code: def conv(self, pos, pos_skip, x):
      raise NotImplementedError
  
imports: import numpy
  import torch
  from torch.nn import Linear, ReLU, LeakyReLU, BatchNorm1d, Dropout
  from torch_geometric.nn import knn_interpolate, fps, radius, global_max_pool, global_mean_pool, knn
  from torch_geometric.data import Data
  import torch_points_kernels
  from torch_points3d.core.spatial_ops import BaseMSNeighbourFinder
  from torch_points3d.core.base_conv import BaseConvolution
  from torch_points3d.core.common_modules.dense_modules import MLP2D
  from torch_points3d.utils.enums import ConvolutionFormat
  from torch_points3d.utils.model_building_utils.activation_resolver import get_activation
label_desc: Use image node_id 2 for calling the BaseDenseConvolutionUp obj's underlying member method code with example usage: obj.conv(pos, pos_skip, x) without return types