Index

_

__call__() (tfaip.trainer.scheduler.learningrate.LearningRateSchedule method) (tfaip.trainer.scheduler.schedule_weightdecay.WeightDecaySchedule method) __init__() (tfaip.data.data.DataBase method) (tfaip.data.databaseparams.DataBaseParams method) (tfaip.data.databaseparams.DataGeneratorParams method) (tfaip.data.databaseparams.DataPipelineParams method) (tfaip.evaluator.evaluator.EvaluatorBase method) (tfaip.evaluator.params.EvaluatorParams method) (tfaip.lav.callbacks.dump_results.DumpResultsCallback method) (tfaip.lav.callbacks.lav_callback.LAVCallback method) (tfaip.lav.lav.EvaluationCallback method) (tfaip.lav.lav.LAV method) (tfaip.lav.lav.MetricsAccumulator method) (tfaip.lav.multilav.MultiLAV method) (tfaip.lav.params.LAVParams method) (tfaip.model.modelbase.ModelBase method) (tfaip.model.modelbase.TFAIPKerasModel method) (tfaip.model.modelbaseparams.ModelBaseParams method) (tfaip.predict.multimodelpredictor.MultiModelPredictor method) (tfaip.predict.params.PredictorParams method) (tfaip.predict.predictorbase.PredictorBase method) (tfaip.scenario.listfile.params.ListFileTrainerPipelineParams method) (tfaip.scenario.listfile.params.ListsFileGeneratorParams method) (tfaip.scenario.scenariobase.KerasModelData method) (tfaip.scenario.scenariobase.ScenarioBase method) (tfaip.scenario.scenariobaseparams.NetConfigNodeSpec method) (tfaip.scenario.scenariobaseparams.NetConfigParamsBase method) (tfaip.scenario.scenariobaseparams.ScenarioBaseParams method) (tfaip.trainer.callbacks.benchmark_callback.BenchmarkCallback method) (tfaip.trainer.callbacks.benchmark_callback.BenchmarkResults method) (tfaip.trainer.callbacks.earlystopping.callback.EarlyStoppingCallback method) (tfaip.trainer.callbacks.earlystopping.params.EarlyStoppingParams method) (tfaip.trainer.callbacks.ema_callback.EMACallback method) (tfaip.trainer.callbacks.extract_logs.ExtractLogsCallback method) (tfaip.trainer.callbacks.lav_callback.LAVCallback method) (tfaip.trainer.callbacks.logger_callback.LoggerCallback method) (tfaip.trainer.callbacks.progbar.TFAIPProgbarLogger method) (tfaip.trainer.callbacks.tensor_board_callback.TensorBoardCallback method) (tfaip.trainer.callbacks.tensor_board_data_handler.TensorBoardDataHandler method) (tfaip.trainer.callbacks.train_params_logger.TrainerCheckpointsCallback method) (tfaip.trainer.optimizer.optimizers.AdaBeliefOptimizer method) (tfaip.trainer.optimizer.optimizers.AdamaxOptimizer method) (tfaip.trainer.optimizer.optimizers.AdamOptimizer method) (tfaip.trainer.optimizer.optimizers.LAMBOptimizer method) (tfaip.trainer.optimizer.optimizers.OptimizerParams method) (tfaip.trainer.optimizer.optimizers.RMSpropOptimizer method) (tfaip.trainer.optimizer.optimizers.SGDOptimizer method) (tfaip.trainer.optimizer.weights_moving_average.WeightsMovingAverage method) (tfaip.trainer.params.TrainerParams method) (tfaip.trainer.params.TrainerPipelineParams method) (tfaip.trainer.params.TrainerPipelineParamsBase method) (tfaip.trainer.params.TrainerPipelines method) (tfaip.trainer.scheduler.constant.ConstantSchedule method) (tfaip.trainer.scheduler.constant_params.Constant method) (tfaip.trainer.scheduler.cosine_decay_params.CosineDecayParams method) (tfaip.trainer.scheduler.cosine_decay_params.WarmupConstantCosineDecayParams method) (tfaip.trainer.scheduler.cosine_decay_params.WarmupCosineDecayParams method) (tfaip.trainer.scheduler.exponential_decay.ExponentialDecaySchedule method) (tfaip.trainer.scheduler.exponential_decay_params.ExponentialDecayParams method) (tfaip.trainer.scheduler.learningrate.LearningRateSchedule method) (tfaip.trainer.scheduler.learningrate_params.LearningRateParams method) (tfaip.trainer.scheduler.schedule_weightdecay.WeightDecaySchedule method) (tfaip.trainer.trainer.Trainer method) (tfaip.trainer.warmstart.warmstart_params.WarmStartParams method) (tfaip.trainer.warmstart.warmstarter.WarmStarter method)

A

accumulate_dict_sum() (tfaip.lav.lav.MetricsAccumulator method) AdaBeliefOptimizer (class in tfaip.trainer.optimizer.optimizers) AdamaxOptimizer (class in tfaip.trainer.optimizer.optimizers) AdamOptimizer (class in tfaip.trainer.optimizer.optimizers) add_all_losses() (tfaip.model.modelbase.ModelBase method) add_all_metrics() (tfaip.model.modelbase.ModelBase method) add_suffix (tfaip.trainer.warmstart.warmstart_params.WarmStartParams attribute) additional_evaluator_kwargs() (tfaip.scenario.scenariobase.ScenarioBase static method) additional_graph_kwargs() (tfaip.scenario.scenariobase.ScenarioBase static method) additional_model_kwargs() (tfaip.scenario.scenariobase.ScenarioBase static method)

additional_root_graph_kwargs() (tfaip.scenario.scenariobase.ScenarioBase static method) additional_serve_dir (tfaip.scenario.scenariobaseparams.ScenarioBaseParams attribute) all_custom_objects() (tfaip.model.modelbase.ModelBase class method) allow_partial (tfaip.trainer.warmstart.warmstart_params.WarmStartParams attribute) alpha (tfaip.trainer.scheduler.cosine_decay_params.CosineDecayParams attribute) amsgrad (tfaip.trainer.optimizer.optimizers.AdaBeliefOptimizer attribute) apply_weights() (tfaip.trainer.warmstart.warmstarter.WarmStarter method) auto_remove_numbers_for (tfaip.trainer.warmstart.warmstart_params.WarmStartParams attribute) avg_time_per_batch (tfaip.trainer.callbacks.benchmark_callback.BenchmarkResults attribute) avg_time_per_sample (tfaip.trainer.callbacks.benchmark_callback.BenchmarkResults attribute)

B

base_custom_objects() (tfaip.model.modelbase.ModelBase class method) batch_drop_remainder (tfaip.data.databaseparams.DataPipelineParams attribute) batch_size (tfaip.data.databaseparams.DataPipelineParams attribute) batches_per_second (tfaip.trainer.callbacks.benchmark_callback.BenchmarkResults attribute) BenchmarkCallback (class in tfaip.trainer.callbacks.benchmark_callback) BenchmarkResults (class in tfaip.trainer.callbacks.benchmark_callback) best_logging_settings() (tfaip.model.modelbase.ModelBase method) (tfaip.scenario.scenariobase.ScenarioBase method) best_model_name (tfaip.trainer.callbacks.earlystopping.params.EarlyStoppingParams attribute)

best_model_output_dir (tfaip.trainer.callbacks.earlystopping.params.EarlyStoppingParams attribute) beta_1 (tfaip.trainer.optimizer.optimizers.AdaBeliefOptimizer attribute) (tfaip.trainer.optimizer.optimizers.AdamOptimizer attribute) (tfaip.trainer.optimizer.optimizers.LAMBOptimizer attribute) beta_2 (tfaip.trainer.optimizer.optimizers.AdaBeliefOptimizer attribute) (tfaip.trainer.optimizer.optimizers.AdamOptimizer attribute) (tfaip.trainer.optimizer.optimizers.LAMBOptimizer attribute) bucket_batch_sizes (tfaip.data.databaseparams.DataPipelineParams attribute) bucket_boundaries (tfaip.data.databaseparams.DataPipelineParams attribute)

C

call() (tfaip.model.modelbase.TFAIPKerasModel method) centered (tfaip.trainer.optimizer.optimizers.RMSpropOptimizer attribute) check_preconditions_for_input_gradient_regularization() (tfaip.scenario.scenariobase.ScenarioBase method) checkpoint_save_freq (tfaip.trainer.params.TrainerParams attribute) checkpoint_sub_dir (tfaip.trainer.params.TrainerParams attribute) clip_norm (tfaip.trainer.optimizer.optimizers.OptimizerParams attribute) clip_value (tfaip.trainer.optimizer.optimizers.OptimizerParams attribute) cls() (tfaip.data.databaseparams.DataBaseParams static method) (tfaip.data.databaseparams.DataGeneratorParams static method) (tfaip.model.modelbaseparams.ModelBaseParams static method) (tfaip.scenario.listfile.params.ListsFileGeneratorParams static method) (tfaip.scenario.scenariobaseparams.ScenarioBaseParams method) (tfaip.trainer.scheduler.constant_params.Constant static method) (tfaip.trainer.scheduler.cosine_decay_params.CosineDecayParams static method) (tfaip.trainer.scheduler.cosine_decay_params.WarmupConstantCosineDecayParams static method) (tfaip.trainer.scheduler.cosine_decay_params.WarmupCosineDecayParams static method) (tfaip.trainer.scheduler.exponential_decay_params.ExponentialDecayParams static method) (tfaip.trainer.scheduler.learningrate_params.LearningRateParams static method) Constant (class in tfaip.trainer.scheduler.constant_params) constant_epochs (tfaip.trainer.scheduler.cosine_decay_params.WarmupConstantCosineDecayParams attribute) ConstantSchedule (class in tfaip.trainer.scheduler.constant) cosine_decay() (in module tfaip.trainer.scheduler.cosine_decay) CosineDecayParams (class in tfaip.trainer.scheduler.cosine_decay_params) CosineDecaySchedule (class in tfaip.trainer.scheduler.cosine_decay) create() (tfaip.data.databaseparams.DataBaseParams method) (tfaip.data.databaseparams.DataGeneratorParams method) (tfaip.model.modelbaseparams.ModelBaseParams method) (tfaip.scenario.scenariobaseparams.ScenarioBaseParams method) (tfaip.trainer.optimizer.optimizers.AdaBeliefOptimizer method) (tfaip.trainer.optimizer.optimizers.AdamaxOptimizer method) (tfaip.trainer.optimizer.optimizers.AdamOptimizer method) (tfaip.trainer.optimizer.optimizers.LAMBOptimizer method) (tfaip.trainer.optimizer.optimizers.OptimizerParams method) (tfaip.trainer.optimizer.optimizers.RMSpropOptimizer method) (tfaip.trainer.optimizer.optimizers.SGDOptimizer method) (tfaip.trainer.scheduler.learningrate_params.LearningRateParams method) (tfaip.trainer.warmstart.warmstart_params.WarmStartParams method)

create_data() (tfaip.scenario.scenariobase.ScenarioBase method) create_evaluator() (tfaip.scenario.scenariobase.ScenarioBase class method) create_gradient_accumulation_optimizer() (in module tfaip.trainer.optimizer.gradient_accumulation_optimizer) create_graph() (tfaip.model.modelbaseparams.ModelBaseParams method) create_input_layers() (tfaip.data.data.DataBase method) create_lav() (tfaip.scenario.scenariobase.ScenarioBase class method) create_meta_as_input_layers() (tfaip.data.data.DataBase method) create_model_and_graph() (tfaip.scenario.scenariobase.ScenarioBase method) create_multi_lav() (tfaip.scenario.scenariobase.ScenarioBase class method) create_multi_predictor() (tfaip.scenario.scenariobase.ScenarioBase class method) create_pipeline() (tfaip.data.data.DataBase method) create_predictor() (tfaip.scenario.scenariobase.ScenarioBase class method) create_target_as_input_layers() (tfaip.data.data.DataBase method) create_train_params_logger_callback() (tfaip.trainer.trainer.Trainer method) create_trainer() (tfaip.scenario.scenariobase.ScenarioBase class method) create_voter() (tfaip.predict.multimodelpredictor.MultiModelPredictor method) create_warmstarter() (tfaip.trainer.trainer.Trainer method) current (tfaip.trainer.callbacks.earlystopping.params.EarlyStoppingParams attribute) current_epoch (tfaip.trainer.params.TrainerParams attribute)

D

data (tfaip.predict.predictorbase.PredictorBase property) (tfaip.scenario.scenariobase.ScenarioBase attribute) (tfaip.scenario.scenariobase.ScenarioBase property) (tfaip.scenario.scenariobaseparams.ScenarioBaseParams attribute) (tfaip.trainer.trainer.Trainer property) data_cls() (tfaip.scenario.scenariobase.ScenarioBase class method) (tfaip.scenario.scenariobaseparams.ScenarioBaseParams class method) data_pipeline_cls() (tfaip.data.data.DataBase class method) DataBase (class in tfaip.data.data) DataBaseParams (class in tfaip.data.databaseparams) DataGeneratorParams (class in tfaip.data.databaseparams) DataPipelineParams (class in tfaip.data.databaseparams) datas (tfaip.predict.multimodelpredictor.MultiModelPredictor property) dataset_input_layer_specs() (tfaip.data.data.DataBase method) dataset_meta_layer_specs() (tfaip.data.data.DataBase method)

dataset_target_layer_specs() (tfaip.data.data.DataBase method) debug_graph_n_examples (tfaip.scenario.scenariobaseparams.ScenarioBaseParams attribute) decay_min_fraction (tfaip.trainer.scheduler.exponential_decay_params.ExponentialDecayParams attribute) default_params() (tfaip.data.data.DataBase class method) (tfaip.evaluator.evaluator.EvaluatorBase class method) (tfaip.scenario.scenariobase.ScenarioBase class method) default_serve_dir (tfaip.scenario.scenariobaseparams.ScenarioBaseParams attribute) default_trainer_params() (tfaip.scenario.scenariobase.ScenarioBase class method) device (tfaip.lav.params.LAVParams attribute) (tfaip.predict.params.PredictorParams attribute) (tfaip.trainer.params.TrainerParams attribute) dict_to_input_layers() (in module tfaip.data.data) dtype (tfaip.scenario.scenariobaseparams.NetConfigNodeSpec attribute) dump_resources() (tfaip.data.data.DataBase method) DumpResultsCallback (class in tfaip.lav.callbacks.dump_results)

E

early_stopping (tfaip.trainer.params.TrainerParams attribute) EarlyStoppingCallback (class in tfaip.trainer.callbacks.earlystopping.callback) EarlyStoppingParams (class in tfaip.trainer.callbacks.earlystopping.params) element_length_fn() (tfaip.data.data.DataBase method) ema_decay (tfaip.trainer.params.TrainerParams attribute) EMACallback (class in tfaip.trainer.callbacks.ema_callback) epochs (tfaip.trainer.params.TrainerParams attribute) (tfaip.trainer.scheduler.learningrate_params.LearningRateParams attribute) epsilon (tfaip.trainer.optimizer.optimizers.AdaBeliefOptimizer attribute) (tfaip.trainer.optimizer.optimizers.AdamOptimizer attribute) (tfaip.trainer.optimizer.optimizers.LAMBOptimizer attribute) (tfaip.trainer.optimizer.optimizers.RMSpropOptimizer attribute) EvaluationCallback (class in tfaip.lav.lav) evaluator (tfaip.scenario.scenariobaseparams.ScenarioBaseParams attribute) evaluator_cls() (tfaip.scenario.scenariobase.ScenarioBase class method) EvaluatorBase (class in tfaip.evaluator.evaluator) EvaluatorParams (class in tfaip.evaluator.params) exclude (tfaip.trainer.warmstart.warmstart_params.WarmStartParams attribute)

exclude_from_layer_adaptation (tfaip.trainer.optimizer.optimizers.LAMBOptimizer attribute) exclude_from_weight_decay (tfaip.trainer.optimizer.optimizers.LAMBOptimizer attribute) ExponentialDecayParams (class in tfaip.trainer.scheduler.exponential_decay_params) ExponentialDecaySchedule (class in tfaip.trainer.scheduler.exponential_decay) export() (tfaip.scenario.scenariobase.ScenarioBase method) export_best (tfaip.trainer.params.TrainerParams attribute) export_final (tfaip.trainer.params.TrainerParams attribute) export_graphs() (tfaip.model.modelbase.ModelBase method) export_net_config (tfaip.scenario.scenariobaseparams.ScenarioBaseParams attribute) export_serve (tfaip.scenario.scenariobaseparams.ScenarioBaseParams attribute) export_trainable_pb() (tfaip.trainer.trainer.Trainer method) export_training_graph_path (tfaip.trainer.params.TrainerParams attribute) extended_loss_names (tfaip.scenario.scenariobase.KerasModelData attribute) extended_metric_names (tfaip.scenario.scenariobase.KerasModelData attribute) extract() (tfaip.trainer.callbacks.extract_logs.ExtractLogsCallback method) extract_dump_data() (tfaip.lav.lav.LAV method) (tfaip.lav.multilav.MultiLAV method) ExtractLogsCallback (class in tfaip.trainer.callbacks.extract_logs)

F

final() (tfaip.lav.lav.MetricsAccumulator method) final_epochs (tfaip.trainer.scheduler.cosine_decay_params.CosineDecayParams attribute) finish_batch() (tfaip.trainer.callbacks.benchmark_callback.BenchmarkResults method) finish_epoch() (tfaip.trainer.callbacks.benchmark_callback.BenchmarkResults method) fit() (tfaip.scenario.scenariobase.ScenarioBase method) (tfaip.trainer.trainer.Trainer method) force_eager (tfaip.trainer.params.TrainerParams attribute) frequency (tfaip.trainer.callbacks.earlystopping.params.EarlyStoppingParams attribute) from_config() (tfaip.trainer.scheduler.learningrate.LearningRateSchedule class method) from_dict() (tfaip.data.databaseparams.DataBaseParams class method) (tfaip.data.databaseparams.DataGeneratorParams class method) (tfaip.data.databaseparams.DataPipelineParams class method) (tfaip.evaluator.params.EvaluatorParams class method) (tfaip.lav.params.LAVParams class method) (tfaip.model.modelbaseparams.ModelBaseParams class method) (tfaip.predict.params.PredictorParams class method) (tfaip.scenario.listfile.params.ListFileTrainerPipelineParams class method) (tfaip.scenario.listfile.params.ListsFileGeneratorParams class method) (tfaip.scenario.scenariobase.KerasModelData class method) (tfaip.scenario.scenariobase.ScenarioBase class method) (tfaip.scenario.scenariobaseparams.NetConfigParamsBase class method) (tfaip.scenario.scenariobaseparams.ScenarioBaseParams class method) (tfaip.trainer.callbacks.earlystopping.params.EarlyStoppingParams class method) (tfaip.trainer.optimizer.optimizers.AdaBeliefOptimizer class method) (tfaip.trainer.optimizer.optimizers.AdamaxOptimizer class method) (tfaip.trainer.optimizer.optimizers.AdamOptimizer class method) (tfaip.trainer.optimizer.optimizers.LAMBOptimizer class method) (tfaip.trainer.optimizer.optimizers.OptimizerParams class method) (tfaip.trainer.optimizer.optimizers.RMSpropOptimizer class method) (tfaip.trainer.optimizer.optimizers.SGDOptimizer class method) (tfaip.trainer.params.TrainerParams class method) (tfaip.trainer.params.TrainerPipelineParams class method) (tfaip.trainer.params.TrainerPipelineParamsBase class method) (tfaip.trainer.params.TrainerPipelines class method) (tfaip.trainer.scheduler.constant_params.Constant class method) (tfaip.trainer.scheduler.cosine_decay_params.CosineDecayParams class method) (tfaip.trainer.scheduler.cosine_decay_params.WarmupConstantCosineDecayParams class method) (tfaip.trainer.scheduler.cosine_decay_params.WarmupCosineDecayParams class method) (tfaip.trainer.scheduler.exponential_decay_params.ExponentialDecayParams class method) (tfaip.trainer.scheduler.learningrate_params.LearningRateParams class method) (tfaip.trainer.warmstart.warmstart_params.WarmStartParams class method)

from_json() (tfaip.data.databaseparams.DataBaseParams class method) (tfaip.data.databaseparams.DataGeneratorParams class method) (tfaip.data.databaseparams.DataPipelineParams class method) (tfaip.evaluator.params.EvaluatorParams class method) (tfaip.lav.params.LAVParams class method) (tfaip.model.modelbaseparams.ModelBaseParams class method) (tfaip.predict.params.PredictorParams class method) (tfaip.scenario.listfile.params.ListFileTrainerPipelineParams class method) (tfaip.scenario.listfile.params.ListsFileGeneratorParams class method) (tfaip.scenario.scenariobase.KerasModelData class method) (tfaip.scenario.scenariobaseparams.NetConfigParamsBase class method) (tfaip.scenario.scenariobaseparams.ScenarioBaseParams class method) (tfaip.trainer.callbacks.earlystopping.params.EarlyStoppingParams class method) (tfaip.trainer.optimizer.optimizers.AdaBeliefOptimizer class method) (tfaip.trainer.optimizer.optimizers.AdamaxOptimizer class method) (tfaip.trainer.optimizer.optimizers.AdamOptimizer class method) (tfaip.trainer.optimizer.optimizers.LAMBOptimizer class method) (tfaip.trainer.optimizer.optimizers.OptimizerParams class method) (tfaip.trainer.optimizer.optimizers.RMSpropOptimizer class method) (tfaip.trainer.optimizer.optimizers.SGDOptimizer class method) (tfaip.trainer.params.TrainerParams class method) (tfaip.trainer.params.TrainerPipelineParams class method) (tfaip.trainer.params.TrainerPipelineParamsBase class method) (tfaip.trainer.params.TrainerPipelines class method) (tfaip.trainer.scheduler.constant_params.Constant class method) (tfaip.trainer.scheduler.cosine_decay_params.CosineDecayParams class method) (tfaip.trainer.scheduler.cosine_decay_params.WarmupConstantCosineDecayParams class method) (tfaip.trainer.scheduler.cosine_decay_params.WarmupCosineDecayParams class method) (tfaip.trainer.scheduler.exponential_decay_params.ExponentialDecayParams class method) (tfaip.trainer.scheduler.learningrate_params.LearningRateParams class method) (tfaip.trainer.warmstart.warmstart_params.WarmStartParams class method) from_path() (tfaip.scenario.scenariobase.ScenarioBase class method) from_paths() (tfaip.predict.multimodelpredictor.MultiModelPredictor class method)

G

gen (tfaip.trainer.params.TrainerParams attribute) generate() (tfaip.scenario.listfile.datagenerator.ListsFileDataGenerator method) get_config() (tfaip.model.modelbase.TFAIPKerasModel method) (tfaip.trainer.scheduler.learningrate.LearningRateSchedule method) (tfaip.trainer.scheduler.schedule_weightdecay.WeightDecaySchedule method)

get_or_create_pipeline() (tfaip.data.data.DataBase method) global_clip_norm (tfaip.trainer.optimizer.optimizers.OptimizerParams attribute) graph (tfaip.scenario.scenariobase.ScenarioBase property) graph_cls() (tfaip.model.modelbaseparams.ModelBaseParams method)

H

handle() (tfaip.trainer.callbacks.tensor_board_data_handler.TensorBoardDataHandler method)

I

id (tfaip.scenario.scenariobaseparams.ScenarioBaseParams attribute) id_model (tfaip.scenario.scenariobaseparams.NetConfigParamsBase attribute) id_serve (tfaip.scenario.scenariobaseparams.NetConfigParamsBase attribute) ignore_prefix (tfaip.scenario.listfile.params.ListsFileGeneratorParams attribute) import_scenario() (in module tfaip.scenario.scenariobase) in_nodes (tfaip.scenario.scenariobaseparams.NetConfigParamsBase attribute) include (tfaip.trainer.warmstart.warmstart_params.WarmStartParams attribute)

include_meta (tfaip.predict.params.PredictorParams attribute) include_targets (tfaip.predict.params.PredictorParams attribute) InplaceCallbackList (class in tfaip.lav.lav) input_gradient_regularization_h (tfaip.scenario.scenariobaseparams.ScenarioBaseParams attribute) input_gradient_regularization_lambda (tfaip.scenario.scenariobaseparams.ScenarioBaseParams attribute) input_layer_specs() (tfaip.data.data.DataBase method) input_tensor_key_for_regularization() (tfaip.data.data.DataBase method) is_tensorboard_only() (tfaip.trainer.callbacks.tensor_board_data_handler.TensorBoardDataHandler method)

K

keras_predict_model (tfaip.scenario.scenariobase.ScenarioBase property)

keras_train_model (tfaip.scenario.scenariobase.ScenarioBase property) KerasModelData (class in tfaip.scenario.scenariobase)

L

LAMBOptimizer (class in tfaip.trainer.optimizer.optimizers) LAV (class in tfaip.lav.lav) lav_cls() (tfaip.scenario.listfile.listfilescenario.ListFileScenario class method) (tfaip.scenario.scenariobase.ScenarioBase class method) lav_data() (tfaip.trainer.params.TrainerPipelineParamsBase method) lav_every_n (tfaip.trainer.params.TrainerParams attribute) lav_gen() (tfaip.trainer.params.TrainerPipelineParamsBase method) lav_min_epoch (tfaip.trainer.params.TrainerParams attribute) lav_silent (tfaip.trainer.params.TrainerParams attribute) LAVCallback (class in tfaip.lav.callbacks.lav_callback) (class in tfaip.trainer.callbacks.lav_callback) LAVParams (class in tfaip.lav.params) learning_circle (tfaip.trainer.scheduler.exponential_decay_params.ExponentialDecayParams attribute) learning_rate (tfaip.trainer.params.TrainerParams attribute) LearningRateParams (class in tfaip.trainer.scheduler.learningrate_params) LearningRateSchedule (class in tfaip.trainer.scheduler.learningrate) limit (tfaip.data.databaseparams.DataPipelineParams attribute) list_ratios (tfaip.scenario.listfile.params.ListsFileGeneratorParams attribute)

list_scenarios_in_module() (in module tfaip.scenario.scenariobase) ListFileScenario (class in tfaip.scenario.listfile.listfilescenario) ListFileTrainerPipelineParams (class in tfaip.scenario.listfile.params) lists (tfaip.scenario.listfile.params.ListsFileGeneratorParams attribute) ListsFileDataGenerator (class in tfaip.scenario.listfile.datagenerator) ListsFileGeneratorParams (class in tfaip.scenario.listfile.params) LoggerCallback (class in tfaip.trainer.callbacks.logger_callback) longest_common_startstr() (in module tfaip.trainer.warmstart.warmstarter) loss() (tfaip.model.modelbase.ModelBase method) loss_weights() (tfaip.model.modelbase.ModelBase method) lower_threshold (tfaip.trainer.callbacks.earlystopping.params.EarlyStoppingParams attribute) lr (tfaip.trainer.scheduler.learningrate_params.LearningRateParams attribute) lr() (tfaip.trainer.scheduler.constant.ConstantSchedule method) (tfaip.trainer.scheduler.cosine_decay.CosineDecaySchedule method) (tfaip.trainer.scheduler.cosine_decay.WarmupConstantCosineDecaySchedule method) (tfaip.trainer.scheduler.cosine_decay.WarmupCosineDecaySchedule method) (tfaip.trainer.scheduler.exponential_decay.ExponentialDecaySchedule method) (tfaip.trainer.scheduler.learningrate.LearningRateSchedule method) lr_decay_rate (tfaip.trainer.scheduler.exponential_decay_params.ExponentialDecayParams attribute)

M

meta_layer_specs() (tfaip.data.data.DataBase method) metric() (tfaip.model.modelbase.ModelBase method) MetricsAccumulator (class in tfaip.lav.lav) min_lr (tfaip.trainer.optimizer.optimizers.AdaBeliefOptimizer attribute) mode (tfaip.data.databaseparams.DataPipelineParams attribute) (tfaip.trainer.callbacks.earlystopping.params.EarlyStoppingParams attribute) model (tfaip.predict.predictor.Predictor property) (tfaip.scenario.scenariobase.ScenarioBase attribute) (tfaip.scenario.scenariobase.ScenarioBase property) (tfaip.scenario.scenariobaseparams.ScenarioBaseParams attribute) (tfaip.trainer.warmstart.warmstart_params.WarmStartParams attribute) model_cls() (tfaip.scenario.scenariobase.ScenarioBase class method) (tfaip.scenario.scenariobaseparams.ScenarioBaseParams class method) model_path (tfaip.lav.params.LAVParams attribute) ModelBase (class in tfaip.model.modelbase) ModelBaseParams (class in tfaip.model.modelbaseparams) module tfaip.data.data tfaip.data.databaseparams tfaip.evaluator.evaluator tfaip.evaluator.params tfaip.lav.callbacks.dump_results tfaip.lav.callbacks.lav_callback tfaip.lav.lav tfaip.lav.multilav tfaip.lav.params tfaip.model.modelbase tfaip.model.modelbaseparams tfaip.predict.multimodelpredictor tfaip.predict.params tfaip.predict.predictor tfaip.predict.predictorbase tfaip.scenario.listfile.datagenerator tfaip.scenario.listfile.listfilescenario tfaip.scenario.listfile.params tfaip.scenario.scenariobase tfaip.scenario.scenariobaseparams tfaip.trainer.callbacks.benchmark_callback tfaip.trainer.callbacks.earlystopping.callback tfaip.trainer.callbacks.earlystopping.params tfaip.trainer.callbacks.ema_callback tfaip.trainer.callbacks.extract_logs tfaip.trainer.callbacks.lav_callback tfaip.trainer.callbacks.logger_callback tfaip.trainer.callbacks.progbar tfaip.trainer.callbacks.tensor_board_callback tfaip.trainer.callbacks.tensor_board_data_handler tfaip.trainer.callbacks.train_params_logger tfaip.trainer.optimizer.gradient_accumulation_optimizer tfaip.trainer.optimizer.optimizers tfaip.trainer.optimizer.weights_moving_average tfaip.trainer.params tfaip.trainer.scheduler.constant tfaip.trainer.scheduler.constant_params tfaip.trainer.scheduler.cosine_decay tfaip.trainer.scheduler.cosine_decay_params tfaip.trainer.scheduler.exponential_decay tfaip.trainer.scheduler.exponential_decay_params tfaip.trainer.scheduler.learningrate tfaip.trainer.scheduler.learningrate_params tfaip.trainer.scheduler.schedule_weightdecay tfaip.trainer.trainer tfaip.trainer.warmstart.warmstart_params tfaip.trainer.warmstart.warmstarter

momentum (tfaip.trainer.optimizer.optimizers.RMSpropOptimizer attribute) (tfaip.trainer.optimizer.optimizers.SGDOptimizer attribute) monitor (tfaip.trainer.callbacks.earlystopping.params.EarlyStoppingParams attribute) multi_lav_cls() (tfaip.scenario.scenariobase.ScenarioBase class method) multi_predictor_cls() (tfaip.scenario.scenariobase.ScenarioBase class method) MultiLAV (class in tfaip.lav.multilav) MultiModelPredictor (class in tfaip.predict.multimodelpredictor)

N

n (tfaip.trainer.callbacks.earlystopping.params.EarlyStoppingParams attribute) n_batches (tfaip.trainer.callbacks.benchmark_callback.BenchmarkResults attribute) n_samples (tfaip.trainer.callbacks.benchmark_callback.BenchmarkResults attribute) n_to_go (tfaip.trainer.callbacks.earlystopping.params.EarlyStoppingParams attribute) nesterov (tfaip.trainer.optimizer.optimizers.SGDOptimizer attribute) net_config() (tfaip.scenario.scenariobase.ScenarioBase method)

net_config_cls() (tfaip.scenario.scenariobase.ScenarioBase static method) net_config_filename (tfaip.scenario.scenariobaseparams.ScenarioBaseParams attribute) NetConfigNodeSpec (class in tfaip.scenario.scenariobaseparams) NetConfigParamsBase (class in tfaip.scenario.scenariobaseparams) no_train_scope (tfaip.trainer.params.TrainerParams attribute) node_serve (tfaip.scenario.scenariobaseparams.NetConfigNodeSpec attribute) num_processes (tfaip.data.databaseparams.DataPipelineParams attribute)

O

offset_epochs (tfaip.trainer.scheduler.learningrate_params.LearningRateParams attribute) on_epoch_begin() (tfaip.trainer.callbacks.benchmark_callback.BenchmarkCallback method) (tfaip.trainer.callbacks.ema_callback.EMACallback method) (tfaip.trainer.callbacks.extract_logs.ExtractLogsCallback method) (tfaip.trainer.callbacks.lav_callback.LAVCallback method) (tfaip.trainer.callbacks.logger_callback.LoggerCallback method) (tfaip.trainer.callbacks.progbar.TFAIPProgbarLogger method) (tfaip.trainer.callbacks.tensor_board_callback.TensorBoardCallback method) on_epoch_end() (tfaip.trainer.callbacks.benchmark_callback.BenchmarkCallback method) (tfaip.trainer.callbacks.earlystopping.callback.EarlyStoppingCallback method) (tfaip.trainer.callbacks.ema_callback.EMACallback method) (tfaip.trainer.callbacks.extract_logs.ExtractLogsCallback method) (tfaip.trainer.callbacks.lav_callback.LAVCallback method) (tfaip.trainer.callbacks.logger_callback.LoggerCallback method) (tfaip.trainer.callbacks.train_params_logger.TrainerCheckpointsCallback method) on_lav_end() (tfaip.lav.callbacks.dump_results.DumpResultsCallback method) (tfaip.lav.callbacks.lav_callback.LAVCallback method) on_lav_start() (tfaip.lav.callbacks.lav_callback.LAVCallback method) on_predict_batch_end() (tfaip.trainer.callbacks.extract_logs.ExtractLogsCallback method) on_sample_end() (tfaip.lav.callbacks.dump_results.DumpResultsCallback method) (tfaip.lav.callbacks.lav_callback.LAVCallback method)

on_test_batch_begin() (tfaip.trainer.callbacks.benchmark_callback.BenchmarkCallback method) on_test_batch_end() (tfaip.lav.lav.EvaluationCallback method) (tfaip.trainer.callbacks.benchmark_callback.BenchmarkCallback method) (tfaip.trainer.callbacks.extract_logs.ExtractLogsCallback method) on_test_begin() (tfaip.trainer.callbacks.benchmark_callback.BenchmarkCallback method) (tfaip.trainer.callbacks.ema_callback.EMACallback method) on_test_end() (tfaip.lav.lav.EvaluationCallback method) (tfaip.trainer.callbacks.benchmark_callback.BenchmarkCallback method) (tfaip.trainer.callbacks.ema_callback.EMACallback method) (tfaip.trainer.callbacks.extract_logs.ExtractLogsCallback method) on_train_batch_begin() (tfaip.trainer.callbacks.benchmark_callback.BenchmarkCallback method) on_train_batch_end() (tfaip.trainer.callbacks.benchmark_callback.BenchmarkCallback method) (tfaip.trainer.callbacks.extract_logs.ExtractLogsCallback method) on_train_begin() (tfaip.trainer.callbacks.benchmark_callback.BenchmarkCallback method) (tfaip.trainer.callbacks.extract_logs.ExtractLogsCallback method) on_train_end() (tfaip.trainer.callbacks.benchmark_callback.BenchmarkCallback method) optimizer (tfaip.trainer.params.TrainerParams attribute) OptimizerParams (class in tfaip.trainer.optimizer.optimizers) out_nodes (tfaip.scenario.scenariobaseparams.NetConfigParamsBase attribute) output_dir (tfaip.trainer.params.TrainerParams attribute)

P

padding_values() (tfaip.data.data.DataBase method) params (tfaip.data.data.DataBase property) (tfaip.lav.lav.LAV property) (tfaip.model.modelbase.ModelBase property) (tfaip.predict.predictorbase.PredictorBase property) (tfaip.scenario.scenariobase.ScenarioBase property) (tfaip.trainer.trainer.Trainer property) (tfaip.trainer.warmstart.warmstarter.WarmStarter property) params_cls() (tfaip.data.data.DataBase class method) (tfaip.evaluator.evaluator.EvaluatorBase class method) (tfaip.lav.lav.LAV class method) (tfaip.lav.multilav.MultiLAV class method) (tfaip.model.modelbase.ModelBase class method) (tfaip.predict.predictorbase.PredictorBase class method) (tfaip.scenario.scenariobase.ScenarioBase class method) (tfaip.trainer.trainer.Trainer class method) params_from_dict() (tfaip.scenario.scenariobase.ScenarioBase class method) params_from_path() (tfaip.scenario.scenariobase.ScenarioBase class method) parse_trainer_params() (tfaip.trainer.trainer.Trainer static method) pipeline (tfaip.lav.params.LAVParams attribute) (tfaip.predict.params.PredictorParams attribute) pipeline_by_mode() (tfaip.data.data.DataBase method) post_proc (tfaip.data.databaseparams.DataBaseParams attribute) post_proc_targets() (tfaip.model.modelbase.ModelBase method) pre_proc (tfaip.data.databaseparams.DataBaseParams attribute) pre_proc_targets() (tfaip.model.modelbase.ModelBase method)

predict() (tfaip.predict.predictorbase.PredictorBase method) predict_dataset() (tfaip.predict.predictorbase.PredictorBase method) predict_generator_params_cls() (tfaip.scenario.scenariobase.ScenarioBase class method) predict_pipeline() (tfaip.predict.multimodelpredictor.MultiModelPredictor method) (tfaip.predict.predictorbase.PredictorBase method) predict_raw() (tfaip.predict.predictorbase.PredictorBase method) Predictor (class in tfaip.predict.predictor) predictor_cls() (tfaip.scenario.scenariobase.ScenarioBase class method) PredictorBase (class in tfaip.predict.predictorbase) PredictorParams (class in tfaip.predict.params) prefetch (tfaip.data.databaseparams.DataPipelineParams attribute) preload() (tfaip.data.data.DataBase method) preload_data (tfaip.trainer.params.TrainerParams attribute) preload_data_progress_bar (tfaip.trainer.params.TrainerParams attribute) pretty_print() (tfaip.trainer.callbacks.benchmark_callback.BenchmarkResults method) print() (tfaip.trainer.callbacks.benchmark_callback.BenchmarkCallback method) print_eval_limit (tfaip.scenario.scenariobaseparams.ScenarioBaseParams attribute) print_evaluate() (tfaip.model.modelbase.ModelBase method) print_params() (tfaip.data.data.DataBase method) (tfaip.scenario.scenariobase.ScenarioBase method) print_samples (tfaip.lav.params.LAVParams attribute) profile (tfaip.trainer.params.TrainerParams attribute) profile_steps (tfaip.trainer.params.TrainerParams attribute) progbar_delta_time (tfaip.trainer.params.TrainerParams attribute) progress_bar (tfaip.predict.params.PredictorParams attribute) progress_bar_mode (tfaip.trainer.params.TrainerParams attribute)

R

random_seed (tfaip.trainer.params.TrainerParams attribute) raw() (tfaip.predict.predictorbase.PredictorBase method) read_params_dict_from_path() (tfaip.scenario.scenariobase.ScenarioBase class method) rectify (tfaip.trainer.optimizer.optimizers.AdaBeliefOptimizer attribute) rename (tfaip.trainer.warmstart.warmstart_params.WarmStartParams attribute) rename_targets (tfaip.trainer.warmstart.warmstart_params.WarmStartParams attribute) resource_base_path (tfaip.data.databaseparams.DataBaseParams attribute) restore_trainer() (tfaip.trainer.trainer.Trainer class method)

result() (tfaip.evaluator.evaluator.EvaluatorBase method) rho (tfaip.trainer.optimizer.optimizers.RMSpropOptimizer attribute) RMSpropOptimizer (class in tfaip.trainer.optimizer.optimizers) root_graph_cls() (tfaip.model.modelbase.ModelBase static method) run() (tfaip.lav.lav.LAV method) (tfaip.lav.multilav.MultiLAV method) run_eagerly (tfaip.predict.params.PredictorParams attribute) running_sum (tfaip.lav.lav.MetricsAccumulator attribute) running_weight (tfaip.lav.lav.MetricsAccumulator attribute)

S

sample_weights() (tfaip.model.modelbase.ModelBase method) samples_per_epoch (tfaip.trainer.params.TrainerParams attribute) samples_per_second (tfaip.trainer.callbacks.benchmark_callback.BenchmarkResults attribute) saved_checkpoint_sub_dir (tfaip.trainer.params.TrainerParams attribute) scale_epoch_size (tfaip.trainer.params.TrainerParams attribute) scenario (tfaip.trainer.params.TrainerParams attribute) (tfaip.trainer.trainer.Trainer property) scenario_base_path (tfaip.scenario.scenariobaseparams.ScenarioBaseParams attribute) scenario_id (tfaip.scenario.scenariobaseparams.ScenarioBaseParams attribute) scenario_params_filename (tfaip.scenario.scenariobaseparams.ScenarioBaseParams attribute) ScenarioBase (class in tfaip.scenario.scenariobase) ScenarioBaseMeta (class in tfaip.scenario.scenariobase) ScenarioBaseParams (class in tfaip.scenario.scenariobaseparams) ScenarioBaseParamsMeta (class in tfaip.scenario.scenariobaseparams) schema() (tfaip.data.databaseparams.DataBaseParams class method) (tfaip.data.databaseparams.DataGeneratorParams class method) (tfaip.data.databaseparams.DataPipelineParams class method) (tfaip.evaluator.params.EvaluatorParams class method) (tfaip.lav.params.LAVParams class method) (tfaip.model.modelbaseparams.ModelBaseParams class method) (tfaip.predict.params.PredictorParams class method) (tfaip.scenario.listfile.params.ListFileTrainerPipelineParams class method) (tfaip.scenario.listfile.params.ListsFileGeneratorParams class method) (tfaip.scenario.scenariobase.KerasModelData class method) (tfaip.scenario.scenariobaseparams.NetConfigParamsBase class method) (tfaip.scenario.scenariobaseparams.ScenarioBaseParams class method) (tfaip.trainer.callbacks.earlystopping.params.EarlyStoppingParams class method) (tfaip.trainer.optimizer.optimizers.AdaBeliefOptimizer class method) (tfaip.trainer.optimizer.optimizers.AdamaxOptimizer class method) (tfaip.trainer.optimizer.optimizers.AdamOptimizer class method) (tfaip.trainer.optimizer.optimizers.LAMBOptimizer class method) (tfaip.trainer.optimizer.optimizers.OptimizerParams class method) (tfaip.trainer.optimizer.optimizers.RMSpropOptimizer class method) (tfaip.trainer.optimizer.optimizers.SGDOptimizer class method) (tfaip.trainer.params.TrainerParams class method) (tfaip.trainer.params.TrainerPipelineParams class method) (tfaip.trainer.params.TrainerPipelineParamsBase class method) (tfaip.trainer.params.TrainerPipelines class method) (tfaip.trainer.scheduler.constant_params.Constant class method) (tfaip.trainer.scheduler.cosine_decay_params.CosineDecayParams class method) (tfaip.trainer.scheduler.cosine_decay_params.WarmupConstantCosineDecayParams class method) (tfaip.trainer.scheduler.cosine_decay_params.WarmupCosineDecayParams class method) (tfaip.trainer.scheduler.exponential_decay_params.ExponentialDecayParams class method) (tfaip.trainer.scheduler.learningrate_params.LearningRateParams class method) (tfaip.trainer.warmstart.warmstart_params.WarmStartParams class method)

set_model() (tfaip.predict.predictor.Predictor method) (tfaip.trainer.callbacks.extract_logs.ExtractLogsCallback method) set_models() (tfaip.predict.multimodelpredictor.MultiModelPredictor method) setup (tfaip.trainer.params.TrainerPipelineParamsBase attribute) setup() (tfaip.lav.callbacks.lav_callback.LAVCallback method) setup_callbacks() (tfaip.trainer.trainer.Trainer method) setup_data() (tfaip.trainer.trainer.Trainer method) setup_model() (tfaip.trainer.trainer.Trainer method) setup_steps_per_epoch() (tfaip.trainer.trainer.Trainer method) setup_training() (tfaip.scenario.scenariobase.ScenarioBase method) setup_training_graph() (tfaip.scenario.scenariobase.ScenarioBase method) SGDOptimizer (class in tfaip.trainer.optimizer.optimizers) shape (tfaip.scenario.scenariobaseparams.NetConfigNodeSpec attribute) shuffle_buffer_size (tfaip.data.databaseparams.DataPipelineParams attribute) silent (tfaip.lav.params.LAVParams attribute) (tfaip.predict.params.PredictorParams attribute) skip_model_load_test (tfaip.trainer.params.TrainerParams attribute) sma_threshold (tfaip.trainer.optimizer.optimizers.AdaBeliefOptimizer attribute) static_data_kwargs() (tfaip.scenario.scenariobase.ScenarioBase static method) static_lav_kwargs() (tfaip.scenario.scenariobase.ScenarioBase static method) static_predictor_kwargs() (tfaip.scenario.scenariobase.ScenarioBase static method) step_function (tfaip.trainer.scheduler.learningrate_params.LearningRateParams attribute) steps_per_epoch (tfaip.trainer.scheduler.learningrate_params.LearningRateParams attribute) store_results (tfaip.lav.params.LAVParams attribute)

T

target_layer_specs() (tfaip.data.data.DataBase method) tensorboard_logger_history_size (tfaip.scenario.scenariobaseparams.ScenarioBaseParams attribute) tensorboard_output_names (tfaip.scenario.scenariobase.KerasModelData attribute) TensorBoardCallback (class in tfaip.trainer.callbacks.tensor_board_callback) TensorBoardDataHandler (class in tfaip.trainer.callbacks.tensor_board_data_handler) tf_cpp_min_log_level (tfaip.trainer.params.TrainerParams attribute) tf_version (tfaip.scenario.scenariobaseparams.NetConfigParamsBase attribute) tfaip.data.data module tfaip.data.databaseparams module tfaip.evaluator.evaluator module tfaip.evaluator.params module tfaip.lav.callbacks.dump_results module tfaip.lav.callbacks.lav_callback module tfaip.lav.lav module tfaip.lav.multilav module tfaip.lav.params module tfaip.model.modelbase module tfaip.model.modelbaseparams module tfaip.predict.multimodelpredictor module tfaip.predict.params module tfaip.predict.predictor module tfaip.predict.predictorbase module tfaip.scenario.listfile.datagenerator module tfaip.scenario.listfile.listfilescenario module tfaip.scenario.listfile.params module tfaip.scenario.scenariobase module tfaip.scenario.scenariobaseparams module tfaip.trainer.callbacks.benchmark_callback module tfaip.trainer.callbacks.earlystopping.callback module tfaip.trainer.callbacks.earlystopping.params module tfaip.trainer.callbacks.ema_callback module tfaip.trainer.callbacks.extract_logs module tfaip.trainer.callbacks.lav_callback module tfaip.trainer.callbacks.logger_callback module tfaip.trainer.callbacks.progbar module tfaip.trainer.callbacks.tensor_board_callback module tfaip.trainer.callbacks.tensor_board_data_handler module tfaip.trainer.callbacks.train_params_logger module tfaip.trainer.optimizer.gradient_accumulation_optimizer module tfaip.trainer.optimizer.optimizers module tfaip.trainer.optimizer.weights_moving_average module tfaip.trainer.params module tfaip.trainer.scheduler.constant module tfaip.trainer.scheduler.constant_params module tfaip.trainer.scheduler.cosine_decay module tfaip.trainer.scheduler.cosine_decay_params module tfaip.trainer.scheduler.exponential_decay module tfaip.trainer.scheduler.exponential_decay_params module tfaip.trainer.scheduler.learningrate module tfaip.trainer.scheduler.learningrate_params module tfaip.trainer.scheduler.schedule_weightdecay module tfaip.trainer.trainer module tfaip.trainer.warmstart.warmstart_params module

tfaip.trainer.warmstart.warmstarter module tfaip_commit_hash (tfaip.scenario.scenariobaseparams.NetConfigParamsBase attribute) (tfaip.scenario.scenariobaseparams.ScenarioBaseParams attribute) tfaip_version (tfaip.scenario.scenariobaseparams.NetConfigParamsBase attribute) (tfaip.scenario.scenariobaseparams.ScenarioBaseParams attribute) TFAIPKerasModel (class in tfaip.model.modelbase) TFAIPProgbarLogger (class in tfaip.trainer.callbacks.progbar) throw_data_not_set_error() (in module tfaip.scenario.scenariobaseparams) throw_model_not_set_error() (in module tfaip.scenario.scenariobaseparams) to_avg() (tfaip.trainer.optimizer.weights_moving_average.WeightsMovingAverage method) to_dict() (tfaip.data.databaseparams.DataBaseParams method) (tfaip.data.databaseparams.DataGeneratorParams method) (tfaip.data.databaseparams.DataPipelineParams method) (tfaip.evaluator.params.EvaluatorParams method) (tfaip.lav.params.LAVParams method) (tfaip.model.modelbaseparams.ModelBaseParams method) (tfaip.predict.params.PredictorParams method) (tfaip.scenario.listfile.params.ListFileTrainerPipelineParams method) (tfaip.scenario.listfile.params.ListsFileGeneratorParams method) (tfaip.scenario.scenariobase.KerasModelData method) (tfaip.scenario.scenariobaseparams.NetConfigParamsBase method) (tfaip.scenario.scenariobaseparams.ScenarioBaseParams method) (tfaip.trainer.callbacks.earlystopping.params.EarlyStoppingParams method) (tfaip.trainer.optimizer.optimizers.AdaBeliefOptimizer method) (tfaip.trainer.optimizer.optimizers.AdamaxOptimizer method) (tfaip.trainer.optimizer.optimizers.AdamOptimizer method) (tfaip.trainer.optimizer.optimizers.LAMBOptimizer method) (tfaip.trainer.optimizer.optimizers.OptimizerParams method) (tfaip.trainer.optimizer.optimizers.RMSpropOptimizer method) (tfaip.trainer.optimizer.optimizers.SGDOptimizer method) (tfaip.trainer.params.TrainerParams method) (tfaip.trainer.params.TrainerPipelineParams method) (tfaip.trainer.params.TrainerPipelineParamsBase method) (tfaip.trainer.params.TrainerPipelines method) (tfaip.trainer.scheduler.constant_params.Constant method) (tfaip.trainer.scheduler.cosine_decay_params.CosineDecayParams method) (tfaip.trainer.scheduler.cosine_decay_params.WarmupConstantCosineDecayParams method) (tfaip.trainer.scheduler.cosine_decay_params.WarmupCosineDecayParams method) (tfaip.trainer.scheduler.exponential_decay_params.ExponentialDecayParams method) (tfaip.trainer.scheduler.learningrate_params.LearningRateParams method) (tfaip.trainer.warmstart.warmstart_params.WarmStartParams method) to_json() (tfaip.data.databaseparams.DataBaseParams method) (tfaip.data.databaseparams.DataGeneratorParams method) (tfaip.data.databaseparams.DataPipelineParams method) (tfaip.evaluator.params.EvaluatorParams method) (tfaip.lav.params.LAVParams method) (tfaip.model.modelbaseparams.ModelBaseParams method) (tfaip.predict.params.PredictorParams method) (tfaip.scenario.listfile.params.ListFileTrainerPipelineParams method) (tfaip.scenario.listfile.params.ListsFileGeneratorParams method) (tfaip.scenario.scenariobase.KerasModelData method) (tfaip.scenario.scenariobaseparams.NetConfigParamsBase method) (tfaip.scenario.scenariobaseparams.ScenarioBaseParams method) (tfaip.trainer.callbacks.earlystopping.params.EarlyStoppingParams method) (tfaip.trainer.optimizer.optimizers.AdaBeliefOptimizer method) (tfaip.trainer.optimizer.optimizers.AdamaxOptimizer method) (tfaip.trainer.optimizer.optimizers.AdamOptimizer method) (tfaip.trainer.optimizer.optimizers.LAMBOptimizer method) (tfaip.trainer.optimizer.optimizers.OptimizerParams method) (tfaip.trainer.optimizer.optimizers.RMSpropOptimizer method) (tfaip.trainer.optimizer.optimizers.SGDOptimizer method) (tfaip.trainer.params.TrainerParams method) (tfaip.trainer.params.TrainerPipelineParams method) (tfaip.trainer.params.TrainerPipelineParamsBase method) (tfaip.trainer.params.TrainerPipelines method) (tfaip.trainer.scheduler.constant_params.Constant method) (tfaip.trainer.scheduler.cosine_decay_params.CosineDecayParams method) (tfaip.trainer.scheduler.cosine_decay_params.WarmupConstantCosineDecayParams method) (tfaip.trainer.scheduler.cosine_decay_params.WarmupCosineDecayParams method) (tfaip.trainer.scheduler.exponential_decay_params.ExponentialDecayParams method) (tfaip.trainer.scheduler.learningrate_params.LearningRateParams method) (tfaip.trainer.warmstart.warmstart_params.WarmStartParams method) to_model() (tfaip.trainer.optimizer.weights_moving_average.WeightsMovingAverage method) to_placeholder() (in module tfaip.trainer.trainer) total_steps (tfaip.trainer.optimizer.optimizers.AdaBeliefOptimizer attribute) total_time (tfaip.trainer.callbacks.benchmark_callback.BenchmarkResults attribute) train (tfaip.scenario.listfile.params.ListFileTrainerPipelineParams attribute) (tfaip.trainer.params.TrainerPipelineParams attribute) (tfaip.trainer.params.TrainerPipelines attribute) train() (tfaip.trainer.trainer.Trainer method) train_accum_steps (tfaip.trainer.params.TrainerParams attribute) train_cls() (tfaip.trainer.params.TrainerPipelineParamsBase class method) train_data() (tfaip.trainer.params.TrainerPipelineParamsBase method) train_gen() (tfaip.trainer.params.TrainerPipelineParams method) (tfaip.trainer.params.TrainerPipelineParamsBase method) Trainer (class in tfaip.trainer.trainer) trainer_cls() (tfaip.scenario.scenariobase.ScenarioBase class method) trainer_params_filename (tfaip.scenario.scenariobaseparams.ScenarioBaseParams attribute) trainer_pipeline_params_cls() (tfaip.scenario.scenariobase.ScenarioBase class method) TrainerCheckpointsCallback (class in tfaip.trainer.callbacks.train_params_logger) TrainerParams (class in tfaip.trainer.params) TrainerParamsMeta (class in tfaip.trainer.params) TrainerPipelineParams (class in tfaip.trainer.params) TrainerPipelineParamsBase (class in tfaip.trainer.params) TrainerPipelineParamsBaseMeta (class in tfaip.trainer.params) TrainerPipelineParamsMeta (class in tfaip.trainer.params) TrainerPipelines (class in tfaip.trainer.params) trim_graph_name (tfaip.trainer.warmstart.warmstart_params.WarmStartParams attribute)

U

update_state() (tfaip.evaluator.evaluator.EvaluatorBase method) upper_threshold (tfaip.trainer.callbacks.earlystopping.params.EarlyStoppingParams attribute)

use_input_gradient_regularization (tfaip.scenario.scenariobaseparams.ScenarioBaseParams attribute) use_shared_memory (tfaip.data.databaseparams.DataPipelineParams attribute)

V

val (tfaip.scenario.listfile.params.ListFileTrainerPipelineParams attribute) (tfaip.trainer.params.TrainerPipelineParams attribute) (tfaip.trainer.params.TrainerPipelines attribute) val_cls() (tfaip.trainer.params.TrainerPipelineParamsBase class method)

val_data() (tfaip.trainer.params.TrainerPipelineParamsBase method) val_every_n (tfaip.trainer.params.TrainerParams attribute) val_gen() (tfaip.trainer.params.TrainerPipelineParams method) (tfaip.trainer.params.TrainerPipelineParamsBase method) validate_specs() (in module tfaip.data.data)

W

warmstart (tfaip.trainer.params.TrainerParams attribute) warmstart() (tfaip.trainer.warmstart.warmstarter.WarmStarter method) WarmStarter (class in tfaip.trainer.warmstart.warmstarter) WarmStartParams (class in tfaip.trainer.warmstart.warmstart_params) warmup_constant_cosine_decay() (in module tfaip.trainer.scheduler.cosine_decay) warmup_cosine_decay() (in module tfaip.trainer.scheduler.cosine_decay) warmup_epochs (tfaip.trainer.scheduler.cosine_decay_params.WarmupCosineDecayParams attribute) warmup_factor (tfaip.trainer.scheduler.cosine_decay_params.WarmupCosineDecayParams attribute) warmup_proportion (tfaip.trainer.optimizer.optimizers.AdaBeliefOptimizer attribute) WarmupConstantCosineDecayParams (class in tfaip.trainer.scheduler.cosine_decay_params) WarmupConstantCosineDecaySchedule (class in tfaip.trainer.scheduler.cosine_decay)

WarmupCosineDecayParams (class in tfaip.trainer.scheduler.cosine_decay_params) WarmupCosineDecaySchedule (class in tfaip.trainer.scheduler.cosine_decay) weight_decay (tfaip.trainer.optimizer.optimizers.AdaBeliefOptimizer attribute) (tfaip.trainer.optimizer.optimizers.AdamOptimizer attribute) (tfaip.trainer.optimizer.optimizers.LAMBOptimizer attribute) (tfaip.trainer.optimizer.optimizers.SGDOptimizer attribute) WeightDecaySchedule (class in tfaip.trainer.scheduler.schedule_weightdecay) WeightsMovingAverage (class in tfaip.trainer.optimizer.weights_moving_average) wrap_model_with_loss_and_metric() (tfaip.model.modelbase.ModelBase method) write_checkpoints (tfaip.trainer.params.TrainerParams attribute) write_scalar_summaries() (in module tfaip.trainer.trainer)