class_docstr: Use the hook `tfdbg.LocalCLIDebugHook` in tensorpack.
class_docstr_tok: ["Use","the","hook","`","tfdbg.LocalCLIDebugHook","`","in","tensorpack","."]
docstr: Args:
      args, kwargs: arguments to create `tfdbg.LocalCLIDebugHook`.
          Refer to tensorflow documentation for details.
docstr_tok: ["Args",":","args",",","kwargs",":","arguments","to","create","`","tfdbg.LocalCLIDebugHook","`",".","Refer","to","tensorflow","documentation","for","details","."]
code: def __init__(self, *args, **kwargs):
      """
      Args:
          args, kwargs: arguments to create `tfdbg.LocalCLIDebugHook`.
              Refer to tensorflow documentation for details.
      """
      from tensorflow.python import debug as tfdbg
  
      super(TFLocalCLIDebugHook, self).__init__(
          tfdbg.LocalCLIDebugHook(*args, **kwargs)
      )
  
imports: import tensorflow
  from ..compat import tfv1
  from ..utils.develop import HIDE_DOC
  from .base import Callback
label_desc: Use image node_id 1 to create a new TFLocalCLIDebugHook object from inherited base classes: HookToCallback with example: obj = TFLocalCLIDebugHook()