| // Ceres Solver - A fast non-linear least squares minimizer | |
| // Copyright 2013 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: | |
| // | |
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| // 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. | |
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| // specific prior written permission. | |
| // | |
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| // | |
| // Author: sameeragarwal@google.com (Sameer Agarwal) | |
| #include "ceres/block_random_access_crs_matrix.h" | |
| #include <algorithm> | |
| #include <set> | |
| #include <utility> | |
| #include <vector> | |
| #include "ceres/compressed_row_sparse_matrix.h" | |
| #include "ceres/internal/port.h" | |
| #include "ceres/internal/scoped_ptr.h" | |
| #include "ceres/mutex.h" | |
| #include "ceres/triplet_sparse_matrix.h" | |
| #include "ceres/types.h" | |
| #include "glog/logging.h" | |
| namespace ceres { | |
| namespace internal { | |
| BlockRandomAccessCRSMatrix::BlockRandomAccessCRSMatrix( | |
| const vector<int>& blocks, | |
| const set<pair<int, int> >& block_pairs) | |
| : kMaxRowBlocks(10 * 1000 * 1000), | |
| blocks_(blocks) { | |
| CHECK_LT(blocks.size(), kMaxRowBlocks); | |
| col_layout_.resize(blocks_.size(), 0); | |
| row_strides_.resize(blocks_.size(), 0); | |
| // Build the row/column layout vector and count the number of scalar | |
| // rows/columns. | |
| int num_cols = 0; | |
| for (int i = 0; i < blocks_.size(); ++i) { | |
| col_layout_[i] = num_cols; | |
| num_cols += blocks_[i]; | |
| } | |
| // Walk the sparsity pattern and count the number of non-zeros. | |
| int num_nonzeros = 0; | |
| for (set<pair<int, int> >::const_iterator it = block_pairs.begin(); | |
| it != block_pairs.end(); | |
| ++it) { | |
| const int row_block_size = blocks_[it->first]; | |
| const int col_block_size = blocks_[it->second]; | |
| num_nonzeros += row_block_size * col_block_size; | |
| } | |
| VLOG(2) << "Matrix Size [" << num_cols | |
| << "," << num_cols | |
| << "] " << num_nonzeros; | |
| crsm_.reset(new CompressedRowSparseMatrix(num_cols, num_cols, num_nonzeros)); | |
| int* rows = crsm_->mutable_rows(); | |
| int* cols = crsm_->mutable_cols(); | |
| double* values = crsm_->mutable_values(); | |
| // Iterate over the sparsity pattern and fill the scalar sparsity | |
| // pattern of the underlying compressed sparse row matrix. Along the | |
| // way also fill out the Layout object which will allow random | |
| // access into the CRS Matrix. | |
| set<pair<int, int> >::const_iterator it = block_pairs.begin(); | |
| vector<int> col_blocks; | |
| int row_pos = 0; | |
| rows[0] = 0; | |
| while (it != block_pairs.end()) { | |
| // Add entries to layout_ for all the blocks for this row. | |
| col_blocks.clear(); | |
| const int row_block_id = it->first; | |
| const int row_block_size = blocks_[row_block_id]; | |
| int num_cols = 0; | |
| while ((it != block_pairs.end()) && (it->first == row_block_id)) { | |
| layout_[IntPairToLong(it->first, it->second)] = | |
| new CellInfo(values + num_cols); | |
| col_blocks.push_back(it->second); | |
| num_cols += blocks_[it->second]; | |
| ++it; | |
| }; | |
| // Count the number of non-zeros in the row block. | |
| for (int j = 0; j < row_block_size; ++j) { | |
| rows[row_pos + j + 1] = rows[row_pos + j] + num_cols; | |
| } | |
| // Fill out the sparsity pattern for each row. | |
| int col_pos = 0; | |
| for (int j = 0; j < col_blocks.size(); ++j) { | |
| const int col_block_id = col_blocks[j]; | |
| const int col_block_size = blocks_[col_block_id]; | |
| for (int r = 0; r < row_block_size; ++r) { | |
| const int column_block_begin = rows[row_pos + r] + col_pos; | |
| for (int c = 0; c < col_block_size; ++c) { | |
| cols[column_block_begin + c] = col_layout_[col_block_id] + c; | |
| } | |
| } | |
| col_pos += col_block_size; | |
| } | |
| row_pos += row_block_size; | |
| values += row_block_size * num_cols; | |
| row_strides_[row_block_id] = num_cols; | |
| } | |
| } | |
| // Assume that the user does not hold any locks on any cell blocks | |
| // when they are calling SetZero. | |
| BlockRandomAccessCRSMatrix::~BlockRandomAccessCRSMatrix() { | |
| // TODO(sameeragarwal) this should be rationalized going forward and | |
| // perhaps moved into BlockRandomAccessMatrix. | |
| for (LayoutType::iterator it = layout_.begin(); | |
| it != layout_.end(); | |
| ++it) { | |
| delete it->second; | |
| } | |
| } | |
| CellInfo* BlockRandomAccessCRSMatrix::GetCell(int row_block_id, | |
| int col_block_id, | |
| int* row, | |
| int* col, | |
| int* row_stride, | |
| int* col_stride) { | |
| const LayoutType::iterator it = | |
| layout_.find(IntPairToLong(row_block_id, col_block_id)); | |
| if (it == layout_.end()) { | |
| return NULL; | |
| } | |
| *row = 0; | |
| *col = 0; | |
| *row_stride = blocks_[row_block_id]; | |
| *col_stride = row_strides_[row_block_id]; | |
| return it->second; | |
| } | |
| // Assume that the user does not hold any locks on any cell blocks | |
| // when they are calling SetZero. | |
| void BlockRandomAccessCRSMatrix::SetZero() { | |
| crsm_->SetZero(); | |
| } | |
| } // namespace internal | |
| } // namespace ceres |