Created by: jczaja

Changes here are introducing mechanism of reusing of MKLDNN primitives (memory, reorder and convolution_forward) so they do not have to be recreated in next iteration of fluid program execution. This introduce performance gain , in particular visible in training/inference when smaller batches are used eg 1 - 32.