class_docstr: A global configuration object for HPO.
  
  To access the hpo config, use "bigdl.nano.automl.hpo_config".
  E.g., to enable hpo tf, use "bigd.nano.automl.hpo_config.enable_hpo_tf()"
class_docstr_tok: ["A","global","configuration","object","for","HPO",".","To","access","the","hpo","config",",","use","``","bigdl.nano.automl.hpo_config","''",".","E.g.",",","to","enable","hpo","tf",",","use","``","bigd.nano.automl.hpo_config.enable_hpo_tf","(",")","''"]
docstr: Enable HPO for tensorflow.
docstr_tok: ["Enable","HPO","for","tensorflow","."]
code: def enable_hpo_tf(self):
      """Enable HPO for tensorflow."""
      if self.hpo_tf:
          return
      self.hpo_tf_ = True if self.tf_available else False
      if self.hpo_tf:
          self._reload_modules()
          self._add_decorated_nano_tf_modules()
  
file_path: BigDL/python/nano/src/bigdl/nano/automl/hpo/config.py
imports: import importlib
  from bigdl.nano.automl.utils.register_modules import COMPONENT_TYPE, register_module, register_module_simple, clean_modules_simple
  from bigdl.nano.utils.common import invalidInputError
label_desc: Use image node_id 2 for calling the HPOConfig obj's underlying member method code with example usage: obj.enable_hpo_tf() without return types