From fb0792478dd4ad72f7053cfe9712b6174f03e649 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Val=C3=A9rian=20Rey?= Date: Fri, 21 Aug 2026 20:20:53 +0200 Subject: [PATCH] Drop broken lightning intersphinx mapping Co-Authored-By: Claude Sonnet 5 --- docs/source/conf.py | 1 - docs/source/examples/lightning_integration.rst | 4 ++-- 2 files changed, 2 insertions(+), 3 deletions(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index c821b2fdc..21bce2cdb 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -60,7 +60,6 @@ intersphinx_mapping = { "python": ("https://docs.python.org/3", None), "torch": ("https://pytorch.org/docs/stable/", None), - "lightning": ("https://lightning.ai/docs/pytorch/stable/", None), } html_favicon = "icons/favicon.ico" diff --git a/docs/source/examples/lightning_integration.rst b/docs/source/examples/lightning_integration.rst index 115f42268..080186f65 100644 --- a/docs/source/examples/lightning_integration.rst +++ b/docs/source/examples/lightning_integration.rst @@ -1,13 +1,13 @@ PyTorch Lightning Integration ============================= -To use Jacobian descent with TorchJD in a :class:`~lightning.pytorch.core.LightningModule`, you need +To use Jacobian descent with TorchJD in a ``LightningModule``, you need to turn off automatic optimization by setting ``automatic_optimization`` to ``False`` and to customize the ``training_step`` method to make it call the appropriate TorchJD method (:doc:`backward <../docs/autojac/backward>` or :doc:`mtl_backward <../docs/autojac/mtl_backward>`). The following code example demonstrates a basic multi-task learning setup using a -:class:`~lightning.pytorch.core.LightningModule` that will call :doc:`mtl_backward +``LightningModule`` that will call :doc:`mtl_backward <../docs/autojac/mtl_backward>` at each training iteration. .. testsetup::