code: def Get_edges(
      adjs,
  ):
      edges = []
      edges_weights = []
      for adj in adjs:
          edges.append(adj[0])
          edges_weights.append(torch.sigmoid(adj[1]))
      return edges, edges_weights
  
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 2 for calling a global function with example usage: Get_edges(adjs) and returns: edges,  edges_weights