code: def resnet_conv5(image, num_block):
      with backbone_scope(freeze=False):
          l = resnet_group(
              "group3", image, resnet_bottleneck, 512, num_block, 2
          )
          return l
  
imports: import numpy
  import tensorflow
  from contextlib import ExitStack, contextmanager
  from tensorpack import tfv1
  from tensorpack.models import BatchNorm, Conv2D, MaxPooling, layer_register
  from tensorpack.tfutils import argscope
  from tensorpack.tfutils.scope_utils import auto_reuse_variable_scope
  from tensorpack.tfutils.varreplace import custom_getter_scope, freeze_variables
  from config import config
label_desc: Use image node_id 11 for calling a global function with example usage: resnet_conv5(image, num_block) and returns: l