Neural network pruning method and device, equipment and storage medium
A neural network and pruning technology, applied in the field of deep neural network compression and acceleration, can solve problems such as unfavorable multi-branch structure compression ratio, no compression processing, etc., to speed up task processing speed, reduce calculation amount, and improve compression ratio. Effect
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[0060] 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, not all, embodiments of the present invention. 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.
[0061] The present invention proposes an asynchronous pruning method for convolutional neural networks based on kernel set theory, which can use the screening criteria based on kernel set theory layer by layer in the forward reasoning process of the neural network to cut channels, and optimize the feature map weight The structure error directly obtains the new weight of the compressed convolution kernel, and an asynchronous compression process is designed for multi-...
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