refactor!: rename round 2 to MLDataDevices

Project.toml

@@ -1,4 +1,4 @@
-name = "DeviceUtils"
+name = "MLDataDevices"
 uuid = "7e8f7934-dd98-4c1a-8fe8-92b47a384d40"
 authors = ["Avik Pal <[email protected]> and contributors"]
 version = "1.0.0"
@@ -26,18 +26,18 @@ cuDNN = "02a925ec-e4fe-4b08-9a7e-0d78e3d38ccd"
 oneAPI = "8f75cd03-7ff8-4ecb-9b8f-daf728133b1b"
 
 [extensions]
-DeviceUtilsAMDGPUExt = "AMDGPU"
-DeviceUtilsCUDAExt = "CUDA"
-DeviceUtilsFillArraysExt = "FillArrays"
-DeviceUtilsGPUArraysExt = "GPUArrays"
-DeviceUtilsMetalExt = ["GPUArrays", "Metal"]
-DeviceUtilsRecursiveArrayToolsExt = "RecursiveArrayTools"
-DeviceUtilsReverseDiffExt = "ReverseDiff"
-DeviceUtilsSparseArraysExt = "SparseArrays"
-DeviceUtilsTrackerExt = "Tracker"
-DeviceUtilsZygoteExt = "Zygote"
-DeviceUtilscuDNNExt = ["CUDA", "cuDNN"]
-DeviceUtilsoneAPIExt = ["GPUArrays", "oneAPI"]
+MLDataDevicesAMDGPUExt = "AMDGPU"
+MLDataDevicesCUDAExt = "CUDA"
+MLDataDevicesFillArraysExt = "FillArrays"
+MLDataDevicesGPUArraysExt = "GPUArrays"
+MLDataDevicesMetalExt = ["GPUArrays", "Metal"]
+MLDataDevicesRecursiveArrayToolsExt = "RecursiveArrayTools"
+MLDataDevicesReverseDiffExt = "ReverseDiff"
+MLDataDevicesSparseArraysExt = "SparseArrays"
+MLDataDevicesTrackerExt = "Tracker"
+MLDataDevicesZygoteExt = "Zygote"
+MLDataDevicescuDNNExt = ["CUDA", "cuDNN"]
+MLDataDevicesoneAPIExt = ["GPUArrays", "oneAPI"]
 
 [compat]
 AMDGPU = "0.9.6"

README.md

@@ -1,18 +1,18 @@
-# DeviceUtils
+# MLDataDevices
 
 [![Join the chat at https://julialang.zulipchat.com #machine-learning](https://img.shields.io/static/v1?label=Zulip&message=chat&color=9558b2&labelColor=389826)](https://julialang.zulipchat.com/#narrow/stream/machine-learning)
 [![Latest Docs](https://img.shields.io/badge/docs-latest-blue.svg)](https://lux.csail.mit.edu/dev/api/Accelerator_Support/LuxDeviceUtils)
 [![Stable Docs](https://img.shields.io/badge/docs-stable-blue.svg)](https://lux.csail.mit.edu/stable/api/Accelerator_Support/LuxDeviceUtils)
 
-[![CI](https://github.com/LuxDL/DeviceUtils.jl/actions/workflows/CI.yml/badge.svg)](https://github.com/LuxDL/DeviceUtils.jl/actions/workflows/CI.yml)
-[![Buildkite](https://badge.buildkite.com/b098d6387b2c69bd0ab684293ff66332047b219e1b8f9bb486.svg?branch=main)](https://buildkite.com/julialang/DeviceUtils-dot-jl)
-[![codecov](https://codecov.io/gh/LuxDL/DeviceUtils.jl/branch/main/graph/badge.svg?token=1ZY0A2NPEM)](https://codecov.io/gh/LuxDL/DeviceUtils.jl)
+[![CI](https://github.com/LuxDL/MLDataDevices.jl/actions/workflows/CI.yml/badge.svg)](https://github.com/LuxDL/MLDataDevices.jl/actions/workflows/CI.yml)
+[![Buildkite](https://badge.buildkite.com/b098d6387b2c69bd0ab684293ff66332047b219e1b8f9bb486.svg?branch=main)](https://buildkite.com/julialang/MLDataDevices-dot-jl)
+[![codecov](https://codecov.io/gh/LuxDL/MLDataDevices.jl/branch/main/graph/badge.svg?token=1ZY0A2NPEM)](https://codecov.io/gh/LuxDL/MLDataDevices.jl)
 [![Aqua QA](https://raw.githubusercontent.com/JuliaTesting/Aqua.jl/master/badge.svg)](https://github.com/JuliaTesting/Aqua.jl)
 
 [![ColPrac: Contributor's Guide on Collaborative Practices for Community Packages](https://img.shields.io/badge/ColPrac-Contributor's%20Guide-blueviolet)](https://github.com/SciML/ColPrac)
 [![SciML Code Style](https://img.shields.io/static/v1?label=code%20style&message=SciML&color=9558b2&labelColor=389826)](https://github.com/SciML/SciMLStyle)
 
-`DeviceUtils.jl` is a lightweight package defining rules for transferring data across
+`MLDataDevices.jl` is a lightweight package defining rules for transferring data across
 devices. It is used in deep learning frameworks such as [Lux.jl](https://lux.csail.mit.edu/).
 
 Currently we provide support for the following backends:
@@ -24,6 +24,6 @@ Currently we provide support for the following backends:
 
 ## Updating to v1.0
 
-  * Package was renamed from `LuxDeviceUtils.jl` to `DeviceUtils.jl`.
+  * 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.

ext/DeviceUtilsAMDGPUExt.jl → ext/MLDataDevicesAMDGPUExt.jl

@@ -1,8 +1,8 @@
-module DeviceUtilsAMDGPUExt
+module MLDataDevicesAMDGPUExt
 
 using Adapt: Adapt
 using AMDGPU: AMDGPU
-using DeviceUtils: DeviceUtils, AMDGPUDevice, CPUDevice, reset_gpu_device!
+using MLDataDevices: MLDataDevices, AMDGPUDevice, CPUDevice, reset_gpu_device!
 using Random: Random
 
 __init__() = reset_gpu_device!()
@@ -21,16 +21,16 @@
     return
 end
 
-DeviceUtils.loaded(::Union{AMDGPUDevice, <:Type{AMDGPUDevice}}) = true
-function DeviceUtils.functional(::Union{AMDGPUDevice, <:Type{AMDGPUDevice}})::Bool
+MLDataDevices.loaded(::Union{AMDGPUDevice, <:Type{AMDGPUDevice}}) = true
+function MLDataDevices.functional(::Union{AMDGPUDevice, <:Type{AMDGPUDevice}})::Bool
     _check_use_amdgpu!()
     return USE_AMD_GPU[]
 end
 
-function DeviceUtils._with_device(::Type{AMDGPUDevice}, ::Nothing)
+function MLDataDevices._with_device(::Type{AMDGPUDevice}, ::Nothing)
     return AMDGPUDevice(nothing)
 end
-function DeviceUtils._with_device(::Type{AMDGPUDevice}, id::Integer)
+function MLDataDevices._with_device(::Type{AMDGPUDevice}, id::Integer)
     id > length(AMDGPU.devices()) &&
         throw(ArgumentError("id = $id > length(AMDGPU.devices()) = $(length(AMDGPU.devices()))"))
     old_dev = AMDGPU.device()
@@ -40,38 +40,38 @@
     return device
 end
 
-DeviceUtils._get_device_id(dev::AMDGPUDevice) = AMDGPU.device_id(dev.device)
+MLDataDevices._get_device_id(dev::AMDGPUDevice) = AMDGPU.device_id(dev.device)
 
 # Default RNG
-DeviceUtils.default_device_rng(::AMDGPUDevice) = AMDGPU.rocrand_rng()
+MLDataDevices.default_device_rng(::AMDGPUDevice) = AMDGPU.rocrand_rng()
 
 # Query Device from Array
-function DeviceUtils._get_device(x::AMDGPU.AnyROCArray)
+function MLDataDevices._get_device(x::AMDGPU.AnyROCArray)
     parent_x = parent(x)
     parent_x === x && return AMDGPUDevice(AMDGPU.device(x))
-    return DeviceUtils._get_device(parent_x)
+    return MLDataDevices._get_device(parent_x)
 end
 
-DeviceUtils._get_device_type(::AMDGPU.AnyROCArray) = AMDGPUDevice
+MLDataDevices._get_device_type(::AMDGPU.AnyROCArray) = AMDGPUDevice
 
 # Set Device
-function DeviceUtils.set_device!(::Type{AMDGPUDevice}, dev::AMDGPU.HIPDevice)
+function MLDataDevices.set_device!(::Type{AMDGPUDevice}, dev::AMDGPU.HIPDevice)
     return AMDGPU.device!(dev)
 end
-function DeviceUtils.set_device!(::Type{AMDGPUDevice}, id::Integer)
-    return DeviceUtils.set_device!(AMDGPUDevice, AMDGPU.devices()[id])
+function MLDataDevices.set_device!(::Type{AMDGPUDevice}, id::Integer)
+    return MLDataDevices.set_device!(AMDGPUDevice, AMDGPU.devices()[id])
 end
-function DeviceUtils.set_device!(::Type{AMDGPUDevice}, ::Nothing, rank::Integer)
+function MLDataDevices.set_device!(::Type{AMDGPUDevice}, ::Nothing, rank::Integer)
     id = mod1(rank + 1, length(AMDGPU.devices()))
-    return DeviceUtils.set_device!(AMDGPUDevice, id)
+    return MLDataDevices.set_device!(AMDGPUDevice, id)
 end
 
 # Device Transfer
 ## To GPU
 Adapt.adapt_storage(::AMDGPUDevice{Nothing}, x::AbstractArray) = AMDGPU.roc(x)
 function Adapt.adapt_storage(to::AMDGPUDevice, x::AbstractArray)
     old_dev = AMDGPU.device()  # remember the current device
-    dev = DeviceUtils.get_device(x)
+    dev = MLDataDevices.get_device(x)
     if !(dev isa AMDGPUDevice)
         AMDGPU.device!(to.device)
         x_new = AMDGPU.roc(x)

ext/DeviceUtilsCUDAExt.jl → ext/MLDataDevicesCUDAExt.jl

@@ -1,12 +1,12 @@
-module DeviceUtilsCUDAExt
+module MLDataDevicesCUDAExt
 
 using Adapt: Adapt
 using CUDA: CUDA
 using CUDA.CUSPARSE: AbstractCuSparseMatrix, AbstractCuSparseVector
-using DeviceUtils: DeviceUtils, CUDADevice, CPUDevice
+using MLDataDevices: MLDataDevices, CUDADevice, CPUDevice
 using Random: Random
 
-function DeviceUtils._with_device(::Type{CUDADevice}, id::Integer)
+function MLDataDevices._with_device(::Type{CUDADevice}, id::Integer)
     id > length(CUDA.devices()) &&
         throw(ArgumentError("id = $id > length(CUDA.devices()) = $(length(CUDA.devices()))"))
     old_dev = CUDA.device()
@@ -16,47 +16,47 @@
     return device
 end
 
-function DeviceUtils._with_device(::Type{CUDADevice}, ::Nothing)
+function MLDataDevices._with_device(::Type{CUDADevice}, ::Nothing)
     return CUDADevice(nothing)
 end
 
-DeviceUtils._get_device_id(dev::CUDADevice) = CUDA.deviceid(dev.device) + 1
+MLDataDevices._get_device_id(dev::CUDADevice) = CUDA.deviceid(dev.device) + 1
 
 # Default RNG
-DeviceUtils.default_device_rng(::CUDADevice) = CUDA.default_rng()
+MLDataDevices.default_device_rng(::CUDADevice) = CUDA.default_rng()
 
 # Query Device from Array
-function DeviceUtils._get_device(x::CUDA.AnyCuArray)
+function MLDataDevices._get_device(x::CUDA.AnyCuArray)
     parent_x = parent(x)
     parent_x === x && return CUDADevice(CUDA.device(x))
-    return DeviceUtils.get_device(parent_x)
+    return MLDataDevices.get_device(parent_x)
 end
-function DeviceUtils._get_device(x::CUDA.CUSPARSE.AbstractCuSparseArray)
+function MLDataDevices._get_device(x::CUDA.CUSPARSE.AbstractCuSparseArray)
     return CUDADevice(CUDA.device(x.nzVal))
 end
 
-function DeviceUtils._get_device_type(::Union{
+function MLDataDevices._get_device_type(::Union{
         <:CUDA.AnyCuArray, <:CUDA.CUSPARSE.AbstractCuSparseArray})
     return CUDADevice
 end
 
 # Set Device
-function DeviceUtils.set_device!(::Type{CUDADevice}, dev::CUDA.CuDevice)
+function MLDataDevices.set_device!(::Type{CUDADevice}, dev::CUDA.CuDevice)
     return CUDA.device!(dev)
 end
-function DeviceUtils.set_device!(::Type{CUDADevice}, id::Integer)
-    return DeviceUtils.set_device!(CUDADevice, collect(CUDA.devices())[id])
+function MLDataDevices.set_device!(::Type{CUDADevice}, id::Integer)
+    return MLDataDevices.set_device!(CUDADevice, collect(CUDA.devices())[id])
 end
-function DeviceUtils.set_device!(::Type{CUDADevice}, ::Nothing, rank::Integer)
+function MLDataDevices.set_device!(::Type{CUDADevice}, ::Nothing, rank::Integer)
     id = mod1(rank + 1, length(CUDA.devices()))
-    return DeviceUtils.set_device!(CUDADevice, id)
+    return MLDataDevices.set_device!(CUDADevice, id)
 end
 
 # Device Transfer
 Adapt.adapt_storage(::CUDADevice{Nothing}, x::AbstractArray) = CUDA.cu(x)
 function Adapt.adapt_storage(to::CUDADevice, x::AbstractArray)
     old_dev = CUDA.device()  # remember the current device
-    dev = DeviceUtils.get_device(x)
+    dev = MLDataDevices.get_device(x)
     if !(dev isa CUDADevice)
         CUDA.device!(to.device)
         x_new = CUDA.cu(x)
@@ -84,7 +84,7 @@
     end
 else
     @warn "CUDA.CUSPARSE seems to have removed SparseArrays as a dependency. Please open \
-           an issue in DeviceUtils.jl repository."
+           an issue in MLDataDevices.jl repository."
 end
 
 end

ext/DeviceUtilsFillArraysExt.jl → ext/MLDataDevicesFillArraysExt.jl

@@ -1,8 +1,8 @@
-module DeviceUtilsFillArraysExt
+module MLDataDevicesFillArraysExt
 
 using Adapt: Adapt
 using FillArrays: FillArrays, AbstractFill
-using DeviceUtils: DeviceUtils, CPUDevice, AbstractDevice
+using MLDataDevices: MLDataDevices, CPUDevice, AbstractDevice
 
 Adapt.adapt_structure(::CPUDevice, x::AbstractFill) = x
 Adapt.adapt_structure(to::AbstractDevice, x::AbstractFill) = Adapt.adapt(to, collect(x))

ext/DeviceUtilsGPUArraysExt.jl → ext/MLDataDevicesGPUArraysExt.jl

@@ -1,8 +1,8 @@
-module DeviceUtilsGPUArraysExt
+module MLDataDevicesGPUArraysExt
 
 using Adapt: Adapt
 using GPUArrays: GPUArrays
-using DeviceUtils: CPUDevice
+using MLDataDevices: CPUDevice
 using Random: Random
 
 Adapt.adapt_storage(::CPUDevice, rng::GPUArrays.RNG) = Random.default_rng()

ext/MLDataDevicesMetalExt.jl

@@ -0,0 +1,27 @@
+module MLDataDevicesMetalExt
+
+using Adapt: Adapt
+using GPUArrays: GPUArrays
+using MLDataDevices: MLDataDevices, MetalDevice, reset_gpu_device!
+using Metal: Metal, MtlArray
+
+__init__() = reset_gpu_device!()
+
+MLDataDevices.loaded(::Union{MetalDevice, Type{<:MetalDevice}}) = true
+function MLDataDevices.functional(::Union{MetalDevice, Type{<:MetalDevice}})
+    return Metal.functional()
+end
+
+# Default RNG
+MLDataDevices.default_device_rng(::MetalDevice) = GPUArrays.default_rng(MtlArray)
+
+# Query Device from Array
+MLDataDevices._get_device(::MtlArray) = MetalDevice()
+
+MLDataDevices._get_device_type(::MtlArray) = MetalDevice
+
+# Device Transfer
+## To GPU
+Adapt.adapt_storage(::MetalDevice, x::AbstractArray) = Metal.mtl(x)
+
+end

ext/DeviceUtilsRecursiveArrayToolsExt.jl → ext/MLDataDevicesRecursiveArrayToolsExt.jl

@@ -1,7 +1,7 @@
-module DeviceUtilsRecursiveArrayToolsExt
+module MLDataDevicesRecursiveArrayToolsExt
 
 using Adapt: Adapt, adapt
-using DeviceUtils: DeviceUtils, AbstractDevice
+using MLDataDevices: MLDataDevices, AbstractDevice
 using RecursiveArrayTools: VectorOfArray, DiffEqArray
 
 # We want to preserve the structure
@@ -15,9 +15,9 @@ function Adapt.adapt_structure(to::AbstractDevice, x::DiffEqArray)
 end
 
 for op in (:_get_device, :_get_device_type)
-    @eval function DeviceUtils.$op(x::Union{VectorOfArray, DiffEqArray})
+    @eval function MLDataDevices.$op(x::Union{VectorOfArray, DiffEqArray})
         length(x.u) == 0 && return $(op == :_get_device ? nothing : Nothing)
-        return mapreduce(DeviceUtils.$op, DeviceUtils.__combine_devices, x.u)
+        return mapreduce(MLDataDevices.$op, MLDataDevices.__combine_devices, x.u)
     end
 end
 

ext/MLDataDevicesReverseDiffExt.jl

@@ -0,0 +1,17 @@
+module MLDataDevicesReverseDiffExt
+
+using MLDataDevices: MLDataDevices
+using ReverseDiff: ReverseDiff
+
+for op in (:_get_device, :_get_device_type)
+    @eval begin
+        function MLDataDevices.$op(x::ReverseDiff.TrackedArray)
+            return MLDataDevices.$op(ReverseDiff.value(x))
+        end
+        function MLDataDevices.$op(x::AbstractArray{<:ReverseDiff.TrackedReal})
+            return MLDataDevices.$op(ReverseDiff.value.(x))
+        end
+    end
+end
+
+end

ext/DeviceUtilsSparseArraysExt.jl → ext/MLDataDevicesSparseArraysExt.jl

@@ -1,7 +1,7 @@
-module DeviceUtilsSparseArraysExt
+module MLDataDevicesSparseArraysExt
 
 using Adapt: Adapt
-using DeviceUtils: CPUDevice
+using MLDataDevices: CPUDevice
 using SparseArrays: AbstractSparseArray
 
 Adapt.adapt_storage(::CPUDevice, x::AbstractSparseArray) = x