rten-vecmath
| Crates.io | rten-vecmath |
| lib.rs | rten-vecmath |
| version | 0.24.0 |
| created_at | 2023-12-31 20:31:33.275054+00 |
| updated_at | 2025-12-23 14:59:55.349578+00 |
| description | SIMD vectorized implementations of various math functions used in ML models |
| homepage | https://github.com/robertknight/rten |
| repository | https://github.com/robertknight/rten |
| max_upload_size | |
| id | 1084991 |
| size | 83,066 |
Robert Knight (robertknight)
documentation
README
rten-vecmath
This crate contains SIMD-vectorized kernels ("vectorized math") for various operations used in machine learning models. This includes:
- Math functions such as exp, erf, tanh
- Activation function such as gelu
- Normalization functions such as softmax and mean-variance normalization
- Reduction functions such as sums and sum-of-square
SIMD operations are implemented using portable SIMD types from the rten-simd crate.