class_docstr: LandmarkHead
  
  RetinaFace head for landmark branch.
  
      inchannels (`int`):
          number of input channels.
      num_anchors (`int`):
          number of anchors.
class_docstr_tok: ["LandmarkHead","RetinaFace","head","for","landmark","branch",".","inchannels","(","`","int","`",")",":","number","of","input","channels",".","num_anchors","(","`","int","`",")",":","number","of","anchors","."]
code: def forward(self, x: torch.FloatTensor):
      out = self.conv1x1(x)
      out = out.permute(0, 2, 3, 1).contiguous()
      return out.view(out.shape[0], -1, 10)
  
file_path: towhee/towhee/models/retina_face/heads.py
imports: import torch
  from torch import nn
label_desc: Use image node_id 2 for calling the LandmarkHead obj's underlying member method code with example usage: obj.forward(x) and returns: out