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

#include <check_metric.hpp>

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Public Member Functions

 check_metric (std::string metric_name, std::set< execution_mode > modes, EvalType lower_bound, EvalType upper_bound, bool error_on_failure)
 
check_metriccopy () const override
 
std::string name () const override
 Return this callback's name. More...
 
void on_epoch_end (model *m) override
 Called immediate after the end of each epoch. More...
 
void on_validation_end (model *m) override
 Called immediately after the end of validation. More...
 
void on_test_end (model *m) override
 Called immediately after the end of testing. 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_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_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
 
 check_metric ()
 
void do_check_metric (const model &m) const
 

Private Attributes

std::string m_metric_name
 
std::set< execution_modem_modes
 
EvalType m_lower_bound
 
EvalType m_upper_bound
 
bool m_error_on_failure
 

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

Metric checking callback. Checks if a metric value falls within an expected range.

Definition at line 39 of file check_metric.hpp.

Constructor & Destructor Documentation

◆ check_metric() [1/2]

lbann::callback::check_metric::check_metric ( std::string  metric_name,
std::set< execution_mode modes,
EvalType  lower_bound,
EvalType  upper_bound,
bool  error_on_failure 
)

◆ check_metric() [2/2]

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

◆ copy()

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

Implements lbann::callback_base.

Definition at line 47 of file check_metric.hpp.

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◆ do_check_metric()

void lbann::callback::check_metric::do_check_metric ( const model m) const
private

Perform metric check. Does nothing if current execution mode is not in m_modes;

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◆ name()

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

Return this callback's name.

Implements lbann::callback_base.

Definition at line 48 of file check_metric.hpp.

◆ on_epoch_end()

void lbann::callback::check_metric::on_epoch_end ( model m)
inlineoverridevirtual

Called immediate after the end of each epoch.

Reimplemented from lbann::callback_base.

Definition at line 50 of file check_metric.hpp.

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◆ on_test_end()

void lbann::callback::check_metric::on_test_end ( model m)
inlineoverridevirtual

Called immediately after the end of testing.

Reimplemented from lbann::callback_base.

Definition at line 52 of file check_metric.hpp.

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◆ on_validation_end()

void lbann::callback::check_metric::on_validation_end ( model m)
inlineoverridevirtual

Called immediately after the end of validation.

Reimplemented from lbann::callback_base.

Definition at line 51 of file check_metric.hpp.

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◆ serialize()

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

Store state to archive for checkpoint and restart.

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◆ write_specific_proto()

void lbann::callback::check_metric::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 67 of file check_metric.hpp.

Member Data Documentation

◆ m_error_on_failure

bool lbann::callback::check_metric::m_error_on_failure
private

Whether to throw an exception if metric check fails.

Definition at line 82 of file check_metric.hpp.

◆ m_lower_bound

EvalType lbann::callback::check_metric::m_lower_bound
private

Lower bound for metric value.

Definition at line 77 of file check_metric.hpp.

◆ m_metric_name

std::string lbann::callback::check_metric::m_metric_name
private

Metric name.

Definition at line 71 of file check_metric.hpp.

◆ m_modes

std::set<execution_mode> lbann::callback::check_metric::m_modes
private

Execution modes with metric checks.

Definition at line 74 of file check_metric.hpp.

◆ m_upper_bound

EvalType lbann::callback::check_metric::m_upper_bound
private

Upper bound for metric value.

Definition at line 79 of file check_metric.hpp.


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