code: def load_tf_block35(weights, layer):
      load_tf_basicConv2d(weights[:4], layer.branch0)
      load_tf_basicConv2d(weights[4:8], layer.branch1[0])
      load_tf_basicConv2d(weights[8:12], layer.branch1[1])
      load_tf_basicConv2d(weights[12:16], layer.branch2[0])
      load_tf_basicConv2d(weights[16:20], layer.branch2[1])
      load_tf_basicConv2d(weights[20:24], layer.branch2[2])
      load_tf_conv2d(weights[24:26], layer.conv2d)
  
imports: import tensorflow
  import torch
  import json
  import os, sys
  from dependencies.facenet.src import facenet
  from dependencies.facenet.src.models import inception_resnet_v1
  from dependencies.facenet.src.align import detect_face
  from models.inception_resnet_v1 import InceptionResnetV1
  from models.mtcnn import PNet, RNet, ONet
label_desc: Use image node_id 8 for calling a global function with example usage: load_tf_block35(weights, layer) without return types