pytorch_pfn_extras.handler.BaseHandler#

class pytorch_pfn_extras.handler.BaseHandler(logic, options, *args, **kwargs)#

Bases: object

Base class of Handler.

Parameters:

  • logic (Logic) – A logic.

  • options (Dict[str, Any]) –

  • args (Any) –

  • kwargs (Any) –

Methods

__init__(logic, options, *args, **kwargs)

Base class of Handler.

consume_options(options)

A method to update options of Handler.

eval_loop_begin(evaluator)

A method called before each evaluation step.

eval_loop_end(evaluator)

A method called after running all steps of the evaluation.

eval_post_step(evaluator, batch_idx, batch, ...)

A method called after each evaluation step.

eval_setup(evaluator, loader)

A method called only once when starting a training run.

eval_step(evaluator, batch_idx, batch, ...)

Evaluation iteration.

train_cleanup(trainer)

A method called only once when compleing a training run.

train_epoch_begin(trainer, loader)

A method called when starting a new epoch.

train_epoch_end(trainer)

A method called when finishing an epoch.

train_post_step(trainer, batch_idx, batch, ...)

A method called after each training step.

train_setup(trainer, loader)

A method called only once when starting a training run.

train_step(trainer, batch_idx, batch, ...)

A training step.

train_validation_begin(trainer, evaluator)

A method called when starting a validation.

train_validation_end(trainer, evaluator)

A method called after validation.
__init__(logic, options, *args, **kwargs)#

Base class of Handler.

Parameters:

  • logic (Logic) – A logic.

  • options (Dict[str, Any]) –

  • args (Any) –

  • kwargs (Any) –

Return type:

None

consume_options(options)#

A method to update options of Handler.

Note that the given dict will be modified.

Parameters:

options (dict) – Option key-values to be set.

Return type:

None

eval_loop_begin(evaluator)#

A method called before each evaluation step.

Parameters:

evaluator (Evaluator) – The evaluator.

Return type:

None

eval_loop_end(evaluator)#

A method called after running all steps of the evaluation.

Parameters:

evaluator (Evaluator) –

Return type:

None

eval_post_step(evaluator, batch_idx, batch, outputs)#

A method called after each evaluation step.

Parameters:

  • evaluator (Evaluator) –

  • batch_idx (int) –

  • batch (Any) –

  • outputs (Any) –

Return type:

None

eval_setup(evaluator, loader)#

A method called only once when starting a training run. When evaluator is not given, this method is not called.

Parameters:
Return type:

None

eval_step(evaluator, batch_idx, batch, complete_fn)#

Evaluation iteration.

Parameters:

  • evaluator (Evaluator) –

  • batch_idx (int) –

  • batch (Any) –

  • complete_fn (Callable[[int, Any], None]) –

Return type:

None

train_cleanup(trainer)#

A method called only once when compleing a training run.

Parameters:

trainer (Trainer) –

Return type:

None

train_epoch_begin(trainer, loader)#

A method called when starting a new epoch.

Parameters:

  • trainer (Trainer) –

  • loader (Iterable[Any]) –

Return type:

None

train_epoch_end(trainer)#

A method called when finishing an epoch.

Parameters:

trainer (Trainer) –

Return type:

None

train_post_step(trainer, batch_idx, batch, outputs)#

A method called after each training step.

Parameters:

  • trainer (Trainer) –

  • batch_idx (int) –

  • batch (Any) –

  • outputs (Any) –

Return type:

None

train_setup(trainer, loader)#

A method called only once when starting a training run.

Parameters:

  • trainer (Trainer) –

  • loader (Iterable[Any]) –

Return type:

None

train_step(trainer, batch_idx, batch, complete_fn)#

A training step.

Parameters:

  • trainer (Trainer) –

  • batch_idx (int) –

  • batch (Any) –

  • complete_fn (Callable[[int, Any], None]) –

Return type:

None

train_validation_begin(trainer, evaluator)#

A method called when starting a validation.

Parameters:
Return type:

None

train_validation_end(trainer, evaluator)#

A method called after validation.

Parameters:

  • trainer (Trainer) – The trainer that calls this method.

  • evaluator (Evaluator) – The evaluator used for validation.

Return type:

None