zeros_like
	
function defined in module 
	MLUtils
			zeros_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 0. 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 
	
			
			ones_like and 
	
			
			fill_like.
			julia> x = rand(Float32, 2)
2-element Vector{Float32}:
 0.4005432
 0.36934233
julia> zeros_like(x, (3, 3))
3×3 Matrix{Float32}:
 0.0  0.0  0.0
 0.0  0.0  0.0
 0.0  0.0  0.0
julia> using CUDA
julia> x = CUDA.rand(2, 2)
2×2 CuArray{Float32, 2, CUDA.Mem.DeviceBuffer}:
 0.0695155  0.667979
 0.558468   0.59903
julia> zeros_like(x, Float64)
2×2 CuArray{Float64, 2, CUDA.Mem.DeviceBuffer}:
 0.0  0.0
 0.0  0.0
There are
			2
			methods for MLUtils.zeros_like:
		
The following pages link back here: