class_docstr: MergeSum for MKL backend
  Initialize primitive
class_docstr_tok: ["MergeSum","for","MKL","backend","Initialize","primitive"]
code: def __init__(self, layer_num):
      # declare forward sum, backward sum and temperary tensors used in sum
      self.sum_prim_f = np.zeros((1), dtype=np.uint64)
      self.sum_prim_b = np.zeros((1), dtype=np.uint64)
      self.tensors = np.zeros((4 * layer_num), dtype=np.uint64)
      # self.in_shape = in_shape
      self.shape5D = None
      self.layer_num = layer_num
  
imports: from __future__ import division
  import numpy
  from ctypes import c_longlong, c_float
  from neon.backends.layer_cpu import ConvLayer, DeconvLayer, PoolLayer
label_desc: Use image node_id 1 to create a new MergeSumLayerMKL object from inherited base classes: object with example: obj = MergeSumLayerMKL(layer_num)