Example #1
0
def save_checkpoint_bleu(args, trainer, epoch_itr, val_loss, val_bleu):
    if args.no_save or not distributed_utils.is_master(args):
        return
    epoch = epoch_itr.epoch
    end_of_epoch = epoch_itr.end_of_epoch()
    updates = trainer.get_num_updates()

    checkpoint_conds = collections.OrderedDict()
    checkpoint_conds['checkpoint{}.pt'.format(epoch)] = (
        end_of_epoch and not args.no_epoch_checkpoints
        and epoch % args.save_interval == 0)
    checkpoint_conds['checkpoint_{}_{}.pt'.format(
        epoch, updates)] = (not end_of_epoch and args.save_interval_updates > 0
                            and updates % args.save_interval_updates == 0)
    checkpoint_conds['checkpoint_best_bleu.pt'] = (
        val_bleu is not None
        and (not hasattr(save_checkpoint_bleu, 'best_bleu')
             or val_bleu > save_checkpoint_bleu.best_bleu))

    checkpoint_conds[
        'checkpoint_last.pt'] = True  # keep this last so that it's a symlink

    prev_best_bleu = getattr(save_checkpoint_bleu, 'best_bleu', val_bleu)

    if val_bleu is not None:
        save_checkpoint_bleu.best_bleu = max(val_bleu, prev_best_bleu)

    extra_state = {
        'train_iterator': epoch_itr.state_dict(),
        'val_loss': val_loss,
        'val_bleu': val_bleu,
    }

    if hasattr(save_checkpoint_bleu, 'best_bleu'):
        extra_state.update({'best_bleu': save_checkpoint_bleu.best_bleu})

    checkpoints = [
        os.path.join(args.save_dir, fn)
        for fn, cond in checkpoint_conds.items() if cond
    ]
    if len(checkpoints) > 0:
        for cp in checkpoints:
            trainer.save_checkpoint(cp, extra_state)

    if not end_of_epoch and args.keep_interval_updates > 0:
        # remove old checkpoints; checkpoints are sorted in descending order
        checkpoints = utils.checkpoint_paths(
            args.save_dir, pattern=r'checkpoint_\d+_(\d+)\.pt')
        for old_chk in checkpoints[args.keep_interval_updates:]:
            if os.path.lexists(old_chk):
                os.remove(old_chk)

    if args.keep_last_epochs > 0:
        # remove old epoch checkpoints; checkpoints are sorted in descending order
        # checkpoints = utils.checkpoint_paths(args.save_dir, pattern=r'checkpoint\d+\.pt')
        checkpoints = utils.checkpoint_paths(args.save_dir,
                                             pattern=r'checkpoint(\d+)\.pt')
        for old_chk in checkpoints[args.keep_last_epochs:]:
            if os.path.lexists(old_chk):
                os.remove(old_chk)
Example #2
0
def save_checkpoint(args, trainer, epoch_itr, val_loss):
    if args.no_save or not distributed_utils.is_master(args):
        return

    write_timer = StopwatchMeter()
    write_timer.start()

    epoch = epoch_itr.epoch
    end_of_epoch = epoch_itr.end_of_epoch()
    updates = trainer.get_num_updates()

    checkpoint_conds = collections.OrderedDict()
    checkpoint_conds['checkpoint{}.pt'.format(epoch)] = (
            end_of_epoch and not args.no_epoch_checkpoints and
            epoch % args.save_interval == 0
    )
    checkpoint_conds['checkpoint_{}_{}.pt'.format(epoch, updates)] = (
            not end_of_epoch and args.save_interval_updates > 0 and
            updates % args.save_interval_updates == 0
    )
    checkpoint_conds['checkpoint_best.pt'] = (
            val_loss is not None and
            (not hasattr(save_checkpoint, 'best') or val_loss < save_checkpoint.best)
    )
    checkpoint_conds['checkpoint_last.pt'] = True  # keep this last so that it's a symlink

    prev_best = getattr(save_checkpoint, 'best', val_loss)
    if val_loss is not None:
        save_checkpoint.best = min(val_loss, prev_best)
    extra_state = {
        'train_iterator': epoch_itr.state_dict(),
        'val_loss': val_loss,
    }
    if hasattr(save_checkpoint, 'best'):
        extra_state.update({'best': save_checkpoint.best})

    checkpoints = [os.path.join(args.save_dir, fn) for fn, cond in checkpoint_conds.items() if cond]
    if len(checkpoints) > 0:
        for cp in checkpoints:
            trainer.save_checkpoint(cp, extra_state)

    if not end_of_epoch and args.keep_interval_updates > 0:
        # remove old checkpoints; checkpoints are sorted in descending order
        checkpoints = utils.checkpoint_paths(args.save_dir, pattern=r'checkpoint_\d+_(\d+)\.pt')
        for old_chk in checkpoints[args.keep_interval_updates:]:
            if os.path.lexists(old_chk):
                os.remove(old_chk)

    if args.keep_last_epochs > 0:
        # remove old epoch checkpoints; checkpoints are sorted in descending order
        checkpoints = utils.checkpoint_paths(args.save_dir, pattern=r'checkpoint(\d+)\.pt')
        for old_chk in checkpoints[args.keep_last_epochs:]:
            if os.path.lexists(old_chk):
                os.remove(old_chk)

    write_timer.stop()

    print('| saved checkpoint {} (epoch {} @ {} updates) (writing took {} seconds)'.format(
        checkpoints[0], epoch, updates, write_timer.sum))
Example #3
0
def save_checkpoint(args, trainer, epoch_itr, val_loss):
    if args.no_save or not distributed_utils.is_master(args):
        return
    epoch = epoch_itr.epoch
    end_of_epoch = epoch_itr.end_of_epoch()
    updates = trainer.get_num_updates()

    checkpoint_conds = collections.OrderedDict()
    checkpoint_conds['checkpoint{}.pt'.format(epoch)] = (
        end_of_epoch and not args.no_epoch_checkpoints
        and epoch % args.save_interval == 0)
    checkpoint_conds['checkpoint_{}_{}.pt'.format(
        epoch, updates)] = (not end_of_epoch and args.save_interval_updates > 0
                            and updates % args.save_interval_updates == 0)
    checkpoint_conds['checkpoint_best.pt'] = (
        val_loss is not None and (not hasattr(save_checkpoint, 'best')
                                  or val_loss < save_checkpoint.best))
    checkpoint_conds[
        'checkpoint_last.pt'] = True  # keep this last so that it's a symlink

    prev_best = getattr(save_checkpoint, 'best', val_loss)
    if val_loss is not None:
        save_checkpoint.best = min(val_loss, prev_best)
    extra_state = {
        'best': save_checkpoint.best,
        'train_iterator': epoch_itr.state_dict(),
        'val_loss': val_loss,
    }

    checkpoints = [
        os.path.join(args.save_dir, fn)
        for fn, cond in checkpoint_conds.items() if cond
    ]
    if len(checkpoints) > 0:
        for fn in checkpoints:
            if os.path.exists(fn):
                os.remove(fn)
        if not end_of_epoch and args.keep_interval_updates > 0:
            for cp in checkpoints:
                trainer.save_checkpoint(cp, extra_state)
        else:
            trainer.save_checkpoint(checkpoints[0], extra_state)
            for fn in checkpoints[1:]:
                #os.symlink(os.path.basename(checkpoints[0]), fn)
                trainer.save_checkpoint(fn, extra_state)

    if not end_of_epoch and args.keep_interval_updates > 0:
        # remove old checkpoints; checkpoints are sorted in descending order
        checkpoints = utils.checkpoint_paths(
            args.save_dir, pattern=r'checkpoint_\d+_(\d+)\.pt')
        for old_chk in checkpoints[args.keep_interval_updates:]:
            os.remove(old_chk)
def save_checkpoint(args, trainer, epoch_itr, val_loss):
    if args.no_save or not distributed_utils.is_master(args):
        return
    epoch = epoch_itr.epoch
    end_of_epoch = epoch_itr.end_of_epoch()
    updates = trainer.get_num_updates()

    checkpoint_conds = collections.OrderedDict()
    checkpoint_conds['checkpoint{}.pt'.format(epoch)] = (
            end_of_epoch and not args.no_epoch_checkpoints and
            epoch % args.save_interval == 0
    )
    checkpoint_conds['checkpoint_{}_{}.pt'.format(epoch, updates)] = (
            not end_of_epoch and args.save_interval_updates > 0 and
            updates % args.save_interval_updates == 0
    )
    checkpoint_conds['checkpoint_best.pt'] = (
            val_loss is not None and
            (not hasattr(save_checkpoint, 'best') or val_loss < save_checkpoint.best)
    )
    checkpoint_conds['checkpoint_last.pt'] = True  # keep this last so that it's a symlink

    prev_best = getattr(save_checkpoint, 'best', val_loss)
    if val_loss is not None:
        save_checkpoint.best = min(val_loss, prev_best)
    extra_state = {
        'best': save_checkpoint.best,
        'train_iterator': epoch_itr.state_dict(),
        'val_loss': val_loss,
    }

    checkpoints = [os.path.join(args.save_dir, fn) for fn, cond in checkpoint_conds.items() if cond]
    if len(checkpoints) > 0:
        for cp in checkpoints:
            trainer.save_checkpoint(cp, extra_state)

    if not end_of_epoch and args.keep_interval_updates > 0:
        # remove old checkpoints; checkpoints are sorted in descending order
        checkpoints = utils.checkpoint_paths(args.save_dir, pattern=r'checkpoint_\d+_(\d+)\.pt')
        for old_chk in checkpoints[args.keep_interval_updates:]:
            os.remove(old_chk)