class_docstr: Modified ResNet34 (without the last layer) feature extractor for regular 224x224 images.
  
  Args:
      weights (models.ResNet34_Weights or string): The pretrained weights to use. See
       https://pytorch.org/vision/stable/models/generated/torchvision.models.resnet34.html#torchvision.models.ResNet34_Weights
      for more details. By default, ResNet34_Weights.DEFAULT will be used.
code: def __init__(self, weights=models.ResNet34_Weights.DEFAULT):
      super(ResNet34Feature, self).__init__()
      self.model = models.resnet34(weights=weights)
      self._out_features = self.model.fc.in_features
      self.model.fc = Flatten()
  
imports: import torch.nn
  from torch.nn import functional
  from torchvision import models
label_desc: Use image node_id 1 to create a new ResNet34Feature object from inherited base classes: nn with example: obj = ResNet34Feature(weights)