train404#

Attributes#

Classes#

Functions#

setup(rank, world_size, mode)

load_dataset_and_sampler(conf, world_size, rank, is_train)

load_model_states_and_optimizer(conf, model, device)

model_and_memory_summary(conf)

main(rank, world_size, conf[, trial])

Module Contents#

train404.setup(rank, world_size, mode)#
train404.load_dataset_and_sampler(conf, world_size, rank, is_train, seed=42)#
train404.load_model_states_and_optimizer(conf, model, device)#
train404.model_and_memory_summary(conf)#
train404.main(rank, world_size, conf, trial=False)#
class train404.Objective(config, metric='val_loss', device='cpu')#

Bases: echo.src.base_objective.BaseObjective

train(trial, conf)#
train404.description = 'Train a segmengation model on a hologram data set'#