This message was deleted.
# neural-forecast
s
This message was deleted.
c
Hi @Tuhin Mallick. In our experience TFT is highly memory intensive. You can limit the memory usage with
windows_batch_size
and
hidden_size
parameters
k
You can also try to reduce the size of the autorregresive features through the
input_size
Hey @Tuhin Mallick, We fixed this week TFT's memory usage: https://github.com/Nixtla/neuralforecast/pull/597 We will merge that PR into main soon. If you want to try the changes, you can install them with this line:
Copy code
!pip install git+<https://github.com/Nixtla/neuralforecast.git>