class_docstr: Combination of two networks
class_docstr_tok: ["Combination","of","two","networks"]
code: def load_from_two(self, m1fn, m2fn):
      self.model.load(
          m1fn, scope_for_restore="scope1", weights_only=True
      )
      self.model.load(
          m2fn,
          scope_for_restore="scope2",
          weights_only=True,
          create_new_session=False,
      )
  
imports: from __future__ import division, print_function, absolute_import
  import re
  import tflearn
  import tensorflow.compat.v1
  import tflearn.datasets.mnist
  from tflearn.layers.core import input_data, dropout, fully_connected
  from tflearn.layers.conv import conv_2d, max_pool_2d
  from tflearn.layers.normalization import local_response_normalization
  from tflearn.layers.estimator import regression
label_desc: Use image node_id 2 for calling the Model12 obj's underlying member method code with example usage: obj.load_from_two(m1fn, m2fn) without return types