Automated tutorials push

Author: pytorchbot

_images/sphx_glr_coding_ddpg_001.png

@@ -1649,26 +1649,26 @@ modules we need.
 
 
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+    reward: -1.02 (r0 = -1.78), reward eval: reward: -1.97, reward normalized=-2.69/4.96, grad norm= 80.73, loss_value= 193.05, loss_actor= 12.62, target value: -19.78: : 10400it [00:37, 186.18it/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  48.741 seconds)
+   **Total running time of the script:** ( 0 minutes  49.185 seconds)
 
 
 .. _sphx_glr_download_advanced_coding_ddpg.py:

_images/sphx_glr_neural_style_tutorial_004.png

@@ -516,9 +516,9 @@ models run single threaded.
  .. code-block:: none
 
     loss: 5.167
-    elapsed time (seconds): 197.7
+    elapsed time (seconds): 208.1
     loss: 5.168
-    elapsed time (seconds): 111.3
+    elapsed time (seconds): 110.6
 
 
 
@@ -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  17.583 seconds)
+   **Total running time of the script:** ( 5 minutes  27.645 seconds)
 
 
 .. _sphx_glr_download_advanced_dynamic_quantization_tutorial.py:

_images/sphx_glr_reinforcement_ppo_001.png

@@ -418,31 +418,33 @@ 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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@@ -763,22 +765,22 @@ Finally, we can run the algorithm.
 
     Optimizing..
     run [50]:
-    Style Loss : 3.963342 Content Loss: 4.128072
+    Style Loss : 3.925065 Content Loss: 4.095909
 
     run [100]:
-    Style Loss : 1.114517 Content Loss: 3.005954
+    Style Loss : 1.121871 Content Loss: 3.025715
 
     run [150]:
-    Style Loss : 0.695908 Content Loss: 2.643757
+    Style Loss : 0.711819 Content Loss: 2.646153
 
     run [200]:
-    Style Loss : 0.471252 Content Loss: 2.484256
+    Style Loss : 0.476352 Content Loss: 2.487876
 
     run [250]:
-    Style Loss : 0.342237 Content Loss: 2.396420
+    Style Loss : 0.346117 Content Loss: 2.399930
 
     run [300]:
-    Style Loss : 0.263912 Content Loss: 2.348776
+    Style Loss : 0.263507 Content Loss: 2.347996
 
 
 
@@ -787,7 +789,7 @@ Finally, we can run the algorithm.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  36.313 seconds)
+   **Total running time of the script:** ( 0 minutes  37.084 seconds)
 
 
 .. _sphx_glr_download_advanced_neural_style_tutorial.py:

_images/sphx_glr_reinforcement_q_learning_001.png

@@ -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  0.699 seconds)
+   **Total running time of the script:** ( 0 minutes  0.684 seconds)
 
 
 .. _sphx_glr_download_advanced_numpy_extensions_tutorial.py:

_images/sphx_glr_spatial_transformer_tutorial_001.png

@@ -68,7 +68,7 @@ model from C++.
 
     2.0.1+cu117
 
-    <torch._C.Generator object at 0x7ff3bc79edb0>
+    <torch._C.Generator object at 0x7f716a236db0>
 
 
 
@@ -808,7 +808,7 @@ https://colab.research.google.com/drive/1HiICg6jRkBnr5hvK2-VnMi88Vi9pUzEJ
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  2.209 seconds)
+   **Total running time of the script:** ( 0 minutes  2.310 seconds)
 
 
 .. _sphx_glr_download_beginner_Intro_to_TorchScript_tutorial.py:

_sources/advanced/coding_ddpg.rst.txt

@@ -113,8 +113,8 @@ documentation <https://pytorch.org/docs/stable/autograd.html#function>`__.
 
  .. code-block:: none
 
-    Gradient function for z = <AddBackward0 object at 0x7fde60a3f280>
-    Gradient function for loss = <BinaryCrossEntropyWithLogitsBackward0 object at 0x7fde60a3eb60>
+    Gradient function for z = <AddBackward0 object at 0x7f6175b58d60>
+    Gradient function for loss = <BinaryCrossEntropyWithLogitsBackward0 object at 0x7f6175b58a30>
 
 
 
@@ -395,7 +395,7 @@ Further Reading
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.012 seconds)
+   **Total running time of the script:** ( 0 minutes  0.011 seconds)
 
 
 .. _sphx_glr_download_beginner_basics_autogradqs_tutorial.py:

_sources/advanced/dynamic_quantization_tutorial.rst.txt

@@ -482,7 +482,7 @@ Further Reading
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.031 seconds)
+   **Total running time of the script:** ( 0 minutes  0.032 seconds)
 
 
 .. _sphx_glr_download_beginner_basics_buildmodel_tutorial.py:

_sources/advanced/neural_style_tutorial.rst.txt

@@ -103,49 +103,46 @@ We load the `FashionMNIST Dataset <https://pytorch.org/vision/stable/datasets.ht
     Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-images-idx3-ubyte.gz to data/FashionMNIST/raw/train-images-idx3-ubyte.gz
 
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     Extracting data/FashionMNIST/raw/train-images-idx3-ubyte.gz to data/FashionMNIST/raw
 
     Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-labels-idx1-ubyte.gz
     Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-labels-idx1-ubyte.gz to data/FashionMNIST/raw/train-labels-idx1-ubyte.gz
 
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     Extracting data/FashionMNIST/raw/train-labels-idx1-ubyte.gz to data/FashionMNIST/raw
 
     Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-images-idx3-ubyte.gz
     Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-images-idx3-ubyte.gz to data/FashionMNIST/raw/t10k-images-idx3-ubyte.gz
 
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+      1%|1         | 65536/4422102 [00:00<00:11, 379470.12it/s]
+      5%|5         | 229376/4422102 [00:00<00:05, 715735.79it/s]
+     21%|##1       | 950272/4422102 [00:00<00:01, 2298564.76it/s]
+     69%|######8   | 3047424/4422102 [00:00<00:00, 7423657.83it/s]
+    100%|##########| 4422102/4422102 [00:00<00:00, 6287836.52it/s]
     Extracting data/FashionMNIST/raw/t10k-images-idx3-ubyte.gz to data/FashionMNIST/raw
 
     Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-labels-idx1-ubyte.gz
     Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-labels-idx1-ubyte.gz to data/FashionMNIST/raw/t10k-labels-idx1-ubyte.gz
 
       0%|          | 0/5148 [00:00<?, ?it/s]
-    100%|##########| 5148/5148 [00:00<00:00, 40059883.10it/s]
+    100%|##########| 5148/5148 [00:00<00:00, 46137344.00it/s]
     Extracting data/FashionMNIST/raw/t10k-labels-idx1-ubyte.gz to data/FashionMNIST/raw
 
 
@@ -446,7 +443,7 @@ Further Reading
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  5.463 seconds)
+   **Total running time of the script:** ( 0 minutes  7.451 seconds)
 
 
 .. _sphx_glr_download_beginner_basics_data_tutorial.py: