SYMBOL INDEX (188 symbols across 16 files)

FILE: ACON/ResNet_ACON/resnet_acon.py
  function conv3x3 (line 17) | def conv3x3(in_planes: int, out_planes: int, stride: int = 1, groups: in...
  function conv1x1 (line 23) | def conv1x1(in_planes: int, out_planes: int, stride: int = 1) -> nn.Conv2d:
  class BasicBlock_ACON (line 27) | class BasicBlock_ACON(nn.Module):
    method __init__ (line 32) | def __init__(
    method forward (line 61) | def forward(self, x: Tensor) -> Tensor:
  class Bottleneck_ACON (line 79) | class Bottleneck_ACON(nn.Module):
    method __init__ (line 90) | def __init__(
    method forward (line 117) | def forward(self, x: Tensor) -> Tensor:
  class ResNet (line 140) | class ResNet(nn.Module):
    method __init__ (line 142) | def __init__(
    method _make_layer (line 201) | def _make_layer(self, block: Type[Union[BasicBlock_ACON, Bottleneck_AC...
    method _forward_impl (line 226) | def _forward_impl(self, x: Tensor) -> Tensor:
    method forward (line 244) | def forward(self, x: Tensor) -> Tensor:
  function _resnet (line 248) | def _resnet(
  function resnet50_acon (line 260) | def resnet50_acon(pretrained: bool = False, progress: bool = True, **kwa...
  function resnet101_acon (line 270) | def resnet101_acon(pretrained: bool = False, progress: bool = True, **kw...
  function resnet152_acon (line 280) | def resnet152_acon(pretrained: bool = False, progress: bool = True, **kw...

FILE: ACON/ResNet_ACON/train.py
  class OpencvResize (line 18) | class OpencvResize(object):
    method __init__ (line 20) | def __init__(self, size=256):
    method __call__ (line 23) | def __call__(self, img):
  class ToBGRTensor (line 36) | class ToBGRTensor(object):
    method __call__ (line 38) | def __call__(self, img):
  class DataIterator (line 48) | class DataIterator(object):
    method __init__ (line 50) | def __init__(self, dataloader):
    method next (line 54) | def next(self):
  function get_args (line 62) | def get_args():
  function main (line 86) | def main():
  function adjust_bn_momentum (line 183) | def adjust_bn_momentum(model, iters):
  function train (line 188) | def train(model, device, args, *, val_interval, bn_process=False, all_it...
  function validate (line 236) | def validate(model, device, args, *, all_iters=None):
  function load_checkpoint (line 268) | def load_checkpoint(net, checkpoint):

FILE: ACON/ResNet_ACON/utils.py
  class CrossEntropyLabelSmooth (line 6) | class CrossEntropyLabelSmooth(nn.Module):
    method __init__ (line 8) | def __init__(self, num_classes, epsilon):
    method forward (line 14) | def forward(self, inputs, targets):
  class AvgrageMeter (line 22) | class AvgrageMeter(object):
    method __init__ (line 24) | def __init__(self):
    method reset (line 27) | def reset(self):
    method update (line 33) | def update(self, val, n=1):
  function accuracy (line 40) | def accuracy(output, target, topk=(1,)):
  function save_checkpoint (line 55) | def save_checkpoint(state, iters, tag=''):
  function get_lastest_model (line 61) | def get_lastest_model():
  function get_parameters (line 73) | def get_parameters(model):

FILE: ACON/ShuffleNetV2_ACON/network.py
  class ShuffleV2Block_ACON (line 8) | class ShuffleV2Block_ACON(nn.Module):
    method __init__ (line 9) | def __init__(self, inp, oup, mid_channels, *, ksize, stride):
    method forward (line 51) | def forward(self, old_x):
    method channel_shuffle (line 60) | def channel_shuffle(self, x):
  class ShuffleNetV2_ACON (line 69) | class ShuffleNetV2_ACON(nn.Module):
    method __init__ (line 70) | def __init__(self, input_size=224, n_class=1000, model_size='1.5x'):
    method forward (line 125) | def forward(self, x):
    method _initialize_weights (line 138) | def _initialize_weights(self):

FILE: ACON/ShuffleNetV2_ACON/train.py
  class OpencvResize (line 18) | class OpencvResize(object):
    method __init__ (line 20) | def __init__(self, size=256):
    method __call__ (line 23) | def __call__(self, img):
  class ToBGRTensor (line 36) | class ToBGRTensor(object):
    method __call__ (line 38) | def __call__(self, img):
  class DataIterator (line 48) | class DataIterator(object):
    method __init__ (line 50) | def __init__(self, dataloader):
    method next (line 54) | def next(self):
  function get_args (line 62) | def get_args():
  function main (line 88) | def main():
  function adjust_bn_momentum (line 186) | def adjust_bn_momentum(model, iters):
  function train (line 191) | def train(model, device, args, *, val_interval, bn_process=False, all_it...
  function validate (line 239) | def validate(model, device, args, *, all_iters=None):
  function load_checkpoint (line 271) | def load_checkpoint(net, checkpoint):

FILE: ACON/ShuffleNetV2_ACON/utils.py
  class CrossEntropyLabelSmooth (line 6) | class CrossEntropyLabelSmooth(nn.Module):
    method __init__ (line 8) | def __init__(self, num_classes, epsilon):
    method forward (line 14) | def forward(self, inputs, targets):
  class AvgrageMeter (line 22) | class AvgrageMeter(object):
    method __init__ (line 24) | def __init__(self):
    method reset (line 27) | def reset(self):
    method update (line 33) | def update(self, val, n=1):
  function accuracy (line 40) | def accuracy(output, target, topk=(1,)):
  function save_checkpoint (line 55) | def save_checkpoint(state, iters, tag=''):
  function get_lastest_model (line 61) | def get_lastest_model():
  function get_parameters (line 73) | def get_parameters(model):

FILE: MetaACON/ResNet_MetaACON/resnet_metaacon.py
  function conv3x3 (line 17) | def conv3x3(in_planes: int, out_planes: int, stride: int = 1, groups: in...
  function conv1x1 (line 23) | def conv1x1(in_planes: int, out_planes: int, stride: int = 1) -> nn.Conv2d:
  class Bottleneck_MetaACON (line 28) | class Bottleneck_MetaACON(nn.Module):
    method __init__ (line 40) | def __init__(
    method forward (line 67) | def forward(self, x: Tensor) -> Tensor:
  class ResNet (line 89) | class ResNet(nn.Module):
    method __init__ (line 91) | def __init__(
    method _make_layer (line 148) | def _make_layer(self, block: Type[Union[Bottleneck_MetaACON]], planes:...
    method _forward_impl (line 173) | def _forward_impl(self, x: Tensor) -> Tensor:
    method forward (line 191) | def forward(self, x: Tensor) -> Tensor:
  function _resnet (line 195) | def _resnet(
  function resnet50_metaacon (line 207) | def resnet50_metaacon(pretrained: bool = False, progress: bool = True, *...
  function resnet101_metaacon (line 217) | def resnet101_metaacon(pretrained: bool = False, progress: bool = True, ...
  function resnet152_metaacon (line 227) | def resnet152_metaacon(pretrained: bool = False, progress: bool = True, ...

FILE: MetaACON/ResNet_MetaACON/train.py
  class OpencvResize (line 18) | class OpencvResize(object):
    method __init__ (line 20) | def __init__(self, size=256):
    method __call__ (line 23) | def __call__(self, img):
  class ToBGRTensor (line 36) | class ToBGRTensor(object):
    method __call__ (line 38) | def __call__(self, img):
  class DataIterator (line 48) | class DataIterator(object):
    method __init__ (line 50) | def __init__(self, dataloader):
    method next (line 54) | def next(self):
  function get_args (line 62) | def get_args():
  function main (line 86) | def main():
  function adjust_bn_momentum (line 183) | def adjust_bn_momentum(model, iters):
  function train (line 188) | def train(model, device, args, *, val_interval, bn_process=False, all_it...
  function validate (line 236) | def validate(model, device, args, *, all_iters=None):
  function load_checkpoint (line 268) | def load_checkpoint(net, checkpoint):

FILE: MetaACON/ResNet_MetaACON/utils.py
  class CrossEntropyLabelSmooth (line 6) | class CrossEntropyLabelSmooth(nn.Module):
    method __init__ (line 8) | def __init__(self, num_classes, epsilon):
    method forward (line 14) | def forward(self, inputs, targets):
  class AvgrageMeter (line 22) | class AvgrageMeter(object):
    method __init__ (line 24) | def __init__(self):
    method reset (line 27) | def reset(self):
    method update (line 33) | def update(self, val, n=1):
  function accuracy (line 40) | def accuracy(output, target, topk=(1,)):
  function save_checkpoint (line 55) | def save_checkpoint(state, iters, tag=''):
  function get_lastest_model (line 61) | def get_lastest_model():
  function get_parameters (line 73) | def get_parameters(model):

FILE: MetaACON/ShuffleNet_MetaACON/network.py
  class ShuffleV2Block_MetaACON (line 8) | class ShuffleV2Block_MetaACON(nn.Module):
    method __init__ (line 9) | def __init__(self, inp, oup, mid_channels, *, ksize, stride, r=16):
    method forward (line 51) | def forward(self, old_x):
    method channel_shuffle (line 60) | def channel_shuffle(self, x):
  class ShuffleNetV2_MetaACON (line 69) | class ShuffleNetV2_MetaACON(nn.Module):
    method __init__ (line 70) | def __init__(self, input_size=224, n_class=1000, model_size='1.5x'):
    method forward (line 127) | def forward(self, x):
    method _initialize_weights (line 140) | def _initialize_weights(self):

FILE: MetaACON/ShuffleNet_MetaACON/train.py
  class OpencvResize (line 18) | class OpencvResize(object):
    method __init__ (line 20) | def __init__(self, size=256):
    method __call__ (line 23) | def __call__(self, img):
  class ToBGRTensor (line 36) | class ToBGRTensor(object):
    method __call__ (line 38) | def __call__(self, img):
  class DataIterator (line 48) | class DataIterator(object):
    method __init__ (line 50) | def __init__(self, dataloader):
    method next (line 54) | def next(self):
  function get_args (line 62) | def get_args():
  function main (line 88) | def main():
  function adjust_bn_momentum (line 186) | def adjust_bn_momentum(model, iters):
  function train (line 191) | def train(model, device, args, *, val_interval, bn_process=False, all_it...
  function validate (line 239) | def validate(model, device, args, *, all_iters=None):
  function load_checkpoint (line 271) | def load_checkpoint(net, checkpoint):

FILE: MetaACON/ShuffleNet_MetaACON/utils.py
  class CrossEntropyLabelSmooth (line 6) | class CrossEntropyLabelSmooth(nn.Module):
    method __init__ (line 8) | def __init__(self, num_classes, epsilon):
    method forward (line 14) | def forward(self, inputs, targets):
  class AvgrageMeter (line 22) | class AvgrageMeter(object):
    method __init__ (line 24) | def __init__(self):
    method reset (line 27) | def reset(self):
    method update (line 33) | def update(self, val, n=1):
  function accuracy (line 40) | def accuracy(output, target, topk=(1,)):
  function save_checkpoint (line 55) | def save_checkpoint(state, iters, tag=''):
  function get_lastest_model (line 61) | def get_lastest_model():
  function get_parameters (line 73) | def get_parameters(model):

FILE: TFNet/network.py
  class Acon_FReLU (line 4) | class Acon_FReLU(nn.Module):
    method __init__ (line 9) | def __init__(self, width, stride=1):
    method forward (line 22) | def forward(self, x, **kwargs):
  class TFBlock (line 33) | class TFBlock(nn.Module):
    method __init__ (line 34) | def __init__(self, inp, stride):
    method forward (line 52) | def forward(self, x):
  class TFNet (line 63) | class TFNet(nn.Module):
    method __init__ (line 64) | def __init__(self, n_class=1000, model_size=0.5):
    method forward (line 101) | def forward(self, x):
    method _initialize_weights (line 113) | def _initialize_weights(self):

FILE: TFNet/train.py
  class OpencvResize (line 18) | class OpencvResize(object):
    method __init__ (line 20) | def __init__(self, size=256):
    method __call__ (line 23) | def __call__(self, img):
  class ToBGRTensor (line 36) | class ToBGRTensor(object):
    method __call__ (line 38) | def __call__(self, img):
  class DataIterator (line 48) | class DataIterator(object):
    method __init__ (line 50) | def __init__(self, dataloader):
    method next (line 54) | def next(self):
  function get_args (line 62) | def get_args():
  function main (line 88) | def main():
  function adjust_bn_momentum (line 186) | def adjust_bn_momentum(model, iters):
  function train (line 191) | def train(model, device, args, *, val_interval, bn_process=False, all_it...
  function validate (line 239) | def validate(model, device, args, *, all_iters=None):
  function load_checkpoint (line 271) | def load_checkpoint(net, checkpoint):

FILE: TFNet/utils.py
  class CrossEntropyLabelSmooth (line 6) | class CrossEntropyLabelSmooth(nn.Module):
    method __init__ (line 8) | def __init__(self, num_classes, epsilon):
    method forward (line 14) | def forward(self, inputs, targets):
  class AvgrageMeter (line 22) | class AvgrageMeter(object):
    method __init__ (line 24) | def __init__(self):
    method reset (line 27) | def reset(self):
    method update (line 33) | def update(self, val, n=1):
  function accuracy (line 40) | def accuracy(output, target, topk=(1,)):
  function save_checkpoint (line 55) | def save_checkpoint(state, iters, tag=''):
  function get_lastest_model (line 61) | def get_lastest_model():
  function get_parameters (line 73) | def get_parameters(model):

FILE: acon.py
  class AconC (line 5) | class AconC(nn.Module):
    method __init__ (line 11) | def __init__(self, width):
    method forward (line 17) | def forward(self, x):
  class MetaAconC (line 21) | class MetaAconC(nn.Module):
    method __init__ (line 27) | def __init__(self, width, r=16):
    method forward (line 37) | def forward(self, x):