code: def use_dynamic_dispatch(cls):
      # Define class methods and attributes that dynamically dispatch to the backend
      for name in cls._functions:
          try:
              delattr(cls, name)
          except AttributeError:
              pass
          setattr(
              cls,
              name,
              staticmethod(
                  cls.dispatch_backend_method(
                      name, getattr(cls.current_backend(), name)
                  )
              ),
          )
      for name in cls._attributes:
          try:
              delattr(cls, name)
          except AttributeError:
              pass
          setattr(
              cls, name, dynamically_dispatched_class_attribute(name)
          )
  
file_path: tensorly/tensorly/tenalg/__init__.py
imports: import sys
  import importlib
  import threading
  from ..backend import BackendManager, dynamically_dispatched_class_attribute
  from .base_tenalg import TenalgBackend
  from .svd import SVD_FUNS, svd_interface, truncated_svd
label_desc: Use image node_id 1 for calling the TenalgBackendManager obj's underlying member method code with example usage: obj.use_dynamic_dispatch(cls) without return types