arrays - Julia回调中的Fortran数组

我正在尝试为twpbvpc(带重切的ODE BVP)Fortran-77解算器编写包装。求解器需要带签名的输入功能

subroutine fsub(ncomp, x, u, f, rpar, ipar)

在哪里

ncomp是一个整数(向量的长度)，

x(in)是一个浮点数，

u(in)是长度为ncomp，

的向量

f(out)是结果的位置，长度为ncomp的向量

rpar和ipar是float和integer外部参数的数组； Julia (Julia)的闭包是更可取的方式，但显然存在困难(请参阅the blog post here)。但是有一段时间他们可以被忽略。

在Julia中，要编写fsub，我通常会使用签名

function fsub_julia(x :: Float64, y :: Vector{Float64}, dy :: Vector{Float64})
        dy[1] = ...
        dy[2] = ...
        ...
end

ncomp似乎不是必需的，因为可以通过length或size来获取长度(但是，Julia可以从Fortran中检测传递的数组的大小吗？对于测试代码，我明确知道ncomp，所以现在这不是问题) 。

因此，为了遵循twpbvpc格式，我编写了一个包装器:

function fsub_par(n :: Int64, x :: Float64, y :: Vector{Float64}, dy :: Vector{Float64}, rpar :: Vector{Float64}, ipar :: Vector{Float64})
        fsub_julia(x, y, dy)
end

现在，要将此函数传递给Fortran例程，需要使用cfunction对其进行转换以声明类型。问题是如何？

如果我这样说:

cf_fsub = cfunction(fsub_par, Void, (Ref{Int64}, Ref{Float64}, Ref{Float64}, Ref{Float64}, Ref{Float64}, Ref{Int64}))

从Fortran调用时，出现错误:

ERROR: LoadError: MethodError: no method matching (::TWPBVP.#fsub_par#1{TWPBVP_Test.#f})(::Int64, ::Float64, ::Float64, ::Float64, ::Float64, ::Int64)
Closest candidates are:
  fsub_par(::Int64, ::Float64, !Matched::Array{Float64,1}, !Matched::Array{Float64,1}, !Matched::Array{Float64,1}, !Matched::Array{Float64,1})

因此，某种程度上签名与数组参数不匹配...

如果我将数组参数的Ref{Float64}替换为Ref{Array{Float64,1}}(虽然看起来确实有些奇怪...):

cf_fsub = cfunction(fsub_par, Void, (Ref{Int64}, Ref{Float64}, Ref{Array{Float64,1}}, Ref{Array{Float64,1}}, Ref{Array{Float64,1}}, Ref{Array{Int64,1}}))

当在Fortran代码中调用fsub_par(cf_fsub)时，我遇到了一个段错误(此位置大约位于该位置，因为错误没有给出确切的位置)。

用Ref{Float54}替换数组的Ptr{Float64}也不起作用。

我在Fortran代码中发现的一件有趣的事情是fsub的调用方式:

call fsub (ncomp, xx(1), u(1,1), fval(1,1),rpar,ipar)

其中u和fval声明为:

dimension xx(nmsh), u(nudim,nmsh), fval(ncomp,nmsh)

因此，我猜想，它使用了这样的事实:Fortran通过引用传递所有参数，并且对u(1,1)的引用应该是指向矩阵第一列的指针(据我所知，Fortran和Julia都将矩阵存储在-第一个订单)。

出路是什么？我是否需要更改fsub_julia的签名以接受指针并将其手动转换为数组(这是ODEInterface.jl在较低级别的工作方式)？

更新

遵循ODEInterface.jl中的完成方式，并结合在C中通过void* -thunk参数传递Julia函数的想法，我想到了这一点:

immutable TWPBVPCProblem
    fsub :: Function            # RHS function
    dfsub :: Function           # Jacobian of RHS
    gsub :: Function            # BC function
    dgsub :: Function           # gradients of BC function
end

function unsafe_fsub(rn :: Ref{Int64}, rx :: Ref{Float64}, py :: Ptr{Float64}, pdy :: Ptr{Float64}, rpar :: Ptr{Float64}, ipar :: Ptr{Int64}) :: Void
    x = rx[]
    n = rn[]
    y = unsafe_wrap(Array, py, n)
    dy = unsafe_wrap(Array, pdy, n)
    problem = unsafe_pointer_to_objref(rpar) :: TWPBVPCProblem
    problem.fsub(x, y, dy)
    return nothing
end

const fsub_ptr = cfunction(unsafe_fsub, Void, (Ref{Int64}, Ref{Float64}, Ptr{Float64}, Ptr{Float64}, Ptr{Float64}, Ptr{Int64}))

当我调用求解器时(很长):

function twpbvpc(nlbc :: Int64,
        aleft :: Float64, aright :: Float64,
        fixpnt :: Nullable{Vector{Float64}},
        ltol :: Vector{Int64}, tol :: Vector{Float64},
        linear :: Bool, givmsh :: Bool, giveu :: Bool, nmsh :: Ref{Int64},
        xx :: Vector{Float64}, u :: Array{Float64, 2}, nmax :: Ref{Int64},
        wrk :: Vector{Float64}, iwrk :: Vector{Int64},
        fsub :: Function, dfsub :: Function,
        gsub :: Function, dgsub :: Function,
        ckappa1 :: Ref{Float64}, gamma1 :: Ref{Float64},
        ckappa :: Ref{Float64},
        # rpar :: Vector{Float64},
        # ipar :: Vector{Int64},
        iflbvp :: Ref{Int64})

    # Keep problem functions in rpar
    # HACK!
    rpar = TWPBVPCProblem(fsub, dfsub, gsub, dgsub)

    # Fake external parameters
    # Can't have it 0-length as it would be Any[0] and not Float64[0]
    # local rpar :: Vector{Float64} = [0.0]
    local ipar :: Vector{Int64} = [0]

    # No need to pass these parameters
    # u is a matrix for the solution only!
    ncomp, nucol = size(u)
    # Get the maximum of xx
    nxxdim = length(xx)
    # max for mesh points must be the same as the number of column points of u
    assert(nucol == nxxdim)

    # Sizes of work arrays
    lwrkfl = length(wrk)
    lwrkin = length(iwrk)

    # Number of fixed mesh points
    if isnull(fixpnt)
        nfxpnt = 0
        fixpnt_v = [0.0]
    else
        fixpnt_v = get(fixpnt)
        nfxpnt = length(fixpnt_v)
    end

    # Size of tolerance vector ≤ ncomp
    ntol = length(ltol)

    ccall((:twpbvpc_, libtwpbvpc), Void,
        (Ref{Int64}, Ref{Int64},                    # ncomp, nlbc,
        Ref{Float64}, Ref{Float64},                 # aleft, aright
        Ref{Int64}, Ptr{Float64},                   # nfxpnt, fixpnt
        Ref{Int64}, Ptr{Int64}, Ptr{Float64},       # ntol, ltol, tol
        Ref{Int64}, Ref{Int64}, Ref{Int64},         # linear, givmsh, giveu
        Ref{Int64}, Ref{Int64},                     # nmsh, nxxdim
        Ptr{Float64}, Ref{Int64},                   # xx, nudim
        Ptr{Float64}, Ref{Int64},                   # u, nmax
        Ref{Int64}, Ptr{Float64},                   # lwrkfl, wrk
        Ref{Int64}, Ptr{Int64},                     # lwrkin, iwrk
        Ptr{Void}, Ptr{Void}, Ptr{Void}, Ptr{Void}, # fsub, dfsub, gsub, dgsub
        Ref{Float64}, Ref{Float64},                 # ckappa1, gamma1
        Ref{Float64}, Any, Ptr{Int64},              # ckappa, rpar, ipar
        Ref{Int64}),                                # iflbvp
        ncomp, nlbc, aleft, aright,
        nfxpnt, fixpnt_v, ntol, ltol, tol,
        linear, givmsh, giveu, nmsh,
        nxxdim, xx, nucol, u, nmax,                 # nudim = nucol
        lwrkfl, wrk, lwrkin, iwrk,
        fsub_ptr, dfsub_ptr, gsub_ptr, dgsub_ptr,
        ckappa1,gamma1,ckappa,pointer_from_objref(rpar),ipar,iflbvp)
end

Fortran的twpbvpc看起来像这样(显然是开始的):

  subroutine twpbvpc(ncomp, nlbc, aleft, aright,
 *       nfxpnt, fixpnt, ntol, ltol, tol,
 *       linear, givmsh, giveu, nmsh,
 *       nxxdim, xx, nudim, u, nmax,
 *       lwrkfl, wrk, lwrkin, iwrk,
 *       fsub, dfsub, gsub, dgsub,
 *       ckappa1,gamma1,ckappa,rpar,ipar,iflbvp)

  implicit double precision (a-h,o-z)
  dimension rpar(*),ipar(*)
  dimension fixpnt(*), ltol(*), tol(*)
  dimension xx(*), u(nudim,*)
  dimension wrk(lwrkfl), iwrk(lwrkin)

  logical linear, givmsh, giveu
  external fsub, dfsub, gsub, dgsub

  logical pdebug, use_c, comp_c
  common/algprs/ nminit, pdebug, iprint, idum, uval0, use_c, comp_c
  ...

Fortran代码使用build.jl进行编译:

cd(joinpath(Pkg.dir("TWPBVP"), "deps"))
pic = @windows ? "" : "-fPIC"
run(`gfortran -m$WORD_SIZE -fdefault-real-8 -fdefault-integer-8 -ffixed-form $pic -shared -O3 -o libtwpbvpc.so twpbvpc.f`)

因此，我将rpar传递为Any(应该等效于Ptr{Void}):尽管Fortran期望使用浮点数数组，但这无关紧要。

现在，当我尝试运行一个简单程序(在Pkg.test("TWPBVP")上)时，出现了段错误:

signal (11): Segmentation fault
while loading /home/alexey/.julia/v0.5/TWPBVP/test/runtests.jl, in expression starting on line 58
unknown function (ip: 0xffffffffffffffff)
Allocations: 1400208 (Pool: 1399373; Big: 835); GC: 0

由于代码变得很长，因此以下是指向github上完整代码的链接:https://github.com/mobius-eng/TWPBVP.jl

最佳答案

是的，ODEInterface.jl模型看起来很不错。

您需要了解的第一件事是fortran INTEGER类型的大小(Int32或Int64)。对于下面的代码，我将从ODEInterface.jl借用并使用FInt(它可以是类型参数，也可以是typealias)

产生的回退应类似于:

# SUBROUTINE FSUB(NCOMP,X,Z,F,RPAR,IPAR)
# IMPLICIT NONE
# INTEGER NCOMP, IPAR
# DOUBLE PRECISION F, Z, RPAR, X
# DIMENSION Z(*),F(*)
# DIMENSION RPAR(*), IPAR(*)
function unsafe_fsub(ncomp::Ref{FInt}, x::Ref{Float64}, z::Ptr{Float64},
        f::Ptr{Float64}, rpar::Ptr{Float64}, ipar::Ptr{FInt})::Void
    xx = x[]
    zz = unsafe_wrap(Array, z, ncomp[])
    ff = unsafe_wrap(Array, f, ncomp[])
    fsub!(xx, zz, ff) # function which updates array ff
    return nothing
end

const fsub_ptr = cfunction(unsafe_fsub, Void,
    (Ref{FInt},Ref{Float64},Ptr{Float64},Ptr{Float64},Ptr{Float64},Ptr{FInt}))

关于arrays - Julia回调中的Fortran数组，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/40482764/