Index

A

Accuracy (class in torchutils.metrics)

accuracy() (torchutils.metrics.Accuracy property)

G

get_dataset_stats() (in module torchutils.datasets) get_lr() (in module torchutils.learningrate)

get_model_flops() (in module torchutils.models) get_model_param_count() (in module torchutils.models) get_model_summary() (in module torchutils.models)

H

HammingLoss (class in torchutils.metrics) history() (torchutils.metrics.Accuracy property) (torchutils.metrics.HammingLoss property) (torchutils.metrics.RunningLoss property)

L

load_checkpoint() (in module torchutils.checkpoint)

loss() (torchutils.metrics.HammingLoss property) (torchutils.metrics.RunningLoss property)

M

mean() (torchutils.datasets.RunningStat property)

N

num_data_points() (torchutils.datasets.RunningStat property)

P

plot_gradients() (in module torchutils.visualize)

R

reset() (torchutils.datasets.RunningStat method) (torchutils.metrics.Accuracy method) (torchutils.metrics.HammingLoss method) (torchutils.metrics.RunningLoss method)

RunningLoss (class in torchutils.metrics) RunningStat (class in torchutils.datasets)

S

save_checkpoint() (in module torchutils.checkpoint) set_lr() (in module torchutils.learningrate)

set_random_seed() (in module torchutils.utils) std() (torchutils.datasets.RunningStat property)

T

torchutils.checkpoint (module) torchutils.datasets (module) torchutils.learningrate (module)

torchutils.metrics (module) torchutils.models (module) torchutils.utils (module) torchutils.visualize (module)

U

update() (torchutils.datasets.RunningStat method) (torchutils.metrics.Accuracy method) (torchutils.metrics.HammingLoss method) (torchutils.metrics.RunningLoss method)

V

var() (torchutils.datasets.RunningStat property)