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.