code: def dynamic_backend_converter(backend_stack):
      from ivy.functional.ivy.gradients import _variable
  
      def _is_var(obj, backend):
          if isinstance(obj, ivy.Container):
  
              def _map_fn(x):
                  x = x.data if isinstance(x, ivy.Array) else x
                  if x.__class__.__module__ in (
                      "numpy",
                      "jax.interpreters.xla",
                      "jaxlib.xla_extension",
                  ):
                      return False
  
                  return backend.gradients._is_variable(x)
  
              return obj.cont_map(
                  lambda x, kc: _map_fn(x)
              ).cont_all_true()
  
          else:
              obj = obj.data if isinstance(obj, ivy.Array) else obj
              if obj.__class__.__module__ in (
                  "numpy",
                  "jax.interpreters.xla",
                  "jaxlib.xla_extension",
              ):
                  return False
              return backend.gradients._is_variable(obj)
  
      # get all ivy array instances in the project scope
      container_list = [
          obj
          for obj in gc.get_objects()
          if "ivy" in type(obj).__module__
          and isinstance(obj, ivy.Container)
      ]
      cont_array_idxs = ivy.nested_argwhere(
          container_list,
          lambda x: isinstance(x, ivy.Array)
          and x.backend != ivy.current_backend_str(),
      )
      cont_array_vals = ivy.multi_index_nest(
          container_list, cont_array_idxs
      )
      array_list = [
          obj
          for obj in gc.get_objects()
          if "ivy" in type(obj).__module__
          and isinstance(obj, ivy.Array)
      ]
      array_list.extend(cont_array_vals)
  
      # filter uninitialized arrays and arrays with other backends, and ensure the order
      array_list = [
          arr
          for arr in array_list
          if arr.__dict__ and arr.backend != ivy.current_backend_str()
      ]
      new_objs = [obj for obj in array_list if obj.dynamic_backend]
  
      # now convert all ivy.Array and ivy.Container instances
      # to the new backend
  
      for obj in new_objs:
          # the following if condition avoids converting arrays that were already
          # updated inplace i.e. are references to other arrays
          if obj.backend != ivy.current_backend_str():
              backend = ivy.with_backend(obj.backend, cached=True)
              if _is_var(obj, backend):
                  native_var = backend.gradients._variable_data(obj)
                  data = _data_to_new_backend(native_var, backend)
                  new_data = _variable(data)
  
              else:
                  new_data = _data_to_new_backend(obj, backend)
  
              if isinstance(obj, ivy.Container):
                  obj.cont_inplace_update(new_data)
              else:
                  obj.data = new_data.data
  
imports: import os
  import copy
  import types
  import ivy
  import importlib
  import functools
  import numpy
  import gc
  from ivy.utils import _importlib, verbosity
  from ivy.func_wrapper import _wrap_function
  from ivy.utils.backend.sub_backend_handler import _clear_current_sub_backends, fn_name_from_version_specific_fn_name
  from ivy.utils.exceptions import _handle_inplace_mode
label_desc: Use image node_id 9 for calling a global function with example usage: dynamic_backend_converter(backend_stack) and returns: obj, backend, backend, False, False