MLDataDevices

MLDataDevices.jl is a lightweight package defining rules for transferring data across devices. It is used in deep learning frameworks such as Lux.jl and Flux.jl.

Currently we provide support for the following backends:

1. CPUDevice: for CPUs -- no additional packages required.
2. CUDADevice: CUDA.jl for NVIDIA GPUs.
3. AMDGPUDevice: AMDGPU.jl for AMD ROCM GPUs.
4. MetalDevice: Metal.jl for Apple Metal GPUs. (Experimental)
5. oneAPIDevice: oneAPI.jl for Intel GPUs. (Experimental)
6. XLADevice: Reactant.jl for XLA Support. (Experimental)

Updating to v1.0

• Package was renamed from LuxDeviceUtils.jl to MLDataDevices.jl.
• Lux(***)Device has been renamed to (***)Device.
• Lux(***)Adaptor objects have been removed. Use (***)Device objects instead.