Revert "Patch jsonargparse for Python >= 3.12.8"

.actions/assistant.py

@@ -502,21 +502,6 @@ def generate_docker_tags(
 
 
 if __name__ == "__main__":
-    import sys
-
     import jsonargparse
-    from jsonargparse import ArgumentParser
-
-    def patch_jsonargparse_python_3_12_8():
-        if sys.version_info < (3, 12, 8):
-            return
-
-        def _parse_known_args_patch(self: ArgumentParser, args: Any = None, namespace: Any = None) -> tuple[Any, Any]:
-            namespace, args = super(ArgumentParser, self)._parse_known_args(args, namespace, intermixed=False)  # type: ignore
-            return namespace, args
-
-        setattr(ArgumentParser, "_parse_known_args", _parse_known_args_patch)
-
-    patch_jsonargparse_python_3_12_8()  # Required until fix https://github.com/omni-us/jsonargparse/issues/641
 
     jsonargparse.CLI(AssistantCLI, as_positional=False)

.actions/requirements.txt

@@ -1,3 +1,3 @@
-jsonargparse >=4.16.0, <4.28.0
+jsonargparse >=4.16.0, <=4.35.0
 requests
 packaging

.azure/gpu-benchmarks.yml

@@ -77,7 +77,7 @@ jobs:
 
       - bash: |
           pip install -e .[dev] --find-links ${TORCH_URL}
-          pip install setuptools==75.6.0
+          pip install setuptools==75.6.0 jsonargparse==4.35.0
         env:
           FREEZE_REQUIREMENTS: "1"
         displayName: "Install package"

.azure/gpu-tests-fabric.yml

@@ -107,7 +107,7 @@ jobs:
       - bash: |
           extra=$(python -c "print({'lightning': 'fabric-'}.get('$(PACKAGE_NAME)', ''))")
           pip install -e ".[${extra}dev]" pytest-timeout -U --find-links="${TORCH_URL}" --find-links="${TORCHVISION_URL}"
-          pip install setuptools==75.6.0
+          pip install setuptools==75.6.0 jsonargparse==4.35.0
         displayName: "Install package & dependencies"
 
       - bash: |

.azure/gpu-tests-pytorch.yml

@@ -111,7 +111,7 @@ jobs:
       - bash: |
           extra=$(python -c "print({'lightning': 'pytorch-'}.get('$(PACKAGE_NAME)', ''))")
           pip install -e ".[${extra}dev]" pytest-timeout -U --find-links="${TORCH_URL}" --find-links="${TORCHVISION_URL}"
-          pip install setuptools==75.6.0
+          pip install setuptools==75.6.0 jsonargparse==4.35.0
         displayName: "Install package & dependencies"
 
       - bash: pip uninstall -y lightning

.github/workflows/ci-tests-fabric.yml

@@ -49,16 +49,16 @@ jobs:
           - { os: "macOS-14", pkg-name: "lightning", python-version: "3.11", pytorch-version: "2.3" }
           - { os: "ubuntu-20.04", pkg-name: "lightning", python-version: "3.11", pytorch-version: "2.3" }
           - { os: "windows-2022", pkg-name: "lightning", python-version: "3.11", pytorch-version: "2.3" }
-          - { os: "macOS-14", pkg-name: "lightning", python-version: "3.12", pytorch-version: "2.4.1" }
-          - { os: "ubuntu-22.04", pkg-name: "lightning", python-version: "3.12", pytorch-version: "2.4.1" }
-          - { os: "windows-2022", pkg-name: "lightning", python-version: "3.12", pytorch-version: "2.4.1" }
-          - { os: "macOS-14", pkg-name: "lightning", python-version: "3.12", pytorch-version: "2.5.1" }
-          - { os: "ubuntu-22.04", pkg-name: "lightning", python-version: "3.12", pytorch-version: "2.5.1" }
-          - { os: "windows-2022", pkg-name: "lightning", python-version: "3.12", pytorch-version: "2.5.1" }
+          - { os: "macOS-14", pkg-name: "lightning", python-version: "3.12.7", pytorch-version: "2.4.1" }
+          - { os: "ubuntu-22.04", pkg-name: "lightning", python-version: "3.12.7", pytorch-version: "2.4.1" }
+          - { os: "windows-2022", pkg-name: "lightning", python-version: "3.12.7", pytorch-version: "2.4.1" }
+          - { os: "macOS-14", pkg-name: "lightning", python-version: "3.12.7", pytorch-version: "2.5.1" }
+          - { os: "ubuntu-22.04", pkg-name: "lightning", python-version: "3.12.7", pytorch-version: "2.5.1" }
+          - { os: "windows-2022", pkg-name: "lightning", python-version: "3.12.7", pytorch-version: "2.5.1" }
           # only run PyTorch latest with Python latest, use Fabric scope to limit dependency issues
-          - { os: "macOS-14", pkg-name: "fabric", python-version: "3.12", pytorch-version: "2.5.1" }
-          - { os: "ubuntu-22.04", pkg-name: "fabric", python-version: "3.12", pytorch-version: "2.5.1" }
-          - { os: "windows-2022", pkg-name: "fabric", python-version: "3.12", pytorch-version: "2.5.1" }
+          - { os: "macOS-14", pkg-name: "fabric", python-version: "3.12.7", pytorch-version: "2.5.1" }
+          - { os: "ubuntu-22.04", pkg-name: "fabric", python-version: "3.12.7", pytorch-version: "2.5.1" }
+          - { os: "windows-2022", pkg-name: "fabric", python-version: "3.12.7", pytorch-version: "2.5.1" }
           # "oldest" versions tests, only on minimum Python
           - { os: "macOS-14", pkg-name: "lightning", python-version: "3.9", pytorch-version: "2.1", requires: "oldest" }
           - {

.github/workflows/ci-tests-pytorch.yml

@@ -53,16 +53,16 @@ jobs:
           - { os: "macOS-14", pkg-name: "lightning", python-version: "3.11", pytorch-version: "2.3" }
           - { os: "ubuntu-20.04", pkg-name: "lightning", python-version: "3.11", pytorch-version: "2.3" }
           - { os: "windows-2022", pkg-name: "lightning", python-version: "3.11", pytorch-version: "2.3" }
-          - { os: "macOS-14", pkg-name: "lightning", python-version: "3.12", pytorch-version: "2.4.1" }
-          - { os: "ubuntu-22.04", pkg-name: "lightning", python-version: "3.12", pytorch-version: "2.4.1" }
-          - { os: "windows-2022", pkg-name: "lightning", python-version: "3.12", pytorch-version: "2.4.1" }
-          - { os: "macOS-14", pkg-name: "lightning", python-version: "3.12", pytorch-version: "2.5.1" }
-          - { os: "ubuntu-22.04", pkg-name: "lightning", python-version: "3.12", pytorch-version: "2.5.1" }
-          - { os: "windows-2022", pkg-name: "lightning", python-version: "3.12", pytorch-version: "2.5.1" }
+          - { os: "macOS-14", pkg-name: "lightning", python-version: "3.12.7", pytorch-version: "2.4.1" }
+          - { os: "ubuntu-22.04", pkg-name: "lightning", python-version: "3.12.7", pytorch-version: "2.4.1" }
+          - { os: "windows-2022", pkg-name: "lightning", python-version: "3.12.7", pytorch-version: "2.4.1" }
+          - { os: "macOS-14", pkg-name: "lightning", python-version: "3.12.7", pytorch-version: "2.5.1" }
+          - { os: "ubuntu-22.04", pkg-name: "lightning", python-version: "3.12.7", pytorch-version: "2.5.1" }
+          - { os: "windows-2022", pkg-name: "lightning", python-version: "3.12.7", pytorch-version: "2.5.1" }
           # only run PyTorch latest with Python latest, use PyTorch scope to limit dependency issues
-          - { os: "macOS-14", pkg-name: "pytorch", python-version: "3.12", pytorch-version: "2.5.1" }
-          - { os: "ubuntu-22.04", pkg-name: "pytorch", python-version: "3.12", pytorch-version: "2.5.1" }
-          - { os: "windows-2022", pkg-name: "pytorch", python-version: "3.12", pytorch-version: "2.5.1" }
+          - { os: "macOS-14", pkg-name: "pytorch", python-version: "3.12.7", pytorch-version: "2.5.1" }
+          - { os: "ubuntu-22.04", pkg-name: "pytorch", python-version: "3.12.7", pytorch-version: "2.5.1" }
+          - { os: "windows-2022", pkg-name: "pytorch", python-version: "3.12.7", pytorch-version: "2.5.1" }
           # "oldest" versions tests, only on minimum Python
           - { os: "macOS-14", pkg-name: "lightning", python-version: "3.9", pytorch-version: "2.1", requires: "oldest" }
           - {

requirements/pytorch/extra.txt

@@ -5,7 +5,7 @@
 matplotlib>3.1, <3.9.0
 omegaconf >=2.2.3, <2.4.0
 hydra-core >=1.2.0, <1.4.0
-jsonargparse[signatures] >=4.27.7, <4.28.0
+jsonargparse[signatures] >=4.27.7, <=4.35.0
 rich >=12.3.0, <13.6.0
 tensorboardX >=2.2, <2.7.0  # min version is set by torch.onnx missing attribute
 bitsandbytes >=0.44.0,<0.44.2; sys_platform == 'linux' or sys_platform == 'win32'

src/lightning/pytorch/cli.py

@@ -37,18 +37,6 @@
 
 _JSONARGPARSE_SIGNATURES_AVAILABLE = RequirementCache("jsonargparse[signatures]>=4.27.7")
 
-
-def patch_jsonargparse_python_3_12_8() -> None:
-    if sys.version_info < (3, 12, 8):
-        return
-
-    def _parse_known_args_patch(self: ArgumentParser, args: Any = None, namespace: Any = None) -> tuple[Any, Any]:
-        namespace, args = super(ArgumentParser, self)._parse_known_args(args, namespace, intermixed=False)  # type: ignore
-        return namespace, args
-
-    setattr(ArgumentParser, "_parse_known_args", _parse_known_args_patch)
-
-
 if _JSONARGPARSE_SIGNATURES_AVAILABLE:
     import docstring_parser
     from jsonargparse import (
@@ -60,8 +48,6 @@ def _parse_known_args_patch(self: ArgumentParser, args: Any = None, namespace: A
         set_config_read_mode,
     )
 
-    patch_jsonargparse_python_3_12_8()  # Required until fix https://github.com/omni-us/jsonargparse/issues/641
-
     register_unresolvable_import_paths(torch)  # Required until fix https://github.com/pytorch/pytorch/issues/74483
     set_config_read_mode(fsspec_enabled=True)
 else:

tests/parity_fabric/test_parity_ddp.py

@@ -162,8 +162,5 @@ def run_parity_test(accelerator: str = "cpu", devices: int = 2, tolerance: float
 
 if __name__ == "__main__":
     from jsonargparse import CLI
-    from lightning.pytorch.cli import patch_jsonargparse_python_3_12_8
-
-    patch_jsonargparse_python_3_12_8()  # Required until fix https://github.com/omni-us/jsonargparse/issues/641
 
     CLI(run_parity_test)

tests/tests_pytorch/checkpointing/test_model_checkpoint.py

@@ -29,10 +29,10 @@
 import pytest
 import torch
 import yaml
+from jsonargparse import ArgumentParser
 from lightning.fabric.utilities.cloud_io import _load as pl_load
 from lightning.pytorch import Trainer, seed_everything
 from lightning.pytorch.callbacks import ModelCheckpoint
-from lightning.pytorch.cli import LightningArgumentParser as ArgumentParser
 from lightning.pytorch.demos.boring_classes import BoringModel
 from lightning.pytorch.loggers import CSVLogger, TensorBoardLogger
 from lightning.pytorch.utilities.exceptions import MisconfigurationException

tests/tests_pytorch/test_cli.py

@@ -754,6 +754,7 @@ def add_arguments_to_parser(self, parser):
 
 
 @_xfail_python_ge_3_11_9
+@RunIf(min_torch="2.2")
 @pytest.mark.parametrize("use_generic_base_class", [False, True])
 def test_lightning_cli_optimizers_and_lr_scheduler_with_link_to(use_generic_base_class):
     class MyLightningCLI(LightningCLI):
@@ -801,6 +802,7 @@ def __init__(self, optim1: dict, optim2: dict, scheduler: dict):
 
 
 @_xfail_python_ge_3_11_9
+@RunIf(min_torch="2.2")
 def test_lightning_cli_optimizers_and_lr_scheduler_with_callable_type():
     class TestModel(BoringModel):
         def __init__(