class_docstr: [This class handles the special mechanism between the msg
  and the features of RSConv]
class_docstr_tok: ["[","This","class","handles","the","special","mechanism","between","the","msg","and","the","features","of","RSConv","]"]
code: def f_out(self):
      return self._f_out
  
imports: import logging
  import torch
  from torch.nn import Sequential
  import torch.nn
  import torch.nn.functional
  from torch.nn import Conv1d
  import torch_points_kernels
  from torch_points3d.core.base_conv.dense import *
  from torch_points3d.core.common_modules.dense_modules import MLP2D
  from torch_points3d.core.spatial_ops import DenseFPSSampler, DenseRadiusNeighbourFinder
  from torch_points3d.utils.colors import COLORS
label_desc: Use image node_id 2 for calling the RSConvMapper obj's underlying member method code with example usage: obj.f_out() and returns: self