Automated tutorials push

Author: pytorchbot

_downloads/3195443a0ced3cabc0ad643537bdb5cd/introyt1_tutorial.ipynb

@@ -34,7 +34,7 @@
   {
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-   "id": "91ce1b03",
+   "id": "13956959",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -50,7 +50,7 @@
   },
   {
    "cell_type": "markdown",
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+   "id": "e51291ba",
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    "source": [
     "\n",

_downloads/4355e2cef7d17548f1e25f97a62828c4/template_tutorial.ipynb

@@ -31,7 +31,7 @@
   {
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    "execution_count": null,
-   "id": "26a1f870",
+   "id": "6b43a021",
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@@ -47,7 +47,7 @@
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   {
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+   "id": "110ad6fd",
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     "\n",

_downloads/63a0f0fc7b3ffb15d3a5ac8db3d521ee/tensors_deeper_tutorial.ipynb

@@ -34,7 +34,7 @@
   {
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    "execution_count": null,
-   "id": "fcf61cdc",
+   "id": "e80ad3a5",
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    "source": [
@@ -50,7 +50,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "33507b4e",
+   "id": "6cf3f8f0",
    "metadata": {},
    "source": [
     "\n",

_downloads/770632dd3941d2a51b831c52ded57aa2/trainingyt.ipynb

@@ -35,7 +35,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "e0923e32",
+   "id": "53f250f7",
    "metadata": {},
    "outputs": [],
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@@ -51,7 +51,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3b2b3c77",
+   "id": "870d030f",
    "metadata": {},
    "source": [
     "\n",

_downloads/786469bd4d28fe2528b92a6d12fb189e/flask_rest_api_tutorial.ipynb

@@ -469,10 +469,7 @@
     "        tutorial](https://flask.palletsprojects.com/en/1.1.x/tutorial/deploy/)\n",
     "        for deploying a Flask server in production.\n",
     "    -   You can also add a UI by creating a page with a form which takes\n",
-    "        the image and displays the prediction. Check out the\n",
-    "        [demo](https://pytorch-imagenet.herokuapp.com/) of a similar\n",
-    "        project and its [source\n",
-    "        code](https://github.com/avinassh/pytorch-flask-api-heroku).\n",
+    "        the image and displays the prediction.\n",
     "    -   In this tutorial, we only showed how to build a service that\n",
     "        could return predictions for a single image at a time. We could\n",
     "        modify our service to be able to return predictions for multiple\n",

_downloads/b45d95b1d38fe556c77d1ee548809d28/flask_rest_api_tutorial.py

@@ -321,9 +321,7 @@ def get_prediction(image_bytes):
 #   for deploying a Flask server in production.
 #
 # - You can also add a UI by creating a page with a form which takes the image and
-#   displays the prediction. Check out the `demo <https://pytorch-imagenet.herokuapp.com/>`_
-#   of a similar project and its `source code <https://github.com/avinassh/pytorch-flask-api-heroku>`_.
-#
+#   displays the prediction. 
 # - In this tutorial, we only showed how to build a service that could return predictions for
 #   a single image at a time. We could modify our service to be able to return predictions for
 #   multiple images at once. In addition, the `service-streamer <https://github.com/ShannonAI/service-streamer>`_

_downloads/c28f42852d456daf9af72da6c6909556/captumyt.ipynb

@@ -37,7 +37,7 @@
   {
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    "execution_count": null,
-   "id": "74c62868",
+   "id": "9ed1b6b2",
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    "outputs": [],
    "source": [
@@ -53,7 +53,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "358826a7",
+   "id": "894d62d7",
    "metadata": {},
    "source": [
     "\n",

_downloads/e2e556f6b4693c2cef716dd7f40caaf6/tensorboardyt_tutorial.ipynb

@@ -35,7 +35,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "be005286",
+   "id": "c520ec0a",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -51,7 +51,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c0e01774",
+   "id": "a70ae359",
    "metadata": {},
    "source": [
     "\n",

_downloads/ed9d4f94afb79f7dada6742a06c486a5/autogradyt_tutorial.ipynb

@@ -34,7 +34,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "0813ff8d",
+   "id": "9895a563",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -50,7 +50,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "79c60e38",
+   "id": "292ac1d4",
    "metadata": {},
    "source": [
     "\n",

_downloads/fe726e041160526cf828806536922cf6/modelsyt_tutorial.ipynb

@@ -34,7 +34,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "129f8492",
+   "id": "b5d82bac",
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    "outputs": [],
    "source": [
@@ -50,7 +50,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "814173f7",
+   "id": "8de2a0c6",
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     "\n",