code: def hybrid_forward(self, F, x_conv0, x_stem_0):
      x_left = self.conv_1x1(x_stem_0)
  
      x_relu = F.Activation(x_conv0, act_type="relu")
      x_path1 = self.path_1(x_relu)
      x_path2 = F.pad(
          x_relu,
          pad_width=(0, 0, 0, 0, 0, 1, 0, 1),
          mode="constant",
          constant_value=0,
      )
      x_path2 = F.slice(
          x_path2, begin=(0, 0, 1, 1), end=(None, None, None, None)
      )
      x_path2 = self.path_2(x_path2)
      x_right = self.final_path_bn(F.concat(x_path1, x_path2, dim=1))
  
      x_comb_iter_0_left = self.comb_iter_0_left(x_left)
      x_comb_iter_0_right = self.comb_iter_0_right(x_right)
      x_comb_iter_0 = x_comb_iter_0_left + x_comb_iter_0_right
  
      x_comb_iter_1_left = self.comb_iter_1_left(x_left)
      x_comb_iter_1_right = self.comb_iter_1_right(x_right)
      x_comb_iter_1 = x_comb_iter_1_left + x_comb_iter_1_right
  
      x_comb_iter_2_left = self.comb_iter_2_left(x_left)
      x_comb_iter_2_right = self.comb_iter_2_right(x_right)
      x_comb_iter_2 = x_comb_iter_2_left + x_comb_iter_2_right
  
      x_comb_iter_3_right = self.comb_iter_3_right(x_comb_iter_0)
      x_comb_iter_3 = x_comb_iter_3_right + x_comb_iter_1
  
      x_comb_iter_4_left = self.comb_iter_4_left(x_comb_iter_0)
      x_comb_iter_4_right = self.comb_iter_4_right(x_left)
      x_comb_iter_4 = x_comb_iter_4_left + x_comb_iter_4_right
  
      x_out = F.concat(
          x_comb_iter_1,
          x_comb_iter_2,
          x_comb_iter_3,
          x_comb_iter_4,
          dim=1,
      )
  
      return x_out
  
imports: from __future__ import division
  import os
  from mxnet import cpu
  from mxnet.gluon import nn
  from mxnet.gluon.nn import BatchNorm
  from mxnet.gluon.block import HybridBlock
label_desc: Use image node_id 2 for calling the CellStem1 obj's underlying member method code with example usage: obj.hybrid_forward(F, x_conv0, x_stem_0) and returns: x_out