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# Ultralytics YOLO 🚀, GPL-3.0 license
from torch.utils.tensorboard import SummaryWriter
writer = None # TensorBoard SummaryWriter instance
def _log_scalars(scalars, step=0):
for k, v in scalars.items():
writer.add_scalar(k, v, step)
def on_pretrain_routine_start(trainer):
global writer
writer = SummaryWriter(str(trainer.save_dir))
def on_batch_end(trainer):
_log_scalars(trainer.label_loss_items(trainer.tloss, prefix='train'), trainer.epoch + 1)
def on_fit_epoch_end(trainer):
_log_scalars(trainer.metrics, trainer.epoch + 1)
callbacks = {
'on_pretrain_routine_start': on_pretrain_routine_start,
'on_fit_epoch_end': on_fit_epoch_end,
'on_batch_end': on_batch_end}