Fix all broken URLs (pytorch#6176)

NicolasHug · Jun 16, 2022 · 02512d6 · 02512d6
1 parent c7091ec
commit 02512d6
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Showing 4 changed files with 8 additions and 8 deletions.
diff --git a/torchvision/datasets/caltech.py b/torchvision/datasets/caltech.py
@@ -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::
 
@@ -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

diff --git a/torchvision/datasets/kinetics.py b/torchvision/datasets/kinetics.py
@@ -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.

diff --git a/torchvision/models/quantization/googlenet.py b/torchvision/models/quantization/googlenet.py
@@ -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

diff --git a/torchvision/models/quantization/resnet.py b/torchvision/models/quantization/resnet.py
@@ -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
@@ -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
@@ -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
@@ -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