code: def sg_inject(path, mod_name):
      r
      # import module
      import sys
      if path not in list(sys.path):
          sys.path.append(path)
      globals()[mod_name] = importlib.import_module(mod_name)
      # find functions
      for func_name in dir(globals()[mod_name]):
          if isinstance(globals()[mod_name].__dict__.get(func_name), types.FunctionType):
              if not func_name.startswith('_'):
                  # inject to tf.Variable type
                  exec('tf.Variable.%s = %s.%s' % (func_name, mod_name, func_name))
                  # inject to tf.Tensor type
                  exec('tf.Tensor.%s = %s.%s' % (func_name, mod_name, func_name))
docs: r"""Converts all functions in the given Python module to sugar functions
      so that they can be used in a chainable manner.
  
      Args:
        path: A string. Path to the Python module
        mod_name: A string. The name of the Python module to inject.
  
      Returns:
        None