SYMBOL INDEX (175 symbols across 27 files)

FILE: configs/path_cfgs.py
  class PATH (line 8) | class PATH:
    method __init__ (line 9) | def __init__(self):

FILE: configs/task_cfgs.py
  class Cfgs (line 16) | class Cfgs(PATH):
    method __init__ (line 18) | def __init__(self, args):
    method __repr__ (line 135) | def __repr__(self):
    method override_from_dict (line 144) | def override_from_dict(self, dict_):
    method set_silent_attr (line 148) | def set_silent_attr(self):
    method TRAIN_SPLITS (line 154) | def TRAIN_SPLITS(self):
    method EVAL_SPLITS (line 158) | def EVAL_SPLITS(self):
    method FEATURE_SPLIT (line 162) | def FEATURE_SPLIT(self):
    method EVAL_QUESTION_PATH (line 171) | def EVAL_QUESTION_PATH(self):
    method EVAL_ANSWER_PATH (line 177) | def EVAL_ANSWER_PATH(self):

FILE: configs/task_to_split.py
  class DictSafe (line 7) | class DictSafe(dict):
    method __init__ (line 9) | def __init__(self, data={}):
    method __getitem__ (line 15) | def __getitem__(self, key):

FILE: evaluation/ans_punct.py
  function process_punctuation (line 75) | def process_punctuation(inText):
  function process_digit_article (line 87) | def process_digit_article(inText):
  function prep_ans (line 103) | def prep_ans(answer):

FILE: evaluation/aok_utils/eval_predictions.py
  function eval_aokvqa (line 9) | def eval_aokvqa(dataset, preds, multiple_choice=False, strict=True):

FILE: evaluation/aok_utils/load_aokvqa.py
  function load_aokvqa (line 5) | def load_aokvqa(aokvqa_dir, split, version='v1p0'):
  function get_coco_path (line 12) | def get_coco_path(split, image_id, coco_dir):

FILE: evaluation/aok_utils/remap_predictions.py
  function map_to_choices (line 14) | def map_to_choices(dataset, predictions, device='cpu'):

FILE: evaluation/aokvqa_evaluate.py
  class AOKEvaluater (line 12) | class AOKEvaluater:
    method __init__ (line 13) | def __init__(self, annotation_path: str, question_path: str):
    method init (line 22) | def init(self):
    method set_mode (line 25) | def set_mode(self, multiple_choice=None, map_to_mc=None):
    method prep_ans (line 31) | def prep_ans(self, answer):
    method add (line 34) | def add(self, qid, answer):
    method save (line 44) | def save(self, result_path: str):
    method evaluate (line 53) | def evaluate(self, logfile=None):
  function _evaluate (line 64) | def _evaluate(dataset, results, direct_answer=True, multiple_choice=True):

FILE: evaluation/okvqa_evaluate.py
  class OKEvaluater (line 12) | class OKEvaluater:
    method __init__ (line 13) | def __init__(self, annotation_path: str, question_path: str):
    method init (line 21) | def init(self):
    method prep_ans (line 24) | def prep_ans(self, answer):
    method add (line 27) | def add(self, qid, answer):
    method save (line 34) | def save(self, result_path: str):
    method evaluate (line 38) | def evaluate(self, logfile=None):
  function _evaluate (line 48) | def _evaluate(annotation_file: str, question_file: str, result_file: str):

FILE: evaluation/vqa_utils/vqa.py
  class VQA (line 24) | class VQA:
    method __init__ (line 25) | def __init__(self, annotation_file=None, question_file=None):
    method createIndex (line 47) | def createIndex(self):
    method info (line 65) | def info(self):
    method getQuesIds (line 73) | def getQuesIds(self, imgIds=[], quesTypes=[], ansTypes=[]):
    method getImgIds (line 97) | def getImgIds(self, quesIds=[], quesTypes=[], ansTypes=[]):
    method loadQA (line 121) | def loadQA(self, ids=[]):
    method showQA (line 132) | def showQA(self, anns):
    method loadRes (line 146) | def loadRes(self, resFile, quesFile):

FILE: evaluation/vqa_utils/vqaEval.py
  class VQAEval (line 10) | class VQAEval:
    method __init__ (line 11) | def __init__(self, vqa, vqaRes, n=2):
    method evaluate (line 68) | def evaluate(self, quesIds=None):
    method processPunctuation (line 122) | def processPunctuation(self, inText):
    method processDigitArticle (line 134) | def processDigitArticle(self, inText):
    method setAccuracy (line 149) | def setAccuracy(self, accQA, accQuesType, accAnsType):
    method setEvalQA (line 154) | def setEvalQA(self, quesId, acc):
    method setEvalQuesType (line 157) | def setEvalQuesType(self, quesId, quesType, acc):
    method setEvalAnsType (line 162) | def setEvalAnsType(self, quesId, ansType, acc):
    method updateProgress (line 167) | def updateProgress(self, progress):

FILE: prophet/__init__.py
  function get_args (line 6) | def get_args():
  function get_runner (line 30) | def get_runner(__C, evaluater):

FILE: prophet/stage1/finetune.py
  class Runner (line 27) | class Runner(object):
    method __init__ (line 28) | def __init__(self, __C, evaluater):
    method train (line 32) | def train(self, train_set, eval_set=None):
    method eval (line 151) | def eval(self, dataset, net=None, eval_now=False):
    method run (line 224) | def run(self):
  function finetune_login_args (line 262) | def finetune_login_args(parser):

FILE: prophet/stage1/heuristics.py
  class Runner (line 29) | class Runner(object):
    method __init__ (line 30) | def __init__(self, __C, *args, **kwargs):
    method eval (line 36) | def eval(self, dataset):
    method run (line 109) | def run(self):
  function heuristics_login_args (line 164) | def heuristics_login_args(parser):

FILE: prophet/stage1/model/layers.py
  class AttFlat (line 14) | class AttFlat(nn.Module):
    method __init__ (line 15) | def __init__(self, __C):
    method forward (line 32) | def forward(self, x, x_mask):
  class MHAtt (line 53) | class MHAtt(nn.Module):
    method __init__ (line 54) | def __init__(self, __C):
    method forward (line 68) | def forward(self, v, k, q, mask):
    method att (line 91) | def att(self, value, key, query, mask):
  class SA_v (line 107) | class SA_v(nn.Module):
    method __init__ (line 108) | def __init__(self, __C):
    method forward (line 127) | def forward(self, *args):
    method att (line 155) | def att(self, value, key, query, mask):
  class FFN (line 171) | class FFN(nn.Module):
    method __init__ (line 172) | def __init__(self, __C):
    method forward (line 185) | def forward(self, x, *args):
  class SA (line 192) | class SA(nn.Module):
    method __init__ (line 193) | def __init__(self, __C):
    method forward (line 201) | def forward(self, x, x_mask, *args):
  class GA (line 209) | class GA(nn.Module):
    method __init__ (line 210) | def __init__(self, __C):
    method forward (line 218) | def forward(self, x, y, x_mask, y_mask, *args):

FILE: prophet/stage1/model/mcan.py
  class MCA_ED (line 17) | class MCA_ED(nn.Module):
    method __init__ (line 21) | def __init__(self, __C):
    method forward (line 29) | def forward(self, x, y, x_mask, y_mask):
  class MCAN (line 40) | class MCAN(nn.Module):
    method __init__ (line 49) | def __init__(self, __C, answer_size):
    method forward (line 79) | def forward(self, input_tuple, output_answer_latent=False):
    method make_mask (line 124) | def make_mask(self, feature):

FILE: prophet/stage1/model/mcan_for_finetune.py
  class MCANForFinetune (line 14) | class MCANForFinetune(MCAN):
    method __init__ (line 20) | def __init__(self, __C, answer_size, base_answer_size=3129):
    method parameter_init (line 26) | def parameter_init(self):
    method forward (line 30) | def forward(self, input_tuple, output_answer_latent=False):

FILE: prophet/stage1/model/net_utils.py
  class FC (line 9) | class FC(nn.Module):
    method __init__ (line 10) | def __init__(self, in_size, out_size, dropout_r=0., use_relu=True):
    method forward (line 23) | def forward(self, x):
  class MLP (line 35) | class MLP(nn.Module):
    method __init__ (line 36) | def __init__(self, in_size, mid_size, out_size, dropout_r=0., use_relu...
    method forward (line 42) | def forward(self, x):
  function flatten (line 46) | def flatten(x):
  function unflatten (line 52) | def unflatten(x, shape):
  class Identity (line 58) | class Identity(nn.Module):
    method __init__ (line 59) | def __init__(self):
    method forward (line 62) | def forward(self, x):

FILE: prophet/stage1/model/rope2d.py
  function rotate_every_two (line 14) | def rotate_every_two(x):
  function apply_rotary_pos_emb (line 22) | def apply_rotary_pos_emb(q, k, sinu_pos):
  class RoPE2d (line 28) | class RoPE2d(nn.Module):
    method __init__ (line 29) | def __init__(self, in_dim, size):
    method forward (line 53) | def forward(self, k, q):

FILE: prophet/stage1/pretrain.py
  class Runner (line 27) | class Runner(object):
    method __init__ (line 28) | def __init__(self, __C, *args, **kwargs):
    method train (line 31) | def train(self, train_set, eval_set=None):
    method run (line 148) | def run(self):
  function pretrain_login_args (line 164) | def pretrain_login_args(parser):

FILE: prophet/stage1/utils/load_data.py
  function soft_target (line 22) | def soft_target(answers, ans_to_ix, preprocess=True):
  class CommonData (line 32) | class CommonData:
    method __init__ (line 39) | def __init__(self, __C) -> None:
  class DataSet (line 69) | class DataSet(Data.Dataset):
    method __init__ (line 70) | def __init__(self, __C, common_data, split_name_list):
    method __getitem__ (line 116) | def __getitem__(self, idx):
    method __len__ (line 161) | def __len__(self):
    method bert_tokenize (line 164) | def bert_tokenize(self, text, max_token):

FILE: prophet/stage1/utils/optim.py
  class OptimizerWrapper (line 10) | class OptimizerWrapper(object):
    method __init__ (line 15) | def __init__(self, optimizers,
    method zero_grad (line 40) | def zero_grad(self):
    method step (line 43) | def step(self, step=None, schd_step=False):
    method schedule_step (line 57) | def schedule_step(self, schd_step):
    method current_lr (line 71) | def current_lr(self):
    method state_dict (line 74) | def state_dict(self):
    method load_state_dict (line 77) | def load_state_dict(self, state_dict):
  function get_optim (line 81) | def get_optim(__C, model):
  function get_optim_for_finetune (line 105) | def get_optim_for_finetune(__C, model, new_params_name='proj1'):

FILE: prophet/stage2/prompt.py
  class Runner (line 25) | class Runner:
    method __init__ (line 26) | def __init__(self, __C, evaluater):
    method gpt3_infer (line 31) | def gpt3_infer(self, prompt_text, _retry=0):
    method sample_make (line 73) | def sample_make(self, ques, capt, cands, ans=None):
    method get_context (line 86) | def get_context(self, example_qids):
    method run (line 100) | def run(self):
  function prompt_login_args (line 200) | def prompt_login_args(parser):

FILE: prophet/stage2/utils/data_utils.py
  function ok_score (line 12) | def ok_score(gt_answers):
  function aok_score (line 30) | def aok_score(gt_answers):
  class Qid2Data (line 47) | class Qid2Data(Dict):
    method __init__ (line 48) | def __init__(self, __C, splits, annotated=False, similar_examples=None):
    method __getitem__ (line 134) | def __getitem__(self, __key):
    method get_caption (line 138) | def get_caption(self, qid):
    method get_question (line 145) | def get_question(self, qid):
    method get_gt_answers (line 149) | def get_gt_answers(self, qid):
    method get_most_answer (line 154) | def get_most_answer(self, qid):
    method get_topk_candidates (line 159) | def get_topk_candidates(self, qid, k=None):
    method get_similar_qids (line 165) | def get_similar_qids(self, qid, k=None):
    method evaluate_by_threshold (line 171) | def evaluate_by_threshold(self, ans_set, threshold=1.0):
    method topk_accuracy (line 189) | def topk_accuracy(self, k=1, sub_set=None):
    method rt_evaluate (line 205) | def rt_evaluate(self, answer_set):

FILE: prophet/stage2/utils/fancy_pbar.py
  class RichColumn (line 12) | class RichColumn(ProgressColumn):
    method __init__ (line 13) | def __init__(self, table_column: Optional[Column] = None) -> None:
    method render (line 22) | def render(self, task: "Task") -> Text:
  function exit_progress (line 57) | def exit_progress():

FILE: tools/extract_img_feats.py
  function _extract_feat (line 25) | def _extract_feat(img_path, net, T, save_path):
  class ExtractModel (line 41) | class ExtractModel:
    method __init__ (line 42) | def __init__(self, encoder) -> None:
    method __call__ (line 49) | def __call__(self, img):
  function main (line 54) | def main(__C, dataset):

FILE: tools/transforms.py
  function Pad (line 21) | def Pad():
  function _convert_image_to_rgb (line 35) | def _convert_image_to_rgb(image):
  function identity (line 38) | def identity(x):
  function _transform (line 41) | def _transform(n_px, pad=False, crop=False):