def LoadParams(self, proto, **kwargs):
    """Load the parameters for this edge.

    Load the parameters if present in self.proto. Otherwise initialize them
    appropriately.
    """
    node1 = self.node1
    node2 = self.node2
    self.hyperparams = proto.hyperparams
    param_names = [param.name for param in proto.param]
    for param in proto.param:
      if param.conv or param.local:
        n_locs = self.AllocateMemoryForConvolutions(param, node1, node2)
      if not param.dimensions:
        if param.conv:
          cv = param.conv_params
          dims = [cv.num_filters, cv.size**2 * cv.num_colors]
        elif param.local:
          dims = [cv.num_filters, n_locs**2 * cv.size**2 * cv.num_colors]
        else:
          dims = [node1.numlabels * node1.dimensions,
                  node2.numlabels * node2.dimensions]
        param.dimensions.extend(dims)
    super(Edge, self).LoadParams(proto, **kwargs)
Load the parameters for this edge.

    Load the parameters if present in self.proto. Otherwise initialize them
    appropriately.
    
deepnet/edge.py