Merge branch 'master' into f_string_inconsistencies

Author: brianjo

.jenkins/build.sh

@@ -12,6 +12,8 @@ export LANG=C.UTF-8
 
 DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null && pwd )"
 
+# Update root certificates by installing new libgnutls30
+sudo apt-get update || sudo apt-get install libgnutls30
 sudo apt-get update
 sudo apt-get install -y --no-install-recommends unzip p7zip-full sox libsox-dev libsox-fmt-all rsync
 

intermediate_source/torchvision_tutorial.rst

@@ -220,7 +220,7 @@ way of doing it:
    import torchvision
    from torchvision.models.detection.faster_rcnn import FastRCNNPredictor
 
-   # load a model pre-trained pre-trained on COCO
+   # load a model pre-trained on COCO
    model = torchvision.models.detection.fasterrcnn_resnet50_fpn(pretrained=True)
 
    # replace the classifier with a new one, that has
@@ -290,7 +290,7 @@ be using Mask R-CNN:
 
 
    def get_model_instance_segmentation(num_classes):
-       # load an instance segmentation model pre-trained pre-trained on COCO
+       # load an instance segmentation model pre-trained on COCO
        model = torchvision.models.detection.maskrcnn_resnet50_fpn(pretrained=True)
 
        # get number of input features for the classifier

recipes_source/recipes/loading_data_recipe.py

@@ -14,9 +14,9 @@
 `torch.utils.data.Dataset <https://pytorch.org/docs/stable/data.html#torch.utils.data.Dataset>`__.
 These datasets are currently available in:
 
-* `torchvision <https://pytorch.org/docs/stable/torchvision/datasets.html>`__
-* `torchaudio <https://pytorch.org/audio/datasets.html>`__
-* `torchtext <https://pytorch.org/text/datasets.html>`__
+* `torchvision <https://pytorch.org/vision/stable/datasets.html>`__
+* `torchaudio <https://pytorch.org/audio/stable/datasets.html>`__
+* `torchtext <https://pytorch.org/text/stable/datasets.html>`__
 
 with more to come.
 Using the Yesno dataset from ``torchaudio.datasets.YESNO``, we will