Index

_

__call__() (utils.augmentations.DoubleCompose method) __getitem__() (utils.augmentations.DoubleCompose method) __iter__() (utils.augmentations.DoubleCompose method)

__len__() (utils.augmentations.DoubleCompose method) _do_transform() (utils.kornia_utils.KorniaAugNoGrad method) _getpolicy() (utils.kornia_utils.CustomKorniaRandAugment method)

A

accuracy() (in module models.slca_utils.toolkit) activations_hook() (backbone.EfficientNet.EfficientNet method) active_train_loaders (datasets.mnist_360.MNIST360 attribute) add_bwt() (utils.loggers.Logger method) add_data() (utils.buffer.Buffer method) (utils.gss_buffer.Buffer method) (utils.ring_buffer.RingBuffer method) add_experiment_args() (in module utils.args) add_forgetting() (utils.loggers.Logger method) add_fwt() (utils.loggers.Logger method) add_lipschitz_args() (in module models.utils.lider_model) add_management_args() (in module utils.args) add_rehearsal_args() (in module utils.args) AGem (class in models.agem)

AGemr (class in models.agem_r) AlphaModule (class in backbone.utils.modules) append() (backbone.utils.modules.ListModule method) apply_transform() (in module utils.augmentations) args (datasets.mnist_360.MNIST360 attribute) (datasets.mnist_360.SequentialMNIST360 attribute) (datasets.utils.continual_dataset.ContinualDataset attribute) Attention (class in models.coda_prompt_utils.vit) (class in models.dualprompt_utils.vision_transformer) (class in models.l2p_utils.vit_prompt) (class in models.slca_utils.convs.vits) autolog_wandb() (models.utils.continual_model.ContinualModel method) AVAIL_OPTIMS (models.utils.continual_model.ContinualModel attribute) AVAIL_SCHEDS (datasets.utils.continual_dataset.ContinualDataset attribute)

B

backbone module backbone.EfficientNet module backbone.MNISTMLP module backbone.MNISTMLP_PNN module backbone.ResNet18 module backbone.ResNet18_PNN module backbone.ResNet50 module backbone.utils module backbone.utils.modules module backup() (models.slca_utils.convs.linears.SimpleContinualLinear method) backward() (backbone.EfficientNet.SwishImplementation static method) (utils.conditional_bn.SelectClearGrad static method) backward_transfer() (in module utils.metrics) base_path() (in module utils.conf) BaseNet (class in models.slca_utils.inc_net) BasicBlock (class in backbone.ResNet18) (class in models.slca_utils.convs.resnet) BasicBlockPnn (class in backbone.ResNet18_PNN) batch_hard_triplet_loss() (in module utils.triplet)

batch_iterate() (in module models.twf) begin_task() (models.bic.BiC method) (models.coda_prompt.CodaPrompt method) (models.derpp_lider.DerppLider method) (models.dualprompt.DualPrompt method) (models.er_ace_lider.ErACELider method) (models.icarl.ICarl method) (models.icarl_lider.ICarlLider method) (models.l2p.L2P method) (models.lucir.Lucir method) (models.lwf.Lwf method) (models.twf.TwF method) (models.utils.continual_model.ContinualModel method) BiC (class in models.bic) binary_cross_entropy() (models.icarl.ICarl static method) (models.icarl_lider.ICarlLider static method) BinaryGumbelSoftmax (class in models.twf_utils.afd) Block (class in models.coda_prompt_utils.vit) (class in models.dualprompt_utils.vision_transformer) (class in models.l2p_utils.vit_prompt) (class in models.slca_utils.convs.vits) BlockDecoder (class in backbone.EfficientNet) bn_track_stats (class in utils.batch_norm) Bottleneck (class in backbone.ResNet50) (class in models.slca_utils.convs.resnet) Buffer (class in utils.buffer) (class in utils.gss_buffer) build_buffer() (models.bic.BiC method)

C

c_task (datasets.utils.continual_dataset.ContinualDataset attribute) calculate_output_image_size() (in module backbone.EfficientNet) Ccic (class in models.ccic) ChannelAttn (class in models.twf_utils.afd) checkpoint_filter_fn() (in module models.dualprompt_utils.vision_transformer) (in module models.l2p_utils.vit_prompt) (in module models.slca_utils.convs.vits) CifarResNet (class in models.slca_utils.convs.cifar_resnet) clear_locals() (utils.magic.persistent_locals method) CodaPrompt (class in models.coda_prompt) (class in models.coda_prompt_utils.model) COMPATIBILITY (models.agem.AGem attribute) (models.agem_r.AGemr attribute) (models.bic.BiC attribute) (models.ccic.Ccic attribute) (models.coda_prompt.CodaPrompt attribute) (models.deprecated.joint.Joint attribute), [1] (models.der.Der attribute) (models.derpp.Derpp attribute) (models.derpp_lider.DerppLider attribute) (models.dualprompt.DualPrompt attribute) (models.er.Er attribute) (models.er_ace.ErACE attribute) (models.er_ace_lider.ErACELider attribute) (models.ewc_on.EwcOn attribute) (models.fdr.Fdr attribute) (models.gdumb.GDumb attribute) (models.gdumb_lider.GDumbLider attribute) (models.gem.Gem attribute) (models.gss.Gss attribute) (models.hal.HAL attribute) (models.icarl.ICarl attribute) (models.icarl_lider.ICarlLider attribute) (models.joint_gcl.JointGCL attribute) (models.l2p.L2P attribute) (models.lucir.Lucir attribute) (models.lwf.Lwf attribute) (models.lwf_mc.LwFMC attribute) (models.mer.Mer attribute) (models.pnn.Pnn attribute) (models.rpc.RPC attribute) (models.sgd.Sgd attribute) (models.si.SI attribute) (models.twf.TwF attribute) (models.utils.continual_model.ContinualModel attribute) (models.xder.XDer attribute) (models.xder_ce.XDerCE attribute) (models.xder_rpc.XDerRPC attribute)

completed_rounds (datasets.mnist_360.MNIST360 attribute) compose_subpolicy_sequential() (utils.kornia_utils.CustomKorniaRandAugment method), [1] compute_class_means() (models.icarl.ICarl method) (models.icarl_lider.ICarlLider method) compute_distance() (models.twf_utils.afd.ChannelAttn method) (models.twf_utils.afd.DoubleAttn method) compute_embeddings() (models.ccic.Ccic method) compute_transition_matrix() (models.utils.lider_model.LiderOptimizer method) ConditionalBatchNorm1d (class in utils.conditional_bn) ConditionalBatchNorm2d (class in utils.conditional_bn) ConditionalLinear (class in models.twf_utils.afd) ContinualDataset (class in datasets.utils.continual_dataset) ContinualModel (class in models.utils.continual_model) conv1x1() (in module backbone.ResNet50) (in module models.slca_utils.convs.resnet) Conv2dDynamicSamePadding (class in backbone.EfficientNet) Conv2dStaticSamePadding (class in backbone.EfficientNet) conv3x3() (in module backbone.ResNet18) (in module backbone.ResNet50) (in module models.slca_utils.convs.resnet) copy() (models.slca_utils.inc_net.BaseNet method) cosine() (utils.schedulers.CosineSchedule method) CosineSchedule (class in utils.schedulers) count_parameters() (in module models.slca_utils.toolkit) cpt (models.utils.continual_model.ContinualModel property) create_if_not_exists() (in module utils) create_seeded_dataloader() (in module utils.conf) CUB200 (class in datasets.seq_cub200) current_items (datasets.mnist_360.MNIST360 attribute) current_task (models.utils.continual_model.ContinualModel property) custom_collate_unbatch() (in module datasets.mnist_360) custom_str_underscore() (in module utils) CustomClassifier (class in models.lucir) CustomDP (class in utils.distributed) CustomKorniaRandAugment (class in utils.kornia_utils) CustomRandomCrop (class in utils.augmentations) CustomRandomHorizontalFlip (class in utils.augmentations) cutmix_data() (in module utils.augmentations)

D

dataset (datasets.mnist_360.MNIST360 attribute) datasets module datasets.deprecated module datasets.deprecated.old_mnist_360 module datasets.imagenet_r_utils module datasets.mnist_360 module datasets.perm_mnist module datasets.rot_mnist module datasets.seq_cifar10 module datasets.seq_cifar100 module datasets.seq_cifar100_224 module datasets.seq_cifar100_224_rs module datasets.seq_cub200 module datasets.seq_imagenet_r module datasets.seq_mnist module datasets.seq_tinyimagenet module datasets.seq_tinyimagenet_r module datasets.transforms module datasets.transforms.denormalization module

datasets.transforms.permutation module datasets.transforms.rotation module datasets.utils module datasets.utils.continual_dataset module datasets.utils.gcl_dataset module datasets.utils.validation module decode() (backbone.EfficientNet.BlockDecoder static method) DeNormalize (class in datasets.transforms.denormalization) Der (class in models.der) Derpp (class in models.derpp) DerppLider (class in models.derpp_lider) discard_supervised_labels() (models.ccic.Ccic method) discard_unsupervised_labels() (models.ccic.Ccic method) DiverseLoss (class in models.twf_utils.afd) DoubleAttn (class in models.twf_utils.afd) DoubleCompose (class in utils.augmentations) DoubleTransform (class in utils.augmentations) downsample() (models.twf_utils.afd.ChannelAttn method) (models.twf_utils.afd.DoubleAttn method) DownsampleA (class in models.slca_utils.convs.cifar_resnet) DownsampleB (class in models.slca_utils.convs.cifar_resnet) DownsampleC (class in models.slca_utils.convs.cifar_resnet) DownsampleD (class in models.slca_utils.convs.cifar_resnet) draw_batches() (models.mer.Mer method) drop_cache() (utils.gss_buffer.Buffer method) drop_connect() (in module backbone.EfficientNet) dsimplex() (in module models.rpc) (in module models.xder_rpc) DualPrompt (class in models.dualprompt) dump() (utils.loggers.Logger method) dynamic_budget_lip_loss() (models.utils.lider_model.LiderOptimizer method)

E

EfficientNet (class in backbone.EfficientNet) efficientnet() (in module backbone.EfficientNet) efficientnet_params() (in module backbone.EfficientNet) efficientnet_tf() (in module backbone.EfficientNet) empty() (utils.buffer.Buffer method) (utils.gss_buffer.Buffer method) (utils.ring_buffer.RingBuffer method) encode() (backbone.EfficientNet.BlockDecoder static method) end_epoch() (models.ccic.Ccic method) end_task() (models.agem.AGem method) (models.bic.BiC method) (models.ccic.Ccic method) (models.deprecated.joint.Joint method) (models.ewc_on.EwcOn method) (models.fdr.Fdr method) (models.gdumb.GDumb method) (models.gdumb_lider.GDumbLider method) (models.gem.Gem method) (models.hal.HAL method) (models.icarl.ICarl method) (models.icarl_lider.ICarlLider method) (models.joint_gcl.JointGCL method) (models.lucir.Lucir method) (models.lwf_mc.LwFMC method) (models.pnn.Pnn method) (models.rpc.RPC method) (models.si.SI method) (models.twf.TwF method) (models.utils.continual_model.ContinualModel method) (models.xder.XDer method) (models.xder_ce.XDerCE method) (models.xder_rpc.XDerRPC method)

EPrompt (class in models.dualprompt_utils.prompt) Er (class in models.er) ErACE (class in models.er_ace) ErACELider (class in models.er_ace_lider) evaluate() (in module utils.training) evaluate_bias() (models.bic.BiC method) EwcOn (class in models.ewc_on) expansion (backbone.ResNet18.BasicBlock attribute) (backbone.ResNet50.Bottleneck attribute) (models.slca_utils.convs.cifar_resnet.ResNetBasicblock attribute) (models.slca_utils.convs.resnet.BasicBlock attribute) (models.slca_utils.convs.resnet.Bottleneck attribute) extend_like() (models.twf_utils.afd.MultiTaskAFDAlternative method) extract_endpoints() (backbone.EfficientNet.EfficientNet method) extract_features() (backbone.EfficientNet.EfficientNet method) extract_layerwise_vector() (models.slca_utils.inc_net.FinetuneIncrementalNet method) extract_vector() (models.slca_utils.inc_net.BaseNet method)

F

Fdr (class in models.fdr) feature_dim (models.slca_utils.inc_net.BaseNet property) features() (backbone.MammothBackbone method), [1] fill_buffer() (in module utils.buffer) FinetuneIncrementalNet (class in models.slca_utils.inc_net) fit_buffer() (in module models.gdumb) (in module models.gdumb_lider) (models.lucir.Lucir method) FixedPermutation (class in datasets.transforms.permutation) FixedRotation (class in datasets.transforms.rotation) forgetting() (in module utils.metrics) forward() (backbone.EfficientNet.Conv2dDynamicSamePadding method) (backbone.EfficientNet.Conv2dStaticSamePadding method) (backbone.EfficientNet.EfficientNet method) (backbone.EfficientNet.MBConvBlock method) (backbone.EfficientNet.MemoryEfficientSwish method) (backbone.EfficientNet.SwishImplementation static method) (backbone.MammothBackbone method), [1] (backbone.MNISTMLP.MNISTMLP method) (backbone.MNISTMLP_PNN.MNISTMLP_PNN method) (backbone.ResNet18.BasicBlock method) (backbone.ResNet18.ResNet method) (backbone.ResNet18_PNN.BasicBlockPnn method) (backbone.ResNet18_PNN.ResNetPNN method) (backbone.ResNet50.Bottleneck method) (backbone.ResNet50.ResNet method) (backbone.utils.modules.AlphaModule method) (models.bic.BiC method) (models.ccic.Ccic method) (models.coda_prompt.CodaPrompt method) (models.coda_prompt_utils.model.CodaPrompt method) (models.coda_prompt_utils.model.Model method) (models.coda_prompt_utils.vit.Attention method) (models.coda_prompt_utils.vit.Block method) (models.coda_prompt_utils.vit.Mlp method) (models.coda_prompt_utils.vit.VisionTransformer method) (models.dualprompt.DualPrompt method) (models.dualprompt_utils.attention.PreT_Attention method) (models.dualprompt_utils.model.Model method) (models.dualprompt_utils.prompt.EPrompt method) (models.dualprompt_utils.vision_transformer.Attention method) (models.dualprompt_utils.vision_transformer.Block method) (models.dualprompt_utils.vision_transformer.LayerScale method) (models.dualprompt_utils.vision_transformer.ParallelBlock method) (models.dualprompt_utils.vision_transformer.ResPostBlock method) (models.dualprompt_utils.vision_transformer.VisionTransformer method) (models.icarl.ICarl method) (models.icarl_lider.ICarlLider method) (models.l2p.L2P method) (models.l2p_utils.l2p_model.L2PModel method) (models.l2p_utils.prompt.Prompt method) (models.l2p_utils.vit_prompt.Attention method) (models.l2p_utils.vit_prompt.Block method) (models.l2p_utils.vit_prompt.LayerScale method) (models.l2p_utils.vit_prompt.ParallelBlock method) (models.l2p_utils.vit_prompt.ResPostBlock method) (models.l2p_utils.vit_prompt.VisionTransformer method) (models.lucir.CustomClassifier method) (models.lucir.Lucir method) (models.pnn.Pnn method) (models.rpc.RPC method) (models.slca_utils.convs.cifar_resnet.CifarResNet method) (models.slca_utils.convs.cifar_resnet.DownsampleA method) (models.slca_utils.convs.cifar_resnet.DownsampleB method) (models.slca_utils.convs.cifar_resnet.DownsampleC method) (models.slca_utils.convs.cifar_resnet.DownsampleD method) (models.slca_utils.convs.cifar_resnet.ResNetBasicblock method) (models.slca_utils.convs.linears.SimpleContinualLinear method) (models.slca_utils.convs.resnet.BasicBlock method) (models.slca_utils.convs.resnet.Bottleneck method) (models.slca_utils.convs.resnet.ResNet method) (models.slca_utils.convs.vits.Attention method) (models.slca_utils.convs.vits.Block method) (models.slca_utils.convs.vits.VisionTransformer method) (models.slca_utils.inc_net.BaseNet method) (models.slca_utils.inc_net.FinetuneIncrementalNet method) (models.twf_utils.afd.BinaryGumbelSoftmax method) (models.twf_utils.afd.ChannelAttn method) (models.twf_utils.afd.ConditionalLinear method) (models.twf_utils.afd.DiverseLoss method) (models.twf_utils.afd.DoubleAttn method) (models.twf_utils.afd.HardAttentionSoftmax method) (models.twf_utils.afd.MultiTaskAFDAlternative method) (models.twf_utils.afd.Normalize method) (models.twf_utils.afd.SoftAttentionSoftmax method) (models.twf_utils.afd.SpatialAttn method) (models.twf_utils.afd.StudentTransform method) (models.twf_utils.afd.TeacherForcingLoss method) (models.twf_utils.afd.TeacherTransform method) (models.utils.continual_model.ContinualModel method) (models.xder_rpc.XDerRPC method) (utils.conditional_bn.ConditionalBatchNorm1d method) (utils.conditional_bn.ConditionalBatchNorm2d method) (utils.conditional_bn.SelectClearGrad static method) (utils.kornia_utils.KorniaAugNoGrad method), [1] (utils.simclrloss.SupConLoss method)

forward_features() (models.dualprompt_utils.vision_transformer.VisionTransformer method) (models.l2p_utils.vit_prompt.VisionTransformer method) (models.slca_utils.convs.vits.VisionTransformer method) forward_head() (models.dualprompt_utils.vision_transformer.VisionTransformer method) (models.l2p_utils.vit_prompt.VisionTransformer method) forward_parameters() (utils.kornia_utils.CustomKorniaRandAugment method), [1] forward_transfer() (in module utils.metrics) freeze() (models.slca_utils.inc_net.BaseNet method) from_name() (backbone.EfficientNet.EfficientNet class method) from_pretrained() (backbone.EfficientNet.EfficientNet class method) functional_reservoir() (utils.gss_buffer.Buffer method)

G

GCLDataset (class in datasets.utils.gcl_dataset) GDumb (class in models.gdumb) GDumbLider (class in models.gdumb_lider) Gem (class in models.gem) generate_fc() (models.slca_utils.inc_net.BaseNet method) (models.slca_utils.inc_net.FinetuneIncrementalNet method) get_adapter() (models.slca_utils.convs.vits.VisionTransformer method) get_all_data() (utils.buffer.Buffer method) (utils.gss_buffer.Buffer method) (utils.ring_buffer.RingBuffer method) get_all_datasets() (in module datasets) get_all_models() (in module models) get_anchors() (models.hal.HAL method) get_attention_map() (models.coda_prompt_utils.vit.Attention method) get_attn_gradients() (models.coda_prompt_utils.vit.Attention method) get_backbone() (datasets.deprecated.old_mnist_360.MNIST360 static method) (datasets.mnist_360.SequentialMNIST360 static method) (datasets.perm_mnist.PermutedMNIST static method) (datasets.rot_mnist.RotatedMNIST static method) (datasets.seq_cifar10.SequentialCIFAR10 static method) (datasets.seq_cifar100.SequentialCIFAR100 static method) (datasets.seq_cifar100_224.SequentialCIFAR100224 static method) (datasets.seq_cifar100_224_rs.SequentialCIFAR100224RS static method) (datasets.seq_cub200.SequentialCUB200 static method) (datasets.seq_imagenet_r.SequentialImagenetR static method) (datasets.seq_mnist.SequentialMNIST static method) (datasets.seq_tinyimagenet.SequentialTinyImagenet static method) (datasets.utils.continual_dataset.ContinualDataset static method) (in module models.pnn) get_batch_size() (datasets.deprecated.old_mnist_360.MNIST360 static method) (datasets.mnist_360.SequentialMNIST360 static method) (datasets.perm_mnist.PermutedMNIST static method) (datasets.rot_mnist.RotatedMNIST static method) (datasets.seq_cifar10.SequentialCIFAR10 static method) (datasets.seq_cifar100.SequentialCIFAR100 static method) (datasets.seq_cifar100_224.SequentialCIFAR100224 static method) (datasets.seq_cifar100_224_rs.SequentialCIFAR100224RS static method) (datasets.seq_cub200.SequentialCUB200 static method) (datasets.seq_imagenet_r.SequentialImagenetR static method) (datasets.seq_mnist.SequentialMNIST static method) (datasets.seq_tinyimagenet.SequentialTinyImagenet static method) (datasets.utils.continual_dataset.ContinualDataset static method) get_class_names() (datasets.seq_imagenet_r.SequentialImagenetR method) get_classifier() (models.dualprompt_utils.vision_transformer.VisionTransformer method) (models.l2p_utils.vit_prompt.VisionTransformer method) (models.slca_utils.convs.vits.VisionTransformer method) get_convnet() (in module models.slca_utils.inc_net) get_custom_double_transform() (models.twf.TwF method) get_data() (utils.buffer.Buffer method) (utils.gss_buffer.Buffer method) (utils.ring_buffer.RingBuffer method) get_data_by_index() (utils.buffer.Buffer method) get_data_loaders() (datasets.mnist_360.SequentialMNIST360 method) (datasets.perm_mnist.PermutedMNIST method) (datasets.rot_mnist.RotatedMNIST method) (datasets.seq_cifar10.SequentialCIFAR10 method) (datasets.seq_cifar100.SequentialCIFAR100 method) (datasets.seq_cifar100_224.SequentialCIFAR100224 method) (datasets.seq_cifar100_224_rs.SequentialCIFAR100224RS method) (datasets.seq_cub200.SequentialCUB200 method) (datasets.seq_imagenet_r.SequentialImagenetR method) (datasets.seq_mnist.SequentialMNIST method) (datasets.seq_tinyimagenet.SequentialTinyImagenet method) (datasets.utils.continual_dataset.ContinualDataset method) get_dataset() (in module datasets) get_dataset_class() (in module datasets) get_dataset_names() (in module datasets) get_debug_iters() (models.ccic.Ccic method) (models.utils.continual_model.ContinualModel method) get_denormalization_transform() (datasets.deprecated.old_mnist_360.MNIST360 static method) (datasets.mnist_360.SequentialMNIST360 static method) (datasets.perm_mnist.PermutedMNIST static method) (datasets.rot_mnist.RotatedMNIST static method) (datasets.seq_cifar10.SequentialCIFAR10 static method) (datasets.seq_cifar100.SequentialCIFAR100 static method) (datasets.seq_cifar100_224.SequentialCIFAR100224 static method) (datasets.seq_cifar100_224_rs.SequentialCIFAR100224RS static method) (datasets.seq_cub200.SequentialCUB200 static method) (datasets.seq_imagenet_r.SequentialImagenetR static method) (datasets.seq_mnist.SequentialMNIST static method) (datasets.seq_tinyimagenet.SequentialTinyImagenet static method) (datasets.utils.continual_dataset.ContinualDataset static method) get_device() (in module utils.conf) get_epochs() (datasets.mnist_360.SequentialMNIST360 static method) (datasets.perm_mnist.PermutedMNIST static method) (datasets.rot_mnist.RotatedMNIST static method) (datasets.seq_cifar10.SequentialCIFAR10 static method) (datasets.seq_cifar100.SequentialCIFAR100 static method) (datasets.seq_cifar100_224.SequentialCIFAR100224 static method) (datasets.seq_cifar100_224_rs.SequentialCIFAR100224RS static method) (datasets.seq_cub200.SequentialCUB200 static method) (datasets.seq_imagenet_r.SequentialImagenetR static method) (datasets.seq_mnist.SequentialMNIST static method) (datasets.seq_tinyimagenet.SequentialTinyImagenet static method) (datasets.utils.continual_dataset.ContinualDataset method) (datasets.utils.gcl_dataset.GCLDataset static method) get_examples_number() (datasets.seq_cifar100.SequentialCIFAR100 method) get_feature_lip_coeffs() (models.utils.lider_model.LiderOptimizer method) get_forward_sequence() (utils.kornia_utils.CustomKorniaRandAugment method), [1] get_grad_score() (utils.gss_buffer.Buffer method) get_grads() (backbone.MammothBackbone method), [1] (models.gss.Gss method) get_grads_list() (backbone.MammothBackbone method), [1] get_image_size() (backbone.EfficientNet.EfficientNet class method) get_init_weights_vit() (in module models.dualprompt_utils.vision_transformer) (in module models.l2p_utils.vit_prompt) get_layer_lip_coeffs() (models.utils.lider_model.LiderOptimizer method) get_loss() (datasets.deprecated.old_mnist_360.MNIST360 static method) (datasets.mnist_360.SequentialMNIST360 static method) (datasets.perm_mnist.PermutedMNIST static method) (datasets.rot_mnist.RotatedMNIST static method) (datasets.seq_cifar10.SequentialCIFAR10 static method) (datasets.seq_cifar100.SequentialCIFAR100 static method) (datasets.seq_cifar100_224.SequentialCIFAR100224 static method) (datasets.seq_cifar100_224_rs.SequentialCIFAR100224RS static method) (datasets.seq_cub200.SequentialCUB200 static method) (datasets.seq_imagenet_r.SequentialImagenetR static method) (datasets.seq_mnist.SequentialMNIST static method) (datasets.seq_tinyimagenet.SequentialTinyImagenet static method) (datasets.utils.continual_dataset.ContinualDataset static method) (models.icarl.ICarl method) (models.icarl_lider.ICarlLider method) (models.lucir.Lucir method) (models.lwf_mc.LwFMC method)

get_lr() (utils.schedulers.CosineSchedule method) get_margin() (models.twf_utils.afd.TeacherTransform method) get_minibatch_size() (datasets.deprecated.old_mnist_360.MNIST360 static method) (datasets.utils.continual_dataset.ContinualDataset class method) get_model() (in module models) get_model_class() (in module models) get_model_names() (in module models) get_model_params() (in module backbone.EfficientNet) get_model_params_tf() (in module backbone.EfficientNet) get_n_epochs_first_stage() (datasets.seq_imagenet_r.SequentialImagenetR static method) get_norm() (models.utils.lider_model.LiderOptimizer method) get_normalization_transform() (datasets.mnist_360.SequentialMNIST360 static method) (datasets.perm_mnist.PermutedMNIST static method) (datasets.rot_mnist.RotatedMNIST static method) (datasets.seq_cifar10.SequentialCIFAR10 static method) (datasets.seq_cifar100.SequentialCIFAR100 static method) (datasets.seq_cifar100_224.SequentialCIFAR100224 static method) (datasets.seq_cifar100_224_rs.SequentialCIFAR100224RS static method) (datasets.seq_cub200.SequentialCUB200 static method) (datasets.seq_imagenet_r.SequentialImagenetR static method) (datasets.seq_mnist.SequentialMNIST static method) (datasets.seq_tinyimagenet.SequentialTinyImagenet static method) (datasets.utils.continual_dataset.ContinualDataset static method) get_offsets() (datasets.utils.continual_dataset.ContinualDataset method) get_optimizer() (models.coda_prompt.CodaPrompt method) (models.utils.continual_model.ContinualModel method) get_parameters() (models.dualprompt.DualPrompt method) (models.l2p.L2P method) (models.utils.continual_model.ContinualModel method) get_params() (backbone.MammothBackbone method), [1] get_parser() (in module models.deprecated.joint) (in module models.gdumb_lider) (in module models.lwf_mc) (models.agem.AGem static method) (models.agem_r.AGemr static method) (models.bic.BiC static method) (models.ccic.Ccic static method) (models.coda_prompt.CodaPrompt static method) (models.der.Der static method) (models.derpp.Derpp static method) (models.derpp_lider.DerppLider static method) (models.dualprompt.DualPrompt static method) (models.er.Er static method) (models.er_ace.ErACE static method) (models.er_ace_lider.ErACELider static method) (models.ewc_on.EwcOn static method) (models.fdr.Fdr static method) (models.gdumb.GDumb static method) (models.gdumb_lider.GDumbLider static method) (models.gem.Gem static method) (models.gss.Gss static method) (models.hal.HAL static method) (models.icarl.ICarl static method) (models.icarl_lider.ICarlLider static method) (models.joint_gcl.JointGCL static method) (models.l2p.L2P static method) (models.lucir.Lucir static method) (models.lwf.Lwf static method) (models.lwf_mc.LwFMC static method) (models.mer.Mer static method) (models.pnn.Pnn static method) (models.rpc.RPC static method) (models.sgd.Sgd static method) (models.si.SI static method) (models.twf.TwF static method) (models.utils.continual_model.ContinualModel static method) (models.xder.XDer static method) (models.xder_ce.XDerCE static method) (models.xder_rpc.XDerRPC static method) get_prompt_templates() (datasets.seq_imagenet_r.SequentialImagenetR static method) get_rnd_weight() (in module models.twf_utils.afd) get_same_padding_conv2d() (in module backbone.EfficientNet) get_scheduler() (datasets.seq_cifar100.SequentialCIFAR100 static method) (datasets.utils.continual_dataset.ContinualDataset static method) get_tasks_id() (models.twf_utils.afd.MultiTaskAFDAlternative method) get_test_data() (datasets.deprecated.old_mnist_360.MNIST360 method) (datasets.mnist_360.MNIST360 method) get_train_data() (datasets.deprecated.old_mnist_360.MNIST360 method) (datasets.mnist_360.MNIST360 method) get_train_val() (in module datasets.utils.validation) get_transform() (datasets.deprecated.old_mnist_360.MNIST360 static method) (datasets.mnist_360.SequentialMNIST360 static method) (datasets.perm_mnist.PermutedMNIST static method) (datasets.rot_mnist.RotatedMNIST static method) (datasets.seq_cifar10.SequentialCIFAR10 static method) (datasets.seq_cifar100.SequentialCIFAR100 static method) (datasets.seq_cifar100_224.SequentialCIFAR100224 static method) (datasets.seq_cifar100_224_rs.SequentialCIFAR100224RS static method) (datasets.seq_cub200.SequentialCUB200 static method) (datasets.seq_imagenet_r.SequentialImagenetR static method) (datasets.seq_mnist.SequentialMNIST static method) (datasets.seq_tinyimagenet.SequentialTinyImagenet method) (datasets.utils.continual_dataset.ContinualDataset static method) get_virtual_bn_num() (datasets.seq_imagenet_r.SequentialImagenetR static method) get_width_and_height_from_size() (in module backbone.EfficientNet) gram_schmidt() (models.coda_prompt_utils.model.CodaPrompt method) group_matcher() (models.dualprompt_utils.vision_transformer.VisionTransformer method) (models.l2p_utils.vit_prompt.VisionTransformer method) Gss (class in models.gss)

H

HAL (class in models.hal)

HardAttentionSoftmax (class in models.twf_utils.afd)

I

i (datasets.utils.continual_dataset.ContinualDataset attribute) ICarl (class in models.icarl) icarl_replay() (in module utils.buffer) ICarlLider (class in models.icarl_lider) IMG_SIZE (datasets.seq_cub200.MyCUB200 attribute) imprint_weights() (models.lucir.Lucir method) IncrementalRotation (class in datasets.transforms.rotation) init_net() (models.utils.lider_model.LiderOptimizer method) init_parameters() (models.twf_utils.afd.ConditionalLinear method) (models.twf_utils.afd.DoubleAttn method) (models.twf_utils.afd.StudentTransform method) init_tensors() (utils.buffer.Buffer method) (utils.gss_buffer.Buffer method) (utils.ring_buffer.RingBuffer method) init_test_loaders() (datasets.deprecated.old_mnist_360.MNIST360 method) (datasets.mnist_360.MNIST360 method) init_train_loaders() (datasets.deprecated.old_mnist_360.MNIST360 method) (datasets.mnist_360.MNIST360 method)

init_twf() (in module models.twf_utils.utils) init_weights() (models.dualprompt_utils.vision_transformer.ResPostBlock method) (models.dualprompt_utils.vision_transformer.VisionTransformer method) (models.l2p_utils.vit_prompt.ResPostBlock method) (models.l2p_utils.vit_prompt.VisionTransformer method) (models.slca_utils.convs.vits.VisionTransformer method) init_weights_vit_jax() (in module models.dualprompt_utils.vision_transformer) (in module models.l2p_utils.vit_prompt) init_weights_vit_moco() (in module models.dualprompt_utils.vision_transformer) (in module models.l2p_utils.vit_prompt) init_weights_vit_timm() (in module models.dualprompt_utils.vision_transformer) (in module models.l2p_utils.vit_prompt) initialize_wandb() (in module utils.training) intercept_names (utils.distributed.CustomDP attribute), [1] is_empty() (utils.buffer.Buffer method) (utils.gss_buffer.Buffer method) (utils.ring_buffer.RingBuffer method) is_over (datasets.mnist_360.MNIST360 attribute) is_train (datasets.mnist_360.MNIST360 attribute)

J

Joint (class in models.deprecated.joint)

JointGCL (class in models.joint_gcl)

K

KorniaAugNoGrad (class in utils.kornia_utils)

L

l2_normalize() (models.dualprompt_utils.prompt.EPrompt method) (models.l2p_utils.prompt.Prompt method) L2P (class in models.l2p) L2PModel (class in models.l2p_utils.l2p_model) last_conv (models.slca_utils.convs.cifar_resnet.CifarResNet property) (models.slca_utils.convs.resnet.ResNet property) LayerScale (class in models.dualprompt_utils.vision_transformer) (class in models.l2p_utils.vit_prompt) lecun_fix() (in module utils.main) LENGTH (datasets.deprecated.old_mnist_360.MNIST360 attribute) LiderOptimizer (class in models.utils.lider_model) ListModule (class in backbone.utils.modules) load() (utils.loggers.Logger method)

load_buffer() (models.utils.continual_model.ContinualModel method) load_pretrained() (models.dualprompt_utils.vision_transformer.VisionTransformer method) (models.l2p_utils.vit_prompt.VisionTransformer method) (models.slca_utils.convs.vits.VisionTransformer method) load_pretrained_weights() (in module backbone.EfficientNet) locals (utils.magic.persistent_locals property) log() (utils.loggers.Logger method) log_accs() (in module utils.loggers) log_fullacc() (utils.loggers.Logger method) Logger (class in utils.loggers) Lucir (class in models.lucir) lucir_batch_hard_triplet_loss() (in module models.lucir) Lwf (class in models.lwf) LwFMC (class in models.lwf_mc)

M

main() (in module utils.main) make_ddp() (in module utils.distributed) make_dp() (in module utils.distributed) makedirs() (in module models.slca_utils.toolkit) mammoth_efficientnet() (in module backbone.EfficientNet) mammoth_load_checkpoint() (in module utils.checkpoints) MammothBackbone (class in backbone) mask_classes() (in module utils.training) MBConvBlock (class in backbone.EfficientNet) MEAN (datasets.seq_cifar10.SequentialCIFAR10 attribute) (datasets.seq_cifar100.SequentialCIFAR100 attribute) (datasets.seq_cifar100_224.SequentialCIFAR100224 attribute) (datasets.seq_cifar100_224_rs.SequentialCIFAR100224RS attribute) (datasets.seq_cub200.MyCUB200 attribute) (datasets.seq_cub200.SequentialCUB200 attribute) (datasets.seq_tinyimagenet.SequentialTinyImagenet attribute) (datasets.seq_tinyimagenet_r.SequentialTinyImagenet32R attribute) MemoryEfficientSwish (class in backbone.EfficientNet) Mer (class in models.mer) meta_begin_task() (models.utils.continual_model.ContinualModel method) meta_end_task() (models.utils.continual_model.ContinualModel method) meta_observe() (models.utils.continual_model.ContinualModel method) minimization_lip_loss() (models.utils.lider_model.LiderOptimizer method) mixup() (in module utils.mixup) Mlp (class in models.coda_prompt_utils.vit) MNIST360 (class in datasets.deprecated.old_mnist_360) (class in datasets.mnist_360) MNISTMLP (class in backbone.MNISTMLP) MNISTMLP_PNN (class in backbone.MNISTMLP_PNN) Model (class in models.coda_prompt_utils.model) (class in models.dualprompt_utils.model) models module models.agem module models.agem_r module models.bic module models.ccic module models.coda_prompt module models.coda_prompt_utils module models.coda_prompt_utils.model module models.coda_prompt_utils.vit module models.deprecated module models.deprecated.joint module models.der module models.derpp module models.derpp_lider module models.dualprompt module models.dualprompt_utils module models.dualprompt_utils.attention module models.dualprompt_utils.model module models.dualprompt_utils.prompt module models.dualprompt_utils.vision_transformer module models.er module models.er_ace module models.er_ace_lider module models.ewc_on module models.fdr module models.gdumb module models.gdumb_lider module models.gem module models.gss module models.hal module models.icarl module models.icarl_lider module models.joint_gcl module models.l2p module models.l2p_utils module models.l2p_utils.l2p_model module models.l2p_utils.prompt module models.l2p_utils.vit_prompt module models.lucir module models.lwf module models.lwf_mc module models.mer module models.pnn module models.rpc module models.sgd module models.si module models.slca_utils module models.slca_utils.convs module models.slca_utils.convs.cifar_resnet module models.slca_utils.convs.linears module models.slca_utils.convs.resnet module models.slca_utils.convs.vits module models.slca_utils.inc_net module models.slca_utils.toolkit module models.twf module models.twf_utils module models.twf_utils.afd module

models.twf_utils.utils module models.utils module models.utils.continual_model module models.utils.lider_model module models.xder module models.xder_ce module models.xder_rpc module modified_kl_div() (in module models.lwf) module backbone backbone.EfficientNet backbone.MNISTMLP backbone.MNISTMLP_PNN backbone.ResNet18 backbone.ResNet18_PNN backbone.ResNet50 backbone.utils backbone.utils.modules datasets datasets.deprecated datasets.deprecated.old_mnist_360 datasets.imagenet_r_utils datasets.mnist_360 datasets.perm_mnist datasets.rot_mnist datasets.seq_cifar10 datasets.seq_cifar100 datasets.seq_cifar100_224 datasets.seq_cifar100_224_rs datasets.seq_cub200 datasets.seq_imagenet_r datasets.seq_mnist datasets.seq_tinyimagenet datasets.seq_tinyimagenet_r datasets.transforms datasets.transforms.denormalization datasets.transforms.permutation datasets.transforms.rotation datasets.utils datasets.utils.continual_dataset datasets.utils.gcl_dataset datasets.utils.validation models models.agem models.agem_r models.bic models.ccic models.coda_prompt models.coda_prompt_utils models.coda_prompt_utils.model models.coda_prompt_utils.vit models.deprecated models.deprecated.joint models.der models.derpp models.derpp_lider models.dualprompt models.dualprompt_utils models.dualprompt_utils.attention models.dualprompt_utils.model models.dualprompt_utils.prompt models.dualprompt_utils.vision_transformer models.er models.er_ace models.er_ace_lider models.ewc_on models.fdr models.gdumb models.gdumb_lider models.gem models.gss models.hal models.icarl models.icarl_lider models.joint_gcl models.l2p models.l2p_utils models.l2p_utils.l2p_model models.l2p_utils.prompt models.l2p_utils.vit_prompt models.lucir models.lwf models.lwf_mc models.mer models.pnn models.rpc models.sgd models.si models.slca_utils models.slca_utils.convs models.slca_utils.convs.cifar_resnet models.slca_utils.convs.linears models.slca_utils.convs.resnet models.slca_utils.convs.vits models.slca_utils.inc_net models.slca_utils.toolkit models.twf models.twf_utils models.twf_utils.afd models.twf_utils.utils models.utils models.utils.continual_model models.utils.lider_model models.xder models.xder_ce models.xder_rpc utils utils.args utils.augmentations utils.batch_norm utils.best_args utils.buffer utils.checkpoints utils.conditional_bn utils.conf utils.distributed utils.gss_buffer utils.kornia_utils utils.loggers utils.magic utils.main utils.metrics utils.mixup utils.prompt_templates utils.ring_buffer utils.schedulers utils.simclrloss utils.status utils.training utils.triplet MultiTaskAFDAlternative (class in models.twf_utils.afd) MyCIFAR10 (class in datasets.seq_cifar10) MyCIFAR100 (class in datasets.seq_cifar100) MyCUB200 (class in datasets.seq_cub200) MyImagenetR (class in datasets.seq_imagenet_r) MyMNIST (class in datasets.perm_mnist) (class in datasets.seq_mnist) MyTinyImagenet (class in datasets.seq_tinyimagenet)

N

n (utils.kornia_utils.CustomKorniaRandAugment attribute) N_CLASSES (datasets.deprecated.old_mnist_360.MNIST360 attribute) (datasets.mnist_360.MNIST360 attribute), [1] (datasets.mnist_360.SequentialMNIST360 attribute), [1] (datasets.rot_mnist.RotatedMNIST attribute) (datasets.seq_cifar10.SequentialCIFAR10 attribute) (datasets.seq_cifar100.SequentialCIFAR100 attribute) (datasets.seq_cifar100_224.SequentialCIFAR100224 attribute) (datasets.seq_cifar100_224_rs.SequentialCIFAR100224RS attribute) (datasets.seq_cub200.MyCUB200 attribute) (datasets.seq_imagenet_r.MyImagenetR attribute) (datasets.seq_imagenet_r.SequentialImagenetR attribute) (datasets.seq_mnist.SequentialMNIST attribute) (datasets.seq_tinyimagenet.SequentialTinyImagenet attribute) (datasets.utils.continual_dataset.ContinualDataset attribute), [1] (datasets.utils.gcl_dataset.GCLDataset attribute) n_classes_current_task (models.utils.continual_model.ContinualModel property) N_CLASSES_PER_TASK (datasets.perm_mnist.PermutedMNIST attribute) (datasets.rot_mnist.RotatedMNIST attribute) (datasets.seq_cifar10.SequentialCIFAR10 attribute) (datasets.seq_cifar100.SequentialCIFAR100 attribute) (datasets.seq_cifar100_224.SequentialCIFAR100224 attribute) (datasets.seq_cifar100_224_rs.SequentialCIFAR100224RS attribute) (datasets.seq_cub200.SequentialCUB200 attribute) (datasets.seq_imagenet_r.SequentialImagenetR attribute) (datasets.seq_mnist.SequentialMNIST attribute) (datasets.seq_tinyimagenet.SequentialTinyImagenet attribute) (datasets.utils.continual_dataset.ContinualDataset attribute), [1] (datasets.utils.gcl_dataset.GCLDataset attribute) n_past_classes (models.utils.continual_model.ContinualModel property) n_remaining_classes (models.utils.continual_model.ContinualModel property) n_seen_classes (models.utils.continual_model.ContinualModel property) N_TASKS (datasets.perm_mnist.PermutedMNIST attribute) (datasets.rot_mnist.RotatedMNIST attribute) (datasets.seq_cifar10.SequentialCIFAR10 attribute) (datasets.seq_cifar100.SequentialCIFAR100 attribute) (datasets.seq_cifar100_224.SequentialCIFAR100224 attribute) (datasets.seq_cifar100_224_rs.SequentialCIFAR100224RS attribute) (datasets.seq_cub200.SequentialCUB200 attribute) (datasets.seq_imagenet_r.SequentialImagenetR attribute) (datasets.seq_mnist.SequentialMNIST attribute) (datasets.seq_tinyimagenet.SequentialTinyImagenet attribute) (datasets.utils.continual_dataset.ContinualDataset attribute), [1] (datasets.utils.gcl_dataset.GCLDataset attribute) NAME (datasets.deprecated.old_mnist_360.MNIST360 attribute) (datasets.mnist_360.SequentialMNIST360 attribute), [1] (datasets.perm_mnist.PermutedMNIST attribute) (datasets.rot_mnist.RotatedMNIST attribute) (datasets.seq_cifar10.SequentialCIFAR10 attribute) (datasets.seq_cifar100.SequentialCIFAR100 attribute) (datasets.seq_cifar100_224.SequentialCIFAR100224 attribute) (datasets.seq_cifar100_224_rs.SequentialCIFAR100224RS attribute) (datasets.seq_cub200.SequentialCUB200 attribute) (datasets.seq_imagenet_r.SequentialImagenetR attribute) (datasets.seq_mnist.SequentialMNIST attribute) (datasets.seq_tinyimagenet.SequentialTinyImagenet attribute) (datasets.seq_tinyimagenet_r.SequentialTinyImagenet32R attribute) (datasets.utils.continual_dataset.ContinualDataset attribute), [1] (datasets.utils.gcl_dataset.GCLDataset attribute) (models.agem.AGem attribute) (models.agem_r.AGemr attribute) (models.bic.BiC attribute) (models.ccic.Ccic attribute) (models.coda_prompt.CodaPrompt attribute) (models.deprecated.joint.Joint attribute), [1] (models.der.Der attribute) (models.derpp.Derpp attribute) (models.derpp_lider.DerppLider attribute) (models.dualprompt.DualPrompt attribute) (models.er.Er attribute) (models.er_ace.ErACE attribute) (models.er_ace_lider.ErACELider attribute) (models.ewc_on.EwcOn attribute) (models.fdr.Fdr attribute) (models.gdumb.GDumb attribute) (models.gdumb_lider.GDumbLider attribute) (models.gem.Gem attribute) (models.gss.Gss attribute) (models.hal.HAL attribute) (models.icarl.ICarl attribute) (models.icarl_lider.ICarlLider attribute) (models.joint_gcl.JointGCL attribute) (models.l2p.L2P attribute) (models.lucir.Lucir attribute) (models.lwf.Lwf attribute) (models.lwf_mc.LwFMC attribute) (models.mer.Mer attribute) (models.pnn.Pnn attribute) (models.rpc.RPC attribute) (models.sgd.Sgd attribute) (models.si.SI attribute) (models.twf.TwF attribute) (models.utils.continual_model.ContinualModel attribute) (models.xder.XDer attribute) (models.xder_ce.XDerCE attribute) (models.xder_rpc.XDerRPC attribute)

negative_only_triplet_loss() (in module utils.triplet) no_weight_decay() (models.coda_prompt_utils.vit.VisionTransformer method) (models.dualprompt_utils.vision_transformer.VisionTransformer method) (models.l2p_utils.vit_prompt.VisionTransformer method) (models.slca_utils.convs.vits.VisionTransformer method) none_or_float() (in module utils) Normalize (class in models.twf_utils.afd) normalize (datasets.seq_imagenet_r.SequentialImagenetR attribute) normalize() (in module utils.augmentations) noscale_forward() (models.lucir.CustomClassifier method) num_flat_features() (in module backbone) num_rounds (datasets.mnist_360.MNIST360 attribute)

O

observe() (models.agem.AGem method) (models.agem_r.AGemr method) (models.bic.BiC method) (models.ccic.Ccic method) (models.coda_prompt.CodaPrompt method) (models.deprecated.joint.Joint method) (models.der.Der method) (models.derpp.Derpp method) (models.derpp_lider.DerppLider method) (models.dualprompt.DualPrompt method) (models.er.Er method) (models.er_ace.ErACE method) (models.er_ace_lider.ErACELider method) (models.ewc_on.EwcOn method) (models.fdr.Fdr method) (models.gdumb.GDumb method) (models.gdumb_lider.GDumbLider method) (models.gem.Gem method) (models.gss.Gss method) (models.hal.HAL method) (models.icarl.ICarl method) (models.icarl_lider.ICarlLider method) (models.joint_gcl.JointGCL method) (models.l2p.L2P method) (models.lucir.Lucir method) (models.lwf.Lwf method) (models.lwf_mc.LwFMC method) (models.mer.Mer method) (models.pnn.Pnn method) (models.rpc.RPC method) (models.sgd.Sgd method) (models.si.SI method) (models.twf.TwF method) (models.utils.continual_model.ContinualModel method) (models.xder.XDer method) (models.xder_ce.XDerCE method) (models.xder_rpc.XDerRPC method)

ortho_penalty() (in module models.coda_prompt_utils.model) overwrite_grad() (in module models.gem)

P

ParallelBlock (class in models.dualprompt_utils.vision_transformer) (class in models.l2p_utils.vit_prompt) parameters() (backbone.utils.modules.AlphaModule method) parse_args() (in module utils.main) partial_distill_loss() (models.twf.TwF method) penalty() (models.ewc_on.EwcOn method) (models.si.SI method) Permutation (class in datasets.transforms.permutation) PermutedMNIST (class in datasets.perm_mnist) persistent_locals (class in utils.magic)

Pnn (class in models.pnn) PreT_Attention (class in models.dualprompt_utils.attention) print_mean_accuracy() (in module utils.loggers) process_task_count() (models.coda_prompt_utils.model.CodaPrompt method) prog() (utils.status.ProgressBar method) progress_bar() (in module utils.status) ProgressBar (class in utils.status) project() (in module models.agem) project2cone2() (in module models.gem) Prompt (class in models.l2p_utils.prompt)

R

rand_bbox() (in module utils.augmentations) rand_selector (utils.kornia_utils.CustomKorniaRandAugment attribute) random_crop() (in module utils.augmentations) random_flip() (in module utils.augmentations) random_grayscale() (in module utils.augmentations) random_id() (in module utils) recall() (models.slca_utils.convs.linears.SimpleContinualLinear method) reinit() (datasets.mnist_360.MNIST360 method) remaining_training_items (datasets.mnist_360.MNIST360 attribute) reservoir() (in module utils.buffer) reset_classifier() (models.dualprompt_utils.vision_transformer.VisionTransformer method) (models.l2p_utils.vit_prompt.VisionTransformer method) (models.slca_utils.convs.vits.VisionTransformer method) reset_fathom() (utils.gss_buffer.Buffer method) reset_parameters() (backbone.MNISTMLP.MNISTMLP method) (backbone.MNISTMLP_PNN.MNISTMLP_PNN method) (models.lucir.CustomClassifier method) reset_weight() (models.lucir.CustomClassifier method) resize_pos_embed() (in module models.dualprompt_utils.vision_transformer) (in module models.l2p_utils.vit_prompt) (in module models.slca_utils.convs.vits) ResNet (class in backbone.ResNet18) (class in backbone.ResNet50) (class in models.slca_utils.convs.resnet) resnet101() (in module models.slca_utils.convs.resnet) resnet110() (in module models.slca_utils.convs.cifar_resnet)

resnet152() (in module models.slca_utils.convs.resnet) resnet18() (in module backbone.ResNet18) (in module models.slca_utils.convs.resnet) resnet18_pnn() (in module backbone.ResNet18_PNN) resnet20() (in module models.slca_utils.convs.cifar_resnet) resnet20mnist() (in module models.slca_utils.convs.cifar_resnet) resnet32() (in module models.slca_utils.convs.cifar_resnet) resnet32mnist() (in module models.slca_utils.convs.cifar_resnet) resnet34() (in module models.slca_utils.convs.resnet) resnet44() (in module models.slca_utils.convs.cifar_resnet) resnet50() (in module backbone.ResNet50) (in module models.slca_utils.convs.resnet) resnet56() (in module models.slca_utils.convs.cifar_resnet) ResNetBasicblock (class in models.slca_utils.convs.cifar_resnet) ResNetPNN (class in backbone.ResNet18_PNN) resnext101_32x8d() (in module models.slca_utils.convs.resnet) resnext50_32x4d() (in module models.slca_utils.convs.resnet) ResPostBlock (class in models.dualprompt_utils.vision_transformer) (class in models.l2p_utils.vit_prompt) rewind() (utils.loggers.Logger method) ring() (in module utils.ring_buffer) RingBuffer (class in utils.ring_buffer) RotatedMNIST (class in datasets.rot_mnist) Rotation (class in datasets.transforms.rotation) round_filters() (in module backbone.EfficientNet) round_repeats() (in module backbone.EfficientNet) RPC (class in models.rpc)

S

save_attention_map() (models.coda_prompt_utils.vit.Attention method) save_attn_gradients() (models.coda_prompt_utils.vit.Attention method) save_old_fc() (models.slca_utils.inc_net.FinetuneIncrementalNet method) SelectClearGrad (class in utils.conditional_bn) SequentialCIFAR10 (class in datasets.seq_cifar10) SequentialCIFAR100 (class in datasets.seq_cifar100) SequentialCIFAR100224 (class in datasets.seq_cifar100_224) SequentialCIFAR100224RS (class in datasets.seq_cifar100_224_rs) SequentialCUB200 (class in datasets.seq_cub200) SequentialImagenetR (class in datasets.seq_imagenet_r) SequentialMNIST (class in datasets.seq_mnist) SequentialMNIST360 (class in datasets.mnist_360) SequentialTinyImagenet (class in datasets.seq_tinyimagenet) SequentialTinyImagenet32R (class in datasets.seq_tinyimagenet_r) set_grad_checkpointing() (models.dualprompt_utils.vision_transformer.VisionTransformer method) (models.l2p_utils.vit_prompt.VisionTransformer method) set_grad_filter() (backbone.ResNet50.ResNet method) set_iteration() (datasets.transforms.rotation.IncrementalRotation method) set_params() (backbone.MammothBackbone method), [1] set_random_seed() (in module utils.conf) set_random_seed_worker() (in module utils.conf) set_return_prerelu() (backbone.ResNet18.ResNet method) (backbone.ResNet50.ResNet method) set_swish() (backbone.EfficientNet.EfficientNet method) (backbone.EfficientNet.MBConvBlock method) SETTING (datasets.deprecated.old_mnist_360.MNIST360 attribute) (datasets.mnist_360.SequentialMNIST360 attribute), [1] (datasets.perm_mnist.PermutedMNIST attribute) (datasets.rot_mnist.RotatedMNIST attribute) (datasets.seq_cifar10.SequentialCIFAR10 attribute) (datasets.seq_cifar100.SequentialCIFAR100 attribute) (datasets.seq_cifar100_224.SequentialCIFAR100224 attribute) (datasets.seq_cifar100_224_rs.SequentialCIFAR100224RS attribute) (datasets.seq_cub200.SequentialCUB200 attribute) (datasets.seq_imagenet_r.SequentialImagenetR attribute) (datasets.seq_mnist.SequentialMNIST attribute) (datasets.seq_tinyimagenet.SequentialTinyImagenet attribute) (datasets.utils.continual_dataset.ContinualDataset attribute), [1] (datasets.utils.gcl_dataset.GCLDataset attribute)

setting (in module datasets.utils.continual_dataset) setup() (in module utils.distributed) Sgd (class in models.sgd) SI (class in models.si) SimpleContinualLinear (class in models.slca_utils.convs.linears) SIZE (datasets.mnist_360.SequentialMNIST360 attribute), [1] (datasets.perm_mnist.PermutedMNIST attribute) (datasets.rot_mnist.RotatedMNIST attribute) (datasets.seq_cifar10.SequentialCIFAR10 attribute) (datasets.seq_cifar100.SequentialCIFAR100 attribute) (datasets.seq_cifar100_224.SequentialCIFAR100224 attribute) (datasets.seq_cifar100_224_rs.SequentialCIFAR100224RS attribute) (datasets.seq_cub200.SequentialCUB200 attribute) (datasets.seq_imagenet_r.SequentialImagenetR attribute) (datasets.seq_mnist.SequentialMNIST attribute) (datasets.seq_tinyimagenet.SequentialTinyImagenet attribute) (datasets.utils.continual_dataset.ContinualDataset attribute), [1] (datasets.utils.gcl_dataset.GCLDataset attribute) smart_joint() (in module utils) smooth() (in module models.lwf) soft_aug (class in utils.augmentations) SoftAttentionSoftmax (class in models.twf_utils.afd) SpatialAttn (class in models.twf_utils.afd) split_images_labels() (in module models.slca_utils.toolkit) STD (datasets.seq_cifar10.SequentialCIFAR10 attribute) (datasets.seq_cifar100.SequentialCIFAR100 attribute) (datasets.seq_cifar100_224.SequentialCIFAR100224 attribute) (datasets.seq_cifar100_224_rs.SequentialCIFAR100224RS attribute) (datasets.seq_cub200.MyCUB200 attribute) (datasets.seq_cub200.SequentialCUB200 attribute) (datasets.seq_tinyimagenet.SequentialTinyImagenet attribute) (datasets.seq_tinyimagenet_r.SequentialTinyImagenet32R attribute) store_grad() (in module models.gem) store_masked_loaders() (in module datasets.utils.continual_dataset) strong_aug (class in utils.augmentations) StudentTransform (class in models.twf_utils.afd) SupConLoss (class in utils.simclrloss) SwishImplementation (class in backbone.EfficientNet)

T

target2onehot() (in module models.slca_utils.toolkit) TCIFAR10 (class in datasets.seq_cifar10) TCIFAR100 (class in datasets.seq_cifar100) TeacherForcingLoss (class in models.twf_utils.afd) TeacherTransform (class in models.twf_utils.afd) tensor2numpy() (in module models.slca_utils.toolkit) tensor_prompt() (in module models.coda_prompt_utils.model) test_class (datasets.mnist_360.MNIST360 attribute) test_dataset (in module datasets.utils.continual_dataset) test_iteration (datasets.mnist_360.MNIST360 attribute) test_loaders (datasets.utils.continual_dataset.ContinualDataset attribute) TEST_TRANSFORM (datasets.seq_cifar100_224.SequentialCIFAR100224 attribute) (datasets.seq_cifar100_224_rs.SequentialCIFAR100224RS attribute) (datasets.seq_cub200.MyCUB200 attribute) (datasets.seq_cub200.SequentialCUB200 attribute) (datasets.seq_imagenet_r.SequentialImagenetR attribute) (datasets.seq_tinyimagenet_r.SequentialTinyImagenet32R attribute) TinyImagenet (class in datasets.seq_tinyimagenet) to() (backbone.MNISTMLP.MNISTMLP method) (backbone.ResNet18.ResNet method) (backbone.ResNet50.ResNet method) (models.er_ace_lider.ErACELider method) (models.icarl_lider.ICarlLider method) (models.utils.continual_model.ContinualModel method) (utils.buffer.Buffer method)

to_kornia_transform() (in module utils.kornia_utils) top_eigenvalue() (models.utils.lider_model.LiderOptimizer method) train() (in module utils.training) train_classes (datasets.mnist_360.MNIST360 attribute) train_dataset (in module datasets.utils.continual_dataset) train_loader (datasets.utils.continual_dataset.ContinualDataset attribute) train_next_class() (datasets.deprecated.old_mnist_360.MNIST360 method) (datasets.mnist_360.MNIST360 method) TRANSFORM (datasets.mnist_360.SequentialMNIST360 attribute), [1] (datasets.seq_cifar10.SequentialCIFAR10 attribute) (datasets.seq_cifar100.SequentialCIFAR100 attribute) (datasets.seq_cifar100_224.SequentialCIFAR100224 attribute) (datasets.seq_cifar100_224_rs.SequentialCIFAR100224RS attribute) (datasets.seq_cub200.SequentialCUB200 attribute) (datasets.seq_imagenet_r.SequentialImagenetR attribute) (datasets.seq_mnist.SequentialMNIST attribute) (datasets.seq_tinyimagenet.SequentialTinyImagenet attribute) (datasets.seq_tinyimagenet_r.SequentialTinyImagenet32R attribute) transmitting_matrix() (models.utils.lider_model.LiderOptimizer method) TwF (class in models.twf)

U

update() (models.slca_utils.convs.linears.SimpleContinualLinear method) update_classifier() (models.lucir.Lucir method) update_fc() (models.slca_utils.inc_net.BaseNet method) (models.slca_utils.inc_net.FinetuneIncrementalNet method) update_logits() (models.xder.XDer method) (models.xder_ce.XDerCE method) (models.xder_rpc.XDerRPC method) upsample() (models.twf_utils.afd.ChannelAttn method) (models.twf_utils.afd.DoubleAttn method) used_attributes (utils.buffer.Buffer property) utils module utils.args module utils.augmentations module utils.batch_norm module utils.best_args module utils.buffer module utils.checkpoints module utils.conditional_bn module utils.conf module utils.distributed module

utils.gss_buffer module utils.kornia_utils module utils.loggers module utils.magic module utils.main module utils.metrics module utils.mixup module utils.prompt_templates module utils.ring_buffer module utils.schedulers module utils.simclrloss module utils.status module utils.training module utils.triplet module

V

ValidationDataset (class in datasets.utils.validation) VisionTransformer (class in models.coda_prompt_utils.vit) (class in models.dualprompt_utils.vision_transformer) (class in models.l2p_utils.vit_prompt) (class in models.slca_utils.convs.vits)

vit_base_patch16_224_dualprompt() (in module models.dualprompt_utils.vision_transformer) vit_base_patch16_224_in21k() (in module models.slca_utils.convs.vits) vit_base_patch16_224_l2p() (in module models.l2p_utils.vit_prompt) vit_base_patch16_224_mocov3() (in module models.slca_utils.convs.vits)

W

wait_for_master() (in module utils.distributed) warn_once() (in module utils.conf)

wide_resnet101_2() (in module models.slca_utils.convs.resnet) wide_resnet50_2() (in module models.slca_utils.convs.resnet) write() (utils.loggers.Logger method)

X

xavier() (in module backbone) XDer (class in models.xder)

XDerCE (class in models.xder_ce) XDerRPC (class in models.xder_rpc)