Files
ceres-solver/internal/ceres/block_jacobian_writer.cc
T
Keir Mierle f44907f702 Compute the gradient if requested in the evaluator
This extends the Evaluator interface to support evaluating the
gradient in addition to the residuals and jacobian, if requested.

   bool Evaluate(const double* state,
                 double* cost,
                 double* residuals,
                 double* gradient,  <----------- NEW
                 SparseMatrix* jacobian) = 0;

The ProgramEvaluator is extended to support the new gradient
evaluation. This required some gymnastics around the block
evaluate preparer, which now contains a scratch evaluate preparer
for the case that no jacobian is requested but the gradient is.

Gradient evaluation is a prerequisite for the planned suite of
first order methods, including nonlinear conjugate gradient,
CG_DESCENT, L-BFGS, trust region with line search, and more.

This also considerably refactors the evaluator_test to make it
shorter and check the results for all combinations of the optional
parameters [residuals, gradient, jacobian].

Change-Id: Ic7d0fec028dc5ffebc08ee079ad04eeaf6e02582
2012-07-11 09:44:45 -07:00

213 lines
8.4 KiB
C++

// 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 "ceres/block_jacobian_writer.h"
#include "ceres/block_evaluate_preparer.h"
#include "ceres/block_sparse_matrix.h"
#include "ceres/parameter_block.h"
#include "ceres/program.h"
#include "ceres/residual_block.h"
#include "ceres/internal/eigen.h"
#include "ceres/internal/port.h"
#include "ceres/internal/scoped_ptr.h"
namespace ceres {
namespace internal {
namespace {
// Given the residual block ordering, build a lookup table to determine which
// per-parameter jacobian goes where in the overall program jacobian.
//
// Since we expect to use a Schur type linear solver to solve the LM step, take
// extra care to place the E blocks and the F blocks contiguously. E blocks are
// the first num_eliminate_blocks parameter blocks as indicated by the parameter
// block ordering. The remaining parameter blocks are the F blocks.
//
// TODO(keir): Consider if we should use a boolean for each parameter block
// instead of num_eliminate_blocks.
void BuildJacobianLayout(const Program& program,
int num_eliminate_blocks,
vector<int*>* jacobian_layout,
vector<int>* jacobian_layout_storage) {
const vector<ResidualBlock*>& residual_blocks = program.residual_blocks();
// Iterate over all the active residual blocks and determine how many E blocks
// are there. This will determine where the F blocks start in the jacobian
// matrix. Also compute the number of jacobian blocks.
int f_block_pos = 0;
int num_jacobian_blocks = 0;
for (int i = 0; i < residual_blocks.size(); ++i) {
ResidualBlock* residual_block = residual_blocks[i];
const int num_residuals = residual_block->NumResiduals();
const int num_parameter_blocks = residual_block->NumParameterBlocks();
// Advance f_block_pos over each E block for this residual.
for (int j = 0; j < num_parameter_blocks; ++j) {
ParameterBlock* parameter_block = residual_block->parameter_blocks()[j];
if (!parameter_block->IsConstant()) {
// Only count blocks for active parameters.
num_jacobian_blocks++;
if (parameter_block->index() < num_eliminate_blocks) {
f_block_pos += num_residuals * parameter_block->LocalSize();
}
}
}
}
// We now know that the E blocks are laid out starting at zero, and the F
// blocks are laid out starting at f_block_pos. Iterate over the residual
// blocks again, and this time fill the jacobian_layout array with the
// position information.
jacobian_layout->resize(program.NumResidualBlocks());
jacobian_layout_storage->resize(num_jacobian_blocks);
int e_block_pos = 0;
int* jacobian_pos = &(*jacobian_layout_storage)[0];
for (int i = 0; i < residual_blocks.size(); ++i) {
const ResidualBlock* residual_block = residual_blocks[i];
const int num_residuals = residual_block->NumResiduals();
const int num_parameter_blocks = residual_block->NumParameterBlocks();
(*jacobian_layout)[i] = jacobian_pos;
for (int j = 0; j < num_parameter_blocks; ++j) {
ParameterBlock* parameter_block = residual_block->parameter_blocks()[j];
const int parameter_block_index = parameter_block->index();
if (parameter_block->IsConstant()) {
continue;
}
const int jacobian_block_size =
num_residuals * parameter_block->LocalSize();
if (parameter_block_index < num_eliminate_blocks) {
*jacobian_pos = e_block_pos;
e_block_pos += jacobian_block_size;
} else {
*jacobian_pos = f_block_pos;
f_block_pos += jacobian_block_size;
}
jacobian_pos++;
}
}
}
} // namespace
BlockJacobianWriter::BlockJacobianWriter(const Evaluator::Options& options,
Program* program)
: program_(program) {
CHECK_GE(options.num_eliminate_blocks, 0)
<< "num_eliminate_blocks must be greater than 0.";
BuildJacobianLayout(*program,
options.num_eliminate_blocks,
&jacobian_layout_,
&jacobian_layout_storage_);
}
// Create evaluate prepareres that point directly into the final jacobian. This
// makes the final Write() a nop.
BlockEvaluatePreparer* BlockJacobianWriter::CreateEvaluatePreparers(
int num_threads) {
int max_derivatives_per_residual_block =
program_->MaxDerivativesPerResidualBlock();
BlockEvaluatePreparer* preparers = new BlockEvaluatePreparer[num_threads];
for (int i = 0; i < num_threads; i++) {
preparers[i].Init(&jacobian_layout_[0], max_derivatives_per_residual_block);
}
return preparers;
}
SparseMatrix* BlockJacobianWriter::CreateJacobian() const {
CompressedRowBlockStructure* bs = new CompressedRowBlockStructure;
const vector<ParameterBlock*>& parameter_blocks =
program_->parameter_blocks();
// Construct the column blocks.
bs->cols.resize(parameter_blocks.size());
for (int i = 0, cursor = 0; i < parameter_blocks.size(); ++i) {
CHECK_NE(parameter_blocks[i]->index(), -1);
CHECK(!parameter_blocks[i]->IsConstant());
bs->cols[i].size = parameter_blocks[i]->LocalSize();
bs->cols[i].position = cursor;
cursor += bs->cols[i].size;
}
// Construct the cells in each row.
const vector<ResidualBlock*>& residual_blocks =
program_->residual_blocks();
int row_block_position = 0;
bs->rows.resize(residual_blocks.size());
for (int i = 0; i < residual_blocks.size(); ++i) {
const ResidualBlock* residual_block = residual_blocks[i];
CompressedRow* row = &bs->rows[i];
row->block.size = residual_block->NumResiduals();
row->block.position = row_block_position;
row_block_position += row->block.size;
// Size the row by the number of active parameters in this residual.
const int num_parameter_blocks = residual_block->NumParameterBlocks();
int num_active_parameter_blocks = 0;
for (int j = 0; j < num_parameter_blocks; ++j) {
if (residual_block->parameter_blocks()[j]->index() != -1) {
num_active_parameter_blocks++;
}
}
row->cells.resize(num_active_parameter_blocks);
// Add layout information for the active parameters in this row.
for (int j = 0, k = 0; j < num_parameter_blocks; ++j) {
const ParameterBlock* parameter_block =
residual_block->parameter_blocks()[j];
if (!parameter_block->IsConstant()) {
Cell& cell = row->cells[k];
cell.block_id = parameter_block->index();
cell.position = jacobian_layout_[i][k];
// Only increment k for active parameters, since there is only layout
// information for active parameters.
k++;
}
}
sort(row->cells.begin(), row->cells.end(), CellLessThan);
}
BlockSparseMatrix* jacobian = new BlockSparseMatrix(bs);
CHECK_NOTNULL(jacobian);
return jacobian;
}
} // namespace internal
} // namespace ceres