code: def __init__(self, in_c, out_c):
      super(MixedOp, self).__init__()
      self._ops = nn.ModuleList()
      for action in gnn_list:
          self._ops.append(gnn_map(action, in_c, out_c))
  
imports: import typing
  from .None import register_nas_space
  from .base import apply_fixed_architecture
  from .base import BaseSpace
  from ...model import BaseAutoModel
  from ....utils import get_logger
  from ..backend import *
  from ..utils import count_parameters, measure_latency
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn import Module
  from .gasso_space import *
  from torch.autograd import Variable
  from collections import namedtuple
label_desc: Use image node_id 1 to create a new MixedOp object from inherited base classes: nn with example: obj = MixedOp(in_c, out_c)