callback_hparams_registry#

Hyperparameter registry for callbacks.

Classes

`Callback`	Base class for callbacks.
`CheckpointSaver`	Callback to save checkpoints.
`EarlyStopper`	Track a metric and halt training if it does not improve within a given interval.
`ExportForInferenceCallback`	Callback to export model for inference.
`GradMonitor`	Computes and logs the L2 norm of gradients on the `Event.AFTER_TRAIN_BATCH` event.
`ImageVisualizer`	Logs image inputs and optionally outputs.
`LRMonitor`	Logs the learning rate.
`MLPerfCallback`	Create compliant results file for MLPerf Training benchmark.
`MemoryMonitor`	Logs the memory usage of the model.
`SpeedMonitor`	Logs the training throughput.
`ThresholdStopper`	Halt training when a metric value reaches a certain threshold.

Attributes