From f9d3ded4da6c821223de59848fcdb3246c824b80 Mon Sep 17 00:00:00 2001
From: Nicolas Hug <contact@nicolas-hug.com>
Date: Sat, 7 May 2022 12:33:38 +0100
Subject: [PATCH 1/2] Fixing AlexNet references

---
 docs/source/models/alexnet.rst |  8 +++++---
 torchvision/models/alexnet.py  | 11 +++++++++--
 2 files changed, 14 insertions(+), 5 deletions(-)

diff --git a/docs/source/models/alexnet.rst b/docs/source/models/alexnet.rst
index 50d541632ef..080c241983b 100644
--- a/docs/source/models/alexnet.rst
+++ b/docs/source/models/alexnet.rst
@@ -3,10 +3,12 @@ AlexNet
 
 .. currentmodule:: torchvision.models
 
-The AlexNet model is based on the
+The AlexNet model was originally introduced in the
 `ImageNet Classification with Deep Convolutional Neural Networks
-<https://papers.nips.cc/paper/2012/hash/c399862d3b9d6b76c8436e924a68c45b-Abstract.html>`__.
-paper.
+<https://papers.nips.cc/paper/2012/hash/c399862d3b9d6b76c8436e924a68c45b-Abstract.html>`__
+paper. The implemented architecture is slightly different from the original one,
+and is based on `One weird trick for parallelizing convolutional neural networks
+<https://arxiv.org/abs/1404.5997>`__.
 
 
 Model builders
diff --git a/torchvision/models/alexnet.py b/torchvision/models/alexnet.py
index 5be705ca532..78e1d488844 100644
--- a/torchvision/models/alexnet.py
+++ b/torchvision/models/alexnet.py
@@ -72,8 +72,15 @@ class AlexNet_Weights(WeightsEnum):
 
 @handle_legacy_interface(weights=("pretrained", AlexNet_Weights.IMAGENET1K_V1))
 def alexnet(*, weights: Optional[AlexNet_Weights] = None, progress: bool = True, **kwargs: Any) -> AlexNet:
-    """AlexNet model architecture from the `ImageNet Classification with Deep Convolutional Neural Networks
-    <https://papers.nips.cc/paper/2012/hash/c399862d3b9d6b76c8436e924a68c45b-Abstract.html>`__ paper.
+    """AlexNet model architecture from `One weird trick for parallelizing convolutional neural networks
+<https://arxiv.org/abs/1404.5997>`__.
+
+    .. note::
+        AlexNet was originally introduced in the `ImageNet Classification with
+        Deep Convolutional Neural Networks
+        <https://papers.nips.cc/paper/2012/hash/c399862d3b9d6b76c8436e924a68c45b-Abstract.html>`__
+        paper. Our implementation is based instead on the "One weird trick"
+        paper above.
 
     The required minimum input size of the model is 63x63.
 

From fd3c5934332e49489735181a6fd7ab58926f918c Mon Sep 17 00:00:00 2001
From: Nicolas Hug <contact@nicolas-hug.com>
Date: Mon, 9 May 2022 13:32:28 +0100
Subject: [PATCH 2/2] Fix doc rendering

---
 torchvision/models/alexnet.py | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/torchvision/models/alexnet.py b/torchvision/models/alexnet.py
index 78e1d488844..97877c52060 100644
--- a/torchvision/models/alexnet.py
+++ b/torchvision/models/alexnet.py
@@ -72,8 +72,9 @@ class AlexNet_Weights(WeightsEnum):
 
 @handle_legacy_interface(weights=("pretrained", AlexNet_Weights.IMAGENET1K_V1))
 def alexnet(*, weights: Optional[AlexNet_Weights] = None, progress: bool = True, **kwargs: Any) -> AlexNet:
-    """AlexNet model architecture from `One weird trick for parallelizing convolutional neural networks
-<https://arxiv.org/abs/1404.5997>`__.
+    """AlexNet model architecture from `One weird trick for parallelizing convolutional neural networks <https://arxiv.org/abs/1404.5997>`__.
+
+    The required minimum input size of the model is 63x63.
 
     .. note::
         AlexNet was originally introduced in the `ImageNet Classification with
@@ -82,8 +83,6 @@ def alexnet(*, weights: Optional[AlexNet_Weights] = None, progress: bool = True,
         paper. Our implementation is based instead on the "One weird trick"
         paper above.
 
-    The required minimum input size of the model is 63x63.
-
     Args:
         weights (:class:`~torchvision.models.AlexNet_Weights`, optional): The
             pretrained weights to use. See