updated all to 32-bit to save registers and boost performance

package/src/ExpressionExecutorCuda.jl

@@ -6,8 +6,6 @@ export interpret_gpu
 export evaluate_gpu
 export test
 
-# const SymbolTable64 = Dict{Tuple{Expr, Symbol},Float64}
-#
 # Some assertions:
 # Variables and parameters start their naming with "1" meaning the first variable/parameter has to be "x1/p1" and not "x0/p0"
 # each index i in exprs has to have the matching values in the column i in Matrix X so that X[:,i] contains the values for expr[i]. The same goes for p
@@ -15,22 +13,14 @@ export test
 #
 
 # Evaluate Expressions on the GPU
-function interpret_gpu(exprs::Vector{Expr}, X::Matrix{Float64}, p::Vector{Vector{Float64}})::Matrix{Float64}
+function interpret_gpu(exprs::Vector{Expr}, X::Matrix{Float32}, p::Vector{Vector{Float32}})::Matrix{Float32}
 	# Ensure that no two expressions are interpreted in the same "warp"
 	exprsPostfix = ExpressionProcessing.expr_to_postfix(exprs[1])
 end
 
 # Convert Expressions to PTX Code and execute that instead
-function evaluate_gpu(exprs::Vector{Expr}, X::Matrix{Float64}, p::Vector{Vector{Float64}})::Matrix{Float64}
-	# Look into this to maybe speed up PTX generation: https://cuda.juliagpu.org/stable/tutorials/introduction/#Parallelization-on-the-CPU
-end
-
-
-# TODO: See if it is feasible to make 32 versions too (mostly because 32 is significantly faster than 64)
-# If AMD GPU support gets added, it might even be a good idea to add 16 bit floats, since they are even faster than 32 bit. On Nvidia 16 is either slower or equal in performance to 32 bit
-function interpret_gpu(exprs::Vector{Expr}, X::Matrix{Float32}, p::Vector{Vector{Float32}})::Matrix{Float32}
-end
 function evaluate_gpu(exprs::Vector{Expr}, X::Matrix{Float32}, p::Vector{Vector{Float32}})::Matrix{Float32}
+	# Look into this to maybe speed up PTX generation: https://cuda.juliagpu.org/stable/tutorials/introduction/#Parallelization-on-the-CPU
 end
 
 end
@@ -45,4 +35,4 @@ end
 # 
 # The following can be done on the CPU
 #     convert expression to postfix notation (mandatory)
-#     replace every variable with the according value from X and p (reduce extensive memory access on the GPU)
+#     optional: replace every parameter with the correct value (should only improve performance if data transfer is the bottleneck)

package/src/ExpressionProcessing.jl

@@ -3,20 +3,23 @@ module ExpressionProcessing
 export expr_to_postfix
 export PostfixType
 export Operator, ADD, SUBTRACT, MULTIPLY, DIVIDE, POWER, ABS, LOG, EXP, SQRT
-export ElementType, EMPTY, FLOAT64, OPERATOR, INDEX
+export ElementType, EMPTY, FLOAT32, OPERATOR, INDEX
 export ExpressionElement
 
-@enum Operator::Int64 ADD=1 SUBTRACT=2 MULTIPLY=3 DIVIDE=4 POWER=5 ABS=6 LOG=7 EXP=8 SQRT=9
-@enum ElementType EMPTY=0 FLOAT64=1 OPERATOR=2 INDEX=3
+@enum Operator ADD=1 SUBTRACT=2 MULTIPLY=3 DIVIDE=4 POWER=5 ABS=6 LOG=7 EXP=8 SQRT=9
+@enum ElementType EMPTY=0 FLOAT32=1 OPERATOR=2 INDEX=3
 
 struct ExpressionElement
 	Type::ElementType
-	Value::Int64 # Reinterpret the stored value to type "ElementType" when using it
+	Value::Int32 # Reinterpret the stored value to type "ElementType" when using it
 end
 
 const PostfixType = Vector{ExpressionElement}
 
-"Converts a julia expression to its postfix notation"
+"
+Converts a julia expression to its postfix notation.
+NOTE: All 64-Bit values will be converted to 32-Bit. Be aware of the lost precision
+"
 function expr_to_postfix(expr::Expr)::PostfixType
 	postfix = PostfixType()
 	operator = get_operator(expr.args[1])
@@ -30,7 +33,7 @@ function expr_to_postfix(expr::Expr)::PostfixType
 			exprElement = convert_to_ExpressionElement(convert_var_to_int(arg))
 			push!(postfix, exprElement)
 		else
-			exprElement = convert_to_ExpressionElement(convert(Float64, arg))
+			exprElement = convert_to_ExpressionElement(convert(Float32, arg))
 			push!(postfix, exprElement)
 		end
 
@@ -73,7 +76,7 @@ end
 "Extracts the number from a variable/parameter and returns it. If the symbol is a parameter ```pn```, the resulting value will be negativ.
 
 ```x0 and p0``` are not allowed."
-function convert_var_to_int(var::Symbol)::Int
+function convert_var_to_int(var::Symbol)::Int32
 	varStr = String(var)
 	number = parse(Int32, SubString(varStr, 2))
 
@@ -84,33 +87,39 @@ function convert_var_to_int(var::Symbol)::Int
 	return number
 end
 
-function convert_to_ExpressionElement(element)::ExpressionElement
-	value = reinterpret(Int64, element)
-	if element isa Float64
-		return ExpressionElement(FLOAT64, value)
-	elseif element isa Int64
-		return ExpressionElement(INDEX, value)
-	elseif element isa Operator
-		return ExpressionElement(OPERATOR, value)
-	else
-		error("Element was of type '$(typeof(element))', which is not supported.")
-	end
+function convert_to_ExpressionElement(element::Int32)::ExpressionElement
+	value = reinterpret(Int32, element)
+	return ExpressionElement(INDEX, value)
+end
+function convert_to_ExpressionElement(element::Int64)::ExpressionElement
+	value = reinterpret(Int32, convert(Int32, element))
+	return ExpressionElement(INDEX, value)
+end
+function convert_to_ExpressionElement(element::Float32)::ExpressionElement
+	value = reinterpret(Int32, element)
+	return ExpressionElement(FLOAT32, value)
+end
+function convert_to_ExpressionElement(element::Float64)::ExpressionElement
+	value = reinterpret(Int32, convert(Float32, element))
+	return ExpressionElement(FLOAT32, value)
+end
+function convert_to_ExpressionElement(element::Operator)::ExpressionElement
+	value = reinterpret(Int32, element)
+	return ExpressionElement(OPERATOR, value)
 end
-
-
 
 #
 # Everything below is currently not needed. Left here for potential future use
 #
 
-const SymbolTable64 = Dict{Tuple{Expr, Symbol},Float64}
+const SymbolTable32 = Dict{Tuple{Expr, Symbol},Float32}
 
 "Replaces all the variables and parameters of the given expression with their corresponding Value stored in the symtable
 # Arguments
- - `symtable::SymbolTable64`: Contains the values of all variables for each expression
+ - `symtable::SymbolTable32`: Contains the values of all variables for each expression
  - `originalExpr::Expr`: Contains a deep copy of the original expression. It is used to link the expression and variables to their according Value stored in the symtable
 "
-function replace_variables!(ex::Expr, symtable::SymbolTable64, originalExpr::Expr)
+function replace_variables!(ex::Expr, symtable::SymbolTable32, originalExpr::Expr)
 	for i in 1:length(ex.args)
 		arg = ex.args[i]
 		if typeof(arg) === Expr
@@ -123,8 +132,8 @@ end
 
 # TODO: Completly rewrite this function because I misunderstood it. Not every column is linked to an expression. therefore all other functions need to be reworked as well. Probably can't replace the variables in julia anymore, look into this. (see ExpressionExecutorCuda.jl for more info)
 #       Before rewriting, proceed with just creating a postfix notation and sending the variable matrix as well as the parameter "matrix" to the GPU to perform first calculations
-function construct_symtable(expressions::Vector{Expr}, mat::Matrix{Float64}, params::Vector{Vector{Float64}})::SymbolTable64
-	symtable = SymbolTable64()
+function construct_symtable(expressions::Vector{Expr}, mat::Matrix{Float32}, params::Vector{Vector{Float32}})::SymbolTable32
+	symtable = SymbolTable32()
 
 	for i in eachindex(expressions)
 		expr = expressions[i]
@@ -138,7 +147,7 @@ function construct_symtable(expressions::Vector{Expr}, mat::Matrix{Float64}, par
 	return symtable
 end
 
-function fill_symtable!(expr::Expr, symtable::SymbolTable64, values::Vector{Float64}, symbolPrefix::String)
+function fill_symtable!(expr::Expr, symtable::SymbolTable32, values::Vector{Float32}, symbolPrefix::String)
 	varIndex = 1
 	for j in eachindex(values)
 		val = values[j]

package/src/Interpreter.jl

@@ -8,19 +8,19 @@ export interpret
 "Interprets the given expressions with the values provided.
 # Arguments
  - expressions::Vector{ExpressionProcessing.PostfixType} : The expressions to execute in postfix form
- - variables::Matrix{Float64} : The variables to use. Each column is mapped to the variables x1..xn
- - parameters::Vector{Vector{Float64}} : The parameters to use. Each Vector contains the values for the parameters p1..pn. The number of parameters can be different for every expression
+ - variables::Matrix{Float32} : The variables to use. Each column is mapped to the variables x1..xn
+ - parameters::Vector{Vector{Float32}} : The parameters to use. Each Vector contains the values for the parameters p1..pn. The number of parameters can be different for every expression
 "
-function interpret(expressions::Vector{ExpressionProcessing.PostfixType}, variables::Matrix{Float64}, parameters::Vector{Vector{Float64}})::Matrix{Float64}
+function interpret(expressions::Vector{ExpressionProcessing.PostfixType}, variables::Matrix{Float32}, parameters::Vector{Vector{Float32}})::Matrix{Float32}
 	variableCols = size(variables, 2) # number of sets of variables to use for each expression
 	cudaVars = CuArray(variables)
-	cudaParams = create_cuda_array(parameters, NaN64) # column corresponds to data for one expression
+	cudaParams = create_cuda_array(parameters, NaN32) # column corresponds to data for one expression
 	cudaExprs = create_cuda_array(expressions, ExpressionElement(EMPTY, 0)) # column corresponds to data for one expression
 	# put into seperate cuArray, as this is static and would be inefficient to send seperatly to every kernel
 	cudaStepsize = CuArray([get_max_inner_length(expressions), get_max_inner_length(parameters), size(variables, 1)]) # max num of values per expression; max nam of parameters per expression; number of variables per expression
 
 	# each expression has nr. of variable sets (nr. of columns of the variables) results and there are n expressions
-	cudaResults = CuArray{Float64}(undef, variableCols, length(expressions))
+	cudaResults = CuArray{Float32}(undef, variableCols, length(expressions))
 
 	# Start kernel for each expression to ensure that no warp is working on different expressions
 	for i in eachindex(expressions)
@@ -37,7 +37,7 @@ end
 
 #TODO: Add @inbounds to all indexing after it is verified that all works https://cuda.juliagpu.org/stable/development/kernel/#Bounds-checking
 const MAX_STACK_SIZE = 25 # The max number of values the expression can have. so Constant values, Variables and parameters
-function interpret_expression(expressions::CuDeviceArray{ExpressionElement}, variables::CuDeviceArray{Float64}, parameters::CuDeviceArray{Float64}, results::CuDeviceArray{Float64}, stepsize::CuDeviceArray{Int}, exprIndex::Int)
+function interpret_expression(expressions::CuDeviceArray{ExpressionElement}, variables::CuDeviceArray{Float32}, parameters::CuDeviceArray{Float32}, results::CuDeviceArray{Float32}, stepsize::CuDeviceArray{Int}, exprIndex::Int)
 	index = (blockIdx().x - 1) * blockDim().x + threadIdx().x # ctaid.x * ntid.x + tid.x
 	stride = gridDim().x * blockDim().x # nctaid.x * ntid.x
 	
@@ -46,7 +46,7 @@ function interpret_expression(expressions::CuDeviceArray{ExpressionElement}, var
 	firstParamIndex = ((exprIndex - 1) * stepsize[2]) # Exclusive
 	variableCols = length(variables) / stepsize[3]
 
-	operationStack = MVector{MAX_STACK_SIZE, Float64}(undef) # Try to get this to function with variable size too, to allow better memory usage
+	operationStack = MVector{MAX_STACK_SIZE, Float32}(undef) # Try to get this to function with variable size too, to allow better memory usage
 	operationStackTop = 0 # stores index of the last defined/valid value
 	
 	for varSetIndex in index:stride
@@ -65,9 +65,9 @@ function interpret_expression(expressions::CuDeviceArray{ExpressionElement}, var
 					val = -val
 					operationStack[operationStackTop] = parameters[firstParamIndex + val]
 				end
-			elseif expressions[i].Type == FLOAT64
+			elseif expressions[i].Type == FLOAT32
 				operationStackTop += 1
-				operationStack[operationStackTop] = reinterpret(Float64, expressions[i].Value)
+				operationStack[operationStackTop] = reinterpret(Float32, expressions[i].Value)
 			elseif expressions[i].Type == OPERATOR
 				type = reinterpret(Operator, expressions[i].Value)
 				if type == ADD

package/src/Transpiler.jl

@@ -106,11 +106,11 @@ function transpile(expression::ExpressionProcessing.PostfixType)::String
 	ptxBuffer = IOBuffer()
 
 	println(ptxBuffer, get_cuda_header())
-	println(ptxBuffer, get_kernel_signature("ExpressionProcessing", [Int64, Float64]))
+	println(ptxBuffer, get_kernel_signature("ExpressionProcessing", [Int32, Float32]))
 	println(ptxBuffer, "{")
 
 	# TODO: Actually calculate the number of needed registers and extend to more register kinds
-	println(ptxBuffer, get_register_definitions(1, 5, 1))  # apparently I can define registers anywhere. This might make things easier
+	println(ptxBuffer, get_register_definitions(1, 5, 0))  # apparently I can define registers anywhere. This might make things easier
 	# TODO: Parameter loading
 	println(ptxBuffer, get_guard_clause())
 
@@ -120,7 +120,9 @@ function transpile(expression::ExpressionProcessing.PostfixType)::String
 	# Variables have: %var0 to %varn - 1
 	# Parameters have: %param0 to %paramn - 1
 	# Code goes here
-	println(ptxBuffer, generate_calculation_code(expression))
+	(calc_code, fRegisterCount) = generate_calculation_code(expression)
+	println(ptxBuffer, get_register_definitions(0, 0, fRegisterCount))
+	println(ptxBuffer, calc_code)
 
 	# exit jump location
 	print(ptxBuffer, exitJumpLocationMarker); println(ptxBuffer, ": ret;")
@@ -184,7 +186,8 @@ function get_guard_clause()::String
 	return String(take!(guardBuffer))
 end
 
-function get_register_definitions(nrPred::Int, nr32Bit::Int, nrFloat64::Int)::String
+# TODO: refactor this for better usage. Maybe make this generate only one register definition and pass in the details
+function get_register_definitions(nrPred::Int, nr32Bit::Int, nrFloat32::Int)::String
 	registersBuffer = IOBuffer()
 
 	if nrPred > 0
@@ -193,8 +196,8 @@ function get_register_definitions(nrPred::Int, nr32Bit::Int, nrFloat64::Int)::St
 	if nr32Bit > 0
 		println(registersBuffer, ".reg .b32    %r<$nr32Bit>;")
 	end
-	if nrFloat64 > 0
-		println(registersBuffer, ".reg .f64    %f<$nrFloat64>;")
+	if nrFloat32 > 0
+		println(registersBuffer, ".reg .f32    %f<$nrFloat32>;")
 	end
 
 	return String(take!(registersBuffer))
@@ -205,38 +208,41 @@ end
 # Probably do this: Get Expr -> traverse tree -> if child node is Expr: basically replace that node with the register containing the result of that Expr
 
 # Current assumption: Expression only made out of constant values
-function generate_calculation_code(expression::ExpressionProcessing.PostfixType)::String
+function generate_calculation_code(expression::ExpressionProcessing.PostfixType)::Tuple{String, Int}
 	codeBuffer = IOBuffer()
-	operands = Vector{Float64}()
+	operands = Vector{Union{Float32, String}}() # Maybe make it of type ANY. Then I could put the register name "on the stack" instead and build up the code like that. Could also make it easier implementing variables/params
 
 	registerCounter = 0
 	println(expression)
 	for i in eachindex(expression)
 		token = expression[i]
 
-		if token.Type == FLOAT64
-			push!(operands, reinterpret(Float64, token.Value))
+		if token.Type == FLOAT32
+			push!(operands, reinterpret(Float32, token.Value))
 		elseif token.Type == OPERATOR
 			operator = get_ptx_operator(reinterpret(Operator, token.Value))
-			print(codeBuffer, "    $operator %f$registerCounter ")
+			register = "%f$registerCounter"
+			print(codeBuffer, "    $operator $register, ")
 
 			# Ugly temporary proof of concept which is ignoring unary operators
-			if length(operands) == 0
-				print(codeBuffer, "%f")
-				print(codeBuffer, registerCounter - 2) # add result before previous result
-			end
-			print(codeBuffer, " ")
-			if length(operands) <= 1
-				print(codeBuffer, "%f")
-				print(codeBuffer, registerCounter - 1) # add previous result
-			end
-			print(codeBuffer, " ")
+			# if length(operands) == 0
+			# 	print(codeBuffer, "%f")
+			# 	print(codeBuffer, registerCounter - 2) # add result before previous result
+			# end
+			# print(codeBuffer, " ")
+			# if length(operands) <= 1
+			# 	print(codeBuffer, "%f")
+			# 	print(codeBuffer, registerCounter - 1) # add previous result
+			# end
+			# print(codeBuffer, " ")
 
 			ops = last(operands, 2)
 			pop!(operands);pop!(operands)
 			print(codeBuffer, join(ops, ", ")) # if operands has too few values it means the previous calculation is needed. So we need to use registerCounter - 1 or registerCounter - 2 previous registers
 			println(codeBuffer, ";")
+
 			# empty!(operands)
+			push!(operands, register)
 			registerCounter += 1
 		end
 		
@@ -247,14 +253,14 @@ function generate_calculation_code(expression::ExpressionProcessing.PostfixType)
 		# on all other operations either 1 or 2 (one if unary and two if binary operator)
 	end
 
-	return String(take!(codeBuffer))
+	return (String(take!(codeBuffer)), registerCounter)
 end
 
 function type_to_ptx_type(type::DataType)::String
 	if type == Int64
 		return ".s64"
-	elseif type == Float64
-		return ".f64"
+	elseif type == Float32
+		return ".f32"
 	else
 		return ".b64"
 	end
@@ -264,23 +270,23 @@ end
 # Left out for now since I don't have register management yet
 function get_ptx_operator(operator::Operator)::String
 	if operator == ADD
-		return "add.f64"
+		return "add.f32"
 	elseif operator == SUBTRACT
-		return "sub.f64"
+		return "sub.f32"
 	elseif operator == MULTIPLY
-		return "mul.f64"
+		return "mul.f32"
 	elseif operator == DIVIDE
-		return "div.approx.f64"
+		return "div.approx.f32"
 	elseif operator == POWER
 		return ""
 	elseif operator == ABS
-		return "abs.f64"
+		return "abs.f32"
 	elseif operator == LOG
-		return "lg2.approx.f64"
+		return "lg2.approx.f32"
 	elseif operator == EXP
 		return ""
 	elseif operator == SQRT
-		return "sqrt.approx.f64"
+		return "sqrt.approx.f32"
 	else
 		throw(ArgumentError("Operator conversion to ptx not implemented for $operator"))
 	end

package/test/ExpressionProcessingTests.jl

@@ -1,20 +1,20 @@
 using .ExpressionProcessing
 
 expressions = Vector{Expr}(undef, 1)
-variables = Matrix{Float64}(undef, 1,2)
-parameters = Vector{Vector{Float64}}(undef, 1)
+variables = Matrix{Float32}(undef, 1,2)
+parameters = Vector{Vector{Float32}}(undef, 1)
 
 # Resulting value should be 10
 expressions[1] = :(x1 + 1 * x2 + p1)
 variables[1,1] = 2
 variables[1,2] = 3
-parameters[1] = Vector{Float64}(undef, 1)
+parameters[1] = Vector{Float32}(undef, 1)
 parameters[1][1] = 5
 
 @testset "Test conversion expression element" begin
-	reference1 = ExpressionElement(FLOAT64, reinterpret(Int64, 1.0))
-	reference2 = ExpressionElement(INDEX, reinterpret(Int64, 1))
-	reference3 = ExpressionElement(OPERATOR, reinterpret(Int64, ADD))
+	reference1 = ExpressionElement(FLOAT32, reinterpret(Int32, 1f0))
+	reference2 = ExpressionElement(INDEX, reinterpret(Int32, Int32(1)))
+	reference3 = ExpressionElement(OPERATOR, reinterpret(Int32, ADD))
 	
 	@test isequal(reference1, ExpressionProcessing.convert_to_ExpressionElement(1.0))
 	@test isequal(reference2, ExpressionProcessing.convert_to_ExpressionElement(1))

package/test/InterpreterTests.jl

@@ -3,8 +3,8 @@ using .ExpressionProcessing
 using .Interpreter
 
 expressions = Vector{Expr}(undef, 2)
-variables = Matrix{Float64}(undef, 2,2)
-parameters = Vector{Vector{Float64}}(undef, 2)
+variables = Matrix{Float32}(undef, 2,2)
+parameters = Vector{Vector{Float32}}(undef, 2)
 
 # Resulting value should be 10 for the first expression
 expressions[1] = :(x1 + 1 * x2 + p1)
@@ -13,34 +13,36 @@ variables[1,1] = 2.0
 variables[2,1] = 3.0
 variables[1,2] = 0.0
 variables[2,2] = 5.0
-parameters[1] = Vector{Float64}(undef, 1)
-parameters[2] = Vector{Float64}(undef, 2)
+parameters[1] = Vector{Float32}(undef, 1)
+parameters[2] = Vector{Float32}(undef, 2)
 parameters[1][1] = 5.0
 parameters[2][1] = 5.0
 parameters[2][2] = 0.0
 
-function testHelper(expression::Expr, variables::Matrix{Float64}, parameters::Vector{Vector{Float64}}, expectedResult::Float64)
+function testHelper(expression::Expr, variables::Matrix{Float32}, parameters::Vector{Vector{Float32}}, expectedResult)
 	postfix = Vector([expr_to_postfix(expression)])
 	result = Interpreter.interpret(postfix, variables, parameters)
-	@test isequal(result[1,1], expectedResult)
+
+	expectedResult32 = convert(Float32, expectedResult)
+	@test isequal(result[1,1], expectedResult32)
 end
 
 @testset "Test conversion to matrix" begin
-	reference = Matrix{Float64}(undef, 2, 2)
+	reference = Matrix{Float32}(undef, 2, 2)
 	reference[1,1] = 5.0
-	reference[2,1] = NaN64
+	reference[2,1] = NaN32
 	reference[1,2] = 5.0
 	reference[2,2] = 0.0
 	# reference = Matrix([5.0, NaN],
 	# 				   [5.0, 0.0])
-	result = Interpreter.convert_to_matrix(parameters, NaN64)
+	result = Interpreter.convert_to_matrix(parameters, NaN32)
 
 	@test isequal(result, reference)
 end
 
 @testset "Test commutative interpretation" begin
-	var = Matrix{Float64}(undef, 2, 1)
-	param = Vector{Vector{Float64}}(undef, 1)
+	var = Matrix{Float32}(undef, 2, 1)
+	param = Vector{Vector{Float32}}(undef, 1)
 	expectedResult = 8.0 # Not using "eval" because the variables are not stored in global scope
 	
 	var[1,1] = 3.0
@@ -59,8 +61,8 @@ end
 end
 
 @testset "Test non commutative interpretation" begin
-	var = Matrix{Float64}(undef, 2, 1)
-	param = Vector{Vector{Float64}}(undef, 1)
+	var = Matrix{Float32}(undef, 2, 1)
+	param = Vector{Vector{Float32}}(undef, 1)
 	expectedResult = -2.0 # Not using "eval" because the variables are not stored in global scope
 	
 	var[1,1] = 3.0
@@ -89,8 +91,8 @@ end
 end
 
 @testset "Test single value operator interpretation" begin
-	var = Matrix{Float64}(undef, 1, 1)
-	param = Vector{Vector{Float64}}(undef, 1)
+	var = Matrix{Float32}(undef, 1, 1)
+	param = Vector{Vector{Float32}}(undef, 1)
 	expectedResult = 3.0 # Not using "eval" because the variables are not stored in global scope
 	
 	var[1,1] = -3.0
@@ -108,8 +110,8 @@ end
 end
 
 @testset "Test complex expressions" begin
-	var = Matrix{Float64}(undef, 2, 2)
-	param = Vector{Vector{Float64}}(undef, 2)
+	var = Matrix{Float32}(undef, 2, 2)
+	param = Vector{Vector{Float32}}(undef, 2)
 	
 	# var set 1
 	var[1,1] = 3.0

package/test/TranspilerTests.jl

@@ -3,8 +3,8 @@ using .ExpressionProcessing
 using .Transpiler
 
 expressions = Vector{Expr}(undef, 2)
-variables = Matrix{Float64}(undef, 2,2)
-parameters = Vector{Vector{Float64}}(undef, 2)
+variables = Matrix{Float32}(undef, 2,2)
+parameters = Vector{Vector{Float32}}(undef, 2)
 
 # Resulting value should be 10 for the first expression
 expressions[1] = :(1 + 3 * 5 / 7 - 1)
@@ -13,8 +13,8 @@ variables[1,1] = 2.0
 variables[2,1] = 3.0
 variables[1,2] = 0.0
 variables[2,2] = 5.0
-parameters[1] = Vector{Float64}(undef, 1)
-parameters[2] = Vector{Float64}(undef, 2)
+parameters[1] = Vector{Float32}(undef, 1)
+parameters[2] = Vector{Float32}(undef, 2)
 parameters[1][1] = 5.0
 parameters[2][1] = 5.0
 parameters[2][2] = 0.0