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Hi, I came across the NMPruner class in your repository, particularly interested in its structured fine-grained sparsity methods like group_death and grp_grad_regrow. Could you please let me know which research paper or reference this implementation is based on?Thank you!
The text was updated successfully, but these errors were encountered:
Thank you for your interest. The N:M pruner of torch2chip is a starting from the GraNet (NeurIPS'21), which is designed for element-wise pruning. But I modified the implementation to enable the prune-and-regrow for the structured fine-grained sparsity.
Specifically, we gradually increase the probability/percentage of the N:M groups throughout the training process.
Hi, I came across the NMPruner class in your repository, particularly interested in its structured fine-grained sparsity methods like group_death and grp_grad_regrow. Could you please let me know which research paper or reference this implementation is based on?Thank you!
The text was updated successfully, but these errors were encountered: