class_docstr: MKL Backend
class_docstr_tok: ["MKL","Backend"]
docstr: For MKL backends, allocate new deltas for broadcast
docstr_tok: ["For","MKL","backends",",","allocate","new","deltas","for","broadcast"]
code: def allocate_new_deltas(self, delta, in_shape, parallelism):
      """
      For MKL backends, allocate new deltas for broadcast
      """
      return self.iobuf(in_shape, parallelism=parallelism)
  
imports: from __future__ import division
  from builtins import zip
  import logging
  from neon.backends import layer_mkl
  from neon.backends.util.check_mkl import get_mkl_lib
  from neon.backends.nervanacpu import CPUTensor, NervanaCPU, CustomNumpy
  import ctypes
  from cffi import FFI
  from ctypes import c_longlong, c_float, c_double, c_int
  import numpy
  from neon.backends import math_cpu
  from neon.backends.backend import OpTreeNode
  import os
  import sys
label_desc: Use image node_id 35 for calling the NervanaMKL obj's underlying member method code with example usage: obj.allocate_new_deltas(delta, in_shape, parallelism) and returns: self