公开(公告)号：US20240361999A1

公开(公告)日：2024-10-31

申请号：US18309341

申请日：2023-04-28

Applicant: MEDIATEK INC.

Inventor： Meng-Hsuan YANG ,  Po-hua HUANG ,  Hsing-Chang CHOU ,  Ting Chen TSAN ,  Yu-Lung LU

IPC: G06F8/41 ,  G06N3/10

CPC classification number: G06F8/443 ,  G06N3/10

Abstract: A method of compiling a deep learning model includes reading metadata from a compiled result, the metadata indicating a structure of the deep learning model corresponding to a low-level IR, receiving shape information of an input tensor of the deep learning model, determining a shape of an output tensor of a first computation operation of the computation operations based on the shape information of the input tensor of the deep learning model and the structure of the deep learning model, tiling the output tensor of the first computation operation into one or more tiles according to the shape of the output tensor of the first computation operation and hardware limitations of a processor executing the deep learning model, and patching one or more copies of a templated hardware command into executable hardware commands.

公开(公告)号：US20180113735A1

公开(公告)日：2018-04-26

申请号：US15698761

申请日：2017-09-08

Applicant: MEDIATEK INC.

Inventor： Yu-Lung LU

IPC: G06F9/48 ,  G06F9/50

CPC classification number: G06F9/4806 ,  G06F9/4843 ,  G06F9/485 ,  G06F9/5016 ,  G06F9/5022 ,  G06F2209/482 ,  G06F2209/503

Abstract: A launch method and an electronic device are provided. The electronic device includes a first memory, a first memory controller, and a first processor. The first memory controller is coupled to the first memory. According to the launch method, the first processor executes the launch program to receive a signal indicating that a first application is to be launched, notify a background service to prepare memory space of the first memory for launch of the first application in response to the received signal, and launch the first application after notifying the background service to prepare the memory space of the first memory.