o ei\@sZdZddlZddlmZddlmZmZmZeeZ eGdddZ Gdd d e Z dS) zImplements a checkpointable epoch counter (loop), optionally integrating early stopping. Authors * Aku Rouhe 2020 * Davide Borra 2021 N) get_logger)mark_as_loader mark_as_saverregister_checkpoint_hooksc@sBeZdZdZddZddZddZedd Ze dd d Z d S) EpochCounteraAn epoch counter which can save and recall its state. Use this as the iterator for epochs. Note that this iterator gives you the numbers from [1 ... limit] not [0 ... limit-1] as range(limit) would. Arguments --------- limit: int maximum number of epochs Example ------- >>> from speechbrain.utils.checkpoints import Checkpointer >>> tmpdir = getfixture('tmpdir') >>> epoch_counter = EpochCounter(10) >>> recoverer = Checkpointer(tmpdir, {"epoch": epoch_counter}) >>> recoverer.recover_if_possible() >>> # Now after recovery, >>> # the epoch starts from where it left off! >>> for epoch in epoch_counter: ... # Run training... ... ckpt = recoverer.save_checkpoint() cCsd|_t||_dS)Nr)currentintlimit)selfr r Z/home/ubuntu/transcripts/venv/lib/python3.10/site-packages/speechbrain/utils/epoch_loop.py__init__0szEpochCounter.__init__cCs|S)Nr r r r r __iter__4szEpochCounter.__iter__cCs6|j|jkr|jd7_td|j|jSt)NrzGoing into epoch )rr loggerinfo StopIterationrr r r __next__7s zEpochCounter.__next__cCsDt|ddd}|t|jWddS1swYdS)Nwutf-8encoding)openwritestrrr pathfor r r _save>s"zEpochCounter._saveTcCsdt|dd"}t|}|r||_n |d|_WddSWddS1s+wYdS)Nrrr)rr readr)r r end_of_epochfi saved_valuer r r _recoverCs  "zEpochCounter._recoverN)T) __name__ __module__ __qualname____doc__rrrrrrr$r r r r rs rcsNeZdZdZfddZfddZddZedd Ze dd d Z Z S)EpochCounterWithStoppera-An epoch counter which can save and recall its state, integrating an early stopper by tracking a target metric. Arguments --------- limit: int maximum number of epochs limit_to_stop : int maximum number of consecutive epochs without improvements in performance limit_warmup : int number of epochs to wait until start checking for early stopping direction : "max" or "min" direction to optimize the target metric Example ------- >>> limit = 10 >>> limit_to_stop = 5 >>> limit_warmup = 2 >>> direction = "min" >>> epoch_counter = EpochCounterWithStopper(limit, limit_to_stop, limit_warmup, direction) >>> for epoch in epoch_counter: ... # Run training... ... # Track a validation metric, (insert calculation here) ... current_valid_metric = 0 ... # Update epoch counter so that we stop at the appropriate time ... epoch_counter.update_metric(current_valid_metric) ... print(epoch) 1 2 3 4 5 6 7 8 cst|||_||_||_d|_d|_d|_|jdkr!td|jdkr*td|jdkr:t dd|_ |_ dS|jd krKt d d |_ |_ dStd ) NFrgư>z$Stopper 'limit_to_stop' must be >= 0z#Stopper 'limit_warmup' must be >= 0mininfrmaxz*Stopper 'direction' must be 'min' or 'max') superr limit_to_stop limit_warmup direction should_stop best_limit min_delta ValueErrorfloat best_scoresign)r r r/r0r1 __class__r r rws     z EpochCounterWithStopper.__init__cs|jrttS)z.Stop iteration if we've reached the condition.)r2rr.rrr9r r rs z EpochCounterWithStopper.__next__cCs||j|jkr:|j||jd|j|jkr|j|_||_|j|j}||jk|_|jrrr?r7r2)rr@ safe_loadrr3r7r2)r rr!devicer" saved_dictr r r r$s     "z EpochCounterWithStopper._recover)TN) r%r&r'r(rrr=rrrr$ __classcell__r r r9r r)Qs %   r)) r(r@speechbrain.utils.loggerr checkpointsrrrr%rrr)r r r r s ;