jmacglashan commented on issue #9822: gluon HybridBlock wrapper of constant nd.array, is it possible? URL: https://github.com/apache/incubator-mxnet/issues/9822#issuecomment-372761565 @feevos I haven't tried your code yet, but I think the issue is that your `hybrid_forward` does not have **kwargs nor an argument named the same as the parameter. Mxnet hybrid blocks will push parameters as inputs to the hybrid forward method (I believe because this is how it resolves passing them in as variable symbols when it compiles a graph). So you should add that argument and get the "constant" parameter from the function arguments. For example, consider the `hybrid_forward` definition of the `Dense` block in Mxnet: ``` def hybrid_forward(self, F, x, weight, bias=None): if bias is None: act = F.FullyConnected(x, weight, no_bias=True, num_hidden=self._units, name='fwd') else: act = F.FullyConnected(x, weight, bias, num_hidden=self._units, name='fwd') if self.act is not None: act = self.act(act) return act ``` Note that the method receives `weight` and `bias` as arguments. These are are defined as parameters inside the Block's ParameterDict and the forward operation of the HybridBlock will automatically push all parameters to `hybrid_forward`. So you should change your code to be: ``` def hybrid_forward(self,F,_x, Bijkl): ``` And then you don't need to pull it from the parameter dict in the hybrid forward, just use the arg.
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