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MLDataDevices

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ColPrac: Contributor's Guide on Collaborative Practices for Community Packages SciML Code Style

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.