MultiTrainingCallback¶

class MultiTrainingCallback(callbacks=None)[source]¶

A wrapper for calling multiple training callbacks together.

Initialize the callback.

Methods Summary

`on_batch`(epoch, batch, batch_loss, **kwargs)	Call for each batch.
`post_batch`(epoch, batch, **kwargs)	Call after each batch.
`post_epoch`(epoch, epoch_loss, **kwargs)	Call after epoch.
`post_train`(losses, **kwargs)	Call after training.
`register_callback`(callback)	Register a callback.
`register_training_loop`(loop)	Register the training loop.

Methods Documentation

on_batch(epoch, batch, batch_loss, **kwargs)[source]¶

Call for each batch.

post_batch(epoch, batch, **kwargs)[source]¶

Call after each batch.

post_epoch(epoch, epoch_loss, **kwargs)[source]¶

Call after epoch.

post_train(losses, **kwargs)[source]¶

Call after training.

register_callback(callback)[source]¶

Register a callback.

register_training_loop(loop)[source]¶

Register the training loop.