# 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.