# model passed variables

SEL_INDXS = 'sel_indxs'
SEL_INDXS_MASK = 'sel_indxs_mask'
FEATS = 'feats'
FEATS_MASK = 'feats_mask'
SRC = 'src'
TGT = 'target'
PRIOR_DISTR = 'p_distr'
DISTR_MASK = 'distr_mask'

PREV_SEL_INDXS = 'prev_sel_indxs'

SEP_REPL = 'madeupword0002'
SUBSEQ_REPL = 'madeupword0001'

# logging
SEL_TRAIN_INNER = 'sel_train_inner'
SUM_TRAIN_INNER = 'sum_train_inner'

# training
SEL_STEP_NUM = 'sel_step_num'
SUM_STEP_NUM = 'sum_step_num'
SEL_STEP = 'sel_step'
SUM_STEP = 'sum_step'

# model passed variables

SEL_INDXS = 'sel_indxs'
SEL_INDXS_MASK = 'sel_indxs_mask'
FEATS = 'feats'
FEATS_MASK = 'feats_mask'
SRC = 'src'
TGT = 'target'
PRIOR_DISTR = 'p_distr'
DISTR_MASK = 'distr_mask'

PREV_SEL_INDXS = 'prev_sel_indxs'

SEP_REPL = 'madeupword0002'
SUBSEQ_REPL = 'madeupword0001'

# logging
SEL_TRAIN_INNER = 'sel_train_inner'
SUM_TRAIN_INNER = 'sum_train_inner'

# training
SEL_STEP_NUM = 'sel_step_num'
SUM_STEP_NUM = 'sum_step_num'
SEL_STEP = 'sel_step'
SUM_STEP = 'sum_step'

# model passed variables # logging # training