composer.callbacks

Callbacks that run at each training loop Event.

Each callback inherits from the Callback base class. See detailed description and examples for writing your own callbacks at the Callback base class.

Classes

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.