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Optoelectronic systems are appealing due to their fast speed, large bandwidth, low power consumption, and CMOS\u2010compatible fabrication process. Nevertheless, the absence of efficient design and verification tools in the prefabrication phase poses obstacles to the transition from design to practical applications. To address these hurdles, an optoelectronic emulator is created that combines well\u2010established optical components with a field programmable gate array. The emulator can execute multiplication operations within the optical domain with a precision of up to 6 bits and at a high frequency reaching 20\u2009GHz. By leveraging this system, various image convolution and inference learning tasks have been effectively carried out. This accomplishment serves as a compelling demonstration of its capability to execute fundamental learning tasks, which is in line with the requirements for hardware simulations of photonic neuromorphic computing. 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