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authorSergey Sharybin <sergey@blender.org>2022-05-10 17:36:22 +0300
committerSergey Sharybin <sergey@blender.org>2022-05-10 18:01:20 +0300
commit3ad2597a4eca5091031c213445c6583e21097d5f (patch)
treef909af8ad783d1adea67911ddaf1633ad7f570a9 /extern/ceres/internal/ceres/block_random_access_sparse_matrix.cc
parentb4b85c5ce2752ea9241cbcfa1ddc3f639ad64262 (diff)
Update Ceres to latest upstream version 2.1.0temp-ceres_update
This release deprecated the Parameterization API and the new Manifolds API is to be used instead. This is what was done in the Libmv as part of this change. Additionally, remove the bundling scripts. Nowadays those are only leading to a duplicated work to maintain.
Diffstat (limited to 'extern/ceres/internal/ceres/block_random_access_sparse_matrix.cc')
-rw-r--r--extern/ceres/internal/ceres/block_random_access_sparse_matrix.cc15
1 files changed, 8 insertions, 7 deletions
diff --git a/extern/ceres/internal/ceres/block_random_access_sparse_matrix.cc b/extern/ceres/internal/ceres/block_random_access_sparse_matrix.cc
index c28b7cef3f4..a026daa5dac 100644
--- a/extern/ceres/internal/ceres/block_random_access_sparse_matrix.cc
+++ b/extern/ceres/internal/ceres/block_random_access_sparse_matrix.cc
@@ -1,5 +1,5 @@
// Ceres Solver - A fast non-linear least squares minimizer
-// Copyright 2015 Google Inc. All rights reserved.
+// Copyright 2022 Google Inc. All rights reserved.
// http://ceres-solver.org/
//
// Redistribution and use in source and binary forms, with or without
@@ -36,7 +36,7 @@
#include <utility>
#include <vector>
-#include "ceres/internal/port.h"
+#include "ceres/internal/export.h"
#include "ceres/triplet_sparse_matrix.h"
#include "ceres/types.h"
#include "glog/logging.h"
@@ -58,9 +58,9 @@ BlockRandomAccessSparseMatrix::BlockRandomAccessSparseMatrix(
// rows/columns.
int num_cols = 0;
block_positions_.reserve(blocks_.size());
- for (int i = 0; i < blocks_.size(); ++i) {
+ for (int block_size : blocks_) {
block_positions_.push_back(num_cols);
- num_cols += blocks_[i];
+ num_cols += block_size;
}
// Count the number of scalar non-zero entries and build the layout
@@ -76,7 +76,8 @@ BlockRandomAccessSparseMatrix::BlockRandomAccessSparseMatrix(
VLOG(1) << "Matrix Size [" << num_cols << "," << num_cols << "] "
<< num_nonzeros;
- tsm_.reset(new TripletSparseMatrix(num_cols, num_cols, num_nonzeros));
+ tsm_ =
+ std::make_unique<TripletSparseMatrix>(num_cols, num_cols, num_nonzeros);
tsm_->set_num_nonzeros(num_nonzeros);
int* rows = tsm_->mutable_rows();
int* cols = tsm_->mutable_cols();
@@ -86,7 +87,7 @@ BlockRandomAccessSparseMatrix::BlockRandomAccessSparseMatrix(
for (const auto& block_pair : block_pairs) {
const int row_block_size = blocks_[block_pair.first];
const int col_block_size = blocks_[block_pair.second];
- cell_values_.push_back(make_pair(block_pair, values + pos));
+ cell_values_.emplace_back(block_pair, values + pos);
layout_[IntPairToLong(block_pair.first, block_pair.second)] =
new CellInfo(values + pos);
pos += row_block_size * col_block_size;
@@ -129,7 +130,7 @@ CellInfo* BlockRandomAccessSparseMatrix::GetCell(int row_block_id,
const LayoutType::iterator it =
layout_.find(IntPairToLong(row_block_id, col_block_id));
if (it == layout_.end()) {
- return NULL;
+ return nullptr;
}
// Each cell is stored contiguously as its own little dense matrix.