Actual source code: adelement.c

  1: #ifdef ad_GRAD_MAX
  2: #undef ad_GRAD_MAX
  3: #endif
  4: #define ad_GRAD_MAX 4

 6:  #include taodaapplication.h
 7:  #include taoapp.h

  9: //#include "ad_deriv.h"

 11: /* Function Gradient Evaluation over single element  */
 12: typedef struct {
 13:   int (*computeadicfunctiongradient)(int[2],DERIV_TYPE[4],DERIV_TYPE*,void*);
 14:   void *elementfgctx;
 15:   int elementfgflops;
 16:   DERIV_TYPE adX[4];
 17: } TaoDA2D1DOFADICFGCtx;


 22: static int TaoDA2dLoopADFunctionGradient(TAO_APPLICATION tao, DA da, Vec X, double *f, Vec G, void * ctx) {

 24:   TaoDA2D1DOFADICFGCtx *myapp = (TaoDA2D1DOFADICFGCtx*) ctx;
 25:   MPI_Comm comm;
 26:   Vec localX, localG;
 27:   int info, i, j, coor[2];
 28:   int xs, xm, gxs, gxm, xe, ys, ym, gys, gym, ye;
 29:   PetscScalar **x, **g;
 30:   PetscScalar floc = 0.0;
 31:   PetscScalar zero = 0.0;
 32:   DERIV_TYPE adF,*adX=myapp->adX;

 34:   info = DAGetLocalVector(da, &localX); CHKERRQ(info);
 35:   info = DAGetLocalVector(da, &localG); CHKERRQ(info);
 36:   info = VecSet(G, zero); CHKERRQ(info);
 37:   info = VecSet(localG, zero); CHKERRQ(info);

 39:   info = DAGlobalToLocalBegin(da, X, INSERT_VALUES, localX); CHKERRQ(info);
 40:   info = DAGlobalToLocalEnd(da, X, INSERT_VALUES, localX); CHKERRQ(info);

 42:   info = DAVecGetArray(da, localX, (void**)&x); CHKERRQ(info);
 43:   info = DAVecGetArray(da, localG, (void**)&g); CHKERRQ(info);

 45:   info = DAGetCorners(da, &xs, &ys, PETSC_NULL, &xm, &ym, PETSC_NULL); CHKERRQ(info);
 46:   info = DAGetGhostCorners(da, &gxs, &gys, PETSC_NULL, &gxm, &gym, PETSC_NULL); CHKERRQ(info);

 48:   xe = gxs + gxm - 1;
 49:   ye = gys + gym - 1;

 51:   for (j = ys; j < ye; j++) {
 52:     for (i = xs; i < xe; i++) {

 54:         DERIV_val(adX[0]) = x[j][i];
 55:         DERIV_val(adX[1]) = x[j][i+1];
 56:         DERIV_val(adX[2]) = x[j+1][i];
 57:         DERIV_val(adX[3]) = x[j+1][i+1];
 58:         coor[0] = i; coor[1] = j;

 60:         info = myapp->computeadicfunctiongradient(coor,adX,&adF,myapp->elementfgctx);
 61:         CHKERRQ(info);

 63:         floc += DERIV_val(adF);

 65:         g[j][i] += DERIV_grad(adF)[0];
 66:         g[j][i+1] += DERIV_grad(adF)[1];
 67:         g[j+1][i] += DERIV_grad(adF)[2];
 68:         g[j+1][i+1] += DERIV_grad(adF)[3];
 69:     }
 70:   }

 72:   PetscLogFlops((ye-ys)*(xe-xs)*(myapp->elementfgflops + 5));

 74:   PetscObjectGetComm((PetscObject)da,&comm); CHKERRQ(info);
 75:   info = MPI_Allreduce(&floc, f, 1, MPI_DOUBLE, MPI_SUM, comm); CHKERRQ(info);

 77:   info = DAVecRestoreArray(da, localX, (void**)&x); CHKERRQ(info);
 78:   info = DAVecRestoreArray(da, localG, (void**)&g); CHKERRQ(info);

 80:   info = DALocalToGlobalBegin(da, localG, G); CHKERRQ(info);
 81:   info = DALocalToGlobalEnd(da, localG, G); CHKERRQ(info);

 83:   info = DARestoreLocalVector(da, &localX); CHKERRQ(info);
 84:   info = DARestoreLocalVector(da, &localG); CHKERRQ(info);

 86:   return(0);
 87: } /* TaoDA2dLoopADFunctionGradient */

 91: static int TaoShutDownADICQQQQ(void* ctx){
 93:   ad_AD_Final();
 94:   return(0);
 95: }

 99: /*@
100:    DAAppSetADElementFunctionGradient - Set routine that evaluates the
101:    local part of a function on a 2-dimensional DA with 1 degree of freedom. 

103:    Collective on TAO_APPLICATION

105:    Input Parameters:
106: +  daapp - the TAO_DA_APPLICATION solver context
107: .  funcgrad - local function gradient routine
108: .  flops - the number of flops done performed in the funcgrad routine
109: -  fgctx - [optional] user-defined context for private data for the evaluation.

111:    Calling sequence of funcgrad:
112: $     int funcgrad(int coordinates[2], PetscScalar x[4], double *f, PetscScalar g[4], void* ctx)

114: +    coord - the global coordinates [i j] in each direction of the DA
115: .    x - the variables on the DA ( da[j][i], da[j][j+1], da[j+1][i], da[j+1][i+1] ) (bottom left, bottom right, top left, top right)
116: .    g - the ADIC differentiated objective function with respect to each variable
117: -    ctx - user defined context


120:    Level: intermediate

122: .keywords: DA, gradient, ADIC

124: .seealso:  DAAppSetObjectiveAndGradientRoutine(), DAAppSetElementObjectiveAndGradientRoutine()
125: @*/
126: int DAAppSetADElementFunctionGradient(TAO_APPLICATION daapplication, 
127:                                          int (*funcgrad)(int[2],DERIV_TYPE[4],DERIV_TYPE*,void*),
128:                                          int flops, void *ctx){
129:   int i,n,info;
130:   int dim,dof,s;
131:   DAStencilType st;
132:   TaoDA2D1DOFADICFGCtx *fgctx;
133:   DA da;

136:   info=DAAppGetNumberOfDAGrids(daapplication,&n); CHKERRQ(info);
137:   for (i=0;i<n;i++){
138:     info = DAAppGetDA(daapplication, i, &da); CHKERRQ(info);
139:     info = DAGetInfo(da,&dim,0,0,0,0,0,0,&dof,&s,0,&st); CHKERRQ(info);
140:     if (dim!=2){
141:       SETERRQ(1,"TAO DA ERROR: DA must have dimension of 2");}
142:     if (dof!=1){
143:       SETERRQ(1,"TAO DA ERROR: DA must have exactly 1 degree of freedom per node");}
144:     if (s!=1){
145:       SETERRQ(1,"TAO DA ERROR: DA stencil width must equal 1"); }
146:     if (st!=DA_STENCIL_BOX){
147:       SETERRQ(1,"TAO DA ERROR: DA stencil must be DA_STENCIL_BOX");}
148:   }
149:   PetscNew(TaoDA2D1DOFADICFGCtx,&fgctx);
150:   //  ad_AD_Init(4);
151:   ad_AD_Init(ad_GRAD_MAX);
152:   ad_AD_SetIndepArray(fgctx->adX,4);
153:   ad_AD_SetIndepDone();
154:   fgctx->computeadicfunctiongradient=funcgrad;
155:   fgctx->elementfgctx=ctx;
156:   fgctx->elementfgflops=flops;
157:   info = DAAppSetObjectiveAndGradientRoutine(daapplication, TaoDA2dLoopADFunctionGradient, (void*)fgctx);
158:   CHKERRQ(info);
159:   info = TaoAppSetDestroyRoutine(daapplication,TaoApplicationFreeMemory, (void*)fgctx); CHKERRQ(info);
160:   info = TaoAppSetDestroyRoutine(daapplication, TaoShutDownADICQQQQ, 0); CHKERRQ(info);
161:   info = PetscLogInfo((daapplication,"Set objective function pointer for TAO_DA_APPLICATION object.\n")); CHKERRQ(info);
162:   return(0);
163: }