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pytorch · Jan 16, 2024 · 8d94525 · 8d94525
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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
@@ -1649,26 +1649,26 @@ modules we need.
 
 
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+    reward: -4.54 (r0 = -1.60), reward eval: reward: -5.16, reward normalized=-2.93/4.50, grad norm= 95.65, loss_value= 195.73, loss_actor= 14.44, target value: -20.43:  96%|#########6| 9600/10000 [00:21<00:01, 265.19it/s]
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+    reward: -9.13 (r0 = -1.60), reward eval: reward: -5.16, reward normalized=-3.18/5.50, grad norm= 141.52, loss_value= 258.12, loss_actor= 21.03, target value: -22.15: : 10400it [00:24, 279.89it/s]
 
 
 
@@ -1738,7 +1738,7 @@ To iterate further on this loss module we might consider:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  31.452 seconds)
+   **Total running time of the script:** ( 0 minutes  30.685 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): 203.8
+    elapsed time (seconds): 213.2
     loss: 5.168
-    elapsed time (seconds): 116.0
+    elapsed time (seconds): 115.7
 
 
 
@@ -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  28.618 seconds)
+   **Total running time of the script:** ( 5 minutes  38.073 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
@@ -410,45 +410,45 @@ network to evaluation mode using ``.eval()``.
     Downloading: "https://download.pytorch.org/models/vgg19-dcbb9e9d.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/vgg19-dcbb9e9d.pth
 
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@@ -769,22 +769,22 @@ Finally, we can run the algorithm.
 
     Optimizing..
     run [50]:
-    Style Loss : 4.205052 Content Loss: 4.115046
+    Style Loss : 3.941625 Content Loss: 4.078473
 
     run [100]:
-    Style Loss : 1.159382 Content Loss: 3.048042
+    Style Loss : 1.139907 Content Loss: 3.019051
 
     run [150]:
-    Style Loss : 0.725685 Content Loss: 2.664803
+    Style Loss : 0.716969 Content Loss: 2.652961
 
     run [200]:
-    Style Loss : 0.484354 Content Loss: 2.496711
+    Style Loss : 0.476380 Content Loss: 2.486228
 
     run [250]:
-    Style Loss : 0.350218 Content Loss: 2.408220
+    Style Loss : 0.344488 Content Loss: 2.401075
 
     run [300]:
-    Style Loss : 0.267636 Content Loss: 2.352090
+    Style Loss : 0.262781 Content Loss: 2.347618
 
 
 
@@ -793,7 +793,7 @@ Finally, we can run the algorithm.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  41.206 seconds)
+   **Total running time of the script:** ( 0 minutes  41.227 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  0.556 seconds)
+   **Total running time of the script:** ( 0 minutes  0.574 seconds)
 
 
 .. _sphx_glr_download_advanced_numpy_extensions_tutorial.py: