Skip to content

Fix links to executorch and tiatoolbox #3352

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open

Fix links to executorch and tiatoolbox #3352

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
16 changes: 8 additions & 8 deletions index.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -803,24 +803,24 @@ Welcome to PyTorch Tutorials
:tags: Edge

.. customcarditem::
:header: Using the ExecuTorch SDK to Profile a Model
:header: Using the ExecuTorch Developer Tools to Profile a Model
:card_description: Explore how to use the ExecuTorch SDK to profile, debug, and visualize ExecuTorch models
:image: _static/img/ExecuTorch-Logo-cropped.svg
:link: https://pytorch.org/executorch/stable/tutorials/sdk-integration-tutorial.html
:link: https://pytorch.org/executorch/stable/tutorials/devtools-integration-tutorial.html
:tags: Edge

.. customcarditem::
:header: Building an ExecuTorch iOS Demo App
:card_description: Explore how to set up the ExecuTorch iOS Demo App, which uses the MobileNet v3 model to process live camera images leveraging three different backends: XNNPACK, Core ML, and Metal Performance Shaders (MPS).
:header: Using ExecuTorch on iOS
:card_description: Learn how to use ExecuTorch on iOS and macOS with Objective-C, Swift, and C++.
:image: _static/img/ExecuTorch-Logo-cropped.svg
:link: https://pytorch.org/executorch/stable/demo-apps-ios.html
:link: https://pytorch.org/executorch/stable/using-executorch-ios.html
:tags: Edge

.. customcarditem::
:header: Building an ExecuTorch Android Demo App
:card_description: Learn how to set up the ExecuTorch Android Demo App for image segmentation tasks using the DeepLab v3 model and XNNPACK FP32 backend.
:header: Using ExecuTorch on Android
:card_description: Learn how use ExecuTorch on Android with Java and Kotlin API bindings.
:image: _static/img/ExecuTorch-Logo-cropped.svg
:link: https://pytorch.org/executorch/stable/demo-apps-android.html
:link: https://pytorch.org/executorch/stable/using-executorch-android.html
:tags: Edge

.. customcarditem::
Expand Down
4 changes: 2 additions & 2 deletions intermediate_source/tiatoolbox_tutorial.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -348,7 +348,7 @@ The PatchPredictor class runs a CNN-based classifier written in PyTorch.
- Alternatively, you can pass ``pretrained_model`` as a string
argument. This specifies the CNN model that performs the prediction,
and it must be one of the models listed
`here <https://tia-toolbox.readthedocs.io/en/latest/usage.html?highlight=pretrained%20models#tiatoolbox.models.architecture.get_pretrained_model>`__.
`here <https://tia-toolbox.readthedocs.io/en/latest/_autosummary/tiatoolbox.models.architecture.get_pretrained_model.html#tiatoolbox.models.architecture.get_pretrained_model>`__.
The command will look like this:
``predictor = PatchPredictor(pretrained_model='resnet18-kather100k', pretrained_weights=weights_path, batch_size=32)``.
- ``pretrained_weights``: When using a ``pretrained_model``, the
Expand Down Expand Up @@ -621,7 +621,7 @@ results. Here are the arguments and their descriptions:
which is equivalent to level 0. In general, this is the level of
greatest resolution. In this particular case, the image has only one
level. More information can be found in the
`documentation <https://tia-toolbox.readthedocs.io/en/latest/usage.html?highlight=WSIReader.read_rect#tiatoolbox.wsicore.wsireader.WSIReader.read_rect>`__.
`documentation <https://tia-toolbox.readthedocs.io/en/latest/_autosummary/tiatoolbox.wsicore.wsireader.WSIReader.html#tiatoolbox.wsicore.wsireader.WSIReader.read_rect>`__.
- ``masks``: A list of paths corresponding to the masks of WSIs in the
``imgs`` list. These masks specify the regions in the original WSIs
from which we want to extract patches. If the mask of a particular
Expand Down