stable
Overview
Key Features
Library API Example
Installation
Getting Started
Reference
License
Examples
Examples by Models/Algorithms
RNN / Seq2seq
Transformer (Self-attention)
Variational Autoencoder (VAE)
Classifier / Sequence Prediction
Examples by Tasks
Language Modeling
Machine Translation
Classification
HParams
Data
Tokenizer
TokenizerBase
SentencePieceTokenizer
BERTTokenizer
GPT2Tokenizer
RoBERTaTokenizer
XLNetTokenizer
T5Tokenizer
Vocabulary
SpecialTokens
Vocab
map_ids_to_strs
Embedding
Embedding
load_word2vec
load_glove
Data Sources
DataSource
SequenceDataSource
IterDataSource
ZipDataSource
FilterDataSource
RecordDataSource
TextLineDataSource
PickleDataSource
Data Loaders
DatasetBase
MonoTextData
PairedTextData
ScalarData
MultiAlignedData
RecordData
Data Iterators
Batch
DataIterator
TrainTestDataIterator
BatchingStrategy
TokenCountBatchingStrategy
Data Utilities
maybe_download
read_words
make_vocab
count_file_lines
Core
Attention Mechanism
AttentionWrapperState
LuongAttention
BahdanauAttention
BahdanauMonotonicAttention
LuongMonotonicAttention
compute_attention
monotonic_attention
hardmax
sparsemax
Cells
default_rnn_cell_hparams
get_rnn_cell
wrap_builtin_cell
RNNCellBase
RNNCell
GRUCell
LSTMCell
DropoutWrapper
ResidualWrapper
HighwayWrapper
MultiRNNCell
AttentionWrapper
Layers
get_layer
MaxReducePool1d
AvgReducePool1d
get_pooling_layer_hparams
MergeLayer
Flatten
Identity
default_regularizer_hparams
get_regularizer
get_initializer
get_activation_fn
Optimization
default_optimization_hparams
get_train_op
get_scheduler
get_optimizer
get_grad_clip_fn
Modules
ModuleBase
Embedders
WordEmbedder
PositionEmbedder
SinusoidsPositionEmbedder
EmbedderBase
Encoders
UnidirectionalRNNEncoder
BidirectionalRNNEncoder
MultiheadAttentionEncoder
TransformerEncoder
BERTEncoder
RoBERTaEncoder
GPT2Encoder
XLNetEncoder
Conv1DEncoder
EncoderBase
RNNEncoderBase
default_transformer_poswise_net_hparams
Decoders
DecoderBase
RNNDecoderBase
BasicRNNDecoder
BasicRNNDecoderOutput
AttentionRNNDecoder
AttentionRNNDecoderOutput
GPT2Decoder
XLNetDecoder
XLNetDecoderOutput
TransformerDecoder
TransformerDecoderOutput
Helper
TrainingHelper
EmbeddingHelper
GreedyEmbeddingHelper
SampleEmbeddingHelper
TopKSampleEmbeddingHelper
TopPSampleEmbeddingHelper
SoftmaxEmbeddingHelper
GumbelSoftmaxEmbeddingHelper
get_helper
Classifiers
BERTClassifier
RoBERTaClassifier
GPT2Classifier
UnidirectionalRNNClassifier
Conv1DClassifier
XLNetClassifier
Regressors
XLNetRegressor
EncoderDecoders
T5EncoderDecoder
Pre-trained
PretrainedMixin
PretrainedBERTMixin
PretrainedRoBERTaMixin
PretrainedGPT2Mixin
PretrainedXLNetMixin
PretrainedT5Mixin
Connectors
ConnectorBase
ConstantConnector
ForwardConnector
MLPTransformConnector
Networks
FeedForwardNetworkBase
FeedForwardNetwork
Conv1DNetwork
Loss Functions
MLE Loss
sequence_softmax_cross_entropy
sequence_sparse_softmax_cross_entropy
sequence_sigmoid_cross_entropy
binary_sigmoid_cross_entropy
binary_sigmoid_cross_entropy_with_clas
Policy Gradient Loss
pg_loss_with_logits
pg_loss_with_log_probs
Reward
discount_reward
Adversarial Loss
binary_adversarial_losses
Entropy
entropy_with_logits
sequence_entropy_with_logits
Loss Utilities
mask_and_reduce
reduce_batch_time
reduce_dimensions
Executor
Executor
Executor
Conditions
Event
Condition
epoch
iteration
validation
consecutive
once
time
Metrics
Metric
SimpleMetric
StreamingMetric
Accuracy
ConfusionMatrix
Precision
Recall
F1
PearsonR
RMSE
Average
AveragePerplexity
RunningAverage
LR
Actions
reset_params
scale_lr
early_stop
Evaluations
BLEU
sentence_bleu
corpus_bleu
sentence_bleu_moses
corpus_bleu_moses
corpus_bleu_transformer
bleu_transformer_tokenize
file_bleu
Accuracy
accuracy
binary_clas_accurac
Utilities
Frequent Use
AverageRecorder
compat_as_text
write_paired_text
IO
write_paired_text
maybe_create_dir
DType
get_numpy_dtype
maybe_hparams_to_dict
compat_as_text
Shape
mask_sequences
transpose_batch_time
flatten
pad_and_concat
Dictionary
dict_patch
dict_lookup
dict_fetch
dict_pop
flatten_dict
String
strip_token
strip_eos
strip_special_tokens
str_join
default_str
uniquify_str
Meta
check_or_get_class
get_class
check_or_get_instance
get_instance
check_or_get_instance_with_redundant_kwargs
get_instance_with_redundant_kwargs
get_function
call_function_with_redundant_kwargs
get_args
get_default_arg_values
get_instance_kwargs
Misc
ceildiv
map_structure
map_structure_zip
beam_search
flatten
pack_sequence_as
AverageRecorder
Texar
Docs
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Index
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Index
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A
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B
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C
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D
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E
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F
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G
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H
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I
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K
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L
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M
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X
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Z
_
_create_logging_fn() (texar.torch.run.Executor method)
_fire_event() (texar.torch.run.Executor method)
_init_from_checkpoint() (texar.torch.modules.PretrainedGPT2Mixin method)
(texar.torch.modules.PretrainedMixin method)
_test_loop() (texar.torch.run.Executor method)
_test_step() (texar.torch.run.Executor method)
_train_loop() (texar.torch.run.Executor method)
_train_step() (texar.torch.run.Executor method)
_transform_config() (texar.torch.modules.PretrainedMixin class method)
_validate_loop() (texar.torch.run.Executor method)
_validate_step() (texar.torch.run.Executor method)
_write_log() (texar.torch.run.Executor method)
A
Accuracy (class in texar.torch.run.metric)
accuracy() (in module texar.torch.evals)
add() (texar.torch.run.metric.Metric method)
(texar.torch.run.metric.SimpleMetric method)
(texar.torch.run.metric.StreamingMetric method)
(texar.torch.utils.AverageRecorder method)
add_example() (texar.torch.data.BatchingStrategy method)
add_hparam() (texar.torch.HParams method)
add_special_tokens() (texar.torch.data.TokenizerBase method)
add_tokens() (texar.torch.data.TokenizerBase method)
alignment_history (texar.torch.core.AttentionWrapperState property)
alignments (texar.torch.core.AttentionWrapperState property)
all_special_ids (texar.torch.data.TokenizerBase property)
all_special_tokens (texar.torch.data.TokenizerBase property)
append_layer() (texar.torch.modules.Conv1DNetwork method)
(texar.torch.modules.FeedForwardNetwork method)
(texar.torch.modules.FeedForwardNetworkBase method)
attention (texar.torch.core.AttentionWrapperState property)
attention_context (texar.torch.modules.AttentionRNNDecoderOutput property)
attention_scores (texar.torch.modules.AttentionRNNDecoderOutput property)
attention_state (texar.torch.core.AttentionWrapperState property)
AttentionRNNDecoder (class in texar.torch.modules)
AttentionRNNDecoderOutput (class in texar.torch.modules)
AttentionWrapper (class in texar.torch.core.cell_wrappers)
AttentionWrapperState (class in texar.torch.core)
Average (class in texar.torch.run.metric)
AveragePerplexity (class in texar.torch.run.metric)
AverageRecorder (class in texar.torch.utils)
avg() (texar.torch.utils.AverageRecorder method)
AvgReducePool1d (class in texar.torch.core)
B
BahdanauAttention (class in texar.torch.core)
BahdanauMonotonicAttention (class in texar.torch.core)
BasicRNNDecoder (class in texar.torch.modules)
BasicRNNDecoderOutput (class in texar.torch.modules)
Batch (class in texar.torch.data)
batch_size (texar.torch.data.DatasetBase property)
BatchingStrategy (class in texar.torch.data)
beam_search() (in module texar.torch.utils.beam_search)
BERTClassifier (class in texar.torch.modules)
BERTEncoder (class in texar.torch.modules)
BERTTokenizer (class in texar.torch.data)
better() (texar.torch.run.metric.Metric method)
BidirectionalRNNEncoder (class in texar.torch.modules)
binary_adversarial_losses() (in module texar.torch.losses)
binary_clas_accuracy() (in module texar.torch.evals)
binary_sigmoid_cross_entropy() (in module texar.torch.losses)
binary_sigmoid_cross_entropy_with_clas() (in module texar.torch.losses)
bleu_transformer_tokenize() (in module texar.torch.evals)
bos_token (texar.torch.data.Vocab property)
bos_token_id (texar.torch.data.Vocab property)
C
call_function_with_redundant_kwargs() (in module texar.torch.utils)
ceildiv() (in module texar.torch.utils)
cell (texar.torch.modules.RNNDecoderBase property)
(texar.torch.modules.UnidirectionalRNNEncoder property)
cell_bw (texar.torch.modules.BidirectionalRNNEncoder property)
cell_fw (texar.torch.modules.BidirectionalRNNEncoder property)
cell_output (texar.torch.modules.AttentionRNNDecoderOutput property)
(texar.torch.modules.BasicRNNDecoderOutput property)
cell_state (texar.torch.core.AttentionWrapperState property)
check_or_get_class() (in module texar.torch.utils)
check_or_get_instance() (in module texar.torch.utils)
check_or_get_instance_with_redundant_kwargs() (in module texar.torch.utils)
class_id (texar.torch.run.metric.ConfusionMatrix property)
clean_up_tokenization() (texar.torch.data.TokenizerBase static method)
collate() (texar.torch.data.DatasetBase method)
compat_as_text() (in module texar.torch.utils)
compute_attention() (in module texar.torch.core)
Condition (class in texar.torch.run.condition)
ConfusionMatrix (class in texar.torch.run.metric)
ConnectorBase (class in texar.torch.modules)
consecutive (class in texar.torch.run.condition)
ConstantConnector (class in texar.torch.modules)
Conv1DClassifier (class in texar.torch.modules)
Conv1DEncoder (class in texar.torch.modules)
Conv1DNetwork (class in texar.torch.modules)
corpus_bleu() (in module texar.torch.evals)
corpus_bleu_moses() (in module texar.torch.evals)
corpus_bleu_transformer() (in module texar.torch.evals)
count_file_lines() (in module texar.torch.data)
create_helper() (texar.torch.modules.DecoderBase method)
D
data_name (texar.torch.data.ScalarData property)
data_name() (texar.torch.data.MultiAlignedData method)
DataIterator (class in texar.torch.data)
dataset (texar.torch.data.DatasetBase property)
dataset_names (texar.torch.data.DataIterator property)
DatasetBase (class in texar.torch.data)
DataSource (class in texar.torch.data)
DecoderBase (class in texar.torch.modules)
default_hparams() (texar.torch.data.BERTTokenizer static method)
(texar.torch.data.DatasetBase static method)
(texar.torch.data.Embedding static method)
(texar.torch.data.GPT2Tokenizer static method)
(texar.torch.data.MonoTextData static method)
(texar.torch.data.MultiAlignedData static method)
(texar.torch.data.PairedTextData static method)
(texar.torch.data.RecordData static method)
(texar.torch.data.RoBERTaTokenizer static method)
(texar.torch.data.ScalarData static method)
(texar.torch.data.SentencePieceTokenizer static method)
(texar.torch.data.T5Tokenizer static method)
(texar.torch.data.XLNetTokenizer static method)
(texar.torch.ModuleBase static method)
(texar.torch.modules.AttentionRNNDecoder static method)
(texar.torch.modules.BasicRNNDecoder static method)
(texar.torch.modules.BERTClassifier static method)
(texar.torch.modules.BERTEncoder static method)
(texar.torch.modules.BidirectionalRNNEncoder static method)
(texar.torch.modules.ConnectorBase static method)
(texar.torch.modules.ConstantConnector static method)
(texar.torch.modules.Conv1DClassifier static method)
(texar.torch.modules.Conv1DEncoder static method)
(texar.torch.modules.Conv1DNetwork static method)
(texar.torch.modules.EmbedderBase static method)
(texar.torch.modules.EncoderBase static method)
(texar.torch.modules.FeedForwardNetwork static method)
(texar.torch.modules.FeedForwardNetworkBase static method)
(texar.torch.modules.ForwardConnector static method)
(texar.torch.modules.GPT2Classifier static method)
(texar.torch.modules.GPT2Decoder static method)
(texar.torch.modules.GPT2Encoder static method)
(texar.torch.modules.MLPTransformConnector static method)
(texar.torch.modules.MultiheadAttentionEncoder static method)
(texar.torch.modules.PositionEmbedder static method)
(texar.torch.modules.PretrainedMixin static method)
(texar.torch.modules.RNNDecoderBase static method)
(texar.torch.modules.RNNEncoderBase static method)
(texar.torch.modules.RoBERTaClassifier static method)
(texar.torch.modules.RoBERTaEncoder static method)
(texar.torch.modules.SinusoidsPositionEmbedder static method)
(texar.torch.modules.T5EncoderDecoder static method)
(texar.torch.modules.TransformerDecoder static method)
(texar.torch.modules.TransformerEncoder static method)
(texar.torch.modules.UnidirectionalRNNClassifier static method)
(texar.torch.modules.UnidirectionalRNNEncoder static method)
(texar.torch.modules.WordEmbedder static method)
(texar.torch.modules.XLNetClassifier static method)
(texar.torch.modules.XLNetDecoder static method)
(texar.torch.modules.XLNetEncoder static method)
(texar.torch.modules.XLNetRegressor static method)
default_optimization_hparams() (in module texar.torch.core)
default_regularizer_hparams() (in module texar.torch.core)
default_rnn_cell_hparams() (in module texar.torch.core)
default_str() (in module texar.torch.utils)
default_transformer_poswise_net_hparams() (in module texar.torch.modules)
dict_fetch() (in module texar.torch.utils)
dict_lookup() (in module texar.torch.utils)
dict_patch() (in module texar.torch.utils)
dict_pop() (in module texar.torch.utils)
dim (texar.torch.modules.PositionEmbedder property)
(texar.torch.modules.SinusoidsPositionEmbedder property)
(texar.torch.modules.WordEmbedder property)
discount_reward() (in module texar.torch.losses)
download_checkpoint() (texar.torch.modules.PretrainedMixin class method)
DropoutWrapper (class in texar.torch.core.cell_wrappers)
dynamic_decode() (texar.torch.modules.DecoderBase method)
E
early_stop (class in texar.torch.run.action)
embed_tokens() (texar.torch.modules.DecoderBase method)
(texar.torch.modules.XLNetDecoder method)
EmbedderBase (class in texar.torch.modules)
Embedding (class in texar.torch.data)
embedding (texar.torch.modules.PositionEmbedder property)
(texar.torch.modules.WordEmbedder property)
embedding_init_value (texar.torch.data.MonoTextData property)
embedding_init_value() (texar.torch.data.MultiAlignedData method)
(texar.torch.data.PairedTextData method)
EmbeddingHelper (class in texar.torch.modules)
encode_text() (texar.torch.data.BERTTokenizer method)
(texar.torch.data.GPT2Tokenizer method)
(texar.torch.data.RoBERTaTokenizer method)
(texar.torch.data.TokenizerBase method)
(texar.torch.data.XLNetTokenizer method)
encode_text_for_generation() (texar.torch.data.XLNetTokenizer method)
encoder (texar.torch.modules.Conv1DClassifier property)
EncoderBase (class in texar.torch.modules)
entropy_with_logits() (in module texar.torch.losses)
eos_token (texar.torch.data.Vocab property)
eos_token_id (texar.torch.data.Vocab property)
epoch (class in texar.torch.run.condition)
Event (class in texar.torch.run.condition)
Executor (class in texar.torch.run)
extra_repr() (texar.torch.modules.PositionEmbedder method)
(texar.torch.modules.SinusoidsPositionEmbedder method)
(texar.torch.modules.WordEmbedder method)
F
F1 (class in texar.torch.run.metric)
feature_names (texar.torch.data.RecordData property)
FeedForwardNetwork (class in texar.torch.modules)
FeedForwardNetworkBase (class in texar.torch.modules)
file_bleu() (in module texar.torch.evals)
FilterDataSource (class in texar.torch.data)
finalize() (texar.torch.modules.DecoderBase method)
(texar.torch.modules.TransformerDecoder method)
(texar.torch.run.metric.Metric method)
Flatten (class in texar.torch.core)
flatten() (in module texar.torch.utils)
(in module texar.torch.utils.nest)
flatten_dict() (in module texar.torch.utils)
forward() (texar.torch.core.AvgReducePool1d method)
(texar.torch.core.BahdanauAttention method)
(texar.torch.core.BahdanauMonotonicAttention method)
(texar.torch.core.cell_wrappers.AttentionWrapper method)
(texar.torch.core.cell_wrappers.DropoutWrapper method)
(texar.torch.core.cell_wrappers.HighwayWrapper method)
(texar.torch.core.cell_wrappers.LSTMCell method)
(texar.torch.core.cell_wrappers.MultiRNNCell method)
(texar.torch.core.cell_wrappers.ResidualWrapper method)
(texar.torch.core.cell_wrappers.RNNCellBase method)
(texar.torch.core.LuongAttention method)
(texar.torch.core.LuongMonotonicAttention method)
(texar.torch.core.MaxReducePool1d method)
(texar.torch.core.MergeLayer method)
(texar.torch.modules.AttentionRNNDecoder method)
(texar.torch.modules.BERTClassifier method)
(texar.torch.modules.BERTEncoder method)
(texar.torch.modules.BidirectionalRNNEncoder method)
(texar.torch.modules.ConstantConnector method)
(texar.torch.modules.Conv1DClassifier method)
(texar.torch.modules.Conv1DNetwork method)
(texar.torch.modules.FeedForwardNetwork method)
(texar.torch.modules.FeedForwardNetworkBase method)
(texar.torch.modules.ForwardConnector method)
(texar.torch.modules.GPT2Classifier method)
(texar.torch.modules.GPT2Decoder method)
(texar.torch.modules.GPT2Encoder method)
(texar.torch.modules.MLPTransformConnector method)
(texar.torch.modules.MultiheadAttentionEncoder method)
(texar.torch.modules.PositionEmbedder method)
(texar.torch.modules.RNNDecoderBase method)
(texar.torch.modules.RoBERTaClassifier method)
(texar.torch.modules.RoBERTaEncoder method)
(texar.torch.modules.SinusoidsPositionEmbedder method)
(texar.torch.modules.T5EncoderDecoder method)
(texar.torch.modules.TransformerDecoder method)
(texar.torch.modules.TransformerEncoder method)
(texar.torch.modules.UnidirectionalRNNClassifier method)
(texar.torch.modules.UnidirectionalRNNEncoder method)
(texar.torch.modules.WordEmbedder method)
(texar.torch.modules.XLNetClassifier method)
(texar.torch.modules.XLNetDecoder method)
(texar.torch.modules.XLNetEncoder method)
(texar.torch.modules.XLNetRegressor method)
ForwardConnector (class in texar.torch.modules)
G
get() (texar.torch.HParams method)
get_activation_fn() (in module texar.torch.core)
get_args() (in module texar.torch.utils)
get_class() (in module texar.torch.utils)
get_default_arg_values() (in module texar.torch.utils)
get_function() (in module texar.torch.utils)
get_grad_clip_fn() (in module texar.torch.core)
get_helper() (in module texar.torch.modules)
get_initializer() (in module texar.torch.core)
get_instance() (in module texar.torch.utils)
get_instance_kwargs() (in module texar.torch.utils)
get_instance_with_redundant_kwargs() (in module texar.torch.utils)
get_iterator() (texar.torch.data.DataIterator method)
get_layer() (in module texar.torch.core)
get_numpy_dtype() (in module texar.torch.utils)
get_optimizer() (in module texar.torch.core)
get_pooling_layer_hparams() (in module texar.torch.core)
get_regularizer() (in module texar.torch.core)
get_rnn_cell() (in module texar.torch.core)
get_scheduler() (in module texar.torch.core)
get_test_iterator() (texar.torch.data.TrainTestDataIterator method)
get_train_iterator() (texar.torch.data.TrainTestDataIterator method)
get_train_op() (in module texar.torch.core)
get_val_iterator() (texar.torch.data.TrainTestDataIterator method)
GPT2Classifier (class in texar.torch.modules)
GPT2Decoder (class in texar.torch.modules)
GPT2Encoder (class in texar.torch.modules)
GPT2Tokenizer (class in texar.torch.data)
GreedyEmbeddingHelper (class in texar.torch.modules)
GRUCell (class in texar.torch.core.cell_wrappers)
GumbelSoftmaxEmbeddingHelper (class in texar.torch.modules)
H
hardmax() (in module texar.torch.core)
has_layer() (texar.torch.modules.Conv1DClassifier method)
(texar.torch.modules.Conv1DNetwork method)
(texar.torch.modules.FeedForwardNetwork method)
(texar.torch.modules.FeedForwardNetworkBase method)
Helper (class in texar.torch.modules)
hidden_size (texar.torch.core.cell_wrappers.MultiRNNCell property)
(texar.torch.core.cell_wrappers.RNNCellBase property)
HighwayWrapper (class in texar.torch.core.cell_wrappers)
HParams (class in texar.torch)
hparams (texar.torch.data.DatasetBase property)
(texar.torch.ModuleBase property)
I
id_to_token_map_py (texar.torch.data.Vocab property)
Identity (class in texar.torch.core)
init_batch() (texar.torch.core.cell_wrappers.DropoutWrapper method)
(texar.torch.core.cell_wrappers.MultiRNNCell method)
(texar.torch.core.cell_wrappers.RNNCellBase method)
initialize() (texar.torch.modules.DecoderBase method)
(texar.torch.modules.Helper method)
(texar.torch.modules.TransformerDecoder method)
initialize_blocks() (texar.torch.modules.TransformerDecoder method)
(texar.torch.modules.TransformerEncoder method)
input_size (texar.torch.core.cell_wrappers.MultiRNNCell property)
(texar.torch.core.cell_wrappers.RNNCellBase property)
items() (texar.torch.HParams method)
iteration (class in texar.torch.run.condition)
IterDataSource (class in texar.torch.data)
K
keys() (texar.torch.HParams method)
L
label_name (texar.torch.run.metric.Metric property)
layer_by_name() (texar.torch.modules.Conv1DClassifier method)
(texar.torch.modules.Conv1DNetwork method)
(texar.torch.modules.FeedForwardNetwork method)
(texar.torch.modules.FeedForwardNetworkBase method)
layer_names (texar.torch.modules.Conv1DClassifier property)
(texar.torch.modules.Conv1DNetwork property)
(texar.torch.modules.FeedForwardNetwork property)
(texar.torch.modules.FeedForwardNetworkBase property)
layers (texar.torch.core.MergeLayer property)
(texar.torch.modules.Conv1DClassifier property)
(texar.torch.modules.Conv1DNetwork property)
(texar.torch.modules.FeedForwardNetwork property)
(texar.torch.modules.FeedForwardNetworkBase property)
layers_by_name (texar.torch.modules.Conv1DClassifier property)
(texar.torch.modules.Conv1DNetwork property)
(texar.torch.modules.FeedForwardNetwork property)
(texar.torch.modules.FeedForwardNetworkBase property)
length_name (texar.torch.data.MonoTextData property)
length_name() (texar.torch.data.MultiAlignedData method)
list_items() (texar.torch.data.MonoTextData method)
(texar.torch.data.MultiAlignedData method)
(texar.torch.data.PairedTextData method)
(texar.torch.data.RecordData method)
(texar.torch.data.ScalarData method)
load() (texar.torch.data.TokenizerBase class method)
(texar.torch.data.Vocab method)
(texar.torch.run.Executor method)
load_glove() (in module texar.torch.data)
load_pretrained_config() (texar.torch.modules.PretrainedMixin method)
load_word2vec() (in module texar.torch.data)
logits (texar.torch.modules.AttentionRNNDecoderOutput property)
(texar.torch.modules.BasicRNNDecoderOutput property)
(texar.torch.modules.TransformerDecoderOutput property)
(texar.torch.modules.XLNetDecoderOutput property)
LR (class in texar.torch.run.metric)
LSTMCell (class in texar.torch.core.cell_wrappers)
LuongAttention (class in texar.torch.core)
LuongMonotonicAttention (class in texar.torch.core)
M
make_vocab() (in module texar.torch.data)
map_id_to_text() (texar.torch.data.TokenizerBase method)
map_id_to_token() (texar.torch.data.TokenizerBase method)
map_ids_to_strs() (in module texar.torch.data)
map_ids_to_tokens_py() (texar.torch.data.Vocab method)
map_structure() (in module texar.torch.utils)
map_structure_zip() (in module texar.torch.utils)
map_text_to_id() (texar.torch.data.TokenizerBase method)
map_text_to_token() (texar.torch.data.TokenizerBase method)
map_token_to_id() (texar.torch.data.TokenizerBase method)
map_token_to_text() (texar.torch.data.BERTTokenizer method)
(texar.torch.data.GPT2Tokenizer method)
(texar.torch.data.SentencePieceTokenizer method)
(texar.torch.data.TokenizerBase method)
(texar.torch.data.XLNetTokenizer method)
map_tokens_to_ids_py() (texar.torch.data.Vocab method)
mask_and_reduce() (in module texar.torch.losses)
mask_sequences() (in module texar.torch.utils)
MaxReducePool1d (class in texar.torch.core)
maybe_create_dir() (in module texar.torch.utils)
maybe_download() (in module texar.torch.data)
maybe_hparams_to_dict() (in module texar.torch.utils)
MergeLayer (class in texar.torch.core)
Metric (class in texar.torch.run.metric)
metric_name (texar.torch.run.metric.Metric property)
MLPTransformConnector (class in texar.torch.modules)
ModuleBase (class in texar.torch)
MonoTextData (class in texar.torch.data)
monotonic_attention() (in module texar.torch.core)
MultiAlignedData (class in texar.torch.data)
MultiheadAttentionEncoder (class in texar.torch.modules)
MultiRNNCell (class in texar.torch.core.cell_wrappers)
N
name (texar.torch.data.DatasetBase property)
next_inputs() (texar.torch.modules.AttentionRNNDecoder method)
(texar.torch.modules.BasicRNNDecoder method)
(texar.torch.modules.DecoderBase method)
(texar.torch.modules.Helper method)
(texar.torch.modules.RNNDecoderBase method)
(texar.torch.modules.TransformerDecoder method)
(texar.torch.modules.XLNetDecoder method)
num_classes (texar.torch.modules.Conv1DClassifier property)
num_datasets (texar.torch.data.DataIterator property)
num_embeddings (texar.torch.modules.WordEmbedder property)
num_embeds (texar.torch.modules.EmbedderBase property)
num_epochs (texar.torch.data.DatasetBase property)
O
on() (texar.torch.run.Executor method)
on_event() (texar.torch.run.Executor method)
once (class in texar.torch.run.condition)
output_layer (texar.torch.modules.DecoderBase property)
(texar.torch.modules.RNNDecoderBase property)
(texar.torch.modules.UnidirectionalRNNEncoder property)
output_layer_bw (texar.torch.modules.BidirectionalRNNEncoder property)
output_layer_fw (texar.torch.modules.BidirectionalRNNEncoder property)
output_size (texar.torch.core.cell_wrappers.AttentionWrapper property)
(texar.torch.ModuleBase property)
(texar.torch.modules.BERTClassifier property)
(texar.torch.modules.BERTEncoder property)
(texar.torch.modules.BidirectionalRNNEncoder property)
(texar.torch.modules.ConnectorBase property)
(texar.torch.modules.Conv1DClassifier property)
(texar.torch.modules.GPT2Classifier property)
(texar.torch.modules.GPT2Encoder property)
(texar.torch.modules.MultiheadAttentionEncoder property)
(texar.torch.modules.PositionEmbedder property)
(texar.torch.modules.SinusoidsPositionEmbedder property)
(texar.torch.modules.T5EncoderDecoder property)
(texar.torch.modules.TransformerDecoder property)
(texar.torch.modules.TransformerEncoder property)
(texar.torch.modules.UnidirectionalRNNClassifier property)
(texar.torch.modules.UnidirectionalRNNEncoder property)
(texar.torch.modules.WordEmbedder property)
(texar.torch.modules.XLNetClassifier property)
(texar.torch.modules.XLNetEncoder property)
(texar.torch.modules.XLNetRegressor property)
P
pack_sequence_as() (in module texar.torch.utils.nest)
pad_and_concat() (in module texar.torch.utils)
pad_token (texar.torch.data.Vocab property)
pad_token_id (texar.torch.data.Vocab property)
PairedTextData (class in texar.torch.data)
param_groups() (texar.torch.modules.XLNetClassifier method)
(texar.torch.modules.XLNetEncoder method)
(texar.torch.modules.XLNetRegressor method)
PearsonR (class in texar.torch.run.metric)
pg_loss_with_log_probs() (in module texar.torch.losses)
pg_loss_with_logits() (in module texar.torch.losses)
PickleDataSource (class in texar.torch.data)
position_size (texar.torch.modules.PositionEmbedder property)
PositionEmbedder (class in texar.torch.modules)
Precision (class in texar.torch.run.metric)
pred_name (texar.torch.run.metric.Metric property)
PretrainedBERTMixin (class in texar.torch.modules)
PretrainedGPT2Mixin (class in texar.torch.modules)
PretrainedMixin (class in texar.torch.modules)
PretrainedRoBERTaMixin (class in texar.torch.modules)
PretrainedT5Mixin (class in texar.torch.modules)
PretrainedXLNetMixin (class in texar.torch.modules)
process() (texar.torch.data.DatasetBase method)
R
read_words() (in module texar.torch.data)
Recall (class in texar.torch.run.metric)
RecordData (class in texar.torch.data)
RecordDataSource (class in texar.torch.data)
reduce_batch_time() (in module texar.torch.losses)
reduce_dimensions() (in module texar.torch.losses)
remove_action() (texar.torch.run.Executor method)
reset() (texar.torch.run.metric.Metric method)
(texar.torch.run.metric.SimpleMetric method)
(texar.torch.run.metric.StreamingMetric method)
(texar.torch.utils.AverageRecorder method)
reset_batch() (texar.torch.data.BatchingStrategy method)
reset_parameters() (texar.torch.modules.BERTEncoder method)
(texar.torch.modules.PretrainedMixin method)
(texar.torch.modules.PretrainedXLNetMixin method)
(texar.torch.modules.T5EncoderDecoder method)
reset_params (class in texar.torch.run.action)
ResidualWrapper (class in texar.torch.core.cell_wrappers)
RMSE (class in texar.torch.run.metric)
RNNCell (class in texar.torch.core.cell_wrappers)
RNNCellBase (class in texar.torch.core.cell_wrappers)
RNNDecoderBase (class in texar.torch.modules)
RNNEncoderBase (class in texar.torch.modules)
RoBERTaClassifier (class in texar.torch.modules)
RoBERTaEncoder (class in texar.torch.modules)
RoBERTaTokenizer (class in texar.torch.data)
RunningAverage (class in texar.torch.run.metric)
S
sample() (texar.torch.modules.GumbelSoftmaxEmbeddingHelper method)
(texar.torch.modules.Helper method)
(texar.torch.modules.SoftmaxEmbeddingHelper method)
(texar.torch.modules.TopKSampleEmbeddingHelper method)
(texar.torch.modules.TopPSampleEmbeddingHelper method)
sample_id (texar.torch.modules.AttentionRNNDecoderOutput property)
(texar.torch.modules.BasicRNNDecoderOutput property)
(texar.torch.modules.TransformerDecoderOutput property)
(texar.torch.modules.XLNetDecoderOutput property)
SampleEmbeddingHelper (class in texar.torch.modules)
save() (texar.torch.data.TokenizerBase method)
(texar.torch.run.Executor method)
save_vocab() (texar.torch.data.BERTTokenizer method)
(texar.torch.data.GPT2Tokenizer method)
(texar.torch.data.SentencePieceTokenizer method)
(texar.torch.data.TokenizerBase method)
(texar.torch.data.XLNetTokenizer method)
ScalarData (class in texar.torch.data)
scale_lr (class in texar.torch.run.action)
sentence_bleu() (in module texar.torch.evals)
sentence_bleu_moses() (in module texar.torch.evals)
SentencePieceTokenizer (class in texar.torch.data)
sequence_entropy_with_logits() (in module texar.torch.losses)
sequence_sigmoid_cross_entropy() (in module texar.torch.losses)
sequence_softmax_cross_entropy() (in module texar.torch.losses)
sequence_sparse_softmax_cross_entropy() (in module texar.torch.losses)
SequenceDataSource (class in texar.torch.data)
set_default_infer_helper() (texar.torch.modules.DecoderBase method)
set_default_train_helper() (texar.torch.modules.DecoderBase method)
SimpleMetric (class in texar.torch.run.metric)
SinusoidsPositionEmbedder (class in texar.torch.modules)
size (texar.torch.data.Vocab property)
SoftmaxEmbeddingHelper (class in texar.torch.modules)
source_length_name (texar.torch.data.PairedTextData property)
source_text_id_name (texar.torch.data.PairedTextData property)
source_text_name (texar.torch.data.PairedTextData property)
source_vocab (texar.torch.data.PairedTextData property)
sparsemax() (in module texar.torch.core)
special_tokens (texar.torch.data.Vocab property)
special_tokens_map (texar.torch.data.TokenizerBase property)
SpecialTokens (class in texar.torch.data)
state_size (texar.torch.modules.RNNDecoderBase property)
(texar.torch.modules.UnidirectionalRNNEncoder property)
state_size_bw (texar.torch.modules.BidirectionalRNNEncoder property)
state_size_fw (texar.torch.modules.BidirectionalRNNEncoder property)
step() (texar.torch.modules.DecoderBase method)
(texar.torch.modules.TransformerDecoder method)
str_join() (in module texar.torch.utils)
StreamingMetric (class in texar.torch.run.metric)
strip_eos() (in module texar.torch.utils)
strip_special_tokens() (in module texar.torch.utils)
strip_token() (in module texar.torch.utils)
switch_to_dataset() (texar.torch.data.DataIterator method)
switch_to_test_data() (texar.torch.data.TrainTestDataIterator method)
switch_to_train_data() (texar.torch.data.TrainTestDataIterator method)
switch_to_val_data() (texar.torch.data.TrainTestDataIterator method)
T
T5EncoderDecoder (class in texar.torch.modules)
T5Tokenizer (class in texar.torch.data)
target_length_name (texar.torch.data.PairedTextData property)
target_text_id_name (texar.torch.data.PairedTextData property)
target_text_name (texar.torch.data.PairedTextData property)
target_vocab (texar.torch.data.PairedTextData property)
terminate() (texar.torch.run.Executor method)
test() (texar.torch.run.Executor method)
text_id_name (texar.torch.data.MonoTextData property)
text_id_name() (texar.torch.data.MultiAlignedData method)
text_name (texar.torch.data.MonoTextData property)
text_name() (texar.torch.data.MultiAlignedData method)
TextLineDataSource (class in texar.torch.data)
time (class in texar.torch.run.condition)
(texar.torch.core.AttentionWrapperState property)
to() (texar.torch.data.DatasetBase method)
to_str() (texar.torch.utils.AverageRecorder method)
todict() (texar.torch.HParams method)
token_to_id_map_py (texar.torch.data.Vocab property)
TokenCountBatchingStrategy (class in texar.torch.data)
TokenizerBase (class in texar.torch.data)
TopKSampleEmbeddingHelper (class in texar.torch.modules)
TopPSampleEmbeddingHelper (class in texar.torch.modules)
train() (texar.torch.data.SentencePieceTokenizer class method)
(texar.torch.run.Executor method)
trainable_variables (texar.torch.ModuleBase property)
TrainingHelper (class in texar.torch.modules)
TrainTestDataIterator (class in texar.torch.data)
TransformerDecoder (class in texar.torch.modules)
TransformerDecoderOutput (class in texar.torch.modules)
TransformerEncoder (class in texar.torch.modules)
transpose_batch_time() (in module texar.torch.utils)
U
UnidirectionalRNNClassifier (class in texar.torch.modules)
UnidirectionalRNNEncoder (class in texar.torch.modules)
uniquify_str() (in module texar.torch.utils)
unk_token (texar.torch.data.Vocab property)
unk_token_id (texar.torch.data.Vocab property)
V
validation (class in texar.torch.run.condition)
value() (texar.torch.run.metric.Metric method)
(texar.torch.run.metric.SimpleMetric method)
vector_size (texar.torch.data.Embedding property)
Vocab (class in texar.torch.data)
vocab (texar.torch.data.MonoTextData property)
(texar.torch.data.PairedTextData property)
vocab() (texar.torch.data.MultiAlignedData method)
vocab_size (texar.torch.modules.DecoderBase property)
(texar.torch.modules.WordEmbedder property)
W
word_vecs (texar.torch.data.Embedding property)
WordEmbedder (class in texar.torch.modules)
wrap_builtin_cell() (in module texar.torch.core)
write_log() (texar.torch.run.Executor method)
write_paired_text() (in module texar.torch.utils)
writer() (texar.torch.data.RecordData class method)
X
XLNetClassifier (class in texar.torch.modules)
XLNetDecoder (class in texar.torch.modules)
XLNetDecoderOutput (class in texar.torch.modules)
XLNetEncoder (class in texar.torch.modules)
XLNetRegressor (class in texar.torch.modules)
XLNetTokenizer (class in texar.torch.data)
Z
zero_state() (texar.torch.core.cell_wrappers.AttentionWrapper method)
(texar.torch.core.cell_wrappers.LSTMCell method)
(texar.torch.core.cell_wrappers.MultiRNNCell method)
(texar.torch.core.cell_wrappers.RNNCellBase method)
(texar.torch.modules.RNNDecoderBase method)
ZipDataSource (class in texar.torch.data)
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