Method of generating pre-training model, electronic device, and storage medium

An electronic device, comprising:

• at least one processor;
• and
• a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions, when executed by the at least one processor, cause the at least one processor to at least:
• determine, for each of a plurality of tasks, a performance index set corresponding to a candidate model structure set, wherein the candidate model structure set is determined from a plurality of model structures comprised in a search space, and the search space is a super-network-based search space;
• determine, from the candidate model structure set, a target model structure according to a plurality of performance index sets, wherein the target model structure is a model structure meeting a performance index condition, and the plurality of performance index sets correspond to the plurality of tasks respectively;
• and
• determine the target model structure as the pre-training model.

A non-transitory computer-readable storage medium having computer instructions therein, wherein the computer instructions are configured to cause a computer system to at least:

• determine, for each of a plurality of tasks, a performance index set corresponding to a candidate model structure set, wherein the candidate model structure set is determined from a plurality of model structures comprised in a search space, and the search space is a super-network-based search space;
• determine, from the candidate model structure set, a target model structure according to a plurality of performance index sets, wherein the target model structure is a model structure meeting a performance index condition, and the plurality of performance index sets correspond to the plurality of tasks respectively;
• and
• determine the target model structure as the pre-training model.