class_docstr: `ConcreteProxy` is a wrapped proxy carried the real intermediate value.
  We can use it to trace a more compatible model, and pass the branches.
class_docstr_tok: ["`","ConcreteProxy","`","is","a","wrapped","proxy","carried","the","real","intermediate","value",".","We","can","use","it","to","trace","a","more","compatible","model",",","and","pass","the","branches","."]
code: def __bool__(self) -> Union[bool, ConcreteProxy]:
      # to detect if in executing branch condition
      frame = inspect.currentframe()
      assert frame is not None
      calling_frame = frame.f_back
      assert calling_frame is not None
      cur = calling_frame.f_lasti // 2
      insts: List[dis.Instruction] = _orig_list(
          dis.get_instructions(calling_frame.f_code)
      )
      while insts[cur].opcode == self.op_extended_arg:
          cur += 1
  
      if insts[cur].opcode in self.jump_opcodes or (
          insts[cur].opcode in self.jump_before_opcodes
          and insts[cur + 1].opcode in self.jump_opcodes
      ):
          # in executing branch condition
          return _orig_bool(self.value)
      elif insts[cur].opname == "CONTAINS_OP":
          # in executing 'in'
          return _orig_bool(self.value)
      elif insts[cur].opcode == self.op_call_ex:
          # in executing func(..., *proxy)
          return _orig_bool(self.value)
      elif insts[cur].opcode == self.op_not:
          # We cannot return a proxy because 'UNARY_NOT' op will check the type.
          _logger.warning(
              'please use the function patcher, or use "x = operator.not_(y)" instead of "x = not y",'
              "otherwise the traced graph may be wrong"
          )
          return _orig_bool(self.value)
      else:
          return self.tracer.create_proxy(
              "call_function", _orig_bool, (self,), {}
          )
  
imports: from __future__ import annotations
  import dis
  import logging
  import inspect
  import operator
  from typing import List, Optional, Iterable, Any, Set, Union
  import torch
  from torch.fx._compatibility import compatibility
  from torch.fx.graph import magic_methods, reflectable_magic_methods
  from torch.fx.node import Node
  from torch.fx.proxy import Proxy
  from torch.overrides import is_tensor_method_or_property
  from .None import concrete_tracer
  from .utils import _orig_tuple, _orig_list, _orig_type, _orig_isinstance, _orig_getattr, _orig_range, _orig_dict, _orig_len, _orig_index, _orig_bool, _orig_slice, _orig_set, map_recursive
label_desc: Use image node_id 10 for calling the ConcreteProxy obj's underlying member method code with example usage: obj.__bool__() and returns: _orig_bool, _orig_bool, _orig_bool, _orig_bool, self