Nothing
R/cppDefs_ADtools.R
In nimble: MCMC, Particle Filtering, and Programmable Hierarchical Modeling
Defines functions
makeCopyingCodeBlock
makeCalcTotalLengthBlock
makeADargumentTransferFunction2
addADinfoObjects
makeADtapingFunction2
make_deriv_function
makeTypeTemplateFunction
symbolTable2templateTypeSymbolTable
cppVarSym2templateTypeCppVarSym
#' create an ADproxyModelClass object
#'
#' create an ADproxyModelClass object. For internal use.
#'
#' @param Rmodel The name of an uncompiled model
#'
#' @author NIMBLE development team
#'
#' @details This is a proxy model for model_AD. The class needs just enough pieces to be used like a model for purposes of nodeFunction compilation. The model will contain an ADproxyModel and then the nodeFunction setup code will extract it. The model interface will population the proxy model's CobjectInterface
#'
#' @export ADproxyModelClass
#' @exportClass ADproxyModelClass
ADproxyModelClass <- setRefClass(
'ADproxyModelClass',
fields = list(
CobjectInterface = 'ANY' ## needs .basePtr
, model = 'ANY'
),
methods = list(
getVarInfo = function(...) {model$getVarInfo(...)},
initialize = function(Rmodel) {
model <<- Rmodel
}
## symbolNimArrDoublePtr
)
)
## This is not a reference class (or other class)
## definition because if it was, then when it is used
## in a nodeFunction, R would check to see that variable
## names exist as fields in the class, and that is
## more trouble than it is worth. A simple environment
## will pass muster here.
## ADproxyModelClass <- function(Rmodel) {
## ans <- new.env()
## model <- Rmodel ## for getVarInfo
## ans$getVarInfo <- function(...) model$getVarInfo(...)
## ans$CobjectInterface <- NULL
## ans
## }
## Convert one symbol object for a C++ var into a symbol object for C++ templated CppAD code
# See symbolTable2templateTypeSymbolTable
cppVarSym2templateTypeCppVarSym <- function(oldSym,
addRef = FALSE,
clearRef = FALSE,
replacementBaseType = 'TYPE_',
replacementTemplateArgs = list()) {
if(oldSym$baseType == 'double') {
newSym <- cppVarFull(name = oldSym$name, baseType = replacementBaseType, ref = addRef, templateArgs = replacementTemplateArgs)
return(newSym)
}
newSym <- oldSym$copy()
if(newSym$baseType == 'NimArr') {
if(newSym$templateArgs[[2]] == 'double') {
if(length(replacementTemplateArgs)==0)
newSym$templateArgs[[2]] <- replacementBaseType
else
newSym$templateArgs[[2]] <- cppVarFull(name='', baseType = replacementBaseType, templateArgs = replacementTemplateArgs)
if(clearRef)
newSym$ref <- FALSE
}
}
## Next we replace nimSmartPtr<NIMBLE_ADCLASS> with nimSmartPtr<NIMBLE_ADCLASS_META>
## It is somewhat ad hoc to do it here.
## At the time of writing this, it always makes sense to do it here.
## If there are more general use cases, it might become necessary to split this off to a
## separate step
if(newSym$baseType == "nimSmartPtr")
if(newSym$templateArgs[[1]] == "NIMBLE_ADCLASS")
newSym$templateArgs[[1]] <- "NIMBLE_ADCLASS_META"
newSym
}
## Convert a symbol table for C++ vars into a symbol table for C++ for templated CppAD code
## For CppAD, we wrap C++ code in template<class TYPE_>
## and replace any double with TYPE_
## This includes NimArr<nDim, double> with NimArr<nDim, TYPE_>
## and similar treatmnt for Eigen templated types.
symbolTable2templateTypeSymbolTable <- function(symTab,
addRef = FALSE,
clearRef = FALSE,
replacementBaseType = 'TYPE_',
replacementTemplateArgs = list(),
ignore = character(),
skip = character(),
replacementSymTab = NULL) {
if(is.null(replacementSymTab)) {
newSymTab <- symbolTable()
allowReplace = FALSE
} else {
newSymTab <- replacementSymTab
allowReplace = TRUE
}
symNames <- symTab$getSymbolNames()
for(sn in symNames) {
oldSym <- symTab$getSymbolObject(sn)
inIgnore <- any(sn == ignore)
inSkip <- any(sn == skip)
if(inSkip)
next
if(inIgnore)
newSym <- oldSym$copy()
else
newSym <- cppVarSym2templateTypeCppVarSym(oldSym,
addRef = addRef,
clearRef = clearRef,
replacementBaseType = replacementBaseType,
replacementTemplateArgs = replacementTemplateArgs)
newSymTab$addSymbol(newSym, allowReplace = allowReplace)
}
newSymTab
}
## This makes a Cpp function definition object wrapped in template<class TYPE_> and with
## doubles converted to TYPE_s (including in templated use if NimArr and Eigen).
## This is called from an existing version of the cppFunctionDef and returns a separate one
makeTypeTemplateFunction <- function(newName,
.self,
useRecordingInfo = FALSE,
derivControl = list()) {
newCppFunDef <- RCfunctionDef$new()
## use typedefs to change nimble's general typedefs for Eigen locally
typeDefs <- symbolTable()
typeDefs$addSymbol(cppVarFull(baseType = "typedef typename EigenTemplateTypes<TYPE_>::typeEigenMapStrd", name = "EigenMapStrd_TYPE_") ) ## these coerces the cppVar system to generate a line of typedef code for us
typeDefs$addSymbol(cppVarFull(baseType = "typedef typename EigenTemplateTypes<TYPE_>::typeMatrixXd", name = "MatrixXd_TYPE_") )
newCppFunDef$name <- newName
newCppFunDef$template <- cppVarFull(name = character(), baseType = 'template', templateArgs = list('class TYPE_'))
ignore <- derivControl[['ignore']]
nameSubList <- .self$RCfunProc$nameSubList
for(i in seq_along(ignore)) {
if(!is.null(nameSubList[[ignore[[i]] ]]))
ignore[[i]] <- as.character(nameSubList[[ignore[[i]] ]])
}
if(is.null(ignore)) ignore <- character()
newCppFunDef$args <- symbolTable2templateTypeSymbolTable(.self$args, addRef = FALSE, ignore = ignore) ## addRef = TRUE breaks if a literal number is passed.
newCppFunDef$args$setParentST( .self$args$getParentST() )
if(useRecordingInfo) {
recordingInfoArg <- cppVarFull(baseType = "nimbleCppADrecordingInfoClass", name = "recordingInfo_")
newCppFunDef$args$addSymbol(recordingInfoArg)
}
localVars <- symbolTable2templateTypeSymbolTable(.self$code$objectDefs,
ignore = ignore)
localVars$setParentST( newCppFunDef$args )
newCppFunDef$returnType <- cppVarSym2templateTypeCppVarSym(.self$returnType)
newCode <- copyExprClass(.self$code$code)
workEnv <- new.env()
workEnv$RsymTab <- .self$RCfunProc$compileInfo$newLocalSymTab
## Access to symbols by workEnv$RCfunProc$compileInfo$newLocalSymTab$getSymbolObject("run", TRUE)
## or workEnv$RCfunProc$compileInfo$newLocalSymTab$symbolExists("run", TRUE)
## Access to info about a method by workEnv$RCfunProc$compileInfo$newLocalSymTab$getSymbolObject("run", TRUE)$nfMethodRCobj$enableDerivs
##
exprClasses_modifyForAD(newCode, localVars, workEnv = workEnv)
workEnv$RCfunDef <- NULL
newCppFunDef$code <- cppCodeBlock(code = newCode, objectDefs = localVars, typeDefs = typeDefs,
## generatorSymTab = .self$code$objectDefs,
cppADCode = 2L)
list(fun = newCppFunDef,
nodeFxnVector_name = workEnv[['nodeFxnVector_name']])
}
make_deriv_function <- function(origFun,
newFunName,
independentVarNames,
argTransferFunName,
meta = FALSE) {
ADNimbleListName <- nl.getDefinitionContent(ADNimbleList, 'name')
newFun <- RCfunctionDef$new()
newFun$name <- newFunName
typeDefs <- symbolTable()
if(meta) {
typeDefs$addSymbol(cppVarFull(baseType = "typedef typename EigenTemplateTypes<TYPE_>::typeEigenMapStrd", name = "EigenMapStrd_TYPE_") ) ## these coerces the cppVar system to generate a line of typedef code for us
typeDefs$addSymbol(cppVarFull(baseType = "typedef typename EigenTemplateTypes<TYPE_>::typeMatrixXd", name = "MatrixXd_TYPE_") )
newFun$template <- cppVarFull(name = character(), baseType = 'template', templateArgs = list('class TYPE_'))
}
newFun$returnType <- cppVarFull(baseType = 'nimSmartPtr',
templateArgs = ADNimbleListName,
name = 'RETURN_OBJ')
if(meta)
newFun$returnType <- cppVarSym2templateTypeCppVarSym(newFun$returnType)
## 0. Add argument copies.
newFun$args <- origFun$args$copy()
if(meta) {
##newFun$args <-
symNames <- newFun$args$getSymbolNames()
ignoreNames <- symNames[!(symNames %in% independentVarNames)]
symbolTable2templateTypeSymbolTable(newFun$args,
ignore = ignoreNames,
replacementSymTab = newFun$args)
}
if(meta)
newFun$args$addSymbol(cppVarFull(baseType = "nimbleCppADrecordingInfoClass", name = "recordingInfo_"))
newFun$args$addSymbol(cppNimArr(name = 'ARGZ_nimDerivsOrders_',
nDim = 1, type = 'double', ref = TRUE, const = TRUE))
newFun$args$addSymbol(cppNimArr(name = 'ARGZ_wrtVector_',
nDim = 1, type = 'double', ref = TRUE, const = TRUE))
newFun$args$addSymbol(cppVar(baseType = 'bool', name = "DO_UPDATE_"))
newFun$args$addSymbol(cppVar(baseType = 'bool', name = "RESET_"))
newFun$args$addSymbol(cppVar(name = 'ARGZ_ADinfo_',
ref = TRUE,
baseType = "nimbleCppADinfoClass"))
## 0b. add orders, wrtVector, and ADinfo arguments
## 1. add ansList to local symTab
localVars <- symbolTable()
returnSym <- cppVarFull(baseType = 'nimSmartPtr',
templateArgs = ADNimbleListName,
name = 'returnList_')
if(meta)
returnSym <- cppVarSym2templateTypeCppVarSym(returnSym)
localVars$addSymbol(returnSym)
## 2. Create getDerivs_wrapper line
if(meta)
innerRcall <- do.call('call',
c(list(argTransferFunName),
lapply(origFun$args$getSymbolNames(), as.name),
list(as.name("recordingInfo_"), as.name("DO_UPDATE_"), as.name("RESET_"), as.name("ARGZ_ADinfo_"))),
quote = TRUE
)
else
innerRcall <- do.call('call',
c(list(argTransferFunName),
lapply(origFun$args$getSymbolNames(), as.name),
list(as.name("DO_UPDATE_"), as.name("RESET_"), as.name("ARGZ_ADinfo_"))),
quote = TRUE
)
if(meta) {
getDerivs_wrapper <- 'getDerivs_wrapper_meta'
getDerivsRcall <- substitute(returnList_ <- GETDERIVS_WRAPPER( INNERCALL,
ARGZ_nimDerivsOrders_,
ARGZ_wrtVector_ ,
recordingInfo_),
list(INNERCALL = innerRcall,
GETDERIVS_WRAPPER = as.name(getDerivs_wrapper)))
} else {
getDerivs_wrapper <- 'getDerivs_wrapper'
getDerivsRcall <- substitute(returnList_ <- GETDERIVS_WRAPPER( INNERCALL,
ARGZ_nimDerivsOrders_,
ARGZ_wrtVector_ ),
list(INNERCALL = innerRcall,
GETDERIVS_WRAPPER = as.name(getDerivs_wrapper)))
}
## 3. create return list
returnCall <- cppLiteral("return(returnList_);")
allRCode <- do.call('call',c(list('{'),
list(getDerivsRcall,
returnCall)),
quote = TRUE)
allCode <- RparseTree2ExprClasses(allRCode)
newFun$code <- cppCodeBlock(code = allCode,
typeDefs = typeDefs,
objectDefs = localVars)
newFun
}
## This makes the function to be called once for CppAD taping
## It sets up AD variables, copies from regular variables into them
## calls the templated version of the member function
## copies the results back out.
## Not that values in the regular variables are not really important during taping.
## Currently those values are intialized to 0.5, which should satisfy needs for (-inf, inf), [0, inf) and [0, 1].
## Ending the tape is not done here. That is done from the calling function
## (which is in permanent C++, not generated from R)
## We do not assume that in the target function the arguments are independent variables and the
## returned value is the dependent variable. Those are set by the independentVarNames and dependentVarNames
## makeADtapingFunction <- function(newFunName = 'callForADtaping', targetFunDef, ADfunName, independentVarNames, dependentVarNames, isNode, className = "className") {
## ## Make new function definition to call for taping (CFT)
## CFT <- RCfunctionDef$new(static = TRUE)
## CFT$returnType <- cppVarFull(baseType = "CppAD::ADFun", templateArgs = list('double'), ptr = 1, name = 'RETURN_TAPE_') ##cppVoid()
## CFT$name <- newFunName
## ## args will always be same; these do not depend on case. actually now these will be empty.
## CFT$args <- symbolTable()
## ## create vector< CppAD::AD<double> > ADindependentVars
## ADindependentVarsSym <- cppVarFull(name = 'ADindependentVars', baseType = 'vector', templateArgs = list( cppVarFull(baseType = 'CppAD::AD', templateArgs = 'double', name = character()) ), ref = FALSE) ## was ref = TRUE if taking as argument
## ## create vector< CppAD::AD<double> ADresponseVars
## ADresponseVarsSym <- cppVarFull(name = 'ADresponseVars', baseType = 'vector', templateArgs = list( cppVarFull(baseType = 'CppAD::AD', templateArgs = 'double', name = character()) ), ref = FALSE) ## ditto
## ## Add them to arguments symbol table ## switch design and make these local
## ## CFT$args$addSymbol( ADindependentVarsSym )
## ## CFT$args$addSymbol( ADresponseVarsSym )
## ## Make local AD variables for all function inputs and outputs
## ## e.g. if the original targetFun takes NimArr<1, double>, it's templated CppAD version will take NimArr<1, TYPE_>
## ## Next line creates local variables for passing to that templated CppAD version
## localVars <- symbolTable2templateTypeSymbolTable(targetFunDef$args, clearRef = TRUE, replacementBaseType = 'CppAD::AD', replacementTemplateArgs = list('double'))
## if(isNode){
## localVars$removeSymbol('ARG1_INDEXEDNODEINFO__')
## indexNodeInfoSymbol <- symbolInternalType(name = 'ARG1_INDEXEDNODEINFO__', argList = list('indexedNodeInfoClass'))
## }
## ## and similar for the return variable
## initADptrCode <- cppLiteral("RETURN_TAPE_ = new CppAD::ADFun<double>;")
## ansSym <- cppVarSym2templateTypeCppVarSym(targetFunDef$returnType, clearRef = TRUE, replacementBaseType = 'CppAD::AD', replacementTemplateArgs = list('double'))
## ansSym$name <- 'ANS_'
## localVars$addSymbol(ansSym)
## symNames <- localVars$getSymbolNames()
## ## set up a set of index variables for copying code, up to six to be arbitrary (allowing up to 6-dimensional nimble objects to be handled)
## indexVarNames <- paste0(letters[9:14],'_')
## ## set any sizes, which must be known
## nimbleSymTab <- targetFunDef$RCfunProc$compileInfo$newLocalSymTab
## ## This creates lines like setSize(z, 2 3)
## ## which the C++ output generator turns into something like z.resize(2, 3)
## setSizeLines <- vector('list', length(symNames) + 2) ## extra 2 are for the ADindependentVars and ADresponseVars
## iNextLine <- 1
## for(iSym in seq_along(symNames)) {
## thisSymName <- symNames[iSym]
## if(thisSymName == 'ANS_') {
## thisSym <- targetFunDef$RCfunProc$compileInfo$returnSymbol
## } else {
## thisSym <- nimbleSymTab$getSymbolObject(thisSymName)
## }
## if(thisSym$nDim > 0) {
## setSizeCall <- do.call('call',c(list('setSize', quote(as.name(thisSymName))), as.list(thisSym$size)))
## setSizeLines[[iNextLine]] <- setSizeCall ##RparseTree2ExprClasses(setSizeCall)
## iNextLine <- iNextLine + 1
## } else {
## setSizeLines[[iNextLine]] <- NULL
## }
## }
## localVars$addSymbol( ADindependentVarsSym )
## localVars$addSymbol( ADresponseVarsSym )
## localVars$addSymbol( CFT$returnType )
## ## call CppAD::Independent(ADindependentVars)
## ## This starts CppADs taping system
## CppADindependentCode <- quote(`CppAD::Independent`(ADindependentVars)) ##nimble:::RparseTree2ExprClasses(quote(`CppAD::Independent`(ADindependentVars)))
## ## make copying blocks into independent vars
## ## This looks like e.g.
## ## for(i_ in 1:3) {ADindependentVars[netIncrement_] = x[i]; netIncrement_ <- netIncrement + 1;}
## numIndependentVars <- length(independentVarNames)
## copyIntoIndepVarCode <- vector('list', numIndependentVars+1)
## ## create the netIncrement_ variable and code to initialize it to 1
## localVars$addSymbol( cppVar(name = 'netIncrement_', baseType = 'int') )
## copyIntoIndepVarCode[[1]] <- quote(netIncrement_ <- 1)
## ## getting the sizes is going to be trickier when an independent var is really an expression, in particular with indexing, like model$x[3]
## ## for now let's assume only cleanly defined vars.
## ## one approach would be intermediate variables
## totalIndependentLength <- 0
## maxSize <- 1
## for(ivn in seq_along(independentVarNames)) {
## thisName <- independentVarNames[ivn]
## thisSym <- nimbleSymTab$getSymbolObject(thisName)
## if(thisSym$nDim > 0) {
## thisSizes <- thisSym$size
## sizeList <- lapply(thisSizes, function(x) c(1, x))
## names(sizeList) <- indexVarNames[1:length(sizeList)]
## if(length(sizeList) > maxSize) maxSize <- length(sizeList)
## newRcode <- makeCopyingCodeBlock(as.name(thisName), quote(ADindependentVars), sizeList, indicesRHS = FALSE, incrementIndex = quote(netIncrement_), isNode)
## copyIntoIndepVarCode[[ivn+1]] <- newRcode
## totalIndependentLength <- totalIndependentLength + prod(thisSizes)
## } else {
## copyIntoIndepVarCode[[ivn+1]] <- substitute({LHS <- ADindependentVars[netIncrement_]; netIncrement_ <- netIncrement_ + 1}, list(LHS = as.name(thisName)))
## totalIndependentLength <- totalIndependentLength + 1
## }
## }
## ## put dummy values in ADindependentVars
## dummyValueRcode <- substitute(for(III in 1:TOTLENGTH) ADindependentVars[III] = 1, list(III = as.name(indexVarNames[1]), TOTLENGTH = totalIndependentLength))
## if(isNode){
## dummyIndexNodeInfoCode <- list(cppLiteral('indexedNodeInfo ARG1_INDEXEDNODEINFO__ = generateDummyIndexedNodeInfo();'))
## }
## else dummyIndexNodeInfoCode <- list()
## ## call the taping function
## TCFcall <- do.call('call', c(list(ADfunName), lapply(targetFunDef$args$getSymbolNames(), as.name)), quote = TRUE)
## tapingCallRCode <- substitute(ANS_ <- TCF, list(TCF = TCFcall))
## ## make copying blocks from dependent vars
## numDependentVars <- length(dependentVarNames)
## copyFromDepVarCode <- vector('list', numDependentVars+1)
## copyFromDepVarCode[[1]] <- quote(netIncrement_ <- 1)
## totalDepLength <- 0;
## for(ivn in seq_along(dependentVarNames)) {
## thisName <- dependentVarNames[ivn]
## if(thisName == 'ANS_') {
## thisSym <- targetFunDef$RCfunProc$compileInfo$returnSymbol
## } else {
## thisSym <- nimbleSymTab$getSymbolObject(thisName)
## }
## if(thisSym$nDim > 0) {
## thisSizes <- thisSym$size
## sizeList <- lapply(thisSizes, function(x) c(1, x))
## names(sizeList) <- indexVarNames[1:length(sizeList)]
## if(length(sizeList) > maxSize) maxSize <- length(sizeList)
## newRcode <- makeCopyingCodeBlock(quote(ADresponseVars), as.name(thisName), sizeList, indicesRHS = TRUE, incrementIndex = quote(netIncrement_))
## copyFromDepVarCode[[ivn+1]] <- newRcode
## totalDepLength <- totalDepLength + prod(thisSizes)
## } else {
## copyFromDepVarCode[[ivn+1]] <- substitute({ADresponseVars[netIncrement_] <- RHS; netIncrement_ <- netIncrement_ + 1}, list(RHS = as.name(thisName)))
## totalDepLength <- totalDepLength + 1
## }
## }
## for(ivn in 1:maxSize)
## localVars$addSymbol( cppVar(name = indexVarNames[ivn], baseType = 'int') )
## ## Now that we know how big ADindependenVars and ADresponseVars should be,
## ## we can make two more entries to setSizeCalls for them
## ## Note that code for these will appear above code that uses them.
## setSizeLines[[iNextLine]] <- substitute(cppMemberFunction(resize(ADindependentVars, TIL)), list(TIL = totalIndependentLength))
## iNextLine <- iNextLine + 1
## setSizeLines[[iNextLine]] <- substitute(cppMemberFunction(resize(ADresponseVars, TDL)), list(TDL = totalDepLength))
## ## line to finish taping
## finishTapingCall <- cppLiteral('RETURN_TAPE_->Dependent(ADindependentVars, ADresponseVars);')
## ADoptimizeCalls <- list(
## # cppLiteral(paste0("std::cout<<\"about to optimize for ", className,"\"<<std::endl;")),
## # cppLiteral("std::cout<<\"size before optimize = \"<< RETURN_TAPE_->size_var() <<\"\\n\";"),
## cppLiteral("RETURN_TAPE_->optimize();"))
## # cppLiteral("std::cout<<\"size after optimize = \"<< RETURN_TAPE_->size_var() <<\"\\n\";"))
## returnCall <- cppLiteral("return(RETURN_TAPE_);")
## ## Finally put together all the code, parse it into the nimble exprClass system,
## ## and add it to the result (CFT)
## allRcode <- do.call('call', c(list('{'), setSizeLines, dummyIndexNodeInfoCode, list(initADptrCode, dummyValueRcode, CppADindependentCode), copyIntoIndepVarCode, list(tapingCallRCode), copyFromDepVarCode, list(finishTapingCall), ADoptimizeCalls, list(returnCall)), quote=TRUE)
## allCode <- RparseTree2ExprClasses(allRcode)
## CFT$code <- cppCodeBlock(code = allCode, objectDefs = localVars)
## CFT
## }
makeADtapingFunction2 <- function(newFunName = 'callForADtaping',
targetFunDef,
ADfunName,
independentVarNames,
dependentVarNames,
isNode,
className = "className",
useModelInfo = list()) {
nodeFxnVector_name <- useModelInfo[['nodeFxnVector_name']]
#usesModelCalculate <- length(nodeFxnVector_name) > 0
usesModelCalculate <- TRUE ## If this becomes stable, it can be renamed or better yet removed. This is to *always* use dynamicVars
## Make new function definition to call for taping (CFT)
if(isNode) warning("makeADtapingFunction2 has not been updated for isNode==TRUE")
CFT <- RCfunctionDef$new(static = FALSE)
CFT$returnType <- cppVarFull(baseType = "CppAD::ADFun", templateArgs = list('double'), ptr = 1, name = 'RETURN_TAPE_') ##cppVoid()
CFT$name <- newFunName
CFT$args <- targetFunDef$args$copy()
symNames <- CFT$args$getSymbolNames()
## create vector< CppAD::AD<double> > ADindependentVars
ADindependentVarsSym <- cppVarFull(name = 'ADindependentVars', baseType = 'vector', templateArgs = list( cppVarFull(baseType = 'CppAD::AD', templateArgs = 'double', name = character()) ), ref = FALSE)
## create vector< CppAD::AD<double> > ADdynamicVars (needed only when a model will be used)
ADdynamicVarsSym <- cppVarFull(name = 'ADdynamicVars', baseType = 'vector', templateArgs = list( cppVarFull(baseType = 'CppAD::AD', templateArgs = 'double', name = character()) ), ref = FALSE)
## create vector< CppAD::AD<double> ADresponseVars
ADresponseVarsSym <- cppVarFull(name = 'ADresponseVars', baseType = 'vector', templateArgs = list( cppVarFull(baseType = 'CppAD::AD', templateArgs = 'double', name = character()) ), ref = FALSE)
## Add them to arguments symbol table ## switch design and make these local
## CFT$args$addSymbol( ADindependentVarsSym )
## CFT$args$addSymbol( ADresponseVarsSym )
## Make local AD variables for all function inputs and outputs
## e.g. if the original targetFun takes NimArr<1, double>, it's templated CppAD version will take NimArr<1, TYPE_>
## Next line creates local variables for passing to that templated CppAD version
localVars <- symbolTable2templateTypeSymbolTable(targetFunDef$args,
clearRef = TRUE,
replacementBaseType = 'CppAD::AD',
replacementTemplateArgs = list('double'),
skip = symNames[!(symNames %in% independentVarNames)])
makeADname <- function(x) paste0(x, "AD_")
for(varName in CFT$args$getSymbolNames()) {
## Move this to a symbolTable$changeSymbolName method
iName <- which(names(localVars$symbols)==varName)
newName <- makeADname(varName)
if(length(iName) > 0) {
localVars$symbols[[iName[1] ]]$name <- newName
names(localVars$symbols)[iName[1] ] <- newName
}
}
if(isNode){
localVars$removeSymbol('ARG1_INDEXEDNODEINFO__')
indexNodeInfoSymbol <- symbolInternalType(name = 'ARG1_INDEXEDNODEINFO__', argList = list('indexedNodeInfoClass'))
}
## and similar for the return variable
initADptrCode <- cppLiteral("RETURN_TAPE_ = new CppAD::ADFun<double>;")
ansSym <- cppVarSym2templateTypeCppVarSym(targetFunDef$returnType,
clearRef = TRUE,
replacementBaseType = 'CppAD::AD',
replacementTemplateArgs = list('double'))
ansSym$name <- 'ANS_'
localVars$addSymbol(ansSym)
## Add a model initialization step if a model is used.
## Arguably this should go in the TypeTemplateFunction, using CppAD::Value() to copy values without recording in the tape.
modelInitCode <- quote(blank())
if(usesModelCalculate) {
modelInitCode <- cppLiteral("initialize_AD_model_before_recording(ADinfo.updaterNV());")
## substitute(initialize_AD_model_before_recording(NV),
## list(NV = as.name(nodeFxnVector_name[1])))
}
## Make a separate resize line for ADresponseVars. ANS_ does not need a resize line.
## set up a set of index variables for copying code, up to six to be arbitrary (allowing up to 6-dimensional nimble objects to be handled)
indexVarNames <- paste0(letters[9:14],'_')
## set any sizes, which must be known
nimbleSymTab <- targetFunDef$RCfunProc$compileInfo$newLocalSymTab
## This creates lines like setSize(z, 2 3)
## which the C++ output generator turns into something like z.resize(2, 3)
setSizeLines <- list() ## extra 1 is for the ADindependentVars. ADresponseVars is one at a later step
iNextLine <- 1
for(iSym in seq_along(symNames)) {
thisSymName <- symNames[iSym]
if(!(thisSymName %in% independentVarNames))
next
thisADname <- makeADname(thisSymName)
## if(thisSymName == 'ANS_') {
## thisSym <- targetFunDef$RCfunProc$compileInfo$returnSymbol
## } else {
## thisSym <- nimbleSymTab$getSymbolObject(thisSymName)
## }
thisSym <- nimbleSymTab$getSymbolObject(thisSymName)
if(thisSym$nDim > 0) {
dimExprs <- lapply(1:thisSym$nDim,
function(i)
substitute(dim(NAME)[i],
list(NAME = as.name(thisSymName),
i = i)))
setSizeCall <- do.call('call',c(list('setSize', as.name(thisADname)), dimExprs), quote = TRUE)
setSizeLines[[iNextLine]] <- setSizeCall
iNextLine <- iNextLine + 1
}
}
localVars$addSymbol( ADindependentVarsSym )
localVars$addSymbol( ADdynamicVarsSym )
localVars$addSymbol( ADresponseVarsSym )
localVars$addSymbol( CFT$returnType )
recordingInfoSym <- cppVarFull(name = "recordingInfo_", baseType = "nimbleCppADrecordingInfoClass",
constructor = "(CppAD::AD<double>::get_tape_id_nimble(), CppAD::AD<double>::get_tape_handle_nimble(), CppAD::local::atomic_index_info_vec_manager_nimble<double>::manage(), &ADinfo)")
##recordingInfoSym <- cppVarFull(name = "recordingInfo_", baseType = "nimbleCppADrecordingInfoClass",
## constructor = "(false, &ADinfo)")
localVars$addSymbol(recordingInfoSym)
setInternalTapeLine <- cppLiteral("ADinfo.set_internal_tape(CppAD::AD<double>::get_tape_handle_nimble());");
setRecordingFalseLine <- cppLiteral("recordingInfo_.recording()=false;")
setRecordingTrueLine <- cppLiteral("recordingInfo_.recording()=true;")
updateRecordingInfoLine <- cppLiteral(paste0("recordingInfo_.tape_id()=CppAD::AD<double>::get_tape_id_nimble();\n",
"recordingInfo_.tape_handle()=CppAD::AD<double>::get_tape_handle_nimble();\n",
"recordingInfo_.atomic_vec_ptr() = CppAD::local::atomic_index_info_vec_manager_nimble<double>::manage();"))
## call CppAD::Independent(ADindependentVars)
## This starts CppADs taping system
CppADindependentCode <- if(usesModelCalculate)
quote(`CppAD::Independent`(ADindependentVars, 0, true, ADdynamicVars)) ## consider switching to false for speed?
else
quote(`CppAD::Independent`(ADindependentVars))
## make copying blocks into independent vars
## This looks like e.g.
## for(i_ in 1:3) {ADindependentVars[netIncrement_] = x[i]; netIncrement_ <- netIncrement + 1;}
numIndependentVars <- length(independentVarNames)
copyIntoIndepVarCode <- vector('list', numIndependentVars+1)
## create the netIncrement_ variable and code to initialize it to 1
localVars$addSymbol( cppVar(name = 'netIncrement_', baseType = 'int') )
copyIntoIndepVarCode[[1]] <- quote(netIncrement_ <- 1)
## getting the sizes is going to be trickier when an independent var is really an expression, in particular with indexing, like model$x[3]
## for now let's assume only cleanly defined vars.
## one approach would be intermediate variables
## totalIndependentLength <- 0
initADindependentVarsCode <- vector('list', numIndependentVars+1)
initADindependentVarsCode[[1]] <- quote(netIncrement_ <- 1)
maxSize <- 1
for(ivn in seq_along(independentVarNames)) {
thisName <- independentVarNames[ivn]
thisNameAD <- paste0(thisName, "AD_")
thisSym <- nimbleSymTab$getSymbolObject(thisName)
if(thisSym$nDim > 0) {
thisSizes <- thisSym$size
sizeList <- lapply(1:thisSym$nDim,
function(x) list(1,
substitute(dim(RHS)[INDEX],
list(RHS = as.name(thisName),
INDEX = x))))
names(sizeList) <- indexVarNames[1:length(sizeList)]
if(length(sizeList) > maxSize) maxSize <- length(sizeList)
newRcode <- makeCopyingCodeBlock(as.name(thisNameAD), quote(ADindependentVars), sizeList, indicesRHS = FALSE, incrementIndex = quote(netIncrement_), isNode)
copyIntoIndepVarCode[[ivn+1]] <- newRcode
newRcode <- makeCopyingCodeBlock(quote(ADindependentVars),
as.name(thisName),
sizeList,
indicesRHS = TRUE,
incrementIndex = quote(netIncrement_),
isNode)
initADindependentVarsCode[[ivn+1]] <- newRcode
## totalIndependentLength <- totalIndependentLength + prod(thisSizes)
} else {
copyIntoIndepVarCode[[ivn+1]] <- substitute({LHS <- ADindependentVars[netIncrement_]; netIncrement_ <- netIncrement_ + 1},
list(LHS = as.name(thisNameAD)))
initADindependentVarsCode[[ivn+1]] <- substitute({ADindependentVars[netIncrement_] <- RHS; netIncrement_ <- netIncrement_ + 1},
list(RHS = as.name(thisName)))
## totalIndependentLength <- totalIndependentLength + 1
}
}
## put dummy values in ADindependentVars
## dummyValueRcode <- substitute(for(III in 1:TOTLENGTH) ADindependentVars[III] = 1, list(III = as.name(indexVarNames[1]), TOTLENGTH = totalIndependentLength))
if(isNode){
dummyIndexNodeInfoCode <- list(cppLiteral('indexedNodeInfo ARG1_INDEXEDNODEINFO__ = generateDummyIndexedNodeInfo();'))
}
else dummyIndexNodeInfoCode <- list()
## call the taping function
TCFcall <- do.call('call', c(list(ADfunName),
lapply(targetFunDef$args$getSymbolNames(),
function(x) if(x %in% independentVarNames) as.name(makeADname(x)) else as.name(x)),
list(as.name(recordingInfoSym$name))),
quote = TRUE)
tapingCallRCode <- substitute(ANS_ <- TCF, list(TCF = TCFcall))
## make copying blocks from dependent vars
numDependentVars <- length(dependentVarNames)
copyFromDepVarCode <- vector('list', numDependentVars+1)
copyFromDepVarCode[[1]] <- quote(netIncrement_ <- 1)
totalDepLength <- 0;
for(ivn in seq_along(dependentVarNames)) { ## typically this will just be "ANS_" It could also be an argument that will be used to get results.
thisName <- dependentVarNames[ivn]
if(thisName == 'ANS_') {
thisSym <- targetFunDef$RCfunProc$compileInfo$returnSymbol
} else {
thisSym <- nimbleSymTab$getSymbolObject(thisName)
}
if(thisSym$nDim > 0) {
thisSizes <- thisSym$size
sizeList <- lapply(1:thisSym$nDim,
function(x) list(1,
substitute(dim(RHS)[INDEX],
list(RHS = as.name(thisName),
INDEX = x))))
names(sizeList) <- indexVarNames[1:length(sizeList)]
if(length(sizeList) > maxSize) maxSize <- length(sizeList)
newRcode <- makeCopyingCodeBlock(quote(ADresponseVars), as.name(thisName), sizeList, indicesRHS = TRUE, incrementIndex = quote(netIncrement_))
copyFromDepVarCode[[ivn+1]] <- newRcode
totalDepLength <- totalDepLength + prod(thisSizes)
} else {
copyFromDepVarCode[[ivn+1]] <- substitute({ADresponseVars[netIncrement_] <- RHS; netIncrement_ <- netIncrement_ + 1}, list(RHS = as.name(thisName)))
totalDepLength <- totalDepLength + 1
}
}
for(ivn in 1:maxSize)
localVars$addSymbol( cppVar(name = indexVarNames[ivn], baseType = 'int') )
## Now that we know how big ADindependenVars and ADresponseVars should be,
## we can make two more entries to setSizeCalls for them
## Note that code for these will appear above code that uses them.
localVars$addSymbol(cppInt(name = "totalIndependentLength_"))
localVars$addSymbol(cppInt(name = "totalDepLength_"))
calcTotalLengthCode <- makeCalcTotalLengthBlock(independentVarNames,
nimbleSymTab,
"totalIndependentLength_",
0) #if(usesModelCalculate) 1 else 0) ## for extraInputDummy
ansNDim <- targetFunDef$RCfunProc$compileInfo$returnSymbol$nDim
if(ansNDim > 0)
calcTotalResponseLengthCode <- quote(cppLiteral("totalDepLength_ = ANS_.size();"))
else
calcTotalResponseLengthCode <- quote(cppLiteral("totalDepLength_ = 1;"))
## calcTotalResponseLengthCode <- makeCalcTotalLengthBlock("ANS_",
## localVars,
## "totalDepLength_")
setSizeLines[[iNextLine]] <- substitute(cppMemberFunction(resize(ADindependentVars, totalIndependentLength_)))
iNextLine <- iNextLine + 1
setADresponseVarsSizeLine <- substitute(cppMemberFunction(resize(ADresponseVars, totalDepLength_)))
## line to finish taping
finishTapingCall <- cppLiteral(
paste0('ADinfo.sum_dummyOutputs_to_dependentVars(ADresponseVars);\n',
'RETURN_TAPE_->Dependent(ADindependentVars, ADresponseVars);'))
ADoptimizeCalls <- list(
# cppLiteral(paste0("std::cout<<\"about to optimize for ", className,"\"<<std::endl;")),
# cppLiteral("std::cout<<\"size before optimize = \"<< RETURN_TAPE_->size_var() <<\"\\n\";"),
if(isTRUE(nimbleOptions("useCppADoptimize")))
cppLiteral("RETURN_TAPE_->optimize();")
else
cppLiteral("//RETURN_TAPE_->optimize();"))
# cppLiteral("std::cout<<\"size after optimize = \"<< RETURN_TAPE_->size_var() <<\"\\n\";"))
returnCall <- cppLiteral("return(RETURN_TAPE_);")
initADdynamicVarsCode <- if(usesModelCalculate) {
cppLiteral("init_dynamicVars(ADinfo.updaterNV(), ADdynamicVars);")
## substitute(init_dynamicVars(NV, ADdynamicVars),
## list(NV = as.name(nodeFxnVector_name[1])))
} else
quote(blank())
copyDynamicVarsToModelCode <- if(usesModelCalculate) {
cppLiteral("copy_dynamicVars_to_model(ADinfo.updaterNV(), ADdynamicVars);")
## substitute(copy_dynamicVars_to_model(NV, ADdynamicVars),
## list(NV = as.name(nodeFxnVector_name[1])))
} else
quote(blank())
## Finally put together all the code, parse it into the nimble exprClass system,
## and add it to the result (CFT)
allRcode <- do.call('call', c(list('{'),
list(modelInitCode),
calcTotalLengthCode,
setSizeLines,
dummyIndexNodeInfoCode,
initADdynamicVarsCode,
initADindependentVarsCode,
copyIntoIndepVarCode, ## once for non-taping call (for nested taping)
list(initADptrCode,
setRecordingFalseLine,
copyDynamicVarsToModelCode, ## once for non-taping call
tapingCallRCode,
CppADindependentCode,
setInternalTapeLine,
setRecordingTrueLine,
updateRecordingInfoLine,
copyDynamicVarsToModelCode), ## again for taping call to be sure
copyIntoIndepVarCode, ## again for taping call to be sure.
list(tapingCallRCode,
calcTotalResponseLengthCode,
setADresponseVarsSizeLine),
copyFromDepVarCode,
list(finishTapingCall),
ADoptimizeCalls,
list(returnCall)),
quote=TRUE)
allCode <- RparseTree2ExprClasses(allRcode)
CFT$code <- cppCodeBlock(code = allCode, objectDefs = localVars)
CFT$args$addSymbol(cppVar(baseType = "nimbleCppADinfoClass", ref = TRUE, name = "ADinfo"))
CFT
}
addADinfoObjects <- function(cppDef) {
firstStatic <- TRUE
globals <- NULL
for(i in seq_along(cppDef$nimCompProc$compileInfos)) {
ADinfoNames <- cppDef$nimCompProc$compileInfos[[i]]$typeEnv[['ADinfoNames']]
ADinfoNames_calculate <- cppDef$nimCompProc$compileInfos[[i]]$typeEnv[['ADinfoNames_calculate']]
ADinfoNames <- c(ADinfoNames, ADinfoNames_calculate)
if(!is.null(ADinfoNames)) {
for(ADinfoName in ADinfoNames)
cppDef$objectDefs$addSymbol(cppVar(name = ADinfoName, ptr = 0, baseType = "nimbleCppADinfoClass"))
}
## ADstaticInfoNames <- cppDef$nimCompProc$compileInfos[[i]]$typeEnv[['ADstaticInfoNames']]
## if(!is.null(ADstaticInfoNames)) {
## for(ADstaticInfoName in ADstaticInfoNames) {
## cppDef$objectDefs$addSymbol(cppVarFull(name = ADstaticInfoName, ptr = 0, baseType = "nimbleCppADinfoClass", static = TRUE))
## if(firstStatic) {
## globals <- cppGlobalObjects(name = paste0('staticGlobals_', cppDef$name),
## staticMembers = TRUE)
## firstStatic <- FALSE
## }
## globals$objectDefs[[ADstaticInfoName]] <-
## cppVarFull(baseType = 'nimbleCppADinfoClass',
## name = paste0(cppDef$name,'::', ADstaticInfoName))
## }
## }
}
if(!is.null(globals))
cppDef$neededTypeDefs[['staticTapeInfos']] <- globals
}
## 1. Use myADtapePtrs_
## 2. Don't assume declared known lengths.
makeADargumentTransferFunction2 <- function(newFunName = 'arguments2cppad',
targetFunDef,
callForTapingName,
independentVarNames,
funIndex = 1,
parentsSizeAndDims,
ADconstantsInfo,
useModelInfo = list(),
derivControl = list(),
metaTape = FALSE) {
if(!metaTape) {
ADtape_independentVarsName <- as.name('independentVars')
## ADtape_dynamicVarsName <- as.name('dynamicVars')
update_dynamicVars_funName <- as.name("update_dynamicVars")
} else {
ADtape_independentVarsName <- as.name('independentVars_meta')
## ADtape_dynamicVarsName <- as.name('dynamicVars_meta')
update_dynamicVars_funName <- as.name("update_dynamicVars_meta")
}
nodeFxnVector_name <- useModelInfo[['nodeFxnVector_name']]
## usesModelCalculate <- length(nodeFxnVector_name) > 0 ## modeled closely parts of /* */
usesModelCalculate <- TRUE ## If this becomes stable, it can be renamed or better yet removed. This is to *always* use dynamicVars
## needs to set the ADtapePtr to one element of the ADtape
TF <- RCfunctionDef$new() ## should it be static?
TF$returnType <- cppVarFull(baseType = 'nimbleCppADinfoClass', ref = TRUE, name = 'RETURN_OBJ')
if(metaTape)
TF$template <- cppVarFull(name = character(), baseType = 'template', templateArgs = list('class TYPE_'))
TF$name <- newFunName
localVars <- symbolTable()
isNode <- !inherits(parentsSizeAndDims, 'uninitializedField')
if(isNode) warning("makeADargumentTransferFunction_2 not yet updated for isNode = TRUE")
if(!isNode) {
TF$args <- targetFunDef$args$copy()
if(metaTape) {
symNames <- TF$args$getSymbolNames()
ignoreNames <- symNames[!(symNames %in% independentVarNames)]
newTempSymbols <- list()
for(sn in symNames[(symNames %in% independentVarNames)])
newTempSymbols[[ sn ]] <- TF$args$getSymbolObject(sn)$copy()
symbolTable2templateTypeSymbolTable(TF$args,
ignore = ignoreNames,
replacementSymTab = TF$args)
## symNames <- TF$args$getSymbolNames()
## newTempSymbols <- list()
## for(sn in symNames) {
## oldSym <- TF$args$getSymbolObject(sn)
## newSym <- cppVarSym2templateTypeCppVarSym(oldSym)
## newTempSymbols[[ sn ]] <- oldSym$copy()
## TF$args$addSymbol(newSym, allowReplace = TRUE)
## }
}
} else {
TF$args <- symbolTable()
indexNodeInfoSym <- targetFunDef$args$getSymbolObject('ARG1_INDEXEDNODEINFO__')
# indexNodeInfoSym$name <-'ARG1_INDEXEDNODEINFO__' ## to conform with original R function indexing
TF$args$addSymbol(indexNodeInfoSym)
}
## set up index vars (up to 6)
indexVarNames <- paste0(letters[9:14],'_')
nimbleSymTab <- targetFunDef$RCfunProc$compileInfo$newLocalSymTab
if(!metaTape) {
copyToDoublesLines <- quote(blank())
updateRecordingInfolLines <- quote(blank())
callForTapingNames <- TF$args$getSymbolNames()
updateRecordingInfoTapeInfoLines <- quote(blank())
} else {
copyToDoublesLines <- list()
callForTapingNames <- character()
argSymNames <- TF$args$getSymbolNames()
for(ivn in seq_along(argSymNames)) {
thisName <- argSymNames[ivn]
if(thisName %in% independentVarNames) {
oldSym <- newTempSymbols[[ thisName ]]
newName <- paste0(thisName, "_double_temp_")
oldSym$name <- newName
oldSym$ref <- FALSE
callForTapingNames <- c(callForTapingNames, newName)
localVars$addSymbol(oldSym)
## newRline <- "NEWV__.setSize(ORIGV__.getSizeVec(), false, false); copy_CppADdouble_to_double(ORIGV__.getPtr(), ORIGV__.getPtr() + ORIGV__.size(), NEWV__.getPtr());"
newRline <- "copy_CppADdouble_to_double(ORIGV__, NEWV__);" ## This also sets size
newRline <- gsub("NEWV__", newName, newRline)
newRline <- gsub("ORIGV__", thisName, newRline)
newRline <- substitute(cppLiteral(LINE), list(LINE = newRline))
copyToDoublesLines[[ length(copyToDoublesLines)+1 ]] <- newRline
} else {
callForTapingNames <- c(callForTapingNames, thisName)
}
}
copyToDoublesLines <- do.call("call", c(list("{"), copyToDoublesLines))
updateRecordingInfolLines <- cppLiteral("if(ADinfo.nodeFunPtrSet()) recordingInfo_.ADinfoPtr()->set_nodeFunPtr(ADinfo.nodeFunPtr());")
updateRecordingInfoTapeInfoLines <- cppLiteral(paste0("recordingInfo_.tape_id()=CppAD::AD<double>::get_tape_id_nimble();\n",
"recordingInfo_.tape_handle()=CppAD::AD<double>::get_tape_handle_nimble();\n",
"recordingInfo_.atomic_vec_ptr() = CppAD::local::atomic_index_info_vec_manager_nimble<double>::manage();"))
}
if(!isNode) {
if(metaTape)
TF$args$addSymbol(cppVarFull(baseType = "nimbleCppADrecordingInfoClass", name = "recordingInfo_", ref = TRUE))
TF$args$addSymbol(cppVar(baseType = "bool", name = "DO_UPDATE_"))
TF$args$addSymbol(cppVar(baseType = "bool", name = "RESET_"))
TF$args$addSymbol(cppVar(baseType = "nimbleCppADinfoClass", ref = TRUE, name = "ADinfo"))
}
## record tape if needed
runCallForTapingCode <- do.call('call',
c(list(callForTapingName),
lapply(callForTapingNames, as.name),
quote(ADinfo)),
quote = TRUE)
if_record_condition <- if(metaTape) {
# quote((!cppMemberFunction(recording(recordingInfo_))) & (!memberData(ADinfo, ADtape) | RESET_)) ##HERE
quote((!cppMemberFunction(recording(recordingInfo_))) & (cppMemberFunction(ADtape_empty(ADinfo)) | RESET_)) ##HERE
} else {
# quote(!memberData(ADinfo, ADtape) | RESET_)
quote(cppMemberFunction(ADtape_empty(ADinfo)) | RESET_)
}
recordIfNeededCode <- substitute(
if(IFRECORDCONDITION) {
cppLiteral("if(!ADinfo.ADtape_empty()) ADinfo.ADtape_reset();")
COPYTODOUBLESLINES
cppMemberFunction(ADtape(ADinfo)) <- RUNCALLFORTAPING
UPDATERECORDINGINFOTAPEINFOLINES
},
list(IFRECORDCONDITION = if_record_condition,
RUNCALLFORTAPING = runCallForTapingCode,
COPYTODOUBLESLINES = copyToDoublesLines,
UPDATERECORDINGINFOTAPEINFOLINES = updateRecordingInfoTapeInfoLines))
## recordIfNeededCode <- substitute(
## if(!myADtapePtrs_[FUNINDEX]) {
## COPYTODOUBLESLINES
## myADtapePtrs_[FUNINDEX] <- RUNCALLFORTAPING
## },
## list(FUNINDEX = funIndex,
## RUNCALLFORTAPING = runCallForTapingCode,
## COPYTODOUBLESLINES = copyToDoublesLines))
## assign tape ptr code
## assignTapePtrCode <- substitute(memberData(ADtapeSetup, ADtape) <- myADtapePtrs_[FUNINDEX], list(FUNINDEX = funIndex)) ## This will have to become a unique index in general. -1 added during output
## create code to copy from arguments into the independentVars
numIndependentVars <- length(independentVarNames)
copyIntoIndepVarCode <- vector('list', numIndependentVars+1)
## create the netIncrement_ variable and code to initialize it to 1
localVars$addSymbol( cppVar(name = 'netIncrement_', baseType = 'int') )
copyIntoIndepVarCode[[1]] <- quote(netIncrement_ <- 1)
## totalIndependentLength <- 0
subArgIndexedInfo <- function(x){
if(deparse(x[[1]])== 'getNodeFunctionIndexedInfo'){
x[[2]] <- parse(text = "ARG1_INDEXEDNODEINFO__")[[1]]
}
return(deparse(x))
}
maxSize <- 0
for(ivn in seq_along(independentVarNames)) {
thisName <- independentVarNames[ivn]
thisSym <- nimbleSymTab$getSymbolObject(thisName)
if(isNode){
nameSubList <- targetFunDef$RCfunProc$nameSubList
thisName <- names(nameSubList)[sapply(nameSubList, function(x) return(as.character(x) == thisName))]
thisModelElementNum <- as.numeric(gsub(".*([0-9]+)$", "\\1", thisName)) ## Extract 1, 2, etc. from end of arg name.
thisName <- sub("_[0-9]+$", "", thisName)
thisModelName <- paste0('model_', Rname2CppName(thisName)) ## Add model_ at beginning and remove _1, _2, etc. at end of arg name.
thisSizeAndDims <- parentsSizeAndDims[[thisName]][[thisModelElementNum]]
if(is.null(thisSizeAndDims)){
thisConstInfo <- ADconstantsInfo[[thisName]][[thisModelElementNum]]
copyIntoIndepVarCode[[ivn+1]] <- substitute(
{
memberData(ADinfo, IVN)[netIncrement_] <- ARG1_INDEXEDNODEINFO__.info[INT]
## memberData(ADtapeSetup, IVN)[netIncrement_] <- ARG1_INDEXEDNODEINFO__.info[INT]
netIncrement_ <- netIncrement_ + 1
},
list(INT = thisConstInfo$indexColumn,
IVN = ADtape_independentVarsName))
totalIndependentLength <- totalIndependentLength + 1
next
}
}
if(thisSym$nDim > 0) {
## thisSizes <- thisSym$size
if(isNode){
sizeList <- list()
for(i in 1:length(thisSizeAndDims$lengths)){
if(thisSizeAndDims$lengths[i] == 1){
if(deparse(thisSizeAndDims$indexExpr[[i]][[1]]) == 'getNodeFunctionIndexedInfo'){
thisSizeAndDims$indexExpr[[i]][[1]] <- parse(text = paste0(
'ARG1_INDEXEDNODEINFO__.info[', thisSizeAndDims$indexExpr[[i]][[3]], ']'))[[1]]
}
sizeList[[i]] <- list(thisSizeAndDims$indexExpr[[i]][[1]], thisSizeAndDims$indexExpr[[i]][[1]])
}
else{
sizeList[[i]] <- list(thisSizeAndDims$indexExpr[[i]][[1]], thisSizeAndDims$indexExpr[[i]][[2]])
}
}
}
else{
sizeList <- lapply(1:thisSym$nDim,
function(x) list(1,
substitute(dim(RHS)[INDEX],
list(RHS = as.name(thisName),
INDEX = x))))
}
names(sizeList) <- indexVarNames[1:length(sizeList)]
if(length(sizeList) > maxSize) maxSize <- length(sizeList)
newRcode <- makeCopyingCodeBlock(
substitute(
## memberData(ADtapeSetup, IVN),
memberData(ADinfo, IVN),
list(IVN = ADtape_independentVarsName)),
as.name(thisName),
sizeList,
indicesRHS = TRUE,
incrementIndex = quote(netIncrement_),
isNode)
copyIntoIndepVarCode[[ivn+1]] <- newRcode
## totalIndependentLength <- totalIndependentLength + prod(thisSizes)
}
else {
if(isNode){
indexBracketInfo <- paste0('[', paste0(sapply(parentsSizeAndDims[[thisName]][[thisModelElementNum]]$indexExpr,
subArgIndexedInfo), collapse = ', '),']')
indexName <- paste0("cppLiteral('(**", thisModelName, ")')", indexBracketInfo)
RHS <- parse(text = substitute(INDEXNAME, list(INDEXNAME = as.name(indexName))))[[1]]
}
else{
RHS <- as.name(thisName)
}
copyIntoIndepVarCode[[ivn+1]] <- substitute(
{
## memberData(ADtapeSetup, IVN)[netIncrement_] <- RHS
memberData(ADinfo, IVN)[netIncrement_] <- RHS
netIncrement_ <- netIncrement_ + 1
},
list(RHS = RHS, IVN = ADtape_independentVarsName))
## totalIndependentLength <- totalIndependentLength + 1
}
}
## setSizeLine <- substitute(cppMemberFunction(resize(memberData(ADtapeSetup, independentVars), TIL)), list(TIL = totalIndependentLength))
localVars$addSymbol( cppVar(name = "totalIndependentVarLength_", baseType = "int"))
calcTotalLengthCode <- makeCalcTotalLengthBlock(independentVarNames,
nimbleSymTab,
"totalIndependentVarLength_",
0) ## from extraInput scheme: if(usesModelCalculate) 1 else 0)
setSizeLine <- substitute(
cppMemberFunction(resize(
## memberData(ADtapeSetup, IVN),
memberData(ADinfo, IVN),
totalIndependentVarLength_)),
list(IVN = ADtape_independentVarsName))
## returnCall <- cppLiteral("return(ADtapeSetup);")
returnCall <- cppLiteral("return(ADinfo);")
if(maxSize > 0){
for(ivn in 1:maxSize)
localVars$addSymbol( cppVar(name = indexVarNames[ivn], baseType = 'int') )
}
dynamicVarsLine <- if(usesModelCalculate) {
substitute(if(DO_UPDATE_) UDV(ADinfo),
list(UDV = update_dynamicVars_funName))
} else {
quote(blank())
}
if(!metaTape) {
setMetaFlagLine <- quote(blank())
} else {
## setMetaFlagLine <- cppLiteral("ADtapeSetup.metaFlag = true;")
setMetaFlagLine <- cppLiteral("ADinfo.metaFlag = true;")
}
allRcode <- do.call('call', c(list('{'),
list(recordIfNeededCode),
list(updateRecordingInfolLines),
calcTotalLengthCode,
list(setSizeLine),
## list(assignTapePtrCode),
copyIntoIndepVarCode,
list(dynamicVarsLine, setMetaFlagLine),
list(returnCall)),
quote=TRUE)
allCode <- RparseTree2ExprClasses(allRcode)
TF$code <- cppCodeBlock(code = allCode, objectDefs = localVars)
TF
}
## Generate a code block to determine the total length of a bunch of variables that may be
## scalar or non-scalar.
makeCalcTotalLengthBlock <- function(independentVarNames,
symTab,
totalLengthName,
initLength = 0) {
numIndependentVars <- length(independentVarNames)
calcTotalLengthLines <- vector('list', numIndependentVars + 1)
calcTotalLengthLines[[1]] <- substitute(TOTALLENGTH <- INITLENGTH, ## Potential for extraInputDummy dimension here.
list(TOTALLENGTH = as.name(totalLengthName),
INITLENGTH = as.numeric(initLength)))
for(ivn in seq_along(independentVarNames)) {
thisName <- independentVarNames[ivn]
thisSym <- symTab$getSymbolObject(thisName)
if(thisSym$nDim > 0)
calcTotalLengthLines[[ivn+1]] <- substitute(cppLiteral(LITERAL_CODE),
list(LITERAL_CODE =
paste0(totalLengthName, " += ", thisName, ".size();")))
else
calcTotalLengthLines[[ivn+1]] <- substitute(cppLiteral(LITERAL_CODE),
list(LITERAL_CODE =
paste0("++",totalLengthName,";")))
}
calcTotalLengthLines
}
## Generate a block of code for copying to or from CppAD objects, to or from original C++ objects
## On the CppAD side, we are always flattening to 1D.
##
## The code this generates is embedded in the ADtapingFunction made by makeADtapingFunction
##
## Note this does some work similar to BUGScontextClass::embedCodeInForLoop
makeCopyingCodeBlock <- function(LHSvar,
RHSvar,
indexList,
indicesRHS = TRUE,
incrementIndex,
isNode = FALSE) {
indexNames <- rev(names(indexList))
indexedBracketExpr <- do.call('call', c(list('[', as.name('TO_BE_REPLACED')),
lapply(rev(indexNames), as.name)), ## use rev() to force column-major order for results
quote = TRUE)
if(indicesRHS) {
if(isNode)
RHS <- eval(
substitute(
substitute(
indexedBracketExpr,
list(TO_BE_REPLACED = cppLiteral(paste0('(**model_', deparse(RHSvar), ')')))),
list(indexedBracketExpr = indexedBracketExpr)
))
else
RHS <- eval(
substitute(
substitute(
indexedBracketExpr,
list(TO_BE_REPLACED = RHSvar)),
list(indexedBracketExpr = indexedBracketExpr)
))
LHS <- substitute(A[i],
list(A = LHSvar,
i = incrementIndex))
} else {
LHS <- eval(
substitute(
substitute(
indexedBracketExpr,
list(TO_BE_REPLACED = LHSvar)),
list(indexedBracketExpr = indexedBracketExpr)
))
RHS <- substitute(A[i],
list(A = RHSvar,
i = incrementIndex))
}
innerCode <- substitute(
{
LHS <- RHS
cppLiteral(incrementCode)
},
list(LHS = LHS,
RHS = RHS,
incrementCode = paste0("++", incrementIndex,";")))
## incrementIndex = incrementIndex))
for(i in length(indexList):1) {
newForLoop <-
substitute(
for(NEWINDEX_ in NEWSTART_:NEWEND_) INNERCODE,
list(NEWINDEX_ = as.name(indexNames[i]),
NEWSTART_ = rev(indexList)[[i]][[1]],
NEWEND_ = rev(indexList)[[i]][[2]],
INNERCODE = innerCode))
innerCode <- newForLoop
}
innerCode
}
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Defines functions makeCopyingCodeBlock makeCalcTotalLengthBlock makeADargumentTransferFunction2 addADinfoObjects makeADtapingFunction2 make_deriv_function makeTypeTemplateFunction symbolTable2templateTypeSymbolTable cppVarSym2templateTypeCppVarSym
#' create an ADproxyModelClass object
#'
#' create an ADproxyModelClass object. For internal use.
#'
#' @param Rmodel The name of an uncompiled model
#'
#' @author NIMBLE development team
#'
#' @details This is a proxy model for model_AD. The class needs just enough pieces to be used like a model for purposes of nodeFunction compilation. The model will contain an ADproxyModel and then the nodeFunction setup code will extract it. The model interface will population the proxy model's CobjectInterface
#'
#' @export ADproxyModelClass
#' @exportClass ADproxyModelClass
ADproxyModelClass <- setRefClass(
'ADproxyModelClass',
fields = list(
CobjectInterface = 'ANY' ## needs .basePtr
, model = 'ANY'
),
methods = list(
getVarInfo = function(...) {model$getVarInfo(...)},
initialize = function(Rmodel) {
model <<- Rmodel
}
## symbolNimArrDoublePtr
)
)
## This is not a reference class (or other class)
## definition because if it was, then when it is used
## in a nodeFunction, R would check to see that variable
## names exist as fields in the class, and that is
## more trouble than it is worth. A simple environment
## will pass muster here.
## ADproxyModelClass <- function(Rmodel) {
## ans <- new.env()
## model <- Rmodel ## for getVarInfo
## ans$getVarInfo <- function(...) model$getVarInfo(...)
## ans$CobjectInterface <- NULL
## ans
## }
## Convert one symbol object for a C++ var into a symbol object for C++ templated CppAD code
# See symbolTable2templateTypeSymbolTable
cppVarSym2templateTypeCppVarSym <- function(oldSym,
addRef = FALSE,
clearRef = FALSE,
replacementBaseType = 'TYPE_',
replacementTemplateArgs = list()) {
if(oldSym$baseType == 'double') {
newSym <- cppVarFull(name = oldSym$name, baseType = replacementBaseType, ref = addRef, templateArgs = replacementTemplateArgs)
return(newSym)
}
newSym <- oldSym$copy()
if(newSym$baseType == 'NimArr') {
if(newSym$templateArgs[[2]] == 'double') {
if(length(replacementTemplateArgs)==0)
newSym$templateArgs[[2]] <- replacementBaseType
else
newSym$templateArgs[[2]] <- cppVarFull(name='', baseType = replacementBaseType, templateArgs = replacementTemplateArgs)
if(clearRef)
newSym$ref <- FALSE
}
}
## Next we replace nimSmartPtr<NIMBLE_ADCLASS> with nimSmartPtr<NIMBLE_ADCLASS_META>
## It is somewhat ad hoc to do it here.
## At the time of writing this, it always makes sense to do it here.
## If there are more general use cases, it might become necessary to split this off to a
## separate step
if(newSym$baseType == "nimSmartPtr")
if(newSym$templateArgs[[1]] == "NIMBLE_ADCLASS")
newSym$templateArgs[[1]] <- "NIMBLE_ADCLASS_META"
newSym
}
## Convert a symbol table for C++ vars into a symbol table for C++ for templated CppAD code
## For CppAD, we wrap C++ code in template<class TYPE_>
## and replace any double with TYPE_
## This includes NimArr<nDim, double> with NimArr<nDim, TYPE_>
## and similar treatmnt for Eigen templated types.
symbolTable2templateTypeSymbolTable <- function(symTab,
addRef = FALSE,
clearRef = FALSE,
replacementBaseType = 'TYPE_',
replacementTemplateArgs = list(),
ignore = character(),
skip = character(),
replacementSymTab = NULL) {
if(is.null(replacementSymTab)) {
newSymTab <- symbolTable()
allowReplace = FALSE
} else {
newSymTab <- replacementSymTab
allowReplace = TRUE
}
symNames <- symTab$getSymbolNames()
for(sn in symNames) {
oldSym <- symTab$getSymbolObject(sn)
inIgnore <- any(sn == ignore)
inSkip <- any(sn == skip)
if(inSkip)
next
if(inIgnore)
newSym <- oldSym$copy()
else
newSym <- cppVarSym2templateTypeCppVarSym(oldSym,
addRef = addRef,
clearRef = clearRef,
replacementBaseType = replacementBaseType,
replacementTemplateArgs = replacementTemplateArgs)
newSymTab$addSymbol(newSym, allowReplace = allowReplace)
}
newSymTab
}
## This makes a Cpp function definition object wrapped in template<class TYPE_> and with
## doubles converted to TYPE_s (including in templated use if NimArr and Eigen).
## This is called from an existing version of the cppFunctionDef and returns a separate one
makeTypeTemplateFunction <- function(newName,
.self,
useRecordingInfo = FALSE,
derivControl = list()) {
newCppFunDef <- RCfunctionDef$new()
## use typedefs to change nimble's general typedefs for Eigen locally
typeDefs <- symbolTable()
typeDefs$addSymbol(cppVarFull(baseType = "typedef typename EigenTemplateTypes<TYPE_>::typeEigenMapStrd", name = "EigenMapStrd_TYPE_") ) ## these coerces the cppVar system to generate a line of typedef code for us
typeDefs$addSymbol(cppVarFull(baseType = "typedef typename EigenTemplateTypes<TYPE_>::typeMatrixXd", name = "MatrixXd_TYPE_") )
newCppFunDef$name <- newName
newCppFunDef$template <- cppVarFull(name = character(), baseType = 'template', templateArgs = list('class TYPE_'))
ignore <- derivControl[['ignore']]
nameSubList <- .self$RCfunProc$nameSubList
for(i in seq_along(ignore)) {
if(!is.null(nameSubList[[ignore[[i]] ]]))
ignore[[i]] <- as.character(nameSubList[[ignore[[i]] ]])
}
if(is.null(ignore)) ignore <- character()
newCppFunDef$args <- symbolTable2templateTypeSymbolTable(.self$args, addRef = FALSE, ignore = ignore) ## addRef = TRUE breaks if a literal number is passed.
newCppFunDef$args$setParentST( .self$args$getParentST() )
if(useRecordingInfo) {
recordingInfoArg <- cppVarFull(baseType = "nimbleCppADrecordingInfoClass", name = "recordingInfo_")
newCppFunDef$args$addSymbol(recordingInfoArg)
}
localVars <- symbolTable2templateTypeSymbolTable(.self$code$objectDefs,
ignore = ignore)
localVars$setParentST( newCppFunDef$args )
newCppFunDef$returnType <- cppVarSym2templateTypeCppVarSym(.self$returnType)
newCode <- copyExprClass(.self$code$code)
workEnv <- new.env()
workEnv$RsymTab <- .self$RCfunProc$compileInfo$newLocalSymTab
## Access to symbols by workEnv$RCfunProc$compileInfo$newLocalSymTab$getSymbolObject("run", TRUE)
## or workEnv$RCfunProc$compileInfo$newLocalSymTab$symbolExists("run", TRUE)
## Access to info about a method by workEnv$RCfunProc$compileInfo$newLocalSymTab$getSymbolObject("run", TRUE)$nfMethodRCobj$enableDerivs
##
exprClasses_modifyForAD(newCode, localVars, workEnv = workEnv)
workEnv$RCfunDef <- NULL
newCppFunDef$code <- cppCodeBlock(code = newCode, objectDefs = localVars, typeDefs = typeDefs,
## generatorSymTab = .self$code$objectDefs,
cppADCode = 2L)
list(fun = newCppFunDef,
nodeFxnVector_name = workEnv[['nodeFxnVector_name']])
}
make_deriv_function <- function(origFun,
newFunName,
independentVarNames,
argTransferFunName,
meta = FALSE) {
ADNimbleListName <- nl.getDefinitionContent(ADNimbleList, 'name')
newFun <- RCfunctionDef$new()
newFun$name <- newFunName
typeDefs <- symbolTable()
if(meta) {
typeDefs$addSymbol(cppVarFull(baseType = "typedef typename EigenTemplateTypes<TYPE_>::typeEigenMapStrd", name = "EigenMapStrd_TYPE_") ) ## these coerces the cppVar system to generate a line of typedef code for us
typeDefs$addSymbol(cppVarFull(baseType = "typedef typename EigenTemplateTypes<TYPE_>::typeMatrixXd", name = "MatrixXd_TYPE_") )
newFun$template <- cppVarFull(name = character(), baseType = 'template', templateArgs = list('class TYPE_'))
}
newFun$returnType <- cppVarFull(baseType = 'nimSmartPtr',
templateArgs = ADNimbleListName,
name = 'RETURN_OBJ')
if(meta)
newFun$returnType <- cppVarSym2templateTypeCppVarSym(newFun$returnType)
## 0. Add argument copies.
newFun$args <- origFun$args$copy()
if(meta) {
##newFun$args <-
symNames <- newFun$args$getSymbolNames()
ignoreNames <- symNames[!(symNames %in% independentVarNames)]
symbolTable2templateTypeSymbolTable(newFun$args,
ignore = ignoreNames,
replacementSymTab = newFun$args)
}
if(meta)
newFun$args$addSymbol(cppVarFull(baseType = "nimbleCppADrecordingInfoClass", name = "recordingInfo_"))
newFun$args$addSymbol(cppNimArr(name = 'ARGZ_nimDerivsOrders_',
nDim = 1, type = 'double', ref = TRUE, const = TRUE))
newFun$args$addSymbol(cppNimArr(name = 'ARGZ_wrtVector_',
nDim = 1, type = 'double', ref = TRUE, const = TRUE))
newFun$args$addSymbol(cppVar(baseType = 'bool', name = "DO_UPDATE_"))
newFun$args$addSymbol(cppVar(baseType = 'bool', name = "RESET_"))
newFun$args$addSymbol(cppVar(name = 'ARGZ_ADinfo_',
ref = TRUE,
baseType = "nimbleCppADinfoClass"))
## 0b. add orders, wrtVector, and ADinfo arguments
## 1. add ansList to local symTab
localVars <- symbolTable()
returnSym <- cppVarFull(baseType = 'nimSmartPtr',
templateArgs = ADNimbleListName,
name = 'returnList_')
if(meta)
returnSym <- cppVarSym2templateTypeCppVarSym(returnSym)
localVars$addSymbol(returnSym)
## 2. Create getDerivs_wrapper line
if(meta)
innerRcall <- do.call('call',
c(list(argTransferFunName),
lapply(origFun$args$getSymbolNames(), as.name),
list(as.name("recordingInfo_"), as.name("DO_UPDATE_"), as.name("RESET_"), as.name("ARGZ_ADinfo_"))),
quote = TRUE
)
else
innerRcall <- do.call('call',
c(list(argTransferFunName),
lapply(origFun$args$getSymbolNames(), as.name),
list(as.name("DO_UPDATE_"), as.name("RESET_"), as.name("ARGZ_ADinfo_"))),
quote = TRUE
)
if(meta) {
getDerivs_wrapper <- 'getDerivs_wrapper_meta'
getDerivsRcall <- substitute(returnList_ <- GETDERIVS_WRAPPER( INNERCALL,
ARGZ_nimDerivsOrders_,
ARGZ_wrtVector_ ,
recordingInfo_),
list(INNERCALL = innerRcall,
GETDERIVS_WRAPPER = as.name(getDerivs_wrapper)))
} else {
getDerivs_wrapper <- 'getDerivs_wrapper'
getDerivsRcall <- substitute(returnList_ <- GETDERIVS_WRAPPER( INNERCALL,
ARGZ_nimDerivsOrders_,
ARGZ_wrtVector_ ),
list(INNERCALL = innerRcall,
GETDERIVS_WRAPPER = as.name(getDerivs_wrapper)))
}
## 3. create return list
returnCall <- cppLiteral("return(returnList_);")
allRCode <- do.call('call',c(list('{'),
list(getDerivsRcall,
returnCall)),
quote = TRUE)
allCode <- RparseTree2ExprClasses(allRCode)
newFun$code <- cppCodeBlock(code = allCode,
typeDefs = typeDefs,
objectDefs = localVars)
newFun
}
## This makes the function to be called once for CppAD taping
## It sets up AD variables, copies from regular variables into them
## calls the templated version of the member function
## copies the results back out.
## Not that values in the regular variables are not really important during taping.
## Currently those values are intialized to 0.5, which should satisfy needs for (-inf, inf), [0, inf) and [0, 1].
## Ending the tape is not done here. That is done from the calling function
## (which is in permanent C++, not generated from R)
## We do not assume that in the target function the arguments are independent variables and the
## returned value is the dependent variable. Those are set by the independentVarNames and dependentVarNames
## makeADtapingFunction <- function(newFunName = 'callForADtaping', targetFunDef, ADfunName, independentVarNames, dependentVarNames, isNode, className = "className") {
## ## Make new function definition to call for taping (CFT)
## CFT <- RCfunctionDef$new(static = TRUE)
## CFT$returnType <- cppVarFull(baseType = "CppAD::ADFun", templateArgs = list('double'), ptr = 1, name = 'RETURN_TAPE_') ##cppVoid()
## CFT$name <- newFunName
## ## args will always be same; these do not depend on case. actually now these will be empty.
## CFT$args <- symbolTable()
## ## create vector< CppAD::AD<double> > ADindependentVars
## ADindependentVarsSym <- cppVarFull(name = 'ADindependentVars', baseType = 'vector', templateArgs = list( cppVarFull(baseType = 'CppAD::AD', templateArgs = 'double', name = character()) ), ref = FALSE) ## was ref = TRUE if taking as argument
## ## create vector< CppAD::AD<double> ADresponseVars
## ADresponseVarsSym <- cppVarFull(name = 'ADresponseVars', baseType = 'vector', templateArgs = list( cppVarFull(baseType = 'CppAD::AD', templateArgs = 'double', name = character()) ), ref = FALSE) ## ditto
## ## Add them to arguments symbol table ## switch design and make these local
## ## CFT$args$addSymbol( ADindependentVarsSym )
## ## CFT$args$addSymbol( ADresponseVarsSym )
## ## Make local AD variables for all function inputs and outputs
## ## e.g. if the original targetFun takes NimArr<1, double>, it's templated CppAD version will take NimArr<1, TYPE_>
## ## Next line creates local variables for passing to that templated CppAD version
## localVars <- symbolTable2templateTypeSymbolTable(targetFunDef$args, clearRef = TRUE, replacementBaseType = 'CppAD::AD', replacementTemplateArgs = list('double'))
## if(isNode){
## localVars$removeSymbol('ARG1_INDEXEDNODEINFO__')
## indexNodeInfoSymbol <- symbolInternalType(name = 'ARG1_INDEXEDNODEINFO__', argList = list('indexedNodeInfoClass'))
## }
## ## and similar for the return variable
## initADptrCode <- cppLiteral("RETURN_TAPE_ = new CppAD::ADFun<double>;")
## ansSym <- cppVarSym2templateTypeCppVarSym(targetFunDef$returnType, clearRef = TRUE, replacementBaseType = 'CppAD::AD', replacementTemplateArgs = list('double'))
## ansSym$name <- 'ANS_'
## localVars$addSymbol(ansSym)
## symNames <- localVars$getSymbolNames()
## ## set up a set of index variables for copying code, up to six to be arbitrary (allowing up to 6-dimensional nimble objects to be handled)
## indexVarNames <- paste0(letters[9:14],'_')
## ## set any sizes, which must be known
## nimbleSymTab <- targetFunDef$RCfunProc$compileInfo$newLocalSymTab
## ## This creates lines like setSize(z, 2 3)
## ## which the C++ output generator turns into something like z.resize(2, 3)
## setSizeLines <- vector('list', length(symNames) + 2) ## extra 2 are for the ADindependentVars and ADresponseVars
## iNextLine <- 1
## for(iSym in seq_along(symNames)) {
## thisSymName <- symNames[iSym]
## if(thisSymName == 'ANS_') {
## thisSym <- targetFunDef$RCfunProc$compileInfo$returnSymbol
## } else {
## thisSym <- nimbleSymTab$getSymbolObject(thisSymName)
## }
## if(thisSym$nDim > 0) {
## setSizeCall <- do.call('call',c(list('setSize', quote(as.name(thisSymName))), as.list(thisSym$size)))
## setSizeLines[[iNextLine]] <- setSizeCall ##RparseTree2ExprClasses(setSizeCall)
## iNextLine <- iNextLine + 1
## } else {
## setSizeLines[[iNextLine]] <- NULL
## }
## }
## localVars$addSymbol( ADindependentVarsSym )
## localVars$addSymbol( ADresponseVarsSym )
## localVars$addSymbol( CFT$returnType )
## ## call CppAD::Independent(ADindependentVars)
## ## This starts CppADs taping system
## CppADindependentCode <- quote(`CppAD::Independent`(ADindependentVars)) ##nimble:::RparseTree2ExprClasses(quote(`CppAD::Independent`(ADindependentVars)))
## ## make copying blocks into independent vars
## ## This looks like e.g.
## ## for(i_ in 1:3) {ADindependentVars[netIncrement_] = x[i]; netIncrement_ <- netIncrement + 1;}
## numIndependentVars <- length(independentVarNames)
## copyIntoIndepVarCode <- vector('list', numIndependentVars+1)
## ## create the netIncrement_ variable and code to initialize it to 1
## localVars$addSymbol( cppVar(name = 'netIncrement_', baseType = 'int') )
## copyIntoIndepVarCode[[1]] <- quote(netIncrement_ <- 1)
## ## getting the sizes is going to be trickier when an independent var is really an expression, in particular with indexing, like model$x[3]
## ## for now let's assume only cleanly defined vars.
## ## one approach would be intermediate variables
## totalIndependentLength <- 0
## maxSize <- 1
## for(ivn in seq_along(independentVarNames)) {
## thisName <- independentVarNames[ivn]
## thisSym <- nimbleSymTab$getSymbolObject(thisName)
## if(thisSym$nDim > 0) {
## thisSizes <- thisSym$size
## sizeList <- lapply(thisSizes, function(x) c(1, x))
## names(sizeList) <- indexVarNames[1:length(sizeList)]
## if(length(sizeList) > maxSize) maxSize <- length(sizeList)
## newRcode <- makeCopyingCodeBlock(as.name(thisName), quote(ADindependentVars), sizeList, indicesRHS = FALSE, incrementIndex = quote(netIncrement_), isNode)
## copyIntoIndepVarCode[[ivn+1]] <- newRcode
## totalIndependentLength <- totalIndependentLength + prod(thisSizes)
## } else {
## copyIntoIndepVarCode[[ivn+1]] <- substitute({LHS <- ADindependentVars[netIncrement_]; netIncrement_ <- netIncrement_ + 1}, list(LHS = as.name(thisName)))
## totalIndependentLength <- totalIndependentLength + 1
## }
## }
## ## put dummy values in ADindependentVars
## dummyValueRcode <- substitute(for(III in 1:TOTLENGTH) ADindependentVars[III] = 1, list(III = as.name(indexVarNames[1]), TOTLENGTH = totalIndependentLength))
## if(isNode){
## dummyIndexNodeInfoCode <- list(cppLiteral('indexedNodeInfo ARG1_INDEXEDNODEINFO__ = generateDummyIndexedNodeInfo();'))
## }
## else dummyIndexNodeInfoCode <- list()
## ## call the taping function
## TCFcall <- do.call('call', c(list(ADfunName), lapply(targetFunDef$args$getSymbolNames(), as.name)), quote = TRUE)
## tapingCallRCode <- substitute(ANS_ <- TCF, list(TCF = TCFcall))
## ## make copying blocks from dependent vars
## numDependentVars <- length(dependentVarNames)
## copyFromDepVarCode <- vector('list', numDependentVars+1)
## copyFromDepVarCode[[1]] <- quote(netIncrement_ <- 1)
## totalDepLength <- 0;
## for(ivn in seq_along(dependentVarNames)) {
## thisName <- dependentVarNames[ivn]
## if(thisName == 'ANS_') {
## thisSym <- targetFunDef$RCfunProc$compileInfo$returnSymbol
## } else {
## thisSym <- nimbleSymTab$getSymbolObject(thisName)
## }
## if(thisSym$nDim > 0) {
## thisSizes <- thisSym$size
## sizeList <- lapply(thisSizes, function(x) c(1, x))
## names(sizeList) <- indexVarNames[1:length(sizeList)]
## if(length(sizeList) > maxSize) maxSize <- length(sizeList)
## newRcode <- makeCopyingCodeBlock(quote(ADresponseVars), as.name(thisName), sizeList, indicesRHS = TRUE, incrementIndex = quote(netIncrement_))
## copyFromDepVarCode[[ivn+1]] <- newRcode
## totalDepLength <- totalDepLength + prod(thisSizes)
## } else {
## copyFromDepVarCode[[ivn+1]] <- substitute({ADresponseVars[netIncrement_] <- RHS; netIncrement_ <- netIncrement_ + 1}, list(RHS = as.name(thisName)))
## totalDepLength <- totalDepLength + 1
## }
## }
## for(ivn in 1:maxSize)
## localVars$addSymbol( cppVar(name = indexVarNames[ivn], baseType = 'int') )
## ## Now that we know how big ADindependenVars and ADresponseVars should be,
## ## we can make two more entries to setSizeCalls for them
## ## Note that code for these will appear above code that uses them.
## setSizeLines[[iNextLine]] <- substitute(cppMemberFunction(resize(ADindependentVars, TIL)), list(TIL = totalIndependentLength))
## iNextLine <- iNextLine + 1
## setSizeLines[[iNextLine]] <- substitute(cppMemberFunction(resize(ADresponseVars, TDL)), list(TDL = totalDepLength))
## ## line to finish taping
## finishTapingCall <- cppLiteral('RETURN_TAPE_->Dependent(ADindependentVars, ADresponseVars);')
## ADoptimizeCalls <- list(
## # cppLiteral(paste0("std::cout<<\"about to optimize for ", className,"\"<<std::endl;")),
## # cppLiteral("std::cout<<\"size before optimize = \"<< RETURN_TAPE_->size_var() <<\"\\n\";"),
## cppLiteral("RETURN_TAPE_->optimize();"))
## # cppLiteral("std::cout<<\"size after optimize = \"<< RETURN_TAPE_->size_var() <<\"\\n\";"))
## returnCall <- cppLiteral("return(RETURN_TAPE_);")
## ## Finally put together all the code, parse it into the nimble exprClass system,
## ## and add it to the result (CFT)
## allRcode <- do.call('call', c(list('{'), setSizeLines, dummyIndexNodeInfoCode, list(initADptrCode, dummyValueRcode, CppADindependentCode), copyIntoIndepVarCode, list(tapingCallRCode), copyFromDepVarCode, list(finishTapingCall), ADoptimizeCalls, list(returnCall)), quote=TRUE)
## allCode <- RparseTree2ExprClasses(allRcode)
## CFT$code <- cppCodeBlock(code = allCode, objectDefs = localVars)
## CFT
## }
makeADtapingFunction2 <- function(newFunName = 'callForADtaping',
targetFunDef,
ADfunName,
independentVarNames,
dependentVarNames,
isNode,
className = "className",
useModelInfo = list()) {
nodeFxnVector_name <- useModelInfo[['nodeFxnVector_name']]
#usesModelCalculate <- length(nodeFxnVector_name) > 0
usesModelCalculate <- TRUE ## If this becomes stable, it can be renamed or better yet removed. This is to *always* use dynamicVars
## Make new function definition to call for taping (CFT)
if(isNode) warning("makeADtapingFunction2 has not been updated for isNode==TRUE")
CFT <- RCfunctionDef$new(static = FALSE)
CFT$returnType <- cppVarFull(baseType = "CppAD::ADFun", templateArgs = list('double'), ptr = 1, name = 'RETURN_TAPE_') ##cppVoid()
CFT$name <- newFunName
CFT$args <- targetFunDef$args$copy()
symNames <- CFT$args$getSymbolNames()
## create vector< CppAD::AD<double> > ADindependentVars
ADindependentVarsSym <- cppVarFull(name = 'ADindependentVars', baseType = 'vector', templateArgs = list( cppVarFull(baseType = 'CppAD::AD', templateArgs = 'double', name = character()) ), ref = FALSE)
## create vector< CppAD::AD<double> > ADdynamicVars (needed only when a model will be used)
ADdynamicVarsSym <- cppVarFull(name = 'ADdynamicVars', baseType = 'vector', templateArgs = list( cppVarFull(baseType = 'CppAD::AD', templateArgs = 'double', name = character()) ), ref = FALSE)
## create vector< CppAD::AD<double> ADresponseVars
ADresponseVarsSym <- cppVarFull(name = 'ADresponseVars', baseType = 'vector', templateArgs = list( cppVarFull(baseType = 'CppAD::AD', templateArgs = 'double', name = character()) ), ref = FALSE)
## Add them to arguments symbol table ## switch design and make these local
## CFT$args$addSymbol( ADindependentVarsSym )
## CFT$args$addSymbol( ADresponseVarsSym )
## Make local AD variables for all function inputs and outputs
## e.g. if the original targetFun takes NimArr<1, double>, it's templated CppAD version will take NimArr<1, TYPE_>
## Next line creates local variables for passing to that templated CppAD version
localVars <- symbolTable2templateTypeSymbolTable(targetFunDef$args,
clearRef = TRUE,
replacementBaseType = 'CppAD::AD',
replacementTemplateArgs = list('double'),
skip = symNames[!(symNames %in% independentVarNames)])
makeADname <- function(x) paste0(x, "AD_")
for(varName in CFT$args$getSymbolNames()) {
## Move this to a symbolTable$changeSymbolName method
iName <- which(names(localVars$symbols)==varName)
newName <- makeADname(varName)
if(length(iName) > 0) {
localVars$symbols[[iName[1] ]]$name <- newName
names(localVars$symbols)[iName[1] ] <- newName
}
}
if(isNode){
localVars$removeSymbol('ARG1_INDEXEDNODEINFO__')
indexNodeInfoSymbol <- symbolInternalType(name = 'ARG1_INDEXEDNODEINFO__', argList = list('indexedNodeInfoClass'))
}
## and similar for the return variable
initADptrCode <- cppLiteral("RETURN_TAPE_ = new CppAD::ADFun<double>;")
ansSym <- cppVarSym2templateTypeCppVarSym(targetFunDef$returnType,
clearRef = TRUE,
replacementBaseType = 'CppAD::AD',
replacementTemplateArgs = list('double'))
ansSym$name <- 'ANS_'
localVars$addSymbol(ansSym)
## Add a model initialization step if a model is used.
## Arguably this should go in the TypeTemplateFunction, using CppAD::Value() to copy values without recording in the tape.
modelInitCode <- quote(blank())
if(usesModelCalculate) {
modelInitCode <- cppLiteral("initialize_AD_model_before_recording(ADinfo.updaterNV());")
## substitute(initialize_AD_model_before_recording(NV),
## list(NV = as.name(nodeFxnVector_name[1])))
}
## Make a separate resize line for ADresponseVars. ANS_ does not need a resize line.
## set up a set of index variables for copying code, up to six to be arbitrary (allowing up to 6-dimensional nimble objects to be handled)
indexVarNames <- paste0(letters[9:14],'_')
## set any sizes, which must be known
nimbleSymTab <- targetFunDef$RCfunProc$compileInfo$newLocalSymTab
## This creates lines like setSize(z, 2 3)
## which the C++ output generator turns into something like z.resize(2, 3)
setSizeLines <- list() ## extra 1 is for the ADindependentVars. ADresponseVars is one at a later step
iNextLine <- 1
for(iSym in seq_along(symNames)) {
thisSymName <- symNames[iSym]
if(!(thisSymName %in% independentVarNames))
next
thisADname <- makeADname(thisSymName)
## if(thisSymName == 'ANS_') {
## thisSym <- targetFunDef$RCfunProc$compileInfo$returnSymbol
## } else {
## thisSym <- nimbleSymTab$getSymbolObject(thisSymName)
## }
thisSym <- nimbleSymTab$getSymbolObject(thisSymName)
if(thisSym$nDim > 0) {
dimExprs <- lapply(1:thisSym$nDim,
function(i)
substitute(dim(NAME)[i],
list(NAME = as.name(thisSymName),
i = i)))
setSizeCall <- do.call('call',c(list('setSize', as.name(thisADname)), dimExprs), quote = TRUE)
setSizeLines[[iNextLine]] <- setSizeCall
iNextLine <- iNextLine + 1
}
}
localVars$addSymbol( ADindependentVarsSym )
localVars$addSymbol( ADdynamicVarsSym )
localVars$addSymbol( ADresponseVarsSym )
localVars$addSymbol( CFT$returnType )
recordingInfoSym <- cppVarFull(name = "recordingInfo_", baseType = "nimbleCppADrecordingInfoClass",
constructor = "(CppAD::AD<double>::get_tape_id_nimble(), CppAD::AD<double>::get_tape_handle_nimble(), CppAD::local::atomic_index_info_vec_manager_nimble<double>::manage(), &ADinfo)")
##recordingInfoSym <- cppVarFull(name = "recordingInfo_", baseType = "nimbleCppADrecordingInfoClass",
## constructor = "(false, &ADinfo)")
localVars$addSymbol(recordingInfoSym)
setInternalTapeLine <- cppLiteral("ADinfo.set_internal_tape(CppAD::AD<double>::get_tape_handle_nimble());");
setRecordingFalseLine <- cppLiteral("recordingInfo_.recording()=false;")
setRecordingTrueLine <- cppLiteral("recordingInfo_.recording()=true;")
updateRecordingInfoLine <- cppLiteral(paste0("recordingInfo_.tape_id()=CppAD::AD<double>::get_tape_id_nimble();\n",
"recordingInfo_.tape_handle()=CppAD::AD<double>::get_tape_handle_nimble();\n",
"recordingInfo_.atomic_vec_ptr() = CppAD::local::atomic_index_info_vec_manager_nimble<double>::manage();"))
## call CppAD::Independent(ADindependentVars)
## This starts CppADs taping system
CppADindependentCode <- if(usesModelCalculate)
quote(`CppAD::Independent`(ADindependentVars, 0, true, ADdynamicVars)) ## consider switching to false for speed?
else
quote(`CppAD::Independent`(ADindependentVars))
## make copying blocks into independent vars
## This looks like e.g.
## for(i_ in 1:3) {ADindependentVars[netIncrement_] = x[i]; netIncrement_ <- netIncrement + 1;}
numIndependentVars <- length(independentVarNames)
copyIntoIndepVarCode <- vector('list', numIndependentVars+1)
## create the netIncrement_ variable and code to initialize it to 1
localVars$addSymbol( cppVar(name = 'netIncrement_', baseType = 'int') )
copyIntoIndepVarCode[[1]] <- quote(netIncrement_ <- 1)
## getting the sizes is going to be trickier when an independent var is really an expression, in particular with indexing, like model$x[3]
## for now let's assume only cleanly defined vars.
## one approach would be intermediate variables
## totalIndependentLength <- 0
initADindependentVarsCode <- vector('list', numIndependentVars+1)
initADindependentVarsCode[[1]] <- quote(netIncrement_ <- 1)
maxSize <- 1
for(ivn in seq_along(independentVarNames)) {
thisName <- independentVarNames[ivn]
thisNameAD <- paste0(thisName, "AD_")
thisSym <- nimbleSymTab$getSymbolObject(thisName)
if(thisSym$nDim > 0) {
thisSizes <- thisSym$size
sizeList <- lapply(1:thisSym$nDim,
function(x) list(1,
substitute(dim(RHS)[INDEX],
list(RHS = as.name(thisName),
INDEX = x))))
names(sizeList) <- indexVarNames[1:length(sizeList)]
if(length(sizeList) > maxSize) maxSize <- length(sizeList)
newRcode <- makeCopyingCodeBlock(as.name(thisNameAD), quote(ADindependentVars), sizeList, indicesRHS = FALSE, incrementIndex = quote(netIncrement_), isNode)
copyIntoIndepVarCode[[ivn+1]] <- newRcode
newRcode <- makeCopyingCodeBlock(quote(ADindependentVars),
as.name(thisName),
sizeList,
indicesRHS = TRUE,
incrementIndex = quote(netIncrement_),
isNode)
initADindependentVarsCode[[ivn+1]] <- newRcode
## totalIndependentLength <- totalIndependentLength + prod(thisSizes)
} else {
copyIntoIndepVarCode[[ivn+1]] <- substitute({LHS <- ADindependentVars[netIncrement_]; netIncrement_ <- netIncrement_ + 1},
list(LHS = as.name(thisNameAD)))
initADindependentVarsCode[[ivn+1]] <- substitute({ADindependentVars[netIncrement_] <- RHS; netIncrement_ <- netIncrement_ + 1},
list(RHS = as.name(thisName)))
## totalIndependentLength <- totalIndependentLength + 1
}
}
## put dummy values in ADindependentVars
## dummyValueRcode <- substitute(for(III in 1:TOTLENGTH) ADindependentVars[III] = 1, list(III = as.name(indexVarNames[1]), TOTLENGTH = totalIndependentLength))
if(isNode){
dummyIndexNodeInfoCode <- list(cppLiteral('indexedNodeInfo ARG1_INDEXEDNODEINFO__ = generateDummyIndexedNodeInfo();'))
}
else dummyIndexNodeInfoCode <- list()
## call the taping function
TCFcall <- do.call('call', c(list(ADfunName),
lapply(targetFunDef$args$getSymbolNames(),
function(x) if(x %in% independentVarNames) as.name(makeADname(x)) else as.name(x)),
list(as.name(recordingInfoSym$name))),
quote = TRUE)
tapingCallRCode <- substitute(ANS_ <- TCF, list(TCF = TCFcall))
## make copying blocks from dependent vars
numDependentVars <- length(dependentVarNames)
copyFromDepVarCode <- vector('list', numDependentVars+1)
copyFromDepVarCode[[1]] <- quote(netIncrement_ <- 1)
totalDepLength <- 0;
for(ivn in seq_along(dependentVarNames)) { ## typically this will just be "ANS_" It could also be an argument that will be used to get results.
thisName <- dependentVarNames[ivn]
if(thisName == 'ANS_') {
thisSym <- targetFunDef$RCfunProc$compileInfo$returnSymbol
} else {
thisSym <- nimbleSymTab$getSymbolObject(thisName)
}
if(thisSym$nDim > 0) {
thisSizes <- thisSym$size
sizeList <- lapply(1:thisSym$nDim,
function(x) list(1,
substitute(dim(RHS)[INDEX],
list(RHS = as.name(thisName),
INDEX = x))))
names(sizeList) <- indexVarNames[1:length(sizeList)]
if(length(sizeList) > maxSize) maxSize <- length(sizeList)
newRcode <- makeCopyingCodeBlock(quote(ADresponseVars), as.name(thisName), sizeList, indicesRHS = TRUE, incrementIndex = quote(netIncrement_))
copyFromDepVarCode[[ivn+1]] <- newRcode
totalDepLength <- totalDepLength + prod(thisSizes)
} else {
copyFromDepVarCode[[ivn+1]] <- substitute({ADresponseVars[netIncrement_] <- RHS; netIncrement_ <- netIncrement_ + 1}, list(RHS = as.name(thisName)))
totalDepLength <- totalDepLength + 1
}
}
for(ivn in 1:maxSize)
localVars$addSymbol( cppVar(name = indexVarNames[ivn], baseType = 'int') )
## Now that we know how big ADindependenVars and ADresponseVars should be,
## we can make two more entries to setSizeCalls for them
## Note that code for these will appear above code that uses them.
localVars$addSymbol(cppInt(name = "totalIndependentLength_"))
localVars$addSymbol(cppInt(name = "totalDepLength_"))
calcTotalLengthCode <- makeCalcTotalLengthBlock(independentVarNames,
nimbleSymTab,
"totalIndependentLength_",
0) #if(usesModelCalculate) 1 else 0) ## for extraInputDummy
ansNDim <- targetFunDef$RCfunProc$compileInfo$returnSymbol$nDim
if(ansNDim > 0)
calcTotalResponseLengthCode <- quote(cppLiteral("totalDepLength_ = ANS_.size();"))
else
calcTotalResponseLengthCode <- quote(cppLiteral("totalDepLength_ = 1;"))
## calcTotalResponseLengthCode <- makeCalcTotalLengthBlock("ANS_",
## localVars,
## "totalDepLength_")
setSizeLines[[iNextLine]] <- substitute(cppMemberFunction(resize(ADindependentVars, totalIndependentLength_)))
iNextLine <- iNextLine + 1
setADresponseVarsSizeLine <- substitute(cppMemberFunction(resize(ADresponseVars, totalDepLength_)))
## line to finish taping
finishTapingCall <- cppLiteral(
paste0('ADinfo.sum_dummyOutputs_to_dependentVars(ADresponseVars);\n',
'RETURN_TAPE_->Dependent(ADindependentVars, ADresponseVars);'))
ADoptimizeCalls <- list(
# cppLiteral(paste0("std::cout<<\"about to optimize for ", className,"\"<<std::endl;")),
# cppLiteral("std::cout<<\"size before optimize = \"<< RETURN_TAPE_->size_var() <<\"\\n\";"),
if(isTRUE(nimbleOptions("useCppADoptimize")))
cppLiteral("RETURN_TAPE_->optimize();")
else
cppLiteral("//RETURN_TAPE_->optimize();"))
# cppLiteral("std::cout<<\"size after optimize = \"<< RETURN_TAPE_->size_var() <<\"\\n\";"))
returnCall <- cppLiteral("return(RETURN_TAPE_);")
initADdynamicVarsCode <- if(usesModelCalculate) {
cppLiteral("init_dynamicVars(ADinfo.updaterNV(), ADdynamicVars);")
## substitute(init_dynamicVars(NV, ADdynamicVars),
## list(NV = as.name(nodeFxnVector_name[1])))
} else
quote(blank())
copyDynamicVarsToModelCode <- if(usesModelCalculate) {
cppLiteral("copy_dynamicVars_to_model(ADinfo.updaterNV(), ADdynamicVars);")
## substitute(copy_dynamicVars_to_model(NV, ADdynamicVars),
## list(NV = as.name(nodeFxnVector_name[1])))
} else
quote(blank())
## Finally put together all the code, parse it into the nimble exprClass system,
## and add it to the result (CFT)
allRcode <- do.call('call', c(list('{'),
list(modelInitCode),
calcTotalLengthCode,
setSizeLines,
dummyIndexNodeInfoCode,
initADdynamicVarsCode,
initADindependentVarsCode,
copyIntoIndepVarCode, ## once for non-taping call (for nested taping)
list(initADptrCode,
setRecordingFalseLine,
copyDynamicVarsToModelCode, ## once for non-taping call
tapingCallRCode,
CppADindependentCode,
setInternalTapeLine,
setRecordingTrueLine,
updateRecordingInfoLine,
copyDynamicVarsToModelCode), ## again for taping call to be sure
copyIntoIndepVarCode, ## again for taping call to be sure.
list(tapingCallRCode,
calcTotalResponseLengthCode,
setADresponseVarsSizeLine),
copyFromDepVarCode,
list(finishTapingCall),
ADoptimizeCalls,
list(returnCall)),
quote=TRUE)
allCode <- RparseTree2ExprClasses(allRcode)
CFT$code <- cppCodeBlock(code = allCode, objectDefs = localVars)
CFT$args$addSymbol(cppVar(baseType = "nimbleCppADinfoClass", ref = TRUE, name = "ADinfo"))
CFT
}
addADinfoObjects <- function(cppDef) {
firstStatic <- TRUE
globals <- NULL
for(i in seq_along(cppDef$nimCompProc$compileInfos)) {
ADinfoNames <- cppDef$nimCompProc$compileInfos[[i]]$typeEnv[['ADinfoNames']]
ADinfoNames_calculate <- cppDef$nimCompProc$compileInfos[[i]]$typeEnv[['ADinfoNames_calculate']]
ADinfoNames <- c(ADinfoNames, ADinfoNames_calculate)
if(!is.null(ADinfoNames)) {
for(ADinfoName in ADinfoNames)
cppDef$objectDefs$addSymbol(cppVar(name = ADinfoName, ptr = 0, baseType = "nimbleCppADinfoClass"))
}
## ADstaticInfoNames <- cppDef$nimCompProc$compileInfos[[i]]$typeEnv[['ADstaticInfoNames']]
## if(!is.null(ADstaticInfoNames)) {
## for(ADstaticInfoName in ADstaticInfoNames) {
## cppDef$objectDefs$addSymbol(cppVarFull(name = ADstaticInfoName, ptr = 0, baseType = "nimbleCppADinfoClass", static = TRUE))
## if(firstStatic) {
## globals <- cppGlobalObjects(name = paste0('staticGlobals_', cppDef$name),
## staticMembers = TRUE)
## firstStatic <- FALSE
## }
## globals$objectDefs[[ADstaticInfoName]] <-
## cppVarFull(baseType = 'nimbleCppADinfoClass',
## name = paste0(cppDef$name,'::', ADstaticInfoName))
## }
## }
}
if(!is.null(globals))
cppDef$neededTypeDefs[['staticTapeInfos']] <- globals
}
## 1. Use myADtapePtrs_
## 2. Don't assume declared known lengths.
makeADargumentTransferFunction2 <- function(newFunName = 'arguments2cppad',
targetFunDef,
callForTapingName,
independentVarNames,
funIndex = 1,
parentsSizeAndDims,
ADconstantsInfo,
useModelInfo = list(),
derivControl = list(),
metaTape = FALSE) {
if(!metaTape) {
ADtape_independentVarsName <- as.name('independentVars')
## ADtape_dynamicVarsName <- as.name('dynamicVars')
update_dynamicVars_funName <- as.name("update_dynamicVars")
} else {
ADtape_independentVarsName <- as.name('independentVars_meta')
## ADtape_dynamicVarsName <- as.name('dynamicVars_meta')
update_dynamicVars_funName <- as.name("update_dynamicVars_meta")
}
nodeFxnVector_name <- useModelInfo[['nodeFxnVector_name']]
## usesModelCalculate <- length(nodeFxnVector_name) > 0 ## modeled closely parts of /* */
usesModelCalculate <- TRUE ## If this becomes stable, it can be renamed or better yet removed. This is to *always* use dynamicVars
## needs to set the ADtapePtr to one element of the ADtape
TF <- RCfunctionDef$new() ## should it be static?
TF$returnType <- cppVarFull(baseType = 'nimbleCppADinfoClass', ref = TRUE, name = 'RETURN_OBJ')
if(metaTape)
TF$template <- cppVarFull(name = character(), baseType = 'template', templateArgs = list('class TYPE_'))
TF$name <- newFunName
localVars <- symbolTable()
isNode <- !inherits(parentsSizeAndDims, 'uninitializedField')
if(isNode) warning("makeADargumentTransferFunction_2 not yet updated for isNode = TRUE")
if(!isNode) {
TF$args <- targetFunDef$args$copy()
if(metaTape) {
symNames <- TF$args$getSymbolNames()
ignoreNames <- symNames[!(symNames %in% independentVarNames)]
newTempSymbols <- list()
for(sn in symNames[(symNames %in% independentVarNames)])
newTempSymbols[[ sn ]] <- TF$args$getSymbolObject(sn)$copy()
symbolTable2templateTypeSymbolTable(TF$args,
ignore = ignoreNames,
replacementSymTab = TF$args)
## symNames <- TF$args$getSymbolNames()
## newTempSymbols <- list()
## for(sn in symNames) {
## oldSym <- TF$args$getSymbolObject(sn)
## newSym <- cppVarSym2templateTypeCppVarSym(oldSym)
## newTempSymbols[[ sn ]] <- oldSym$copy()
## TF$args$addSymbol(newSym, allowReplace = TRUE)
## }
}
} else {
TF$args <- symbolTable()
indexNodeInfoSym <- targetFunDef$args$getSymbolObject('ARG1_INDEXEDNODEINFO__')
# indexNodeInfoSym$name <-'ARG1_INDEXEDNODEINFO__' ## to conform with original R function indexing
TF$args$addSymbol(indexNodeInfoSym)
}
## set up index vars (up to 6)
indexVarNames <- paste0(letters[9:14],'_')
nimbleSymTab <- targetFunDef$RCfunProc$compileInfo$newLocalSymTab
if(!metaTape) {
copyToDoublesLines <- quote(blank())
updateRecordingInfolLines <- quote(blank())
callForTapingNames <- TF$args$getSymbolNames()
updateRecordingInfoTapeInfoLines <- quote(blank())
} else {
copyToDoublesLines <- list()
callForTapingNames <- character()
argSymNames <- TF$args$getSymbolNames()
for(ivn in seq_along(argSymNames)) {
thisName <- argSymNames[ivn]
if(thisName %in% independentVarNames) {
oldSym <- newTempSymbols[[ thisName ]]
newName <- paste0(thisName, "_double_temp_")
oldSym$name <- newName
oldSym$ref <- FALSE
callForTapingNames <- c(callForTapingNames, newName)
localVars$addSymbol(oldSym)
## newRline <- "NEWV__.setSize(ORIGV__.getSizeVec(), false, false); copy_CppADdouble_to_double(ORIGV__.getPtr(), ORIGV__.getPtr() + ORIGV__.size(), NEWV__.getPtr());"
newRline <- "copy_CppADdouble_to_double(ORIGV__, NEWV__);" ## This also sets size
newRline <- gsub("NEWV__", newName, newRline)
newRline <- gsub("ORIGV__", thisName, newRline)
newRline <- substitute(cppLiteral(LINE), list(LINE = newRline))
copyToDoublesLines[[ length(copyToDoublesLines)+1 ]] <- newRline
} else {
callForTapingNames <- c(callForTapingNames, thisName)
}
}
copyToDoublesLines <- do.call("call", c(list("{"), copyToDoublesLines))
updateRecordingInfolLines <- cppLiteral("if(ADinfo.nodeFunPtrSet()) recordingInfo_.ADinfoPtr()->set_nodeFunPtr(ADinfo.nodeFunPtr());")
updateRecordingInfoTapeInfoLines <- cppLiteral(paste0("recordingInfo_.tape_id()=CppAD::AD<double>::get_tape_id_nimble();\n",
"recordingInfo_.tape_handle()=CppAD::AD<double>::get_tape_handle_nimble();\n",
"recordingInfo_.atomic_vec_ptr() = CppAD::local::atomic_index_info_vec_manager_nimble<double>::manage();"))
}
if(!isNode) {
if(metaTape)
TF$args$addSymbol(cppVarFull(baseType = "nimbleCppADrecordingInfoClass", name = "recordingInfo_", ref = TRUE))
TF$args$addSymbol(cppVar(baseType = "bool", name = "DO_UPDATE_"))
TF$args$addSymbol(cppVar(baseType = "bool", name = "RESET_"))
TF$args$addSymbol(cppVar(baseType = "nimbleCppADinfoClass", ref = TRUE, name = "ADinfo"))
}
## record tape if needed
runCallForTapingCode <- do.call('call',
c(list(callForTapingName),
lapply(callForTapingNames, as.name),
quote(ADinfo)),
quote = TRUE)
if_record_condition <- if(metaTape) {
# quote((!cppMemberFunction(recording(recordingInfo_))) & (!memberData(ADinfo, ADtape) | RESET_)) ##HERE
quote((!cppMemberFunction(recording(recordingInfo_))) & (cppMemberFunction(ADtape_empty(ADinfo)) | RESET_)) ##HERE
} else {
# quote(!memberData(ADinfo, ADtape) | RESET_)
quote(cppMemberFunction(ADtape_empty(ADinfo)) | RESET_)
}
recordIfNeededCode <- substitute(
if(IFRECORDCONDITION) {
cppLiteral("if(!ADinfo.ADtape_empty()) ADinfo.ADtape_reset();")
COPYTODOUBLESLINES
cppMemberFunction(ADtape(ADinfo)) <- RUNCALLFORTAPING
UPDATERECORDINGINFOTAPEINFOLINES
},
list(IFRECORDCONDITION = if_record_condition,
RUNCALLFORTAPING = runCallForTapingCode,
COPYTODOUBLESLINES = copyToDoublesLines,
UPDATERECORDINGINFOTAPEINFOLINES = updateRecordingInfoTapeInfoLines))
## recordIfNeededCode <- substitute(
## if(!myADtapePtrs_[FUNINDEX]) {
## COPYTODOUBLESLINES
## myADtapePtrs_[FUNINDEX] <- RUNCALLFORTAPING
## },
## list(FUNINDEX = funIndex,
## RUNCALLFORTAPING = runCallForTapingCode,
## COPYTODOUBLESLINES = copyToDoublesLines))
## assign tape ptr code
## assignTapePtrCode <- substitute(memberData(ADtapeSetup, ADtape) <- myADtapePtrs_[FUNINDEX], list(FUNINDEX = funIndex)) ## This will have to become a unique index in general. -1 added during output
## create code to copy from arguments into the independentVars
numIndependentVars <- length(independentVarNames)
copyIntoIndepVarCode <- vector('list', numIndependentVars+1)
## create the netIncrement_ variable and code to initialize it to 1
localVars$addSymbol( cppVar(name = 'netIncrement_', baseType = 'int') )
copyIntoIndepVarCode[[1]] <- quote(netIncrement_ <- 1)
## totalIndependentLength <- 0
subArgIndexedInfo <- function(x){
if(deparse(x[[1]])== 'getNodeFunctionIndexedInfo'){
x[[2]] <- parse(text = "ARG1_INDEXEDNODEINFO__")[[1]]
}
return(deparse(x))
}
maxSize <- 0
for(ivn in seq_along(independentVarNames)) {
thisName <- independentVarNames[ivn]
thisSym <- nimbleSymTab$getSymbolObject(thisName)
if(isNode){
nameSubList <- targetFunDef$RCfunProc$nameSubList
thisName <- names(nameSubList)[sapply(nameSubList, function(x) return(as.character(x) == thisName))]
thisModelElementNum <- as.numeric(gsub(".*([0-9]+)$", "\\1", thisName)) ## Extract 1, 2, etc. from end of arg name.
thisName <- sub("_[0-9]+$", "", thisName)
thisModelName <- paste0('model_', Rname2CppName(thisName)) ## Add model_ at beginning and remove _1, _2, etc. at end of arg name.
thisSizeAndDims <- parentsSizeAndDims[[thisName]][[thisModelElementNum]]
if(is.null(thisSizeAndDims)){
thisConstInfo <- ADconstantsInfo[[thisName]][[thisModelElementNum]]
copyIntoIndepVarCode[[ivn+1]] <- substitute(
{
memberData(ADinfo, IVN)[netIncrement_] <- ARG1_INDEXEDNODEINFO__.info[INT]
## memberData(ADtapeSetup, IVN)[netIncrement_] <- ARG1_INDEXEDNODEINFO__.info[INT]
netIncrement_ <- netIncrement_ + 1
},
list(INT = thisConstInfo$indexColumn,
IVN = ADtape_independentVarsName))
totalIndependentLength <- totalIndependentLength + 1
next
}
}
if(thisSym$nDim > 0) {
## thisSizes <- thisSym$size
if(isNode){
sizeList <- list()
for(i in 1:length(thisSizeAndDims$lengths)){
if(thisSizeAndDims$lengths[i] == 1){
if(deparse(thisSizeAndDims$indexExpr[[i]][[1]]) == 'getNodeFunctionIndexedInfo'){
thisSizeAndDims$indexExpr[[i]][[1]] <- parse(text = paste0(
'ARG1_INDEXEDNODEINFO__.info[', thisSizeAndDims$indexExpr[[i]][[3]], ']'))[[1]]
}
sizeList[[i]] <- list(thisSizeAndDims$indexExpr[[i]][[1]], thisSizeAndDims$indexExpr[[i]][[1]])
}
else{
sizeList[[i]] <- list(thisSizeAndDims$indexExpr[[i]][[1]], thisSizeAndDims$indexExpr[[i]][[2]])
}
}
}
else{
sizeList <- lapply(1:thisSym$nDim,
function(x) list(1,
substitute(dim(RHS)[INDEX],
list(RHS = as.name(thisName),
INDEX = x))))
}
names(sizeList) <- indexVarNames[1:length(sizeList)]
if(length(sizeList) > maxSize) maxSize <- length(sizeList)
newRcode <- makeCopyingCodeBlock(
substitute(
## memberData(ADtapeSetup, IVN),
memberData(ADinfo, IVN),
list(IVN = ADtape_independentVarsName)),
as.name(thisName),
sizeList,
indicesRHS = TRUE,
incrementIndex = quote(netIncrement_),
isNode)
copyIntoIndepVarCode[[ivn+1]] <- newRcode
## totalIndependentLength <- totalIndependentLength + prod(thisSizes)
}
else {
if(isNode){
indexBracketInfo <- paste0('[', paste0(sapply(parentsSizeAndDims[[thisName]][[thisModelElementNum]]$indexExpr,
subArgIndexedInfo), collapse = ', '),']')
indexName <- paste0("cppLiteral('(**", thisModelName, ")')", indexBracketInfo)
RHS <- parse(text = substitute(INDEXNAME, list(INDEXNAME = as.name(indexName))))[[1]]
}
else{
RHS <- as.name(thisName)
}
copyIntoIndepVarCode[[ivn+1]] <- substitute(
{
## memberData(ADtapeSetup, IVN)[netIncrement_] <- RHS
memberData(ADinfo, IVN)[netIncrement_] <- RHS
netIncrement_ <- netIncrement_ + 1
},
list(RHS = RHS, IVN = ADtape_independentVarsName))
## totalIndependentLength <- totalIndependentLength + 1
}
}
## setSizeLine <- substitute(cppMemberFunction(resize(memberData(ADtapeSetup, independentVars), TIL)), list(TIL = totalIndependentLength))
localVars$addSymbol( cppVar(name = "totalIndependentVarLength_", baseType = "int"))
calcTotalLengthCode <- makeCalcTotalLengthBlock(independentVarNames,
nimbleSymTab,
"totalIndependentVarLength_",
0) ## from extraInput scheme: if(usesModelCalculate) 1 else 0)
setSizeLine <- substitute(
cppMemberFunction(resize(
## memberData(ADtapeSetup, IVN),
memberData(ADinfo, IVN),
totalIndependentVarLength_)),
list(IVN = ADtape_independentVarsName))
## returnCall <- cppLiteral("return(ADtapeSetup);")
returnCall <- cppLiteral("return(ADinfo);")
if(maxSize > 0){
for(ivn in 1:maxSize)
localVars$addSymbol( cppVar(name = indexVarNames[ivn], baseType = 'int') )
}
dynamicVarsLine <- if(usesModelCalculate) {
substitute(if(DO_UPDATE_) UDV(ADinfo),
list(UDV = update_dynamicVars_funName))
} else {
quote(blank())
}
if(!metaTape) {
setMetaFlagLine <- quote(blank())
} else {
## setMetaFlagLine <- cppLiteral("ADtapeSetup.metaFlag = true;")
setMetaFlagLine <- cppLiteral("ADinfo.metaFlag = true;")
}
allRcode <- do.call('call', c(list('{'),
list(recordIfNeededCode),
list(updateRecordingInfolLines),
calcTotalLengthCode,
list(setSizeLine),
## list(assignTapePtrCode),
copyIntoIndepVarCode,
list(dynamicVarsLine, setMetaFlagLine),
list(returnCall)),
quote=TRUE)
allCode <- RparseTree2ExprClasses(allRcode)
TF$code <- cppCodeBlock(code = allCode, objectDefs = localVars)
TF
}
## Generate a code block to determine the total length of a bunch of variables that may be
## scalar or non-scalar.
makeCalcTotalLengthBlock <- function(independentVarNames,
symTab,
totalLengthName,
initLength = 0) {
numIndependentVars <- length(independentVarNames)
calcTotalLengthLines <- vector('list', numIndependentVars + 1)
calcTotalLengthLines[[1]] <- substitute(TOTALLENGTH <- INITLENGTH, ## Potential for extraInputDummy dimension here.
list(TOTALLENGTH = as.name(totalLengthName),
INITLENGTH = as.numeric(initLength)))
for(ivn in seq_along(independentVarNames)) {
thisName <- independentVarNames[ivn]
thisSym <- symTab$getSymbolObject(thisName)
if(thisSym$nDim > 0)
calcTotalLengthLines[[ivn+1]] <- substitute(cppLiteral(LITERAL_CODE),
list(LITERAL_CODE =
paste0(totalLengthName, " += ", thisName, ".size();")))
else
calcTotalLengthLines[[ivn+1]] <- substitute(cppLiteral(LITERAL_CODE),
list(LITERAL_CODE =
paste0("++",totalLengthName,";")))
}
calcTotalLengthLines
}
## Generate a block of code for copying to or from CppAD objects, to or from original C++ objects
## On the CppAD side, we are always flattening to 1D.
##
## The code this generates is embedded in the ADtapingFunction made by makeADtapingFunction
##
## Note this does some work similar to BUGScontextClass::embedCodeInForLoop
makeCopyingCodeBlock <- function(LHSvar,
RHSvar,
indexList,
indicesRHS = TRUE,
incrementIndex,
isNode = FALSE) {
indexNames <- rev(names(indexList))
indexedBracketExpr <- do.call('call', c(list('[', as.name('TO_BE_REPLACED')),
lapply(rev(indexNames), as.name)), ## use rev() to force column-major order for results
quote = TRUE)
if(indicesRHS) {
if(isNode)
RHS <- eval(
substitute(
substitute(
indexedBracketExpr,
list(TO_BE_REPLACED = cppLiteral(paste0('(**model_', deparse(RHSvar), ')')))),
list(indexedBracketExpr = indexedBracketExpr)
))
else
RHS <- eval(
substitute(
substitute(
indexedBracketExpr,
list(TO_BE_REPLACED = RHSvar)),
list(indexedBracketExpr = indexedBracketExpr)
))
LHS <- substitute(A[i],
list(A = LHSvar,
i = incrementIndex))
} else {
LHS <- eval(
substitute(
substitute(
indexedBracketExpr,
list(TO_BE_REPLACED = LHSvar)),
list(indexedBracketExpr = indexedBracketExpr)
))
RHS <- substitute(A[i],
list(A = RHSvar,
i = incrementIndex))
}
innerCode <- substitute(
{
LHS <- RHS
cppLiteral(incrementCode)
},
list(LHS = LHS,
RHS = RHS,
incrementCode = paste0("++", incrementIndex,";")))
## incrementIndex = incrementIndex))
for(i in length(indexList):1) {
newForLoop <-
substitute(
for(NEWINDEX_ in NEWSTART_:NEWEND_) INNERCODE,
list(NEWINDEX_ = as.name(indexNames[i]),
NEWSTART_ = rev(indexList)[[i]][[1]],
NEWEND_ = rev(indexList)[[i]][[2]],
INNERCODE = innerCode))
innerCode <- newForLoop
}
innerCode
}
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