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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_train_start(trainer):
global writer
writer = SummaryWriter(str(trainer.save_dir))
trainer.console.info(f"Logging results to {trainer.save_dir}\n"
f"Starting training for {trainer.args.epochs} epochs...")
def on_batch_end(trainer):
_log_scalars(trainer.label_loss_items(trainer.tloss, prefix="train"), trainer.epoch)
def on_val_end(trainer):
_log_scalars(trainer.metrics, trainer.epoch)
callbacks = {"on_train_start": on_train_start, "on_val_end": on_val_end, "on_batch_end": on_batch_end}