Minor fixes

Based on William Rucklidge's review, including
a nasty bug in parameter block removal.

Change-Id: I3a692e589f600ff560ecae9fa85bb0b76063d403
This commit is contained in:
Sameer Agarwal
2013-02-22 13:37:01 -08:00
parent 9a88bd7c4b
commit beb4505311
9 changed files with 32 additions and 28 deletions
+13 -7
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@@ -51,13 +51,19 @@
namespace ceres {
// Trivial wrapper to index linear arrays as matrices, given a fixed column and
// row stride. When an array "T* arr" is wrapped by a
// "(const) MatrixAdapter<T, row_stride, col_stride> M", the expression "M(i, j)" is
// equivalent to "arr[i * row_stride + j * col_stride]".
// Conversion functions to and from rotation matrices accept MatrixAdapters to
// permit using row-major and column-major layouts, and rotation matrices embedded in
// larger matrices (such as a 3x4 projection matrix).
// Trivial wrapper to index linear arrays as matrices, given a fixed
// column and row stride. When an array "T* array" is wrapped by a
//
// (const) MatrixAdapter<T, row_stride, col_stride> M"
//
// the expression M(i, j) is equivalent to
//
// arrary[i * row_stride + j * col_stride]
//
// Conversion functions to and from rotation matrices accept
// MatrixAdapters to permit using row-major and column-major layouts,
// and rotation matrices embedded in larger matrices (such as a 3x4
// projection matrix).
template <typename T, int row_stride, int col_stride>
struct MatrixAdapter;
+1 -1
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@@ -54,7 +54,7 @@ class LinearOperator;
class BlockJacobiPreconditioner : public Preconditioner {
public:
// A must remain valid while the BlockJacobiPreconditioner is.
BlockJacobiPreconditioner(const BlockSparseMatrixBase& A);
explicit BlockJacobiPreconditioner(const BlockSparseMatrixBase& A);
virtual ~BlockJacobiPreconditioner();
// Preconditioner interface
@@ -110,12 +110,6 @@ LinearSolver::Summary IterativeSchurComplementSolver::SolveImpl(
case IDENTITY:
break;
case JACOBI:
// We need to strip the constness of the block_diagonal_FtF_inverse
// matrix here because the only other way to initialize the struct
// cg_solve_options would be to add a constructor to it. We know
// that the only method ever called on the preconditioner is the
// RightMultiply which is a const method so we don't need to worry
// about the object getting modified.
preconditioner_.reset(
new SparseMatrixPreconditionerWrapper(
schur_complement_->block_diagonal_FtF_inverse()));
+1 -1
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@@ -73,7 +73,7 @@ class ParameterBlock {
// Create a parameter block with the user state, size, and index specified.
// The size is the size of the parameter block and the index is the position
// if the parameter block inside a Program (if any).
// of the parameter block inside a Program (if any).
ParameterBlock(double* user_state, int size, int index) {
Init(user_state, size, index, NULL);
}
+6 -6
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@@ -69,11 +69,11 @@ class Preconditioner : public LinearOperator {
//
// For example if elimination_groups is a vector of size k, then
// the linear solver is informed that it should eliminate the
// parameter blocks 0 - elimination_groups[0] - 1 first, and then
// elimination_groups[0] - elimination_groups[1] and so on. Within
// each elimination group, the linear solver is free to choose how
// the parameter blocks are ordered. Different linear solvers have
// differing requirements on elimination_groups.
// parameter blocks 0 ... elimination_groups[0] - 1 first, and
// then elimination_groups[0] ... elimination_groups[1] and so
// on. Within each elimination group, the linear solver is free to
// choose how the parameter blocks are ordered. Different linear
// solvers have differing requirements on elimination_groups.
//
// The most common use is for Schur type solvers, where there
// should be at least two elimination groups and the first
@@ -130,7 +130,7 @@ class Preconditioner : public LinearOperator {
class SparseMatrixPreconditionerWrapper : public Preconditioner {
public:
// Wrapper does NOT take ownership of the matrix pointer.
SparseMatrixPreconditionerWrapper(const SparseMatrix* matrix);
explicit SparseMatrixPreconditionerWrapper(const SparseMatrix* matrix);
virtual ~SparseMatrixPreconditionerWrapper();
// Preconditioner interface
+3 -3
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@@ -177,7 +177,7 @@ ProblemImpl::ProblemImpl(const Problem::Options& options)
ProblemImpl::~ProblemImpl() {
// Collect the unique cost/loss functions and delete the residuals.
const int num_residual_blocks = program_->residual_blocks_.size();
const int num_residual_blocks = program_->residual_blocks_.size();
cost_functions_to_delete_.reserve(num_residual_blocks);
loss_functions_to_delete_.reserve(num_residual_blocks);
for (int i = 0; i < program_->residual_blocks_.size(); ++i) {
@@ -486,8 +486,8 @@ void ProblemImpl::RemoveParameterBlock(double* values) {
ResidualBlock* residual_block =
(*(program_->mutable_residual_blocks()))[i];
const int num_parameter_blocks = residual_block->NumParameterBlocks();
for (int i = 0; i < num_parameter_blocks; ++i) {
if (residual_block->parameter_blocks()[i] == parameter_block) {
for (int j = 0; j < num_parameter_blocks; ++j) {
if (residual_block->parameter_blocks()[j] == parameter_block) {
RemoveResidualBlock(residual_block);
// The parameter blocks are guaranteed unique.
break;
+1 -1
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@@ -311,7 +311,7 @@ string Solver::Summary::FullReport() const {
StringAppendF(&report, "\n");
StringAppendF(&report, "%45s %21s\n", "Given", "Used");
StringAppendF(&report, "%45s %21s\n", "Given", "Used");
StringAppendF(&report, "Threads: % 25d% 25d\n",
num_threads_given, num_threads_used);
+2
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@@ -53,6 +53,8 @@ void STLDeleteContainerPointers(ForwardIterator begin,
}
}
// Variant of STLDeleteContainerPointers which allows the container to
// contain duplicates.
template <class ForwardIterator>
void STLDeleteUniqueContainerPointers(ForwardIterator begin,
ForwardIterator end) {
+5 -3
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@@ -38,7 +38,7 @@ import glob
if len(sys.argv) < 3:
print "make_docs.py src_root destination_root"
sys.exit(1);
sys.exit(1)
src_dir = sys.argv[1] + "/docs/source"
build_root = sys.argv[2]
@@ -58,8 +58,10 @@ output_pattern = """config=TeX-AMS_HTML">
</script>"""
# By default MathJax uses does not use TeX fonts. This simple search
# an replace fixes that.
# and replace fixes that.
for name in glob.glob("%s/*.html" % html_dir):
print "Postprocessing: ", name
out = open(name).read().replace(input_pattern, output_pattern)
fptr = open(name)
out = fptr.read().replace(input_pattern, output_pattern)
open(name, "w").write(out)
fptr.close();