SYMBOL INDEX (55 symbols across 4 files)

FILE: fine-tune.py
  function _parse_args (line 310) | def _parse_args():
  function load_init_checkpoint (line 327) | def load_init_checkpoint(model, checkpoint_path):
  function main (line 350) | def main():
  function train_one_epoch (line 713) | def train_one_epoch(
  function concat_all_gather (line 824) | def concat_all_gather(tensor):
  function validate (line 837) | def validate(model, loader, loss_fn, args, amp_autocast=suppress, log_su...

FILE: models/inception_transformer.py
  function _cfg (line 42) | def _cfg(url='', **kwargs):
  function _no_grad_trunc_normal_ (line 72) | def _no_grad_trunc_normal_(tensor, mean, std, a, b):
  function trunc_normal_ (line 108) | def trunc_normal_(tensor, mean=0., std=1., a=-2., b=2.):
  function variance_scaling_ (line 130) | def variance_scaling_(tensor, scale=1.0, mode='fan_in', distribution='no...
  function lecun_normal_ (line 153) | def lecun_normal_(tensor):
  class PatchEmbed (line 156) | class PatchEmbed(nn.Module):
    method __init__ (line 159) | def __init__(self, img_size=224, kernel_size=16,  stride=16, padding=0...
    method forward (line 169) | def forward(self, x):
  class FirstPatchEmbed (line 176) | class FirstPatchEmbed(nn.Module):
    method __init__ (line 179) | def __init__(self, kernel_size=3,  stride=2, padding=1, in_chans=3, em...
    method forward (line 188) | def forward(self, x):
  class HighMixer (line 198) | class HighMixer(nn.Module):
    method __init__ (line 199) | def __init__(self, dim, kernel_size=3, stride=1, padding=1,
    method forward (line 217) | def forward(self, x):
  class LowMixer (line 233) | class LowMixer(nn.Module):
    method __init__ (line 234) | def __init__(self, dim, num_heads=8, qkv_bias=False, attn_drop=0., poo...
    method att_fun (line 249) | def att_fun(self, q, k, v, B, N, C):
    method forward (line 257) | def forward(self, x):
  class Mixer (line 271) | class Mixer(nn.Module):
    method __init__ (line 272) | def __init__(self, dim, num_heads=8, qkv_bias=False, attn_drop=0., pro...
    method forward (line 289) | def forward(self, x):
  class Block (line 306) | class Block(nn.Module):
    method __init__ (line 308) | def __init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, drop=...
    method forward (line 330) | def forward(self, x):
  class InceptionTransformer (line 339) | class InceptionTransformer(nn.Module):
    method __init__ (line 340) | def __init__(self, img_size=224, patch_size=16, in_chans=3, num_classe...
    method init_weights (line 415) | def init_weights(self, mode=''):
    method _init_weights (line 423) | def _init_weights(self, m):
    method no_weight_decay (line 429) | def no_weight_decay(self):
    method get_classifier (line 432) | def get_classifier(self):
    method reset_classifier (line 438) | def reset_classifier(self, num_classes, global_pool=''):
    method _get_pos_embed (line 444) | def _get_pos_embed(self, pos_embed, num_patches_def, H, W):
    method forward_features (line 452) | def forward_features(self, x):
    method forward (line 480) | def forward(self, x):
  function _init_vit_weights (line 485) | def _init_vit_weights(module: nn.Module, name: str = '', head_bias: floa...
  function iformer_small (line 512) | def iformer_small(pretrained=False, **kwargs):
  function iformer_small_384 (line 536) | def iformer_small_384(pretrained=False, **kwargs):
  function iformer_base (line 560) | def iformer_base(pretrained=False, **kwargs):
  function iformer_base_384 (line 584) | def iformer_base_384(pretrained=False, **kwargs):
  function iformer_large (line 606) | def iformer_large(pretrained=False, **kwargs):
  function iformer_large_384 (line 630) | def iformer_large_384(pretrained=False, **kwargs):

FILE: train.py
  function _parse_args (line 314) | def _parse_args():
  function main (line 331) | def main():
  function train_one_epoch (line 687) | def train_one_epoch(
  function concat_all_gather (line 797) | def concat_all_gather(tensor):
  function validate (line 810) | def validate(model, loader, loss_fn, args, amp_autocast=suppress, log_su...

FILE: validate.py
  function validate (line 123) | def validate(args):
  function main (line 297) | def main():
  function write_results (line 361) | def write_results(results_file, results):