Training und Feinabstimmung eines Neuronalen Netzwerks auf einer Neuronalen Verarbeitungseinheit

Details

Veröffentlichungs-Nr.

EP4764955

Anmeldetag

21. November 2025

Veröffentlichung

24. Juni 2026

Rechtsraum

EP

Abstract

A kernel on a neural processing unit may perform matrix multiplications (MatMuls) on tensors of various dimensions. A neural network may be trained through a forward operation and backward operation, both of which may be offloaded to the kernel. For the forward operation, the kernel may execute a layer by performing a MatMul on an input tensor and weight tensor and produce an output tensor. A loss may be computed. For the backward operation, the kernel may compute a weight gradient of the loss by performing a MatMul on the input tensor and a gradient of the output tensor and compute an input gradient of the loss by performing a MatMul on the gradient of the output tensor and the weight tensor. The gradient of the output tensor may be computed using an automatic differentiation module. The weight tensor may be updated based on the input gradient and weight gradient.

Anmelder

Firma

INTEL Corporation

Land

🇺🇸 USA