公开(公告)号：US20220156567A1

公开(公告)日：2022-05-19

申请号：US17505422

申请日：2021-10-19

Applicant: MediaTek Inc.

Inventor： Chien-Hung Lin ,  Yi-Min Tsai ,  Chia-Lin Yu ,  Chi-Wei Yang

IPC: G06N3/063 ,  G06N3/04

Abstract: A neural network (NN) processing unit includes an operation circuit to perform tensor operations of a given layer of a neural network in one of a first number representation and a second number representation. The NN processing unit further includes a conversion circuit coupled to at least one of an input port and an output port of the operation circuit to convert between the first number representation and the second number representation. The first number representation is one of a fixed-point number representation and a floating-point number representation, and the second number representation is the other one of the fixed-point number representation and the floating-point number representation.

公开(公告)号：US20230196526A1

公开(公告)日：2023-06-22

申请号：US17552912

申请日：2021-12-16

Applicant: MediaTek Inc.

Inventor： Yu-Syuan Xu ,  Yu Tseng ,  Shou-Yao Tseng ,  Hsien-Kai Kuo ,  Yi-Min Tsai

IPC: G06T5/50 ,  G06T5/00 ,  G06N3/04

CPC classification number: G06T5/50 ,  G06T5/001 ,  G06N3/04

Abstract: A system stores parameters of a feature extraction network and a refinement network. The system receives an input including a degraded image concatenated with a degradation estimation of the degraded image; performs operations of the feature extraction network to apply pre-trained weights to the input to generate feature maps; and performs operations of the refinement network including a sequence of dynamic blocks. One or more of the dynamic blocks dynamically generates per-grid kernels to be applied to corresponding grids of an intermediate image output from a prior dynamic block in the sequence. Each per-grid kernel is generated based on the intermediate image and the feature maps.

公开(公告)号：US20230064692A1

公开(公告)日：2023-03-02

申请号：US17846007

申请日：2022-06-22

Applicant: MediaTek Inc.

Inventor： Hao Yun Chen ,  Min-Hung Chen ,  Min-Fong Horng ,  Yu-Syuan Xu ,  Hsien-Kai Kuo ,  Yi-Min Tsai

IPC: G06N3/04 ,  G06N3/08 ,  G06N3/063 ,  G06N7/00

Abstract: According to a network space search method, an expanded search space is partitioned into multiple network spaces. Each network space includes a plurality of network architectures and is characterized by a first range of network depths and a second range of network widths. The performance of the network spaces is evaluated by sampling respective network architectures with respect to a multi-objective loss function. The evaluated performance is indicated as a probability associated with each network space. The method then identifies a subset of the network spaces that has the highest probabilities, and selects a target network space from the subset based on model complexity.

公开(公告)号：US20230006611A1

公开(公告)日：2023-01-05

申请号：US17857132

申请日：2022-07-04

Applicant: MediaTek Inc.

Inventor： Po-Yu Chen ,  Hao Chen ,  Yi-Min Tsai ,  Hao Yun Chen ,  Hsien-Kai Kuo ,  Hantao Huang ,  Hsin-Hung Chen ,  Yu Hsien Chang ,  Yu-Ming Lai ,  Lin Sen Wang ,  Chi-Tsan Chen ,  Sheng-Hong Yan

IPC: H03F1/32 ,  H03F1/02 ,  G06K9/62 ,  G06N3/063

Abstract: A compensator compensates for the distortions of a power amplifier circuit. A power amplifier neural network (PAN) is trained to model the power amplifier circuit using pre-determined input and output signal pairs that characterize the power amplifier circuit. Then a compensator is trained to pre-distort a signal received by the PAN. The compensator uses a neural network trained to optimize a loss between a compensator input and a PAN output, and the loss is calculated according to a multi-objective loss function that includes one or more time-domain loss function and one or more frequency-domain loss functions. The trained compensator performs signal compensation to thereby output a pre-distorted signal to the power amplifier circuit.