torchtraining.epochs¶

This module allows user to run multiple iterations in consecutive order, which constitutes a single epoch.

Currently, only default Epoch is provided.

class torchtraining.epochs.Epoch(*iterations, epochs: int, log: Union[str, int] = 'NONE')[source]¶

Bases: torchtraining._base.Epoch

Loop over specified iterations until epochs number is reached.

See Introduction tutorial<>__ for examples.

Note

IMPORTANT: This module is one of core features so be sure to understand how it works.

Note

IMPORTANT: Usually this is the top most class object used in training (composing multiple iterations).

Parameters

*iterations (Iterable[torchtraining.iterations.Iteration]) – Iterations to be run one after another during single loop pass.
epochs (int) – Keyword only argument specifying number of epochs to run.
log (str | int, optional) –
Severity level for logging object’s actions. Available levels of logging:
- NONE 0
- TRACE 5
- DEBUG 10
- INFO 20
- SUCCESS 25
- WARNING 30
- ERROR 40
- CRITICAL 50
Default: NONE (no logging, 0 priority)