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.
HealthChecker	Checks for GPU health.
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.
OptimizerMonitor	Computes and logs the L2 norm of gradients as well as any optimizer-specific metrics implemented in the optimizer's report_per_parameter_metrics method.
RuntimeEstimator	Estimates total training time.
SpeedMonitor	Logs the training throughput and utilization.
ThresholdStopper	Halt training when a metric value reaches a certain threshold.