class_docstr: Modified ResNet101 (without the last layer) feature extractor for regular 224x224 images.
  
  Args:
      weights (models.ResNet101_Weights or string): The pretrained weights to use. See
       https://pytorch.org/vision/stable/models/generated/torchvision.models.resnet101.html#torchvision.models.ResNet101_Weights
      for more details. By default, ResNet101_Weights.DEFAULT will be used.
code: def forward(self, x):
      return self.model(x)
  
imports: import torch.nn
  from torch.nn import functional
  from torchvision import models
label_desc: Use image node_id 2 for calling the ResNet101Feature obj's underlying member method code with example usage: obj.forward(x) and returns: self