Abstract: Systems and methods for deploying individual machine learning models for multiple deployment targets are disclosed. Exemplary implementations may: obtain a logical representation of a machine learning model; obtain information regarding multiple deployment targets; generate a directed acyclic graph (DAG); perform logical and physical optimizations; generate different sets of target code for the multiple deployment targets; deploy the different sets of target code, and/or perform other steps.
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