drytorch.lib

Contains library implementations.

Modules

aggregators	Module containing generic accumulator-based aggregators.
checkpoints	Module containing classes to save the model state and its optimizer state.
evaluations	Module containing classes for the evaluation of a model.
gradient_ops	Module containing gradient operations.
hooks	Module containing registry, callbacks, and hooks for a Trainer.
learning	Module containing classes with learning algorithm's specifications.
loading	Module containing classes nad utilities for batching a dateset.
models	Module containing classes for wrapping a torch module and its optimizer.
objectives	Module containing classes to create and combine loss and metrics.
runners	Module containing classes that run a model.
schedulers	Module containing schedulers for the learning rates.
training	Module containing classes for training a model.