Automated tutorials push

Author: pytorchbot

_downloads/3195443a0ced3cabc0ad643537bdb5cd/introyt1_tutorial.ipynb

@@ -34,7 +34,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "d7708e17",
+   "id": "3fbaa42d",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -50,7 +50,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "63ab78ce",
+   "id": "631e54b6",
    "metadata": {},
    "source": [
     "\n",

_downloads/4355e2cef7d17548f1e25f97a62828c4/template_tutorial.ipynb

@@ -31,7 +31,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "6a6e5d80",
+   "id": "243e20eb",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -47,7 +47,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "278f3a56",
+   "id": "d87c0429",
    "metadata": {},
    "source": [
     "\n",

_downloads/63a0f0fc7b3ffb15d3a5ac8db3d521ee/tensors_deeper_tutorial.ipynb

@@ -34,7 +34,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "c2790537",
+   "id": "fdaed460",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -50,7 +50,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "937f0ca4",
+   "id": "e50880ea",
    "metadata": {},
    "source": [
     "\n",

_downloads/770632dd3941d2a51b831c52ded57aa2/trainingyt.ipynb

@@ -35,7 +35,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "74832a0b",
+   "id": "b05c97eb",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -51,7 +51,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8b9a47f2",
+   "id": "3d043e79",
    "metadata": {},
    "source": [
     "\n",

_downloads/c28f42852d456daf9af72da6c6909556/captumyt.ipynb

@@ -37,7 +37,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "69502362",
+   "id": "bcbad24c",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -53,7 +53,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6250cebb",
+   "id": "4e80cc63",
    "metadata": {},
    "source": [
     "\n",

_downloads/e2e556f6b4693c2cef716dd7f40caaf6/tensorboardyt_tutorial.ipynb

@@ -35,7 +35,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "ea77af54",
+   "id": "2ffcd889",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -51,7 +51,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2a195dba",
+   "id": "ad903238",
    "metadata": {},
    "source": [
     "\n",

_downloads/ed9d4f94afb79f7dada6742a06c486a5/autogradyt_tutorial.ipynb

@@ -34,7 +34,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "6ba948e6",
+   "id": "44844848",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -50,7 +50,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1295a591",
+   "id": "2321d663",
    "metadata": {},
    "source": [
     "\n",

_downloads/fe726e041160526cf828806536922cf6/modelsyt_tutorial.ipynb

@@ -34,7 +34,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "c8f0d479",
+   "id": "e9ca788f",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -50,7 +50,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3c82d419",
+   "id": "3f5a7f48",
    "metadata": {},
    "source": [
     "\n",

_images/sphx_glr_char_rnn_classification_tutorial_001.png

@@ -517,9 +517,9 @@ models run single threaded.
  .. code-block:: none
 
     loss: 5.167
-    elapsed time (seconds): 203.5
+    elapsed time (seconds): 212.5
     loss: 5.168
-    elapsed time (seconds): 117.9
+    elapsed time (seconds): 120.8
 
 
 
@@ -541,7 +541,7 @@ 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  30.708 seconds)
+   **Total running time of the script:** ( 5 minutes  43.181 seconds)
 
 
 .. _sphx_glr_download_advanced_dynamic_quantization_tutorial.py:

_images/sphx_glr_char_rnn_classification_tutorial_002.png

@@ -410,21 +410,19 @@ 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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@@ -745,22 +743,22 @@ Finally, we can run the algorithm.
 
     Optimizing..
     run [50]:
-    Style Loss : 4.193204 Content Loss: 4.201780
+    Style Loss : 4.339563 Content Loss: 4.217568
 
     run [100]:
-    Style Loss : 1.132317 Content Loss: 3.019967
+    Style Loss : 1.126219 Content Loss: 3.017416
 
     run [150]:
-    Style Loss : 0.703063 Content Loss: 2.638552
+    Style Loss : 0.711512 Content Loss: 2.645246
 
     run [200]:
-    Style Loss : 0.470786 Content Loss: 2.486075
+    Style Loss : 0.482416 Content Loss: 2.489322
 
     run [250]:
-    Style Loss : 0.342314 Content Loss: 2.399873
+    Style Loss : 0.347901 Content Loss: 2.402683
 
     run [300]:
-    Style Loss : 0.261642 Content Loss: 2.346204
+    Style Loss : 0.264612 Content Loss: 2.347511
 
 
 
@@ -769,7 +767,7 @@ Finally, we can run the algorithm.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  11.644 seconds)
+   **Total running time of the script:** ( 0 minutes  11.418 seconds)
 
 
 .. _sphx_glr_download_advanced_neural_style_tutorial.py:

_images/sphx_glr_neural_style_tutorial_004.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  0.375 seconds)
+   **Total running time of the script:** ( 0 minutes  0.379 seconds)
 
 
 .. _sphx_glr_download_advanced_numpy_extensions_tutorial.py:

_images/sphx_glr_reinforcement_q_learning_001.png

@@ -487,7 +487,7 @@ For more detailed information, see:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  2.376 seconds)
+   **Total running time of the script:** ( 0 minutes  3.355 seconds)
 
 
 .. _sphx_glr_download_advanced_python_custom_ops.py:

_images/sphx_glr_spatial_transformer_tutorial_001.png

@@ -70,7 +70,7 @@ model from C++.
 
     2.7.0+cu126
 
-    <torch._C.Generator object at 0x7f59a838e470>
+    <torch._C.Generator object at 0x7f57f2d96470>
 
 
 
@@ -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  0.149 seconds)
+   **Total running time of the script:** ( 0 minutes  0.150 seconds)
 
 
 .. _sphx_glr_download_beginner_Intro_to_TorchScript_tutorial.py:

_images/sphx_glr_torchvision_tutorial_002.png

@@ -113,8 +113,8 @@ documentation <https://pytorch.org/docs/stable/autograd.html#function>`__.
 
  .. code-block:: none
 
-    Gradient function for z = <AddBackward0 object at 0x7fdf43ac6440>
-    Gradient function for loss = <BinaryCrossEntropyWithLogitsBackward0 object at 0x7fdf43ac7f40>
+    Gradient function for z = <AddBackward0 object at 0x7f97c68fd930>
+    Gradient function for loss = <BinaryCrossEntropyWithLogitsBackward0 object at 0x7f97c68fc640>
 
 
 
@@ -395,7 +395,7 @@ Further Reading
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.008 seconds)
+   **Total running time of the script:** ( 0 minutes  0.010 seconds)
 
 
 .. _sphx_glr_download_beginner_basics_autogradqs_tutorial.py:

_sources/advanced/dynamic_quantization_tutorial.rst.txt

@@ -475,7 +475,7 @@ Further Reading
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  0.502 seconds)
+   **Total running time of the script:** ( 0 minutes  0.497 seconds)
 
 
 .. _sphx_glr_download_beginner_basics_buildmodel_tutorial.py:

_sources/advanced/neural_style_tutorial.rst.txt

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@@ -423,7 +423,7 @@ Further Reading
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  4.934 seconds)
+   **Total running time of the script:** ( 0 minutes  4.909 seconds)
 
 
 .. _sphx_glr_download_beginner_basics_data_tutorial.py: