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+// Ceres Solver - A fast non-linear least squares minimizer
+// Copyright 2010, 2011, 2012 Google Inc. All rights reserved.
+// http://code.google.com/p/ceres-solver/
+//
+// Redistribution and use in source and binary forms, with or without
+// modification, are permitted provided that the following conditions are met:
+//
+// * Redistributions of source code must retain the above copyright notice,
+// this list of conditions and the following disclaimer.
+// * Redistributions in binary form must reproduce the above copyright notice,
+// this list of conditions and the following disclaimer in the documentation
+// and/or other materials provided with the distribution.
+// * Neither the name of Google Inc. nor the names of its contributors may be
+// used to endorse or promote products derived from this software without
+// specific prior written permission.
+//
+// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
+// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
+// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
+// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
+// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
+// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
+// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
+// POSSIBILITY OF SUCH DAMAGE.
+//
+// Author: keir@google.com (Keir Mierle)
+
+#include <vector>
+#include "ceres/block_evaluate_preparer.h"
+#include "ceres/block_jacobian_writer.h"
+#include "ceres/compressed_row_jacobian_writer.h"
+#include "ceres/compressed_row_sparse_matrix.h"
+#include "ceres/crs_matrix.h"
+#include "ceres/dense_jacobian_writer.h"
+#include "ceres/evaluator.h"
+#include "ceres/internal/port.h"
+#include "ceres/program_evaluator.h"
+#include "ceres/scratch_evaluate_preparer.h"
+#include "glog/logging.h"
+
+namespace ceres {
+namespace internal {
+
+Evaluator::~Evaluator() {}
+
+Evaluator* Evaluator::Create(const Evaluator::Options& options,
+ Program* program,
+ string* error) {
+ switch (options.linear_solver_type) {
+ case DENSE_QR:
+ case DENSE_NORMAL_CHOLESKY:
+ return new ProgramEvaluator<ScratchEvaluatePreparer,
+ DenseJacobianWriter>(options,
+ program);
+ case DENSE_SCHUR:
+ case SPARSE_SCHUR:
+ case ITERATIVE_SCHUR:
+ case CGNR:
+ return new ProgramEvaluator<BlockEvaluatePreparer,
+ BlockJacobianWriter>(options,
+ program);
+ case SPARSE_NORMAL_CHOLESKY:
+ return new ProgramEvaluator<ScratchEvaluatePreparer,
+ CompressedRowJacobianWriter>(options,
+ program);
+ default:
+ *error = "Invalid Linear Solver Type. Unable to create evaluator.";
+ return NULL;
+ }
+}
+
+bool Evaluator::Evaluate(Program* program,
+ int num_threads,
+ double* cost,
+ vector<double>* residuals,
+ vector<double>* gradient,
+ CRSMatrix* output_jacobian) {
+ CHECK_GE(num_threads, 1)
+ << "This is a Ceres bug; please contact the developers!";
+ CHECK_NOTNULL(cost);
+
+ // Setup the Parameter indices and offsets before an evaluator can
+ // be constructed and used.
+ program->SetParameterOffsetsAndIndex();
+
+ Evaluator::Options evaluator_options;
+ evaluator_options.linear_solver_type = SPARSE_NORMAL_CHOLESKY;
+ evaluator_options.num_threads = num_threads;
+
+ string error;
+ scoped_ptr<Evaluator> evaluator(
+ Evaluator::Create(evaluator_options, program, &error));
+ if (evaluator.get() == NULL) {
+ LOG(ERROR) << "Unable to create an Evaluator object. "
+ << "Error: " << error
+ << "This is a Ceres bug; please contact the developers!";
+ return false;
+ }
+
+ if (residuals !=NULL) {
+ residuals->resize(evaluator->NumResiduals());
+ }
+
+ if (gradient != NULL) {
+ gradient->resize(evaluator->NumEffectiveParameters());
+ }
+
+ scoped_ptr<CompressedRowSparseMatrix> jacobian;
+ if (output_jacobian != NULL) {
+ jacobian.reset(
+ down_cast<CompressedRowSparseMatrix*>(evaluator->CreateJacobian()));
+ }
+
+ // Point the state pointers to the user state pointers. This is
+ // needed so that we can extract a parameter vector which is then
+ // passed to Evaluator::Evaluate.
+ program->SetParameterBlockStatePtrsToUserStatePtrs();
+
+ // Copy the value of the parameter blocks into a vector, since the
+ // Evaluate::Evaluate method needs its input as such. The previous
+ // call to SetParameterBlockStatePtrsToUserStatePtrs ensures that
+ // these values are the ones corresponding to the actual state of
+ // the parameter blocks, rather than the temporary state pointer
+ // used for evaluation.
+ Vector parameters(program->NumParameters());
+ program->ParameterBlocksToStateVector(parameters.data());
+
+ if (!evaluator->Evaluate(parameters.data(),
+ cost,
+ residuals != NULL ? &(*residuals)[0] : NULL,
+ gradient != NULL ? &(*gradient)[0] : NULL,
+ jacobian.get())) {
+ return false;
+ }
+
+ if (output_jacobian != NULL) {
+ jacobian->ToCRSMatrix(output_jacobian);
+ }
+
+ return true;
+}
+
+} // namespace internal
+} // namespace ceres