class_docstr: Container for variables and flags shared across TraceType generation.
docstr: If the value is from a legacy signature representation.
  
  Legacy signature representations include tf.function.input_signature and
  ConcreteFunction.structured_input_signature.
docstr_tok: ["If","the","value","is","from","a","legacy","signature","representation",".","Legacy","signature","representations","include","tf.function.input_signature","and","ConcreteFunction.structured_input_signature","."]
code: def is_legacy_signature(self) -> bool:
      """If the value is from a legacy signature representation.
  
      Legacy signature representations include tf.function.input_signature and
      ConcreteFunction.structured_input_signature.
      """
      return self._is_legacy_signature
  
imports: import collections.abc
  from typing import Any, Dict, Hashable, Optional
  import weakref
  from tensorflow.core.function.trace_type import custom_nest_trace_type
  from tensorflow.core.function.trace_type import default_types
  from tensorflow.core.function.trace_type import util
  from tensorflow.python.types import trace
  from tensorflow.python.util import custom_nest_protocol
label_desc: Use image node_id 5 for calling the InternalTracingContext obj's underlying member method code with example usage: obj.is_legacy_signature() and returns: self