code: def forward(self, inputs, states):
      i2h, h2h = self._conv_forward(inputs, states)
      output = self._get_activation(i2h + h2h, self._activation)
      return output, [output]
  
imports: from math import floor
  from ...base import numeric_types
  from .rnn_cell import HybridRecurrentCell
  from ..parameter import Parameter
  from ...None import np, npx
  from ...util import use_np
label_desc: Use image node_id 5 for calling the _ConvRNNCell obj's underlying member method code with example usage: obj.forward(inputs, states) and returns: output,  list