First pre-release

Added

• Implementation of DTensor<T>, which is our basic entity for data storage and maniputation (supports basic linear algebra using cublas and cusolver); implementation of =+, -=, *= (for scalars and other tensors), +, -, * (scalars and tensors), printing (using std::cout <<), computation of norms (Frobenius and sum of absolute values of all elements); device vectors and matrices are tensors
• Singular value decomposition using cublas
• Least-squares on tensors
• Computation of nullspace matrices (on tensor objects)
• Cholesky factorisation
• Set up unit tests, CI, and CHANGELOG

Auto-generated release notes:

For testing example project.

What's Changed

• Experimental device tensor by @alphaville in #12
• Template project by @ruairimoran in #14
• Everything/everyone is a tensor, including Ruairi and myself by @alphaville in #15

New Contributors

• @alphaville made their first contribution in #12

Full Changelog: https://github.com/GPUEngineering/GPUtils/commits/v0.0.1