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Awesome GitHub RepositoriesGlobal Layer Pruning Optimizers
Perform global importance ranking across network layers and apply structural constraints to optimize overall pruning results.
Distinct from Pruning Ratio Optimization: Distinct from Pruning Ratio Optimization: focuses specifically on global layer importance ranking and structural constraint application across the network.
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- vainf/torch-pruning
VainF/Torch-Pruning
3,319Auf GitHub ansehenTorch-Pruning is a deep learning model pruning tool and neural network optimization toolkit designed for PyTorch. The library analyzes neural network graphs to remove redundant parameters and channels, reducing model size and computational costs. The framework traces computational graphs dynamically using sample inputs to map relational dependencies and identify coupled layers that require simultaneous pruning. It evaluates and ranks layer parameters across the entire network using global importance ranking and applies structural constraints to optimize overall outcomes. Additional capabili
Perform global importance ranking across network layers and apply structural constraints to optimize overall pruning results.
Pythonefficient-deep-learningllmmodel-compression
