Update examples/movement-pruning/README.md
Co-authored-by: Julien Chaumond <chaumond@gmail.com>
This commit is contained in:
@@ -163,6 +163,7 @@ For reproducibility purposes, we share the detailed results presented in the pap
|
||||
|
||||
Early experiments show that even though models fine-pruned with (soft) movement pruning are extremely sparse, they do not benefit from significant improvement in terms of inference speed when using the standard PyTorch inference.
|
||||
We are currently benchmarking and exploring inference setups specifically for sparse architectures.
|
||||
In particular, hardware manufacturers are announcing devices that will speedup inference for sparse networks considerably.
|
||||
|
||||
## Citation
|
||||
|
||||
|
||||
Reference in New Issue
Block a user