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AbstractLinAlgPack: C++ Interfaces For Vectors, Matrices And Related Linear Algebra Objects
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00001 // @HEADER 00002 // *********************************************************************** 00003 // 00004 // Moocho: Multi-functional Object-Oriented arCHitecture for Optimization 00005 // Copyright (2003) Sandia Corporation 00006 // 00007 // Under terms of Contract DE-AC04-94AL85000, there is a non-exclusive 00008 // license for use of this work by or on behalf of the U.S. Government. 00009 // 00010 // Redistribution and use in source and binary forms, with or without 00011 // modification, are permitted provided that the following conditions are 00012 // met: 00013 // 00014 // 1. Redistributions of source code must retain the above copyright 00015 // notice, this list of conditions and the following disclaimer. 00016 // 00017 // 2. Redistributions in binary form must reproduce the above copyright 00018 // notice, this list of conditions and the following disclaimer in the 00019 // documentation and/or other materials provided with the distribution. 00020 // 00021 // 3. Neither the name of the Corporation nor the names of the 00022 // contributors may be used to endorse or promote products derived from 00023 // this software without specific prior written permission. 00024 // 00025 // THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "AS IS" AND ANY 00026 // EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE 00027 // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR 00028 // PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL SANDIA CORPORATION OR THE 00029 // CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, 00030 // EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, 00031 // PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR 00032 // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF 00033 // LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING 00034 // NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS 00035 // SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 00036 // 00037 // Questions? Contact Roscoe A. Bartlett (rabartl@sandia.gov) 00038 // 00039 // *********************************************************************** 00040 // @HEADER 00041 00042 00043 #include "AbstractLinAlgPack_VectorMutable.hpp" 00044 #include "AbstractLinAlgPack_VectorSubView.hpp" 00045 #include "RTOp_ROp_dot_prod.h" 00046 #include "RTOp_ROp_sum.h" 00047 #include "RTOp_ROp_norms.h" 00048 #include "RTOp_ROp_num_nonzeros.h" 00049 #include "RTOp_ROp_get_sub_vector.h" 00050 #include "RTOpPack_RTOpC.hpp" 00051 #include "RTOpPack_print_sub_vector.hpp" 00052 #include "Teuchos_dyn_cast.hpp" 00053 #include "Teuchos_Assert.hpp" 00054 #include "Teuchos_FancyOStream.hpp" 00055 00056 #include <limits> 00057 #include <ostream> 00058 00059 #include <assert.h> 00060 00061 00062 // Uncomment to ignore cache of reduction data 00063 //#define ALAP_VECTOR_IGNORE_CACHE_DATA 00064 00065 00066 namespace { 00067 00068 00069 // get element operator 00070 static RTOpPack::RTOpC sum_op; 00071 static Teuchos::RCP<RTOpPack::ReductTarget> sum_targ; 00072 // number nonzros 00073 static RTOpPack::RTOpC num_nonzeros_op; 00074 static Teuchos::RCP<RTOpPack::ReductTarget> num_nonzeros_targ; 00075 // Norm 1 00076 static RTOpPack::RTOpC norm_1_op; 00077 static Teuchos::RCP<RTOpPack::ReductTarget> norm_1_targ; 00078 // Norm 2 00079 static RTOpPack::RTOpC norm_2_op; 00080 static Teuchos::RCP<RTOpPack::ReductTarget> norm_2_targ; 00081 // Norm inf 00082 static RTOpPack::RTOpC norm_inf_op; 00083 static Teuchos::RCP<RTOpPack::ReductTarget> norm_inf_targ; 00084 // get sub-vector operator 00085 static RTOpPack::RTOpC get_sub_vector_op; 00086 00087 00088 // Simple class for an object that will initialize the RTOp_Server and operators. 00089 class init_rtop_server_t { 00090 public: 00091 init_rtop_server_t() { 00092 // Operator and target for getting a vector element 00093 TEUCHOS_TEST_FOR_EXCEPT(0!=RTOp_ROp_sum_construct(&sum_op.op())); 00094 sum_targ = sum_op.reduct_obj_create(); 00095 // Operator and target for norm 1 00096 TEUCHOS_TEST_FOR_EXCEPT(0!=RTOp_ROp_num_nonzeros_construct(&num_nonzeros_op.op())); 00097 num_nonzeros_targ = num_nonzeros_op.reduct_obj_create(); 00098 // Operator and target for norm 1 00099 TEUCHOS_TEST_FOR_EXCEPT(0!=RTOp_ROp_norm_1_construct(&norm_1_op.op())); 00100 norm_1_targ = norm_1_op.reduct_obj_create(); 00101 // Operator and target for norm 1 00102 TEUCHOS_TEST_FOR_EXCEPT(0!=RTOp_ROp_norm_2_construct(&norm_2_op.op())); 00103 norm_2_targ = norm_2_op.reduct_obj_create(); 00104 // Operator and target for norm 1 00105 TEUCHOS_TEST_FOR_EXCEPT(0!=RTOp_ROp_norm_inf_construct(&norm_inf_op.op())); 00106 norm_inf_targ = norm_inf_op.reduct_obj_create(); 00107 // Get sub-vector operator 00108 TEUCHOS_TEST_FOR_EXCEPT(0!=RTOp_ROp_get_sub_vector_construct(1,1,&get_sub_vector_op.op())); 00109 } 00110 }; 00111 00112 00113 // When the program starts, this object will be created 00114 init_rtop_server_t init_rtop_server; 00115 00116 00117 } // end namespace 00118 00119 00120 namespace AbstractLinAlgPack { 00121 00122 00123 Vector::Vector() 00124 :num_nonzeros_(-1), norm_1_(-1.0), norm_2_(-1.0), norm_inf_(-1.0) // uninitalized 00125 {} 00126 00127 00128 index_type Vector::dim() const 00129 { 00130 return this->space().dim(); 00131 } 00132 00133 00134 index_type Vector::nz() const 00135 { 00136 #ifdef ALAP_VECTOR_IGNORE_CACHE_DATA 00137 { 00138 #else 00139 if( num_nonzeros_ < 0 ) { 00140 #endif 00141 num_nonzeros_op.reduct_obj_reinit(num_nonzeros_targ.ptr()); 00142 const Vector *vecs[1] = { this }; 00143 AbstractLinAlgPack::apply_op(num_nonzeros_op,1,vecs,0,NULL,&*num_nonzeros_targ); 00144 num_nonzeros_ = RTOp_ROp_num_nonzeros_val(num_nonzeros_op(*num_nonzeros_targ)); 00145 } 00146 return num_nonzeros_; 00147 } 00148 00149 00150 std::ostream& Vector::output( 00151 std::ostream& out_arg, bool print_dim, bool newline, 00152 index_type global_offset 00153 ) const 00154 { 00155 Teuchos::RCP<Teuchos::FancyOStream> out = Teuchos::getFancyOStream(Teuchos::rcp(&out_arg,false)); 00156 Teuchos::OSTab tab(out); 00157 RTOpPack::SubVector sub_vec; 00158 this->get_sub_vector( Range1D(), &sub_vec ); 00159 RTOpPack::SubVector sub_vec_print( sub_vec.globalOffset() + global_offset, sub_vec.subDim(), sub_vec.values(), sub_vec.stride() ); 00160 RTOpPack::output(*out,sub_vec_print,print_dim,newline); 00161 this->free_sub_vector( &sub_vec ); 00162 return out_arg; 00163 } 00164 00165 00166 VectorMutable::vec_mut_ptr_t Vector::clone() const 00167 { 00168 vec_mut_ptr_t 00169 vec = this->space().create_member(); 00170 *vec = *this; 00171 return vec; 00172 } 00173 00174 00175 value_type Vector::get_ele(index_type i) const 00176 { 00177 sum_op.reduct_obj_reinit(sum_targ.ptr()); 00178 const Vector *vecs[1] = { this }; 00179 AbstractLinAlgPack::apply_op( 00180 sum_op,1,vecs,0,NULL,&*sum_targ 00181 ,i,1,0 // first_ele, sub_dim, global_offset 00182 ); 00183 return RTOp_ROp_sum_val(sum_op(*sum_targ)); 00184 } 00185 00186 00187 value_type Vector::norm_1() const 00188 { 00189 #ifdef ALAP_VECTOR_IGNORE_CACHE_DATA 00190 { 00191 #else 00192 if( norm_1_ < 0.0 ) { 00193 #endif 00194 norm_1_op.reduct_obj_reinit(norm_1_targ.ptr()); 00195 const Vector *vecs[1] = { this }; 00196 AbstractLinAlgPack::apply_op(norm_1_op,1,vecs,0,NULL,&*norm_1_targ); 00197 norm_1_ = RTOp_ROp_norm_1_val(norm_1_op(*norm_1_targ)); 00198 } 00199 return norm_1_; 00200 } 00201 00202 00203 value_type Vector::norm_2() const 00204 { 00205 #ifdef ALAP_VECTOR_IGNORE_CACHE_DATA 00206 { 00207 #else 00208 if( norm_2_ < 0.0 ) { 00209 #endif 00210 norm_2_op.reduct_obj_reinit(norm_2_targ.ptr()); 00211 const Vector *vecs[1] = { this }; 00212 AbstractLinAlgPack::apply_op(norm_2_op,1,vecs,0,NULL,&*norm_2_targ); 00213 norm_2_ = RTOp_ROp_norm_2_val(norm_2_op(*norm_2_targ)); 00214 } 00215 return norm_2_; 00216 } 00217 00218 00219 value_type Vector::norm_inf() const 00220 { 00221 #ifdef ALAP_VECTOR_IGNORE_CACHE_DATA 00222 { 00223 #else 00224 if( norm_inf_ < 0.0 ) { 00225 #endif 00226 norm_inf_op.reduct_obj_reinit(norm_inf_targ.ptr()); 00227 const Vector *vecs[1] = { this }; 00228 AbstractLinAlgPack::apply_op(norm_inf_op,1,vecs,0,NULL,&*norm_inf_targ); 00229 norm_inf_ = RTOp_ROp_norm_inf_val(norm_inf_op(*norm_inf_targ)); 00230 } 00231 return norm_inf_; 00232 } 00233 00234 00235 value_type Vector::inner_product( const Vector& v ) const 00236 { 00237 return this->space().inner_prod()->inner_prod(*this,v); 00238 } 00239 00240 Vector::vec_ptr_t 00241 Vector::sub_view( const Range1D& rng_in ) const 00242 { 00243 namespace rcp = MemMngPack; 00244 const index_type dim = this->dim(); 00245 const Range1D rng = rng_in.full_range() ? Range1D(1,dim) : rng_in; 00246 #ifdef TEUCHOS_DEBUG 00247 TEUCHOS_TEST_FOR_EXCEPTION( 00248 rng.ubound() > dim, std::out_of_range 00249 ,"Vector::sub_view(rng): Error, rng = ["<<rng.lbound()<<","<<rng.ubound()<<"] " 00250 "is not in the range [1,this->dim()] = [1,"<<dim<<"]" ); 00251 #endif 00252 if( rng.lbound() == 1 && rng.ubound() == dim ) 00253 return vec_ptr_t( this, false ); 00254 return Teuchos::rcp( 00255 new VectorSubView( 00256 vec_ptr_t( this, false ) 00257 ,rng ) ); 00258 } 00259 00260 00261 void Vector::get_sub_vector( const Range1D& rng_in, RTOpPack::SubVector* sub_vec_inout ) const 00262 { 00263 const Range1D rng = rng_in.full_range() ? Range1D(1,this->space().dim()) : rng_in; 00264 #ifdef TEUCHOS_DEBUG 00265 TEUCHOS_TEST_FOR_EXCEPTION( 00266 this->space().dim() < rng.ubound(), std::out_of_range 00267 ,"Vector::get_sub_vector(rng,...): Error, rng = ["<<rng.lbound()<<","<<rng.ubound() 00268 <<"] is not in range = [1,"<<this->space().dim()<<"]" ); 00269 #endif 00270 // Free sub_vec if needed (note this is dependent on the implemenation of this operator class!) 00271 if( sub_vec_inout->values() ) { 00272 std::free( (void*)sub_vec_inout->values() ); 00273 } 00274 // Initialize the operator 00275 RTOpPack::RTOpC get_sub_vector_op; 00276 TEUCHOS_TEST_FOR_EXCEPT(0!=RTOp_ROp_get_sub_vector_construct(rng.lbound(),rng.ubound(),&get_sub_vector_op.op())); 00277 // Create the reduction object (another sub_vec) 00278 Teuchos::RCP<RTOpPack::ReductTarget> reduct_obj = get_sub_vector_op.reduct_obj_create(); // This is really of type RTOpPack::ConstSubVectorView<Scalar>! 00279 // Perform the reduction (get the sub-vector requested) 00280 const size_t num_vecs = 1; 00281 const Vector* sub_vecs[num_vecs] = { this }; 00282 AbstractLinAlgPack::apply_op( 00283 get_sub_vector_op,num_vecs,sub_vecs,0,NULL,&*reduct_obj 00284 ,rng.lbound(),rng.size(),rng.lbound()-1 // first_ele, sub_dim, global_offset 00285 ); 00286 // Set the sub-vector. Note reduct_obj will go out of scope so the sub_vec parameter will 00287 // own the memory allocated within get_sub_vector_op.create_reduct_obj_raw(...). This is okay 00288 // since the client is required to call release_sub_vector(...) so release memory! 00289 RTOp_ReductTarget reduct_obj_raw = get_sub_vector_op(*reduct_obj); 00290 RTOp_SubVector sub_vec = RTOp_ROp_get_sub_vector_val(reduct_obj_raw); 00291 sub_vec_inout->initialize(sub_vec.global_offset,sub_vec.sub_dim,sub_vec.values,sub_vec.values_stride);\ 00292 reduct_obj.release(); // Do not allow delete to be called! 00293 std::free(reduct_obj_raw); // Now *sub_vec owns the values[] and indices[] arrays! 00294 } 00295 00296 00297 void Vector::free_sub_vector( RTOpPack::SubVector* sub_vec ) const 00298 { 00299 // Free sub_vec if needed (note this is dependent on the implemenation of this operator class!) 00300 if( sub_vec->values() ) 00301 std::free( (void*)sub_vec->values() ); 00302 sub_vec->set_uninitialized(); 00303 } 00304 00305 00306 void Vector::has_changed() const 00307 { 00308 num_nonzeros_= -1; // uninitalized; 00309 norm_1_ = norm_2_ = norm_inf_ = -1.0; 00310 } 00311 00312 00313 // protected 00314 00315 00316 void Vector::finalize_apply_op( 00317 const size_t num_targ_vecs, VectorMutable** targ_vecs 00318 ) const 00319 { 00320 for( size_t k = 0; k < num_targ_vecs; ++k ) 00321 targ_vecs[k]->has_changed(); 00322 } 00323 00324 00325 } // end namespace AbstractLinAlgPack 00326 00327 00328 // nonmember functions 00329 00330 00331 void AbstractLinAlgPack::apply_op( 00332 const RTOpPack::RTOp &op 00333 ,const size_t num_vecs 00334 ,const Vector* vecs[] 00335 ,const size_t num_targ_vecs 00336 ,VectorMutable* targ_vecs[] 00337 ,RTOpPack::ReductTarget *reduct_obj 00338 ,const index_type first_ele 00339 ,const index_type sub_dim 00340 ,const index_type global_offset 00341 ) 00342 { 00343 if(num_vecs) 00344 vecs[0]->apply_op(op,num_vecs,vecs,num_targ_vecs,targ_vecs,reduct_obj,first_ele,sub_dim,global_offset); 00345 else if (num_targ_vecs) 00346 targ_vecs[0]->apply_op(op,num_vecs,vecs,num_targ_vecs,targ_vecs,reduct_obj,first_ele,sub_dim,global_offset); 00347 }
1.7.6.1