Index

A

Accuracy (class in salad.layers.association) AccuracyScore (class in salad.layers.base) AdversarialDropoutLoss (class in salad.solver.da.advdrop), [1] (class in salad.solver.da.advdrop_refactor) AdversarialDropoutSolver (class in salad.solver.da.advdrop), [1] (class in salad.solver.da.advdrop_refactor) AdversarialLoss (class in salad.solver.da.dann), [1] AdvModel (class in salad.models.digits.adv) affine() (salad.utils.augment.AffineTransformer method) affineinvariant() (in module salad.layers.mat) AffineInvariantDivergence (class in salad.layers.coral) AffineTransformer (class in salad.utils.augment)

apply() (in module salad.layers.mat) AssociationLoss (class in salad.solver.da.association), [1] AssociationMatrix (class in salad.layers.association) AssociativeLoss (class in salad.layers.association) AssociativeSolver (class in salad.solver.da.association), [1] augment() (salad.datasets.transforms.ensembling.ImageAugmentation method) augment_pair() (salad.datasets.transforms.ensembling.ImageAugmentation method) Augmentation (class in salad.datasets.transforms.ensembling) (class in salad.datasets.visda.utils) AugmentationDataset (class in salad.datasets.da.base) AugmentationLoader (class in salad.datasets.da.digits) AugmentationLoss (class in salad.layers.association) AutoAlign2d (class in salad.layers.da)

B

BaseClassSolver (class in salad.solver.classification) BaseConfig (class in salad.utils.config) BaselineDASolver (class in salad.solver.da.base), [1] BaseModel (class in salad.models.base) BaseOpensetSolver (class in salad.solver.openset)

BCESolver (class in salad.solver.classification) bn2linear() (in module salad.models.utils) (in module salad.structural) build_dataset() (in module salad.datasets.visda.detection) build_validation() (in module salad.datasets.visda.detection)

C

cat2d() (in module salad.models.gan) cat_nx2x3() (in module salad.datasets.transforms.ensembling) centre_xf() (in module salad.datasets.transforms.ensembling) CentroidDistanceLossSolver (class in salad.solver.da.coral), [1] CentroidLoss (class in salad.solver.da.coral), [1] CGANLoss (class in salad.solver.gan) ClassBalanceLoss (class in salad.layers.association) ClassificationLoss (class in salad.solver.classification) clean_transform() (in module salad.datasets.transforms.noisy) compose() (salad.utils.augment.RandomAffines method) CompressedResnet (class in salad.models.utils) (class in salad.structural) compute_loss_dict() (salad.solver.base.Solver method) concat() (in module salad.layers.funcs) (in module salad.solver.da.crossgrad), [1] concat_collate() (in module salad.datasets.da.base) conditional_params() (salad.models.digits.dirtt.SVHN_MNIST_Model method) (salad.models.digits.ensemble.SVHN_MNIST_Model method) ConditionalAdaptive (class in salad.models.base)

ConditionalBatchNorm (class in salad.models.digits.dirtt) (class in salad.models.digits.ensemble) ConditionalEntropy (class in salad.layers.vat) ConditionalGAN (class in salad.models.gan) ConditionalGANSolver (class in salad.solver.gan) conv2d() (in module salad.models.digits.assoc) (in module salad.models.digits.corr) (in module salad.solver.da.crossgrad), [1] convert_conv_bn() (in module salad.models.utils) (in module salad.structural) CoordShuffle (class in salad.datasets.visda.detection) CoralLoss (class in salad.layers.coral) CorrDistanceSolver (class in salad.solver.da.coral), [1] CorrelationDistance (class in salad.layers.coral) CorrelationDistanceLoss (class in salad.solver.da.coral), [1] CorrelationDistanceSolver (class in salad.solver.da.coral), [1] cov() (in module salad.layers.mat) CrossGradLoss (class in salad.solver.da.crossgrad), [1] CrossGradSolver (class in salad.solver.da.crossgrad), [1] cuda() (salad.solver.base.Solver method)

D

DABaselineLoss (class in salad.solver.da.base), [1] DABaseSolver (class in salad.solver.da.base), [1] DANNSolver (class in salad.solver.da.dann), [1] DATeacher (class in salad.solver.da.base), [1] DeepCoralSolver (class in salad.solver.da.coral), [1] DeepLogCoralSolver (class in salad.solver.da.coral), [1] default_normalization() (in module salad.datasets.transforms.digits) default_transforms() (in module salad.datasets.transforms.digits) derive_losses() (salad.solver.da.djdot.DJDOTSolver method), [1] (salad.solver.gan.CGANLoss method) DGBaseSolver (class in salad.solver.da.base), [1]

DigitsLoader (class in salad.datasets.da.digits) DIRTT (class in salad.solver.da.dirtt), [1] (class in salad.solver.da.dirtt_re), [1] DIRTTSolver (class in salad.solver.da.dirtt), [1] (class in salad.solver.da.dirtt_re), [1] Discriminator (class in salad.models.gan) DJDOTSolver (class in salad.solver.da.djdot), [1] DomainAdaptConfig (class in salad.utils.config) DomainConfusion (class in salad.datasets.transforms.noise) DomainLabel (class in salad.datasets.transforms.noise) double_conv (class in salad.models.vision.unet) down (class in salad.models.vision.unet)

E

EnsemblingLoss (class in salad.solver.da.ensembling), [1] eps (salad.datasets.da.digits.NoiseLoader attribute) (salad.datasets.da.digits.RotationLoader attribute) euclid() (in module salad.layers.mat)

evaluate() (in module salad.utils.evaluate) EventBasedSolver (class in salad.solver.base) extract_images_labels() (salad.datasets.digits.synth.Synth method) (salad.datasets.digits.synth.SynthSmall method) (salad.datasets.digits.usps.USPS method)

F

Feature (class in salad.models.digits.adv) FeatureAwareNormalization (class in salad.layers.da) features() (in module salad.solver.da.crossgrad), [1] FinetuneSolver (class in salad.solver.classification) (class in salad.utils.finetune) finish_batch() (salad.solver.base.EventBasedSolver method) finish_epoch() (salad.solver.base.EventBasedSolver method) FixedBottleneck (class in salad.models.utils) (class in salad.structural) FixedResnet() (in module salad.models.utils) (in module salad.structural) format_summary_report() (salad.solver.base.Solver method) format_train_report() (salad.solver.base.Solver method) (salad.solver.gan.ConditionalGANSolver method) forward() (salad.layers.association.Accuracy method) (salad.layers.association.AssociationMatrix method) (salad.layers.association.AssociativeLoss method) (salad.layers.association.AugmentationLoss method) (salad.layers.association.ClassBalanceLoss method) (salad.layers.association.OTLoss method) (salad.layers.association.VisitLoss method) (salad.layers.association.WalkerLoss method) (salad.layers.association.WassersteinLoss method) (salad.layers.base.AccuracyScore method) (salad.layers.base.KLDivWithLogits method) (salad.layers.base.MeanAccuracyScore method) (salad.layers.base.WeightedCE method) (salad.layers.coral.CorrelationDistance method) (salad.layers.coral.LogCoralLoss method) (salad.layers.da.AutoAlign2d method) (salad.layers.vat.ConditionalEntropy method) (salad.layers.vat.VATLoss method) (salad.models.base.BaseModel method) (salad.models.base.ConditionalAdaptive method) (salad.models.digits.adv.AdvModel method) (salad.models.digits.adv.Feature method) (salad.models.digits.adv.Predictor method) (salad.models.digits.assoc.FrenchModel method) (salad.models.digits.assoc.SVHNmodel method) (salad.models.digits.corr.FrenchModel method) (salad.models.digits.corr.SVHNmodel method) (salad.models.digits.dirtt.ConditionalBatchNorm method) (salad.models.digits.dirtt.SVHN_MNIST_Model method) (salad.models.digits.ensemble.ConditionalBatchNorm method) (salad.models.digits.ensemble.SVHN_MNIST_Model method) (salad.models.gan.ConditionalGAN method) (salad.models.gan.Discriminator method) (salad.models.utils.CompressedResnet method) (salad.models.utils.FixedBottleneck method) (salad.models.vision.unet.UNet method) (salad.models.vision.unet.double_conv method) (salad.models.vision.unet.down method) (salad.models.vision.unet.inconv method) (salad.models.vision.unet.outconv method) (salad.models.vision.unet.up method) (salad.solver.da.advdrop.SymmetricKL method), [1] (salad.solver.da.advdrop_refactor.SymmetricKL method) (salad.solver.da.crossgrad.Model method), [1] (salad.solver.da.crossgrad.MultiDomainModule method), [1] (salad.structural.CompressedResnet method) (salad.structural.FixedBottleneck method)

forward_domain() (salad.solver.da.crossgrad.Model method), [1] (salad.solver.da.crossgrad.MultiDomainModule method), [1] FrenchModel (class in salad.models.digits.assoc) (class in salad.models.digits.corr)

G

GANSolver (class in salad.solver.gan) Gaussian (class in salad.datasets.transforms.noise) get_affine() (in module salad.models.utils) (in module salad.structural) get_balanced_loader() (in module salad.datasets.visda.utils)

get_class_counts() (in module salad.datasets.visda.utils) get_data() (in module salad.datasets.digits.openset) get_dataset() (in module salad.solver.da.crossgrad), [1] get_n_params() (salad.models.vision.unet.UNet method) get_unbalanced_loader() (in module salad.datasets.visda.utils) getdata() (in module salad.layers.mat)

H

HighToLowGaussian (class in salad.datasets.da.digits)

HighToLowSaltPepper (class in salad.datasets.da.digits)

I

id2label (salad.datasets.visda.detection.VisdaDetectionLoader attribute) identify() (salad.utils.augment.RandomAffines method) identity_xf() (in module salad.datasets.transforms.ensembling) image_shape (salad.datasets.digits.synth.Synth attribute) (salad.datasets.digits.synth.SynthSmall attribute) (salad.datasets.digits.usps.USPS attribute)

ImageAugmentation (class in salad.datasets.transforms.ensembling) images (salad.datasets.digits.mnist.MNIST attribute) inconv (class in salad.models.vision.unet) inv_nx2x2() (in module salad.datasets.transforms.ensembling) inv_nx2x3() (in module salad.datasets.transforms.ensembling) invert_affine() (salad.utils.augment.AffineTransformer method) InvertContrast (class in salad.datasets.transforms.noise)

J

jeffrey() (in module salad.layers.mat) JeffreyDivergence (class in salad.layers.coral)

JointDataset (class in salad.datasets.da.base) JointLoader (class in salad.datasets.da.base) JointOptimizer (class in salad.optim)

K

KLDivWithLogits (class in salad.layers.base)

L

labels (salad.datasets.digits.mnist.MNIST attribute) load_datalist() (in module salad.datasets.visda.detection) load_dataset() (in module salad.datasets.da.base) (in module salad.datasets.visda.visda) load_dataset2() (in module salad.datasets.da.base) load_noisy_mnist() (in module salad.datasets.transforms.noisy)

load_or_create() (in module salad.utils.base) LogCoralLoss (class in salad.layers.coral) logeuclid() (in module salad.layers.mat) Loss (class in salad.utils.finetune) LowToHighGaussian (class in salad.datasets.da.digits) LowToHighSaltPepper (class in salad.datasets.da.digits)

M

make_data() (in module salad.datasets.da.toy) matmul() (salad.utils.augment.RandomAffines method) MaxTransform (class in salad.datasets.visda.detection) MeanAccuracyScore (class in salad.layers.base) MNIST (class in salad.datasets.digits.mnist)

Model (class in salad.solver.da.crossgrad), [1] MultidomainBCESolver (class in salad.solver.classification) MultiDomainClassificationLoss (class in salad.solver.classification) MultiDomainLoader (class in salad.datasets.da.base) MultiDomainModule (class in salad.solver.da.crossgrad), [1] MultiTransform (class in salad.datasets.visda.utils)

N

n_classes (salad.solver.gan.ConditionalGANSolver attribute) names (salad.solver.gan.ConditionalGANSolver attribute) noise_augment() (in module salad.datasets.da.toy) NoiseLoader (class in salad.datasets.da.digits) noisemodels (salad.datasets.da.digits.HighToLowGaussian attribute) (salad.datasets.da.digits.HighToLowSaltPepper attribute) (salad.datasets.da.digits.LowToHighGaussian attribute) (salad.datasets.da.digits.LowToHighSaltPepper attribute)

noisy_transform() (in module salad.datasets.transforms.noisy) normal_init() (in module salad.models.gan) normalize_perturbation() (in module salad.layers.vat) num_labels (salad.datasets.digits.synth.Synth attribute) (salad.datasets.digits.synth.SynthSmall attribute) (salad.datasets.digits.usps.USPS attribute)

O

OpenSetDataset (class in salad.datasets.digits.openset) optimize() (salad.solver.base.Solver method)

OTLoss (class in salad.layers.association) outconv (class in salad.models.vision.unet)

P

pack() (in module salad.solver.da.advdrop), [1] panelize() (in module salad.utils.base) parameters() (salad.models.digits.dirtt.ConditionalBatchNorm method) (salad.models.digits.dirtt.SVHN_MNIST_Model method) (salad.models.digits.ensemble.ConditionalBatchNorm method) (salad.models.digits.ensemble.SVHN_MNIST_Model method)

parameters_classifier() (salad.solver.da.crossgrad.Model method), [1] (salad.solver.da.crossgrad.MultiDomainModule method), [1] parameters_domain() (salad.solver.da.crossgrad.Model method), [1] (salad.solver.da.crossgrad.MultiDomainModule method), [1] pertub() (salad.solver.da.crossgrad.CrossGradLoss method), [1] Predictor (class in salad.models.digits.adv) print_config() (salad.utils.config.BaseConfig method)

R

RandomAffines (class in salad.utils.augment) reflect() (salad.utils.augment.RandomAffines method) register_loss() (salad.solver.base.Solver method) register_model() (salad.solver.base.Solver method) register_optimizer() (salad.solver.base.Solver method) reinit_bns() (in module salad.models.utils) (in module salad.structural)

remove_loss() (salad.solver.base.Solver method) replace_bns() (in module salad.models.utils) (in module salad.structural) riemann() (in module salad.layers.mat) robust_binary_crossentropy() (salad.layers.base.WeightedCE method) rotated() (salad.utils.augment.RandomAffines method) rotation_matrices() (in module salad.datasets.transforms.ensembling) RotationLoader (class in salad.datasets.da.digits)

S

salad (module) salad.datasets (module) salad.datasets.da (module) salad.datasets.da.base (module) salad.datasets.da.digits (module) salad.datasets.da.toy (module) salad.datasets.digits (module) salad.datasets.digits.base (module) salad.datasets.digits.mnist (module) salad.datasets.digits.openset (module) salad.datasets.digits.synth (module) salad.datasets.digits.usps (module) salad.datasets.transforms (module) salad.datasets.transforms.digits (module) salad.datasets.transforms.ensembling (module) salad.datasets.transforms.noise (module) salad.datasets.transforms.noisy (module) salad.datasets.visda (module) salad.datasets.visda.detection (module) salad.datasets.visda.openset (module) salad.datasets.visda.utils (module) salad.datasets.visda.visda (module) salad.layers (module) salad.layers.association (module) salad.layers.base (module) salad.layers.coral (module) salad.layers.da (module) salad.layers.funcs (module) salad.layers.mat (module) salad.layers.vat (module) salad.models (module) salad.models.audio (module) salad.models.base (module) salad.models.digits (module) salad.models.digits.adv (module) salad.models.digits.assoc (module) salad.models.digits.corr (module) salad.models.digits.dirtt (module) salad.models.digits.ensemble (module) salad.models.gan (module) salad.models.transfer (module) salad.models.utils (module) salad.models.vision (module) salad.models.vision.unet (module) salad.optim (module) salad.solver (module) salad.solver.base (module) salad.solver.classification (module) salad.solver.da (module)

salad.solver.da.advdrop (module), [1] salad.solver.da.advdrop_refactor (module) salad.solver.da.association (module), [1] salad.solver.da.base (module), [1] salad.solver.da.coral (module), [1] salad.solver.da.crossgrad (module), [1] salad.solver.da.dann (module), [1] salad.solver.da.dirtt (module), [1] salad.solver.da.dirtt_re (module), [1] salad.solver.da.djdot (module), [1] salad.solver.da.ensembling (module), [1] salad.solver.gan (module) salad.solver.openset (module) salad.structural (module) salad.utils (module) salad.utils.augment (module) salad.utils.base (module) salad.utils.config (module) salad.utils.evaluate (module) salad.utils.finetune (module) SaltAndPepper (class in salad.datasets.transforms.noise) scaled() (salad.utils.augment.RandomAffines method) SelfEnsemblingSolver (class in salad.solver.da.ensembling), [1] shear() (salad.utils.augment.RandomAffines method) Shift (class in salad.datasets.transforms.noise) shift() (salad.utils.augment.RandomAffines method) Solver (class in salad.solver.base) stable_logdet() (in module salad.layers.mat) start_batch() (salad.solver.base.EventBasedSolver method) start_epoch() (salad.solver.base.EventBasedSolver method) stein() (in module salad.layers.mat) SteinDivergence (class in salad.layers.coral) step() (salad.optim.JointOptimizer method) (salad.optim.WeightEMA method) step1() (salad.solver.da.advdrop.AdversarialDropoutLoss method), [1] (salad.solver.da.advdrop_refactor.AdversarialDropoutLoss method) step2() (salad.solver.da.advdrop.AdversarialDropoutLoss method), [1] (salad.solver.da.advdrop_refactor.AdversarialDropoutLoss method) step3() (salad.solver.da.advdrop.AdversarialDropoutLoss method), [1] (salad.solver.da.advdrop_refactor.AdversarialDropoutLoss method) stn() (salad.utils.augment.AffineTransformer method) StructuredInit (class in salad.solver.base) SVHN_MNIST_Model (class in salad.models.digits.dirtt) (class in salad.models.digits.ensemble) SVHNmodel (class in salad.models.digits.assoc) (class in salad.models.digits.corr) SymmetricKL (class in salad.solver.da.advdrop), [1] (class in salad.solver.da.advdrop_refactor) Synth (class in salad.datasets.digits.synth) SynthSmall (class in salad.datasets.digits.synth)

T

tensor() (in module salad.datasets.transforms) (in module salad.datasets.transforms.digits) test_file (salad.datasets.digits.synth.Synth attribute) (salad.datasets.digits.synth.SynthSmall attribute) (salad.datasets.digits.usps.USPS attribute)

to_one_hot() (in module salad.models.gan) ToyDatasetLoader (class in salad.datasets.da.toy) training_file (salad.datasets.digits.synth.Synth attribute) (salad.datasets.digits.synth.SynthSmall attribute) (salad.datasets.digits.usps.USPS attribute) transform() (in module salad.datasets.transforms.noisy)

U

UNet (class in salad.models.vision.unet) Uniform (class in salad.datasets.transforms.noise) unpack() (in module salad.solver.da.advdrop), [1] up (class in salad.models.vision.unet)

urls (salad.datasets.digits.synth.Synth attribute) (salad.datasets.digits.synth.SynthSmall attribute) (salad.datasets.digits.usps.USPS attribute) USPS (class in salad.datasets.digits.usps)

V

VADA (class in salad.solver.da.dirtt), [1] VADAOpenset (class in salad.solver.openset) VADASolver (class in salad.solver.da.dirtt), [1] VATLoss (class in salad.layers.vat)

visda_data_loader() (in module salad.datasets.visda.utils) visda_data_loader_full() (in module salad.datasets.visda.utils) visda_data_loader_pseudo() (in module salad.datasets.visda.utils) VisdaDetectionLoader (class in salad.datasets.visda.detection) VisitLoss (class in salad.layers.association)

W

WalkerLoss (class in salad.layers.association) WassersteinLoss (class in salad.layers.association) weight_init() (salad.models.gan.ConditionalGAN method) (salad.models.gan.Discriminator method)

WeightedCE (class in salad.layers.base) WeightEMA (class in salad.optim)

Z

zero_grad() (salad.optim.JointOptimizer method) (salad.optim.WeightEMA method)