experiment

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Functions for training.

Modules

assembly

Assembling graphs for a training run

checkpoints

Checkpoint and state generation.

controllers

Managing optimizer, scheduler, and end of training

device

This file is used to host the function set_devices, as it is needed by both serialization and routines.

evaluator

Evaluating network performance over a dataset

metric_tracker

Keep track of training metrics over the experiment

routines

Routines for setting up and performing training

step_functions

This file implements various stepping protocols used by different optimizer APIs.