Lpd

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* Trainer - added save_trainer and load_trainer methods
* ModelCheckPoint - added the option to save the full trainer as checkpoint
* Minor bug fix in callback_monitor
* StatsPrint changing dict.keys() to set() to enable saving trainer
* Binary accuracy removed restrictions of ndim==1
* Added more seeds to seed_all and to seed_torch

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* Added verbosity to SchedulerStep
* StatsPrint callback will now print learning rates for all param groups
* Added get_lrs_from_optimizer to torch_utils
* Project PyPI setup fixes

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This release contains breaking changes:
* Renamed cb_phase to apply_on_phase
* Renamed CallbackPhase to Phase, TrainerState to State
* Renamed Trainer.stop_training() to Trainer.stop(), so it also apply to testing
* Trainer now keeps track of iteration count and iteration_in_epoch count
* CallbackContext was expanded with iteration count and iteration_in_epoch count
* Calling Trainer.stop() from a callback will now stop even on a batch level (and not only epoch level)

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* Bug fix in apply_on_states invocation of callbacks

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* Readme fix

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* Added TEST_BEGIN and TEST_END callbacks phases
* Added CallbackMonitor
* Added enums (lpd.enums) State, MonitorType, MonitorMode, StatsType