code: def inception_block_5(
      input, num1x1, num3x3, num3x3_3x3, numPool, bnTimeConst
  ):
      # 1x1 Convolution
      branch1x1 = conv_bn_relu_layer(
          input, num1x1, (1, 1), (1, 1), True, bnTimeConst
      )
  
      # 3x3 Convolution
      branch3x3_1 = conv_bn_relu_layer(
          input, num3x3[0], (1, 1), (1, 1), True, bnTimeConst
      )
      branch3x3_2 = conv_bn_relu_layer(
          branch3x3_1, num3x3[1], (1, 3), (1, 1), True, bnTimeConst
      )
      branch3x3_3 = conv_bn_relu_layer(
          branch3x3_1, num3x3[2], (3, 1), (1, 1), True, bnTimeConst
      )
      branch3x3 = splice(branch3x3_2, branch3x3_3, axis=0)
  
      # 3x3 3x3 Convolution
      branch3x3_3x3_1 = conv_bn_relu_layer(
          input, num3x3_3x3[0], (1, 1), (1, 1), True, bnTimeConst
      )
      branch3x3_3x3_2 = conv_bn_relu_layer(
          branch3x3_3x3_1,
          num3x3_3x3[1],
          (3, 3),
          (1, 1),
          True,
          bnTimeConst,
      )
      branch3x3_3x3_3 = conv_bn_relu_layer(
          branch3x3_3x3_2,
          num3x3_3x3[1],
          (1, 3),
          (1, 1),
          True,
          bnTimeConst,
      )
      branch3x3_3x3_4 = conv_bn_relu_layer(
          branch3x3_3x3_2,
          num3x3_3x3[3],
          (3, 1),
          (1, 1),
          True,
          bnTimeConst,
      )
      branch3x3_3x3 = splice(branch3x3_3x3_3, branch3x3_3x3_4, axis=0)
  
      # Average Pooling
      branchPool_avgpool = AveragePooling(
          (3, 3), strides=(1, 1), pad=True
      )(input)
      branchPool = conv_bn_relu_layer(
          branchPool_avgpool, numPool, (1, 1), (1, 1), True, bnTimeConst
      )
  
      out = splice(
          branch1x1, branch3x3, branch3x3_3x3, branchPool, axis=0
      )
  
      return out
  
file_path: CNTK/Examples/Image/Classification/GoogLeNet/InceptionV3/Python/InceptionV3.py
imports: from cntk.initializer import he_normal
  from cntk.layers import AveragePooling, MaxPooling, BatchNormalization, Convolution, Dense, Dropout
  from cntk.ops import minus, element_times, relu, splice
label_desc: Use image node_id 6 for calling a global function with example usage: inception_block_5(input, num1x1, num3x3, num3x3_3x3, numPool, bnTimeConst) and returns: out