Lpd

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* Introduced Phase and State to control timing of callback invocation
* Added example of SchedulerStep every batch in train state
* Trainer support for native pytorch dataloader
* Added data loader example

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* Added support for setting trainer's scheduler to None
* Added name property to trainer
* Added trainer's description
* Added last train/val/test loss objects
* Reduce package size by moving images to another repo
* Added another example "Basic"
* If no metrics provided, EpochEndStats will print "no metrics found"
* Fixed trainer crash if no metric_name_to_func was provided
* Added seed_all to general_utils
* Added seed_torch to torch_utils
* Added readme about utils

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* Added optional round_values_on_print_to to EpochEndStats and ModelCheckPoint callbacks
* Removed round_values_to from TrainerStats & Stats (it didnt made sense anyway)
* Removed print_round_values_to from trainer, its now on the callbacks themselves
* Updated readme

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* Splited TrainerStats class into TrainerStats & Stats
* Can now easily call trainer.train_stats.get_loss() or trainer.val_stats.get_metrics()
* TrainerStats now has a reset() function
* Using configs in example
* Code clean up and cosmetics

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* Scheduler step as callback, support for step() with or without parameters

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- First Release