ferrix 0.1.2

A fast tensor library in Rust

ferrix

A fast, memory-safe tensor library in Rust — exposed as a Python package.

Install

pip install ferrix

Usage

import ferrix

a = ferrix.PyNDArray([1.0,2.0,3.0,4.0], [2,2])
b = ferrix.PyNDArray([5.0,6.0,7.0,8.0], [2,2])

c = a.matmul_blas(b)
print(c.get([0,0]))  # 19.0

print(a.relu().get([0,0]))
print(a.softmax().sum())  # 1.0

Benchmarks

Operation	ferrix	NumPy
matmul 512×512 (BLAS)	6.5ms	2.1ms
relu 1M elements	0.52ms	0.76ms

Features

• N-dimensional arrays with stride-based indexing
• Zero-copy slicing, reshape, transpose
• Element-wise ops: add, mul, scale, relu, sigmoid, softmax
• Matrix multiply via OpenBLAS FFI
• Parallel ops via rayon
• Boolean masking, fancy indexing, gather