Structure pruning is an effective method to compress and accelerate neural networks. While filter channel are preferable other structure methods in terms of realistic acceleration hardware compatibility, with a finer granularity, such as intra-channel pruning, expected be capable yielding more compact computationally efficient Typical utilize static hand-crafted granularity due large search spa...