LBANN  0.103.0
LivermoreBigArtificialNeuralNetworkToolkit
lbann::callback::early_stopping Class Reference

#include <early_stopping.hpp>

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Public Member Functions

 early_stopping (int64_t patience)
 
 early_stopping (const early_stopping &)=default
 
early_stoppingoperator= (const early_stopping &)=default
 
early_stoppingcopy () const override
 
void on_validation_end (model *m) override
 
std::string name () const override
 Return this callback's name. More...
 
Serialization
template<class Archive >
void serialize (Archive &ar)
 Store state to archive for checkpoint and restart. More...
 
- Public Member Functions inherited from lbann::callback_base
 callback_base (int batch_interval=1)
 Initialize a callback with an optional batch interval. More...
 
 callback_base (const callback_base &)=default
 
virtual ~callback_base ()=default
 
virtual void setup (trainer *t)
 Called once to set up the callback on the trainer. More...
 
virtual void setup (model *m)
 Called once to set up the callback on the model (after all layers are set up). More...
 
virtual void on_setup_end (model *m)
 Called at the end of setup. More...
 
virtual void on_train_begin (model *m)
 Called at the beginning of training. More...
 
virtual void on_train_end (model *m)
 Called at the end of training. More...
 
virtual void on_phase_end (model *m)
 Called at the end of every phase (multiple epochs) in a layer-wise model training. More...
 
virtual void on_epoch_begin (model *m)
 Called at the beginning of each epoch. More...
 
virtual void on_epoch_end (model *m)
 Called immediate after the end of each epoch. More...
 
virtual void on_batch_begin (model *m)
 Called at the beginning of a (mini-)batch. More...
 
virtual void on_batch_end (model *m)
 Called immediately after the end of a (mini-)batch. More...
 
virtual void on_test_begin (model *m)
 Called at the beginning of testing. More...
 
virtual void on_test_end (model *m)
 Called immediately after the end of testing. More...
 
virtual void on_validation_begin (model *m)
 Called at the beginning of validation. More...
 
virtual void on_forward_prop_begin (model *m)
 Called when a model begins forward propagation. More...
 
virtual void on_forward_prop_begin (model *m, Layer *l)
 Called when a layer begins forward propagation. More...
 
virtual void on_forward_prop_end (model *m)
 Called when a model ends forward propagation. More...
 
virtual void on_forward_prop_end (model *m, Layer *l)
 Called when a layer ends forward propagation. More...
 
virtual void on_backward_prop_begin (model *m)
 Called when a model begins backward propagation. More...
 
virtual void on_backward_prop_begin (model *m, Layer *l)
 Called when a layer begins backward propagation. More...
 
virtual void on_backward_prop_end (model *m)
 Called when a model ends backward propagation. More...
 
virtual void on_backward_prop_end (model *m, Layer *l)
 Called when a layer ends backward propagation. More...
 
virtual void on_optimize_begin (model *m)
 Called when a model begins optimization. More...
 
virtual void on_optimize_begin (model *m, weights *w)
 Called when weights begins optimization. More...
 
virtual void on_optimize_end (model *m)
 Called when a model ends optimization. More...
 
virtual void on_optimize_end (model *m, weights *w)
 Called when weights ends optimization. More...
 
virtual void on_batch_evaluate_begin (model *m)
 Called at the beginning of a (mini-)batch evaluation (validation / testing). More...
 
virtual void on_batch_evaluate_end (model *m)
 Called at the end of a (mini-)batch evaluation (validation / testing). More...
 
virtual void on_evaluate_forward_prop_begin (model *m)
 Called when a model begins forward propagation for evaluation (validation / testing). More...
 
virtual void on_evaluate_forward_prop_begin (model *m, Layer *l)
 Called when a layer begins forward propagation for evaluation (validation / testing). More...
 
virtual void on_evaluate_forward_prop_end (model *m)
 Called when a model ends forward propagation for evaluation (validation / testing). More...
 
virtual void on_evaluate_forward_prop_end (model *m, Layer *l)
 Called when a layer ends forward propagation for evaluation (validation / testing). More...
 
int get_batch_interval () const
 Return the batch interval. More...
 
virtual description get_description () const
 Human-readable description. More...
 
template<class Archive >
void serialize (Archive &ar)
 Store state to archive for checkpoint and restart. More...
 
void write_proto (lbann_data::Callback &proto) const
 Write a protobuf description of the callback. More...
 

Private Member Functions

void write_specific_proto (lbann_data::Callback &proto) const final
 
 early_stopping ()
 

Private Attributes

int64_t m_patience
 
EvalType m_last_score = std::numeric_limits<EvalType>::max()
 
int64_t m_wait = 0
 

Friends

class cereal::access
 

Additional Inherited Members

- Protected Member Functions inherited from lbann::callback_base
std::string get_multi_trainer_path (const model &m, const std::string &root_dir)
 Build a standard directory hierarchy including trainer ID. More...
 
std::string get_multi_trainer_ec_model_path (const model &m, const std::string &root_dir)
 Build a standard directory hierachy including trainer, execution context, and model information (in that order). More...
 
std::string get_multi_trainer_model_path (const model &m, const std::string &root_dir)
 Build a standard directory hierachy including trainer, model information in that order. More...
 
callback_baseoperator= (const callback_base &)=default
 Copy-assignment operator. More...
 
- Protected Attributes inherited from lbann::callback_base
int m_batch_interval
 Batch methods should once every this many steps. More...
 

Detailed Description

Stop training after validation error stops improving.

Definition at line 42 of file early_stopping.hpp.

Constructor & Destructor Documentation

◆ early_stopping() [1/3]

lbann::callback::early_stopping::early_stopping ( int64_t  patience)

Continue training until score has not improved for patience epochs.

◆ early_stopping() [2/3]

lbann::callback::early_stopping::early_stopping ( const early_stopping )
default

◆ early_stopping() [3/3]

lbann::callback::early_stopping::early_stopping ( )
private
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Member Function Documentation

◆ copy()

early_stopping* lbann::callback::early_stopping::copy ( ) const
inlineoverridevirtual

Implements lbann::callback_base.

Definition at line 51 of file early_stopping.hpp.

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◆ name()

std::string lbann::callback::early_stopping::name ( ) const
inlineoverridevirtual

Return this callback's name.

Implements lbann::callback_base.

Definition at line 54 of file early_stopping.hpp.

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◆ on_validation_end()

void lbann::callback::early_stopping::on_validation_end ( model m)
overridevirtual

Update validation score and check for early stopping.

Reimplemented from lbann::callback_base.

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◆ operator=()

early_stopping& lbann::callback::early_stopping::operator= ( const early_stopping )
default

◆ serialize()

template<class Archive >
void lbann::callback::early_stopping::serialize ( Archive &  ar)

Store state to archive for checkpoint and restart.

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◆ write_specific_proto()

void lbann::callback::early_stopping::write_specific_proto ( lbann_data::Callback &  proto) const
finalprivatevirtual

Add callback specific data to prototext

Implements lbann::callback_base.

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Friends And Related Function Documentation

◆ cereal::access

friend class cereal::access
friend

Definition at line 69 of file early_stopping.hpp.

Member Data Documentation

◆ m_last_score

EvalType lbann::callback::early_stopping::m_last_score = std::numeric_limits<EvalType>::max()
private

Last recorded score.

Definition at line 75 of file early_stopping.hpp.

◆ m_patience

int64_t lbann::callback::early_stopping::m_patience
private

Number of epochs to wait for improvements.

Definition at line 73 of file early_stopping.hpp.

◆ m_wait

int64_t lbann::callback::early_stopping::m_wait = 0
private

Current number of epochs without improvement.

Definition at line 77 of file early_stopping.hpp.


The documentation for this class was generated from the following file: