class_docstr: Abstract base class for convolutional RNNs
class_docstr_tok: ["Abstract","base","class","for","convolutional","RNNs"]
code: def forward(self, inputs, states):
      raise NotImplementedError(
          "_BaseConvRNNCell is abstract class for convolutional RNN"
      )
  
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 7 for calling the _BaseConvRNNCell obj's underlying member method code with example usage: obj.forward(inputs, states) without return types