probably?

Author: ayushinav

src/fno.jl

@@ -67,4 +67,4 @@ function FourierNeuralOperator(
                        for i in 2:(C - 3)]...),
         project,
         name="FourierNeuralOperator")
-end
+end

src/layers.jl

@@ -188,4 +188,4 @@ end       # Total: 175 parameters,
 function SpectralKernel(ch::Pair{<:Integer, <:Integer}, modes::Dims{N},
         act::A=identity; kwargs...) where {N, A}
     return OperatorKernel(ch, modes, FourierTransform{ComplexF32}, act; kwargs...)
-end
+end

src/transform.jl

@@ -32,4 +32,4 @@ end
 @inline function inverse(
         ft::FourierTransform, x_fft::AbstractArray{T, N}, M::NTuple{N, Int64}) where {T, N}
     return real(irfft(x_fft, first(M), 1:ndims(ft)))
-end
+end

src/utils.jl

@@ -1,2 +1,2 @@
 # Temporarily capture certain calls like AMDGPU for ComplexFloats
-@inline __batched_mul(x, y) = x ⊠ y
+@inline __batched_mul(x, y) = x ⊠ y

test/fno_tests.jl

@@ -29,4 +29,4 @@
             end broken=broken
         end
     end
-end
+end

test/layers_tests.jl

@@ -37,4 +37,4 @@
             end broken=broken
         end
     end
-end
+end

test/qa_tests.jl

@@ -19,4 +19,4 @@ end
     @test check_no_implicit_imports(LuxNeuralOperators; skip=(Base, Core, Lux)) === nothing
     @test check_no_stale_explicit_imports(LuxNeuralOperators) === nothing
     @test check_all_qualified_accesses_via_owners(LuxNeuralOperators) === nothing
-end
+end

test/runtests.jl

@@ -1,3 +1,3 @@
 using ReTestItems
 
-ReTestItems.runtests(@__DIR__)
+ReTestItems.runtests(@__DIR__)

test/shared_testsetup.jl

@@ -60,4 +60,4 @@ export @jet, @test_gradients, check_approx
 export BACKEND_GROUP, MODES, cpu_testing, cuda_testing, amdgpu_testing, get_default_rng,
        get_stable_rng, train!
 
-end
+end