code: def forward(self, x):
      x = self.pool1(mx.np.tanh(self.conv1(x)))
      x = self.pool2(mx.np.tanh(self.conv2(x)))
      # 0 means copy over size from corresponding dimension.
      # -1 means infer size from the rest of dimensions.
      x = x.reshape(-1)
      x = mx.np.tanh(self.fc1(x))
      x = mx.np.tanh(self.fc2(x))
      return x
  
imports: import boto3
  import mxnet
  import os
  import numpy
  import logging
  from mxnet import gluon
  from mxnet.gluon import nn
  import re
  from mxnet.test_utils import assert_almost_equal
label_desc: Use image node_id 2 for calling the HybridNet obj's underlying member method code with example usage: obj.forward(x) and returns: x