Index

_

__call__() (langml.baselines.BaseDataLoader method) (langml.baselines.clf.dataloader.TFDataLoader method) (langml.baselines.clf.Infer method) (langml.baselines.contrastive.simcse.dataloder.TFDataLoader method) (langml.baselines.contrastive.simcse.TFDataLoader method) (langml.baselines.matching.sbert.dataloder.TFDataLoader method) (langml.baselines.matching.sbert.TFDataLoader method) (langml.baselines.ner.dataloader.TFDataLoader method) (langml.baselines.ner.Infer method) (langml.plm.bert.BERT method) (langml.prompt.base.BaseDataGenerator method) (langml.transformer.encoder.TransformerEncoder method) (langml.transformer.encoder.TransformerEncoderBlock method) __contains__() (langml.tokenizer.SpecialTokens method) __len__() (langml.baselines.BaseDataLoader method) (langml.baselines.clf.dataloader.DataLoader method) (langml.baselines.contrastive.simcse.DataLoader method) (langml.baselines.contrastive.simcse.dataloder.DataLoader method) (langml.baselines.matching.sbert.DataLoader method) (langml.baselines.matching.sbert.dataloder.DataLoader method) (langml.baselines.ner.dataloader.DataLoader method) (langml.prompt.base.BaseDataGenerator method) (langml.prompt.base.Template method) (langml.prompt.clf.ptuning.DataGenerator method) (langml.prompt.Template method)

__version__ (in module langml) _attention_penalty() (langml.layers.attention.SelfAdditiveAttention method) (langml.layers.attention.SelfAttention method) (langml.layers.SelfAdditiveAttention method) (langml.layers.SelfAttention method) _generate_zero_filled_state_for_cell() (in module langml.third_party.crf) _reshape_attention_from_batches() (langml.layers.attention.MultiHeadAttention static method) (langml.layers.MultiHeadAttention static method) _reshape_from_batches() (langml.layers.attention.MultiHeadAttention static method) (langml.layers.MultiHeadAttention static method) _reshape_mask() (langml.layers.attention.MultiHeadAttention static method) (langml.layers.MultiHeadAttention static method) _reshape_to_batches() (langml.layers.attention.MultiHeadAttention static method) (langml.layers.MultiHeadAttention static method) _wrap() (langml.baselines.Parameters method)

A

AbsolutePositionEmbedding (class in langml.layers) (class in langml.layers.layers) AbstractRNNCell (class in langml.third_party.crf) accuracy (langml.layers.CRF property) (langml.layers.crf.CRF property) Activation (in module langml.tensor_typing) add() (langml.baselines.Parameters method)

add_special_tokens() (langml.tokenizer.WPTokenizer method) aeda_augment() (in module langml.baselines.contrastive.utils) ANY_SPACE (in module langml.third_party.conlleval) apply_rotary_position_embeddings() (langml.layers.attention.GatedAttentionUnit method) (langml.layers.GatedAttentionUnit method) attn() (langml.layers.attention.GatedAttentionUnit method) (langml.layers.GatedAttentionUnit method) auto_tokenizer() (in module langml.utils)

B

BaseDataGenerator (class in langml.prompt.base) BaseDataLoader (class in langml.baselines) baseline() (in module langml.baselines.cli) BaselineModel (class in langml.baselines) BasePromptModel (class in langml.prompt.base) BasePromptTask (class in langml.prompt.base) BERT (class in langml.plm.bert) bert() (in module langml.baselines.clf.cli) bert_crf() (in module langml.baselines.ner.cli) BertClassifier (class in langml.baselines.clf.bert) BertCRF (class in langml.baselines.ner.bert_crf) bilstm() (in module langml.baselines.clf.cli) BiLSTMClassifier (class in langml.baselines.clf.bilstm) bio_decode() (in module langml.baselines.ner) (in module langml.utils) build() (langml.layers.AbsolutePositionEmbedding method) (langml.layers.attention.GatedAttentionUnit method) (langml.layers.attention.MultiHeadAttention method) (langml.layers.attention.SelfAdditiveAttention method) (langml.layers.attention.SelfAttention method) (langml.layers.ConditionalLayerNormalization method) (langml.layers.CRF method) (langml.layers.crf.CRF method) (langml.layers.GatedAttentionUnit method) (langml.layers.layer_norm.LayerNorm method) (langml.layers.LayerNorm method) (langml.layers.layers.AbsolutePositionEmbedding method) (langml.layers.layers.ConditionalLayerNormalization method) (langml.layers.layers.ScaleOffset method) (langml.layers.MultiHeadAttention method) (langml.layers.ScaleOffset method) (langml.layers.SelfAdditiveAttention method) (langml.layers.SelfAttention method) (langml.plm.bert.BERT method) (langml.plm.EmbeddingMatching method) (langml.plm.layers.EmbeddingMatching method) (langml.third_party.crf.CrfDecodeForwardRnnCell method) (langml.transformer.FeedForward method) (langml.transformer.layers.FeedForward method)

build_model() (langml.baselines.BaselineModel method) (langml.baselines.clf.bert.BertClassifier method) (langml.baselines.clf.bilstm.BiLSTMClassifier method) (langml.baselines.clf.textcnn.TextCNNClassifier method) (langml.baselines.contrastive.simcse.model.SimCSE method) (langml.baselines.contrastive.simcse.SimCSE method) (langml.baselines.matching.sbert.model.SentenceBert method) (langml.baselines.matching.sbert.SentenceBert method) (langml.baselines.ner.bert_crf.BertCRF method) (langml.baselines.ner.lstm_crf.LSTMCRF method) (langml.prompt.base.BasePromptModel method) (langml.prompt.models.ptuning.PTuniningPrompt method) (langml.prompt.models.PTuniningPrompt method) (langml.prompt.PTuniningPrompt method)

C

calculate_metrics() (in module langml.third_party.conlleval) call() (langml.layers.AbsolutePositionEmbedding method) (langml.layers.attention.GatedAttentionUnit method) (langml.layers.attention.MultiHeadAttention method) (langml.layers.attention.ScaledDotProductAttention method) (langml.layers.attention.SelfAdditiveAttention method) (langml.layers.attention.SelfAttention method) (langml.layers.ConditionalLayerNormalization method) (langml.layers.CRF method) (langml.layers.crf.CRF method) (langml.layers.GatedAttentionUnit method) (langml.layers.layer_norm.LayerNorm method) (langml.layers.LayerNorm method) (langml.layers.layers.AbsolutePositionEmbedding method) (langml.layers.layers.ConditionalLayerNormalization method) (langml.layers.layers.ScaleOffset method) (langml.layers.layers.SineCosinePositionEmbedding method) (langml.layers.MultiHeadAttention method) (langml.layers.ScaledDotProductAttention method) (langml.layers.ScaleOffset method) (langml.layers.SelfAdditiveAttention method) (langml.layers.SelfAttention method) (langml.layers.SineCosinePositionEmbedding method) (langml.plm.EmbeddingMatching method) (langml.plm.layers.EmbeddingMatching method) (langml.plm.layers.Masked method) (langml.plm.layers.TokenEmbedding method) (langml.plm.Masked method) (langml.plm.TokenEmbedding method) (langml.prompt.models.PartialEmbedding method) (langml.prompt.models.ptuning.PartialEmbedding method) (langml.third_party.crf.AbstractRNNCell method) (langml.third_party.crf.CrfDecodeForwardRnnCell method) (langml.transformer.FeedForward method) (langml.transformer.layers.FeedForward method) clf() (in module langml.baselines.clf.cli) cli() (in module langml.cli) CLS (langml.tokenizer.SpecialTokens attribute) CN_PUNCTUATIONS (in module langml.baselines.contrastive.utils) compute_corrcoef() (langml.common.evaluator.spearman.SpearmanEvaluator method) (langml.common.evaluator.SpearmanEvaluator method) compute_detail_metrics() (in module langml.baselines.clf) (in module langml.baselines.ner) compute_mask() (langml.layers.AbsolutePositionEmbedding method) (langml.layers.attention.GatedAttentionUnit method) (langml.layers.attention.MultiHeadAttention method) (langml.layers.attention.ScaledDotProductAttention method) (langml.layers.attention.SelfAdditiveAttention method) (langml.layers.attention.SelfAttention method) (langml.layers.ConditionalLayerNormalization method) (langml.layers.CRF method) (langml.layers.crf.CRF method) (langml.layers.GatedAttentionUnit method) (langml.layers.layer_norm.LayerNorm method) (langml.layers.LayerNorm method) (langml.layers.layers.AbsolutePositionEmbedding method) (langml.layers.layers.ConditionalLayerNormalization method) (langml.layers.layers.ScaleOffset method) (langml.layers.layers.SineCosinePositionEmbedding method) (langml.layers.MultiHeadAttention method) (langml.layers.ScaledDotProductAttention method) (langml.layers.ScaleOffset method) (langml.layers.SelfAdditiveAttention method) (langml.layers.SelfAttention method) (langml.layers.SineCosinePositionEmbedding method) (langml.plm.EmbeddingMatching method) (langml.plm.layers.EmbeddingMatching method) (langml.plm.layers.Masked method) (langml.plm.layers.TokenEmbedding method) (langml.plm.Masked method) (langml.plm.TokenEmbedding method) (langml.prompt.models.PartialEmbedding method) (langml.prompt.models.ptuning.PartialEmbedding method) (langml.third_party.crf.CrfDecodeForwardRnnCell method) (langml.transformer.FeedForward method) (langml.transformer.layers.FeedForward method)

compute_output_shape() (langml.layers.AbsolutePositionEmbedding method) (langml.layers.attention.GatedAttentionUnit method) (langml.layers.attention.MultiHeadAttention method) (langml.layers.attention.ScaledDotProductAttention method) (langml.layers.attention.SelfAdditiveAttention method) (langml.layers.attention.SelfAttention method) (langml.layers.ConditionalLayerNormalization method) (langml.layers.CRF method) (langml.layers.crf.CRF method) (langml.layers.GatedAttentionUnit method) (langml.layers.layer_norm.LayerNorm method) (langml.layers.LayerNorm method) (langml.layers.layers.AbsolutePositionEmbedding method) (langml.layers.layers.ConditionalLayerNormalization method) (langml.layers.layers.ScaleOffset method) (langml.layers.layers.SineCosinePositionEmbedding method) (langml.layers.MultiHeadAttention method) (langml.layers.ScaledDotProductAttention method) (langml.layers.ScaleOffset method) (langml.layers.SelfAdditiveAttention method) (langml.layers.SelfAttention method) (langml.layers.SineCosinePositionEmbedding method) (langml.plm.EmbeddingMatching method) (langml.plm.layers.EmbeddingMatching method) (langml.plm.layers.Masked method) (langml.plm.layers.TokenEmbedding method) (langml.plm.Masked method) (langml.plm.TokenEmbedding method) (langml.prompt.models.PartialEmbedding method) (langml.prompt.models.ptuning.PartialEmbedding method) (langml.transformer.FeedForward method) (langml.transformer.layers.FeedForward method) ConditionalLayerNormalization (class in langml.layers) (class in langml.layers.layers) Constraint (in module langml.tensor_typing) contrastive() (in module langml.baselines.contrastive.cli) CRF (class in langml.layers) (class in langml.layers.crf) crf_binary_score() (in module langml.third_party.crf) crf_constrained_decode() (in module langml.third_party.crf) crf_decode() (in module langml.third_party.crf) crf_decode_backward() (in module langml.third_party.crf) crf_decode_forward() (in module langml.third_party.crf) crf_filtered_inputs() (in module langml.third_party.crf) crf_forward() (in module langml.third_party.crf) crf_log_likelihood() (in module langml.third_party.crf) crf_log_norm() (in module langml.third_party.crf) crf_multitag_sequence_score() (in module langml.third_party.crf) crf_sequence_score() (in module langml.third_party.crf) crf_unary_score() (in module langml.third_party.crf) CrfDecodeForwardRnnCell (class in langml.third_party.crf) custom_objects (in module langml.activations) (in module langml.layers) (in module langml.plm) (in module langml.prompt.models) (in module langml.transformer)

D

DataGenerator (class in langml.prompt.clf.ptuning) DataLoader (class in langml.baselines.clf.dataloader) (class in langml.baselines.contrastive.simcse) (class in langml.baselines.contrastive.simcse.dataloder) (class in langml.baselines.matching.sbert) (class in langml.baselines.matching.sbert.dataloder) (class in langml.baselines.ner.dataloader)

debug (in module langml.log) decode() (langml.tokenizer.SPTokenizer method) (langml.tokenizer.Tokenizer method) (langml.tokenizer.WPTokenizer method) decode_label() (langml.prompt.base.Template method) (langml.prompt.Template method) decode_one() (langml.baselines.ner.Infer method) deprecated_warning() (in module langml.utils)

E

EmbeddingMatching (class in langml.plm) (class in langml.plm.layers) EN_PUNCTUATIONS (in module langml.baselines.contrastive.utils) enable_truncation() (langml.tokenizer.Tokenizer method) encode() (langml.tokenizer.Tokenizer method) encode_batch() (langml.tokenizer.Tokenizer method) encode_data() (langml.baselines.ner.dataloader.DataLoader method) encode_label_tokens_map() (langml.prompt.base.Template method) (langml.prompt.Template method)

encode_template() (langml.prompt.base.Template method) (langml.prompt.Template method) Encoding (class in langml.tokenizer) end_of_chunk() (in module langml.third_party.conlleval) error (in module langml.log) EvalCounts (class in langml.third_party.conlleval) evaluate() (in module langml.third_party.conlleval) export_model_v1() (in module langml.model)

F

FeedForward (class in langml.transformer) (class in langml.transformer.layers) fit() (langml.prompt.base.BasePromptTask method) (langml.prompt.clf.ptuning.PTuningForClassification method) (langml.prompt.clf.PTuningForClassification method) (langml.prompt.PTuningForClassification method)

FormatError from_config() (langml.third_party.crf.CrfDecodeForwardRnnCell class method)

G

GatedAttentionUnit (class in langml.layers) (class in langml.layers.attention) gelu() (in module langml.activations) get_config() (langml.layers.AbsolutePositionEmbedding method) (langml.layers.attention.GatedAttentionUnit method) (langml.layers.attention.MultiHeadAttention method) (langml.layers.attention.ScaledDotProductAttention method) (langml.layers.attention.SelfAdditiveAttention method) (langml.layers.attention.SelfAttention method) (langml.layers.ConditionalLayerNormalization method) (langml.layers.CRF method) (langml.layers.crf.CRF method) (langml.layers.GatedAttentionUnit method) (langml.layers.layer_norm.LayerNorm method) (langml.layers.LayerNorm method) (langml.layers.layers.AbsolutePositionEmbedding method) (langml.layers.layers.ConditionalLayerNormalization method) (langml.layers.layers.ScaleOffset method) (langml.layers.layers.SineCosinePositionEmbedding method) (langml.layers.MultiHeadAttention method) (langml.layers.ScaledDotProductAttention method) (langml.layers.ScaleOffset method) (langml.layers.SelfAdditiveAttention method) (langml.layers.SelfAttention method) (langml.layers.SineCosinePositionEmbedding method) (langml.plm.EmbeddingMatching method) (langml.plm.layers.EmbeddingMatching method) (langml.plm.layers.Masked method) (langml.plm.Masked method) (langml.third_party.crf.CrfDecodeForwardRnnCell method) (langml.transformer.FeedForward method) (langml.transformer.layers.FeedForward method) get_custom_objects() (langml.layers.AbsolutePositionEmbedding static method) (langml.layers.attention.GatedAttentionUnit static method) (langml.layers.attention.MultiHeadAttention static method) (langml.layers.attention.ScaledDotProductAttention static method) (langml.layers.attention.SelfAdditiveAttention static method) (langml.layers.attention.SelfAttention static method) (langml.layers.ConditionalLayerNormalization static method) (langml.layers.CRF static method) (langml.layers.crf.CRF static method) (langml.layers.GatedAttentionUnit static method) (langml.layers.layer_norm.LayerNorm static method) (langml.layers.LayerNorm static method) (langml.layers.layers.AbsolutePositionEmbedding static method) (langml.layers.layers.ConditionalLayerNormalization static method) (langml.layers.layers.ScaleOffset static method) (langml.layers.layers.SineCosinePositionEmbedding static method) (langml.layers.MultiHeadAttention static method) (langml.layers.ScaledDotProductAttention static method) (langml.layers.ScaleOffset static method) (langml.layers.SelfAdditiveAttention static method) (langml.layers.SelfAttention static method) (langml.layers.SineCosinePositionEmbedding static method) (langml.plm.EmbeddingMatching static method) (langml.plm.layers.EmbeddingMatching static method) (langml.plm.layers.Masked static method) (langml.plm.layers.TokenEmbedding static method) (langml.plm.Masked static method) (langml.plm.TokenEmbedding static method) (langml.prompt.models.PartialEmbedding static method) (langml.prompt.models.ptuning.PartialEmbedding static method) (langml.transformer.FeedForward static method) (langml.transformer.layers.FeedForward static method)

get_embedding() (langml.plm.bert.BERT method) get_initial_state() (langml.third_party.crf.AbstractRNNCell method) get_inputs() (langml.plm.bert.BERT method) get_pooling_output() (langml.baselines.contrastive.simcse.model.SimCSE method) (langml.baselines.contrastive.simcse.SimCSE method) (langml.baselines.matching.sbert.model.SentenceBert method) (langml.baselines.matching.sbert.SentenceBert method) get_random_string() (in module langml.model) get_vocab() (langml.tokenizer.SPTokenizer method) (langml.tokenizer.Tokenizer method) (langml.tokenizer.WPTokenizer method) get_vocab_size() (langml.tokenizer.SPTokenizer method) (langml.tokenizer.Tokenizer method) (langml.tokenizer.WPTokenizer method) get_weight_name() (langml.plm.bert.BERT method)

I

id_to_token() (langml.tokenizer.SPTokenizer method) (langml.tokenizer.Tokenizer method) (langml.tokenizer.WPTokenizer method) ids (langml.tokenizer.Encoding attribute)

Infer (class in langml.baselines.clf) (class in langml.baselines.ner) info (in module langml.log) Initializer (in module langml.tensor_typing) is_trainable() (langml.plm.bert.BERT method)

L

langml module langml.activations module langml.baselines module langml.baselines.clf module langml.baselines.clf.bert module langml.baselines.clf.bilstm module langml.baselines.clf.cli module langml.baselines.clf.dataloader module langml.baselines.clf.textcnn module langml.baselines.cli module langml.baselines.contrastive module langml.baselines.contrastive.cli module langml.baselines.contrastive.simcse module langml.baselines.contrastive.simcse.dataloder module langml.baselines.contrastive.simcse.model module langml.baselines.contrastive.utils module langml.baselines.matching module langml.baselines.matching.cli module langml.baselines.matching.sbert module langml.baselines.matching.sbert.dataloder module langml.baselines.matching.sbert.model module langml.baselines.ner module langml.baselines.ner.bert_crf module langml.baselines.ner.cli module langml.baselines.ner.dataloader module langml.baselines.ner.lstm_crf module langml.cli module langml.common module langml.common.evaluator module langml.common.evaluator.spearman module langml.layers module langml.layers.attention module langml.layers.crf module langml.layers.layer_norm module

langml.layers.layers module langml.log module langml.model module langml.plm module langml.plm.albert module langml.plm.bert module langml.plm.layers module langml.prompt module langml.prompt.base module langml.prompt.clf module langml.prompt.clf.ptuning module langml.prompt.clf.utils module langml.prompt.models module langml.prompt.models.ptuning module langml.tensor_typing module langml.third_party module langml.third_party.conlleval module langml.third_party.crf module langml.tokenizer module langml.transformer module langml.transformer.encoder module langml.transformer.layers module langml.utils module LayerNorm (class in langml.layers) (class in langml.layers.layer_norm) load() (langml.prompt.clf.ptuning.PTuningForClassification method) (langml.prompt.clf.PTuningForClassification method) (langml.prompt.PTuningForClassification method) load_albert() (in module langml.plm) (in module langml.plm.albert) load_bert() (in module langml.plm) (in module langml.plm.bert) load_data() (langml.baselines.BaseDataLoader static method) (langml.baselines.clf.dataloader.DataLoader static method) (langml.baselines.contrastive.simcse.DataLoader static method) (langml.baselines.contrastive.simcse.dataloder.DataLoader static method) (langml.baselines.matching.sbert.DataLoader static method) (langml.baselines.matching.sbert.dataloder.DataLoader static method) (langml.baselines.ner.dataloader.DataLoader static method) load_frozen() (in module langml.model) load_variables() (in module langml.utils) loss (langml.layers.CRF property) (langml.layers.crf.CRF property) lstm_crf() (in module langml.baselines.ner.cli) LSTMCRF (class in langml.baselines.ner.lstm_crf)

M

main() (in module langml.cli) (in module langml.third_party.conlleval) make_iter() (langml.baselines.BaseDataLoader method) (langml.baselines.clf.dataloader.DataLoader method) (langml.baselines.clf.dataloader.TFDataLoader method) (langml.baselines.contrastive.simcse.DataLoader method) (langml.baselines.contrastive.simcse.dataloder.DataLoader method) (langml.baselines.contrastive.simcse.dataloder.TFDataLoader method) (langml.baselines.contrastive.simcse.TFDataLoader method) (langml.baselines.matching.sbert.DataLoader method) (langml.baselines.matching.sbert.dataloder.DataLoader method) (langml.baselines.matching.sbert.dataloder.TFDataLoader method) (langml.baselines.matching.sbert.TFDataLoader method) (langml.baselines.ner.dataloader.DataLoader method) (langml.baselines.ner.dataloader.TFDataLoader method) (langml.prompt.base.BaseDataGenerator method) (langml.prompt.clf.ptuning.DataGenerator method) MASK (langml.tokenizer.SpecialTokens attribute) Masked (class in langml.plm) (class in langml.plm.layers) matching() (in module langml.baselines.matching.cli) merge_template_tokens() (in module langml.prompt.clf.utils) Metrics (in module langml.third_party.conlleval) metrics() (in module langml.third_party.conlleval) MetricsCallback (class in langml.prompt.clf.utils) Models (in module langml.baselines.clf) (in module langml.baselines.ner) (in module langml.tensor_typing) module langml langml.activations langml.baselines langml.baselines.clf langml.baselines.clf.bert langml.baselines.clf.bilstm langml.baselines.clf.cli langml.baselines.clf.dataloader langml.baselines.clf.textcnn langml.baselines.cli langml.baselines.contrastive langml.baselines.contrastive.cli langml.baselines.contrastive.simcse langml.baselines.contrastive.simcse.dataloder langml.baselines.contrastive.simcse.model langml.baselines.contrastive.utils langml.baselines.matching langml.baselines.matching.cli langml.baselines.matching.sbert langml.baselines.matching.sbert.dataloder langml.baselines.matching.sbert.model langml.baselines.ner langml.baselines.ner.bert_crf langml.baselines.ner.cli langml.baselines.ner.dataloader langml.baselines.ner.lstm_crf langml.cli langml.common langml.common.evaluator langml.common.evaluator.spearman langml.layers langml.layers.attention langml.layers.crf langml.layers.layer_norm langml.layers.layers langml.log langml.model langml.plm langml.plm.albert langml.plm.bert langml.plm.layers langml.prompt langml.prompt.base langml.prompt.clf langml.prompt.clf.ptuning langml.prompt.clf.utils langml.prompt.models langml.prompt.models.ptuning langml.tensor_typing langml.third_party langml.third_party.conlleval langml.third_party.crf langml.tokenizer langml.transformer langml.transformer.encoder langml.transformer.layers langml.utils

MultiHeadAttention (class in langml.layers) (class in langml.layers.attention)

N

ner() (in module langml.baselines.ner.cli)

Number (in module langml.tensor_typing)

O

on_epoch_end() (langml.prompt.clf.utils.MetricsCallback method) on_train_begin() (langml.prompt.clf.utils.MetricsCallback method) on_train_end() (langml.prompt.clf.utils.MetricsCallback method)

Optimizer (in module langml.tensor_typing) output_size (langml.third_party.crf.AbstractRNNCell property) (langml.third_party.crf.CrfDecodeForwardRnnCell property)

P

PAD (langml.tokenizer.SpecialTokens attribute) Parameters (class in langml.baselines) parse_args() (in module langml.third_party.conlleval) parse_tag() (in module langml.third_party.conlleval) PartialEmbedding (class in langml.prompt.models) (class in langml.prompt.models.ptuning) predict() (langml.prompt.base.BasePromptTask method) (langml.prompt.clf.ptuning.PTuningForClassification method) (langml.prompt.clf.PTuningForClassification method) (langml.prompt.PTuningForClassification method)

print_log() (in module langml.log) PTuningForClassification (class in langml.prompt) (class in langml.prompt.clf) (class in langml.prompt.clf.ptuning) PTuniningPrompt (class in langml.prompt) (class in langml.prompt.models) (class in langml.prompt.models.ptuning)

R

raw_tokenizer() (langml.tokenizer.Tokenizer method) re_split (in module langml.baselines.ner) Regularizer (in module langml.tensor_typing)

relu2() (in module langml.activations) report() (in module langml.third_party.conlleval) report_notprint() (in module langml.third_party.conlleval) return_report() (in module langml.third_party.conlleval)

S

save_frozen() (in module langml.model) SAVED_MODEL_TAG (in module langml.model) sbert() (in module langml.baselines.matching.cli) ScaledDotProductAttention (class in langml.layers) (class in langml.layers.attention) ScaleOffset (class in langml.layers) (class in langml.layers.layers) segment_ids (langml.tokenizer.Encoding attribute) SelfAdditiveAttention (class in langml.layers) (class in langml.layers.attention) SelfAttention (class in langml.layers) (class in langml.layers.attention) SentenceBert (class in langml.baselines.matching.sbert) (class in langml.baselines.matching.sbert.model) SEP (langml.tokenizer.SpecialTokens attribute)

sequence_lower() (langml.tokenizer.Tokenizer method) sequence_truncating() (langml.tokenizer.Tokenizer method) SimCSE (class in langml.baselines.contrastive.simcse) (class in langml.baselines.contrastive.simcse.model) simcse() (in module langml.baselines.contrastive.cli) simcse_loss() (in module langml.baselines.contrastive.simcse.model) SineCosinePositionEmbedding (class in langml.layers) (class in langml.layers.layers) SpearmanEvaluator (class in langml.common.evaluator) (class in langml.common.evaluator.spearman) SpecialTokens (class in langml.tokenizer) SPTokenizer (class in langml.tokenizer) start_of_chunk() (in module langml.third_party.conlleval) state_size (langml.third_party.crf.AbstractRNNCell property) (langml.third_party.crf.CrfDecodeForwardRnnCell property) stem() (langml.tokenizer.Tokenizer method)

T

Template (class in langml.prompt) (class in langml.prompt.base) Tensors (in module langml.tensor_typing) textcnn() (in module langml.baselines.clf.cli) TextCNNClassifier (class in langml.baselines.clf.textcnn) TF_KERAS (in module langml) (in module langml.layers) (in module langml.transformer) TF_VERSION (in module langml) (in module langml.baselines.clf) (in module langml.baselines.ner) TFDataLoader (class in langml.baselines.clf.dataloader) (class in langml.baselines.contrastive.simcse) (class in langml.baselines.contrastive.simcse.dataloder) (class in langml.baselines.matching.sbert) (class in langml.baselines.matching.sbert.dataloder) (class in langml.baselines.ner.dataloader)

token_to_id() (langml.tokenizer.SPTokenizer method) (langml.tokenizer.Tokenizer method) (langml.tokenizer.WPTokenizer method) TokenEmbedding (class in langml.plm) (class in langml.plm.layers) tokenize() (langml.tokenizer.SPTokenizer method) (langml.tokenizer.Tokenizer method) (langml.tokenizer.WPTokenizer method) Tokenizer (class in langml.tokenizer) tokens (langml.tokenizer.Encoding attribute) tokens() (langml.tokenizer.SpecialTokens method) tokens_mapping() (langml.tokenizer.Tokenizer method) train() (in module langml.baselines.clf.cli) (in module langml.baselines.ner.cli) trans (langml.layers.CRF property) (langml.layers.crf.CRF property) TransformerEncoder (class in langml.transformer.encoder) TransformerEncoderBlock (class in langml.transformer.encoder)

U

uniq() (in module langml.third_party.conlleval)

UNK (langml.tokenizer.SpecialTokens attribute)

V

viterbi_decode() (in module langml.third_party.crf)

W

warn (in module langml.log)

whitespace_tokenize() (in module langml.baselines.contrastive.utils) WPTokenizer (class in langml.tokenizer)