001.png
diff --git a/_images/sphx_glr_dqn_with_rnn_tutorial_001.png b/_images/sphx_glr_dqn_with_rnn_tutorial_001.png
diff --git a/_images/sphx_glr_neural_style_tutorial_004.png b/_images/sphx_glr_neural_style_tutorial_004.png
diff --git a/_images/sphx_glr_reinforcement_ppo_001.png b/_images/sphx_glr_reinforcement_ppo_001.png
diff --git a/_images/sphx_glr_reinforcement_q_learning_001.png b/_images/sphx_glr_reinforcement_q_learning_001.png
diff --git a/_images/sphx_glr_spatial_transformer_tutorial_001.png b/_images/sphx_glr_spatial_transformer_tutorial_001.png
diff --git a/_images/sphx_glr_torchvision_tutorial_002.png b/_images/sphx_glr_torchvision_tutorial_002.png
diff --git a/_sources/advanced/coding_ddpg.rst.txt b/_sources/advanced/coding_ddpg.rst.txt
@@ -1632,26 +1632,26 @@ modules we need.
 
 
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+    reward: -4.72 (r0 = -2.76), reward eval: reward: -5.39, reward normalized=-3.49/4.19, grad norm= 133.24, loss_value= 169.25, loss_actor= 14.39, target value: -24.45: : 10400it [00:25, 268.73it/s]
 
 
 
@@ -1721,7 +1721,7 @@ To iterate further on this loss module we might consider:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  41.549 seconds)
+   **Total running time of the script:** ( 0 minutes  40.906 seconds)
 
 
 .. _sphx_glr_download_advanced_coding_ddpg.py:

diff --git a/_sources/advanced/dynamic_quantization_tutorial.rst.txt b/_sources/advanced/dynamic_quantization_tutorial.rst.txt
@@ -516,9 +516,9 @@ models run single threaded.
  .. code-block:: none
 
     loss: 5.167
-    elapsed time (seconds): 206.3
+    elapsed time (seconds): 205.3
     loss: 5.168
-    elapsed time (seconds): 116.9
+    elapsed time (seconds): 117.6
 
 
 
@@ -540,7 +540,7 @@ Thanks for reading! As always, we welcome any feedback, so please create an issu
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 5 minutes  32.168 seconds)
+   **Total running time of the script:** ( 5 minutes  31.684 seconds)
 
 
 .. _sphx_glr_download_advanced_dynamic_quantization_tutorial.py:

diff --git a/_sources/advanced/neural_style_tutorial.rst.txt b/_sources/advanced/neural_style_tutorial.rst.txt
@@ -410,41 +410,39 @@ network to evaluation mode using ``.eval()``.
     Downloading: "https://download.pytorch.org/models/vgg19-dcbb9e9d.pth" to /var/lib/ci-user/.cache/torch/hub/checkpoints/vgg19-dcbb9e9d.pth
 
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@@ -765,22 +763,22 @@ Finally, we can run the algorithm.
 
     Optimizing..
     run [50]:
-    Style Loss : 4.037464 Content Loss: 4.144108
+    Style Loss : 4.108783 Content Loss: 4.076407
 
     run [100]:
-    Style Loss : 1.150719 Content Loss: 3.040204
+    Style Loss : 1.131557 Content Loss: 3.022170
 
     run [150]:
-    Style Loss : 0.710417 Content Loss: 2.655678
+    Style Loss : 0.701424 Content Loss: 2.643672
 
     run [200]:
-    Style Loss : 0.479242 Content Loss: 2.487361
+    Style Loss : 0.470905 Content Loss: 2.488043
 
     run [250]:
-    Style Loss : 0.344841 Content Loss: 2.403615
+    Style Loss : 0.342489 Content Loss: 2.402129
 
     run [300]:
-    Style Loss : 0.262127 Content Loss: 2.350151
+    Style Loss : 0.262571 Content Loss: 2.348458
 
 
 
@@ -789,7 +787,7 @@ Finally, we can run the algorithm.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  37.689 seconds)
+   **Total running time of the script:** ( 0 minutes  37.426 seconds)
 
 
 .. _sphx_glr_download_advanced_neural_style_tutorial.py:

diff --git a/_sources/advanced/numpy_extensions_tutorial.rst.txt b/_sources/advanced/numpy_extensions_tutorial.rst.txt
@@ -303,7 +303,7 @@ The backward pass computes the gradient ``wrt`` the input and the gradient ``wrt
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.560 seconds)
+   **Total running time of the script:** ( 0 minutes  0.619 seconds)
 
 
 .. _sphx_glr_download_advanced_numpy_extensions_tutorial.py: