General machine learning model, and model file generation and parsing method

A device for parsing a general-purpose machine learning model file, wherein the general-purpose machine learning model file comprises a general-purpose machine learning model and a secondary model directory, and the device comprises:

• a central processing unit (CPU);
• and a memory;
• a file obtainer, a model distributor, a directory parser, and a model reader, wherein the directory parser is connected to the file obtainer, the model distributor, and the model reader, respectively;
• wherein, the file obtainer is configured to obtain a general-purpose machine learning model file, wherein the file obtainer includes a file header checker;
• wherein the file header checker is configured to obtain an identification code of the general-purpose machine learning model file, and detect whether the identification code complies with a preset rule,
• based on a detection result that the identification code does not comply with the preset rule, the file header checker is configured to read a model directory in the general-purpose machine learning model file,
• the file header checker is further configured to obtain a check code of the general-purpose machine learning model file, and check whether the check code is consistent with a preset standard code, based on a checking result the check code is inconsistent with the preset standard code, the file header checker is configured to perform an error correction operation, wherein the file obtainer includes a file tailer corrector, wherein the file tailer corrector is configured to:
• obtain an error correction code,
• perform error correction on the general-purpose machine learning model file according to the error correction code to obtain an error-corrected general-purpose machine learning model file,
• check whether a check code of the error-corrected general-purpose machine learning model file is consistent with the preset standard code, and
• based on a checking result that the check code of the error-corrected general-purpose machine learning model file is consistent with the preset standard code, read a secondary model directory in the general-purpose machine learning model file;
• the model distributor is configured to read a secondary model directory in the general-purpose machine learning model file, read a target secondary model according to the secondary model directory, and restore the target secondary model to obtain a target general-purpose machine learning model;
• the directory parser is configured to read a model directory in the general-purpose machine learning model file;
• and
• the model reader is configured to read a target general-purpose machine learning model according to the model directory.