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Definition of the fixed-point algorithm requires a typedef for each fixed-point variable type that will be used by the system. This typedef is a union with an embedded structure as follows. The structure assumes that the compiler assigns the bits in an integer from most significant to least significant.
Neural network computing method and system
The present disclosure provides neural network computing methods and systems that can reduce hardware cost. A neural network computing method of one embodiment can include receiving a neural network model comprising asymmetric operations, each asymmetric operation comprising one or more fixed-point operands that are derived from corresponding floating-point operands through asymmetric quantization; compiling, by a compiler, a given asymmetric operation of the neural network model into a symmetric operation comprising a combined offset value, wherein the combined offset value is a constant computed by the compiler by at least merging zero points of inputs and outputs of the given asymmetric operation; and generating a symmetric neural network model comprising the symmetric operation for execution in a fixed-point algorithm by inference hardware.
Owner:MEDIATEK INC