Make fsspec requirement the same across subpackages (#19085)

requirements/app/app.txt

@@ -3,7 +3,7 @@ packaging
 typing-extensions >=4.4.0, <4.8.0
 deepdiff >=5.7.0, <6.6.0
 starsessions >=1.2.1, <2.0 # strict
-fsspec >=2022.5.0, <2023.11.0
+fsspec[http] >=2022.5.0, <2023.11.0
 croniter >=1.3.0, <1.5.0  # strict; TODO: for now until we find something more robust.
 traitlets >=5.3.0, <5.10.0
 arrow >=1.2.0, <1.3.0

requirements/data/cloud.txt

@@ -1,5 +1,5 @@
 # NOTE: the upper bound for the package version is only set for CI stability, and it is dropped while installing this package
 #  in case you want to preserve/enforce restrictions on the latest compatible version, add "strict" as an in-line comment
 
-fsspec[http] >2021.06.0, <2023.11.0
+fsspec[http] >=2022.5.0, <2023.11.0
 s3fs >=2022.5.0, <2023.7.0

requirements/fabric/base.txt

@@ -3,7 +3,7 @@
 
 numpy >=1.17.2, <1.27.0
 torch >=1.12.0, <2.2.0
-fsspec[http]>2021.06.0, <2023.11.0
+fsspec[http] >=2022.5.0, <2023.11.0
 packaging >=20.0, <=23.1
 typing-extensions >=4.4.0, <4.8.0
 lightning-utilities >=0.8.0, <0.10.0

requirements/pytorch/base.txt

@@ -5,7 +5,7 @@ numpy >=1.17.2, <1.27.0
 torch >=1.12.0, <2.2.0
 tqdm >=4.57.0, <4.67.0
 PyYAML >=5.4, <6.1.0
-fsspec[http] >2021.06.0, <2023.11.0
+fsspec[http] >=2022.5.0, <2023.11.0
 torchmetrics >=0.7.0, <1.3.0  # needed for using fixed compare_version
 packaging >=20.0, <=23.1
 typing-extensions >=4.4.0, <4.8.0

src/lightning/pytorch/trainer/configuration_validator.py

@@ -164,7 +164,7 @@ def __warn_dataloader_iter_limitations(model: "pl.LightningModule") -> None:
             "You are using the `dataloader_iter` step flavor. If you consume the iterator more than once per step, the"
             " `batch_idx` argument in any hook that takes it will not match with the batch index of the last batch"
             " consumed. This might have unforeseen effects on callbacks or code that expects to get the correct index."
-            " This will also no work well with gradient accumulation. This feature is very experimental and subject to"
+            " This will also not work well with gradient accumulation. This feature is very experimental and subject to"
             " change. Here be dragons.",
             category=PossibleUserWarning,
         )