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公开(公告)号：US20250021315A1
公开(公告)日：2025-01-16
申请号：US18765705
申请日：2024-07-08
Applicant: Aurora Labs Ltd.
Inventor： Omer Goralnik
Abstract: Disclosed herein are techniques for training a model to predict data size. Techniques include initializing a model having model parameters; training the model to predict source code data size by: inputting first model input data to the model, the first model input data including a first set of source code parameters associated with a data size parameter associated with a first source code; and modifying at least one of the model parameters to improve prediction of source code data size by the model; and validating the model by inputting second model input data to the trained model, the second model input data including a second set of source code parameters associated with a data size parameter of a second source code.
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公开(公告)号：US20250021346A1
公开(公告)日：2025-01-16
申请号：US18765465
申请日：2024-07-08
Applicant: Aurora Labs Ltd.
Inventor： Omer Goralnik
Abstract: Disclosed herein are techniques for generating a linker script file. Techniques include accessing user definition code; accessing user configuration code; based on the user definition code and the user configuration code, identifying at least one linker script syntax; and generating a linker script file configured for generating executable code, the linker script file being based on the user definition code and the user configuration code.
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