code: def inception_block_3(
      input, num1x1, num7x7, num7x7dbl, numPool, bnTimeConst
  ):
      # 1x1 Convolution
      branch1x1 = conv_bn_relu_layer(
          input, num1x1, (1, 1), (1, 1), True, bnTimeConst
      )
  
      # 7x7 Convolution
      branch7x7_1 = conv_bn_relu_layer(
          input, num7x7[0], (1, 1), (1, 1), True, bnTimeConst
      )
      branch7x7_2 = conv_bn_relu_layer(
          branch7x7_1, num7x7[1], (1, 7), (1, 1), True, bnTimeConst
      )
      branch7x7 = conv_bn_relu_layer(
          branch7x7_2, num7x7[2], (7, 1), (1, 1), True, bnTimeConst
      )
  
      # Double 7x7 Convolution
      branch7x7dbl_1 = conv_bn_relu_layer(
          input, num7x7dbl[0], (1, 1), (1, 1), True, bnTimeConst
      )
      branch7x7dbl_2 = conv_bn_relu_layer(
          branch7x7dbl_1,
          num7x7dbl[1],
          (7, 1),
          (1, 1),
          True,
          bnTimeConst,
      )
      branch7x7dbl_3 = conv_bn_relu_layer(
          branch7x7dbl_2,
          num7x7dbl[2],
          (1, 7),
          (1, 1),
          True,
          bnTimeConst,
      )
      branch7x7dbl_4 = conv_bn_relu_layer(
          branch7x7dbl_3,
          num7x7dbl[3],
          (7, 1),
          (1, 1),
          True,
          bnTimeConst,
      )
      branch7x7dbl = conv_bn_relu_layer(
          branch7x7dbl_4,
          num7x7dbl[4],
          (1, 7),
          (1, 1),
          True,
          bnTimeConst,
      )
  
      # 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, branch7x7, branch7x7dbl, 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 4 for calling a global function with example usage: inception_block_3(input, num1x1, num7x7, num7x7dbl, numPool, bnTimeConst) and returns: out