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Code, results and evaluations of the paper "Multi-Dimensional Dynamic Pruning: Exploring Spatial and Channel Fuzzy Sparsity"

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Multi-Dimensional Dynamic Pruning: Exploring Spatial and Channel Fuzzy Sparsity

🌟 Features

Dynamic pruning along both Spatial and Channel dimensions.

  • put your data in ./data directory, see our dataloader.

  • put pretrained weights in ./pretrained/resnet34.pth directory.

  • including some c++ on CUDA, see our dynconv files.

Instructions will be released ASAP~

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Code, results and evaluations of the paper "Multi-Dimensional Dynamic Pruning: Exploring Spatial and Channel Fuzzy Sparsity"

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