Something about your projects

[emiald]

First appreciate your contributions.I meet the following problems.
The pytorch-lightning version is 1.7.7

Traceback (most recent call last):
File "/media/gw/文档/NeRF/instant-NeuS/launch.py", line 123, in
main()
File "/media/gw/文档/NeRF/instant-NeuS/launch.py", line 112, in main
trainer.fit(system, datamodule=dm)
File "/home/gw/anaconda3/envs/k-planes/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 696, in fit
self._call_and_handle_interrupt(
File "/home/gw/anaconda3/envs/k-planes/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 648, in _call_and_handle_interrupt
return self.strategy.launcher.launch(trainer_fn, *args, trainer=self, **kwargs)
File "/home/gw/anaconda3/envs/k-planes/lib/python3.8/site-packages/pytorch_lightning/strategies/launchers/subprocess_script.py", line 93, in launch
return function(*args, **kwargs)
File "/home/gw/anaconda3/envs/k-planes/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 735, in _fit_impl
results = self._run(model, ckpt_path=self.ckpt_path)
File "/home/gw/anaconda3/envs/k-planes/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 1147, in _run
self.strategy.setup(self)
File "/home/gw/anaconda3/envs/k-planes/lib/python3.8/site-packages/pytorch_lightning/strategies/ddp.py", line 184, in setup
self.setup_optimizers(trainer)
File "/home/gw/anaconda3/envs/k-planes/lib/python3.8/site-packages/pytorch_lightning/strategies/strategy.py", line 141, in setup_optimizers
self.optimizers, self.lr_scheduler_configs, self.optimizer_frequencies = _init_optimizers_and_lr_schedulers(
File "/home/gw/anaconda3/envs/k-planes/lib/python3.8/site-packages/pytorch_lightning/core/optimizer.py", line 194, in _init_optimizers_and_lr_schedulers
_validate_scheduler_api(lr_scheduler_configs, model)
File "/home/gw/anaconda3/envs/k-planes/lib/python3.8/site-packages/pytorch_lightning/core/optimizer.py", line 351, in _validate_scheduler_api
raise MisconfigurationException(
pytorch_lightning.utilities.exceptions.MisconfigurationException: The provided lr scheduler ExponentialLR doesn't follow PyTorch's LRScheduler API. You should override the LightningModule.lr_scheduler_step hook with your own logic if you are using a custom LR scheduler.