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datumbox merged 2 commits into from
Apr 27, 2022
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Fix alexnet docs #5905

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5397257
Fix alexnet docs
NicolasHug Apr 27, 2022
143c693
Merge branch 'main' into alexnetdocfic
datumbox Apr 27, 2022
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5 changes: 3 additions & 2 deletions docs/source/models/alexnet.rst
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Expand Up @@ -3,8 +3,9 @@ AlexNet

.. currentmodule:: torchvision.models

The AlexNet model is based on the `ImageNet Classification with Deep Convolutional Neural Networks
<https://papers.nips.cc/paper/2012/hash/c399862d3b9d6b76c8436e924a68c45b-Abstract.html>`__
The AlexNet model is based on the
`ImageNet Classification with Deep Convolutional Neural Networks
<https://papers.nips.cc/paper/2012/hash/c399862d3b9d6b76c8436e924a68c45b-Abstract.html>`__.
paper.


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40 changes: 20 additions & 20 deletions torchvision/models/alexnet.py
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Expand Up @@ -72,26 +72,26 @@ 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:
r"""AlexNet model architecture from the
`ImageNet Classification with Deep Convolutional Neural Networks
<https://papers.nips.cc/paper/2012/hash/c399862d3b9d6b76c8436e924a68c45b-Abstract.html>`_ paper.
The required minimum input size of the model is 63x63.

Args:
weights (:class:`~torchvision.models.AlexNet_Weights`, optional): The
pretrained weights to use. See
:class:`~torchvision.models.AlexNet_Weights` below for
more details, and possible values. By default, no pre-trained
weights are used.
progress (bool, optional): If True, displays a progress bar of the
download to stderr. Default is True.
**kwargs: parameters passed to the ``torchvision.models.squeezenet.AlexNet``
base class. Please refer to the `source code
<https://github.com/pytorch/vision/blob/main/torchvision/models/alexnet.py>`_
for more details about this class.

.. autoclass:: torchvision.models.AlexNet_Weights
:members:
"""AlexNet model architecture from the `ImageNet Classification with Deep Convolutional Neural Networks
<https://papers.nips.cc/paper/2012/hash/c399862d3b9d6b76c8436e924a68c45b-Abstract.html>`__ paper.

The required minimum input size of the model is 63x63.

Args:
weights (:class:`~torchvision.models.AlexNet_Weights`, optional): The
pretrained weights to use. See
:class:`~torchvision.models.AlexNet_Weights` below for
more details, and possible values. By default, no pre-trained
weights are used.
progress (bool, optional): If True, displays a progress bar of the
download to stderr. Default is True.
**kwargs: parameters passed to the ``torchvision.models.squeezenet.AlexNet``
base class. Please refer to the `source code
<https://github.com/pytorch/vision/blob/main/torchvision/models/alexnet.py>`_
for more details about this class.

.. autoclass:: torchvision.models.AlexNet_Weights
:members:
"""

weights = AlexNet_Weights.verify(weights)
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