code: def bn_inception_cifar_model(input, labelDim, bnTimeConst):
      # 32 x 32 x 3
      conv1a = conv_bn_relu_layer(
          input, 32, (3, 3), (1, 1), True, bnTimeConst
      )
      # 32 x 32 x 32
      conv1b = conv_bn_relu_layer(
          conv1a, 32, (3, 3), (1, 1), True, bnTimeConst
      )
      # 32 x 32 x 32
      conv1c = conv_bn_relu_layer(
          conv1b, 32, (3, 3), (1, 1), True, bnTimeConst
      )
      # 32 x 32 x 32
      conv2a = conv_bn_relu_layer(
          conv1c, 32, (1, 1), (1, 1), True, bnTimeConst
      )
      # 32 x 32 x 32
      conv2b = conv_bn_relu_layer(
          conv2a, 64, (3, 3), (1, 1), True, bnTimeConst
      )
  
      # Inception Blocks
      # 32 x 32 x 64
      inception3a = inception_block_with_avgpool(
          conv2b, 32, 32, 32, 32, 48, 16, bnTimeConst
      )
      # 32 x 32 x 128
      inception3b = inception_block_pass_through(
          inception3a, 0, 64, 80, 32, 48, 0, bnTimeConst
      )
      # 16 x 16 x 256
      inception4a = inception_block_with_avgpool(
          inception3b, 96, 48, 64, 48, 64, 64, bnTimeConst
      )
      # 16 x 16 x 288
      inception4b = inception_block_with_avgpool(
          inception4a, 48, 64, 96, 80, 96, 64, bnTimeConst
      )
      # 16 x 16 x 288
      inception4c = inception_block_pass_through(
          inception4b, 0, 128, 192, 192, 256, 0, bnTimeConst
      )
      # 8 x 8 x 512
      inception5a = inception_block_with_maxpool(
          inception4c, 176, 96, 160, 96, 112, 64, bnTimeConst
      )
  
      # Global Average
      # 8 x 8 x 512
      pool1 = AveragePooling(filter_shape=(8, 8))(inception5a)
      # 1 x 1 x 512
      z = Dense(labelDim, init=he_normal())(pool1)
  
      return z
  
file_path: CNTK/Examples/Image/Classification/GoogLeNet/BN-Inception/Python/BN_Inception.py
imports: from cntk.initializer import he_normal
  from cntk.layers import AveragePooling, MaxPooling, BatchNormalization, Convolution, Dense
  from cntk.ops import element_times, relu, splice
label_desc: Use image node_id 6 for calling a global function with example usage: bn_inception_cifar_model(input, labelDim, bnTimeConst) and returns: z