code: def __init__(self, start=0.0, stop=5.0, num_gaussians=50):
      super(emb, self).__init__()
      offset = torch.linspace(start, stop, num_gaussians)
      self.coeff = -0.5 / (offset[1] - offset[0]).item() ** 2
      self.register_buffer("offset", offset)
  
imports: from math import pi
  import torch
  import torch.nn.functional
  from torch.nn import Embedding, Sequential, Linear
  from torch_scatter import scatter
  from torch_geometric.nn import radius_graph
label_desc: Use image node_id 1 to create a new emb object from inherited base classes: torch.nn with example: obj = emb(start, stop, num_gaussians)