Hi everyone!
I was exporting a custom data generator to a tf.Dataset to use my dataset in a memory-efficient way. However, I am encountering this error:-
ValueError: Expect x to be a non-empty array or dataset.
To keep things clean here, I have put all the heavy information on a GitHub Thread.
If anyone requires additional information or help for reproduction, please do not hesitate to ping me! As I have mentioned in my issue, using torch.random.radn((...)) for a dummy dataset seems the fastest way
Dissecting the error message, it seems that in train.py (keras/engine) the Dataset it gets is empty (even though its not) which yields no updates to the model parameters. Since no updates are made, no logs are created. logs is unchanged to its OG value None and it hits the raise statement.
oh, it’s definitely callable - I’ve already put a lambda in the definition of train_dataset but that doesn’t seem to be the source of the error at all.
very simply, in my own script ,train_dataset seems to change its value automatically after a few lines of code and comments none of which actually reference it directly
