class_docstr: A Tunable Task
  
  Parameters
  ----------
  name: str
      The name of the task.
  args: Tuple
      Positional argument of func
code: def __setstate__(self, state):
      import cloudpickle  # pylint: disable=import-outside-toplevel
  
      self.name = state["name"]
      self.args = state["args"]
      self.kwargs = state["kwargs"]
      self.config_space = state["config_space"]
      self.func = cloudpickle.loads(state["func"])
      self.flop = state["flop"]
      self.target, self.target_host = Target.canon_target_and_host(
          state["target"], state["target_host"]
      )
  
imports: import functools
  import numpy
  from tvm import runtime
  from tvm.ir import container
  from tvm.target import Target
  from tvm.te import placeholder, tensor
  from tvm.tir import expr
  from ..utils import get_const_int, get_const_tuple
  from .dispatcher import ApplyConfig, DispatchContext
  from .space import ConfigSpace
label_desc: Use image node_id 5 for calling the Task obj's underlying member method code with example usage: obj.__setstate__(state) without return types