hi authors, I want to try a situation when VAE is disabled and save its weights. but I was trapped in some problems(sorry, I just started)
File "/Users/eanson/opt/miniconda3/envs/temos/lib/python3.9/site-packages/pytorch_lightning/strategies/strategy.py", line 370, in validation_step
return self.model.validation_step(*args, **kwargs)
File "/Users/eanson/Documents/dl/TEMOS/temos/model/base.py", line 33, in validation_step
return self.allsplit_step("val", batch, batch_idx)
File "/Users/eanson/Documents/dl/TEMOS/temos/model/temos.py", line 144, in allsplit_step
loss = self.losses[split].update(ds_text=datastruct_from_text,
File "/Users/eanson/Documents/dl/TEMOS/temos/model/losses/compute.py", line 83, in update
total += self._update_loss("kl_text2motion", dis_text, dis_motion)
File "/Users/eanson/Documents/dl/TEMOS/temos/model/losses/compute.py", line 105, in _update_loss
val = self._losses_func[loss](outputs, inputs)
File "/Users/eanson/Documents/dl/TEMOS/temos/model/losses/kl.py", line 9, in __call__
div = torch.distributions.kl_divergence(q, p)
File "/Users/eanson/opt/miniconda3/envs/temos/lib/python3.9/site-packages/torch/distributions/kl.py", line 170, in kl_divergence
raise NotImplementedError("No KL(p || q) is implemented for p type {} and q type {}"
NotImplementedError: No KL(p || q) is implemented for p type NoneType and q type NoneType
hi authors, I want to try a situation when VAE is disabled and save its weights. but I was trapped in some problems(sorry, I just started)
pip list