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Merged
deependujha merged 7 commits into from
Dec 15, 2025
Merged

Deprecate Python 3.9 support #21398

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4f87112
set min py3.10
SkafteNicki Dec 1, 2025
6207476
remove from readme
SkafteNicki Dec 1, 2025
73d8091
set min in tests
SkafteNicki Dec 1, 2025
b90bf96
changelog
SkafteNicki Dec 2, 2025
62b1fd3
remove readme changes
SkafteNicki Dec 9, 2025
71eb73b
Merge branch 'master' into min_py310
deependujha Dec 11, 2025
afa8a02
Merge branch 'master' into min_py310
bhimrazy Dec 15, 2025
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4 changes: 2 additions & 2 deletions src/lightning/__setup__.py
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Expand Up @@ -94,7 +94,7 @@ def _setup_args() -> dict[str, Any]:
"include_package_data": True,
"zip_safe": False,
"keywords": ["deep learning", "pytorch", "AI"],
"python_requires": ">=3.9",
"python_requires": ">=3.10",
"entry_points": {
"console_scripts": [
"fabric = lightning.fabric.cli:_main",
Expand Down Expand Up @@ -123,9 +123,9 @@ def _setup_args() -> dict[str, Any]:
"Operating System :: OS Independent",
# Specify the Python versions you support here.
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
], # todo: consider aggregation/union of tags from particular packages
}
2 changes: 1 addition & 1 deletion src/lightning/pytorch/CHANGELOG.md
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Expand Up @@ -18,7 +18,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).

### Removed

-
- Removed support for Python 3.9 due to end-of-life status ([#21398](https://github.com/Lightning-AI/pytorch-lightning/pull/21398))

### Fixed

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4 changes: 2 additions & 2 deletions src/lightning_fabric/__setup__.py
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Expand Up @@ -73,7 +73,7 @@ def _setup_args() -> dict[str, Any]:
"include_package_data": True,
"zip_safe": False,
"keywords": ["deep learning", "pytorch", "AI"],
"python_requires": ">=3.9",
"python_requires": ">=3.10",
"setup_requires": ["wheel"],
"install_requires": assistant.load_requirements(
_PATH_REQUIREMENTS, unfreeze="none" if _FREEZE_REQUIREMENTS else "all"
Expand Down Expand Up @@ -105,9 +105,9 @@ def _setup_args() -> dict[str, Any]:
# Specify the Python versions you support here. In particular, ensure
# that you indicate whether you support Python 2, Python 3 or both.
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
],
}
4 changes: 2 additions & 2 deletions src/pytorch_lightning/__setup__.py
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Expand Up @@ -80,7 +80,7 @@ def _setup_args() -> dict[str, Any]:
"long_description_content_type": "text/markdown",
"zip_safe": False,
"keywords": ["deep learning", "pytorch", "AI"],
"python_requires": ">=3.9",
"python_requires": ">=3.10",
"setup_requires": ["wheel"],
# TODO: aggregate pytorch and lite requirements as we include its source code directly in this package.
# this is not a problem yet because lite's base requirements are all included in pytorch's base requirements
Expand All @@ -107,9 +107,9 @@ def _setup_args() -> dict[str, Any]:
"Operating System :: OS Independent",
# Specify the Python versions you support here.
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
],
}
4 changes: 2 additions & 2 deletions tests/tests_fabric/test_connector.py
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Expand Up @@ -77,7 +77,7 @@ def __instancecheck__(self, instance):
@pytest.mark.parametrize(
("accelerator", "devices"), [("tpu", "auto"), ("tpu", 1), ("tpu", [1]), ("tpu", 8), ("auto", 1), ("auto", 8)]
)
@RunIf(min_python="3.9") # mocking issue
@RunIf(min_python="3.10") # mocking issue
def test_accelerator_choice_tpu(accelerator, devices, tpu_available, monkeypatch):
monkeypatch.setattr(torch, "device", DeviceMock())

Expand Down Expand Up @@ -1031,7 +1031,7 @@ def get_defaults(cls):


@pytest.mark.parametrize("is_interactive", [False, True])
@RunIf(min_python="3.9") # mocking issue
@RunIf(min_python="3.10") # mocking issue
def test_connector_auto_selection(monkeypatch, is_interactive):
no_cuda = mock.patch("lightning.fabric.accelerators.cuda.num_cuda_devices", return_value=0)
single_cuda = mock.patch("lightning.fabric.accelerators.cuda.num_cuda_devices", return_value=1)
Expand Down
2 changes: 1 addition & 1 deletion tests/tests_fabric/utilities/test_imports.py
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Expand Up @@ -71,7 +71,7 @@ def test_import_deepspeed_lazily():
assert subprocess.call([sys.executable, "-c", code]) == 0


@RunIf(min_python="3.9")
@RunIf(min_python="3.10")
def test_import_lightning_multiprocessing_start_method_not_set():
"""Regression test for avoiding the lightning import to set the multiprocessing context."""
package_name = "lightning_fabric" if "lightning.fabric" == "lightning_fabric" else "lightning"
Expand Down
2 changes: 1 addition & 1 deletion tests/tests_pytorch/accelerators/test_xla.py
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Expand Up @@ -310,7 +310,7 @@ def test_warning_if_tpus_not_used(tpu_available):
("2,", [2]),
],
)
@RunIf(min_python="3.9") # mocking issue
@RunIf(min_python="3.10") # mocking issue
def test_trainer_config_device_ids(devices, expected_device_ids, tpu_available, monkeypatch):
monkeypatch.setattr(lightning.fabric.accelerators.xla, "_using_pjrt", lambda: True)

Expand Down
6 changes: 3 additions & 3 deletions tests/tests_pytorch/trainer/connectors/test_accelerator_connector.py
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Expand Up @@ -65,7 +65,7 @@
@pytest.mark.parametrize(
("accelerator", "devices"), [("tpu", "auto"), ("tpu", 1), ("tpu", [1]), ("tpu", 8), ("auto", 1), ("auto", 8)]
)
@RunIf(min_python="3.9") # mocking issue
@RunIf(min_python="3.10") # mocking issue
def test_accelerator_choice_tpu(accelerator, devices, tpu_available, monkeypatch):
monkeypatch.setattr(torch, "device", DeviceMock())
if _IS_WINDOWS:
Expand Down Expand Up @@ -736,7 +736,7 @@ def test_gpu_accelerator_backend_choice_cuda(cuda_count_1):
assert isinstance(trainer.accelerator, CUDAAccelerator)


@RunIf(min_python="3.9") # mocking issue
@RunIf(min_python="3.10") # mocking issue
def test_gpu_accelerator_backend_choice_mps(mps_count_1, cuda_count_0):
trainer = Trainer(accelerator="gpu")
assert trainer._accelerator_connector._accelerator_flag == "mps"
Expand Down Expand Up @@ -809,7 +809,7 @@ def test_connector_with_tpu_accelerator_instance(tpu_available, monkeypatch):


@pytest.mark.parametrize("is_interactive", [False, True])
@RunIf(min_python="3.9") # mocking issue
@RunIf(min_python="3.10") # mocking issue
def test_connector_auto_selection(monkeypatch, is_interactive):
import lightning.fabric # avoid breakage with standalone package

Expand Down
2 changes: 1 addition & 1 deletion tests/tests_pytorch/utilities/test_imports.py
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Expand Up @@ -165,7 +165,7 @@ def test_import_deepspeed_lazily():
assert subprocess.call([sys.executable, "-c", code]) == 0


@RunIf(min_python="3.9")
@RunIf(min_python="3.10")
def test_import_lightning_multiprocessing_start_method_not_set():
"""Regression test for avoiding the lightning import to set the multiprocessing context."""
package_name = "pytorch_lightning" if "lightning.pytorch" == "pytorch_lightning" else "lightning"
Expand Down
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