code: def apply(self, x, horizons, internals, deterministic, independent):
      x = self.layer2.apply(
          x=self.layer1.apply(x=next(iter(x.values())))
      )
      return x, dict()
  
file_path: tensorforce/test/test_specifications.py
imports: import unittest
  from tensorforce.core import tf_function
  from tensorforce.core.memories import Replay
  from tensorforce.core.networks import LayerbasedNetwork
  from test.unittest_base import UnittestBase
label_desc: Use image node_id 2 for calling the TestNetwork obj's underlying member method code with example usage: obj.apply(x, horizons, internals, deterministic, independent) and returns: x,  dict