Abstract: A method of performing automatic tuning on a deep learning model includes: utilizing an instruction-based learned cost model to estimate a first type of operational performance metrics based on a tuned configuration of layer fusion and tensor tiling; utilizing statistical data gathered during a compilation process of the deep learning model to determine a second type of operational performance metrics based on the tuned configuration of layer fusion and tensor tiling; performing an auto-tuning process to obtain a plurality of optimal configurations based on the first type of operational performance metrics and the second type of operational performance metrics; and configure the deep learning model according to one of the plurality of optimal configurations.

Abstract: A cable distribution box includes a base plate, a proximal wall extending from a first side of the base plate, a distal wall extending from a second side of the base plate, a latch formed on a third side of the base plate, and a cover plate extending from the proximal wall. The latch is configured to secure the cable distribution box to a chassis. The cover plate has a center portion that projects towards the base plate, such that the center portion is configured to wrap a cable thereon. The cover plate is foldable along a length of the proximal wall, relative to the base plate in a clamshell fashion, to enclose the wrapped cable between the cover plate and the base plate. The cover plate includes a locking mechanism that is configured to engage the distal wall, and secure the cover plate onto the base plate.