Abrégé

The present disclosure discloses a data processing method and related products, in which the data processing method includes: generating, by a general-purpose processor, a binary instruction according to device information of an AI processor, and generating an AI learning task according to the binary instruction; transmitting, by the general-purpose processor, the AI learning task to the cloud AI processor for running; receiving, by the general- purpose processor, a running result corresponding to the AI learning task; and determining, by the general-purpose processor, an offline running file according to the running result, where the offline running file is generated according to the device information of the AI processor and the binary instruction when the running result satisfies a preset requirement. By implementing the present disclosure, the debugging between the AI algorithm model and the AI processor can be achieved in advance.

Classes IPC  ?

• G06N 20/00 - Apprentissage automatique
• G06F 8/30 - Création ou génération de code source
• G06F 15/76 - Architectures de calculateurs universels à programmes enregistrés

Abrégé

A model conversion method, apparatus, computer device, and storage device are disclosed. The method can convert an initial offline model to a target offline model. The model conversion method, apparatus, computer device, and storage device may greatly reduce data input of the computer device and have a simple conversion process, and may thus reduce an amount of data processing of the computer equipment, improve processing efficiency and reduce power consumption.

Classes IPC  ?

• G06N 20/00 - Apprentissage automatique
• G06F 17/00 - TRAITEMENT ÉLECTRIQUE DE DONNÉES NUMÉRIQUES Équipement ou méthodes de traitement de données ou de calcul numérique, spécialement adaptés à des fonctions spécifiques
• G06N 3/02 - Réseaux neuronaux