Olympus
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Getting Started
First Steps
Observers and Aspects
What not to do
Observers
Aspect
Examples
Minimalist Example
Simple Hyper Parameter Search
Parallel Hyper Parameter Search
Simple Dashboard
Dynamic Dashboard
Contributing
Contributing to Olympus
Adding new Basic Blocks
Models
Model Optimizer
Weight Initialization
Schedule
Tasks
Baselines
Datasets
Dataset Sampling
Metrics
Observers
Hyper-parameter Optimizer
Specifying hyper-parameters
Examples
Custom Model
Custom Model with NAS
Custom Optimizer
Custom Schedule
Custom Observer
API
Accumulators
olympus.accumulators.smoothing module
Dashboard
Plots
Exploration
Importance
Training Curves
Work Distribution
Work Status
Saliency Map
Layer Inspection
Baselines
Classification
Launcher
Parallelization
Monitoring
Module contents
Datasets
Archive
CIFAR 10
CIFAR 100
All Dataset
Extended MNIST
FakeDataset
Fashion MNIST
Gaussian
ImageNet
MNIST
Pennfudan
SVHN
Tensor HDF5
Tiny ImageNet
Transformed Dataset
Distributed
Multi GPU
Module contents
Hyper parameter Optimization
Registered HPO
Hyperband
Random Search
Module contents
Metrics
Available Metrics
Reinforcement Learning
Accuracy
Adversary
Module contents
Models
Registered Models
Efficientnet
LeNet
Logistic Regression
MultiLayer Perceptron
Mobilenetv2
PreActResnet
Resnet
VGG
Initializations
Registered Initializations
Module contents
Module contents
Observers
Available Observers
Progress
Observer Interface
Observer List
Optimizers
Adam
AMSGrad
Base
SGD
Module contents
Reinforcement Learning
Reinforcement Loader
Parallel Environments
Gym Environment
Procedurally Generated Environment
Replay Vector
Module contents
Samplers
Group
Schedules
Cyclic
Exponential
Module contents
Split Methods
Balanced Classes
Boostrap
Constrained Bootstrap
CrossValid
Original
Resample
Split
SubSample
Tasks
Classification
Object Detection
olympus.tasks.gan module
olympus.tasks.segmentation module
olympus.tasks.task module
Reinforcement
Actor Critic
Proximal Policy Optimization
Utilities
dtypes
Factory
Mixed Precision
Network
Options
Signals
Statistics
Storage
Subpackages
GPU
Submodules
Module contents
Module contents
Olympus
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W
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Z
A
A2C (class in olympus.tasks.reinforcement.a2c)
accumulator (olympus.metrics.accuracy.OnlineTrainAccuracy attribute)
(olympus.metrics.adversary.ClassifierAdversary attribute)
Accuracy (class in olympus.metrics.accuracy)
accuracy() (olympus.tasks.classification.Classification method)
(olympus.tasks.gan.GAN method)
act() (olympus.models.Model method)
action (olympus.reinforcement.replay.Transition attribute)
action_space (olympus.reinforcement.Environment attribute)
(olympus.reinforcement.gymenv.GymEnvironment attribute)
(olympus.reinforcement.procgenenv.ProcgenEnvironment attribute)
actions() (olympus.reinforcement.replay.ReplayVector method)
activation_backward() (olympus.dashboard.plots.saliency.GuidedBackprop method)
activation_forward() (olympus.dashboard.plots.saliency.GuidedBackprop method)
Adam (class in olympus.optimizers.adam)
add_arguments() (olympus.utils.LazyCall method)
add_param_group() (olympus.optimizers.base.OptimizerAdapter method)
(olympus.optimizers.base.OptimizerInterface method)
add_parameters() (olympus.utils.HyperParameters method)
advantage_actor_critic() (olympus.tasks.reinforcement.a2c.A2C method)
adversarial() (olympus.metrics.adversary.ClassifierAdversary method)
aggregate_overview_altair() (in module olympus.dashboard.plots.work_status)
all_hdf5_exists() (in module olympus.datasets.tinyimagenet)
AllDataset (class in olympus.datasets.dataset)
AMD (olympus.utils.gpu.DeviceVendor attribute)
AmdGpuMonitor (class in olympus.utils.gpu.amd)
AMSGrad (class in olympus.optimizers.amsgrad)
append() (olympus.observers.ObserverList method)
(olympus.reinforcement.replay.ReplayVector method)
arguments() (in module olympus.baselines.classification)
(in module olympus.baselines.launch)
(in module olympus.distributed.multigpu)
atexit() (olympus.utils.signals.SignalHandler method)
AUC (class in olympus.metrics.accuracy)
avg (olympus.utils.stat.StatStream attribute)
B
backward() (olympus.optimizers.base.OptimizerAdapter method)
(olympus.optimizers.Optimizer method)
(olympus.optimizers.base.OptimizerInterface method)
balanced_random_indices() (in module olympus.datasets.split.balanced_classes)
BalancedEMNIST (class in olympus.datasets.emnist)
BaseStorage (class in olympus.utils.storage)
BasicBlock (class in olympus.models.resnet)
batch_size (olympus.observers.progress.Speed attribute)
Block (class in olympus.models.mobilenetv2)
bootstrap_random_indices() (in module olympus.datasets.split.bootstrap)
Bottleneck (class in olympus.models.resnet)
Bound1D (class in olympus.utils.dtypes)
broadcast_event() (olympus.observers.ObserverList method)
budget (olympus.hpo.hyperband.Hyperband attribute)
build() (in module olympus.models.lenet)
(in module olympus.models.mobilenetv2)
(in module olympus.models.preactresnet)
(in module olympus.models.resnet)
build_dataset() (in module olympus.datasets.tinyimagenet)
build_vgg11() (in module olympus.models.vgg)
build_vgg13() (in module olympus.models.vgg)
build_vgg16() (in module olympus.models.vgg)
build_vgg19() (in module olympus.models.vgg)
C
categories() (olympus.datasets.cifar10.CIFAR10 static method)
(olympus.datasets.cifar100.CIFAR100 static method)
(olympus.datasets.dataset.AllDataset static method)
(olympus.datasets.emnist.BalancedEMNIST static method)
(olympus.datasets.fashionmnist.FashionMNIST static method)
(olympus.datasets.imagenet.ImagetNet static method)
(olympus.datasets.mnist.MNIST static method)
(olympus.datasets.pennfudan.PennFudanDataset static method)
(olympus.datasets.svhn.SVHN static method)
(olympus.datasets.tinyimagenet.TinyImageNet static method)
(olympus.reinforcement.Environment method)
(olympus.reinforcement.gymenv.GymEnvironment static method)
(olympus.reinforcement.procgenenv.ProcgenEnvironment static method)
check() (in module olympus.hpo)
CIFAR10 (class in olympus.datasets.cifar10)
CIFAR100 (class in olympus.datasets.cifar100)
CircularDependencies
classes (olympus.datasets.archive.ZipDataset attribute)
(olympus.datasets.dataset.AllDataset attribute)
classes_to_idx (olympus.datasets.archive.ZipDataset attribute)
Classification (class in olympus.tasks.classification)
classification_baseline() (in module olympus.baselines.classification)
ClassifierAdversary (class in olympus.metrics.adversary)
clean() (in module olympus.datasets.tinyimagenet)
cleanup() (in module olympus.baselines.launch)
close (olympus.reinforcement.parallel.WorkerStat attribute)
close() (olympus.reinforcement.dataloader.ReplayVectorIterator method)
(olympus.reinforcement.Environment method)
(olympus.reinforcement.dataloader.RLDataLoader method)
(olympus.reinforcement.dataloader.RLTorchIterator method)
(olympus.reinforcement.gymenv.GymEnvironment method)
(olympus.reinforcement.parallel.ParallelEnvironment method)
(olympus.reinforcement.procgenenv.ProcgenEnvironment method)
CocoDetection (class in olympus.datasets.pennfudan)
collate_fn (olympus.datasets.dataset.AllDataset attribute)
collate_fn() (olympus.datasets.pennfudan.PennFudanDataset method)
completed_simulations (olympus.reinforcement.dataloader.ReplayVectorIterator attribute)
Compose (class in olympus.datasets.transformed)
compress_dict() (in module olympus.utils)
compute_accuracy() (olympus.metrics.accuracy.Accuracy method)
compute_auc() (olympus.metrics.accuracy.AUC method)
compute_budgets() (olympus.hpo.hyperband.Hyperband static method)
compute_returns() (olympus.tasks.reinforcement.a2c.A2C method)
(olympus.tasks.reinforcement.ppo.PPO method)
compute_reward() (olympus.metrics.rl.ReinforcementTest method)
compute_rewards() (olympus.metrics.rl.ReinforcementTest method)
(olympus.metrics.rl.Validation method)
confusion_matrix() (olympus.tasks.segmentation.Segmentation method)
constrained_bootstrap_random_indices() (in module olympus.datasets.split.constrained_bootstrap)
conv3x3() (in module olympus.models.resnet)
copyfile() (olympus.utils.storage.BaseStorage method)
(olympus.utils.storage.FileStateStorage method)
count (olympus.metrics.accuracy.OnlineTrainAccuracy attribute)
(olympus.metrics.adversary.ClassifierAdversary attribute)
(olympus.utils.stat.StatStream attribute)
count_done() (olympus.hpo.random_search.RandomSearch method)
create_hdf5() (in module olympus.datasets.tinyimagenet)
create_hdf5_file() (in module olympus.datasets.tinyimagenet)
create_hdf5_train() (in module olympus.datasets.tinyimagenet)
create_hdf5_val() (in module olympus.datasets.tinyimagenet)
create_train_loader() (in module olympus.datasets.tinyimagenet)
create_val_loader() (in module olympus.datasets.tinyimagenet)
criterion (olympus.tasks.gan.GAN attribute)
critic (olympus.reinforcement.replay.Transition attribute)
critic() (olympus.models.Model method)
critic_values() (olympus.reinforcement.replay.ReplayVector method)
crossvalid_random_indices() (in module olympus.datasets.split.crossvalid)
ctor_call() (olympus.hpo.HPOptimizer method)
current_count (olympus.utils.stat.StatStream attribute)
(olympus.utils.stat.StatStreamStruct attribute)
current_obs (olympus.utils.stat.StatStream attribute)
(olympus.utils.stat.StatStreamStruct attribute)
CyclicLR (class in olympus.optimizers.schedules.cyclic)
D
data (olympus.datasets.tensorhdf5.HDF5Dataset attribute)
data_parallel() (in module olympus.distributed.multigpu)
dataset (olympus.datasets.dataset.AllDataset attribute)
decode_rng_state() (in module olympus.utils)
decompress_dict() (in module olympus.utils)
default_transform() (in module olympus.datasets.fake)
(in module olympus.datasets.imagenet)
DefaultProgress (class in olympus.observers.progress)
defaults (olympus.optimizers.Optimizer attribute)
(olympus.optimizers.schedules.LRSchedule attribute)
defaults() (olympus.models.inits.glorot.GlorotNormal static method)
(olympus.models.inits.glorot.GlorotUniform static method)
(olympus.models.inits.kaiming.KaimingNormal static method)
(olympus.models.inits.kaiming.KaimingUniform static method)
(olympus.optimizers.adam.Adam static method)
(olympus.optimizers.amsgrad.AMSGrad static method)
(olympus.optimizers.base.OptimizerAdapter static method)
(olympus.optimizers.base.OptimizerInterface static method)
(olympus.optimizers.schedules.cyclic.CyclicLR static method)
(olympus.optimizers.schedules.exponential.ExponentialLR static method)
(olympus.optimizers.sgd.SGD static method)
delayed_geffnet() (in module olympus.models.efficientnet)
describe() (olympus.reinforcement.replay.ReplayVector method)
detach() (in module olympus.metrics.accuracy)
device (olympus.models.Model attribute)
(olympus.tasks.task.Task attribute)
DeviceVendor (class in olympus.utils.gpu)
DictionaryShape (class in olympus.utils.dtypes)
discriminate() (olympus.tasks.gan.GAN method)
discriminate_probabilities() (olympus.tasks.gan.GAN method)
dispatch (olympus.tasks.task.GenerateSummary attribute)
distortion (olympus.metrics.adversary.ClassifierAdversary attribute)
distribute() (in module olympus.models.vgg)
done (olympus.reinforcement.parallel.WorkerStat attribute)
download() (in module olympus.datasets.tinyimagenet)
drop_obs (olympus.utils.stat.StatStream attribute)
(olympus.utils.stat.StatStreamStruct attribute)
dtype (olympus.models.Model attribute)
duplicates (olympus.reinforcement.parallel.WorkerStat attribute)
E
elapsed_time (olympus.observers.progress.ElapsedRealTime attribute)
ElapsedRealTime (class in olympus.observers.progress)
enable_distributed_process() (in module olympus.distributed.multigpu)
encode_rng_state() (in module olympus.utils)
end_batch() (olympus.observers.ObserverList method)
end_epoch() (olympus.observers.ObserverList method)
end_train() (olympus.observers.ObserverList method)
entropies() (olympus.reinforcement.replay.ReplayVector method)
entropy (olympus.reinforcement.replay.Transition attribute)
Environment (class in olympus.reinforcement)
epoch (olympus.observers.progress.Speed attribute)
epoch() (olympus.optimizers.schedules.cyclic.CyclicLR method)
(olympus.optimizers.schedules.LRSchedule method)
(olympus.optimizers.schedules.exponential.ExponentialLR method)
(olympus.tasks.classification.Classification method)
(olympus.tasks.detection.ObjectDetection method)
(olympus.tasks.segmentation.Segmentation method)
EpochProgress (class in olympus.observers.progress)
epsilon (olympus.metrics.adversary.ClassifierAdversary attribute)
epsilon_act() (olympus.metrics.rl.ReinforcementTest method)
eval_loss() (olympus.tasks.classification.Classification method)
(olympus.tasks.detection.ObjectDetection method)
(olympus.tasks.segmentation.Segmentation method)
(olympus.tasks.task.Task method)
events (olympus.tasks.task.Task attribute)
every() (olympus.observers.observer.Observer method)
exits() (olympus.utils.storage.BaseStorage method)
(olympus.utils.storage.FileStateStorage method)
(olympus.utils.storage.InMemoryStorage method)
expansion (olympus.models.preactresnet.PreActBlock attribute)
(olympus.models.preactresnet.PreActBottleneck attribute)
(olympus.models.resnet.BasicBlock attribute)
(olympus.models.resnet.Bottleneck attribute)
ExponentialLR (class in olympus.optimizers.schedules.exponential)
ExponentialSmoothing (class in olympus.accumulators.smoothing)
F
FakeDataset (class in olympus.datasets.fake)
FashionMNIST (class in olympus.datasets.fashionmnist)
fetch_device() (in module olympus.utils)
fetch_factories() (in module olympus.utils.factory)
fetch_gradient() (olympus.dashboard.plots.saliency.GuidedBackprop method)
file (olympus.datasets.tensorhdf5.HDF5Dataset attribute)
FileMetaStorage (class in olympus.utils.storage)
files (olympus.datasets.archive.ZipDataset attribute)
FileStateStorage (class in olympus.utils.storage)
fill() (in module olympus.observers.progress)
find_batch_size() (in module olympus.utils)
find_classes() (olympus.datasets.archive.ZipDataset method)
finish() (olympus.metrics.rl.ReinforcementTest method)
(olympus.tasks.gan.GAN method)
(olympus.tasks.reinforcement.ppo.PPO method)
first_obs (olympus.utils.stat.StatStream attribute)
(olympus.utils.stat.StatStreamStruct attribute)
fit() (olympus.tasks.classification.Classification method)
(olympus.tasks.detection.ObjectDetection method)
(olympus.tasks.gan.GAN method)
(olympus.tasks.reinforcement.a2c.A2C method)
(olympus.tasks.reinforcement.ppo.PPO method)
(olympus.tasks.segmentation.Segmentation method)
(olympus.tasks.task.Task method)
flush() (olympus.distributed.multigpu.NoOut method)
forward() (olympus.models.lenet.LeNet method)
(olympus.models.Model method)
(olympus.models.mlp.MLP method)
(olympus.models.mobilenetv2.Block method)
(olympus.models.mobilenetv2.MobileNetV2 method)
(olympus.models.preactresnet.PreActBlock method)
(olympus.models.preactresnet.PreActBottleneck method)
(olympus.models.preactresnet.PreActResNet method)
(olympus.models.resnet.BasicBlock method)
(olympus.models.resnet.Bottleneck method)
(olympus.models.resnet.ResNet method)
(olympus.models.vgg.VGG method)
frequency_end_batch (olympus.metrics.accuracy.OnlineTrainAccuracy attribute)
(olympus.observers.progress.SampleCount attribute)
(olympus.observers.progress.Speed attribute)
frequency_end_epoch (olympus.metrics.accuracy.OnlineTrainAccuracy attribute)
(olympus.observers.progress.Speed attribute)
frequency_new_batch (olympus.metrics.accuracy.Accuracy attribute)
(olympus.metrics.accuracy.AUC attribute)
(olympus.observers.observer.Observer attribute)
(olympus.observers.progress.Speed attribute)
frequency_new_epoch (olympus.metrics.accuracy.Accuracy attribute)
(olympus.metrics.accuracy.AUC attribute)
(olympus.observers.observer.Observer attribute)
(olympus.observers.progress.Speed attribute)
frequency_new_trial (olympus.observers.observer.Observer attribute)
from_dict() (olympus.hpo.hyperband.Hyperband static method)
(olympus.utils.stat.StatStream static method)
from_state() (olympus.models.Model static method)
G
GAN (class in olympus.tasks.gan)
garbage_collect() (olympus.utils.storage.BaseStorage method)
(olympus.utils.storage.FileStateStorage method)
(olympus.utils.storage.InMemoryStorage method)
Gaussian (class in olympus.datasets.gaussian)
generate() (olympus.datasets.gaussian.Gaussian method)
(olympus.tasks.gan.GAN method)
generate_hdf5_dataset() (in module olympus.datasets.tensorhdf5)
generate_jpeg_dataset() (in module olympus.datasets.imagenet)
GenerateSummary (class in olympus.tasks.task)
get() (olympus.observers.ObserverList method)
get_accuracy() (olympus.metrics.accuracy.Accuracy method)
get_auc() (olympus.metrics.accuracy.AUC method)
get_available_port() (in module olympus.baselines.launch)
get_available_tasks() (in module olympus.baselines.launch)
get_current_space() (olympus.models.inits.Initializer method)
(olympus.models.Model method)
(olympus.optimizers.Optimizer method)
(olympus.optimizers.schedules.LRSchedule method)
(olympus.tasks.classification.Classification method)
(olympus.tasks.segmentation.Segmentation method)
get_device_count() (in module olympus.baselines.launch)
get_device_vendor() (in module olympus.utils.gpu)
get_dirpath() (in module olympus.datasets.tinyimagenet)
get_free_port() (in module olympus.utils.network)
get_hostname_ip() (in module olympus.utils.network)
get_initializers_space() (in module olympus.models.inits)
get_ip_address() (in module olympus.utils.network)
get_lr() (olympus.optimizers.schedules.LRSchedule method)
get_name() (olympus.tasks.task.GenerateSummary method)
get_network_interface() (in module olympus.utils.network)
get_optimizers_space() (in module olympus.optimizers)
get_params() (olympus.datasets.transformed.RandomCrop static method)
get_rng_states() (in module olympus.utils)
get_schedules_space() (in module olympus.optimizers)
get_seeds() (in module olympus.utils)
get_space() (olympus.models.inits.glorot.GlorotNormal static method)
(olympus.models.Model method)
(olympus.models.inits.Initializer method)
(olympus.models.inits.glorot.GlorotUniform static method)
(olympus.models.inits.kaiming.KaimingNormal static method)
(olympus.models.inits.kaiming.KaimingUniform static method)
(olympus.optimizers.Optimizer method)
(olympus.optimizers.adam.Adam static method)
(olympus.optimizers.amsgrad.AMSGrad static method)
(olympus.optimizers.base.OptimizerAdapter static method)
(olympus.optimizers.base.OptimizerInterface static method)
(olympus.optimizers.schedules.LRSchedule method)
(olympus.optimizers.schedules.cyclic.CyclicLR static method)
(olympus.optimizers.schedules.exponential.ExponentialLR static method)
(olympus.optimizers.sgd.SGD static method)
(olympus.tasks.classification.Classification method)
(olympus.tasks.detection.ObjectDetection method)
(olympus.tasks.reinforcement.a2c.A2C method)
(olympus.tasks.reinforcement.ppo.PPO method)
(olympus.tasks.segmentation.Segmentation method)
(olympus.tasks.task.Task method)
get_spaces (olympus.reinforcement.parallel.WorkerStat attribute)
get_spaces() (olympus.reinforcement.parallel.ParallelEnvironment method)
get_time_delta() (in module olympus.observers.progress)
get_value() (in module olympus.utils)
get_zipfile_path() (in module olympus.datasets.tinyimagenet)
GlorotNormal (class in olympus.models.inits.glorot)
GlorotUniform (class in olympus.models.inits.glorot)
GpuMonitor (class in olympus.utils.gpu)
grad_batch (olympus.reinforcement.replay.ReplayVector attribute)
grad_x_input() (olympus.dashboard.plots.saliency.GuidedBackprop method)
GroupedBatchSampler (class in olympus.datasets.sampling.group)
guess_batch_size() (olympus.observers.progress.Speed method)
GuessMaxStep (class in olympus.observers.progress)
GuidedBackprop (class in olympus.dashboard.plots.saliency)
GymEnvironment (class in olympus.reinforcement.gymenv)
H
half (olympus.optimizers.Optimizer attribute)
half_args (olympus.optimizers.Optimizer attribute)
handler() (olympus.utils.signals.Protected method)
HDF5Dataset (class in olympus.datasets.tensorhdf5)
HPOptimizer (class in olympus.hpo)
Hyperband (class in olympus.hpo.hyperband)
HyperParameters (class in olympus.utils)
I
imagenet_postprocessor() (in module olympus.dashboard.plots.saliency)
imagenet_preprocess() (in module olympus.dashboard.plots.saliency)
ImagetNet (class in olympus.datasets.imagenet)
importance_heatmap_altair() (in module olympus.dashboard.plots.hyperparameter_importance)
importance_heatmap_plotly() (in module olympus.dashboard.plots.hyperparameter_importance)
info() (olympus.hpo.HPOptimizer method)
(olympus.hpo.hyperband.Hyperband method)
(olympus.hpo.random_search.RandomSearch method)
init() (olympus.models.inits.Initializer method)
(olympus.models.Model method)
(olympus.optimizers.Optimizer method)
(olympus.optimizers.schedules.LRSchedule method)
(olympus.tasks.classification.Classification method)
(olympus.tasks.detection.ObjectDetection method)
(olympus.tasks.reinforcement.a2c.A2C method)
(olympus.tasks.reinforcement.ppo.PPO method)
(olympus.tasks.segmentation.Segmentation method)
(olympus.tasks.task.Task method)
initialize_weights() (in module olympus.models.inits)
Initializer (class in olympus.models.inits)
initializer (olympus.models.inits.Initializer attribute)
InMemoryMetaStorage (class in olympus.utils.storage)
InMemoryStorage (class in olympus.utils.storage)
input_shape (olympus.datasets.dataset.AllDataset attribute)
input_size (olympus.reinforcement.Environment attribute)
(olympus.reinforcement.gymenv.GymEnvironment attribute)
(olympus.reinforcement.procgenenv.ProcgenEnvironment attribute)
insert_cache() (olympus.utils.storage.InMemoryStorage method)
insert_manual_sample() (olympus.hpo.HPOptimizer method)
invoke() (olympus.utils.LazyCall method)
is_done() (olympus.hpo.HPOptimizer method)
(olympus.hpo.hyperband.Hyperband method)
(olympus.hpo.random_search.RandomSearch method)
is_nested() (olympus.tasks.task.GenerateSummary method)
is_port_free() (in module olympus.utils.network)
item() (in module olympus.metrics.accuracy)
items() (olympus.datasets.split.balanced_classes.Split method)
K
Kaiming (class in olympus.models.inits.kaiming)
KaimingNormal (class in olympus.models.inits.kaiming)
KaimingUniform (class in olympus.models.inits.kaiming)
keys() (olympus.datasets.split.balanced_classes.Split method)
Kio (olympus.utils.storage.BaseStorage attribute)
known_environments() (in module olympus.reinforcement)
known_hpo() (in module olympus.hpo)
known_initialization() (in module olympus.models.inits)
known_models() (in module olympus.models)
known_optimizers() (in module olympus.optimizers)
known_schedule() (in module olympus.optimizers.schedules)
L
labels (olympus.datasets.tensorhdf5.HDF5Dataset attribute)
latent_vector_size (olympus.tasks.gan.GAN attribute)
launch() (olympus.baselines.launch.Worker method)
layer_init() (olympus.models.inits.glorot.GlorotNormal method)
(olympus.models.inits.glorot.GlorotUniform method)
(olympus.models.inits.kaiming.KaimingNormal method)
(olympus.models.inits.kaiming.KaimingUniform method)
LazyCall (class in olympus.utils)
LeNet (class in olympus.models.lenet)
load() (olympus.utils.storage.BaseStorage method)
(olympus.utils.storage.FileMetaStorage method)
(olympus.utils.storage.FileStateStorage method)
(olympus.utils.storage.InMemoryMetaStorage method)
(olympus.utils.storage.InMemoryStorage method)
load_configuration() (in module olympus.utils.options)
load_meta() (olympus.utils.storage.FileStateStorage method)
(olympus.utils.storage.InMemoryStorage method)
load_state_dict() (olympus.datasets.sampling.RandomSampler method)
(olympus.datasets.sampling.SequentialSampler method)
(olympus.datasets.transformed.Compose method)
(olympus.datasets.transformed.RandomCrop method)
(olympus.datasets.transformed.RandomHorizontalFlip method)
(olympus.hpo.HPOptimizer method)
(olympus.hpo.hyperband.Hyperband method)
(olympus.hpo.random_search.RandomSearch method)
(olympus.metrics.accuracy.AUC method)
(olympus.metrics.accuracy.Accuracy method)
(olympus.metrics.accuracy.OnlineTrainAccuracy method)
(olympus.metrics.adversary.ClassifierAdversary method)
(olympus.models.Model method)
(olympus.observers.ObserverList method)
(olympus.observers.observer.Observer method)
(olympus.observers.progress.DefaultProgress method)
(olympus.observers.progress.ElapsedRealTime method)
(olympus.observers.progress.EpochProgress method)
(olympus.observers.progress.GuessMaxStep method)
(olympus.observers.progress.ProgressView method)
(olympus.observers.progress.SampleCount method)
(olympus.observers.progress.Speed method)
(olympus.observers.progress.StepProgress method)
(olympus.optimizers.Optimizer method)
(olympus.optimizers.base.OptimizerAdapter method)
(olympus.optimizers.base.OptimizerInterface method)
(olympus.optimizers.schedules.LRSchedule method)
(olympus.optimizers.schedules.cyclic.CyclicLR method)
(olympus.optimizers.schedules.exponential.ExponentialLR method)
(olympus.reinforcement.Environment method)
(olympus.reinforcement.gymenv.GymEnvironment method)
(olympus.reinforcement.procgenenv.ProcgenEnvironment method)
(olympus.tasks.classification.Classification method)
(olympus.tasks.detection.ObjectDetection method)
(olympus.tasks.reinforcement.a2c.A2C method)
(olympus.tasks.reinforcement.ppo.PPO method)
(olympus.tasks.segmentation.Segmentation method)
(olympus.tasks.task.Task method)
loader (olympus.metrics.accuracy.Accuracy attribute)
(olympus.metrics.accuracy.AUC attribute)
(olympus.metrics.adversary.ClassifierAdversary attribute)
loc() (olympus.utils.storage.FileMetaStorage method)
local_multigpu_launch() (in module olympus.baselines.launch)
log_prob (olympus.reinforcement.replay.Transition attribute)
log_probs() (olympus.reinforcement.replay.ReplayVector method)
logistic_regression() (in module olympus.models.logreg)
loss (olympus.metrics.accuracy.OnlineTrainAccuracy attribute)
(olympus.metrics.adversary.ClassifierAdversary attribute)
lr_scheduler (olympus.optimizers.schedules.LRSchedule attribute)
LRSchedule (class in olympus.optimizers.schedules)
M
main() (in module olympus.baselines.classification)
(in module olympus.baselines.launch)
make_benzina_data_loader() (in module olympus.datasets.imagenet)
make_device_groups() (in module olympus.baselines.launch)
make_layers() (olympus.models.vgg.VGG method)
make_monitor() (in module olympus.utils.gpu)
marginals_altair() (in module olympus.dashboard.plots.hyperparameter_importance)
mask (olympus.reinforcement.replay.Transition attribute)
masks() (olympus.reinforcement.replay.ReplayVector method)
max (olympus.utils.stat.StatStream attribute)
(olympus.utils.stat.StatStreamStruct attribute)
max() (olympus.reinforcement.Environment method)
(olympus.reinforcement.gymenv.GymEnvironment method)
(olympus.reinforcement.procgenenv.ProcgenEnvironment method)
max_step() (olympus.observers.progress.GuessMaxStep method)
max_trials() (olympus.hpo.hyperband.Hyperband method)
Metric (in module olympus.observers.observer)
MetricList (in module olympus.observers)
metrics (olympus.tasks.task.Task attribute)
metrics() (olympus.utils.gpu.nvidia.NvGpuMonitor method)
min (olympus.utils.stat.StatStream attribute)
(olympus.utils.stat.StatStreamStruct attribute)
Mio (olympus.utils.storage.BaseStorage attribute)
missing_parameters() (olympus.utils.HyperParameters method)
missing_params() (in module olympus.utils)
MissingArgument
MissingParameters
MLP (class in olympus.models.mlp)
MNIST (class in olympus.datasets.mnist)
MobileNetV2 (class in olympus.models.mobilenetv2)
Model (class in olympus.models)
model (olympus.models.Model attribute)
(olympus.tasks.classification.Classification attribute)
(olympus.tasks.detection.ObjectDetection attribute)
(olympus.tasks.reinforcement.a2c.A2C attribute)
(olympus.tasks.reinforcement.ppo.PPO attribute)
(olympus.tasks.segmentation.Segmentation attribute)
MovingAverage (class in olympus.accumulators.smoothing)
Multivariate (class in olympus.datasets.gaussian)
N
name (olympus.metrics.accuracy.Accuracy attribute)
(olympus.metrics.accuracy.AUC attribute)
negative_saliency() (olympus.dashboard.plots.saliency.GuidedBackprop method)
new_batch() (olympus.observers.ObserverList method)
new_epoch() (olympus.observers.ObserverList method)
new_seed() (in module olympus.utils)
new_trial() (olympus.observers.ObserverList method)
new_trials() (olympus.hpo.hyperband.Hyperband method)
(olympus.hpo.random_search.RandomSearch method)
next_state (olympus.reinforcement.replay.Transition attribute)
next_states() (olympus.reinforcement.replay.ReplayVector method)
NoOut (class in olympus.distributed.multigpu)
NoStorage() (in module olympus.utils.storage)
NotFittedError
num_classes (olympus.datasets.pennfudan.PennFudanDataset attribute)
NvGpuMonitor (class in olympus.utils.gpu.nvidia)
NVIDIA (olympus.utils.gpu.DeviceVendor attribute)
O
ObjectDetection (class in olympus.tasks.detection)
observe() (olympus.hpo.HPOptimizer method)
Observer (class in olympus.observers.observer)
ObserverList (class in olympus.observers)
olympus.accumulators.smoothing (module)
olympus.baselines (module)
olympus.baselines.classification (module)
olympus.baselines.launch (module)
olympus.dashboard.plots.hyperparameter_exploration (module)
olympus.dashboard.plots.hyperparameter_importance (module)
olympus.dashboard.plots.layer (module)
olympus.dashboard.plots.saliency (module)
olympus.dashboard.plots.training_curve (module)
olympus.dashboard.plots.work_distribution (module)
olympus.dashboard.plots.work_status (module)
olympus.datasets.archive (module)
olympus.datasets.cifar10 (module)
olympus.datasets.cifar100 (module)
olympus.datasets.dataset (module)
olympus.datasets.emnist (module)
olympus.datasets.fake (module)
olympus.datasets.fashionmnist (module)
olympus.datasets.gaussian (module)
olympus.datasets.imagenet (module)
olympus.datasets.mnist (module)
olympus.datasets.pennfudan (module)
olympus.datasets.sampling (module)
olympus.datasets.sampling.group (module)
olympus.datasets.split.balanced_classes (module)
olympus.datasets.split.bootstrap (module)
olympus.datasets.split.constrained_bootstrap (module)
olympus.datasets.split.crossvalid (module)
olympus.datasets.split.original (module)
olympus.datasets.split.resample (module)
olympus.datasets.split.split (module)
olympus.datasets.split.subsample (module)
olympus.datasets.svhn (module)
olympus.datasets.tensorhdf5 (module)
olympus.datasets.tinyimagenet (module)
olympus.datasets.transformed (module)
olympus.distributed (module)
olympus.distributed.multigpu (module)
olympus.hpo (module)
olympus.hpo.hyperband (module)
olympus.hpo.random_search (module)
olympus.metrics (module)
olympus.metrics.accuracy (module)
olympus.metrics.adversary (module)
olympus.metrics.rl (module)
olympus.models (module)
olympus.models.efficientnet (module)
olympus.models.inits (module)
olympus.models.inits.glorot (module)
olympus.models.inits.kaiming (module)
olympus.models.lenet (module)
olympus.models.logreg (module)
olympus.models.mlp (module)
olympus.models.mobilenetv2 (module)
olympus.models.preactresnet (module)
olympus.models.resnet (module)
olympus.models.vgg (module)
olympus.observers (module)
olympus.observers.observer (module)
olympus.observers.progress (module)
olympus.optimizers (module)
olympus.optimizers.adam (module)
olympus.optimizers.amsgrad (module)
olympus.optimizers.base (module)
olympus.optimizers.schedules (module)
olympus.optimizers.schedules.cyclic (module)
olympus.optimizers.schedules.exponential (module)
olympus.optimizers.sgd (module)
olympus.reinforcement (module)
olympus.reinforcement.dataloader (module)
olympus.reinforcement.gymenv (module)
olympus.reinforcement.parallel (module)
olympus.reinforcement.procgenenv (module)
olympus.reinforcement.replay (module)
olympus.tasks.classification (module)
olympus.tasks.detection (module)
olympus.tasks.gan (module)
olympus.tasks.reinforcement.a2c (module)
olympus.tasks.reinforcement.ppo (module)
olympus.tasks.segmentation (module)
olympus.tasks.task (module)
olympus.utils (module)
olympus.utils.dtypes (module)
olympus.utils.factory (module)
olympus.utils.fp16 (module)
olympus.utils.gpu (module)
olympus.utils.gpu.amd (module)
olympus.utils.gpu.nvidia (module)
olympus.utils.network (module)
olympus.utils.options (module)
olympus.utils.signals (module)
olympus.utils.stat (module)
olympus.utils.storage (module)
on_end_batch() (olympus.metrics.accuracy.OnlineTrainAccuracy method)
(olympus.metrics.adversary.ClassifierAdversary method)
(olympus.observers.progress.ElapsedRealTime method)
(olympus.observers.progress.ProgressView method)
(olympus.observers.progress.SampleCount method)
(olympus.observers.progress.Speed method)
on_end_epoch() (olympus.metrics.accuracy.Accuracy method)
(olympus.metrics.accuracy.AUC method)
(olympus.metrics.accuracy.OnlineTrainAccuracy method)
(olympus.metrics.adversary.ClassifierAdversary method)
(olympus.observers.progress.ProgressView method)
(olympus.observers.progress.Speed method)
on_end_train() (olympus.metrics.accuracy.Accuracy method)
(olympus.metrics.accuracy.AUC method)
(olympus.metrics.accuracy.OnlineTrainAccuracy method)
(olympus.metrics.adversary.ClassifierAdversary method)
(olympus.observers.observer.Observer method)
(olympus.observers.progress.ElapsedRealTime method)
(olympus.observers.progress.ProgressView method)
on_new_batch() (olympus.observers.observer.Observer method)
(olympus.observers.progress.Speed method)
on_new_epoch() (olympus.metrics.rl.ReinforcementTest method)
(olympus.observers.observer.Observer method)
(olympus.observers.progress.ProgressView method)
(olympus.observers.progress.Speed method)
on_new_trial() (olympus.metrics.accuracy.Accuracy method)
(olympus.observers.observer.Observer method)
on_resume_train() (olympus.observers.progress.ProgressView method)
on_start_train() (olympus.metrics.accuracy.Accuracy method)
(olympus.metrics.accuracy.AUC method)
(olympus.observers.observer.Observer method)
(olympus.observers.progress.ProgressView method)
OnlineTrainAccuracy (class in olympus.metrics.accuracy)
open() (olympus.utils.storage.BaseStorage method)
(olympus.utils.storage.FileStateStorage method)
Optimizer (class in olympus.optimizers)
optimizer (olympus.optimizers.Optimizer attribute)
OptimizerAdapter (class in olympus.optimizers.base)
OptimizerInterface (class in olympus.optimizers.base)
option() (in module olympus.utils.options)
options() (in module olympus.utils.options)
P
ParallelEnvironment (class in olympus.reinforcement.parallel)
param_groups (olympus.optimizers.base.OptimizerAdapter attribute)
(olympus.optimizers.Optimizer attribute)
parameters() (olympus.models.Model method)
(olympus.tasks.classification.Classification method)
(olympus.tasks.detection.ObjectDetection method)
(olympus.tasks.reinforcement.a2c.A2C method)
(olympus.tasks.reinforcement.ppo.PPO method)
(olympus.tasks.segmentation.Segmentation method)
(olympus.utils.HyperParameters method)
parse() (olympus.utils.gpu.nvidia.NvGpuMonitor method)
parse_gpu_usage() (olympus.utils.gpu.amd.AmdGpuMonitor method)
parse_memory_free() (olympus.utils.gpu.amd.AmdGpuMonitor method)
parse_memory_props() (olympus.utils.gpu.amd.AmdGpuMonitor method)
parse_memory_total() (olympus.utils.gpu.amd.AmdGpuMonitor method)
parse_memory_usage() (olympus.utils.gpu.amd.AmdGpuMonitor method)
parse_memory_used() (olympus.utils.gpu.amd.AmdGpuMonitor method)
parse_name() (olympus.utils.gpu.amd.AmdGpuMonitor method)
parse_temperature() (olympus.utils.gpu.amd.AmdGpuMonitor method)
parse_uri() (in module olympus.utils)
parse_uri_options() (in module olympus.utils)
penn_collate_fn() (in module olympus.datasets.pennfudan)
PennFudanDataset (class in olympus.datasets.pennfudan)
pil_loader() (in module olympus.datasets.archive)
plot() (olympus.metrics.rl.ReinforcementTest method)
plot_gantt_plotly() (in module olympus.dashboard.plots.work_distribution)
plot_mean_objective_altair() (in module olympus.dashboard.plots.training_curve)
plot_objective_altair() (in module olympus.dashboard.plots.training_curve)
pop_from_cache() (olympus.utils.storage.InMemoryStorage method)
positive_saliency() (olympus.dashboard.plots.saliency.GuidedBackprop method)
PPO (class in olympus.tasks.reinforcement.ppo)
ppo() (olympus.tasks.reinforcement.ppo.PPO method)
PreActBlock (class in olympus.models.preactresnet)
PreActBottleneck (class in olympus.models.preactresnet)
PreActResNet (class in olympus.models.preactresnet)
predict() (olympus.tasks.classification.Classification method)
(olympus.tasks.segmentation.Segmentation method)
predict_log_probabilities() (olympus.tasks.classification.Classification method)
(olympus.tasks.segmentation.Segmentation method)
predict_scores() (olympus.tasks.classification.Classification method)
(olympus.tasks.segmentation.Segmentation method)
prepare_gantt_array() (in module olympus.dashboard.plots.work_distribution)
prepare_overview_altair() (in module olympus.dashboard.plots.work_status)
print() (olympus.tasks.task.GenerateSummary method)
priority (olympus.observers.observer.Observer attribute)
(olympus.observers.progress.Speed attribute)
ProcEnvAdapter (class in olympus.reinforcement.procgenenv)
process_ignore() (olympus.utils.gpu.nvidia.NvGpuMonitor method)
process_memory() (olympus.utils.gpu.nvidia.NvGpuMonitor method)
process_percentage() (olympus.utils.gpu.nvidia.NvGpuMonitor method)
process_value() (olympus.utils.gpu.nvidia.NvGpuMonitor method)
ProcgenEnvironment (class in olympus.reinforcement.procgenenv)
ProgressView (class in olympus.observers.progress)
promote() (olympus.hpo.hyperband.Hyperband method)
Protected (class in olympus.utils.signals)
R
RandomCrop (class in olympus.datasets.transformed)
RandomHorizontalFlip (class in olympus.datasets.transformed)
RandomSampler (class in olympus.datasets.sampling)
RandomSamplerWithoutReplacement (class in olympus.datasets.sampling)
RandomSamplerWithReplacement (class in olympus.datasets.sampling)
RandomSearch (class in olympus.hpo.random_search)
rank() (in module olympus.distributed.multigpu)
read() (olympus.utils.storage.BaseStorage method)
(olympus.utils.storage.FileStateStorage method)
(olympus.utils.storage.InMemoryStorage method)
read_props() (olympus.utils.gpu.amd.AmdGpuMonitor method)
read_timer (olympus.datasets.archive.ZipDataset attribute)
read_value() (olympus.utils.gpu.amd.AmdGpuMonitor method)
register_environment() (in module olympus.reinforcement)
register_hpo() (in module olympus.hpo)
register_initialization() (in module olympus.models.inits)
register_model() (in module olympus.models)
register_optimizer() (in module olympus.optimizers)
register_schedule() (in module olympus.optimizers.schedules)
RegisteredEnvironmentNotFound
RegisteredHPONotFound
RegisteredInitNotFound
RegisteredLRSchedulerNotFound
RegisteredModelNotFound
RegisteredOptimizerNotFound
ReinforcementTest (class in olympus.metrics.rl)
remaining() (olympus.hpo.HPOptimizer method)
(olympus.hpo.hyperband.Hyperband method)
(olympus.hpo.random_search.RandomSearch method)
remove() (olympus.utils.storage.BaseStorage method)
(olympus.utils.storage.FileStateStorage method)
(olympus.utils.storage.InMemoryStorage method)
rename() (olympus.tasks.task.GenerateSummary method)
(olympus.utils.storage.BaseStorage method)
(olympus.utils.storage.FileStateStorage method)
(olympus.utils.storage.InMemoryStorage method)
render() (olympus.reinforcement.parallel.ParallelEnvironment method)
ReplayVector (class in olympus.reinforcement.replay)
ReplayVectorIterator (class in olympus.reinforcement.dataloader)
report() (olympus.observers.ObserverList method)
(olympus.reinforcement.parallel.ParallelEnvironment method)
(olympus.tasks.task.Task method)
resample_random_indices() (in module olympus.datasets.split.resample)
reset (olympus.reinforcement.parallel.WorkerStat attribute)
reset() (olympus.reinforcement.parallel.ParallelEnvironment method)
(olympus.reinforcement.procgenenv.ProcEnvAdapter method)
reset_task() (olympus.reinforcement.parallel.ParallelEnvironment method)
reset_throttle() (olympus.observers.progress.ProgressView method)
reset_time (olympus.reinforcement.parallel.WorkerStat attribute)
ResNet (class in olympus.models.resnet)
result() (olympus.hpo.HPOptimizer method)
resume_train() (olympus.observers.ObserverList method)
resumed() (olympus.tasks.task.Task method)
retrieve_nested() (olympus.tasks.task.GenerateSummary method)
reward (olympus.reinforcement.replay.Transition attribute)
rewards() (olympus.reinforcement.replay.ReplayVector method)
RLDataLoader (class in olympus.reinforcement.dataloader)
RLTorchIterator (class in olympus.reinforcement.dataloader)
run() (in module olympus.baselines.launch)
(olympus.utils.gpu.amd.AmdGpuMonitor method)
(olympus.utils.gpu.nvidia.NvGpuMonitor method)
S
safe_load() (olympus.utils.storage.BaseStorage method)
safe_write() (in module olympus.utils.storage)
sample_action() (olympus.reinforcement.Environment method)
(olympus.reinforcement.gymenv.GymEnvironment method)
(olympus.reinforcement.procgenenv.ProcgenEnvironment method)
sample_count (olympus.observers.progress.SampleCount attribute)
SampleCount (class in olympus.observers.progress)
save() (olympus.utils.storage.BaseStorage method)
(olympus.utils.storage.FileMetaStorage method)
(olympus.utils.storage.FileStateStorage method)
(olympus.utils.storage.InMemoryMetaStorage method)
(olympus.utils.storage.InMemoryStorage method)
save_computations() (olympus.models.vgg.VGG method)
save_meta() (olympus.utils.storage.BaseStorage method)
(olympus.utils.storage.FileStateStorage method)
(olympus.utils.storage.InMemoryStorage method)
scatter_matrix_altair() (in module olympus.dashboard.plots.hyperparameter_exploration)
scatter_matrix_plotly() (in module olympus.dashboard.plots.hyperparameter_exploration)
sd (olympus.utils.stat.StatStream attribute)
Segmentation (class in olympus.tasks.segmentation)
select_progress_printer() (olympus.observers.progress.ProgressView method)
SequentialSampler (class in olympus.datasets.sampling)
set_base() (olympus.utils.storage.BaseStorage method)
(olympus.utils.storage.FileStateStorage method)
set_device() (olympus.tasks.task.Task method)
set_max_epochs() (olympus.observers.progress.ProgressView method)
set_max_steps() (olympus.observers.progress.ProgressView method)
set_option() (in module olympus.utils.options)
set_rank() (in module olympus.distributed.multigpu)
set_rng_states() (in module olympus.utils)
set_seeds() (in module olympus.utils)
SGD (class in olympus.optimizers.sgd)
should_run() (olympus.observers.ObserverList static method)
show_dict() (in module olympus.utils)
show_memory_usage() (olympus.utils.storage.BaseStorage method)
(olympus.utils.storage.FileStateStorage method)
(olympus.utils.storage.InMemoryStorage method)
show_progress() (in module olympus.observers.progress)
(olympus.observers.progress.DefaultProgress method)
(olympus.observers.progress.EpochProgress method)
(olympus.observers.progress.ProgressView method)
(olympus.observers.progress.StepProgress method)
show_resource_stats() (in module olympus.baselines.launch)
shutdown() (olympus.reinforcement.dataloader.RLDataLoader method)
sigint() (olympus.utils.signals.SignalHandler method)
SignalHandler (class in olympus.utils.signals)
sigterm() (olympus.utils.signals.SignalHandler method)
simple_launch() (in module olympus.baselines.launch)
simple_replay_vector() (in module olympus.reinforcement.dataloader)
simulation_batch (olympus.reinforcement.replay.ReplayVector attribute)
single_gpu_launch() (in module olympus.baselines.launch)
single_worker_single_gpu() (in module olympus.baselines.launch)
Speed (class in olympus.observers.progress)
Split (class in olympus.datasets.split.balanced_classes)
split() (in module olympus.datasets.split.bootstrap)
(in module olympus.datasets.split.constrained_bootstrap)
(in module olympus.datasets.split.crossvalid)
(in module olympus.datasets.split.original)
(in module olympus.datasets.split.resample)
(in module olympus.datasets.split.split)
(in module olympus.datasets.split.subsample)
split_random_indices() (in module olympus.datasets.split.split)
start_monitor() (in module olympus.utils.gpu)
start_train() (olympus.observers.ObserverList method)
state (olympus.optimizers.base.OptimizerAdapter attribute)
(olympus.optimizers.Optimizer attribute)
(olympus.reinforcement.dataloader.ReplayVectorIterator attribute)
(olympus.reinforcement.replay.Transition attribute)
state_dict() (olympus.datasets.sampling.RandomSampler method)
(olympus.datasets.sampling.SequentialSampler method)
(olympus.datasets.transformed.Compose method)
(olympus.datasets.transformed.RandomCrop method)
(olympus.datasets.transformed.RandomHorizontalFlip method)
(olympus.hpo.HPOptimizer method)
(olympus.hpo.hyperband.Hyperband method)
(olympus.hpo.random_search.RandomSearch method)
(olympus.metrics.accuracy.AUC method)
(olympus.metrics.accuracy.Accuracy method)
(olympus.metrics.accuracy.OnlineTrainAccuracy method)
(olympus.metrics.adversary.ClassifierAdversary method)
(olympus.models.Model method)
(olympus.observers.ObserverList method)
(olympus.observers.observer.Observer method)
(olympus.observers.progress.DefaultProgress method)
(olympus.observers.progress.ElapsedRealTime method)
(olympus.observers.progress.EpochProgress method)
(olympus.observers.progress.GuessMaxStep method)
(olympus.observers.progress.ProgressView method)
(olympus.observers.progress.SampleCount method)
(olympus.observers.progress.Speed method)
(olympus.observers.progress.StepProgress method)
(olympus.optimizers.Optimizer method)
(olympus.optimizers.base.OptimizerAdapter method)
(olympus.optimizers.base.OptimizerInterface method)
(olympus.optimizers.schedules.LRSchedule method)
(olympus.optimizers.schedules.cyclic.CyclicLR method)
(olympus.optimizers.schedules.exponential.ExponentialLR method)
(olympus.reinforcement.Environment method)
(olympus.reinforcement.gymenv.GymEnvironment method)
(olympus.reinforcement.procgenenv.ProcgenEnvironment method)
(olympus.tasks.classification.Classification method)
(olympus.tasks.detection.ObjectDetection method)
(olympus.tasks.reinforcement.a2c.A2C method)
(olympus.tasks.reinforcement.ppo.PPO method)
(olympus.tasks.segmentation.Segmentation method)
(olympus.tasks.task.Task method)
(olympus.utils.stat.StatStream method)
state_size (olympus.reinforcement.replay.ReplayVector attribute)
state_space (olympus.reinforcement.Environment attribute)
(olympus.reinforcement.gymenv.GymEnvironment attribute)
(olympus.reinforcement.parallel.ParallelEnvironment attribute)
(olympus.reinforcement.procgenenv.ProcgenEnvironment attribute)
states() (olympus.reinforcement.replay.ReplayVector method)
StateStorage (in module olympus.utils.storage)
StatStream (class in olympus.utils.stat)
StatStreamStruct (class in olympus.utils.stat)
step (olympus.observers.progress.Speed attribute)
(olympus.reinforcement.parallel.VectorStat attribute)
(olympus.reinforcement.parallel.WorkerStat attribute)
step() (olympus.optimizers.base.OptimizerAdapter method)
(olympus.optimizers.Optimizer method)
(olympus.optimizers.base.OptimizerInterface method)
(olympus.optimizers.schedules.LRSchedule method)
(olympus.optimizers.schedules.cyclic.CyclicLR method)
(olympus.optimizers.schedules.exponential.ExponentialLR method)
(olympus.reinforcement.parallel.ParallelEnvironment method)
(olympus.reinforcement.procgenenv.ProcEnvAdapter method)
(olympus.tasks.classification.Classification method)
(olympus.tasks.detection.ObjectDetection method)
(olympus.tasks.segmentation.Segmentation method)
step_async() (olympus.reinforcement.parallel.ParallelEnvironment method)
step_time (olympus.reinforcement.parallel.VectorStat attribute)
(olympus.reinforcement.parallel.WorkerStat attribute)
step_wait() (olympus.reinforcement.parallel.ParallelEnvironment method)
StepProgress (class in olympus.observers.progress)
stop() (olympus.utils.gpu.amd.AmdGpuMonitor method)
(olympus.utils.gpu.nvidia.NvGpuMonitor method)
subsample_random_indices() (in module olympus.datasets.split.subsample)
suggest() (olympus.hpo.HPOptimizer method)
(olympus.hpo.hyperband.Hyperband method)
(olympus.hpo.random_search.RandomSearch method)
sum (olympus.utils.stat.StatStream attribute)
(olympus.utils.stat.StatStreamStruct attribute)
sum_sqr (olympus.utils.stat.StatStream attribute)
(olympus.utils.stat.StatStreamStruct attribute)
summary() (olympus.tasks.task.Task method)
SVHN (class in olympus.datasets.svhn)
T
target_shape (olympus.datasets.dataset.AllDataset attribute)
target_size (olympus.reinforcement.Environment attribute)
(olympus.reinforcement.gymenv.GymEnvironment attribute)
(olympus.reinforcement.procgenenv.ProcgenEnvironment attribute)
Task (class in olympus.tasks.task)
task_summary() (olympus.tasks.task.GenerateSummary method)
Tensor (class in olympus.utils.dtypes)
TensorMeta (class in olympus.utils.dtypes)
test (olympus.reinforcement.Environment attribute)
(olympus.reinforcement.gymenv.GymEnvironment attribute)
(olympus.reinforcement.procgenenv.ProcgenEnvironment attribute)
test() (olympus.reinforcement.dataloader.RLDataLoader method)
test_size (olympus.datasets.dataset.AllDataset attribute)
time (olympus.metrics.adversary.ClassifierAdversary attribute)
TimeThrottler (class in olympus.utils)
TinyImageNet (class in olympus.datasets.tinyimagenet)
to() (olympus.models.Model method)
(olympus.optimizers.Optimizer method)
(olympus.reinforcement.dataloader.RLTorchIterator method)
(olympus.reinforcement.dataloader.ReplayVectorIterator method)
to_df() (olympus.utils.gpu.GpuMonitor method)
to_dict() (olympus.reinforcement.replay.ReplayVector method)
to_json() (olympus.utils.gpu.GpuMonitor method)
(olympus.utils.gpu.nvidia.NvGpuMonitor method)
(olympus.utils.stat.StatStream method)
to_nchw() (in module olympus.reinforcement.dataloader)
total (olympus.utils.stat.StatStream attribute)
total_steps (olympus.observers.progress.Speed attribute)
total_time (olympus.metrics.accuracy.Accuracy attribute)
(olympus.metrics.accuracy.AUC attribute)
train (olympus.reinforcement.Environment attribute)
(olympus.reinforcement.gymenv.GymEnvironment attribute)
(olympus.reinforcement.procgenenv.ProcgenEnvironment attribute)
train() (olympus.reinforcement.dataloader.RLDataLoader method)
train_size (olympus.datasets.dataset.AllDataset attribute)
transform_timer (olympus.datasets.archive.ZipDataset attribute)
TransformedSubset (class in olympus.datasets.transformed)
transforms() (olympus.datasets.dataset.AllDataset method)
Transition (class in olympus.reinforcement.replay)
transitions (olympus.reinforcement.replay.ReplayVector attribute)
trials (olympus.hpo.HPOptimizer attribute)
try_convert() (in module olympus.models)
U
UninitializedLRScheduler
UninitializedOptimizer
unzip() (in module olympus.datasets.tinyimagenet)
update() (olympus.observers.progress.GuessMaxStep method)
(olympus.utils.stat.StatStream method)
update_params() (in module olympus.utils)
V
val (olympus.utils.stat.StatStream attribute)
valid (olympus.reinforcement.Environment attribute)
(olympus.reinforcement.gymenv.GymEnvironment attribute)
(olympus.reinforcement.procgenenv.ProcgenEnvironment attribute)
valid() (olympus.reinforcement.dataloader.RLDataLoader method)
valid_size (olympus.datasets.dataset.AllDataset attribute)
Validation (class in olympus.metrics.rl)
value (olympus.accumulators.smoothing.MovingAverage attribute)
value() (olympus.metrics.accuracy.Accuracy method)
(olympus.metrics.accuracy.AUC method)
(olympus.metrics.accuracy.OnlineTrainAccuracy method)
(olympus.metrics.adversary.ClassifierAdversary method)
(olympus.metrics.rl.ReinforcementTest method)
(olympus.observers.ObserverList method)
(olympus.observers.observer.Observer method)
(olympus.observers.progress.ElapsedRealTime method)
(olympus.observers.progress.ProgressView method)
(olympus.observers.progress.SampleCount method)
(olympus.observers.progress.Speed method)
values() (olympus.datasets.split.balanced_classes.Split method)
var (olympus.utils.stat.StatStream attribute)
VariableShape (class in olympus.utils.dtypes)
VectorStat (class in olympus.reinforcement.parallel)
VGG (class in olympus.models.vgg)
vizualize_param() (in module olympus.dashboard.plots.layer)
vizualize_weights() (in module olympus.dashboard.plots.layer)
W
was_invoked() (olympus.utils.LazyCall method)
work_status() (in module olympus.dashboard.plots.work_status)
Worker (class in olympus.baselines.launch)
worker() (in module olympus.reinforcement.parallel)
WorkerStat (class in olympus.reinforcement.parallel)
write() (olympus.distributed.multigpu.NoOut method)
(olympus.utils.storage.BaseStorage method)
(olympus.utils.storage.FileStateStorage method)
(olympus.utils.storage.InMemoryStorage method)
WrongParameter
Z
zero_grad() (olympus.optimizers.base.OptimizerAdapter method)
(olympus.optimizers.Optimizer method)
(olympus.optimizers.base.OptimizerInterface method)
ZipDataset (class in olympus.datasets.archive)
zipfile (olympus.datasets.archive.ZipDataset attribute)