Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
I would like to see examples for every method in Tensor types.
That would be useful from people that came from PyTorch. Because Python language is highly dynamic and Rust is not, it's not easy to map PyTorch code to Rust with Burn
I would like to see examples for every method in
Tensor
types.That would be useful from people that came from PyTorch. Because Python language is highly dynamic and Rust is not, it's not easy to map PyTorch code to Rust with Burn