Automated tutorials push

Author: pytorchbot

_downloads/3195443a0ced3cabc0ad643537bdb5cd/introyt1_tutorial.ipynb

@@ -34,7 +34,7 @@
   {
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-   "id": "fac5891a",
+   "id": "e21d6d13",
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    "outputs": [],
    "source": [
@@ -50,7 +50,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "98badc00",
+   "id": "18d6ef3a",
    "metadata": {},
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     "\n",

_downloads/4355e2cef7d17548f1e25f97a62828c4/template_tutorial.ipynb

@@ -31,7 +31,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "e7dbf541",
+   "id": "5daef5de",
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    "outputs": [],
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@@ -47,7 +47,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ce09721d",
+   "id": "ff0d786d",
    "metadata": {},
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     "\n",

_downloads/63a0f0fc7b3ffb15d3a5ac8db3d521ee/tensors_deeper_tutorial.ipynb

@@ -34,7 +34,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "46e0447c",
+   "id": "c9293eb6",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -50,7 +50,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "10ad5c81",
+   "id": "631027ae",
    "metadata": {},
    "source": [
     "\n",

_downloads/770632dd3941d2a51b831c52ded57aa2/trainingyt.ipynb

@@ -35,7 +35,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "e8a82bab",
+   "id": "10252222",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -51,7 +51,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "215cb1e2",
+   "id": "9865b0e4",
    "metadata": {},
    "source": [
     "\n",

_downloads/8d83c5b10438a4bcc94963daaddeaeec/torchrec_intro_tutorial.ipynb

@@ -46,7 +46,12 @@
     "!pip3 install fbgemm_gpu --index-url https://download.pytorch.org/whl/cu121\n",
     "!pip3 install torchmetrics==1.0.3\n",
     "!pip3 install torchrec --index-url https://download.pytorch.org/whl/cu121\n",
-    "```\n"
+    "```\n",
+    "\n",
+    "<div style=\"background-color: #54c7ec; color: #fff; font-weight: 700; padding-left: 10px; padding-top: 5px; padding-bottom: 5px\"><strong>NOTE:</strong></div>\n",
+    "<div style=\"background-color: #f3f4f7; padding-left: 10px; padding-top: 10px; padding-bottom: 10px; padding-right: 10px\">\n",
+    "<p>If you are running this in Google Colab, make sure to switch to a GPU runtime type.For more information,see <a href=\"https://pytorch.org/tutorials/beginner/colab#enabling-cuda\">Enabling CUDA</a></p>\n",
+    "</div>\n"
    ]
   },
   {
@@ -262,14 +267,14 @@
    "metadata": {},
    "source": [
     "TorchRec Modules and Data Types\n",
-    "\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\--\n",
+    "===============================\n",
     "\n",
     "This section goes over TorchRec Modules and data types including such\n",
     "entities as `EmbeddingCollection` and `EmbeddingBagCollection`,\n",
     "`JaggedTensor`, `KeyedJaggedTensor`, `KeyedTensor` and more.\n",
     "\n",
     "From `EmbeddingBag` to `EmbeddingBagCollection`\n",
-    "===============================================\n",
+    "-----------------------------------------------\n",
     "\n",
     "We have already explored `torch.nn.Embedding`{.interpreted-text\n",
     "role=\"class\"} and `torch.nn.EmbeddingBag`{.interpreted-text\n",

_downloads/b07b6a647a3bf9e6882df8ca2cc20e8b/torchrec_intro_tutorial.py

@@ -39,6 +39,12 @@
 #    !pip3 install fbgemm_gpu --index-url https://download.pytorch.org/whl/cu121
 #    !pip3 install torchmetrics==1.0.3
 #    !pip3 install torchrec --index-url https://download.pytorch.org/whl/cu121
+#
+# .. note:: 
+#    If you are running this in Google Colab, make sure to switch to a GPU runtime type.
+#    For more information,
+#    see `Enabling CUDA <https://pytorch.org/tutorials/beginner/colab#enabling-cuda>`__
+#
 
 
 
@@ -217,7 +223,7 @@
 
 ######################################################################
 # TorchRec Modules and Data Types
-# ------------------------------
+# ----------------------------------
 # 
 # This section goes over TorchRec Modules and data types including such
 # entities as ``EmbeddingCollection`` and ``EmbeddingBagCollection``,

_downloads/c28f42852d456daf9af72da6c6909556/captumyt.ipynb

@@ -37,7 +37,7 @@
   {
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-   "id": "cd23ede1",
+   "id": "ac307009",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -53,7 +53,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8e244018",
+   "id": "27f72e94",
    "metadata": {},
    "source": [
     "\n",

_downloads/e2e556f6b4693c2cef716dd7f40caaf6/tensorboardyt_tutorial.ipynb

@@ -35,7 +35,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "135cf2dd",
+   "id": "a754d347",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -51,7 +51,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c30dda37",
+   "id": "c749bfd3",
    "metadata": {},
    "source": [
     "\n",

_downloads/ed9d4f94afb79f7dada6742a06c486a5/autogradyt_tutorial.ipynb

@@ -34,7 +34,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "493e73f9",
+   "id": "9afd02ac",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -50,7 +50,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5d4f5407",
+   "id": "ed756c58",
    "metadata": {},
    "source": [
     "\n",

_downloads/fe726e041160526cf828806536922cf6/modelsyt_tutorial.ipynb

@@ -34,7 +34,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "a111e54d",
+   "id": "25e84770",
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    "outputs": [],
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   },
   {
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-   "id": "f89240d0",
+   "id": "e625739c",
    "metadata": {},
    "source": [
     "\n",