code: def hybrid_forward(self, F, x):
      y = []
      x = self.base_layer(x)
      for i in range(6):
          x = getattr(self, "level{}".format(i))(x)
          if self._use_feature:
              y.append(x)
          else:
              y.append(F.flatten(self.global_avg_pool(x)))
      if self._use_feature:
          return y
      flat = F.concat(*y, dim=1)
      out = self.fc(flat)
      return out
  
imports: from __future__ import division
  import os
  import mxnet
  from mxnet.gluon.block import HybridBlock
  from mxnet.gluon import nn
  from mxnet.gluon.nn import BatchNorm
label_desc: Use image node_id 4 for calling the DLA obj's underlying member method code with example usage: obj.hybrid_forward(F, x) and returns: out, y