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Predictive model compiler for generating a statically scheduled binary with known resource constraints
Predictive model compiler for generating a statically scheduled binary with known resource constraints
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机译:预测模型编译器,用于生成具有已知资源约束的静态计划的二进制文件
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摘要
A system receives a predictive model and receives one or more runtime constraints. The system generates a directed acyclic graph (DAG) of the predictive model indicating dependencies. The system compiles the predictive model into first instructions for a first processor based on the one or more runtime constraints and the DAG. The system packages first instructions, the one or more runtime constraints, and the DAG of the predictive model in a first binary. The system recompiles the predictive model into second instructions for a second processor based on the runtime constraints and the DAG stored in the first processor. The system packages the second instructions, the DAG, and the runtime constraints in a second binary.
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