From 62d10845e99a67282fbe05ce28ee2b31279e30eb Mon Sep 17 00:00:00 2001
From: Daniel <danwip@hotmail.com>
Date: Thu, 8 Aug 2024 12:06:42 +0200
Subject: [PATCH] added operators to the interpreter. storing result still
 missing

---
 README.md                        |   4 +-
 images/input-explanation.png     | Bin 116504 -> 155674 bytes
 other/input-explanation.drawio   | 175 ++++++++++++++++++++++++-------
 package/src/Interpreter.jl       |  89 +++++++++-------
 package/test/InterpreterTests.jl |   6 +-
 5 files changed, 195 insertions(+), 79 deletions(-)

diff --git a/README.md b/README.md
index 87cc1a9..620758c 100644
--- a/README.md
+++ b/README.md
@@ -5,9 +5,9 @@ Input:
  - Matrix for the variables of the expression (x1..xn) ```variables::Matrix{Float64}```
  - Vector of Vectors for the parameters of the expression (p1..pn) ```parameters::Vector{Vector{Float64}}```
 
-All expressions have to have the same number of variables. They do not need to appear in the same spot, they only need to be labled x1 through xn. However, they can have a different number of parameters. These can also appear at any given point and must be labled p1 through pn.
+All expressions have to have the same number of variables. They do not need to appear in the same spot, they only need to be labled x1 through xn. However, they can have a different number of parameters. These can also appear at any given point and must be labled p1 through pn. Parameters and variables can not have the label x0 or p0.
 
-The Matrix has to be in a form, where each column corresponds to a variable. So the i-th column corresponds to the variable xi. Each row is another set of variables to use for an expression. For each expression, every row is used to calculate a result.
+The Matrix is being read in column-major order. This means that each column corresponds to a set of variables to use for the expressions. Row 1 through row n are then used to retrieve the values for x1 through xn.
 
 Every inner vector of the parameters corresponds to an expression. So the i-th inner vector stores the parameter values for the i-th expression. Parameter pi corresponds to the value stored at index i of the inner vector.
 
diff --git a/images/input-explanation.png b/images/input-explanation.png
index 9d20a0b27b0e42302562919f6553376ad07fd7af..700b32bfc1708e2063332b10493b3d94a9dc3068 100644
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diff --git a/other/input-explanation.drawio b/other/input-explanation.drawio
index f4987ae..105d021 100644
--- a/other/input-explanation.drawio
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+        </mxCell>
+        <mxCell id="9og6d5YY-6gPx96OlZrF-17" value="Expression 1 through Expression n" style="text;html=1;align=center;verticalAlign=middle;whiteSpace=wrap;rounded=0;" vertex="1" parent="1">
+          <mxGeometry x="727" y="832" width="230" height="30" as="geometry" />
+        </mxCell>
       </root>
     </mxGraphModel>
   </diagram>
diff --git a/package/src/Interpreter.jl b/package/src/Interpreter.jl
index 648bc23..604bff8 100644
--- a/package/src/Interpreter.jl
+++ b/package/src/Interpreter.jl
@@ -12,80 +12,94 @@ export interpret
  - 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
 "
 function interpret(expressions::Vector{ExpressionProcessing.PostfixType}, variables::Matrix{Float64}, parameters::Vector{Vector{Float64}})
-	# TODO: 
-	#      create CUDA array for calculation results
-
-	variableRows = size(variables, 1)
+	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
 	cudaExprs = create_cuda_array(expressions, ExpressionElement(EMPTY, 0)) # column corresponds to data for one expression
-	cudaStepsize = CuArray([get_max_inner_length(expressions), get_max_inner_length(parameters)]) # put into seperate cuArray, as this is static and would be inefficient to send seperatly to every kernel
+	# 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, length(expressions), variableCols)
 
 	# Start kernel for each expression to ensure that no warp is working on different expressions
 	for i in eachindex(expressions)
-		kernel = @cuda launch=false interpret_expression(cudaExprs, cudaVars, cudaParams, cudaStepsize, i)
+		kernel = @cuda launch=false interpret_expression(cudaExprs, cudaVars, cudaParams, cudaResults, cudaStepsize, i)
 		config = launch_configuration(kernel.fun)
-		threads = min(variableRows, config.threads)
-		blocks = cld(variableRows, threads)
+		threads = min(variableCols, config.threads)
+		blocks = cld(variableCols, threads)
 
-		# TODO: Operation stack should be n-dims. nr. of Rows == length of this expression
-		#       nr. of columns == nr. of rows in Vars
-		#       This means every run with different variable set has its own stack
-		# cudaOperationStack = CuArray{Float64}(undef, get_max_inner_length(expressions), length(expressions))
-
-		kernel(cudaExprs, cudaVars, cudaParams, cudaStepsize, i; threads, blocks)
+		kernel(cudaExprs, cudaVars, cudaParams, cudaResults, cudaStepsize, i; threads, blocks)
 	end
 end
 
 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}, stepsize::CuDeviceArray{Int}, exprIndex::Int)
+function interpret_expression(expressions::CuDeviceArray{ExpressionElement}, variables::CuDeviceArray{Float64}, parameters::CuDeviceArray{Float64}, results::CuDeviceArray{Float64}, stepsize::CuDeviceArray{Int}, exprIndex::Int)
 	firstExprIndex = ((exprIndex - 1) * stepsize[1]) + 1 # Inclusive
 	lastExprIndex = firstExprIndex + stepsize[1] - 1 # Inclusive
 	firstParamIndex = ((exprIndex - 1) * stepsize[2]) # Exclusive
 	# lastParamIndex = firstParamIndex + stepsize[2] - 1 # Inclusive (probably not needed)
-	operationStack = MVector{MAX_STACK_SIZE, Float64}(undef) # Vector{Float64}(undef, MAX_STACK_SIZE) # Try to get this to function with variable size too
-	operationStackTop = 1
 	
-	for i in reverse(firstExprIndex:lastExprIndex) # Calculate real "lastExprIndex"
-		if expressions[i].Type != EMPTY
-			lastExprIndex = i
-			break
-		end
-	end
-
-	for i in 1:5
-		@cuprintln(variables[i])
-	end
+	variableCols = length(variables) / stepsize[3]
+	firstVariableIndex = ((exprIndex - 1) * stepsize[3]) # Exclusive # TODO: This is obviously not right because each expression calculates the cudaResults for each variable set and therefore needs to incorporate the block index + stride. This is only done for testing
+	firstResultsIndex = ((exprIndex - 1) * variableCols) + 1 # Inclusive # TODO: Same as above. to get the index of the variable set and therefore the index in the results matrix, use the block index and stride
 
+	operationStack = MVector{MAX_STACK_SIZE, Float64}(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
+	
+	# TODO: Look into Index and stride for the case that one thread handles multiple "variable sets"
 	return
-	
+
 	for i in firstExprIndex:lastExprIndex
 		if expressions[i].Type == EMPTY
 			break
 		elseif expressions[i].Type == INDEX
-			# TODO: Load value from variables/parameters matrix and store for calculation
 			val = expressions[i].Value
+			operationStackTop += 1
 
 			if val > 0
-				# TODO: access variables
+				operationStack[operationStackTop] = variables[firstVariableIndex + val]
 			else
 				val = abs(val)
 				operationStack[operationStackTop] = parameters[firstParamIndex + val]
 			end
-			operationStackTop += 1
 		elseif expressions[i].Type == FLOAT64
-			operationStack[operationStackTop] = expressions[i].Value
 			operationStackTop += 1
+			operationStack[operationStackTop] = reinterpret(Float64, expressions[i].Value)
 		elseif expressions[i].Type == OPERATOR
-			# TODO: Perform calculation of the stored values. Either 1 or 2, depending on the operator
-			continue
+			# TODO Maybe put this in seperate function 
+			type = expressions[i].Type
+			if type == ADD
+				operationStackTop -= 1
+				operationStack[operationStackTop] = operationStack[operationStackTop] + operationStack[operationStackTop + 1]
+			elseif type == SUBTRACT
+				operationStackTop -= 1
+				operationStack[operationStackTop] = operationStack[operationStackTop] - operationStack[operationStackTop + 1]
+			elseif type == MULTIPLY
+				operationStackTop -= 1
+				operationStack[operationStackTop] = operationStack[operationStackTop] * operationStack[operationStackTop + 1]
+			elseif type == DIVIDE
+				operationStackTop -= 1
+				operationStack[operationStackTop] = operationStack[operationStackTop] / operationStack[operationStackTop + 1]
+			elseif type == POWER
+				operationStackTop -= 1
+				operationStack[operationStackTop] = operationStack[operationStackTop] ^ operationStack[operationStackTop + 1]
+			elseif type == ABS
+				operationStack[operationStackTop] = abs(operationStack[operationStackTop])
+			elseif type == LOG
+				operationStack[operationStackTop] = log(operationStack[operationStackTop])
+			elseif type == EXP
+				operationStack[operationStackTop] = exp(operationStack[operationStackTop])
+			elseif type == SQRT
+				operationStack[operationStackTop] = sqrt(operationStack[operationStackTop])
+			end
 		else
-			# TODO: handle this case. Should not happen but in case it does, it needs to do something
-			continue
+			operationStack[operationStackTop] = NaN
+			break
 		end
 	end
 
-	# TODO: Store computed value in output matrix
+	# results[] = operationStack[operationStackTop]
 	return
 end
 
@@ -131,7 +145,6 @@ end
 
 
 
-# @deprecate InterpretExplicit!(op::Operator, x, y) interpret_expression(expression, variables, parameters, exprIndex::Int)
 # Kernel
 function InterpretExplicit!(op::Operator, x, y)
 	index = (blockIdx().x - 1) * blockDim().x + threadIdx().x
diff --git a/package/test/InterpreterTests.jl b/package/test/InterpreterTests.jl
index 12914fe..0b5bcef 100644
--- a/package/test/InterpreterTests.jl
+++ b/package/test/InterpreterTests.jl
@@ -39,4 +39,8 @@ end
 	result = Interpreter.convert_to_matrix(parameters, NaN64)
 
 	@test isequal(result, reference)
-end
\ No newline at end of file
+end
+
+# TODO: Add several tests fo the mathematical expressions
+#       One test for each operator. A second test if the operation order matters
+#       And some more complicated expressions, with some only having variables, some only having parameters and some having both
\ No newline at end of file