[GitHub] ustcfd opened a new issue #12863: Rewrite the GRUCell, Error:TypeError: forward() takes 3 positional arguments but 4 were given

[GitBox <gi...@apache.org>]

ustcfd opened a new issue #12863: Rewrite the GRUCell, Error:TypeError: forward() takes 3 positional arguments but 4 were given
URL: https://github.com/apache/incubator-mxnet/issues/12863
 
 
   In order to add some graph convolution operations to GRUCell, I have to rewrite the GRUCell of Mxnet.
   Technically, I should add a parameter of the input, i.e, adjacency matrix(adj). Unfortunately, I got the error “TypeError: forward() takes 3 positional arguments but 4 were given.”
   
   ```
   class mgcn_grucell(HybridRecurrentCell):
       def __init__(self, hidden_size,
                i2h_weight_initializer=None, h2h_weight_initializer=None,
                i2h_bias_initializer='zeros', h2h_bias_initializer='zeros',
                input_size=0, prefix=None, params=None):
       super(mgcn_grucell, self).__init__(prefix=prefix, params=params)
       //mgcn_cell and gru_cell differ only in the terms of that there is an added parameter adj in the rewritten function hybrid_forward（).
   
       def hybrid_forward(self, F, inputs, states,adj):
       //......
   
    class HybridRecurrentCell(RecurrentCell, HybridBlock):
             """HybridRecurrentCell supports hybridize."""
             def __init__(self, prefix=None, params=None):
            super(HybridRecurrentCell, self).__init__(prefix=prefix, params=params)
             def hybrid_forward(self, F, x, *args, **kwargs):
                 raise NotImplementedError
   
    class RecurrentCell(Block):
          //.......
          //forword added adj
          def forward(self, inputs, states,adj):
            self._counter += 1
            return super(RecurrentCell, self).forward(inputs, states,adj)
   ```
   Actually, HybridRecurrentCell inherits from RecurrentCell. It still doesn’t work when I add the adj to the forward() in RecurrentCell .
   So, how can I figure it out?
   

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