- Stands for vectorized N-dimensional numerical arrays. Tensor / NdArray library.
- Currently capable of creating CPU Tensors of type T and performing
- broadcasted algebraic operations
- Nd matrix multiplication (naive)
- 1d and 2d convolution / cross-correlation (naive) with strides
- reduce operations such as sum, product, max, min and pooling
- transformations such as view/reshape, permute/transpose, flip, expand, pad, slice, squeeze, unsqueeze
Note
WIP. Needs refactoring and optimization.
- Clone the repo and run examples
cargo run -r --example <example_name>- Use as library
cargo add --git https://github.com/shettysach/veNum