Raddar

A Rust-native approach to deep learning.

Currently since there's no mature solution for n-dimensional array computing on gpu in rust, we temporarily use the Tensor and other CUDA toolkit from tch, which provides Rust bindings for libtorch. But we won't use high-level parts of it.

Getting-Started

This crate requires CUDA and libtorch support. You need to:

• Install CUDA 11.3 from NVIDIA. After the installation, you need to set the TORCH_CUDA_VERSION environment variable to 11.3, or libtorch cannot find your CUDA.
• Install libtorch. You can follow the instructions in tch-rs.
• (On Windows) Check if your rust use a MSVC-based toolchain. The GNU toolchain could not successfully compile torch-sys. You can check the current toolchain by running

  rustup toolchain list

  If not, run

  rustup toolchain install nightly-x86_64-pc-windows-msvc
  rustup toolchain default nightly-x86_64-pc-windows-msvc

  to switch the toolchain.
• You should now be able to run the project. Try device_test in tests/tch_test.rs to see if the all settings are correct.