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
Callback to save checkpoints. |
|
Track a metric and halt training if it does not improve within a given interval. |
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Callback to export model for inference. |
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Logs image inputs and optionally outputs. |
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Logs the learning rate. |
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Create compliant results file for MLPerf Training benchmark. |
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Logs the memory usage of the model. |
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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. |
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Logs the training throughput. |
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Halt training when a metric value reaches a certain threshold. |