Index

_

__call__() (graph_training_utils.EarlyStop method) (util.ExponentialRunningMean method) (util.RunningMean method)

A

avg_state() (batch.StateTrackingBatcher method)

B

batch (module) batch_normalize() (in module tf_ops)

batch_softmax_dist_loss() (in module tf_ops) bidir_lm_rnn() (in module tf_ops) blank_slate() (batch.StateTrackingBatcher method)

C

collect_stragglers() (batch.OnlineLMBatcher method)

ContextRNN (class in tiered_lm)

D

DayBatcher (class in batch) diag_mvn_loss() (in module tf_ops)

dnn() (in module tf_ops) dropout() (in module tf_ops)

E

EarlyStop (class in graph_training_utils) eval() (graph_training_utils.ModelRunner method)

event_padding_random() (batch.StateTrackingBatcher method) ExponentialRunningMean (class in util) eyed_mvn_loss() (in module tf_ops)

F

fan_scale() (in module tf_ops)

flush_batch() (batch.OnlineLMBatcher method) full_mvn_loss() (in module tf_ops)

G

get_batch_from_overflow() (batch.OnlineLMBatcher method) get_eval_indices() (batch.StateTrackingBatcher method) get_events() (batch.StateTrackingBatcher method) get_feed_dict() (in module graph_training_utils) get_mask() (in module util)

get_multivariate_loss_names() (in module util) get_new_events() (batch.StateTrackingBatcher method) get_state_triples() (batch.OnlineLMBatcher method) get_states() (batch.StateTrackingBatcher method) graph_training_utils (module)

H

headers (merge_streams.Merge attribute)

I

ident() (in module tf_ops)

J

join_multivariate_inputs() (in module tf_ops)

L

layer_norm() (in module tf_ops)

layer_norm_rnn() (in module tf_ops) lm_rnn() (in module tf_ops)

M

make_feature_spec() (in module util) make_key_map() (batch.StateTrackingBatcher method) make_loss_spec() (in module util)

Merge (class in merge_streams) merge_streams (module) ModelRunner (class in graph_training_utils) multivariate_loss() (in module tf_ops)

N

new_batch() (batch.NormalizingReplayOnlineBatcher method) (batch.OnlineLMBatcher method) (batch.StateTrackingBatcher method) next_batch() (batch.DayBatcher method) (batch.NormalizingReplayOnlineBatcher method) (batch.OnlineBatcher method) (batch.OnlineLMBatcher method) (batch.StateTrackingBatcher method)

next_event() (merge_streams.Merge method) NormalizingReplayOnlineBatcher (class in batch)

O

OnlineBatcher (class in batch)

OnlineLMBatcher (class in batch)

P

package_data() (batch.StateTrackingBatcher method)

Parser (class in util)

R

replay (batch.StateTrackingBatcher attribute) replay_batch() (batch.NormalizingReplayOnlineBatcher method) (batch.StateTrackingBatcher method)

return_parser() (in module simple_lm) (in module tiered_lm) RunningMean (class in util)

S

simple_lm (module) softmax_dist_loss() (in module tf_ops)

split_batch() (in module batch) StateTrackingBatcher (class in batch) swapping_rnn() (in module tf_ops)

T

tf_ops (module) tiered_lm (module)

tiered_lm() (in module tiered_lm) train_step() (graph_training_utils.ModelRunner method) true_bptt_rnn() (in module tf_ops)

U

update_state_triples() (batch.OnlineLMBatcher method)

update_states() (batch.StateTrackingBatcher method) util (module)

W

weights() (in module tf_ops)

write_results() (in module simple_lm)