RuntimeError: indices should be either on cpu or on the same device as the indexed tensor (cpu)

[vsatyamesc]

It didn't give this error before. Now it's suddenly giving.

[vsatyamesc]

Sanity Checking DataLoader 0: 0% 0/2 [00:00<?, ?it/s]Summoning checkpoint.
Traceback (most recent call last):
File "main.py", line 819, in
trainer.fit(model, data)
File "/usr/local/lib/python3.8/dist-packages/pytorch_lightning/trainer/trainer.py", line 770, in fit
self._call_and_handle_interrupt(
File "/usr/local/lib/python3.8/dist-packages/pytorch_lightning/trainer/trainer.py", line 721, in _call_and_handle_interrupt
return self.strategy.launcher.launch(trainer_fn, *args, trainer=self, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/pytorch_lightning/strategies/launchers/subprocess_script.py", line 93, in launch
return function(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/pytorch_lightning/trainer/trainer.py", line 811, in _fit_impl
results = self._run(model, ckpt_path=self.ckpt_path)
File "/usr/local/lib/python3.8/dist-packages/pytorch_lightning/trainer/trainer.py", line 1236, in _run
results = self._run_stage()
File "/usr/local/lib/python3.8/dist-packages/pytorch_lightning/trainer/trainer.py", line 1323, in _run_stage
return self._run_train()
File "/usr/local/lib/python3.8/dist-packages/pytorch_lightning/trainer/trainer.py", line 1345, in _run_train
self._run_sanity_check()
File "/usr/local/lib/python3.8/dist-packages/pytorch_lightning/trainer/trainer.py", line 1413, in _run_sanity_check
val_loop.run()
File "/usr/local/lib/python3.8/dist-packages/pytorch_lightning/loops/base.py", line 204, in run
self.advance(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/pytorch_lightning/loops/dataloader/evaluation_loop.py", line 155, in advance
dl_outputs = self.epoch_loop.run(self._data_fetcher, dl_max_batches, kwargs)
File "/usr/local/lib/python3.8/dist-packages/pytorch_lightning/loops/base.py", line 204, in run
self.advance(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/pytorch_lightning/loops/epoch/evaluation_epoch_loop.py", line 128, in advance
output = self._evaluation_step(**kwargs)
File "/usr/local/lib/python3.8/dist-packages/pytorch_lightning/loops/epoch/evaluation_epoch_loop.py", line 226, in _evaluation_step
output = self.trainer._call_strategy_hook("validation_step", *kwargs.values())
File "/usr/local/lib/python3.8/dist-packages/pytorch_lightning/trainer/trainer.py", line 1765, in _call_strategy_hook
output = fn(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/pytorch_lightning/strategies/ddp.py", line 355, in validation_step
return self.model(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1190, in _call_impl
return forward_call(*input, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/torch/nn/parallel/distributed.py", line 1040, in forward
output = self._run_ddp_forward(*inputs, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/torch/nn/parallel/distributed.py", line 1000, in _run_ddp_forward
return module_to_run(*inputs[0], **kwargs[0])
File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1190, in _call_impl
return forward_call(*input, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/pytorch_lightning/overrides/base.py", line 93, in forward
return self.module.validation_step(*inputs, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "/content/drive/.shortcut-targets-by-id/16yrRM5hPVMeHHhrdkyYx5x5K_St7BONp/sd_text_inversion/Stable-textual-inversion_win/ldm/models/diffusion/ddpm.py", line 367, in validation_step
_, loss_dict_no_ema = self.shared_step(batch)
File "/content/drive/.shortcut-targets-by-id/16yrRM5hPVMeHHhrdkyYx5x5K_St7BONp/sd_text_inversion/Stable-textual-inversion_win/ldm/models/diffusion/ddpm.py", line 918, in shared_step
loss = self(x, c)
File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1190, in _call_impl
return forward_call(*input, **kwargs)
File "/content/drive/.shortcut-targets-by-id/16yrRM5hPVMeHHhrdkyYx5x5K_St7BONp/sd_text_inversion/Stable-textual-inversion_win/ldm/models/diffusion/ddpm.py", line 931, in forward
return self.p_losses(x, c, t, *args, **kwargs)
File "/content/drive/.shortcut-targets-by-id/16yrRM5hPVMeHHhrdkyYx5x5K_St7BONp/sd_text_inversion/Stable-textual-inversion_win/ldm/models/diffusion/ddpm.py", line 1082, in p_losses
logvar_t = self.logvar[t].to(self.device)
RuntimeError: indices should be either on cpu or on the same device as the indexed tensor (cpu)

[SerendipitysX]

I have the same problem