Index

_

__init__() (image_classification_tools.pytorch.data.DataLoaders method) (image_classification_tools.pytorch.data.DataPipeline method)

B

batch_size (image_classification_tools.pytorch.data.DataLoaders attribute), [1]

C

compute_dataset_stats() (image_classification_tools.pytorch.data.DataPipeline static method)

D

DataLoaders (class in image_classification_tools.pytorch.data)

DataPipeline (class in image_classification_tools.pytorch.data) device (image_classification_tools.pytorch.data.DataLoaders attribute), [1]

E

evaluate() (in module image_classification_tools.pytorch.training)

evaluate_model() (in module image_classification_tools.pytorch.evaluation), [1]

G

get_batch_sizes() (image_classification_tools.pytorch.data.DataLoaders method)

get_loaders() (image_classification_tools.pytorch.data.DataPipeline method)

I

image_classification_tools.pytorch.evaluation module

image_classification_tools.pytorch.training module

M

memory_estimate() (image_classification_tools.pytorch.data.DataLoaders method) module image_classification_tools.pytorch.evaluation image_classification_tools.pytorch.training

T

test (image_classification_tools.pytorch.data.DataLoaders attribute), [1] test_size (image_classification_tools.pytorch.data.DataLoaders attribute), [1] total_samples() (image_classification_tools.pytorch.data.DataLoaders method)

train (image_classification_tools.pytorch.data.DataLoaders attribute), [1] train_model() (in module image_classification_tools.pytorch.training), [1] train_one_epoch() (in module image_classification_tools.pytorch.training) train_size (image_classification_tools.pytorch.data.DataLoaders attribute), [1]

V

val (image_classification_tools.pytorch.data.DataLoaders attribute), [1]

val_size (image_classification_tools.pytorch.data.DataLoaders attribute), [1]