Index A | B | C | D | E | F | G | I | J | L | M | O | P | R | S | T | U | W A AccumulatedTimedContext (class in tools.pytorch) aggregate() (in module aggregators.average) aggregators.average module aggregators.brute module aggregators.bulyan module aggregators.krum module aggregators.median module attack() (in module attacks.nan) attacks.identical module attacks.nan module B backprop() (experiments.model.Model method) batch_dataset() (in module experiments.dataset) build() (tools.jobs.Command method) C check() (in module aggregators.average) (in module attacks.nan) Checkpoint (class in experiments.checkpoint) ClassRegister (class in tools.misc) close() (tools.jobs.Jobs method) Command (class in tools.jobs) compute_avg_dev_max() (in module tools.pytorch) config (experiments.model.Model property) Configuration (class in experiments.configuration) conv() (in module experiments.models.simples) Criterion (class in experiments.loss) current_runtime() (tools.pytorch.AccumulatedTimedContext method) D Dataset (class in experiments.dataset) default() (experiments.model.Model method) default_device (experiments.configuration.Configuration attribute) deltatime_format() (in module tools.misc) deltatime_point() (in module tools.misc) dict_to_cmdlist() (in module tools.jobs) E epoch() (experiments.dataset.Dataset method) eval() (experiments.model.Model method) experiments.checkpoint module experiments.configuration module experiments.dataset module experiments.datasets.svm module experiments.loss module experiments.model module experiments.models.simples module experiments.optimizer module F fatal_unavailable() (in module tools.misc) flatten() (in module tools.pytorch) forward() (tools.pytorch.WeightedMSELoss method) full() (in module experiments.models.simples) fullqual() (in module tools.misc) G get() (experiments.model.Model method) get_default_root() (experiments.dataset.Dataset class method) get_default_transform() (in module experiments.dataset) get_gradient() (experiments.model.Model method) get_loaded_dependencies() (in module tools.misc) get_seeds() (tools.jobs.Jobs method) grad_of() (in module tools.pytorch) grads_of() (in module tools.pytorch) I influence() (in module aggregators.average) instantiate() (tools.misc.ClassRegister method) interactive() (in module tools.misc) itemize() (tools.misc.ClassRegister method) J Jobs (class in tools.jobs) L line_maximize() (in module tools.misc) linear() (in module experiments.models.simples) load() (experiments.checkpoint.Checkpoint method) load_state_dict() (experiments.checkpoint.Storage method) localtime() (in module tools.misc) logit() (in module experiments.models.simples) Loss (class in experiments.loss) loss() (experiments.model.Model method) M make_datasets() (in module experiments.dataset) make_sampler() (in module experiments.dataset) MethodCallReplicator (class in tools.misc) Model (class in experiments.model) module aggregators.average aggregators.brute aggregators.bulyan aggregators.krum aggregators.median attacks.identical attacks.nan experiments.checkpoint experiments.configuration experiments.dataset experiments.datasets.svm experiments.loss experiments.model experiments.models.simples experiments.optimizer tools.jobs tools.misc tools.pytorch O onetime() (in module tools.misc) Optimizer (class in experiments.optimizer) P pairwise() (in module tools.misc) parse_keyval() (in module tools.misc) phishing() (in module experiments.datasets.svm) pnm() (in module tools.pytorch) R register() (tools.misc.ClassRegister method) regression() (in module tools.pytorch) relink() (in module tools.pytorch) restore() (experiments.checkpoint.Checkpoint method) run() (experiments.model.Model method) S sample() (experiments.dataset.Dataset method) save() (experiments.checkpoint.Checkpoint method) set() (experiments.model.Model method) set_gradient() (experiments.model.Model method) set_lr() (experiments.optimizer.Optimizer method) snapshot() (experiments.checkpoint.Checkpoint method) state_dict() (experiments.checkpoint.Storage method) Storage (class in experiments.checkpoint) submit() (tools.jobs.Jobs method) T TimedContext (class in tools.misc) tools.jobs module tools.misc module tools.pytorch module U UnavailableException update() (experiments.model.Model method) W wait() (tools.jobs.Jobs method) weighted_mse_loss() (in module tools.pytorch) WeightedMSELoss (class in tools.pytorch)