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Jun 17, 2022
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Fix all broken URLs (#6176) #6177

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4 changes: 2 additions & 2 deletions torchvision/datasets/caltech.py
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Expand Up @@ -9,7 +9,7 @@


class Caltech101(VisionDataset):
"""`Caltech 101 <http://www.vision.caltech.edu/Image_Datasets/Caltech101/>`_ Dataset.
"""`Caltech 101 <https://data.caltech.edu/records/20086>`_ Dataset.

.. warning::

Expand Down Expand Up @@ -146,7 +146,7 @@ def extra_repr(self) -> str:


class Caltech256(VisionDataset):
"""`Caltech 256 <http://www.vision.caltech.edu/Image_Datasets/Caltech256/>`_ Dataset.
"""`Caltech 256 <https://data.caltech.edu/records/20087>`_ Dataset.

Args:
root (string): Root directory of dataset where directory
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2 changes: 1 addition & 1 deletion torchvision/datasets/kinetics.py
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Expand Up @@ -21,7 +21,7 @@ def _dl_wrap(tarpath: str, videopath: str, line: str) -> None:


class Kinetics(VisionDataset):
"""`Generic Kinetics <https://deepmind.com/research/open-source/open-source-datasets/kinetics/>`_
"""`Generic Kinetics <https://www.deepmind.com/open-source/kinetics>`_
dataset.

Kinetics-400/600/700 are action recognition video datasets.
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2 changes: 1 addition & 1 deletion torchvision/models/quantization/googlenet.py
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Expand Up @@ -165,7 +165,7 @@ def googlenet(
quantize (bool, optional): If True, return a quantized version of the model. Default is False.
**kwargs: parameters passed to the ``torchvision.models.quantization.QuantizableGoogLeNet``
base class. Please refer to the `source code
<https://github.com/pytorch/vision/blob/main/torchvision/models/quantization.googlenet.py>`_
<https://github.com/pytorch/vision/blob/main/torchvision/models/quantization/googlenet.py>`_
for more details about this class.

.. autoclass:: torchvision.models.quantization.GoogLeNet_QuantizedWeights
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8 changes: 4 additions & 4 deletions torchvision/models/quantization/resnet.py
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Expand Up @@ -302,7 +302,7 @@ def resnet18(
quantize (bool, optional): If True, return a quantized version of the model. Default is False.
**kwargs: parameters passed to the ``torchvision.models.quantization.QuantizableResNet``
base class. Please refer to the `source code
<https://github.com/pytorch/vision/blob/main/torchvision/models/quantization.resnet.py>`_
<https://github.com/pytorch/vision/blob/main/torchvision/models/quantization/resnet.py>`_
for more details about this class.

.. autoclass:: torchvision.models.quantization.ResNet18_QuantizedWeights
Expand Down Expand Up @@ -351,7 +351,7 @@ def resnet50(
quantize (bool, optional): If True, return a quantized version of the model. Default is False.
**kwargs: parameters passed to the ``torchvision.models.quantization.QuantizableResNet``
base class. Please refer to the `source code
<https://github.com/pytorch/vision/blob/main/torchvision/models/quantization.resnet.py>`_
<https://github.com/pytorch/vision/blob/main/torchvision/models/quantization/resnet.py>`_
for more details about this class.

.. autoclass:: torchvision.models.quantization.ResNet50_QuantizedWeights
Expand Down Expand Up @@ -400,7 +400,7 @@ def resnext101_32x8d(
quantize (bool, optional): If True, return a quantized version of the model. Default is False.
**kwargs: parameters passed to the ``torchvision.models.quantization.QuantizableResNet``
base class. Please refer to the `source code
<https://github.com/pytorch/vision/blob/main/torchvision/models/quantization.resnet.py>`_
<https://github.com/pytorch/vision/blob/main/torchvision/models/quantization/resnet.py>`_
for more details about this class.

.. autoclass:: torchvision.models.quantization.ResNeXt101_32X8D_QuantizedWeights
Expand Down Expand Up @@ -443,7 +443,7 @@ def resnext101_64x4d(
quantize (bool, optional): If True, return a quantized version of the model. Default is False.
**kwargs: parameters passed to the ``torchvision.models.quantization.QuantizableResNet``
base class. Please refer to the `source code
<https://github.com/pytorch/vision/blob/main/torchvision/models/quantization.resnet.py>`_
<https://github.com/pytorch/vision/blob/main/torchvision/models/quantization/resnet.py>`_
for more details about this class.

.. autoclass:: torchvision.models.quantization.ResNeXt101_64X4D_QuantizedWeights
Expand Down