latest
Overview
Key Features
Library API Example
Installation
Getting Started
Reference
License
Examples
Examples by Models/Algorithms
RNN / Seq2seq
Transformer (Self-attention)
Variational Autoencoder (VAE)
GANs / Discriminator-supervision
Reinforcement Learning
Memory Network
Classifier / Sequence Prediction
Reward Augmented Maximum Likelihood (RAML)
Examples by Tasks
Language Modeling
Machine Translation
Dialog
Text Summarization
Text Style Transfer
Classification
Sequence Tagging
Games
MISC
Distributed training
HParams
Data
Tokenizers
TokenizerBase
BERTTokenizer
XLNetTokenizer
Vocabulary
SpecialTokens
Vocab
Embedding
Embedding
load_word2vec
load_glove
Data
DataBase
MonoTextData
PairedTextData
ScalarData
TFRecordData
MultiAlignedData
TextDataBase
Data Iterators
DataIteratorBase
DataIterator
TrainTestDataIterator
FeedableDataIterator
TrainTestFeedableDataIterator
Data Utils
random_shard_dataset
maybe_tuple
make_partial
maybe_download
read_words
make_vocab
count_file_lines
make_chained_transformation
make_combined_transformation
Core
Cells
default_rnn_cell_hparams
get_rnn_cell
get_rnn_cell_trainable_variables
Layers
get_layer
MaxReducePooling1D
AverageReducePooling1D
get_pooling_layer_hparams
MergeLayer
SequentialLayer
default_regularizer_hparams
get_regularizer
get_initializer
get_activation_fn
get_constraint_fn
default_conv1d_kwargs
default_dense_kwargs
Optimization
default_optimization_hparams
get_train_op
get_optimizer_fn
get_optimizer
get_learning_rate_decay_fn
get_gradient_clip_fn
Exploration
EpsilonLinearDecayExploration
ExplorationBase
Replay Memories
DequeReplayMemory
ReplayMemoryBase
Modules
ModuleBase
Embedders
WordEmbedder
PositionEmbedder
SinusoidsPositionEmbedder
EmbedderBase
Encoders
UnidirectionalRNNEncoder
BidirectionalRNNEncoder
HierarchicalRNNEncoder
MultiheadAttentionEncoder
TransformerEncoder
BERTEncoder
Conv1DEncoder
EncoderBase
RNNEncoderBase
XLNetEncoder
default_transformer_poswise_net_hparams
Decoders
RNNDecoderBase
BasicRNNDecoder
BasicRNNDecoderOutput
AttentionRNNDecoder
AttentionRNNDecoderOutput
GPT2Decoder
beam_search_decode
TransformerDecoder
TransformerDecoderOutput
Helper
GreedyEmbeddingHelper
SampleEmbeddingHelper
TopKSampleEmbeddingHelper
SoftmaxEmbeddingHelper
GumbelSoftmaxEmbeddingHelper
TrainingHelper
ScheduledEmbeddingTrainingHelper
ScheduledOutputTrainingHelper
InferenceHelper
CustomHelper
get_helper
Classifiers
Conv1DClassifier
UnidirectionalRNNClassifier
BertClassifier
XLNetClassifier
Regressors
XLNetRegressor
Pre-trained
PretrainedMixin
PretrainedBERTMixin
PretrainedXLNetMixin
Connectors
ConnectorBase
ConstantConnector
ForwardConnector
MLPTransformConnector
ReparameterizedStochasticConnector
StochasticConnector
Networks
FeedForwardNetworkBase
FeedForwardNetwork
Conv1DNetwork
Memory
MemNetBase
MemNetRNNLike
default_memnet_embed_fn_hparams
Policy
PolicyNetBase
CategoricalPolicyNet
Q-Nets
QNetBase
CategoricalPolicyNet
Agents
Sequence Agents
SeqPGAgent
Episodic Agents
EpisodicAgentBase
PGAgent
DQNAgent
ActorCriticAgent
Agent Utils
Space
EnvConfig
convert_gym_space
get_gym_env_config
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 Utils
mask_and_reduce
reduce_batch_time
reduce_dimensions
Evaluations
BLEU
sentence_bleu
corpus_bleu
sentence_bleu_moses
corpus_bleu_moses
Accuracy
accuracy
binary_clas_accurac
Models
ModelBase
Seq2seqBase
BasicSeq2seq
Executor
Context
Global Mode
global_mode
global_mode_train
global_mode_eval
global_mode_predict
valid_modes
Utils
Frequent Use
AverageRecorder
collect_trainable_variables
compat_as_text
map_ids_to_strs
write_paired_text
straight_through
Variables
collect_trainable_variables
get_unique_named_variable_scope
add_variable
IO
write_paired_text
load_config
maybe_create_dir
get_files
DType
compat_as_text
get_tf_dtype
is_callable
is_str
is_placeholder
maybe_hparams_to_dict
Shape
mask_sequences
transpose_batch_time
get_batch_size
get_rank
shape_list
pad_and_concat
reduce_with_weights
flatten
varlength_concat
varlength_concat_py
varlength_roll
Dictionary
dict_patch
dict_lookup
dict_fetch
dict_pop
flatten_dict
String
map_ids_to_strs
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
Mode
switch_dropout
maybe_global_mode
is_train_mode
is_eval_mode
is_predict_mode
is_train_mode_py
is_eval_mode_py
is_predict_mode_py
Misc
ceildiv
straight_through
truncate_seq_pair
AverageRecorder
Texar
Docs
»
Index
Edit on GitHub
Index
_
|
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
K
|
L
|
M
|
N
|
O
|
P
|
Q
|
R
|
S
|
T
|
U
|
V
|
W
|
X
|
Z
_
_build() (texar.tf.models.BasicSeq2seq method)
(texar.tf.ModuleBase method)
(texar.tf.models.ModelBase method)
(texar.tf.models.Seq2seqBase method)
(texar.tf.modules.BERTClassifier method)
(texar.tf.modules.BERTEncoder method)
(texar.tf.modules.BidirectionalRNNEncoder method)
(texar.tf.modules.CategoricalPolicyNet method)
(texar.tf.modules.CategoricalQNet method)
(texar.tf.modules.ConstantConnector method)
(texar.tf.modules.Conv1DClassifier method)
(texar.tf.modules.Conv1DNetwork method)
(texar.tf.modules.ForwardConnector method)
(texar.tf.modules.GPT2Decoder method)
(texar.tf.modules.HierarchicalRNNEncoder method)
(texar.tf.modules.MLPTransformConnector method)
(texar.tf.modules.MultiheadAttentionEncoder method)
(texar.tf.modules.PositionEmbedder method)
(texar.tf.modules.RNNDecoderBase method)
(texar.tf.modules.ReparameterizedStochasticConnector method)
(texar.tf.modules.SinusoidsPositionEmbedder method)
(texar.tf.modules.StochasticConnector method)
(texar.tf.modules.TransformerDecoder method)
(texar.tf.modules.TransformerEncoder method)
(texar.tf.modules.UnidirectionalRNNClassifier method)
(texar.tf.modules.UnidirectionalRNNEncoder method)
(texar.tf.modules.WordEmbedder method)
(texar.tf.modules.XLNetClassifier method)
(texar.tf.modules.XLNetEncoder method)
(texar.tf.modules.XLNetRegressor method)
_init_from_checkpoint() (texar.tf.modules.PretrainedMixin method)
_transform_config() (texar.tf.modules.PretrainedMixin class method)
A
accuracy() (in module texar.tf.evals)
action_space (texar.tf.modules.CategoricalPolicyNet attribute)
(texar.tf.modules.CategoricalQNet attribute)
ActorCriticAgent (class in texar.tf.agents)
add() (texar.tf.core.DequeReplayMemory method)
(texar.tf.core.ReplayMemoryBase method)
(texar.tf.utils.AverageRecorder method)
add_hparam() (texar.tf.HParams method)
add_special_tokens() (texar.tf.data.TokenizerBase method)
add_tokens() (texar.tf.data.TokenizerBase method)
add_variable() (in module texar.tf.utils)
all_special_ids (texar.tf.data.TokenizerBase attribute)
all_special_tokens (texar.tf.data.TokenizerBase attribute)
append_layer() (texar.tf.modules.Conv1DNetwork method)
(texar.tf.modules.FeedForwardNetwork method)
(texar.tf.modules.FeedForwardNetworkBase method)
attention_context (texar.tf.modules.AttentionRNNDecoderOutput attribute)
attention_scores (texar.tf.modules.AttentionRNNDecoderOutput attribute)
AttentionRNNDecoder (class in texar.tf.modules)
AttentionRNNDecoderOutput (class in texar.tf.modules)
AverageRecorder (class in texar.tf.utils)
AverageReducePooling1D (class in texar.tf.core)
avg() (texar.tf.utils.AverageRecorder method)
B
BasicRNNDecoder (class in texar.tf.modules)
BasicRNNDecoderOutput (class in texar.tf.modules)
BasicSeq2seq (class in texar.tf.models)
batch_size (texar.tf.data.DataBase attribute)
(texar.tf.data.MonoTextData attribute)
(texar.tf.data.MultiAlignedData attribute)
(texar.tf.data.PairedTextData attribute)
(texar.tf.data.ScalarData attribute)
(texar.tf.data.TFRecordData attribute)
(texar.tf.modules.AttentionRNNDecoder attribute)
(texar.tf.modules.BasicRNNDecoder attribute)
(texar.tf.modules.CustomHelper attribute)
(texar.tf.modules.GreedyEmbeddingHelper attribute)
(texar.tf.modules.GumbelSoftmaxEmbeddingHelper attribute)
(texar.tf.modules.Helper attribute)
(texar.tf.modules.InferenceHelper attribute)
(texar.tf.modules.RNNDecoderBase attribute)
(texar.tf.modules.SampleEmbeddingHelper attribute)
(texar.tf.modules.ScheduledEmbeddingTrainingHelper attribute)
(texar.tf.modules.ScheduledOutputTrainingHelper attribute)
(texar.tf.modules.SoftmaxEmbeddingHelper attribute)
(texar.tf.modules.TopKSampleEmbeddingHelper attribute)
(texar.tf.modules.TrainingHelper attribute)
(texar.tf.modules.TransformerDecoder attribute)
beam_search_decode() (in module texar.tf.modules)
BERTClassifier (class in texar.tf.modules)
BERTEncoder (class in texar.tf.modules)
BERTTokenizer (class in texar.tf.data)
BidirectionalRNNEncoder (class in texar.tf.modules)
binary_adversarial_losses() (in module texar.tf.losses)
binary_clas_accuracy() (in module texar.tf.evals)
binary_sigmoid_cross_entropy() (in module texar.tf.losses)
binary_sigmoid_cross_entropy_with_clas() (in module texar.tf.losses)
bos_token (texar.tf.data.Vocab attribute)
bos_token_id (texar.tf.data.Vocab attribute)
C
call() (texar.tf.core.MergeLayer method)
(texar.tf.core.SequentialLayer method)
call_function_with_redundant_kwargs() (in module texar.tf.utils)
CategoricalPolicyNet (class in texar.tf.modules)
CategoricalQNet (class in texar.tf.modules)
ceildiv() (in module texar.tf.utils)
cell (texar.tf.modules.AttentionRNNDecoder attribute)
(texar.tf.modules.BasicRNNDecoder attribute)
(texar.tf.modules.RNNDecoderBase attribute)
(texar.tf.modules.UnidirectionalRNNEncoder attribute)
cell_bw (texar.tf.modules.BidirectionalRNNEncoder attribute)
cell_fw (texar.tf.modules.BidirectionalRNNEncoder attribute)
cell_output (texar.tf.modules.AttentionRNNDecoderOutput attribute)
(texar.tf.modules.BasicRNNDecoderOutput attribute)
check_or_get_class() (in module texar.tf.utils)
check_or_get_instance() (in module texar.tf.utils)
check_or_get_instance_with_redundant_kwargs() (in module texar.tf.utils)
clean_up_tokenization() (texar.tf.data.TokenizerBase static method)
collect_trainable_variables() (in module texar.tf.utils)
compat_as_text() (in module texar.tf.utils)
compute_output_shape() (texar.tf.core.MergeLayer method)
(texar.tf.core.SequentialLayer method)
ConnectorBase (class in texar.tf.modules)
ConstantConnector (class in texar.tf.modules)
contains() (texar.tf.agents.Space method)
Conv1DClassifier (class in texar.tf.modules)
Conv1DEncoder (class in texar.tf.modules)
Conv1DNetwork (class in texar.tf.modules)
convert_gym_space() (in module texar.tf.agents)
corpus_bleu() (in module texar.tf.evals)
corpus_bleu_moses() (in module texar.tf.evals)
count_file_lines() (in module texar.tf.data)
CustomHelper (class in texar.tf.modules)
D
data_name (texar.tf.data.MultiAlignedData attribute)
(texar.tf.data.ScalarData attribute)
DataBase (class in texar.tf.data)
DataIterator (class in texar.tf.data)
DataIteratorBase (class in texar.tf.data)
dataset (texar.tf.data.MonoTextData attribute)
(texar.tf.data.MultiAlignedData attribute)
(texar.tf.data.PairedTextData attribute)
(texar.tf.data.ScalarData attribute)
dataset_names (texar.tf.data.DataIteratorBase attribute)
dataset_size() (texar.tf.data.MonoTextData method)
(texar.tf.data.MultiAlignedData method)
(texar.tf.data.PairedTextData method)
(texar.tf.data.ScalarData method)
decode() (texar.tf.models.BasicSeq2seq method)
(texar.tf.models.Seq2seqBase method)
default_conv1d_kwargs() (in module texar.tf.core)
default_dense_kwargs() (in module texar.tf.core)
default_hparams() (texar.tf.agents.ActorCriticAgent static method)
(texar.tf.ModuleBase static method)
(texar.tf.agents.DQNAgent static method)
(texar.tf.agents.EpisodicAgentBase static method)
(texar.tf.agents.PGAgent static method)
(texar.tf.agents.SeqPGAgent static method)
(texar.tf.core.DequeReplayMemory static method)
(texar.tf.core.EpsilonLinearDecayExploration static method)
(texar.tf.core.ExplorationBase static method)
(texar.tf.core.ReplayMemoryBase static method)
(texar.tf.data.BERTTokenizer static method)
(texar.tf.data.DataBase static method)
(texar.tf.data.Embedding static method)
(texar.tf.data.MonoTextData static method)
(texar.tf.data.MultiAlignedData static method)
(texar.tf.data.PairedTextData static method)
(texar.tf.data.ScalarData static method)
(texar.tf.data.TFRecordData static method)
(texar.tf.data.TextDataBase static method)
(texar.tf.data.XLNetTokenizer static method)
(texar.tf.models.BasicSeq2seq static method)
(texar.tf.models.ModelBase static method)
(texar.tf.models.Seq2seqBase static method)
(texar.tf.modules.AttentionRNNDecoder static method)
(texar.tf.modules.BERTClassifier static method)
(texar.tf.modules.BERTEncoder static method)
(texar.tf.modules.BasicRNNDecoder static method)
(texar.tf.modules.BidirectionalRNNEncoder static method)
(texar.tf.modules.CategoricalPolicyNet static method)
(texar.tf.modules.CategoricalQNet static method)
(texar.tf.modules.ConnectorBase static method)
(texar.tf.modules.ConstantConnector static method)
(texar.tf.modules.Conv1DClassifier static method)
(texar.tf.modules.Conv1DEncoder static method)
(texar.tf.modules.Conv1DNetwork static method)
(texar.tf.modules.EmbedderBase static method)
(texar.tf.modules.EncoderBase static method)
(texar.tf.modules.FeedForwardNetwork static method)
(texar.tf.modules.FeedForwardNetworkBase static method)
(texar.tf.modules.ForwardConnector static method)
(texar.tf.modules.GPT2Decoder static method)
(texar.tf.modules.HierarchicalRNNEncoder static method)
(texar.tf.modules.MLPTransformConnector static method)
(texar.tf.modules.MemNetBase static method)
(texar.tf.modules.MemNetRNNLike static method)
(texar.tf.modules.MultiheadAttentionEncoder static method)
(texar.tf.modules.PolicyNetBase static method)
(texar.tf.modules.PositionEmbedder static method)
(texar.tf.modules.PretrainedMixin static method)
(texar.tf.modules.QNetBase static method)
(texar.tf.modules.RNNDecoderBase static method)
(texar.tf.modules.RNNEncoderBase static method)
(texar.tf.modules.ReparameterizedStochasticConnector static method)
(texar.tf.modules.SinusoidsPositionEmbedder static method)
(texar.tf.modules.StochasticConnector static method)
(texar.tf.modules.TransformerDecoder static method)
(texar.tf.modules.TransformerEncoder static method)
(texar.tf.modules.UnidirectionalRNNClassifier static method)
(texar.tf.modules.UnidirectionalRNNEncoder static method)
(texar.tf.modules.WordEmbedder static method)
(texar.tf.modules.XLNetClassifier static method)
(texar.tf.modules.XLNetEncoder static method)
(texar.tf.modules.XLNetRegressor static method)
default_memnet_embed_fn_hparams() (in module texar.tf.modules)
default_optimization_hparams() (in module texar.tf.core)
default_regularizer_hparams() (in module texar.tf.core)
default_rnn_cell_hparams() (in module texar.tf.core)
default_str() (in module texar.tf.utils)
default_transformer_poswise_net_hparams() (in module texar.tf.modules)
DequeReplayMemory (class in texar.tf.core)
dict_fetch() (in module texar.tf.utils)
dict_lookup() (in module texar.tf.utils)
dict_patch() (in module texar.tf.utils)
dict_pop() (in module texar.tf.utils)
dim (texar.tf.modules.PositionEmbedder attribute)
(texar.tf.modules.WordEmbedder attribute)
discount_reward() (in module texar.tf.losses)
download_checkpoint() (texar.tf.modules.BERTClassifier class method)
(texar.tf.modules.PretrainedMixin class method)
DQNAgent (class in texar.tf.agents)
dtype (texar.tf.agents.Space attribute)
E
embed_source() (texar.tf.models.BasicSeq2seq method)
(texar.tf.models.Seq2seqBase method)
embed_target() (texar.tf.models.BasicSeq2seq method)
(texar.tf.models.Seq2seqBase method)
EmbedderBase (class in texar.tf.modules)
Embedding (class in texar.tf.data)
embedding (texar.tf.modules.PositionEmbedder attribute)
(texar.tf.modules.WordEmbedder attribute)
embedding_init_value (texar.tf.data.MonoTextData attribute)
embedding_init_value() (texar.tf.data.MultiAlignedData method)
(texar.tf.data.PairedTextData method)
encode() (texar.tf.models.BasicSeq2seq method)
(texar.tf.models.Seq2seqBase method)
encode_text() (texar.tf.data.BERTTokenizer method)
(texar.tf.data.TokenizerBase method)
(texar.tf.data.XLNetTokenizer method)
encoder_major (texar.tf.modules.HierarchicalRNNEncoder attribute)
encoder_minor (texar.tf.modules.HierarchicalRNNEncoder attribute)
EncoderBase (class in texar.tf.modules)
entropy_with_logits() (in module texar.tf.losses)
env_config (texar.tf.agents.ActorCriticAgent attribute)
(texar.tf.agents.DQNAgent attribute)
(texar.tf.agents.EpisodicAgentBase attribute)
(texar.tf.agents.PGAgent attribute)
EnvConfig (class in texar.tf.agents)
eos_token (texar.tf.data.Vocab attribute)
eos_token_id (texar.tf.data.Vocab attribute)
EpisodicAgentBase (class in texar.tf.agents)
EpsilonLinearDecayExploration (class in texar.tf.core)
evaluate() (texar.tf.run.Executor method)
Executor (class in texar.tf.run)
ExplorationBase (class in texar.tf.core)
F
feature_names (texar.tf.data.TFRecordData attribute)
FeedableDataIterator (class in texar.tf.data)
FeedForwardNetwork (class in texar.tf.modules)
FeedForwardNetworkBase (class in texar.tf.modules)
flatten() (in module texar.tf.utils)
(texar.tf.modules.HierarchicalRNNEncoder static method)
flatten_dict() (in module texar.tf.utils)
ForwardConnector (class in texar.tf.modules)
G
get() (texar.tf.core.DequeReplayMemory method)
(texar.tf.HParams method)
(texar.tf.core.ReplayMemoryBase method)
get_action() (texar.tf.agents.ActorCriticAgent method)
(texar.tf.agents.DQNAgent method)
(texar.tf.agents.EpisodicAgentBase method)
(texar.tf.agents.PGAgent method)
get_activation_fn() (in module texar.tf.core)
get_args() (in module texar.tf.utils)
get_batch_size() (in module texar.tf.utils)
get_class() (in module texar.tf.utils)
get_constraint_fn() (in module texar.tf.core)
get_default_arg_values() (in module texar.tf.utils)
get_default_embed_fn() (texar.tf.modules.MemNetBase method)
get_epsilon() (texar.tf.core.EpsilonLinearDecayExploration method)
(texar.tf.core.ExplorationBase method)
get_files() (in module texar.tf.utils)
get_function() (in module texar.tf.utils)
get_gradient_clip_fn() (in module texar.tf.core)
get_gym_env_config() (in module texar.tf.agents)
get_handle() (texar.tf.data.FeedableDataIterator method)
get_helper() (in module texar.tf.modules)
get_initializer() (in module texar.tf.core)
get_input_fn() (texar.tf.models.BasicSeq2seq method)
(texar.tf.models.ModelBase method)
(texar.tf.models.Seq2seqBase method)
get_instance() (in module texar.tf.utils)
get_instance_kwargs() (in module texar.tf.utils)
get_instance_with_redundant_kwargs() (in module texar.tf.utils)
get_layer() (in module texar.tf.core)
get_learning_rate_decay_fn() (in module texar.tf.core)
get_loss() (texar.tf.models.BasicSeq2seq method)
(texar.tf.models.Seq2seqBase method)
get_next() (texar.tf.data.DataIterator method)
(texar.tf.data.FeedableDataIterator method)
get_optimizer() (in module texar.tf.core)
get_optimizer_fn() (in module texar.tf.core)
get_pooling_layer_hparams() (in module texar.tf.core)
get_rank() (in module texar.tf.utils)
get_regularizer() (in module texar.tf.core)
get_rnn_cell() (in module texar.tf.core)
get_rnn_cell_trainable_variables() (in module texar.tf.core)
get_samples() (texar.tf.agents.SeqPGAgent method)
get_test_handle() (texar.tf.data.TrainTestFeedableDataIterator method)
get_tf_dtype() (in module texar.tf.utils)
get_train_handle() (texar.tf.data.TrainTestFeedableDataIterator method)
get_train_op() (in module texar.tf.core)
get_unique_named_variable_scope() (in module texar.tf.utils)
get_val_handle() (texar.tf.data.TrainTestFeedableDataIterator method)
global_mode() (in module texar.tf)
global_mode_eval() (in module texar.tf)
global_mode_predict() (in module texar.tf)
global_mode_train() (in module texar.tf)
GPT2Decoder (class in texar.tf.modules)
GreedyEmbeddingHelper (class in texar.tf.modules)
GumbelSoftmaxEmbeddingHelper (class in texar.tf.modules)
H
handle (texar.tf.data.FeedableDataIterator attribute)
has_layer() (texar.tf.modules.Conv1DClassifier method)
(texar.tf.modules.Conv1DNetwork method)
(texar.tf.modules.FeedForwardNetwork method)
(texar.tf.modules.FeedForwardNetworkBase method)
Helper (class in texar.tf.modules)
HierarchicalRNNEncoder (class in texar.tf.modules)
high (texar.tf.agents.Space attribute)
HParams (class in texar.tf)
hparams (texar.tf.agents.ActorCriticAgent attribute)
(texar.tf.ModuleBase attribute)
(texar.tf.agents.DQNAgent attribute)
(texar.tf.agents.EpisodicAgentBase attribute)
(texar.tf.agents.PGAgent attribute)
(texar.tf.agents.SeqPGAgent attribute)
(texar.tf.core.ExplorationBase attribute)
(texar.tf.data.DataBase attribute)
(texar.tf.data.MonoTextData attribute)
(texar.tf.data.MultiAlignedData attribute)
(texar.tf.data.PairedTextData attribute)
(texar.tf.data.ScalarData attribute)
(texar.tf.data.TFRecordData attribute)
(texar.tf.models.BasicSeq2seq attribute)
(texar.tf.models.ModelBase attribute)
(texar.tf.models.Seq2seqBase attribute)
(texar.tf.modules.AttentionRNNDecoder attribute)
(texar.tf.modules.BERTClassifier attribute)
(texar.tf.modules.BasicRNNDecoder attribute)
(texar.tf.modules.CategoricalPolicyNet attribute)
(texar.tf.modules.CategoricalQNet attribute)
(texar.tf.modules.ConnectorBase attribute)
(texar.tf.modules.ConstantConnector attribute)
(texar.tf.modules.Conv1DClassifier attribute)
(texar.tf.modules.Conv1DNetwork attribute)
(texar.tf.modules.FeedForwardNetwork attribute)
(texar.tf.modules.FeedForwardNetworkBase attribute)
(texar.tf.modules.ForwardConnector attribute)
(texar.tf.modules.MLPTransformConnector attribute)
(texar.tf.modules.MemNetBase attribute)
(texar.tf.modules.MemNetRNNLike attribute)
(texar.tf.modules.PolicyNetBase attribute)
(texar.tf.modules.QNetBase attribute)
(texar.tf.modules.RNNDecoderBase attribute)
(texar.tf.modules.ReparameterizedStochasticConnector attribute)
(texar.tf.modules.StochasticConnector attribute)
(texar.tf.modules.UnidirectionalRNNClassifier attribute)
I
id_to_token_map (texar.tf.data.Vocab attribute)
id_to_token_map_py (texar.tf.data.Vocab attribute)
InferenceHelper (class in texar.tf.modules)
initialize() (texar.tf.modules.CustomHelper method)
(texar.tf.modules.GreedyEmbeddingHelper method)
(texar.tf.modules.GumbelSoftmaxEmbeddingHelper method)
(texar.tf.modules.Helper method)
(texar.tf.modules.InferenceHelper method)
(texar.tf.modules.SampleEmbeddingHelper method)
(texar.tf.modules.ScheduledEmbeddingTrainingHelper method)
(texar.tf.modules.ScheduledOutputTrainingHelper method)
(texar.tf.modules.SoftmaxEmbeddingHelper method)
(texar.tf.modules.TopKSampleEmbeddingHelper method)
(texar.tf.modules.TrainingHelper method)
(texar.tf.modules.TransformerDecoder method)
initialize_dataset() (texar.tf.data.FeedableDataIterator method)
is_callable() (in module texar.tf.utils)
is_eval_mode() (in module texar.tf.utils)
is_eval_mode_py() (in module texar.tf.utils)
is_placeholder() (in module texar.tf.utils)
is_predict_mode() (in module texar.tf.utils)
is_predict_mode_py() (in module texar.tf.utils)
is_str() (in module texar.tf.utils)
is_train_mode() (in module texar.tf.utils)
is_train_mode_py() (in module texar.tf.utils)
items() (texar.tf.HParams method)
K
keys() (texar.tf.HParams method)
L
last() (texar.tf.core.DequeReplayMemory method)
(texar.tf.core.ReplayMemoryBase method)
layer_by_name() (texar.tf.modules.Conv1DClassifier method)
(texar.tf.modules.Conv1DNetwork method)
(texar.tf.modules.FeedForwardNetwork method)
(texar.tf.modules.FeedForwardNetworkBase method)
layer_names (texar.tf.modules.Conv1DClassifier attribute)
(texar.tf.modules.Conv1DNetwork attribute)
(texar.tf.modules.FeedForwardNetwork attribute)
(texar.tf.modules.FeedForwardNetworkBase attribute)
layer_outputs (texar.tf.modules.Conv1DClassifier attribute)
(texar.tf.modules.Conv1DNetwork attribute)
(texar.tf.modules.FeedForwardNetwork attribute)
(texar.tf.modules.FeedForwardNetworkBase attribute)
layer_outputs_by_name() (texar.tf.modules.Conv1DClassifier method)
(texar.tf.modules.Conv1DNetwork method)
(texar.tf.modules.FeedForwardNetwork method)
(texar.tf.modules.FeedForwardNetworkBase method)
layers (texar.tf.core.MergeLayer attribute)
(texar.tf.core.SequentialLayer attribute)
(texar.tf.modules.Conv1DClassifier attribute)
(texar.tf.modules.Conv1DNetwork attribute)
(texar.tf.modules.FeedForwardNetwork attribute)
(texar.tf.modules.FeedForwardNetworkBase attribute)
layers_by_name (texar.tf.modules.Conv1DClassifier attribute)
(texar.tf.modules.Conv1DNetwork attribute)
(texar.tf.modules.FeedForwardNetwork attribute)
(texar.tf.modules.FeedForwardNetworkBase attribute)
length_name (texar.tf.data.MonoTextData attribute)
(texar.tf.data.PairedTextData attribute)
length_name() (texar.tf.data.MultiAlignedData method)
list_items() (texar.tf.data.MonoTextData method)
(texar.tf.data.MultiAlignedData method)
(texar.tf.data.PairedTextData method)
(texar.tf.data.ScalarData method)
(texar.tf.data.TFRecordData method)
load() (texar.tf.data.TokenizerBase class method)
(texar.tf.data.Vocab method)
load_config() (in module texar.tf.utils)
load_glove() (in module texar.tf.data)
load_pretrained_config() (texar.tf.modules.BERTClassifier method)
(texar.tf.modules.PretrainedMixin method)
load_word2vec() (in module texar.tf.data)
logits (texar.tf.agents.SeqPGAgent attribute)
(texar.tf.modules.AttentionRNNDecoderOutput attribute)
(texar.tf.modules.BasicRNNDecoderOutput attribute)
(texar.tf.modules.TransformerDecoderOutput attribute)
low (texar.tf.agents.Space attribute)
M
make_chained_transformation() (in module texar.tf.data)
make_combined_transformation() (in module texar.tf.data)
make_partial() (in module texar.tf.data)
make_vocab() (in module texar.tf.data)
map_id_to_text() (texar.tf.data.TokenizerBase method)
map_id_to_token() (texar.tf.data.TokenizerBase method)
map_ids_to_strs() (in module texar.tf.utils)
map_ids_to_tokens() (texar.tf.data.Vocab method)
map_ids_to_tokens_py() (texar.tf.data.Vocab method)
map_text_to_id() (texar.tf.data.TokenizerBase method)
map_text_to_token() (texar.tf.data.TokenizerBase method)
map_token_to_id() (texar.tf.data.TokenizerBase method)
map_token_to_text() (texar.tf.data.BERTTokenizer method)
(texar.tf.data.TokenizerBase method)
(texar.tf.data.XLNetTokenizer method)
map_tokens_to_ids() (texar.tf.data.Vocab method)
map_tokens_to_ids_py() (texar.tf.data.Vocab method)
mask_and_reduce() (in module texar.tf.losses)
mask_sequences() (in module texar.tf.utils)
MaxReducePooling1D (class in texar.tf.core)
maybe_create_dir() (in module texar.tf.utils)
maybe_download() (in module texar.tf.data)
maybe_global_mode() (in module texar.tf.utils)
maybe_hparams_to_dict() (in module texar.tf.utils)
maybe_tuple() (in module texar.tf.data)
MemNetBase (class in texar.tf.modules)
MemNetRNNLike (class in texar.tf.modules)
memory_dim (texar.tf.modules.MemNetBase attribute)
(texar.tf.modules.MemNetRNNLike attribute)
memory_size (texar.tf.modules.MemNetBase attribute)
(texar.tf.modules.MemNetRNNLike attribute)
MergeLayer (class in texar.tf.core)
MLPTransformConnector (class in texar.tf.modules)
ModelBase (class in texar.tf.models)
ModuleBase (class in texar.tf)
MonoTextData (class in texar.tf.data)
MultiAlignedData (class in texar.tf.data)
MultiheadAttentionEncoder (class in texar.tf.modules)
N
name (texar.tf.agents.ActorCriticAgent attribute)
(texar.tf.ModuleBase attribute)
(texar.tf.agents.DQNAgent attribute)
(texar.tf.agents.EpisodicAgentBase attribute)
(texar.tf.agents.PGAgent attribute)
(texar.tf.agents.SeqPGAgent attribute)
(texar.tf.data.DataBase attribute)
(texar.tf.data.MonoTextData attribute)
(texar.tf.data.MultiAlignedData attribute)
(texar.tf.data.PairedTextData attribute)
(texar.tf.data.ScalarData attribute)
(texar.tf.data.TFRecordData attribute)
(texar.tf.modules.AttentionRNNDecoder attribute)
(texar.tf.modules.BERTClassifier attribute)
(texar.tf.modules.BasicRNNDecoder attribute)
(texar.tf.modules.CategoricalPolicyNet attribute)
(texar.tf.modules.CategoricalQNet attribute)
(texar.tf.modules.ConnectorBase attribute)
(texar.tf.modules.ConstantConnector attribute)
(texar.tf.modules.Conv1DClassifier attribute)
(texar.tf.modules.Conv1DNetwork attribute)
(texar.tf.modules.FeedForwardNetwork attribute)
(texar.tf.modules.FeedForwardNetworkBase attribute)
(texar.tf.modules.ForwardConnector attribute)
(texar.tf.modules.MLPTransformConnector attribute)
(texar.tf.modules.MemNetBase attribute)
(texar.tf.modules.MemNetRNNLike attribute)
(texar.tf.modules.PolicyNetBase attribute)
(texar.tf.modules.QNetBase attribute)
(texar.tf.modules.RNNDecoderBase attribute)
(texar.tf.modules.ReparameterizedStochasticConnector attribute)
(texar.tf.modules.StochasticConnector attribute)
(texar.tf.modules.UnidirectionalRNNClassifier attribute)
network (texar.tf.modules.CategoricalPolicyNet attribute)
(texar.tf.modules.CategoricalQNet attribute)
(texar.tf.modules.PolicyNetBase attribute)
(texar.tf.modules.QNetBase attribute)
next_inputs() (texar.tf.modules.CustomHelper method)
(texar.tf.modules.GreedyEmbeddingHelper method)
(texar.tf.modules.GumbelSoftmaxEmbeddingHelper method)
(texar.tf.modules.Helper method)
(texar.tf.modules.InferenceHelper method)
(texar.tf.modules.SampleEmbeddingHelper method)
(texar.tf.modules.ScheduledEmbeddingTrainingHelper method)
(texar.tf.modules.ScheduledOutputTrainingHelper method)
(texar.tf.modules.SoftmaxEmbeddingHelper method)
(texar.tf.modules.TopKSampleEmbeddingHelper method)
(texar.tf.modules.TrainingHelper method)
nn (texar.tf.modules.Conv1DClassifier attribute)
num_classes (texar.tf.modules.Conv1DClassifier attribute)
(texar.tf.modules.UnidirectionalRNNClassifier attribute)
num_datasets (texar.tf.data.DataIteratorBase attribute)
num_embeds (texar.tf.modules.EmbedderBase attribute)
num_epochs (texar.tf.data.DataBase attribute)
(texar.tf.data.MonoTextData attribute)
(texar.tf.data.MultiAlignedData attribute)
(texar.tf.data.PairedTextData attribute)
(texar.tf.data.ScalarData attribute)
(texar.tf.data.TFRecordData attribute)
O
observe() (texar.tf.agents.ActorCriticAgent method)
(texar.tf.agents.DQNAgent method)
(texar.tf.agents.EpisodicAgentBase method)
(texar.tf.agents.PGAgent method)
(texar.tf.agents.SeqPGAgent method)
output_dtype (texar.tf.modules.TransformerDecoder attribute)
output_layer (texar.tf.modules.AttentionRNNDecoder attribute)
(texar.tf.modules.BasicRNNDecoder attribute)
(texar.tf.modules.RNNDecoderBase attribute)
(texar.tf.modules.UnidirectionalRNNEncoder attribute)
output_layer_bw (texar.tf.modules.BidirectionalRNNEncoder attribute)
output_layer_fw (texar.tf.modules.BidirectionalRNNEncoder attribute)
output_size (texar.tf.modules.ConnectorBase attribute)
(texar.tf.modules.ConstantConnector attribute)
(texar.tf.modules.ForwardConnector attribute)
(texar.tf.modules.MLPTransformConnector attribute)
(texar.tf.modules.ReparameterizedStochasticConnector attribute)
(texar.tf.modules.StochasticConnector attribute)
(texar.tf.modules.TransformerDecoder attribute)
(texar.tf.modules.XLNetEncoder attribute)
P
pad_and_concat() (in module texar.tf.utils)
pad_token (texar.tf.data.Vocab attribute)
pad_token_id (texar.tf.data.Vocab attribute)
PairedTextData (class in texar.tf.data)
param_groups() (texar.tf.modules.XLNetClassifier method)
(texar.tf.modules.XLNetEncoder method)
(texar.tf.modules.XLNetRegressor method)
pg_loss (texar.tf.agents.SeqPGAgent attribute)
pg_loss_with_log_probs() (in module texar.tf.losses)
pg_loss_with_logits() (in module texar.tf.losses)
PGAgent (class in texar.tf.agents)
policy (texar.tf.agents.PGAgent attribute)
PolicyNetBase (class in texar.tf.modules)
position_size (texar.tf.modules.PositionEmbedder attribute)
PositionEmbedder (class in texar.tf.modules)
PretrainedBERTMixin (class in texar.tf.modules)
PretrainedMixin (class in texar.tf.modules)
PretrainedXLNetMixin (class in texar.tf.modules)
Q
QNetBase (class in texar.tf.modules)
R
random_shard_dataset() (in module texar.tf.data)
raw_memory_dim (texar.tf.modules.MemNetBase attribute)
(texar.tf.modules.MemNetRNNLike attribute)
read_words() (in module texar.tf.data)
reduce_batch_time() (in module texar.tf.losses)
reduce_dimensions() (in module texar.tf.losses)
reduce_with_weights() (in module texar.tf.utils)
ReparameterizedStochasticConnector (class in texar.tf.modules)
ReplayMemoryBase (class in texar.tf.core)
reset() (texar.tf.agents.ActorCriticAgent method)
(texar.tf.agents.DQNAgent method)
(texar.tf.agents.EpisodicAgentBase method)
(texar.tf.agents.PGAgent method)
(texar.tf.utils.AverageRecorder method)
reset_parameters() (texar.tf.modules.BERTClassifier method)
(texar.tf.modules.BERTEncoder method)
(texar.tf.modules.PretrainedMixin method)
(texar.tf.modules.XLNetEncoder method)
restart_dataset() (texar.tf.data.FeedableDataIterator method)
restart_test_dataset() (texar.tf.data.TrainTestFeedableDataIterator method)
restart_train_dataset() (texar.tf.data.TrainTestFeedableDataIterator method)
restart_val_dataset() (texar.tf.data.TrainTestFeedableDataIterator method)
RNNDecoderBase (class in texar.tf.modules)
RNNEncoderBase (class in texar.tf.modules)
S
sample() (texar.tf.modules.CustomHelper method)
(texar.tf.modules.GreedyEmbeddingHelper method)
(texar.tf.modules.GumbelSoftmaxEmbeddingHelper method)
(texar.tf.modules.Helper method)
(texar.tf.modules.InferenceHelper method)
(texar.tf.modules.SampleEmbeddingHelper method)
(texar.tf.modules.ScheduledEmbeddingTrainingHelper method)
(texar.tf.modules.ScheduledOutputTrainingHelper method)
(texar.tf.modules.SoftmaxEmbeddingHelper method)
(texar.tf.modules.TopKSampleEmbeddingHelper method)
(texar.tf.modules.TrainingHelper method)
sample_id (texar.tf.modules.AttentionRNNDecoderOutput attribute)
(texar.tf.modules.BasicRNNDecoderOutput attribute)
(texar.tf.modules.TransformerDecoderOutput attribute)
sample_ids_dtype (texar.tf.modules.CustomHelper attribute)
(texar.tf.modules.GreedyEmbeddingHelper attribute)
(texar.tf.modules.GumbelSoftmaxEmbeddingHelper attribute)
(texar.tf.modules.Helper attribute)
(texar.tf.modules.InferenceHelper attribute)
(texar.tf.modules.SampleEmbeddingHelper attribute)
(texar.tf.modules.ScheduledEmbeddingTrainingHelper attribute)
(texar.tf.modules.ScheduledOutputTrainingHelper attribute)
(texar.tf.modules.SoftmaxEmbeddingHelper attribute)
(texar.tf.modules.TopKSampleEmbeddingHelper attribute)
(texar.tf.modules.TrainingHelper attribute)
sample_ids_shape (texar.tf.modules.CustomHelper attribute)
(texar.tf.modules.GreedyEmbeddingHelper attribute)
(texar.tf.modules.GumbelSoftmaxEmbeddingHelper attribute)
(texar.tf.modules.Helper attribute)
(texar.tf.modules.InferenceHelper attribute)
(texar.tf.modules.SampleEmbeddingHelper attribute)
(texar.tf.modules.ScheduledEmbeddingTrainingHelper attribute)
(texar.tf.modules.ScheduledOutputTrainingHelper attribute)
(texar.tf.modules.SoftmaxEmbeddingHelper attribute)
(texar.tf.modules.TopKSampleEmbeddingHelper attribute)
(texar.tf.modules.TrainingHelper attribute)
SampleEmbeddingHelper (class in texar.tf.modules)
samples (texar.tf.agents.SeqPGAgent attribute)
save() (texar.tf.data.TokenizerBase method)
save_vocab() (texar.tf.data.BERTTokenizer method)
(texar.tf.data.TokenizerBase method)
(texar.tf.data.XLNetTokenizer method)
ScalarData (class in texar.tf.data)
ScheduledEmbeddingTrainingHelper (class in texar.tf.modules)
ScheduledOutputTrainingHelper (class in texar.tf.modules)
sentence_bleu() (in module texar.tf.evals)
sentence_bleu_moses() (in module texar.tf.evals)
Seq2seqBase (class in texar.tf.models)
SeqPGAgent (class in texar.tf.agents)
sequence_entropy_with_logits() (in module texar.tf.losses)
sequence_length (texar.tf.agents.SeqPGAgent attribute)
sequence_sigmoid_cross_entropy() (in module texar.tf.losses)
sequence_softmax_cross_entropy() (in module texar.tf.losses)
sequence_sparse_softmax_cross_entropy() (in module texar.tf.losses)
SequentialLayer (class in texar.tf.core)
sess (texar.tf.agents.ActorCriticAgent attribute)
(texar.tf.agents.DQNAgent attribute)
(texar.tf.agents.PGAgent attribute)
(texar.tf.agents.SeqPGAgent attribute)
shape (texar.tf.agents.Space attribute)
shape_list() (in module texar.tf.utils)
SinusoidsPositionEmbedder (class in texar.tf.modules)
size (texar.tf.data.Vocab attribute)
size() (texar.tf.core.DequeReplayMemory method)
(texar.tf.core.ReplayMemoryBase method)
SoftmaxEmbeddingHelper (class in texar.tf.modules)
source_embedding_init_value (texar.tf.data.PairedTextData attribute)
source_length_name (texar.tf.data.PairedTextData attribute)
source_text_id_name (texar.tf.data.PairedTextData attribute)
source_text_name (texar.tf.data.PairedTextData attribute)
source_utterance_cnt_name (texar.tf.data.PairedTextData attribute)
source_vocab (texar.tf.data.PairedTextData attribute)
Space (class in texar.tf.agents)
special_tokens (texar.tf.data.Vocab attribute)
special_tokens_map (texar.tf.data.TokenizerBase attribute)
SpecialTokens (class in texar.tf.data)
state_size (texar.tf.modules.AttentionRNNDecoder attribute)
(texar.tf.modules.BasicRNNDecoder attribute)
(texar.tf.modules.RNNDecoderBase attribute)
(texar.tf.modules.UnidirectionalRNNEncoder attribute)
state_size_bw (texar.tf.modules.BidirectionalRNNEncoder attribute)
state_size_fw (texar.tf.modules.BidirectionalRNNEncoder attribute)
step() (texar.tf.modules.TransformerDecoder method)
StochasticConnector (class in texar.tf.modules)
str_join() (in module texar.tf.utils)
straight_through() (in module texar.tf.utils)
strip_eos() (in module texar.tf.utils)
strip_special_tokens() (in module texar.tf.utils)
strip_token() (in module texar.tf.utils)
switch_dropout() (in module texar.tf.utils)
switch_to_dataset() (texar.tf.data.DataIterator method)
switch_to_test_data() (texar.tf.data.TrainTestDataIterator method)
switch_to_train_data() (texar.tf.data.TrainTestDataIterator method)
switch_to_val_data() (texar.tf.data.TrainTestDataIterator method)
T
target_embedding_init_value (texar.tf.data.PairedTextData attribute)
target_length_name (texar.tf.data.PairedTextData attribute)
target_text_id_name (texar.tf.data.PairedTextData attribute)
target_text_name (texar.tf.data.PairedTextData attribute)
target_utterance_cnt_name (texar.tf.data.PairedTextData attribute)
target_vocab (texar.tf.data.PairedTextData attribute)
text_id_name (texar.tf.data.MonoTextData attribute)
(texar.tf.data.PairedTextData attribute)
text_id_name() (texar.tf.data.MultiAlignedData method)
text_name (texar.tf.data.MonoTextData attribute)
(texar.tf.data.PairedTextData attribute)
text_name() (texar.tf.data.MultiAlignedData method)
TextDataBase (class in texar.tf.data)
TFRecordData (class in texar.tf.data)
tile_initial_state_minor() (texar.tf.modules.HierarchicalRNNEncoder static method)
to_str() (texar.tf.utils.AverageRecorder method)
todict() (texar.tf.HParams method)
token_to_id_map (texar.tf.data.Vocab attribute)
token_to_id_map_py (texar.tf.data.Vocab attribute)
TokenizerBase (class in texar.tf.data)
TopKSampleEmbeddingHelper (class in texar.tf.modules)
train() (texar.tf.run.Executor method)
train_and_evaluate() (texar.tf.run.Executor method)
trainable_variables (texar.tf.ModuleBase attribute)
(texar.tf.modules.AttentionRNNDecoder attribute)
(texar.tf.modules.BERTClassifier attribute)
(texar.tf.modules.BasicRNNDecoder attribute)
(texar.tf.modules.CategoricalPolicyNet attribute)
(texar.tf.modules.CategoricalQNet attribute)
(texar.tf.modules.ConnectorBase attribute)
(texar.tf.modules.ConstantConnector attribute)
(texar.tf.modules.Conv1DClassifier attribute)
(texar.tf.modules.Conv1DNetwork attribute)
(texar.tf.modules.FeedForwardNetwork attribute)
(texar.tf.modules.FeedForwardNetworkBase attribute)
(texar.tf.modules.ForwardConnector attribute)
(texar.tf.modules.MLPTransformConnector attribute)
(texar.tf.modules.MemNetBase attribute)
(texar.tf.modules.MemNetRNNLike attribute)
(texar.tf.modules.PolicyNetBase attribute)
(texar.tf.modules.QNetBase attribute)
(texar.tf.modules.RNNDecoderBase attribute)
(texar.tf.modules.ReparameterizedStochasticConnector attribute)
(texar.tf.modules.StochasticConnector attribute)
(texar.tf.modules.UnidirectionalRNNClassifier attribute)
TrainingHelper (class in texar.tf.modules)
TrainTestDataIterator (class in texar.tf.data)
TrainTestFeedableDataIterator (class in texar.tf.data)
TransformerDecoder (class in texar.tf.modules)
TransformerDecoderOutput (class in texar.tf.modules)
TransformerEncoder (class in texar.tf.modules)
transpose_batch_time() (in module texar.tf.utils)
truncate_seq_pair() (in module texar.tf.utils)
U
UnidirectionalRNNClassifier (class in texar.tf.modules)
UnidirectionalRNNEncoder (class in texar.tf.modules)
uniquify_str() (in module texar.tf.utils)
unk_token (texar.tf.data.Vocab attribute)
unk_token_id (texar.tf.data.Vocab attribute)
utterance_cnt_name (texar.tf.data.MonoTextData attribute)
(texar.tf.data.PairedTextData attribute)
utterance_cnt_name() (texar.tf.data.MultiAlignedData method)
V
valid_modes() (in module texar.tf)
variable_scope (texar.tf.agents.ActorCriticAgent attribute)
(texar.tf.ModuleBase attribute)
(texar.tf.agents.DQNAgent attribute)
(texar.tf.agents.EpisodicAgentBase attribute)
(texar.tf.agents.PGAgent attribute)
(texar.tf.agents.SeqPGAgent attribute)
(texar.tf.modules.AttentionRNNDecoder attribute)
(texar.tf.modules.BERTClassifier attribute)
(texar.tf.modules.BasicRNNDecoder attribute)
(texar.tf.modules.CategoricalPolicyNet attribute)
(texar.tf.modules.CategoricalQNet attribute)
(texar.tf.modules.ConnectorBase attribute)
(texar.tf.modules.ConstantConnector attribute)
(texar.tf.modules.Conv1DClassifier attribute)
(texar.tf.modules.Conv1DNetwork attribute)
(texar.tf.modules.FeedForwardNetwork attribute)
(texar.tf.modules.FeedForwardNetworkBase attribute)
(texar.tf.modules.ForwardConnector attribute)
(texar.tf.modules.MLPTransformConnector attribute)
(texar.tf.modules.MemNetBase attribute)
(texar.tf.modules.MemNetRNNLike attribute)
(texar.tf.modules.PolicyNetBase attribute)
(texar.tf.modules.QNetBase attribute)
(texar.tf.modules.RNNDecoderBase attribute)
(texar.tf.modules.ReparameterizedStochasticConnector attribute)
(texar.tf.modules.StochasticConnector attribute)
(texar.tf.modules.UnidirectionalRNNClassifier attribute)
varlength_concat() (in module texar.tf.utils)
varlength_concat_py() (in module texar.tf.utils)
varlength_roll() (in module texar.tf.utils)
vector_size (texar.tf.data.Embedding attribute)
Vocab (class in texar.tf.data)
vocab (texar.tf.data.MonoTextData attribute)
(texar.tf.data.PairedTextData attribute)
vocab() (texar.tf.data.MultiAlignedData method)
vocab_size (texar.tf.modules.AttentionRNNDecoder attribute)
(texar.tf.modules.BasicRNNDecoder attribute)
(texar.tf.modules.RNNDecoderBase attribute)
(texar.tf.modules.TransformerDecoder attribute)
(texar.tf.modules.WordEmbedder attribute)
W
word_vecs (texar.tf.data.Embedding attribute)
WordEmbedder (class in texar.tf.modules)
wrapper_state_size (texar.tf.modules.AttentionRNNDecoder attribute)
wrapper_zero_state() (texar.tf.modules.AttentionRNNDecoder method)
write_paired_text() (in module texar.tf.utils)
X
XLNetClassifier (class in texar.tf.modules)
XLNetEncoder (class in texar.tf.modules)
XLNetRegressor (class in texar.tf.modules)
XLNetTokenizer (class in texar.tf.data)
Z
zero_state() (texar.tf.modules.AttentionRNNDecoder method)
(texar.tf.modules.BasicRNNDecoder method)
(texar.tf.modules.RNNDecoderBase method)
Read the Docs
v: latest
Versions
latest
stable
Downloads
On Read the Docs
Project Home
Builds
Free document hosting provided by
Read the Docs
.