code: def load_tf_basicConv2d(weights, layer):
      """Load tensorflow weights into grouped Conv2d+BatchNorm object.
  
      Arguments:
          weights {list} -- Tensorflow parameters.
          layer {torch.nn.Module} -- Object containing Conv2d+BatchNorm.
      """
      load_tf_conv2d(weights[0], layer.conv)
      load_tf_batchNorm(weights[1:], layer.bn)
  
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 6 for calling a global function with example usage: load_tf_basicConv2d(weights, layer) without return types