Link to loggers api reference

Author: leoleoasd

docs/source-pytorch/api_references.rst

@@ -82,6 +82,8 @@ core
     ~optimizer.LightningOptimizer
 
 
+.. _loggers-api-references:
+
 loggers
 -------
 

docs/source-pytorch/common/remote_fs.rst

@@ -17,7 +17,8 @@ Working with different filesystems can be accomplished by appending a protocol l
     trainer = Trainer(default_root_dir="s3://my_bucket/data/")
     trainer.fit(model)
 
-As for ``TensorBoardLogger``, by default, we use ``tensorboardX``. To use it with ``fsspec`` support, make sure you have ``tensorboard`` installed AND NO ``tensorflow`` installed in the current environment, as ``tensorboard`` will use ``tensorflow``'s GFile when detected, and it only uses fsspec on absence of ``tensorflow``.
+
+For logging, remote filesystem support depends on the particular logger integration being used. Consult :ref:`the documentation of the individual logger <loggers-api-references>` for more details.
 
 .. code-block:: python