That's because StopIteration is the normal, expected signal to tell whomever is iterating that there is nothing more to be produced. A generator function is a special kind of iterator; it indeed raises StopIteration when the function is done (i.e. when it returns, …
This represents the best guess PyTorch can make because PyTorch trusts user :attr:`dataset` code in ... _next_index() # may raise StopIteration data = self.
31.07.2018 · raise StopIteration StopIteration. So i tried training with other batch size like 8, 20, everytime it prints out that signal. and i calculated batch_size * iteration step. then everytime the calculated number is around 16,480 with difference batch size and iter steps. The problem occured part of pytorch dataloader is. if self.batches ...
Models¶. Model parameters very much depend on the dataset for which they are destined. PyTorch Forecasting provides a .from_dataset() method for each model that takes a TimeSeriesDataSet and additional parameters that cannot directy derived from the dataset such as, e.g. learning_rate or hidden_size.. To tune models, optuna can be used. For example, tuning …
16.04.2021 · I have written a custom Iterable Dataloader for my project. While testing it for a single epoch, it goes through the whole data, then resets the counter to zero and starts iterating again bypassing the “raise StopIteration” command. I am a bit confused why it is working this way. Any help would be highly appreciated.