Index

_

__call__() (CLIP method) (EfficientNet method) (Emotion method) (HFCausalLMTGModel method) (HFNLIModel method) (HFSeq2SeqTGModel method) (HFSeqTCModel method) (ImageClassification method) (ImageTextVectorisation method) (ImageVectorisation method) (QA method) (STModel method) (Summarisation method) (T5QASummaryEmotion method) (TextClassification method) (TextGeneration method) (TextVectorisation method)

A

api_key (Emotion attribute) (ImageClassification attribute) (ImageTextVectorisation attribute) (ImageVectorisation attribute) (QA attribute) (Summarisation attribute) (Task attribute) (TextClassification attribute) (TextGeneration attribute) (TextVectorisation attribute)

attention() (ResidualAttentionBlock method) AttentionPool2d (class in backprop.models.clip.model) AutoModel (class in backprop.models.auto_model) available_models() (in module backprop.models.clip.clip)

B

backprop module backprop.models module backprop.models.auto_model module backprop.models.clip.clip module backprop.models.clip.model module backprop.models.clip.models_list module backprop.models.clip.module module backprop.models.clip.simple_tokenizer module backprop.models.efficientnet.model module backprop.models.efficientnet.models_list module backprop.models.generic_models module backprop.models.hf_causallm_tg_model.model module backprop.models.hf_causallm_tg_model.models_list module backprop.models.hf_nli_model.model module backprop.models.hf_nli_model.models_list module backprop.models.hf_seq2seq_tg_model.model module backprop.models.hf_seq2seq_tg_model.models_list module backprop.models.hf_seq_tc_model.model module backprop.models.hf_seq_tc_model.models_list module backprop.models.st_model.model module backprop.models.st_model.models_list module backprop.models.t5_qa_summary_emotion.model module backprop.models.t5_qa_summary_emotion.models_list module

backprop.tasks.base module backprop.tasks.emotion module backprop.tasks.image_classification module backprop.tasks.image_text_vectorisation module backprop.tasks.image_vectorisation module backprop.tasks.qa module backprop.tasks.summarisation module backprop.tasks.text_classification module backprop.tasks.text_generation module backprop.tasks.text_vectorisation module backprop.utils.datasets module backprop.utils.download module backprop.utils.functions module backprop.utils.helpers module backprop.utils.load module backprop.utils.losses.triplet_loss module backprop.utils.samplers module backprop.utils.save module backprop.utils.upload module base64_to_img() (in module backprop.utils.helpers) BaseModel (class in backprop.models.generic_models) BaseModel.to() (in module backprop.models.generic_models), [1], [2], [3] basic_clean() (in module backprop.models.clip.simple_tokenizer) Bottleneck (class in backprop.models.clip.model) bpe() (SimpleTokenizer method) build_attention_mask() (CLIP method) build_model() (in module backprop.models.clip.model) bytes_to_unicode() (in module backprop.models.clip.simple_tokenizer)

C

calculate_probability() (HFNLIModel method) classify() (HFNLIModel method) CLIP (class in backprop.models.clip.model) (class in backprop.models.clip.module) configure_optimizers() (EfficientNet method) (Emotion method) (ImageClassification method) (ImageTextVectorisation method) (ImageVectorisation method) (QA method) (STModel method) (Summarisation method) (Task method) (TextClassification method) (TextGeneration method) (TextVectorisation method)

convert_weights() (in module backprop.models.clip.model) cosine_similarity() (in module backprop.utils.functions)

D

decode() (SimpleTokenizer method) default_bpe() (in module backprop.models.clip.simple_tokenizer) default_local_model (Task attribute) description (BaseModel attribute) (CLIP attribute) (EfficientNet attribute) (HFCausalLMTGModel attribute) (HFModel attribute) (HFNLIModel attribute) (HFSeq2SeqTGModel attribute) (HFSeqTCModel attribute) (PathModel attribute) (STModel attribute) (T5QASummaryEmotion attribute) details (BaseModel attribute) (CLIP attribute) (EfficientNet attribute) (HFCausalLMTGModel attribute) (HFModel attribute) (HFNLIModel attribute) (HFSeq2SeqTGModel attribute) (HFSeqTCModel attribute) (PathModel attribute) (STModel attribute) (T5QASummaryEmotion attribute)

device (CLIP attribute) (EfficientNet attribute) (Emotion attribute) (HFCausalLMTGModel attribute) (HFModel attribute) (HFNLIModel attribute) (HFSeq2SeqTGModel attribute) (HFSeqTCModel attribute) (ImageClassification attribute) (ImageTextVectorisation attribute) (ImageVectorisation attribute) (PathModel attribute) (QA attribute) (STModel attribute) (Summarisation attribute) (T5QASummaryEmotion attribute) (Task attribute) (TextClassification attribute) (TextGeneration attribute) (TextVectorisation attribute) download() (in module backprop.utils.download) dtype() (CLIP property)

E

EfficientNet (class in backprop.models.efficientnet.model) elementwise_affine (LayerNorm attribute) emote_or_summary() (T5QASummaryEmotion method) Emotion (class in backprop.tasks.emotion) encode() (HFSeqTCModel method) (SimpleTokenizer method) encode_image() (CLIP method)

encode_input() (HFSeq2SeqTGModel method) (T5QASummaryEmotion method) encode_output() (HFSeq2SeqTGModel method) (T5QASummaryEmotion method) encode_text() (CLIP method) eps (LayerNorm attribute) eval() (BaseModel method) expansion (Bottleneck attribute)

F

finetune() (BaseModel method) (Emotion method) (ImageClassification method) (ImageTextVectorisation method) (ImageVectorisation method) (QA method) (Summarisation method) (Task method) (TextClassification method) (TextGeneration method) (TextVectorisation method)

forward() (AttentionPool2d method) (Bottleneck method) (CLIP method) (LayerNorm method) (ModifiedResNet method) (QuickGELU method) (ResidualAttentionBlock method) (Transformer method) (TripletLoss method) (VisualTransformer method) from_pretrained() (AutoModel static method)

G

generate() (HFTextGenerationModel method)

get_label_probabilities() (HFSeqTCModel method) get_pairs() (in module backprop.models.clip.simple_tokenizer)

H

HFCausalLMTGModel (class in backprop.models.hf_causallm_tg_model.model) HFModel (class in backprop.models.generic_models) HFNLIModel (class in backprop.models.hf_nli_model.model)

HFSeq2SeqTGModel (class in backprop.models.hf_seq2seq_tg_model.model) HFSeqTCModel (class in backprop.models.hf_seq_tc_model.model) HFTextGenerationModel (class in backprop.models.generic_models)

I

image_classification() (CLIP method) (EfficientNet method) image_text_vectorisation() (CLIP method) image_vectorisation() (CLIP method) ImageClassification (class in backprop.tasks.image_classification) ImageGroupDataset (class in backprop.utils.datasets) ImagePairDataset (class in backprop.utils.datasets) ImageTextGroupDataset (class in backprop.utils.datasets) ImageTextPairDataset (class in backprop.utils.datasets) ImageTextVectorisation (class in backprop.tasks.image_text_vectorisation) ImageVectorisation (class in backprop.tasks.image_vectorisation)

img_to_base64() (in module backprop.utils.helpers) init_model (CLIP attribute) (EfficientNet attribute) (HFModel attribute) (PathModel attribute) (STModel attribute) init_pre_finetune() (HFSeqTCModel method) init_tokenizer (CLIP attribute) (HFModel attribute) (PathModel attribute) initialize_parameters() (CLIP method)

L

LayerNorm (class in backprop.models.clip.model) list_models() (AutoModel static method) (CLIP static method) (EfficientNet static method) (Emotion static method) (HFCausalLMTGModel static method) (HFNLIModel static method) (HFSeq2SeqTGModel static method) (HFSeqTCModel static method) (ImageClassification static method) (ImageTextVectorisation static method) (ImageVectorisation static method) (QA static method) (STModel static method) (Summarisation static method) (T5QASummaryEmotion static method) (TextClassification static method) (TextGeneration static method) (TextVectorisation static method)

load() (in module backprop.models.clip.clip) (in module backprop.utils.load) local (Emotion attribute) (ImageClassification attribute) (ImageTextVectorisation attribute) (ImageVectorisation attribute) (QA attribute) (Summarisation attribute) (Task attribute) (TextClassification attribute) (TextGeneration attribute) (TextVectorisation attribute)

M

max_length (STModel attribute) model (BaseModel attribute) (Emotion attribute) (ImageClassification attribute) (ImageTextVectorisation attribute) (ImageVectorisation attribute) (QA attribute) (Summarisation attribute) (Task attribute) (TextClassification attribute) (TextGeneration attribute) (TextVectorisation attribute) model_class (HFCausalLMTGModel attribute) (HFNLIModel attribute) (HFSeq2SeqTGModel attribute) (HFSeqTCModel attribute) model_path (CLIP attribute) (EfficientNet attribute) (HFCausalLMTGModel attribute) (HFModel attribute) (HFNLIModel attribute) (HFSeq2SeqTGModel attribute) (HFSeqTCModel attribute) (PathModel attribute) (STModel attribute) (T5QASummaryEmotion attribute) models (Task attribute) ModifiedResNet (class in backprop.models.clip.model) module backprop backprop.models backprop.models.auto_model backprop.models.clip.clip backprop.models.clip.model backprop.models.clip.models_list backprop.models.clip.module backprop.models.clip.simple_tokenizer backprop.models.efficientnet.model backprop.models.efficientnet.models_list backprop.models.generic_models backprop.models.hf_causallm_tg_model.model backprop.models.hf_causallm_tg_model.models_list backprop.models.hf_nli_model.model backprop.models.hf_nli_model.models_list backprop.models.hf_seq2seq_tg_model.model backprop.models.hf_seq2seq_tg_model.models_list backprop.models.hf_seq_tc_model.model backprop.models.hf_seq_tc_model.models_list backprop.models.st_model.model backprop.models.st_model.models_list backprop.models.t5_qa_summary_emotion.model backprop.models.t5_qa_summary_emotion.models_list backprop.tasks.base backprop.tasks.emotion backprop.tasks.image_classification backprop.tasks.image_text_vectorisation backprop.tasks.image_vectorisation backprop.tasks.qa backprop.tasks.summarisation backprop.tasks.text_classification backprop.tasks.text_generation backprop.tasks.text_vectorisation backprop.utils.datasets backprop.utils.download backprop.utils.functions backprop.utils.helpers backprop.utils.load backprop.utils.losses.triplet_loss backprop.utils.samplers backprop.utils.save backprop.utils.upload

MultiLabelImageClassificationDataset (class in backprop.utils.datasets)

N

name (BaseModel attribute) (CLIP attribute) (EfficientNet attribute) (HFCausalLMTGModel attribute) (HFModel attribute) (HFNLIModel attribute) (HFSeq2SeqTGModel attribute) (HFSeqTCModel attribute) (PathModel attribute) (STModel attribute) (T5QASummaryEmotion attribute)

normalized_shape (LayerNorm attribute) num_parameters() (BaseModel method)

P

pairwise_distance_torch() (in module backprop.utils.losses.triplet_loss) path_to_img() (in module backprop.utils.helpers) PathModel (class in backprop.models.generic_models) pre_finetuning() (EfficientNet method) process_batch() (CLIP method) (EfficientNet method) (HFSeq2SeqTGModel method) (HFSeqTCModel method) (STModel method) (T5QASummaryEmotion method)

process_qa() (T5QASummaryEmotion method)

Q

QA (class in backprop.tasks.qa)

qa() (T5QASummaryEmotion method) QuickGELU (class in backprop.models.clip.model)

R

ResidualAttentionBlock (class in backprop.models.clip.model)

S

SameGroupSampler (class in backprop.utils.samplers) save() (in module backprop.utils.save) (Task method) SimpleTokenizer (class in backprop.models.clip.simple_tokenizer) SingleLabelImageClassificationDataset (class in backprop.utils.datasets) SingleLabelTextClassificationDataset (class in backprop.utils.datasets) step() (Emotion method) (QA method) (Summarisation method) (Task method) (TextClassification method) (TextGeneration method)

step_cosine() (ImageTextVectorisation method) (ImageVectorisation method) (TextVectorisation method) step_multi_label() (ImageClassification method) step_single_label() (ImageClassification method) step_triplet() (ImageTextVectorisation method) (ImageVectorisation method) (TextVectorisation method) STModel (class in backprop.models.st_model.model) Summarisation (class in backprop.tasks.summarisation)

T

T5QASummaryEmotion (class in backprop.models.t5_qa_summary_emotion.model) Task (class in backprop.tasks.base) tasks (BaseModel attribute) (CLIP attribute) (EfficientNet attribute) (HFCausalLMTGModel attribute) (HFModel attribute) (HFNLIModel attribute) (HFSeq2SeqTGModel attribute) (HFSeqTCModel attribute) (PathModel attribute) (STModel attribute) (T5QASummaryEmotion attribute) text_vectorisation() (CLIP method) TextClassification (class in backprop.tasks.text_classification) TextGeneration (class in backprop.tasks.text_generation) TextGroupDataset (class in backprop.utils.datasets) TextPairDataset (class in backprop.utils.datasets) TextToTextDataset (class in backprop.utils.datasets) TextVectorisation (class in backprop.tasks.text_vectorisation) to() (BaseModel method) tokenize() (in module backprop.models.clip.clip) tokenizer_class (HFCausalLMTGModel attribute) (HFNLIModel attribute) (HFSeq2SeqTGModel attribute) (HFSeqTCModel attribute) tokenizer_path (HFCausalLMTGModel attribute) (HFModel attribute) (HFNLIModel attribute) (HFSeq2SeqTGModel attribute) (HFSeqTCModel attribute) (PathModel attribute) train() (BaseModel method) train_dataloader() (Task method) train_dataloader_triplet() (ImageTextVectorisation method) (ImageVectorisation method) (TextVectorisation method) training (AttentionPool2d attribute) (BaseModel attribute) (Bottleneck attribute) (CLIP attribute), [1] (EfficientNet attribute) (Emotion attribute) (HFCausalLMTGModel attribute) (HFModel attribute) (HFNLIModel attribute) (HFSeq2SeqTGModel attribute) (HFSeqTCModel attribute) (HFTextGenerationModel attribute) (ImageClassification attribute) (ImageTextVectorisation attribute) (ImageVectorisation attribute) (ModifiedResNet attribute) (PathModel attribute) (QA attribute) (QuickGELU attribute) (ResidualAttentionBlock attribute) (STModel attribute) (Summarisation attribute) (T5QASummaryEmotion attribute) (Task attribute) (TextClassification attribute) (TextGeneration attribute) (TextVectorisation attribute) (Transformer attribute) (TripletLoss attribute) (VisualTransformer attribute)

training_step() (CLIP method) (EfficientNet method) (HFSeq2SeqTGModel method) (HFSeqTCModel method) (STModel method) (T5QASummaryEmotion method) (Task method) Transformer (class in backprop.models.clip.model) TripletLoss (class in backprop.utils.losses.triplet_loss) TripletSemiHardLoss() (in module backprop.utils.losses.triplet_loss)

U

upload() (in module backprop.utils.upload) (Task method)

V

val_dataloader() (Task method) val_dataloader_triplet() (ImageTextVectorisation method) (ImageVectorisation method) (TextVectorisation method)

validation_step() (Task method) vectorise() (STModel method) VisualTransformer (class in backprop.models.clip.model)

W

whitespace_clean() (in module backprop.models.clip.simple_tokenizer)