From f68eac91d8e75adc361e990c402090d9f91c5e5d Mon Sep 17 00:00:00 2001 From: Jirka Borovec <6035284+Borda@users.noreply.github.com> Date: Thu, 17 Aug 2023 12:51:25 +0200 Subject: [PATCH] docs: fix dead links for Trainer (#18331) (cherry picked from commit 8ade7d08ea7c405cd6ff5025172bcd232badf7c4) --- docs/source-pytorch/integrations/strategies/colossalai.rst | 2 +- docs/source-pytorch/past_versions.rst | 2 +- src/lightning/pytorch/loggers/wandb.py | 3 ++- 3 files changed, 4 insertions(+), 3 deletions(-) diff --git a/docs/source-pytorch/integrations/strategies/colossalai.rst b/docs/source-pytorch/integrations/strategies/colossalai.rst index 2d6fd992f492a..8eeb95988d79c 100644 --- a/docs/source-pytorch/integrations/strategies/colossalai.rst +++ b/docs/source-pytorch/integrations/strategies/colossalai.rst @@ -27,7 +27,7 @@ You can install the Colossal-AI integration by running pip install lightning-colossalai -This will install both the `colossalai `_ package as well as the ``ColossalAIStrategy`` for the Lightning Trainer: +This will install both the `colossalai `_ package as well as the ``ColossalAIStrategy`` for the Lightning Trainer: .. code-block:: python diff --git a/docs/source-pytorch/past_versions.rst b/docs/source-pytorch/past_versions.rst index 374303735ed32..89a37307fea46 100644 --- a/docs/source-pytorch/past_versions.rst +++ b/docs/source-pytorch/past_versions.rst @@ -110,7 +110,7 @@ To help you with keeping up to spead, check :doc:`Migration guide <../upgrade/mi `1.2.6 `_, `1.2.7 `_, `1.2.8 `_, - `1.2.9 `_, + 1.2.9, `1.2.10 `_ - diff --git a/src/lightning/pytorch/loggers/wandb.py b/src/lightning/pytorch/loggers/wandb.py index dec54aea9bd5b..47b43961e998b 100644 --- a/src/lightning/pytorch/loggers/wandb.py +++ b/src/lightning/pytorch/loggers/wandb.py @@ -207,7 +207,8 @@ def __init__(self, *args, **kwarg): **Log Tables** - `W&B Tables `_ can be used to log, query and analyze tabular data. + `W&B Tables `_ can be used to log, + query and analyze tabular data. They support any type of media (text, image, video, audio, molecule, html, etc) and are great for storing, understanding and sharing any form of data, from datasets to model predictions.