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AGP for structs (#58)
Using the automatic gradual pruning for structured-pruning is very simple to use and produces good results. It is implemented in Google's TensorFlow framework.
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- distiller/config.py 10 additions, 10 deletionsdistiller/config.py
- distiller/pruning/__init__.py 1 addition, 1 deletiondistiller/pruning/__init__.py
- distiller/pruning/automated_gradual_pruner.py 34 additions, 3 deletionsdistiller/pruning/automated_gradual_pruner.py
- distiller/pruning/ranked_structures_pruner.py 11 additions, 11 deletionsdistiller/pruning/ranked_structures_pruner.py
- examples/agp-pruning/resnet20_filters.schedule_agp.yaml 109 additions, 0 deletionsexamples/agp-pruning/resnet20_filters.schedule_agp.yaml
- examples/agp-pruning/resnet20_filters.schedule_agp_2.yaml 119 additions, 0 deletionsexamples/agp-pruning/resnet20_filters.schedule_agp_2.yaml
- models/__init__.py 5 additions, 0 deletionsmodels/__init__.py
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