公开(公告)号：US20220207408A1

公开(公告)日：2022-06-30

申请号：US17134804

申请日：2020-12-28

Applicant: ATI TECHNOLOGIES ULC

Inventor： IHAB AMER ,  MEHDI SAEEDI ,  GABOR SINES

IPC: G06N20/00 ,  G06K9/62

Abstract: Mapping machine learning activation data to a representative value palette, including: selecting, from a plurality of activation values of a model execution, a plurality of representative values; identifying, for each activation value of the plurality of activation values, a representative value of the plurality of representative values; calculating, for each activation value of the plurality of activation values, a corresponding residual value as a difference between an activation value and a corresponding representative value; and storing, for each activation value of the plurality of activation values, the corresponding residual value and an index of the corresponding representative value.

公开(公告)号：US20220092760A1

公开(公告)日：2022-03-24

申请号：US17031076

申请日：2020-09-24

Applicant: ATI TECHNOLOGIES ULC

Inventor： FENG PAN ,  YANG LIU ,  CRYSTAL SAU ,  WEI GAO ,  MINGKAI SHAO ,  DONG LIU ,  IHAB AMER ,  GABOR SINES

IPC: G06T7/00 ,  H04N17/00

Abstract: Calculating, for each frame of a plurality of frames, a corresponding quality value; calculating, for each frame of the plurality of frames, based on one or more visual attributes of a frame, a weight for the corresponding quality value of the frame; calculating an aggregate quality value for the plurality of frames based on the weight and the corresponding quality value for each frame of the plurality of frames; and providing an assessment of the plurality of frames based on the aggregate quality value for the plurality of frames.