Keeping the state after loading from a checkpoint

Hello,

I'm running an experiment using Deep Learning Toolbox. I'd like to resume execution after restarting from a checkpoint. However, the results aren't the same after every restart eventhough I save the global random generator state using s = rng(); before checkpointing and restoring it back with rng(s); after the loading from the checkpoint.

If I restart Matlab and then restart from the checkpoint then the results are the same.

What else do I need to save s.t. I can restart from a checkpoint and obtain the same results?

Thx

[John Smith]

After more digging, the problem is that Matlab resets the datastore/minibatchqueue after reloading from a checkpoint rather than continuing from the checkpoint.

Is this a bug or an (undocumented) feature?