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