chore: run the formatter

LuxDL · Nov 11, 2024 · e39f67f · e39f67f
1 parent 3a51143
commit e39f67f
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Showing 3 changed files with 10 additions and 9 deletions.
diff --git a/lib/MLDataDevices/ext/MLDataDevicesChainRulesExt.jl b/lib/MLDataDevices/ext/MLDataDevicesChainRulesExt.jl
@@ -1,13 +1,14 @@
 module MLDataDevicesChainRulesExt
 
 using Adapt: Adapt
-using MLDataDevices: CPUDevice, CUDADevice, AMDGPUDevice, MetalDevice, oneAPIDevice, ReactantDevice
+using MLDataDevices: CPUDevice, CUDADevice, AMDGPUDevice, MetalDevice, oneAPIDevice,
+                     ReactantDevice
 using ChainRules: OneElement
 
 Adapt.adapt_storage(::CPUDevice, x::OneElement) = x
 
 for dev in (CUDADevice, AMDGPUDevice, MetalDevice, oneAPIDevice, ReactantDevice,
-        CUDADevice{Nothing}, AMDGPUDevice{Nothing})
+    CUDADevice{Nothing}, AMDGPUDevice{Nothing})
     # use `@eval` to avoid ambiguity with adapt_storage(::CUDADevice, ::AbstractArray)
     @eval Adapt.adapt_storage(to::$(dev), x::OneElement) = Adapt.adapt(to, collect(x))
 end

diff --git a/lib/MLDataDevices/ext/MLDataDevicesZygoteExt.jl b/lib/MLDataDevices/ext/MLDataDevicesZygoteExt.jl
@@ -1,16 +1,16 @@
 module MLDataDevicesZygoteExt
 
 using Adapt: Adapt
-using MLDataDevices: CPUDevice, CUDADevice, AMDGPUDevice, MetalDevice, oneAPIDevice, ReactantDevice
+using MLDataDevices: CPUDevice, CUDADevice, AMDGPUDevice, MetalDevice, oneAPIDevice,
+                     ReactantDevice
 using Zygote: OneElement
 
 Adapt.adapt_storage(::CPUDevice, x::OneElement) = x
 
 for dev in (CUDADevice, AMDGPUDevice, MetalDevice, oneAPIDevice, ReactantDevice,
-        CUDADevice{Nothing}, AMDGPUDevice{Nothing})
+    CUDADevice{Nothing}, AMDGPUDevice{Nothing})
     # use `@eval` to avoid ambiguity with adapt_storage(::CUDADevice, ::AbstractArray)
     @eval Adapt.adapt_storage(to::$(dev), x::OneElement) = Adapt.adapt(to, collect(x))
 end
 
 end
-
diff --git a/lib/MLDataDevices/test/misc_tests.jl b/lib/MLDataDevices/test/misc_tests.jl
@@ -222,15 +222,15 @@ end
     @test only(Zygote.gradient(x -> sum(abs2, gdev(x)), x')) isa Matrix{Float64}
 end
 
-@testset "Zygote and ChainRules OneElement" begin
-    # Issue #1016
+@testset "Zygote and ChainRules OneElement #1016" begin
     using Zygote
+
     cpu = cpu_device()
     gpu = gpu_device()
 
-    g = Zygote.gradient(x -> cpu(2 .* gpu(x))[1], Float32[1,2,3])[1]
+    g = Zygote.gradient(x -> cpu(2 .* gpu(x))[1], Float32[1, 2, 3])[1]
     @test g isa Vector{Float32}
-    g = Zygote.gradient(x -> cpu(gpu(x) * gpu(x))[1,2], Float32[1 2 3; 4 5 6; 7 8 9])[1]
+    g = Zygote.gradient(x -> cpu(gpu(x) * gpu(x))[1, 2], Float32[1 2 3; 4 5 6; 7 8 9])[1]
     @test g isa Matrix{Float32}
 end