Automated tutorials push

pytorch · Jul 15, 2024 · 7d3021a · 7d3021a
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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": "c338aa9a",
+   "id": "c9887eb2",
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@@ -50,7 +50,7 @@
   },
   {
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-   "id": "1425faf3",
+   "id": "97e989fc",
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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": "bf671db4",
+   "id": "693f57f4",
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@@ -47,7 +47,7 @@
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+   "id": "f05af391",
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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": "7bf7fbaa",
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@@ -50,7 +50,7 @@
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+   "id": "7369a4bc",
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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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@@ -51,7 +51,7 @@
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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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@@ -53,7 +53,7 @@
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-   "id": "c9b546a5",
+   "id": "c7acdec3",
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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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diff --git a/_downloads/ed9d4f94afb79f7dada6742a06c486a5/autogradyt_tutorial.ipynb b/_downloads/ed9d4f94afb79f7dada6742a06c486a5/autogradyt_tutorial.ipynb
@@ -34,7 +34,7 @@
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@@ -50,7 +50,7 @@
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-   "id": "496e5d03",
+   "id": "2a29a41c",
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diff --git a/_downloads/fe726e041160526cf828806536922cf6/modelsyt_tutorial.ipynb b/_downloads/fe726e041160526cf828806536922cf6/modelsyt_tutorial.ipynb
@@ -34,7 +34,7 @@
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@@ -50,7 +50,7 @@
   },
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-   "id": "ba1af94e",
+   "id": "cb906f49",
    "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: -0.14 (r0 = -3.53), reward eval: reward:  0.00, reward normalized=-2.66/5.98, grad norm= 175.37, loss_value= 309.10, loss_actor= 13.68, target value: -16.84:  64%|######4   | 6400/10000 [00:10<00:05, 650.90it/s]
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+    reward: -4.63 (r0 = -1.80), reward eval: reward: -5.60, reward normalized=-3.42/4.15, grad norm= 91.74, loss_value= 184.88, loss_actor= 23.50, target value: -23.91: : 10400it [00:25, 267.97it/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  40.968 seconds)
+   **Total running time of the script:** ( 0 minutes  40.982 seconds)
 
 
 .. _sphx_glr_download_advanced_coding_ddpg.py:

diff --git a/_sources/advanced/cpp_export.rst.txt b/_sources/advanced/cpp_export.rst.txt
@@ -203,7 +203,7 @@ minimal ``CMakeLists.txt`` to build it could look as simple as:
 
   add_executable(example-app example-app.cpp)
   target_link_libraries(example-app "${TORCH_LIBRARIES}")
-  set_property(TARGET example-app PROPERTY CXX_STANDARD 14)
+  set_property(TARGET example-app PROPERTY CXX_STANDARD 17)
 
 The last thing we need to build the example application is the LibTorch
 distribution. You can always grab the latest stable release from the `download

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): 203.1
+    elapsed time (seconds): 203.8
     loss: 5.168
-    elapsed time (seconds): 112.0
+    elapsed time (seconds): 113.0
 
 
 
@@ -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  23.825 seconds)
+   **Total running time of the script:** ( 5 minutes  25.353 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
@@ -410,38 +410,38 @@ 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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@@ -762,22 +762,22 @@ Finally, we can run the algorithm.
 
     Optimizing..
     run [50]:
-    Style Loss : 4.040166 Content Loss: 4.149802
+    Style Loss : 4.013772 Content Loss: 4.119182
 
     run [100]:
-    Style Loss : 1.123524 Content Loss: 3.017745
+    Style Loss : 1.116340 Content Loss: 3.006091
 
     run [150]:
-    Style Loss : 0.708131 Content Loss: 2.645621
+    Style Loss : 0.704913 Content Loss: 2.643375
 
     run [200]:
-    Style Loss : 0.476169 Content Loss: 2.487843
+    Style Loss : 0.473614 Content Loss: 2.488759
 
     run [250]:
-    Style Loss : 0.344700 Content Loss: 2.400110
+    Style Loss : 0.339164 Content Loss: 2.398316
 
     run [300]:
-    Style Loss : 0.262838 Content Loss: 2.348528
+    Style Loss : 0.263078 Content Loss: 2.346137
 
 
 
@@ -786,7 +786,7 @@ Finally, we can run the algorithm.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  37.573 seconds)
+   **Total running time of the script:** ( 0 minutes  37.240 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  0.602 seconds)
+   **Total running time of the script:** ( 0 minutes  0.641 seconds)
 
 
 .. _sphx_glr_download_advanced_numpy_extensions_tutorial.py: