This is the complete list of members for lbann::KFAC, including all inherited members.

allgather_precondition_gradient(lbann_comm &comm, ExeContextType &context)	lbann::KFAC	private
apply(ExecutionContext &context, model &m, data_coordinator &dc, execution_mode mode) final	lbann::KFAC	virtual
lbann::TrainingAlgorithm::apply(model &model, data_coordinator &dc)	lbann::TrainingAlgorithm	inline
damping_0_default	lbann::KFAC	static
damping_warmup_steps_default	lbann::KFAC	static
Device	lbann::KFAC	static
do_batch_begin_cbs(model &model)	lbann::KFAC	protected
do_batch_end_cbs(model &model)	lbann::KFAC	protected
do_epoch_begin_cbs(model &model)	lbann::KFAC	protected
do_epoch_end_cbs(model &model)	lbann::KFAC	protected
do_get_new_execution_context() const final	lbann::KFAC	protectedvirtual
do_train_begin_cbs(model &model)	lbann::KFAC	protected
do_train_end_cbs(model &model)	lbann::KFAC	protected
end_old_async_weights_model(model &model, lbann_comm *comm, ExeContextType &context)	lbann::KFAC	private
end_send_recv_inverse_matrices(ExeContextType &context, lbann_comm *comm)	lbann::KFAC	protected
end_sync_weights_async(model &model, lbann_comm *comm)	lbann::KFAC	private
ExeContextType typedef	lbann::KFAC
get_name() const noexcept	lbann::TrainingAlgorithm
get_new_execution_context() const	lbann::TrainingAlgorithm	inline
get_type() const final	lbann::KFAC	virtual
KFAC(std::string name, std::unique_ptr< TermCriteriaType > stop, std::vector< double > damping_act_params, std::vector< double > damping_err_params, std::vector< double > damping_bn_act_params, std::vector< double > damping_bn_err_params, std::vector< bool > kfac_use_interval, size_t damping_warmup_steps, double kronecker_decay, bool print_time, bool print_matrix, bool print_matrix_summary, bool use_pi, std::vector< size_t > update_intervals, size_t update_interval_steps, kfac::kfac_inverse_strategy inverse_strategy, std::vector< std::string > disable_layers, double learning_rate_factor, double learning_rate_factor_gru, size_t compute_interval, bool distribute_precondition_compute, bool use_eigen_decomposition, bool enable_copy_errors, bool enable_copy_activations)	lbann::KFAC
KFAC(KFAC const &other)=delete	lbann::KFAC
KFAC(KFAC &&other)=default	lbann::KFAC
kronecker_decay_default	lbann::KFAC	static
m_compute_interval	lbann::KFAC	private
m_damping_act_params	lbann::KFAC	private
m_damping_bn_act_params	lbann::KFAC	private
m_damping_bn_err_params	lbann::KFAC	private
m_damping_err_params	lbann::KFAC	private
m_damping_warmup_steps	lbann::KFAC	private
m_disable_layers	lbann::KFAC	private
m_distribute_precondition_compute	lbann::KFAC	private
m_enable_copy_activations	lbann::KFAC	private
m_enable_copy_errors	lbann::KFAC	private
m_global_inverse_buffer_size	lbann::KFAC	private
m_has_kronecker_inverse	lbann::KFAC	private
m_inverse_matrices_size	lbann::KFAC	private
m_inverse_matrix_communication_reqs	lbann::KFAC	private
m_inverse_strategy	lbann::KFAC	private
m_kronecker_decay	lbann::KFAC	private
m_learning_rate_factor	lbann::KFAC	private
m_learning_rate_factor_gru	lbann::KFAC	private
m_print_matrix	lbann::KFAC	private
m_print_matrix_summary	lbann::KFAC	private
m_print_time	lbann::KFAC	private
m_stopping_criteria	lbann::KFAC	private
m_time_backward_pass	lbann::KFAC	private
m_time_forward_pass	lbann::KFAC	private
m_time_kfac	lbann::KFAC	private
m_time_span_backward_comm	lbann::KFAC	private
m_time_span_backward_comm_end	lbann::KFAC	private
m_time_span_forward_comm	lbann::KFAC	private
m_time_span_forward_comm_end	lbann::KFAC	private
m_time_span_inverse_comm	lbann::KFAC	private
m_time_span_inverse_send_recv	lbann::KFAC	private
m_time_span_precond_comm	lbann::KFAC	private
m_update_interval_steps	lbann::KFAC	private
m_update_intervals	lbann::KFAC	private
m_use_eigen_decomposition	lbann::KFAC	private
m_use_KFAC_epoch	lbann::KFAC	private
m_use_pi	lbann::KFAC	private
m_weight_matrices_buffer_size	lbann::KFAC	private
m_weights_communication_reqs	lbann::KFAC	private
on_backward_prop_end(ExeContextType &context, model &model)	lbann::KFAC	private
on_forward_prop_end(ExeContextType &context, model &model)	lbann::KFAC	private
operator=(const KFAC &other)=delete	lbann::KFAC
operator=(KFAC &&other)=default	lbann::KFAC
lbann::TrainingAlgorithm::operator=(const TrainingAlgorithm &other)=delete	lbann::TrainingAlgorithm	protected
lbann::TrainingAlgorithm::operator=(TrainingAlgorithm &&other)=default	lbann::TrainingAlgorithm	protected
prof_color	lbann::KFAC	static
prof_sync	lbann::KFAC	static
setup_models(std::vector< observer_ptr< model >> const &models, size_t max_mini_batch_size, const std::vector< El::Grid *> &grids)	lbann::TrainingAlgorithm
start_old_async_weights_model(model &model, lbann_comm *comm, ExeContextType &context)	lbann::KFAC	private
start_send_recv_inverse_matrices(ExeContextType &context, lbann_comm *comm)	lbann::KFAC	protected
start_sync_weights_async(model &model, lbann_comm *comm)	lbann::KFAC	private
sync_weights_model(model &model, lbann_comm *comm)	lbann::KFAC	private
TermCriteriaType typedef	lbann::KFAC
train(ExeContextType &c, model &model, data_coordinator &dc, TermCriteriaType const &term)	lbann::KFAC
train_mini_batch(ExeContextType &c, model &model, data_coordinator &dc)	lbann::KFAC	protected
TrainingAlgorithm(std::string name)	lbann::TrainingAlgorithm
TrainingAlgorithm(const TrainingAlgorithm &other)=delete	lbann::TrainingAlgorithm	protected
TrainingAlgorithm(TrainingAlgorithm &&other)=default	lbann::TrainingAlgorithm	protected
~KFAC() noexcept=default	lbann::KFAC
~TrainingAlgorithm()=default	lbann::TrainingAlgorithm	virtual