master-thesis/package/test/PerformanceTuning.jl

using CUDA
using DelimitedFiles
using GZip

using .Transpiler
using .Interpreter

include("parser.jl") # to parse expressions from a file


data,varnames = readdlm("data/nikuradse_1.csv", ',', header=true);
X = permutedims(convert(Matrix{Float32}, data))

exprs = Expr[]
parameters = Vector{Vector{Float32}}()
varnames = ["x$i" for i in 1:10]
paramnames = ["p$i" for i in 1:20]
# data/esr_nvar2_len10.txt.gz_9.txt.gz has  ~250_000 exprs
# data/esr_nvar2_len10.txt.gz_10.txt.gz has ~800_000 exrps
GZip.open("data/esr_nvar2_len10.txt.gz_3.txt.gz") do io 
	for line in eachline(io)
		expr, p = parse_infix(line, varnames, paramnames)

		push!(exprs, expr)
		push!(parameters, randn(Float32, length(p)))
	end
end
expr_reps = 1


@testset "Interpreter Tuning" begin
    # CUDA.@profile interpret_gpu(exprs, X, parameters; repetitions=expr_reps)
end


@testset "Transpiler Tuning" begin
    CUDA.@profile evaluate_gpu(exprs, X, parameters; repetitions=expr_reps)
end