pytorch_pfn_extras.training.IgniteExtensionsManager

class pytorch_pfn_extras.training.IgniteExtensionsManager(engine, models, optimizers, max_epochs, *, extensions=None, out_dir='result', writer=None, enable_profile=False)

Manages extensions and the current status in Ignite training loop.

Parameters

  • engine (ignite.engine.Engine) – Ignite trainer engine

  • models (dict or torch.nn.Module) – Map of string to Module or an actual Module

  • optimizers (dict or torch.Optimizer) – Map of string to Optimizer or an actual Optimizer.

  • max_epochs (int) – Number of epochs in the whole training loop.

  • extensions (list or None) – List of Extentions to be used.

  • out_dir (str) – Output directory (default: result).

  • writer (writing.Writer object) – Writer that can be used by extensions to write data to custom filesystems.

  • enable_profile (bool) – Flag to enable/disable profiling of iterations. Default is False.

Return type

None

__init__(engine, models, optimizers, max_epochs, *, extensions=None, out_dir='result', writer=None, enable_profile=False)
Parameters

  • engine (ignite.engine.Engine) –

  • models (Union[torch.nn.modules.module.Module, Mapping[str, torch.nn.modules.module.Module]]) –

  • optimizers (Union[torch.optim.optimizer.Optimizer, Mapping[str, torch.optim.optimizer.Optimizer]]) –

  • max_epochs (int) –

  • extensions (Optional[Sequence[extension_module.ExtensionLike]]) –

  • out_dir (str) –

  • writer (Optional[pytorch_pfn_extras.writing._writer_base.Writer]) –

  • enable_profile (bool) –

Return type

None

Methods

__init__(engine, models, optimizers, …[, …])

extend(extension[, name, trigger, priority, …])

Registers an extension to the manager.

get_extension(name)

Returns the extension of a given name.

load_state_dict(to_load)

needs_model_state([iteration])

needs_state_this_iteration()

run_extensions(*[, completed, only_iterations])

set_ignite_handlers()

start_extensions()

state_dict()

Attributes

elapsed_time

epoch

epoch_detail

is_before_training

iteration

models

optimizers

out

raw_models

stop_trigger

updater

pytorch_pfn_extras.training.ExtensionsManager pytorch_pfn_extras.training.extension.make_extension