Index

A

add_child() (betty.problems.problem.Problem method) add_env() (betty.problems.problem.Problem method)

add_logger() (betty.problems.problem.Problem method) add_parent() (betty.problems.problem.Problem method) add_paths() (betty.problems.problem.Problem method)

B

backward() (betty.problems.problem.Problem method) betty.engine module betty.hypergradient.cg module betty.hypergradient.darts module betty.hypergradient.neumann module betty.hypergradient.reinforce module betty.logging.logger_base module betty.logging.logger_tensorboard module

betty.logging.logger_wandb module betty.optim module betty.optim.adam module betty.optim.adamw module betty.optim.sgd module betty.problems.implicit_problem module betty.problems.iterative_problem module betty.problems.problem module

C

cache_states() (betty.problems.problem.Problem method) cg() (in module betty.hypergradient.cg) check_leaf() (betty.engine.Engine method) check_ready() (betty.problems.problem.Problem method) children (betty.problems.problem.Problem property) clear_dependencies() (betty.problems.problem.Problem method) clip_grad() (betty.problems.problem.Problem method)

close() (betty.logging.logger_tensorboard.TensorBoardLogger method) config (betty.problems.problem.Problem property) configure_device() (betty.problems.problem.Problem method) configure_distributed_training() (betty.problems.problem.Problem method) configure_roll_back() (betty.problems.problem.Problem method) configure_systems() (betty.engine.Engine method) count (betty.problems.problem.Problem property)

D

darts() (in module betty.hypergradient.darts) debug() (betty.logging.logger_base.LoggerBase static method) DifferentiableAdam (class in betty.optim.adam)

DifferentiableAdamW (class in betty.optim.adamw) DifferentiableSGD (class in betty.optim.sgd) do_validation() (betty.engine.Engine method)

E

Engine (class in betty.engine) epoch_callback_exec() (betty.problems.problem.Problem method)

error() (betty.logging.logger_base.LoggerBase static method) eval() (betty.engine.Engine method) (betty.problems.problem.Problem method)

F

find_paths() (betty.engine.Engine method)

forward() (betty.problems.problem.Problem method)

G

get_batch() (betty.problems.problem.Problem method) get_batch_single_loader() (betty.problems.problem.Problem method) get_logger() (in module betty.logging.logger_base)

get_loss() (betty.problems.problem.Problem method) get_opt_param_group_for_param() (betty.problems.problem.Problem method) get_opt_state_for_param() (betty.problems.problem.Problem method) gradient_accumulation_boundary() (betty.problems.problem.Problem method)

I

ImplicitProblem (class in betty.problems.implicit_problem) info() (betty.logging.logger_base.LoggerBase static method) initialize() (betty.engine.Engine method) (betty.problems.problem.Problem method)

is_implemented() (betty.engine.Engine method) (betty.problems.problem.Problem method) is_rank_zero() (betty.engine.Engine method) (betty.problems.problem.Problem method) IterativeProblem (class in betty.problems.iterative_problem)

L

leaf (betty.problems.problem.Problem property) load_state_dict() (betty.problems.problem.Problem method) log() (betty.logging.logger_base.LoggerBase method) (betty.logging.logger_tensorboard.TensorBoardLogger method) (betty.logging.logger_wandb.WandBLogger method) (betty.problems.problem.Problem method)

LoggerBase (class in betty.logging.logger_base)

M

module betty.engine betty.hypergradient.cg betty.hypergradient.darts betty.hypergradient.neumann betty.hypergradient.reinforce betty.logging.logger_base betty.logging.logger_tensorboard betty.logging.logger_wandb betty.optim betty.optim.adam betty.optim.adamw betty.optim.sgd betty.problems.implicit_problem betty.problems.iterative_problem betty.problems.problem

N

name (betty.problems.problem.Problem property)

neumann() (in module betty.hypergradient.neumann)

O

one_step_descent() (betty.problems.problem.Problem method)

optimizer_step() (betty.problems.problem.Problem method)

P

parameters() (betty.problems.problem.Problem method) parents (betty.problems.problem.Problem property) parse_config() (betty.engine.Engine method) parse_dependency() (betty.engine.Engine method) patch_data_loader() (betty.problems.problem.Problem method) patch_everything() (betty.problems.problem.Problem method) patch_module() (betty.problems.problem.Problem method) patch_modules() (betty.problems.iterative_problem.IterativeProblem method)

patch_optimizer() (betty.problems.iterative_problem.IterativeProblem method) (betty.problems.problem.Problem method) (in module betty.optim) patch_scheduler() (betty.problems.iterative_problem.IterativeProblem method) (betty.problems.problem.Problem method) (in module betty.optim) paths (betty.problems.problem.Problem property) Problem (class in betty.problems.problem)

R

recover_states() (betty.problems.problem.Problem method)

reinforce() (in module betty.hypergradient.reinforce) run() (betty.engine.Engine method)

S

set_dependency() (betty.engine.Engine method) set_grads() (betty.problems.problem.Problem method) set_module() (betty.problems.problem.Problem method) set_optimizer() (betty.problems.problem.Problem method) set_problem_attr() (betty.engine.Engine method) set_scheduler() (betty.problems.problem.Problem method)

set_train_data_loader() (betty.problems.problem.Problem method) state_dict() (betty.problems.problem.Problem method) step() (betty.problems.problem.Problem method) step_after_roll_back() (betty.problems.problem.Problem method) step_normal() (betty.problems.problem.Problem method) synchronize_params() (betty.problems.problem.Problem method)

T

TensorBoardLogger (class in betty.logging.logger_tensorboard) train() (betty.engine.Engine method) (betty.problems.problem.Problem method)

train_step() (betty.engine.Engine method) trainable_parameters() (betty.problems.problem.Problem method) training_step() (betty.problems.problem.Problem method) training_step_exec() (betty.problems.problem.Problem method)

W

WandBLogger (class in betty.logging.logger_wandb)

warning() (betty.logging.logger_base.LoggerBase static method)

Z

zero_grad() (betty.problems.problem.Problem method)