code: def __init__(self, channels, same_layer, device=None):
      if same_layer:
          linear = ivy.Linear(channels, channels, device=device)
          self._linear0 = linear
          self._linear1 = linear
      else:
          w = _variable(ivy.ones((channels, channels)))
          b0 = _variable(ivy.ones((channels,)))
          b1 = _variable(ivy.ones((channels,)))
          v0 = ivy.Container({"w": w, "b": b0})
          v1 = ivy.Container({"w": w, "b": b1})
          self._linear0 = ivy.Linear(
              channels, channels, device=device, v=v0
          )
          self._linear1 = ivy.Linear(
              channels, channels, device=device, v=v1
          )
      ivy.Module.__init__(self)
  
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 1 to create a new TrainableModuleWithDuplicate object from inherited base classes: ivy with example: obj = TrainableModuleWithDuplicate(channels, same_layer, device)