class_docstr: Encoder Decoder depther.
  
  EncoderDecoder typically consists of backbone and decode_head.
class_docstr_tok: ["Encoder","Decoder","depther",".","EncoderDecoder","typically","consists","of","backbone","and","decode_head","."]
docstr: Run forward function and calculate loss for decode head in
  inference.
docstr_tok: ["Run","forward","function","and","calculate","loss","for","decode","head","in","inference","."]
code: def _decode_head_forward_test(self, x, img_metas):
      """Run forward function and calculate loss for decode head in
      inference."""
      depth_pred = self.decode_head.forward_test(x, img_metas)
      return depth_pred
  
imports: from collections import OrderedDict
  import torch
  import torch.nn
  import torch.nn.functional
  from .ops import resize
label_desc: Use image node_id 5 for calling the DepthEncoderDecoder obj's underlying member method code with example usage: obj._decode_head_forward_test(x, img_metas) and returns: depth_pred