"ValueError: You selected an invalid strategy name" When DDPStrategy(process_group_backend="gloo") is passed

Nobody has claimed this yet.

### Bug description

When I run this code on Python 3.12.8 with pytorch-lightning 2.4.0 I get a ValueError

### What version are you seeing the problem on?

v2.4

### How to reproduce the bug

```python
ddp_gloo = DDPStrategy(process_group_backend="gloo")

trainer = Trainer(
devices=2,
# devices=1,
accelerator='gpu',
strategy=ddp_gloo,
benchmark=True,
logger=logger,
callbacks=[checkpoint_callback, lr_monitor],
check_val_every_n_epoch=1,
max_epochs=30,
# max_epochs=3,
)
trainer.fit(model, data_module)
```

### Error messages and logs

```
Traceback (most recent call last):
File "C:\Users\Philip\source\repos\insightface_alignment_lightning\src\train.py", line 59, in
main()
File "C:\Users\Philip\source\repos\insightface_alignment_lightning\src\train.py", line 43, in main
trainer = Trainer(
^^^^^^^^
File "C:\Users\Philip\.conda\envs\lightning\Lib\site-packages\pytorch_lightning\utilities\argparse.py", line 70, in insert_env_defaults
return fn(self, **kwargs)
^^^^^^^^^^^^^^^^^^
File "C:\Users\Philip\.conda\envs\lightning\Lib\site-packages\pytorch_lightning\trainer\trainer.py", line 395, in __init__
self._accelerator_connector = _AcceleratorConnector(
^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Philip\.conda\envs\lightning\Lib\site-packages\pytorch_lightning\trainer\connectors\accelerator_connector.py", line 130, in __init__
self._check_config_and_set_final_flags(
File "C:\Users\Philip\.conda\envs\lightning\Lib\site-packages\pytorch_lightning\trainer\connectors\accelerator_connector.py", line 193, in _check_config_and_set_final_flags
raise ValueError(
ValueError: You selected an invalid strategy name: `strategy=`. It must be either a string or an instance of `pytorch_lightning.strategies.Strategy`. Example choices: auto, ddp, ddp_spawn, deepspeed, ... Find a complete list of options in our documentation at https://lightning.ai
```

### Environment

Current environment

* CUDA:
- GPU:
- Quadro P6000
- Quadro P6000
- available: True
- version: 12.4
* Lightning:
- efficientnet-pytorch: 0.7.1
- lightning: 2.4.0
- lightning-utilities: 0.11.9
- pytorch-lightning: 2.4.0
- segmentation-models-pytorch: 0.3.5.dev0
- torch: 2.5.1
- torchmetrics: 1.6.0
- torchvision: 0.20.1
* Packages:
- absl-py: 2.1.0
- aiohappyeyeballs: 2.4.4
- aiohttp: 3.11.11
- aiosignal: 1.3.2
- albucore: 0.0.21
- albumentations: 1.4.23
- annotated-types: 0.7.0
- attrs: 24.3.0
- autocommand: 2.2.2
- backports.tarfile: 1.2.0
- brotli: 1.1.0
- certifi: 2024.12.14
- cffi: 1.17.1
- charset-normalizer: 3.4.0
- colorama: 0.4.6
- contourpy: 1.3.1
- cycler: 0.12.1
- efficientnet-pytorch: 0.7.1
- eval-type-backport: 0.2.0
- filelock: 3.16.1
- fonttools: 4.55.3
- frozenlist: 1.5.0
- fsspec: 2024.10.0
- grpcio: 1.68.1
- h2: 4.1.0
- hpack: 4.0.0
- huggingface-hub: 0.27.0
- hyperframe: 6.0.1
- idna: 3.10
- importlib-metadata: 8.0.0
- inflect: 7.3.1
- jaraco.collections: 5.1.0
- jaraco.context: 5.3.0
- jaraco.functools: 4.0.1
- jaraco.text: 3.12.1
- jinja2: 3.1.4
- kiwisolver: 1.4.7
- lightning: 2.4.0
- lightning-utilities: 0.11.9
- markdown: 3.7
- markupsafe: 3.0.2
- matplotlib: 3.10.0
- more-itertools: 10.3.0
- mpmath: 1.3.0
- multidict: 6.1.0
- munch: 4.0.0
- networkx: 3.4.2
- numpy: 2.2.0
- opencv-python: 4.10.0.84
- opencv-python-headless: 4.10.0.84
- packaging: 24.2
- pillow: 10.4.0
- pip: 24.3.1
- platformdirs: 4.2.2
- pretrainedmodels: 0.7.4
- propcache: 0.2.1
- protobuf: 5.29.2
- pycocotools: 2.0.8
- pycparser: 2.22
- pydantic: 2.10.4
- pydantic-core: 2.27.2
- pyparsing: 3.2.0
- pysocks: 1.7.1
- python-dateutil: 2.9.0.post0
- pytorch-lightning: 2.4.0
- pyyaml: 6.0.2
- requests: 2.32.3
- safetensors: 0.5.0
- scipy: 1.14.1
- segmentation-models-pytorch: 0.3.5.dev0
- setuptools: 75.6.0
- simsimd: 6.2.1
- six: 1.17.0
- stringzilla: 3.11.2
- sympy: 1.13.1
- tensorboard: 2.18.0
- tensorboard-data-server: 0.7.2
- timm: 1.0.12
- tomli: 2.0.1
- torch: 2.5.1
- torchmetrics: 1.6.0
- torchvision: 0.20.1
- tqdm: 4.67.1
- typeguard: 4.3.0
- typing-extensions: 4.12.2
- urllib3: 2.2.3
- werkzeug: 3.1.3
- wheel: 0.45.1
- win-inet-pton: 1.1.0
- yarl: 1.18.3
- zipp: 3.19.2
- zstandard: 0.23.0
* System:
- OS: Windows
- architecture:
- 64bit
- WindowsPE
- processor: Intel64 Family 6 Model 94 Stepping 3, GenuineIntel
- python: 3.12.8
- release: 10
- version: 10.0.19045

### More info

_No response_

Start with the Trainer(..., strategy=ddp_gloo) entry point and follow the _AcceleratorConnector validation shown in the traceback. Reproduce the failure with the provided DDPStrategy(process_group_backend="gloo") snippet on the stated versions, then compare behavior for the strategy object and accepted strategy values. Done means the intended DDPStrategy configuration is handled without the invalid-strategy error, with regression coverage identified in the relevant strategy or trainer tests.

Written by the indexing model from the issue text.