code: def forward(self, x, out_feat_keys=None):
      feat = x
      out_feats = get_trunk_forward_outputs_module_list(
          feat,
          out_feat_keys,
          self._feature_blocks,
          self.all_feat_names,
          use_checkpointing=False,
      )
      return out_feats
  
file_path: vissl/vissl/models/trunks/alexnet_bvlc.py
imports: import torch.nn
  from vissl.config import AttrDict
  from vissl.models.model_helpers import Flatten, get_trunk_forward_outputs_module_list
  from vissl.models.trunks import register_model_trunk
label_desc: Use image node_id 2 for calling the AlexNetBvlc obj's underlying member method code with example usage: obj.forward(x, out_feat_keys) and returns: out_feats