Hello! When I train the DiffCast on my own dataset, the following error occurred:
NotImplementedError: We are sorry that we do not supportthe training process for now because of business limitation
This error was thrown by the predict function of GaussianDiffusion because the compute_loss parameter was set to True during training.
def predict(self, frames_in, compute_loss=False, **kwargs):
T_out = default(kwargs.get('T_out'), 20)
pred, mu, y = self.sample(frames_in=frames_in, T_out=T_out)
if compute_loss:
raise NotImplementedError("We are sorry that we do not support training process for now because of business limitation ")
return pred, None
So how can I train the model correctly? Thanks!
Hello! When I train the DiffCast on my own dataset, the following error occurred:
NotImplementedError: We are sorry that we do not supportthe training process for now because of business limitationThis error was thrown by the predict function of GaussianDiffusion because the compute_loss parameter was set to True during training.
def predict(self, frames_in, compute_loss=False, **kwargs):
T_out = default(kwargs.get('T_out'), 20)
pred, mu, y = self.sample(frames_in=frames_in, T_out=T_out)
if compute_loss:
raise NotImplementedError("We are sorry that we do not support training process for now because of business limitation ")
return pred, None
So how can I train the model correctly? Thanks!