code: def _forward(self, x):
      x = ivy.expand_dims(x, axis=0)
      x = ivy.tanh(self._layers["linear0"](x))
      x = ivy.tanh(self._layers["linear1"](x))
      return ivy.tanh(self._layers["linear2"](x))[0]
  
imports: import os
  from hypothesis import given, strategies
  import numpy
  import ivy
  from ivy.functional.ivy.gradients import _variable
  import ivy_tests.test_ivy.helpers
label_desc: Use image node_id 2 for calling the TrainableModuleWithDict obj's underlying member method code with example usage: obj._forward(x) and returns: ivy