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: Forbid setting hpo tensorflow variable directly.         Should use enable_hpo_tf() instead.
docstr_tok: ["Forbid","setting","hpo","tensorflow","variable","directly",".","Should","use","enable_hpo_tf","(",")","instead","."]
code: def hpo_tf(self, value):
      """Forbid setting hpo tensorflow variable directly. \
          Should use enable_hpo_tf() instead."""
      invalidInputError(
          False,
          "Directly set hpo_tf value is not permitted."
          "Please use enable_hpo_tf() or disable_hpo_tf() to "
          "enable/disable tensorflow hpo. ",
      )
  
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 8 for calling the HPOConfig obj's underlying member method code with example usage: obj.hpo_tf(value) without return types