Ort::CheckpointState Class Reference

Holds the state of the training session. More...

#include <onnxruntime_training_cxx_api.h>

Inheritance diagram for Ort::CheckpointState:

Public Member Functions
	CheckpointState ()=delete
Public Member Functions inherited from Ort::detail::Base< OrtCheckpointState >
constexpr	Base ()=default
constexpr	Base (contained_type *p) noexcept
	Base (const Base &)=delete
	Base (Base &&v) noexcept
	~Base ()
Base &	operator= (const Base &)=delete
Base &	operator= (Base &&v) noexcept
constexpr	operator contained_type * () const noexcept
contained_type *	release ()
	Relinquishes ownership of the contained C object pointer The underlying object is not destroyed.

Accessing The Training Session State
void	AddProperty (const std::string &property_name, const Property &property_value)
	Adds the given property to the checkpoint state.
Property	GetProperty (const std::string &property_name)
	Gets the property value associated with the given name from the checkpoint state.
static CheckpointState	LoadCheckpoint (const std::basic_string< char > &path_to_checkpoint)
	Load a checkpoint state from a file on disk into checkpoint_state.
static CheckpointState	LoadCheckpointFromBuffer (const std::vector< uint8_t > &buffer)
	Load a checkpoint state from a buffer.
static void	SaveCheckpoint (const CheckpointState &checkpoint_state, const std::basic_string< char > &path_to_checkpoint, const bool include_optimizer_state=false)
	Save the given state to a checkpoint file on disk.

Additional Inherited Members
Public Types inherited from Ort::detail::Base< OrtCheckpointState >
using	contained_type = OrtCheckpointState
Protected Attributes inherited from Ort::detail::Base< OrtCheckpointState >
contained_type *	p_

Detailed Description

Holds the state of the training session.

This class holds the entire training session state that includes model parameters, their gradients, optimizer parameters, and user properties. The Ort::TrainingSession leverages the Ort::CheckpointState by accessing and updating the contained training state.

Note

Note that the training session created with a checkpoint state uses this state to store the entire training state (including model parameters, its gradients, the optimizer states and the properties). The Ort::TrainingSession does not hold a copy of the Ort::CheckpointState and as a result, it is required that the checkpoint state outlive the lifetime of the training session.

Constructor & Destructor Documentation

CheckpointState()

Ort::CheckpointState::CheckpointState ( )

delete

Member Function Documentation

AddProperty()

void Ort::CheckpointState::AddProperty	(	const std::string &	property_name,
		const Property &	property_value
	)

Adds the given property to the checkpoint state.

Runtime properties such as epoch, training step, best score, and others can be added to the checkpoint state by the user if they desire by calling this function with the appropriate property name and value. The given property name must be unique to be able to successfully add the property.

Parameters

[in]	property_name	Unique name of the property being added.
[in]	property_value	Property value associated with the given name.

GetProperty()

Property Ort::CheckpointState::GetProperty

(

const std::string &

property_name

)

Gets the property value associated with the given name from the checkpoint state.

Gets the property value from an existing entry in the checkpoint state. The property must exist in the checkpoint state to be able to retrieve it successfully.

Parameters

[in]

property_name

Unique name of the property being retrieved.

Returns

Property value associated with the given property name.

LoadCheckpoint()

static CheckpointState Ort::CheckpointState::LoadCheckpoint ( const std::basic_string< char > &  path_to_checkpoint )

static

Load a checkpoint state from a file on disk into checkpoint_state.

This function will parse a checkpoint file, pull relevant data and load the training state and return an instance of Ort::CheckpointState. This checkpoint state can then be used to create the training session by instantiating Ort::TrainingSession. By doing so, the training session will resume training from the given checkpoint state.

Parameters

[in]

path_to_checkpoint

Path to the checkpoint file

Returns

Ort::CheckpointState object which holds the state of the training session parameters.

LoadCheckpointFromBuffer()

static CheckpointState Ort::CheckpointState::LoadCheckpointFromBuffer ( const std::vector< uint8_t > &  buffer )

static

Load a checkpoint state from a buffer.

This function will parse a checkpoint buffer, pull relevant data and load the training state and return an instance of Ort::CheckpointState. This checkpoint state can then be used to create the training session by instantiating Ort::TrainingSession. By doing so, the training session will resume training from the given checkpoint state.

Parameters

[in]

buffer

Buffer containing the checkpoint data.

Returns

Ort::CheckpointState object which holds the state of the training session parameters.

SaveCheckpoint()

static void Ort::CheckpointState::SaveCheckpoint ( const CheckpointState &  checkpoint_state, const std::basic_string< char > &  path_to_checkpoint, const bool  include_optimizer_state = false  )

static

Save the given state to a checkpoint file on disk.

This function serializes the provided checkpoint state to a file on disk. This checkpoint can later be loaded by invoking Ort::CheckpointState::LoadCheckpoint to resume training from this snapshot of the state.

Parameters

[in]	checkpoint_state	The checkpoint state to save.
[in]	path_to_checkpoint	Path to the checkpoint file.
[in]	include_optimizer_state	Flag to indicate whether to save the optimizer state or not.