Index
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
L
|
M
|
N
|
O
|
P
|
R
|
S
|
T
|
U
|
V
|
W
|
Z
A
AdamConf (class in power_cogs.config.torch.torch_config)
add_config() (in module power_cogs.config)
(in module power_cogs.config.config_utils)
add_configs() (in module power_cogs.config)
(in module power_cogs.config.config_utils)
amsgrad (power_cogs.config.torch.torch_config.AdamConf attribute)
anneal_strategy (power_cogs.config.torch.torch_config.OneCycleLRConf attribute)
B
base_lr (power_cogs.config.torch.torch_config.CyclicLRConf attribute)
base_momentum (power_cogs.config.torch.torch_config.CyclicLRConf attribute)
(power_cogs.config.torch.torch_config.OneCycleLRConf attribute)
BaseDatasetConfig (class in power_cogs.config.base)
(class in power_cogs.config.base.base_config)
BaseLoggingConfig (class in power_cogs.config.base)
(class in power_cogs.config.base.base_config)
BaseModelConfig (class in power_cogs.config.base)
(class in power_cogs.config.base.base_config)
BaseTorchDataset (class in power_cogs.base)
(class in power_cogs.base.base_torch_dataset)
BaseTorchModel (class in power_cogs.base)
(class in power_cogs.base.base_torch_model)
BaseTorchTrainer (class in power_cogs.base)
(class in power_cogs.base.base_torch_trainer)
BaseTrainerConfig (class in power_cogs.config.base)
(class in power_cogs.config.base.base_config)
batch_sampler (power_cogs.config.torch.torch_config.DataLoaderConf attribute)
batch_size (power_cogs.config.base.base_config.BaseTrainerConfig attribute)
(power_cogs.config.base.BaseTrainerConfig attribute)
(power_cogs.config.torch.torch_config.DataLoaderConf attribute)
betas (power_cogs.config.torch.torch_config.AdamConf attribute)
C
ChainDatasetConf (class in power_cogs.config.torch.torch_config)
checkpoint_at_end (power_cogs.config.tune.tune_config.TuneConfig attribute)
checkpoint_freq (power_cogs.config.tune.tune_config.TuneConfig attribute)
checkpoint_interval (power_cogs.config.base.base_config.BaseTrainerConfig attribute)
(power_cogs.config.base.BaseTrainerConfig attribute)
checkpoint_path (power_cogs.config.base.base_config.BaseLoggingConfig attribute)
(power_cogs.config.base.BaseLoggingConfig attribute)
clear_configs() (in module power_cogs.config)
(in module power_cogs.config.config_utils)
collate_fn (power_cogs.config.torch.torch_config.DataLoaderConf attribute)
ConcatDatasetConf (class in power_cogs.config.torch.torch_config)
cooldown (power_cogs.config.torch.torch_config.ReduceLROnPlateauConf attribute)
CosineAnnealingLRConf (class in power_cogs.config.torch.torch_config)
CosineAnnealingWarmRestartsConf (class in power_cogs.config.torch.torch_config)
create_linear_layer() (in module power_cogs.utils.torch_utils)
create_linear_network() (in module power_cogs.utils.torch_utils)
create_stopper() (in module power_cogs.tune.tune_wrapper)
CustomMLflowLoggerCallback (class in power_cogs.tune.tune_wrapper)
cycle_momentum (power_cogs.config.torch.torch_config.CyclicLRConf attribute)
(power_cogs.config.torch.torch_config.OneCycleLRConf attribute)
CyclicLRConf (class in power_cogs.config.torch.torch_config)
D
dataloader_config (power_cogs.config.base.base_config.BaseTrainerConfig attribute)
(power_cogs.config.base.BaseTrainerConfig attribute)
DataLoaderConf (class in power_cogs.config.torch.torch_config)
dataset (power_cogs.config.torch.torch_config.DataLoaderConf attribute)
(power_cogs.config.torch.torch_config.SubsetConf attribute)
dataset_config (power_cogs.config.base.base_config.BaseTrainerConfig attribute)
(power_cogs.config.base.BaseTrainerConfig attribute)
DatasetConf (class in power_cogs.config.torch.torch_config)
datasets (power_cogs.config.torch.torch_config.ChainDatasetConf attribute)
(power_cogs.config.torch.torch_config.ConcatDatasetConf attribute)
Config (class in power_cogs.config.base)
(class in power_cogs.config.base.base_config)
device_id (power_cogs.config.base.base_config.BaseTrainerConfig attribute)
(power_cogs.config.base.BaseTrainerConfig attribute)
div_factor (power_cogs.config.torch.torch_config.OneCycleLRConf attribute)
doublewrap() (in module power_cogs.utils.logging)
drop_last (power_cogs.config.torch.torch_config.DataLoaderConf attribute)
E
early_stoppage (power_cogs.config.base.base_config.BaseTrainerConfig attribute)
(power_cogs.config.base.BaseTrainerConfig attribute)
epochs (power_cogs.config.base.base_config.BaseTrainerConfig attribute)
(power_cogs.config.base.BaseTrainerConfig attribute)
(power_cogs.config.torch.torch_config.OneCycleLRConf attribute)
eps (power_cogs.config.torch.torch_config.AdamConf attribute)
(power_cogs.config.torch.torch_config.ReduceLROnPlateauConf attribute)
eta_min (power_cogs.config.torch.torch_config.CosineAnnealingLRConf attribute)
(power_cogs.config.torch.torch_config.CosineAnnealingWarmRestartsConf attribute)
ExponentialLRConf (class in power_cogs.config.torch.torch_config)
F
factor (power_cogs.config.torch.torch_config.ReduceLROnPlateauConf attribute)
final_div_factor (power_cogs.config.torch.torch_config.OneCycleLRConf attribute)
forward() (power_cogs.model.mnist_model.MNISTModel method)
from_config() (power_cogs.base.base_torch_trainer.BaseTorchTrainer class method)
(power_cogs.base.BaseTorchTrainer class method)
G
gamma (power_cogs.config.torch.torch_config.CyclicLRConf attribute)
(power_cogs.config.torch.torch_config.ExponentialLRConf attribute)
(power_cogs.config.torch.torch_config.MultiStepLRConf attribute)
(power_cogs.config.torch.torch_config.StepLRConf attribute)
generator (power_cogs.config.torch.torch_config.DataLoaderConf attribute)
H
power_cogs (module)
power_cogs.base (module)
power_cogs.base.base_torch_dataset (module)
power_cogs.base.base_torch_model (module)
power_cogs.base.base_torch_trainer (module)
power_cogs.config (module)
power_cogs.config.base (module)
power_cogs.config.base.base_config (module)
power_cogs.config.config (module)
power_cogs.config.config_utils (module)
power_cogs.config.load_config (module)
power_cogs.config.mnist_config (module)
power_cogs.config.torch (module)
power_cogs.config.torch.torch_config (module)
power_cogs.config.tune (module)
power_cogs.config.tune.tune_config (module)
power_cogs.dataset (module)
power_cogs.dataset.mnist_dataset (module)
power_cogs.model (module)
power_cogs.model.mnist_model (module)
power_cogs.trainer (module)
power_cogs.trainer.mnist_trainer (module)
power_cogs.tune (module)
power_cogs.tune.tune_wrapper (module)
power_cogs.utils (module)
power_cogs.utils.logging (module)
power_cogs.utils.torch_utils (module)
power_cogs.utils.utils (module)
I
indices (power_cogs.config.torch.torch_config.SubsetConf attribute)
input_dims (power_cogs.config.mnist_config.MNISTModelConfig attribute)
IterableDatasetConf (class in power_cogs.config.torch.torch_config)
L
LambdaLRConf (class in power_cogs.config.torch.torch_config)
last_epoch (power_cogs.config.torch.torch_config.CosineAnnealingLRConf attribute)
(power_cogs.config.torch.torch_config.CosineAnnealingWarmRestartsConf attribute)
(power_cogs.config.torch.torch_config.CyclicLRConf attribute)
(power_cogs.config.torch.torch_config.ExponentialLRConf attribute)
(power_cogs.config.torch.torch_config.LambdaLRConf attribute)
(power_cogs.config.torch.torch_config.MultiStepLRConf attribute)
(power_cogs.config.torch.torch_config.MultiplicativeLRConf attribute)
(power_cogs.config.torch.torch_config.OneCycleLRConf attribute)
(power_cogs.config.torch.torch_config.StepLRConf attribute)
load() (power_cogs.base.base_torch_trainer.BaseTorchTrainer method)
(power_cogs.base.BaseTorchTrainer method)
load_checkpoint() (power_cogs.tune.tune_wrapper.TuneTrainer method)
load_config() (in module power_cogs.config)
load_model() (power_cogs.base.base_torch_trainer.BaseTorchTrainer method)
(power_cogs.base.BaseTorchTrainer method)
log_epoch() (power_cogs.base.base_torch_trainer.BaseTorchTrainer method)
(power_cogs.base.BaseTorchTrainer method)
log_scalar() (power_cogs.utils.logging.TensorboardLogger method)
log_text() (power_cogs.utils.logging.TensorboardLogger method)
logging_config (power_cogs.config.base.base_config.BaseTrainerConfig attribute)
(power_cogs.config.base.BaseTrainerConfig attribute)
loss_threshold (power_cogs.config.base.base_config.BaseTrainerConfig attribute)
(power_cogs.config.base.BaseTrainerConfig attribute)
lr (power_cogs.config.torch.torch_config.AdamConf attribute)
lr_lambda (power_cogs.config.torch.torch_config.LambdaLRConf attribute)
(power_cogs.config.torch.torch_config.MultiplicativeLRConf attribute)
M
make_checkpoint() (power_cogs.base.base_torch_trainer.BaseTorchTrainer method)
(power_cogs.base.BaseTorchTrainer method)
make_trainer_defaults() (in module power_cogs.config.base)
(in module power_cogs.config.base.base_config)
makedirs() (in module power_cogs.utils.utils)
max_lr (power_cogs.config.torch.torch_config.CyclicLRConf attribute)
(power_cogs.config.torch.torch_config.OneCycleLRConf attribute)
max_momentum (power_cogs.config.torch.torch_config.CyclicLRConf attribute)
(power_cogs.config.torch.torch_config.OneCycleLRConf attribute)
metric (power_cogs.config.tune.tune_config.TuneConfig attribute)
milestones (power_cogs.config.torch.torch_config.MultiStepLRConf attribute)
min_lr (power_cogs.config.torch.torch_config.ReduceLROnPlateauConf attribute)
MNISTConfig (class in power_cogs.config.mnist_config)
MNISTDataset (class in power_cogs.dataset.mnist_dataset)
MNISTDatasetConfig (class in power_cogs.config.mnist_config)
MNISTModel (class in power_cogs.model.mnist_model)
MNISTModelConfig (class in power_cogs.config.mnist_config)
MNISTTrainer (class in power_cogs.trainer.mnist_trainer)
MNISTTrainerConfig (class in power_cogs.config.mnist_config)
mode (power_cogs.config.torch.torch_config.CyclicLRConf attribute)
(power_cogs.config.torch.torch_config.ReduceLROnPlateauConf attribute)
(power_cogs.config.tune.tune_config.TuneConfig attribute)
model_config (power_cogs.config.base.base_config.BaseTrainerConfig attribute)
(power_cogs.config.base.BaseTrainerConfig attribute)
MultiplicativeLRConf (class in power_cogs.config.torch.torch_config)
multiprocessing_context (power_cogs.config.torch.torch_config.DataLoaderConf attribute)
MultiStepLRConf (class in power_cogs.config.torch.torch_config)
N
name (power_cogs.config.base.base_config.BaseTrainerConfig attribute)
(power_cogs.config.base.BaseTrainerConfig attribute)
(power_cogs.config.tune.tune_config.TuneConfig attribute)
normal_std (power_cogs.config.mnist_config.MNISTModelConfig attribute)
num_samples (power_cogs.config.base.base_config.BaseTrainerConfig attribute)
(power_cogs.config.base.BaseTrainerConfig attribute)
(power_cogs.config.tune.tune_config.TuneConfig attribute)
num_workers (power_cogs.config.torch.torch_config.DataLoaderConf attribute)
O
on_trial_save() (power_cogs.tune.tune_wrapper.CustomMLflowLoggerCallback method)
OneCycleLRConf (class in power_cogs.config.torch.torch_config)
optimizer (power_cogs.config.torch.torch_config.CosineAnnealingLRConf attribute)
(power_cogs.config.torch.torch_config.CosineAnnealingWarmRestartsConf attribute)
(power_cogs.config.torch.torch_config.CyclicLRConf attribute)
(power_cogs.config.torch.torch_config.ExponentialLRConf attribute)
(power_cogs.config.torch.torch_config.LambdaLRConf attribute)
(power_cogs.config.torch.torch_config.MultiStepLRConf attribute)
(power_cogs.config.torch.torch_config.MultiplicativeLRConf attribute)
(power_cogs.config.torch.torch_config.OneCycleLRConf attribute)
(power_cogs.config.torch.torch_config.ReduceLROnPlateauConf attribute)
(power_cogs.config.torch.torch_config.StepLRConf attribute)
optimizer_config (power_cogs.config.base.base_config.BaseTrainerConfig attribute)
(power_cogs.config.base.BaseTrainerConfig attribute)
output_activation (power_cogs.config.mnist_config.MNISTModelConfig attribute)
output_dims (power_cogs.config.mnist_config.MNISTModelConfig attribute)
P
params (power_cogs.config.torch.torch_config.AdamConf attribute)
patience (power_cogs.config.torch.torch_config.ReduceLROnPlateauConf attribute)
pct_start (power_cogs.config.torch.torch_config.OneCycleLRConf attribute)
pin_memory (power_cogs.config.torch.torch_config.DataLoaderConf attribute)
post_dataset_setup() (power_cogs.base.base_torch_trainer.BaseTorchTrainer method)
(power_cogs.base.BaseTorchTrainer method)
(power_cogs.trainer.mnist_trainer.MNISTTrainer method)
post_model_setup() (power_cogs.base.base_torch_trainer.BaseTorchTrainer method)
(power_cogs.base.BaseTorchTrainer method)
post_optimizer_setup() (power_cogs.base.base_torch_trainer.BaseTorchTrainer method)
(power_cogs.base.BaseTorchTrainer method)
post_setup() (power_cogs.base.base_torch_trainer.BaseTorchTrainer method)
(power_cogs.base.BaseTorchTrainer method)
post_train() (power_cogs.base.base_torch_trainer.BaseTorchTrainer method)
(power_cogs.base.BaseTorchTrainer method)
post_train_iter() (power_cogs.base.base_torch_trainer.BaseTorchTrainer method)
(power_cogs.base.BaseTorchTrainer method)
pre_dataset_setup() (power_cogs.base.base_torch_trainer.BaseTorchTrainer method)
(power_cogs.base.BaseTorchTrainer method)
pre_model_setup() (power_cogs.base.base_torch_trainer.BaseTorchTrainer method)
(power_cogs.base.BaseTorchTrainer method)
pre_optimizer_setup() (power_cogs.base.base_torch_trainer.BaseTorchTrainer method)
(power_cogs.base.BaseTorchTrainer method)
pre_train() (power_cogs.base.base_torch_trainer.BaseTorchTrainer method)
(power_cogs.base.BaseTorchTrainer method)
pre_train_iter() (power_cogs.base.base_torch_trainer.BaseTorchTrainer method)
(power_cogs.base.BaseTorchTrainer method)
pretrained_path (power_cogs.config.base.base_config.BaseTrainerConfig attribute)
(power_cogs.config.base.BaseTrainerConfig attribute)
R
ReduceLROnPlateauConf (class in power_cogs.config.torch.torch_config)
S
safe() (in module power_cogs.utils.logging)
sample() (power_cogs.base.base_torch_dataset.BaseTorchDataset method)
(power_cogs.base.BaseTorchDataset method)
sampler (power_cogs.config.torch.torch_config.DataLoaderConf attribute)
save() (power_cogs.base.base_torch_trainer.BaseTorchTrainer method)
(power_cogs.base.BaseTorchTrainer method)
save_checkpoint() (power_cogs.tune.tune_wrapper.TuneTrainer method)
save_config() (power_cogs.base.base_torch_trainer.BaseTorchTrainer method)
(power_cogs.base.BaseTorchTrainer method)
scale_fn (power_cogs.config.torch.torch_config.CyclicLRConf attribute)
scale_mode (power_cogs.config.torch.torch_config.CyclicLRConf attribute)
scheduler_config (power_cogs.config.base.base_config.BaseTrainerConfig attribute)
(power_cogs.config.base.BaseTrainerConfig attribute)
setup() (power_cogs.base.base_torch_trainer.BaseTorchTrainer method)
(power_cogs.base.BaseTorchTrainer method)
(power_cogs.tune.tune_wrapper.TuneTrainer method)
setup_config() (in module power_cogs.config)
(in module power_cogs.config.config_utils)
setup_dataloader() (power_cogs.base.base_torch_trainer.BaseTorchTrainer method)
(power_cogs.base.BaseTorchTrainer method)
setup_dataset() (power_cogs.base.base_torch_trainer.BaseTorchTrainer method)
(power_cogs.base.BaseTorchTrainer method)
setup_device() (power_cogs.base.base_torch_trainer.BaseTorchTrainer method)
(power_cogs.base.BaseTorchTrainer method)
setup_logging_and_checkpoints() (power_cogs.base.base_torch_trainer.BaseTorchTrainer method)
(power_cogs.base.BaseTorchTrainer method)
setup_model() (power_cogs.base.base_torch_trainer.BaseTorchTrainer method)
(power_cogs.base.BaseTorchTrainer method)
setup_optimizer() (power_cogs.base.base_torch_trainer.BaseTorchTrainer method)
(power_cogs.base.BaseTorchTrainer method)
setup_tensorboard() (power_cogs.utils.logging.TensorboardLogger method)
setup_trainer() (power_cogs.base.base_torch_trainer.BaseTorchTrainer method)
(power_cogs.base.BaseTorchTrainer method)
shuffle (power_cogs.config.torch.torch_config.DataLoaderConf attribute)
step() (power_cogs.tune.tune_wrapper.TuneTrainer method)
step_size (power_cogs.config.torch.torch_config.StepLRConf attribute)
step_size_down (power_cogs.config.torch.torch_config.CyclicLRConf attribute)
step_size_up (power_cogs.config.torch.torch_config.CyclicLRConf attribute)
StepLRConf (class in power_cogs.config.torch.torch_config)
steps_per_epoch (power_cogs.config.torch.torch_config.OneCycleLRConf attribute)
SubsetConf (class in power_cogs.config.torch.torch_config)
summary() (power_cogs.base.base_torch_model.BaseTorchModel method)
(power_cogs.base.BaseTorchModel method)
T
T_0 (power_cogs.config.torch.torch_config.CosineAnnealingWarmRestartsConf attribute)
T_max (power_cogs.config.torch.torch_config.CosineAnnealingLRConf attribute)
T_mult (power_cogs.config.torch.torch_config.CosineAnnealingWarmRestartsConf attribute)
tensorboard() (in module power_cogs.utils.logging)
tensorboard_log_path (power_cogs.config.base.base_config.BaseLoggingConfig attribute)
(power_cogs.config.base.BaseLoggingConfig attribute)
TensorboardLogger (class in power_cogs.utils.logging)
TensorDatasetConf (class in power_cogs.config.torch.torch_config)
tensors (power_cogs.config.torch.torch_config.TensorDatasetConf attribute)
threshold (power_cogs.config.torch.torch_config.ReduceLROnPlateauConf attribute)
threshold_mode (power_cogs.config.torch.torch_config.ReduceLROnPlateauConf attribute)
timeout (power_cogs.config.torch.torch_config.DataLoaderConf attribute)
to_device() (power_cogs.base.base_torch_dataset.BaseTorchDataset method)
(power_cogs.base.BaseTorchDataset method)
(power_cogs.base.BaseTorchTrainer method)
(power_cogs.base.base_torch_trainer.BaseTorchTrainer method)
(power_cogs.dataset.mnist_dataset.MNISTDataset method)
total_steps (power_cogs.config.torch.torch_config.OneCycleLRConf attribute)
train() (power_cogs.base.base_torch_trainer.BaseTorchTrainer method)
(power_cogs.base.BaseTorchTrainer method)
train_iter() (power_cogs.base.base_torch_trainer.BaseTorchTrainer method)
(power_cogs.base.BaseTorchTrainer method)
(power_cogs.trainer.mnist_trainer.MNISTTrainer method)
trainer (power_cogs.config.base.base_config.Config attribute)
(power_cogs.config.base.Config attribute)
(power_cogs.config.mnist_config.MNISTConfig attribute)
tune() (power_cogs.base.base_torch_trainer.BaseTorchTrainer method)
(power_cogs.base.BaseTorchTrainer method)
(power_cogs.tune.tune_wrapper.TuneWrapper method)
tune_config (power_cogs.config.base.base_config.BaseTrainerConfig attribute)
(power_cogs.config.base.BaseTrainerConfig attribute)
TuneConfig (class in power_cogs.config.tune.tune_config)
TuneTrainer (class in power_cogs.tune.tune_wrapper)
TuneWrapper (class in power_cogs.tune.tune_wrapper)
U
use_cuda (power_cogs.config.base.base_config.BaseTrainerConfig attribute)
(power_cogs.config.base.BaseTrainerConfig attribute)
use_normal_init (power_cogs.config.mnist_config.MNISTModelConfig attribute)
V
verbose (power_cogs.config.torch.torch_config.ReduceLROnPlateauConf attribute)
verify_config_dict() (in module power_cogs.config.config_utils)
visualize() (power_cogs.base.base_torch_trainer.BaseTorchTrainer method)
(power_cogs.base.BaseTorchTrainer method)
visualize_output (power_cogs.config.base.base_config.BaseTrainerConfig attribute)
(power_cogs.config.base.BaseTrainerConfig attribute)
W
weight_decay (power_cogs.config.torch.torch_config.AdamConf attribute)
worker_init_fn (power_cogs.config.torch.torch_config.DataLoaderConf attribute)
Z
zero_bias (power_cogs.config.mnist_config.MNISTModelConfig attribute)
power_cogs
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