k2

add_epsilon_self_loops

arc_sort

cat

closure

compose

compose_arc_maps

connect

convert_dense_to_fsa_vec

create_fsa_vec

create_sparse

ctc_graph

ctc_loss

ctc_topo

determinize

do_rnnt_pruning

expand_ragged_attributes

get_aux_labels

get_best_matching_stats

get_lattice

get_rnnt_logprobs

get_rnnt_logprobs_joint

get_rnnt_logprobs_pruned

get_rnnt_logprobs_smoothed

get_rnnt_prune_ranges

get_rnnt_prune_ranges_deprecated

index_add

index_fsa

index_select

intersect

intersect_dense

intersect_dense_pruned

intersect_device

invert

is_rand_equivalent

joint_mutual_information_recursion

levenshtein_alignment

levenshtein_graph

linear_fsa

linear_fsa_with_self_loops

linear_fst

linear_fst_with_self_loops

mutual_information_recursion

mwer_loss

one_best_decoding

properties_to_str

prune_on_arc_post

pruned_ranges_to_lattice

random_fsa

random_fsa_vec

random_paths

remove_epsilon

remove_epsilon_and_add_self_loops

remove_epsilon_self_loops

replace_fsa

reverse

rnnt_loss

rnnt_loss_pruned

rnnt_loss_simple

rnnt_loss_smoothed

shortest_path

simple_ragged_index_select

swoosh_l

swoosh_l_forward

swoosh_l_forward_and_deriv

swoosh_r

swoosh_r_forward

swoosh_r_forward_and_deriv

to_dot

to_str

to_str_simple

to_tensor

top_sort

trivial_graph

union

CtcLoss

forward

DecodeStateInfo

DenseFsaVec

__init__

_from_dense_fsa_vec

to

device

duration

DeterminizeWeightPushingType

name

value

Fsa

__getattr__

__getitem__

__init__

__setattr__

__str__

_get_arc_post

_get_backward_scores

_get_entering_arcs

_get_forward_scores

_get_tot_scores

_invalidate_cache_

as_dict

convert_attr_to_ragged

draw

from_openfst

from_str

get_arc_post

get_backward_scores

get_filler

get_forward_scores

get_tot_scores

invert

invert_

rename_tensor_attribute

requires_grad_

set_scores_stochastic

to

device

grad

num_arcs

properties

properties_str

requires_grad

shape

MWERLoss

forward

Nbest

from_lattice

intersect

top_k

total_scores

OnlineDenseIntersecter

__init__

decode

num_streams

RaggedShape

__eq__

__getitem__

__init__

__ne__

__repr__

__str__

compose

get_layer

index

max_size

numel

regular_ragged_shape

remove_axis

row_ids

row_splits

to

tot_size

tot_sizes

device

dim0

num_axes

RaggedTensor

__eq__

__getitem__

__getstate__

__init__

__ne__

__repr__

__setstate__

__str__

add

arange

argmax

cat

clone

index

logsumexp

max

min

normalize

numel

pad

remove_axis

remove_values_eq

remove_values_leq

requires_grad_

sort_

sum

to

to_str_simple

tolist

tot_size

unique

device

dim0

dtype

grad

is_cuda

num_axes

requires_grad

shape

values

RnntDecodingConfig

__init__

beam

decoder_history_len

max_contexts

max_states

vocab_size

RnntDecodingStream

__init__

__str__

RnntDecodingStreams

__init__

__str__

advance

format_output

get_contexts

terminate_and_flush_to_streams

SymbolTable

add

from_file

from_str

get

merge

to_file

ids

symbols

k2.ragged

cat

create_ragged_shape2

create_ragged_tensor

index

index_and_sum

random_ragged_shape

regular_ragged_shape

RaggedShape

__eq__

__getitem__

__init__

__ne__

__repr__

__str__

compose

get_layer

index

max_size

numel

regular_ragged_shape

remove_axis

row_ids

row_splits

to

tot_size

tot_sizes

device

dim0

num_axes

RaggedTensor

__eq__

__getitem__

__getstate__

__init__

__ne__

__repr__

__setstate__

__str__

add

arange

argmax

cat

clone

index

logsumexp

max

min

normalize

numel

pad

remove_axis

remove_values_eq

remove_values_leq

requires_grad_

sort_

sum

to

to_str_simple

tolist

tot_size

unique

device

dim0

dtype

grad

is_cuda

num_axes

requires_grad

shape

values