diff options
| -rw-r--r-- | src/Python/fista_module.cpp | 6 |
1 files changed, 0 insertions, 6 deletions
diff --git a/src/Python/fista_module.cpp b/src/Python/fista_module.cpp index f8fd812..94d156c 100644 --- a/src/Python/fista_module.cpp +++ b/src/Python/fista_module.cpp @@ -408,14 +408,11 @@ bp::list FGP_TV(np::ndarray input, double d_mu, int iter, double d_epsil, int me /* begin iterations */ for (ll = 0; ll<iter; ll++) { - std::cout << "iteration " << ll << " D[0]" << D[0] << std::endl; /* computing the gradient of the objective function */ Obj_func2D(A, D, R1, R2, lambda, dimX, dimY); - std::cout << "Obj_func2D D[0] " << D[0]<< " A[0]" << A[0] << " R1[0] " << R1[0] << " R2[0] " << R2[0] << " lambda " << lambda << " dimX " << dimX << " dimY " << dimY << std::endl; /*Taking a step towards minus of the gradient*/ Grad_func2D(P1, P2, D, R1, R2, lambda, dimX, dimY); - std::cout << "Grad_func2D D[0] " << D[0]<< " P1[0]" << P1[0] << " P2[0] " << P2[0] << " R1[0] " << R1[0] << " R2[0] " << R2[0] << " lambda " << lambda << " dimX " << dimX << " dimY " << dimY << std::endl; @@ -435,7 +432,6 @@ bp::list FGP_TV(np::ndarray input, double d_mu, int iter, double d_epsil, int me if (re < epsil) count++; if (count > 3) { Obj_func2D(A, D, P1, P2, lambda, dimX, dimY); - std::cout << "Obj_func2D D[0] " << D[0]<< " A[0]" << A[0] << " R1[0] " << R1[0] << " R2[0] " << R2[0] << " lambda " << lambda << " dimX " << dimX << " dimY " << dimY << std::endl; funcval = 0.0f; for (j = 0; j<dimX*dimY*dimZ; j++) funcval += pow(D[j], 2); //funcvalA[0] = sqrt(funcval); @@ -448,7 +444,6 @@ bp::list FGP_TV(np::ndarray input, double d_mu, int iter, double d_epsil, int me if (ll > 2) { if (re > re_old) { Obj_func2D(A, D, P1, P2, lambda, dimX, dimY); - std::cout << "Obj_func2D D[0] " << D[0]<< " A[0]" << A[0] << " R1[0] " << R1[0] << " R2[0] " << R2[0] << " lambda " << lambda << " dimX " << dimX << " dimY " << dimY << std::endl; funcval = 0.0f; for (j = 0; j<dimX*dimY*dimZ; j++) funcval += pow(D[j], 2); //funcvalA[0] = sqrt(funcval); @@ -469,7 +464,6 @@ bp::list FGP_TV(np::ndarray input, double d_mu, int iter, double d_epsil, int me /* calculating the objective function value */ if (ll == (iter - 1)) { Obj_func2D(A, D, P1, P2, lambda, dimX, dimY); - std::cout << "Obj_func2D D[0] " << D[0]<< " A[0]" << A[0] << " R1[0] " << R1[0] << " R2[0] " << R2[0] << " lambda " << lambda << " dimX " << dimX << " dimY " << dimY << std::endl; funcval = 0.0f; for (j = 0; j<dimX*dimY*dimZ; j++) funcval += pow(D[j], 2); //funcvalA[0] = sqrt(funcval); |