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Fix all broken URLs (#6176)
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torchvision/datasets/caltech.py

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class Caltech101(VisionDataset):
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"""`Caltech 101 <http://www.vision.caltech.edu/Image_Datasets/Caltech101/>`_ Dataset.
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"""`Caltech 101 <https://data.caltech.edu/records/20086>`_ Dataset.
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.. warning::
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class Caltech256(VisionDataset):
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"""`Caltech 256 <http://www.vision.caltech.edu/Image_Datasets/Caltech256/>`_ Dataset.
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"""`Caltech 256 <https://data.caltech.edu/records/20087>`_ Dataset.
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Args:
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root (string): Root directory of dataset where directory

torchvision/datasets/kinetics.py

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class Kinetics(VisionDataset):
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"""`Generic Kinetics <https://deepmind.com/research/open-source/open-source-datasets/kinetics/>`_
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"""`Generic Kinetics <https://www.deepmind.com/open-source/kinetics>`_
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dataset.
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Kinetics-400/600/700 are action recognition video datasets.

torchvision/models/quantization/googlenet.py

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quantize (bool, optional): If True, return a quantized version of the model. Default is False.
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**kwargs: parameters passed to the ``torchvision.models.quantization.QuantizableGoogLeNet``
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base class. Please refer to the `source code
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<https://github.com/pytorch/vision/blob/main/torchvision/models/quantization.googlenet.py>`_
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<https://github.com/pytorch/vision/blob/main/torchvision/models/quantization/googlenet.py>`_
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for more details about this class.
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.. autoclass:: torchvision.models.quantization.GoogLeNet_QuantizedWeights

torchvision/models/quantization/resnet.py

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quantize (bool, optional): If True, return a quantized version of the model. Default is False.
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**kwargs: parameters passed to the ``torchvision.models.quantization.QuantizableResNet``
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base class. Please refer to the `source code
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<https://github.com/pytorch/vision/blob/main/torchvision/models/quantization.resnet.py>`_
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<https://github.com/pytorch/vision/blob/main/torchvision/models/quantization/resnet.py>`_
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for more details about this class.
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.. autoclass:: torchvision.models.quantization.ResNet18_QuantizedWeights
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quantize (bool, optional): If True, return a quantized version of the model. Default is False.
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**kwargs: parameters passed to the ``torchvision.models.quantization.QuantizableResNet``
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base class. Please refer to the `source code
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<https://github.com/pytorch/vision/blob/main/torchvision/models/quantization.resnet.py>`_
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<https://github.com/pytorch/vision/blob/main/torchvision/models/quantization/resnet.py>`_
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for more details about this class.
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.. autoclass:: torchvision.models.quantization.ResNet50_QuantizedWeights
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quantize (bool, optional): If True, return a quantized version of the model. Default is False.
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**kwargs: parameters passed to the ``torchvision.models.quantization.QuantizableResNet``
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base class. Please refer to the `source code
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<https://github.com/pytorch/vision/blob/main/torchvision/models/quantization.resnet.py>`_
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<https://github.com/pytorch/vision/blob/main/torchvision/models/quantization/resnet.py>`_
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for more details about this class.
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.. autoclass:: torchvision.models.quantization.ResNeXt101_32X8D_QuantizedWeights
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quantize (bool, optional): If True, return a quantized version of the model. Default is False.
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**kwargs: parameters passed to the ``torchvision.models.quantization.QuantizableResNet``
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base class. Please refer to the `source code
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<https://github.com/pytorch/vision/blob/main/torchvision/models/quantization.resnet.py>`_
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<https://github.com/pytorch/vision/blob/main/torchvision/models/quantization/resnet.py>`_
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for more details about this class.
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.. autoclass:: torchvision.models.quantization.ResNeXt101_64X4D_QuantizedWeights

torchvision/prototype/datasets/_builtin/caltech.py

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@register_dataset("caltech101")
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class Caltech101(Dataset):
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"""
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- **homepage**: http://www.vision.caltech.edu/Image_Datasets/Caltech101
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- **homepage**: https://data.caltech.edu/records/20086
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- **dependencies**:
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- <scipy `https://scipy.org/`>_
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"""
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@register_dataset("caltech256")
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class Caltech256(Dataset):
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"""
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- **homepage**: http://www.vision.caltech.edu/Image_Datasets/Caltech256
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- **homepage**: https://data.caltech.edu/records/20087
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"""
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def __init__(

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