pytorch_pfn_extras.training.trigger.Trigger#

class pytorch_pfn_extras.training.trigger.Trigger#

Bases: object

Base class for triggers.

Methods

__init__()

load_state_dict(state)

may_fire(iteration, epoch_len)

Flags if the trigger may fire at the current iteration

state_dict()

__call__(manager)#

Call self as a function.

Parameters:

manager (ExtensionsManagerProtocol) –

Return type:

bool

load_state_dict(state)#
Parameters:

state (Dict[str, Any]) –

Return type:

None

may_fire(iteration, epoch_len)#

Flags if the trigger may fire at the current iteration

This must not alter the trigger state

Parameters:

  • iteration (int) –

  • epoch_len (int) –

Return type:

bool

state_dict()#
Return type:

Dict[str, Any]