ones_like
	
function defined in module 
	MLUtils
			ones_like(x, [element_type=eltype(x)], [dims=size(x)]))
			Create an array with the given element type and size, based upon the given source array 
			x. All element of the new array will be set to 1. The second and third arguments are both optional, defaulting to the given array's eltype and size. The dimensions may be specified as an integer or as a tuple argument.
			See also 
	
			
			zeros_like and 
	
			
			fill_like.
			julia> x = rand(Float32, 2)
2-element Vector{Float32}:
 0.8621633
 0.5158395
julia> ones_like(x, (3, 3))
3×3 Matrix{Float32}:
 1.0  1.0  1.0
 1.0  1.0  1.0
 1.0  1.0  1.0
julia> using CUDA
julia> x = CUDA.rand(2, 2)
2×2 CuArray{Float32, 2, CUDA.Mem.DeviceBuffer}:
 0.82297   0.656143
 0.701828  0.391335
julia> ones_like(x, Float64)
2×2 CuArray{Float64, 2, CUDA.Mem.DeviceBuffer}:
 1.0  1.0
 1.0  1.0
There are
			2
			methods for MLUtils.ones_like:
		
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