parameters: (self,
                 debug_ops=None,
                 node_name_regex_whitelist=None,
                 op_type_regex_whitelist=None,
                 tensor_dtype_regex_whitelist=None,
                 tolerate_debug_op_creation_failures=False)
docstring: Constructor of WatchOptions: Debug watch options.
  
      Used as return values of `watch_fn`s.
  
      Args:
        debug_ops: (`str` or `list of str`) Debug ops to be used.
        node_name_regex_whitelist: Regular-expression whitelist for node_name,
          e.g., `"(weight_[0-9]+|bias_.*)"`
        op_type_regex_whitelist: Regular-expression whitelist for the op type of
          nodes, e.g., `"(Variable|Add)"`.
          If both `node_name_regex_whitelist` and `op_type_regex_whitelist`
          are set, the two filtering operations will occur in a logical `AND`
          relation. In other words, a node will be included if and only if it
          hits both whitelists.
        tensor_dtype_regex_whitelist: Regular-expression whitelist for Tensor
          data type, e.g., `"^int.*"`.
          This whitelist operates in logical `AND` relations to the two whitelists
          above.
        tolerate_debug_op_creation_failures: (`bool`) whether debug op creation
          failures (e.g., due to dtype incompatibility) are to be tolerated by not
          throwing exceptions.
docstring_summary: Constructor of WatchOptions: Debug watch options.
docstring_tokens: Constructor of WatchOptions : Debug watch options .
function: def __init__(self,
                 debug_ops=None,
                 node_name_regex_whitelist=None,
                 op_type_regex_whitelist=None,
                 tensor_dtype_regex_whitelist=None,
                 tolerate_debug_op_creation_failures=False):
      """Constructor of WatchOptions: Debug watch options.
  
      Used as return values of `watch_fn`s.
  
      Args:
        debug_ops: (`str` or `list of str`) Debug ops to be used.
        node_name_regex_whitelist: Regular-expression whitelist for node_name,
          e.g., `"(weight_[0-9]+|bias_.*)"`
        op_type_regex_whitelist: Regular-expression whitelist for the op type of
          nodes, e.g., `"(Variable|Add)"`.
          If both `node_name_regex_whitelist` and `op_type_regex_whitelist`
          are set, the two filtering operations will occur in a logical `AND`
          relation. In other words, a node will be included if and only if it
          hits both whitelists.
        tensor_dtype_regex_whitelist: Regular-expression whitelist for Tensor
          data type, e.g., `"^int.*"`.
          This whitelist operates in logical `AND` relations to the two whitelists
          above.
        tolerate_debug_op_creation_failures: (`bool`) whether debug op creation
          failures (e.g., due to dtype incompatibility) are to be tolerated by not
          throwing exceptions.
      """
      if debug_ops:
        self.debug_ops = debug_ops
      else:
        self.debug_ops = ["DebugIdentity"]
      self.node_name_regex_whitelist = node_name_regex_whitelist
      self.op_type_regex_whitelist = op_type_regex_whitelist
      self.tensor_dtype_regex_whitelist = tensor_dtype_regex_whitelist
      self.tolerate_debug_op_creation_failures = (
          tolerate_debug_op_creation_failures)
function_tokens: def __init__ ( self , debug_ops = None , node_name_regex_whitelist = None , op_type_regex_whitelist = None , tensor_dtype_regex_whitelist = None , tolerate_debug_op_creation_failures = False ) : if debug_ops : self . debug_ops = debug_ops else : self . debug_ops = [ "DebugIdentity" ] self . node_name_regex_whitelist = node_name_regex_whitelist self . op_type_regex_whitelist = op_type_regex_whitelist self . tensor_dtype_regex_whitelist = tensor_dtype_regex_whitelist self . tolerate_debug_op_creation_failures = ( tolerate_debug_op_creation_failures )