SYMBOL INDEX (82 symbols across 15 files)

FILE: config.py
  class DefaultConfigs (line 1) | class DefaultConfigs(object):

FILE: main.py
  function seed_everything (line 40) | def seed_everything(seed):
  function makdir (line 50) | def makdir():
  function main (line 62) | def main():
  function train (line 196) | def train(train_loader, model, criterion, optimizer, epoch):
  function validate (line 255) | def validate(val_loader, model, criterion, epoch):

FILE: models/model.py
  function gem (line 19) | def gem(x, p=3, eps=1e-6):
  class GeM (line 22) | class GeM(nn.Module):
    method __init__ (line 23) | def __init__(self, p=3, eps=1e-6):
    method forward (line 27) | def forward(self, x):
    method __repr__ (line 29) | def __repr__(self):
  function get_model (line 32) | def get_model():

FILE: test.py
  class WeatherTTADataset (line 22) | class WeatherTTADataset(Dataset):
    method __init__ (line 23) | def __init__(self,labels_file,aug):
    method __getitem__ (line 39) | def __getitem__(self,index):
    method __len__ (line 45) | def __len__(self):
    method transform_ (line 47) | def transform_(self,data_torch,aug):

FILE: utils/logger.py
  function savefig (line 11) | def savefig(fname, dpi=None):
  function plot_overlap (line 15) | def plot_overlap(logger, names=None):
  class Logger (line 23) | class Logger(object):
    method __init__ (line 25) | def __init__(self, fpath, title=None, resume=False):
    method set_names (line 47) | def set_names(self, names):
    method append (line 61) | def append(self, numbers):
    method plot (line 70) | def plot(self, names=None):
    method close (line 79) | def close(self):
  class LoggerMonitor (line 83) | class LoggerMonitor(object):
    method __init__ (line 85) | def __init__ (self, paths):
    method plot (line 92) | def plot(self, names=None):

FILE: utils/losses/focalloss.py
  class FocalLoss (line 4) | class FocalLoss(nn.Module):
    method __init__ (line 5) | def __init__(self, gamma=2., reduction='mean'):
    method forward (line 10) | def forward(self, inputs, targets):

FILE: utils/losses/label_smoothing.py
  class LabelSmoothingLoss (line 8) | class LabelSmoothingLoss(nn.Module):
    method __init__ (line 9) | def __init__(self, label_smoothing, class_nums, ignore_index=-100):
    method forward (line 22) | def forward(self, output, target):

FILE: utils/misc.py
  function get_optimizer (line 12) | def get_optimizer(model):
  function save_checkpoint (line 46) | def save_checkpoint(state,is_best,is_best_loss):
  function get_lr (line 56) | def get_lr(optimizer):
  class AverageMeter (line 60) | class AverageMeter(object):
    method __init__ (line 64) | def __init__(self):
    method reset (line 67) | def reset(self):
    method update (line 73) | def update(self, val, n=1):
  function accuracy (line 79) | def accuracy(output, target, topk=(1,)):
  function get_files (line 94) | def get_files(root,mode):
  function adjust_learning_rate (line 111) | def adjust_learning_rate(optimizer, epoch):

FILE: utils/optimizers/lookahead.py
  class Lookahead (line 11) | class Lookahead(Optimizer):
    method __init__ (line 12) | def __init__(self, base_optimizer, alpha=0.5, k=6):
    method update_slow (line 28) | def update_slow(self, group):
    method sync_lookahead (line 40) | def sync_lookahead(self):
    method step (line 44) | def step(self, closure=None):
    method state_dict (line 54) | def state_dict(self):
    method load_state_dict (line 68) | def load_state_dict(self, state_dict):
  function LookaheadAdam (line 94) | def LookaheadAdam(params, alpha=0.5, k=6, *args, **kwargs):

FILE: utils/optimizers/novograd.py
  class AdamW (line 19) | class AdamW(Optimizer):
    method __init__ (line 42) | def __init__(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8,
    method __setstate__ (line 56) | def __setstate__(self, state):
    method step (line 61) | def step(self, closure=None):
  class Novograd (line 118) | class Novograd(Optimizer):
    method __init__ (line 137) | def __init__(self, params, lr=1e-3, betas=(0.95, 0), eps=1e-8,
    method __setstate__ (line 154) | def __setstate__(self, state):
    method step (line 159) | def step(self, closure=None):

FILE: utils/optimizers/over9000.py
  function Over9000 (line 12) | def Over9000(params, alpha=0.5, k=6, *args, **kwargs):

FILE: utils/optimizers/radam.py
  class RAdam (line 7) | class RAdam(Optimizer):
    method __init__ (line 9) | def __init__(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, weig...
    method __setstate__ (line 14) | def __setstate__(self, state):
    method step (line 17) | def step(self, closure=None):
  class PlainRAdam (line 82) | class PlainRAdam(Optimizer):
    method __init__ (line 84) | def __init__(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, weig...
    method __setstate__ (line 89) | def __setstate__(self, state):
    method step (line 92) | def step(self, closure=None):
  class AdamW (line 147) | class AdamW(Optimizer):
    method __init__ (line 149) | def __init__(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, weig...
    method __setstate__ (line 154) | def __setstate__(self, state):
    method step (line 157) | def step(self, closure=None):

FILE: utils/optimizers/ralamb.py
  class Ralamb (line 5) | class Ralamb(Optimizer):
    method __init__ (line 7) | def __init__(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, weig...
    method __setstate__ (line 12) | def __setstate__(self, state):
    method step (line 15) | def step(self, closure=None):

FILE: utils/optimizers/ranger.py
  function Ranger (line 9) | def Ranger(params, alpha=0.5, k=6, *args, **kwargs):

FILE: utils/reader.py
  class WeatherDataset (line 4) | class WeatherDataset(Dataset):
    method __init__ (line 6) | def __init__(self,label_list,transforms=None,mode="train"):
    method __len__ (line 20) | def __len__(self):
    method __getitem__ (line 22) | def __getitem__(self,index):