microsoft/nni

Does nni contain some new pruning base methods?

Open

#4 567 ouverte le 21 févr. 2022

Voir sur GitHub
 (6 commentaires) (0 réactions) (1 assigné)Python (13 504 stars) (1 830 forks)batch import
good first issuemodel compressionnew feature

Description

Describe the issue: Sorry to bother you, in nni, the current basic pruning strategies are Norm, FPGM, ActivationPruner, TaylorFOWeightPruner, etc. Are there other basic strategies, such as HRank, if I want to add it myself, where do I need to rewrite it?

Environment:

  • NNI version: V2.6
  • Training service (local|remote|pai|aml|etc): local
  • Client OS: linux
  • Server OS (for remote mode only):
  • Python version: 3.8
  • PyTorch/TensorFlow version: pytorch1.8
  • Is conda/virtualenv/venv used?: conda
  • Is running in Docker?: no

How to reproduce it?:

Guide contributeur