How to reproduce the same training process when using "train_from"

Dear,

When the model training was forced to stop due to an accident. I use the opt "train_from" to continue training from the checkpoint. But the result is different from the tranining from start to finish without stopping:

1. The stored patience for "early stop" was not saved into checkpoint.
2. The order of data batch provied train_iter is different, when train_from a checkpoint. （When train_from, it starts over from the begining of the dataset and the data are very different from where it stands at the step of saved checkpoint）

Note that i fixed all random seed.

So it is very convenient that If a reproduction mechanism can be added into the code base. Any help will be greatly appreciated.