class_docstr: HighResolutionNet feature extraction
  
  The design of HRNet makes it easy to grab feature maps, this class provides a simple wrapper to do so.
  It would be more complicated to use the FeatureNet helpers.
  
  The `feature_location=incre` allows grabbing increased channel count features using part of the
  classification head. If `feature_location=''` the default HRNet features are returned. First stem
  conv is used for stride 2 features.
class_docstr_tok: ["HighResolutionNet","feature","extraction","The","design","of","HRNet","makes","it","easy","to","grab","feature","maps",",","this","class","provides","a","simple","wrapper","to","do","so",".","It","would","be","more","complicated","to","use","the","FeatureNet","helpers",".","The","`","feature_location=incre","`","allows","grabbing","increased","channel","count","features","using","part","of","the","classification","head",".","If","`","feature_location=","''","`","the","default","HRNet","features","are","returned",".","First","stem","conv","is","used","for","stride","2","features","."]
code: def forward(self, x) -> List[torch.tensor]:
      out = []
      x = self.conv1(x)
      x = self.bn1(x)
      x = self.act1(x)
      if 0 in self._out_idx:
          out.append(x)
      x = self.conv2(x)
      x = self.bn2(x)
      x = self.act2(x)
      x = self.stages(x)
      if self.incre_modules is not None:
          x = [incre(f) for f, incre in zip(x, self.incre_modules)]
      for i, f in enumerate(x):
          if i + 1 in self._out_idx:
              out.append(f)
      return out
  
imports: import logging
  from typing import List
  import torch
  import torch.nn
  import torch.nn.functional
  from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
  from timm.layers import create_classifier
  from ._builder import build_model_with_cfg, pretrained_cfg_for_features
  from ._features import FeatureInfo
  from ._registry import register_model, generate_default_cfgs
  from .resnet import BasicBlock, Bottleneck
label_desc: Use image node_id 3 for calling the HighResolutionNetFeatures obj's underlying member method code with example usage: obj.forward(x) and returns: out