SYMBOL INDEX (66 symbols across 8 files)

FILE: examples/NLG/eval/eval.py
  function parse (line 63) | def parse(refs_path, hyps_path, num_refs, lng='en'):
  function bleu_score (line 102) | def bleu_score(refs_path, hyps_path, num_refs):
  function bleu_nltk (line 125) | def bleu_nltk(references, hypothesis):
  function meteor_score (line 138) | def meteor_score(references, hypothesis, num_refs, lng='en'):
  function chrF_score (line 174) | def chrF_score(references, hypothesis, num_refs, nworder, ncorder, beta):
  function ter_score (line 216) | def ter_score(references, hypothesis, num_refs):
  function bert_score_ (line 239) | def bert_score_(references, hypothesis, lng='en'):
  function bleurt (line 257) | def bleurt(references, hypothesis, num_refs, checkpoint = "metrics/bleur...
  function run (line 270) | def run(refs_path, hyps_path, num_refs, lng='en', metrics='bleu,meteor,c...

FILE: examples/NLG/src/encoder.py
  function bytes_to_unicode (line 12) | def bytes_to_unicode():
  function get_pairs (line 34) | def get_pairs(word):
  class Encoder (line 46) | class Encoder:
    method __init__ (line 48) | def __init__(self, encoder, bpe_merges, errors='replace'):
    method bpe (line 66) | def bpe(self, token):
    method encode (line 107) | def encode(self, text):
    method decode (line 117) | def decode(self, tokens):
  function get_encoder (line 123) | def get_encoder(models_dir):

FILE: examples/NLG/src/exp_utils.py
  function logging (line 12) | def logging(s, log_path, print_=True, log_=True):
  function get_logger (line 20) | def get_logger(log_path, **kwargs):
  function create_exp_dir (line 24) | def create_exp_dir(dir_path, scripts_to_save=None, debug=False):
  function save_checkpoint (line 44) | def save_checkpoint(model, optimizer, path, epoch):

FILE: examples/NLG/src/gpt2_beam.py
  function print_args (line 84) | def print_args(args):
  function _reorder_cache (line 92) | def _reorder_cache(past: Tuple, beam_idx: Tensor) -> Tuple[Tensor]:
  function _calc_banned_ngram_tokens (line 96) | def _calc_banned_ngram_tokens(
  function _enforce_repetition_penalty_ (line 125) | def _enforce_repetition_penalty_(
  function _postprocess_next_token_scores (line 145) | def _postprocess_next_token_scores(
  function _add_beam_candidate (line 182) | def _add_beam_candidate(
  function beam (line 206) | def beam(model, data_iter, args):

FILE: examples/NLG/src/gpt2_decode.py
  function stardard_tokenize (line 49) | def stardard_tokenize(sent):
  function post_process (line 56) | def post_process(sent, is_tokenize, is_lower):

FILE: examples/NLG/src/gpt2_ft.py
  function print_args (line 94) | def print_args(args):
  class AverageMeter (line 102) | class AverageMeter(object):
    method __init__ (line 106) | def __init__(self):
    method reset (line 109) | def reset(self):
    method update (line 115) | def update(self, val, n=1):
  function optimizer_step (line 122) | def optimizer_step(_loss, _optimizer, _model, _schedule, args, is_update...
  function evaluate (line 143) | def evaluate(model, valid_loader, args):
  function train_validate (line 171) | def train_validate(

FILE: examples/NLG/src/gpu.py
  function add_gpu_params (line 19) | def add_gpu_params(parser: argparse.ArgumentParser):
  function distributed_opt (line 28) | def distributed_opt(args, model, opt, grad_acc=1):
  function distributed_gather (line 42) | def distributed_gather(args, tensor):
  function distributed_sync (line 48) | def distributed_sync(args):
  function parse_gpu (line 55) | def parse_gpu(args):
  function cleanup (line 124) | def cleanup(args):

FILE: examples/NLG/src/optimizer.py
  function add_optimizer_params (line 19) | def add_optimizer_params(parser: argparse.ArgumentParser):
  class AdamW (line 42) | class AdamW(Optimizer):
    method __init__ (line 51) | def __init__(self, params, lr=1e-3, betas=(0.9, 0.98), eps=1e-6, weigh...
    method reset_state (line 64) | def reset_state(self):
    method step (line 72) | def step(self, closure=None):
  class CosineAnnealingWarmupRestarts (line 133) | class CosineAnnealingWarmupRestarts(_LRScheduler):
    method __init__ (line 144) | def __init__(
    method init_lr (line 163) | def init_lr(self):
    method get_lr (line 167) | def get_lr(self):
    method step (line 177) | def step(self, epoch=None):
  class CyclicScheduler (line 187) | class CyclicScheduler(_LRScheduler):
    method __init__ (line 188) | def __init__(
    method init_lr (line 206) | def init_lr(self):
    method get_lr (line 210) | def get_lr(self):
    method step (line 222) | def step(self, epoch=None):
  function get_linear_schedule_with_warmup (line 234) | def get_linear_schedule_with_warmup(
  function get_constant_schedule_with_warmup (line 250) | def get_constant_schedule_with_warmup(
  function create_grouped_parameters (line 266) | def create_grouped_parameters(model, no_decay_bias): # args):
  function create_adam_optimizer (line 286) | def create_adam_optimizer(
  function create_sgd_optimizer (line 311) | def create_sgd_optimizer(model, lr):
  function create_adam_optimizer_from_args (line 316) | def create_adam_optimizer_from_args(model, args, grouped_parameters=None):
  function create_optimizer_scheduler (line 331) | def create_optimizer_scheduler(optimizer, args):