An efficient conversion method and device for a deep learning model
A deep learning and conversion method technology, which is applied in the field of efficient conversion methods and devices for deep learning models, can solve the problems of low development efficiency and computing efficiency of deep learning models, achieve the effect of reducing structural correlation and avoiding development difficulties
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[0026] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0027] The step numbers in the drawings are only used as reference signs of the steps, and do not indicate the execution order.
[0028] The efficient conversion method of the deep learning model in the embodiment of the present invention uses the data standardization framework established by the general deep learning framework to convert the data structure of the deep learning model to form standard parameters compatible with the NPU processor model, ...
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