Daniel
9fc55c4c15
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42 lines
1.2 KiB
Julia
42 lines
1.2 KiB
Julia
using CUDA
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using .ExpressionProcessing
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using .Transpiler
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expressions = Vector{Expr}(undef, 2)
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variables = Matrix{Float64}(undef, 2,2)
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parameters = Vector{Vector{Float64}}(undef, 2)
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# Resulting value should be 10 for the first expression
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expressions[1] = :(1 + 3 * 5 / 7 - 1)
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expressions[2] = :(5 + x1 + 1 * x2 + p1 + p2)
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variables[1,1] = 2.0
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variables[2,1] = 3.0
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variables[1,2] = 0.0
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variables[2,2] = 5.0
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parameters[1] = Vector{Float64}(undef, 1)
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parameters[2] = Vector{Float64}(undef, 2)
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parameters[1][1] = 5.0
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parameters[2][1] = 5.0
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parameters[2][2] = 0.0
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@testset "Test TMP transpiler" begin
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postfixExpr = expr_to_postfix(expressions[1])
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postfixExprs = Vector([postfixExpr])
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push!(postfixExprs, expr_to_postfix(expressions[2]))
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generatedCode = Transpiler.transpile(postfixExpr)
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# CUDA.@sync interpret(postfixExprs, variables, parameters)
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# This is just here for testing. This will be called inside the execute method in the Transpiler module
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linker = CuLink()
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add_data!(linker, "ExpressionProcessing", generatedCode)
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image = complete(linker)
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mod = CuModule(image)
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func = CuFunction(mod, "ExpressionProcessing")
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end
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#TODO: test performance of transpiler PTX generation when doing "return String(take!(buffer))" vs "return take!(buffer)"
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