torchbearer
0.3.1
Notes
Using the Metric API
Default Keys
Metric Decorators
Lambda Metrics
Metric Output - to_dict
Data Flow - The Metric Tree
Serializing a Trial
Setting up a Mock Example
Reloading the Trial for More Epochs
Trying to Reload to a PyTorch Module
Robust Signature for Module
Source Code
Using the Tensorboard Callback
Setup
Logging the Model Graph
Logging Batch Metrics
Logging Epoch Metrics
Source Code
Logging to Visdom
Model Setup
Logging Epoch and Batch Metrics
Visdom Client Parameters
Source Code
Deep Learning
Quickstart Guide
Defining the Model
Training on Cifar10
Source Code
Training a Variational Auto-Encoder
Defining the Model
Defining the Data
Defining the Loss
PyTorch method
Using Torchbearer State
Visualising Results
Training the Model
Source Code
Training a GAN
Data and Constants
Model
Loss
Metrics
Closures
Training
Visualising
Source Code
Visualising CNNs: The Class Appearance Model
Background
Loading the Model
Running with the Callback
Results
Source Code
Differentiable Programming
Optimising functions
The Model
The Loss
Optimising
Viewing Progress
Source Code
Linear Support Vector Machine (SVM)
SVM Recap
Defining the Model
Creating Synthetic Data
Subgradient Descent
Visualizing the Training
Final Comments
Source Code
Breaking ADAM
Online Optimization
Stochastic Optimization
Conclusions
Source Code
Package Reference
torchbearer
Trial
State
Utilities
torchbearer.callbacks
Base Classes
Imaging
Main Classes
Deep Inside Convolutional Networks
Model Checkpointers
Logging
Tensorboard, Visdom and Others
Early Stopping
Gradient Clipping
Learning Rate Schedulers
Learning Rate Finders
Weight Decay
Weight / Bias Initialisation
Decorators
torchbearer.metrics
Base Classes
Decorators - The Decorator API
Metric Wrappers
Metric Aggregators
Base Metrics
Timer
torchbearer.variational
Distributions
Divergences
Auto-Encoding
Datasets
Visualisation
torchbearer
Docs
»
Index
Edit on GitHub
Index
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G
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H
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I
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M
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P
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T
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V
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W
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X
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Y
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Z
A
AbstractTensorBoard (class in torchbearer.callbacks.tensor_board)
add_child() (torchbearer.metrics.metrics.MetricTree method)
add_default() (in module torchbearer.metrics.metrics)
add_param_group() (torchbearer.trial.MockOptimizer method)
add_to_loss() (in module torchbearer.callbacks.decorators)
AdvancedMetric (class in torchbearer.metrics.metrics)
append() (torchbearer.callbacks.callbacks.CallbackList method)
(torchbearer.trial.CallbackListInjection method)
arg_constraints (torchbearer.variational.distributions.SimpleDistribution attribute)
AutoEncoderBase (class in torchbearer.variational.auto_encoder)
B
BACKWARD_ARGS (in module torchbearer.state)
BATCH (in module torchbearer.state)
BatchLambda (class in torchbearer.metrics.wrappers)
Best (class in torchbearer.callbacks.checkpointers)
BinaryAccuracy (class in torchbearer.metrics.primitives)
bind_to() (in module torchbearer.callbacks.decorators)
C
CachingImagingCallback (class in torchbearer.callbacks.imaging.imaging)
Callback (class in torchbearer.bases)
CALLBACK_LIST (in module torchbearer.state)
CALLBACK_STATES (torchbearer.callbacks.callbacks.CallbackList attribute)
CALLBACK_TYPES (torchbearer.callbacks.callbacks.CallbackList attribute)
CallbackList (class in torchbearer.callbacks.callbacks)
CallbackListInjection (class in torchbearer.trial)
CategoricalAccuracy (class in torchbearer.metrics.primitives)
cdf() (torchbearer.variational.distributions.SimpleDistribution method)
CelebA (class in torchbearer.variational.datasets)
CelebA_HQ (class in torchbearer.variational.datasets)
ClassAppearanceModel (class in torchbearer.callbacks.imaging.inside_cnns)
close_writer() (in module torchbearer.callbacks.tensor_board)
(torchbearer.callbacks.tensor_board.AbstractTensorBoard method)
CodePathWalker (class in torchbearer.variational.visualisation)
compute() (torchbearer.variational.divergence.DivergenceBase method)
(torchbearer.variational.divergence.SimpleExponentialSimpleExponentialKL method)
(torchbearer.variational.divergence.SimpleNormalSimpleNormalKL method)
(torchbearer.variational.divergence.SimpleNormalUnitNormalKL method)
(torchbearer.variational.divergence.SimpleWeibullSimpleWeibullKL method)
ConsolePrinter (class in torchbearer.callbacks.printer)
copy() (torchbearer.callbacks.callbacks.CallbackList method)
(torchbearer.trial.CallbackListInjection method)
CosineAnnealingLR (class in torchbearer.callbacks.torch_scheduler)
count_args() (in module torchbearer.callbacks.decorators)
cpu() (torchbearer.trial.Trial method)
CRITERION (in module torchbearer.state)
CSVLogger (class in torchbearer.callbacks.csv_logger)
cuda() (torchbearer.trial.Trial method)
CyclicLR (class in torchbearer.callbacks.lr_finder)
D
DATA (in module torchbearer.state)
data (torchbearer.state.State attribute)
DATA_TYPE (in module torchbearer.state)
DatasetValidationSplitter (class in torchbearer.cv_utils)
decode() (torchbearer.variational.auto_encoder.AutoEncoderBase method)
deep_to() (in module torchbearer.trial)
default_for_key() (in module torchbearer.metrics.decorators)
DefaultAccuracy (class in torchbearer.metrics.default)
DEVICE (in module torchbearer.state)
DivergenceBase (class in torchbearer.variational.divergence)
download() (torchbearer.variational.datasets.dSprites method)
dSprites (class in torchbearer.variational.datasets)
E
EarlyStopping (class in torchbearer.callbacks.early_stopping)
encode() (torchbearer.variational.auto_encoder.AutoEncoderBase method)
ENDPOINT (torchbearer.callbacks.tensor_board.VisdomParams attribute)
entropy() (torchbearer.variational.distributions.SimpleDistribution method)
enumerate_support() (torchbearer.variational.distributions.SimpleDistribution method)
ENV (torchbearer.callbacks.tensor_board.VisdomParams attribute)
Epoch (class in torchbearer.metrics.primitives)
EPOCH (in module torchbearer.state)
EpochLambda (class in torchbearer.metrics.wrappers)
eval() (torchbearer.bases.Metric method)
(torchbearer.metrics.default.DefaultAccuracy method)
(torchbearer.metrics.metrics.AdvancedMetric method)
(torchbearer.metrics.metrics.MetricList method)
(torchbearer.metrics.metrics.MetricTree method)
(torchbearer.metrics.wrappers.ToDict method)
(torchbearer.trial.Trial method)
evaluate() (torchbearer.trial.Trial method)
expand() (torchbearer.variational.distributions.SimpleDistribution method)
ExponentialLR (class in torchbearer.callbacks.torch_scheduler)
F
FINAL_PREDICTIONS (in module torchbearer.state)
for_data() (torchbearer.variational.visualisation.LatentWalker method)
for_inf_steps() (torchbearer.trial.Trial method)
for_inf_test_steps() (torchbearer.trial.Trial method)
for_inf_train_steps() (torchbearer.trial.Trial method)
for_inf_val_steps() (torchbearer.trial.Trial method)
for_space() (torchbearer.variational.visualisation.LatentWalker method)
for_steps() (torchbearer.trial.Trial method)
for_test_steps() (torchbearer.trial.Trial method)
for_train_steps() (torchbearer.trial.Trial method)
for_val_steps() (torchbearer.trial.Trial method)
forward() (torchbearer.variational.auto_encoder.AutoEncoderBase method)
FromState (class in torchbearer.callbacks.imaging.imaging)
G
GENERATOR (in module torchbearer.state)
get_default() (in module torchbearer.metrics.metrics)
(in module torchbearer.trial)
get_img_by_latent() (torchbearer.variational.datasets.dSprites method)
get_key() (torchbearer.state.State method)
get_printer() (in module torchbearer.trial)
get_timings() (torchbearer.metrics.timer.TimerMetric method)
get_train_dataset() (torchbearer.cv_utils.DatasetValidationSplitter method)
get_train_valid_sets() (in module torchbearer.cv_utils)
get_val_dataset() (torchbearer.cv_utils.DatasetValidationSplitter method)
get_writer() (in module torchbearer.callbacks.tensor_board)
(torchbearer.callbacks.tensor_board.AbstractTensorBoard method)
GradientClipping (class in torchbearer.callbacks.gradient_clipping)
GradientNormClipping (class in torchbearer.callbacks.gradient_clipping)
H
has_rsample (torchbearer.variational.distributions.SimpleDistribution attribute)
HISTORY (in module torchbearer.state)
HTTP_PROXY_HOST (torchbearer.callbacks.tensor_board.VisdomParams attribute)
HTTP_PROXY_PORT (torchbearer.callbacks.tensor_board.VisdomParams attribute)
I
icdf() (torchbearer.variational.distributions.SimpleDistribution method)
ImagePathWalker (class in torchbearer.variational.visualisation)
ImagingCallback (class in torchbearer.callbacks.imaging.imaging)
INF_TRAIN_LOADING (in module torchbearer.state)
inject_callback() (in module torchbearer.trial)
inject_printer() (in module torchbearer.trial)
inject_sampler() (in module torchbearer.trial)
INPUT (in module torchbearer.state)
Interval (class in torchbearer.callbacks.checkpointers)
IPV6 (torchbearer.callbacks.tensor_board.VisdomParams attribute)
ITERATOR (in module torchbearer.state)
K
KaimingNormal (class in torchbearer.callbacks.init)
KaimingUniform (class in torchbearer.callbacks.init)
L
L1WeightDecay (class in torchbearer.callbacks.weight_decay)
L2WeightDecay (class in torchbearer.callbacks.weight_decay)
lambda_metric() (in module torchbearer.metrics.decorators)
LambdaCallback (class in torchbearer.callbacks.decorators)
LambdaLR (class in torchbearer.callbacks.torch_scheduler)
LatentWalker (class in torchbearer.variational.visualisation)
LinSpaceWalker (class in torchbearer.variational.visualisation)
LiveLossPlot (class in torchbearer.callbacks.live_loss_plot)
load_batch_infinite() (in module torchbearer.trial)
load_batch_none() (in module torchbearer.trial)
load_batch_predict() (in module torchbearer.trial)
load_batch_standard() (in module torchbearer.trial)
load_data() (torchbearer.variational.datasets.dSprites method)
load_state_dict() (torchbearer.bases.Callback method)
(torchbearer.callbacks.callbacks.CallbackList method)
(torchbearer.callbacks.checkpointers.Best method)
(torchbearer.callbacks.checkpointers.Interval method)
(torchbearer.callbacks.early_stopping.EarlyStopping method)
(torchbearer.trial.CallbackListInjection method)
(torchbearer.trial.MockOptimizer method)
(torchbearer.trial.Trial method)
log_prob() (torchbearer.variational.distributions.SimpleDistribution method)
(torchbearer.variational.distributions.SimpleExponential method)
(torchbearer.variational.distributions.SimpleNormal method)
(torchbearer.variational.distributions.SimpleUniform method)
(torchbearer.variational.distributions.SimpleWeibull method)
LOG_TO_FILENAME (torchbearer.callbacks.tensor_board.VisdomParams attribute)
Loss (class in torchbearer.metrics.primitives)
LOSS (in module torchbearer.state)
loss() (torchbearer.variational.divergence.DivergenceBase method)
LsuvInit (class in torchbearer.callbacks.init)
M
make_dataset() (in module torchbearer.variational.datasets)
MakeGrid (class in torchbearer.callbacks.imaging.imaging)
MAX_EPOCHS (in module torchbearer.state)
Mean (class in torchbearer.metrics.aggregators)
mean (torchbearer.variational.distributions.SimpleDistribution attribute)
mean() (in module torchbearer.metrics.decorators)
MeanSquaredError (class in torchbearer.metrics.primitives)
Metric (class in torchbearer.bases)
METRIC_LIST (in module torchbearer.state)
MetricList (class in torchbearer.metrics.metrics)
METRICS (in module torchbearer.state)
MetricTree (class in torchbearer.metrics.metrics)
MockOptimizer (class in torchbearer.trial)
MODEL (in module torchbearer.state)
ModelCheckpoint() (in module torchbearer.callbacks.checkpointers)
MostRecent (class in torchbearer.callbacks.checkpointers)
MultiStepLR (class in torchbearer.callbacks.torch_scheduler)
N
next_lr() (torchbearer.callbacks.lr_finder.CyclicLR method)
npy_loader() (torchbearer.variational.datasets.CelebA_HQ static method)
O
on_backward() (in module torchbearer.callbacks.decorators)
(torchbearer.bases.Callback method)
(torchbearer.callbacks.callbacks.CallbackList method)
(torchbearer.callbacks.gradient_clipping.GradientClipping method)
(torchbearer.callbacks.gradient_clipping.GradientNormClipping method)
(torchbearer.metrics.timer.TimerMetric method)
on_batch() (torchbearer.callbacks.imaging.imaging.CachingImagingCallback method)
(torchbearer.callbacks.imaging.imaging.FromState method)
(torchbearer.callbacks.imaging.imaging.ImagingCallback method)
(torchbearer.callbacks.imaging.inside_cnns.ClassAppearanceModel method)
on_cache() (torchbearer.callbacks.imaging.imaging.CachingImagingCallback method)
(torchbearer.callbacks.imaging.imaging.MakeGrid method)
on_checkpoint() (in module torchbearer.callbacks.decorators)
(torchbearer.bases.Callback method)
(torchbearer.callbacks.callbacks.CallbackList method)
(torchbearer.callbacks.checkpointers.Best method)
(torchbearer.callbacks.checkpointers.Interval method)
(torchbearer.callbacks.checkpointers.MostRecent method)
on_criterion() (in module torchbearer.callbacks.decorators)
(torchbearer.bases.Callback method)
(torchbearer.callbacks.callbacks.CallbackList method)
(torchbearer.callbacks.weight_decay.WeightDecay method)
(torchbearer.metrics.timer.TimerMetric method)
(torchbearer.variational.divergence.DivergenceBase method)
on_criterion_validation() (in module torchbearer.callbacks.decorators)
(torchbearer.bases.Callback method)
(torchbearer.callbacks.callbacks.CallbackList method)
(torchbearer.metrics.timer.TimerMetric method)
(torchbearer.variational.divergence.DivergenceBase method)
on_end() (in module torchbearer.callbacks.decorators)
(torchbearer.bases.Callback method)
(torchbearer.callbacks.callbacks.CallbackList method)
(torchbearer.callbacks.csv_logger.CSVLogger method)
(torchbearer.callbacks.early_stopping.EarlyStopping method)
(torchbearer.callbacks.live_loss_plot.LiveLossPlot method)
(torchbearer.callbacks.printer.Tqdm method)
(torchbearer.callbacks.tensor_board.AbstractTensorBoard method)
(torchbearer.callbacks.tensor_board.TensorBoard method)
(torchbearer.callbacks.tensor_board.TensorBoardText method)
(torchbearer.metrics.timer.TimerMetric method)
on_end_epoch() (in module torchbearer.callbacks.decorators)
(torchbearer.bases.Callback method)
(torchbearer.callbacks.callbacks.CallbackList method)
(torchbearer.callbacks.csv_logger.CSVLogger method)
(torchbearer.callbacks.early_stopping.EarlyStopping method)
(torchbearer.callbacks.imaging.imaging.CachingImagingCallback method)
(torchbearer.callbacks.printer.Tqdm method)
(torchbearer.callbacks.tensor_board.TensorBoard method)
(torchbearer.callbacks.tensor_board.TensorBoardImages method)
(torchbearer.callbacks.tensor_board.TensorBoardProjector method)
(torchbearer.callbacks.tensor_board.TensorBoardText method)
(torchbearer.callbacks.terminate_on_nan.TerminateOnNaN method)
(torchbearer.callbacks.torch_scheduler.TorchScheduler method)
(torchbearer.metrics.timer.TimerMetric method)
on_end_training() (in module torchbearer.callbacks.decorators)
(torchbearer.bases.Callback method)
(torchbearer.callbacks.callbacks.CallbackList method)
(torchbearer.callbacks.printer.ConsolePrinter method)
(torchbearer.callbacks.printer.Tqdm method)
(torchbearer.metrics.timer.TimerMetric method)
on_end_validation() (in module torchbearer.callbacks.decorators)
(torchbearer.bases.Callback method)
(torchbearer.callbacks.callbacks.CallbackList method)
(torchbearer.callbacks.printer.ConsolePrinter method)
(torchbearer.callbacks.printer.Tqdm method)
(torchbearer.metrics.timer.TimerMetric method)
on_forward() (in module torchbearer.callbacks.decorators)
(torchbearer.bases.Callback method)
(torchbearer.callbacks.callbacks.CallbackList method)
(torchbearer.metrics.timer.TimerMetric method)
on_forward_validation() (in module torchbearer.callbacks.decorators)
(torchbearer.bases.Callback method)
(torchbearer.callbacks.callbacks.CallbackList method)
(torchbearer.metrics.timer.TimerMetric method)
on_init() (torchbearer.bases.Callback method)
(torchbearer.callbacks.callbacks.CallbackList method)
(torchbearer.callbacks.init.LsuvInit method)
(torchbearer.callbacks.init.WeightInit method)
on_lambda() (torchbearer.callbacks.decorators.LambdaCallback method)
on_sample() (in module torchbearer.callbacks.decorators)
(torchbearer.bases.Callback method)
(torchbearer.callbacks.callbacks.CallbackList method)
(torchbearer.callbacks.lr_finder.CyclicLR method)
(torchbearer.callbacks.tensor_board.TensorBoard method)
(torchbearer.callbacks.torch_scheduler.TorchScheduler method)
(torchbearer.metrics.timer.TimerMetric method)
on_sample_validation() (in module torchbearer.callbacks.decorators)
(torchbearer.bases.Callback method)
(torchbearer.callbacks.callbacks.CallbackList method)
(torchbearer.metrics.timer.TimerMetric method)
on_start() (in module torchbearer.callbacks.decorators)
(torchbearer.bases.Callback method)
(torchbearer.callbacks.callbacks.CallbackList method)
(torchbearer.callbacks.checkpointers.Best method)
(torchbearer.callbacks.gradient_clipping.GradientClipping method)
(torchbearer.callbacks.gradient_clipping.GradientNormClipping method)
(torchbearer.callbacks.live_loss_plot.LiveLossPlot method)
(torchbearer.callbacks.lr_finder.CyclicLR method)
(torchbearer.callbacks.printer.Tqdm method)
(torchbearer.callbacks.tensor_board.AbstractTensorBoard method)
(torchbearer.callbacks.tensor_board.TensorBoardText method)
(torchbearer.callbacks.torch_scheduler.TorchScheduler method)
(torchbearer.callbacks.weight_decay.WeightDecay method)
(torchbearer.metrics.timer.TimerMetric method)
on_start_epoch() (in module torchbearer.callbacks.decorators)
(torchbearer.bases.Callback method)
(torchbearer.callbacks.callbacks.CallbackList method)
(torchbearer.callbacks.tensor_board.TensorBoard method)
(torchbearer.callbacks.tensor_board.TensorBoardText method)
(torchbearer.metrics.timer.TimerMetric method)
on_start_training() (in module torchbearer.callbacks.decorators)
(torchbearer.bases.Callback method)
(torchbearer.callbacks.callbacks.CallbackList method)
(torchbearer.callbacks.printer.Tqdm method)
(torchbearer.callbacks.torch_scheduler.TorchScheduler method)
(torchbearer.metrics.timer.TimerMetric method)
on_start_validation() (in module torchbearer.callbacks.decorators)
(torchbearer.bases.Callback method)
(torchbearer.callbacks.callbacks.CallbackList method)
(torchbearer.callbacks.printer.Tqdm method)
(torchbearer.metrics.timer.TimerMetric method)
on_step_training() (in module torchbearer.callbacks.decorators)
(torchbearer.bases.Callback method)
(torchbearer.callbacks.callbacks.CallbackList method)
(torchbearer.callbacks.csv_logger.CSVLogger method)
(torchbearer.callbacks.lr_finder.CyclicLR method)
(torchbearer.callbacks.printer.ConsolePrinter method)
(torchbearer.callbacks.printer.Tqdm method)
(torchbearer.callbacks.tensor_board.TensorBoard method)
(torchbearer.callbacks.tensor_board.TensorBoardText method)
(torchbearer.callbacks.terminate_on_nan.TerminateOnNaN method)
(torchbearer.callbacks.torch_scheduler.TorchScheduler method)
(torchbearer.metrics.timer.TimerMetric method)
on_step_validation() (in module torchbearer.callbacks.decorators)
(torchbearer.bases.Callback method)
(torchbearer.callbacks.callbacks.CallbackList method)
(torchbearer.callbacks.printer.ConsolePrinter method)
(torchbearer.callbacks.printer.Tqdm method)
(torchbearer.callbacks.tensor_board.TensorBoard method)
(torchbearer.callbacks.tensor_board.TensorBoardImages method)
(torchbearer.callbacks.tensor_board.TensorBoardProjector method)
(torchbearer.callbacks.terminate_on_nan.TerminateOnNaN method)
(torchbearer.metrics.timer.TimerMetric method)
on_test() (torchbearer.callbacks.imaging.imaging.ImagingCallback method)
on_train() (torchbearer.callbacks.imaging.imaging.ImagingCallback method)
(torchbearer.variational.visualisation.LatentWalker method)
on_val() (torchbearer.callbacks.imaging.imaging.ImagingCallback method)
(torchbearer.variational.visualisation.LatentWalker method)
once() (in module torchbearer.callbacks.decorators)
once_per_epoch() (in module torchbearer.callbacks.decorators)
only_if() (in module torchbearer.callbacks.decorators)
OPTIMIZER (in module torchbearer.state)
P
PORT (torchbearer.callbacks.tensor_board.VisdomParams attribute)
predict() (torchbearer.trial.Trial method)
PREDICTION (in module torchbearer.state)
process() (torchbearer.bases.Metric method)
(torchbearer.callbacks.imaging.imaging.ImagingCallback method)
(torchbearer.metrics.aggregators.Mean method)
(torchbearer.metrics.aggregators.Var method)
(torchbearer.metrics.default.DefaultAccuracy method)
(torchbearer.metrics.metrics.AdvancedMetric method)
(torchbearer.metrics.metrics.MetricList method)
(torchbearer.metrics.metrics.MetricTree method)
(torchbearer.metrics.timer.TimerMetric method)
(torchbearer.metrics.wrappers.BatchLambda method)
(torchbearer.state.StateKey method)
process_final() (torchbearer.bases.Metric method)
(torchbearer.metrics.aggregators.Mean method)
(torchbearer.metrics.aggregators.Std method)
(torchbearer.metrics.aggregators.Var method)
(torchbearer.metrics.default.DefaultAccuracy method)
(torchbearer.metrics.metrics.AdvancedMetric method)
(torchbearer.metrics.metrics.MetricList method)
(torchbearer.metrics.metrics.MetricTree method)
(torchbearer.state.StateKey method)
process_final_train() (torchbearer.metrics.metrics.AdvancedMetric method)
(torchbearer.metrics.wrappers.EpochLambda method)
(torchbearer.metrics.wrappers.ToDict method)
process_final_validate() (torchbearer.metrics.metrics.AdvancedMetric method)
(torchbearer.metrics.wrappers.EpochLambda method)
(torchbearer.metrics.wrappers.ToDict method)
process_train() (torchbearer.metrics.aggregators.RunningMetric method)
(torchbearer.metrics.metrics.AdvancedMetric method)
(torchbearer.metrics.wrappers.EpochLambda method)
(torchbearer.metrics.wrappers.ToDict method)
process_validate() (torchbearer.metrics.metrics.AdvancedMetric method)
(torchbearer.metrics.wrappers.EpochLambda method)
(torchbearer.metrics.wrappers.ToDict method)
R
RAISE_EXCEPTIONS (torchbearer.callbacks.tensor_board.VisdomParams attribute)
RandomWalker (class in torchbearer.variational.visualisation)
ReconstructionViewer (class in torchbearer.variational.visualisation)
ReduceLROnPlateau (class in torchbearer.callbacks.torch_scheduler)
replay() (torchbearer.trial.Trial method)
reset() (torchbearer.bases.Metric method)
(torchbearer.metrics.aggregators.Mean method)
(torchbearer.metrics.aggregators.RunningMetric method)
(torchbearer.metrics.aggregators.Var method)
(torchbearer.metrics.default.DefaultAccuracy method)
(torchbearer.metrics.metrics.MetricList method)
(torchbearer.metrics.metrics.MetricTree method)
(torchbearer.metrics.timer.TimerMetric method)
(torchbearer.metrics.wrappers.EpochLambda method)
(torchbearer.metrics.wrappers.ToDict method)
RocAucScore (class in torchbearer.metrics.roc_auc_score)
rsample() (torchbearer.variational.distributions.SimpleDistribution method)
(torchbearer.variational.distributions.SimpleExponential method)
(torchbearer.variational.distributions.SimpleNormal method)
(torchbearer.variational.distributions.SimpleUniform method)
(torchbearer.variational.distributions.SimpleWeibull method)
run() (torchbearer.trial.Trial method)
running_mean() (in module torchbearer.metrics.decorators)
RunningMean (class in torchbearer.metrics.aggregators)
RunningMetric (class in torchbearer.metrics.aggregators)
S
sample() (torchbearer.trial.Sampler method)
Sampler (class in torchbearer.trial)
SAMPLER (in module torchbearer.state)
SELF (in module torchbearer.state)
SEND (torchbearer.callbacks.tensor_board.VisdomParams attribute)
SERVER (torchbearer.callbacks.tensor_board.VisdomParams attribute)
SimpleDistribution (class in torchbearer.variational.distributions)
SimpleExponential (class in torchbearer.variational.distributions)
SimpleExponentialSimpleExponentialKL (class in torchbearer.variational.divergence)
SimpleImageFolder (class in torchbearer.variational.datasets)
SimpleNormal (class in torchbearer.variational.distributions)
SimpleNormalSimpleNormalKL (class in torchbearer.variational.divergence)
SimpleNormalUnitNormalKL (class in torchbearer.variational.divergence)
SimpleUniform (class in torchbearer.variational.distributions)
SimpleWeibull (class in torchbearer.variational.distributions)
SimpleWeibullSimpleWeibullKL (class in torchbearer.variational.divergence)
State (class in torchbearer.state)
state_dict() (torchbearer.bases.Callback method)
(torchbearer.callbacks.callbacks.CallbackList method)
(torchbearer.callbacks.checkpointers.Best method)
(torchbearer.callbacks.checkpointers.Interval method)
(torchbearer.callbacks.early_stopping.EarlyStopping method)
(torchbearer.trial.CallbackListInjection method)
(torchbearer.trial.MockOptimizer method)
(torchbearer.trial.Trial method)
state_key() (in module torchbearer.state)
StateKey (class in torchbearer.state)
Std (class in torchbearer.metrics.aggregators)
std() (in module torchbearer.metrics.decorators)
step() (torchbearer.trial.MockOptimizer method)
StepLR (class in torchbearer.callbacks.torch_scheduler)
STEPS (in module torchbearer.state)
STOP_TRAINING (in module torchbearer.state)
SubsetDataset (class in torchbearer.cv_utils)
support (torchbearer.variational.distributions.SimpleDistribution attribute)
T
table_formatter() (torchbearer.callbacks.tensor_board.TensorBoardText static method)
TARGET (in module torchbearer.state)
target_to_key() (torchbearer.callbacks.imaging.inside_cnns.ClassAppearanceModel method)
TensorBoard (class in torchbearer.callbacks.tensor_board)
TensorBoardImages (class in torchbearer.callbacks.tensor_board)
TensorBoardProjector (class in torchbearer.callbacks.tensor_board)
TensorBoardText (class in torchbearer.callbacks.tensor_board)
TerminateOnNaN (class in torchbearer.callbacks.terminate_on_nan)
TEST_DATA (in module torchbearer.state)
TEST_GENERATOR (in module torchbearer.state)
TEST_STEPS (in module torchbearer.state)
TimerMetric (class in torchbearer.metrics.timer)
TIMINGS (in module torchbearer.state)
to() (torchbearer.trial.Trial method)
to_dict() (in module torchbearer.metrics.decorators)
to_file() (torchbearer.callbacks.imaging.imaging.ImagingCallback method)
(torchbearer.variational.visualisation.LatentWalker method)
to_key() (torchbearer.variational.visualisation.LatentWalker method)
to_pyplot() (torchbearer.callbacks.imaging.imaging.ImagingCallback method)
to_state() (torchbearer.callbacks.imaging.imaging.ImagingCallback method)
to_tensorboard() (torchbearer.callbacks.imaging.imaging.ImagingCallback method)
to_visdom() (torchbearer.callbacks.imaging.imaging.ImagingCallback method)
ToDict (class in torchbearer.metrics.wrappers)
TopKCategoricalAccuracy (class in torchbearer.metrics.primitives)
torchbearer (module)
torchbearer.callbacks (module)
torchbearer.callbacks.callbacks (module)
torchbearer.callbacks.checkpointers (module)
torchbearer.callbacks.csv_logger (module)
torchbearer.callbacks.decorators (module)
torchbearer.callbacks.early_stopping (module)
torchbearer.callbacks.gradient_clipping (module)
torchbearer.callbacks.imaging (module)
torchbearer.callbacks.imaging.imaging (module)
torchbearer.callbacks.imaging.inside_cnns (module)
torchbearer.callbacks.init (module)
torchbearer.callbacks.lr_finder (module)
torchbearer.callbacks.printer (module)
torchbearer.callbacks.tensor_board (module)
torchbearer.callbacks.terminate_on_nan (module)
torchbearer.callbacks.torch_scheduler (module)
torchbearer.callbacks.weight_decay (module)
torchbearer.cv_utils (module)
torchbearer.metrics (module)
torchbearer.metrics.aggregators (module)
torchbearer.metrics.decorators (module)
torchbearer.metrics.default (module)
torchbearer.metrics.metrics (module)
torchbearer.metrics.primitives (module)
torchbearer.metrics.roc_auc_score (module)
torchbearer.metrics.timer (module)
torchbearer.metrics.wrappers (module)
torchbearer.state (module)
torchbearer.trial (module)
torchbearer.variational (module)
torchbearer.variational.auto_encoder (module)
torchbearer.variational.datasets (module)
torchbearer.variational.distributions (module)
torchbearer.variational.divergence (module)
torchbearer.variational.visualisation (module)
TorchScheduler (class in torchbearer.callbacks.torch_scheduler)
Tqdm (class in torchbearer.callbacks.printer)
train() (torchbearer.bases.Metric method)
(torchbearer.metrics.default.DefaultAccuracy method)
(torchbearer.metrics.metrics.AdvancedMetric method)
(torchbearer.metrics.metrics.MetricList method)
(torchbearer.metrics.metrics.MetricTree method)
(torchbearer.metrics.wrappers.ToDict method)
(torchbearer.trial.Trial method)
TRAIN_DATA (in module torchbearer.state)
TRAIN_GENERATOR (in module torchbearer.state)
TRAIN_STEPS (in module torchbearer.state)
train_valid_splitter() (in module torchbearer.cv_utils)
Trial (class in torchbearer.trial)
U
update() (torchbearer.state.State method)
update_device_and_dtype() (in module torchbearer.trial)
update_lrs() (torchbearer.callbacks.lr_finder.CyclicLR method)
update_time() (torchbearer.metrics.timer.TimerMetric method)
USE_INCOMING_SOCKET (torchbearer.callbacks.tensor_board.VisdomParams attribute)
V
VALIDATION_DATA (in module torchbearer.state)
VALIDATION_GENERATOR (in module torchbearer.state)
VALIDATION_STEPS (in module torchbearer.state)
Var (class in torchbearer.metrics.aggregators)
var() (in module torchbearer.metrics.decorators)
variance (torchbearer.variational.distributions.SimpleDistribution attribute)
VERSION (in module torchbearer.state)
vis() (torchbearer.variational.visualisation.CodePathWalker method)
(torchbearer.variational.visualisation.ImagePathWalker method)
(torchbearer.variational.visualisation.LatentWalker method)
(torchbearer.variational.visualisation.LinSpaceWalker method)
(torchbearer.variational.visualisation.RandomWalker method)
(torchbearer.variational.visualisation.ReconstructionViewer method)
VisdomParams (class in torchbearer.callbacks.tensor_board)
W
WeightDecay (class in torchbearer.callbacks.weight_decay)
WeightInit (class in torchbearer.callbacks.init)
with_beta() (torchbearer.variational.divergence.DivergenceBase method)
with_closure() (torchbearer.trial.Trial method)
with_generators() (torchbearer.trial.Trial method)
with_handler() (torchbearer.callbacks.imaging.imaging.ImagingCallback method)
with_inf_train_loader() (torchbearer.trial.Trial method)
with_linear_capacity() (torchbearer.variational.divergence.DivergenceBase method)
with_post_function() (torchbearer.variational.divergence.DivergenceBase method)
with_reduction() (torchbearer.variational.divergence.DivergenceBase method)
with_sum_mean_reduction() (torchbearer.variational.divergence.DivergenceBase method)
with_sum_sum_reduction() (torchbearer.variational.divergence.DivergenceBase method)
with_test_data() (torchbearer.trial.Trial method)
with_test_generator() (torchbearer.trial.Trial method)
with_train_data() (torchbearer.trial.Trial method)
with_train_generator() (torchbearer.trial.Trial method)
with_val_data() (torchbearer.trial.Trial method)
with_val_generator() (torchbearer.trial.Trial method)
X
X (in module torchbearer.state)
XavierNormal (class in torchbearer.callbacks.init)
XavierUniform (class in torchbearer.callbacks.init)
Y
Y_PRED (in module torchbearer.state)
Y_TRUE (in module torchbearer.state)
Z
zero_grad() (torchbearer.trial.MockOptimizer method)
ZeroBias (class in torchbearer.callbacks.init)
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