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VainF / Torch-Pruning

[CVPR 2023] DepGraph: Towards Any Structural Pruning
https://arxiv.org/abs/2301.12900
MIT License
2.7k stars 332 forks source link

dead links in wiki #295

Open janthmueller opened 11 months ago

janthmueller commented 11 months ago

You have two dead links in your Wiki. In Quick Start -> 3. High-level Prunes -> Pruning with High-level Pruners -> "this tutorial" and "benchmarks/main.py"

Pruning with High-level Pruners

Leveraging the DependencyGraph, we developed several high-level pruners in this repository to facilitate effortless pruning. By specifying the desired channel sparsity, you can prune the entire model and fine-tune it using your own training code. For detailed information on this process, please refer to this tutorial, which shows how to implement a slimming pruner from scratch. Additionally, you can find more practical examples in benchmarks/main.py.

Links should be updated to something like: this tutorial benchmarks/main.py

VainF commented 11 months ago

Hi @janthmueller, thanks for the issue. Will update the wiki page.