US 2025/0224939 A1 · METHOD FOR DETERMINING COMPILE OPTIMIZATION OPTION, ELECTRONIC DEVICE AND READABLE STORAGE MEDIUM

Abstract

The present application provides a method for determining a compile optimization option, an electronic device, and a computer-readable storage medium. The method includes: splitting a first source code into at least one second source code according to a preset splitting level; and obtaining feature information corresponding to each second source code, and inputting the feature information corresponding to each second source code into a pre-trained prediction model to obtain a first compile optimization option corresponding to each second source code.

Claims20

Dependent claims

A method for determining a compile optimization option, comprising:

splitting a first source code into at least one second source code according to a preset splitting level;
obtaining feature information corresponding to each second source code;
and
inputting the feature information corresponding to each second source code into a pre-trained prediction model to obtain a first compile optimization option corresponding to each second source code.

1 more element

A training method, comprising:

constructing a data set, wherein the data set comprises at least one data entry, each of the data entry comprises:
a third source code and a corresponding second compile optimization option;
obtaining feature information corresponding to the third source code in each data entry;
and
performing model training according to the feature information corresponding to the third source code and the corresponding second compile optimization option to obtain the prediction model, wherein in the model training process, the feature information corresponding to the third source code is used as an input of the prediction model, and the second compile optimization option is used as an output of the prediction model.

2 more elements

A training method, comprising:

constructing a data set, wherein the data set comprises at least one data entry, each of the data entry comprises:
feature information corresponding to a third source code and a corresponding second compile optimization option;
performing model training according to the feature information corresponding to the third source code and the corresponding second compile optimization option to obtain the prediction model, wherein in the model training process, the feature information corresponding to the third source code is used as an input of the prediction model, and the second compile optimization option is used as an output of the prediction model.

Dependencies are inferred from the claim text.

Method for determining compile optimization option, electronic device and readable storage medium

Life of this patent

Method for determining compile optimization option, electronic device and readable storage medium

Life of this patent

Abstract

Claims20