[QST] Not generating labels during training after mapping to empty list

❓ Questions & Help

Details

Following along the example notebooks (TF), I map the training labels to an empty list, as done in the tutorial:
dataloader.map(lambda X, y: (X, []))
However, when I then print out the labels during training they remain empty:
Batch output (y_true) =
Although, the tutorial says: The reason we set the targets to [] in the data-loader because the true item labels are computed internally by the MaskSequence class.
Is there somewhere particular that might be causing this issue that you could suggest?

Thanks!

Start with the TensorFlow example notebooks and reproduce the dataloader.map(lambda X, y: (X, [])) training flow. Inspect how MaskSequence computes true item labels and compare the observed empty y_true output with the tutorial's expected behavior; done means the cause is identified and the training labels match the documented flow.