dictionary update sequence element #0 has length 1; 2 is required
See original GitHub issueI’m trying to forecast a time series. For that, I decided to redo the tutorial “Demand forecasting with the Temporal Fusion Transformer”. As the version that is on the GitHub seems to be more recent, I solved the instructions that are there. However, when executing the instruction trainer.fit(tft, train_dataloaders = train_dataloader, val_dataloaders = val_dataloader,)
, the following error message appears: “dictionary update sequence element #0 has length 1; 2 is required”.
I’ve tried all the possibilities I knew, but the error persists.
My notebook on Google Colab: https://colab.research.google.com/drive/1NX-ah_Nuqyt6m2Wsn2WcKkadRariISFu?usp=sharing
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- Created 2 years ago
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Hi! I received the suggestion to change the version of the
torchmetrics
package. Apparently, the version (0.5.1) being used is buggy. I made the change and apparently the notebook is running without error (it’s still running)…The
torchmetrics
package version must be <= 0.5. The version 0.51 is buggy.same error, encountered. +1