src/models/utils/logger.py

from torch.utils.tensorboard import SummaryWriter
import os, sys, glob


class logger():
    def __init__(self, args, mode, suffix = None):
        self.outdir = f'{args.outdir}/{args.session_name}'
        if args.test == False:
            logdir = f'{self.outdir}/log'
            for file in glob.glob(f'{logdir}/*'):
                if os.path.isfile(file):
                    os.remove(file)
            self.writer = SummaryWriter(log_dir=f'{logdir}', flush_secs=1)


    def add(self, tag, item, step, itemtype):

        if itemtype == 'Image':
            if len(item.shape) == 3:
                self.writer.add_image(tag, item, global_step=step, dataformats='CHW')
            elif len(item.shape) == 4:
                self.writer.add_images(tag, item, global_step=step, dataformats='NCHW')
            else:
                raise Exception("item.shape must be 3 or 4 (%d)" % len(item.shape))
        elif itemtype == 'Scalar':
            self.writer.add_scalar(tag, item, global_step=step)
        else:
            print('itemtype is not in "Image, Scalar"', file = sys.stderr)