Add private functions mju_blockDiag and mju_blockDiagSparse
PiperOrigin-RevId: 752815446 Change-Id: Ia7f73160315ce57b78a2c34bc781f00e1b0f05c4
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@@ -795,3 +795,103 @@ void mju_sqrMatTDSparse(mjtNum* res, const mjtNum* mat, const mjtNum* matT,
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mj_freeStack(d);
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}
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// block-diagonalize a dense matrix
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// res output matrix
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// mat input matrix
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// nc_mat number of columns in mat
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// nc_res number of columns in res
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// nb number of blocks
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// perm_r reverse permutation of rows (res -> mat)
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// perm_c reverse permutation of columns (res -> mat)
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// block_nr number of rows in each block
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// block_nc number of columns in each block
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// block_r first row of each block
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// block_c first column of each block
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void mju_blockDiag(mjtNum* restrict res, const mjtNum* restrict mat,
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int nc_mat, int nc_res, int nb,
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const int* restrict perm_r, const int* restrict perm_c,
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const int* restrict block_nr, const int* restrict block_nc,
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const int* restrict block_r, const int* restrict block_c) {
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for (int b=0; b < nb; b++) {
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int bnr = block_nr[b];
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int bnc = block_nc[b];
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const int* adr_r = perm_r + block_r[b];
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const int* adr_c = perm_c + block_c[b];
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int adr = nc_res * block_r[b];
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for (int r = 0; r < bnr; r++) {
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for (int c = 0; c < bnc; c++) {
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res[adr++] = mat[nc_mat * adr_r[r] + adr_c[c]];
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}
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}
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}
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}
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// block-diagonalize a sparse matrix
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// res values of the target matrix res
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// res_rownnz number of non-zeros in each row of res
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// res_rowadr row address of each non-zero in res
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// res_colind column index of each non-zero in res
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// mat values of the source matrix mat
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// mat_rownnz number of non-zeros in each row of mat
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// mat_rowadr row address of each non-zero in mat
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// mat_colind column index of each non-zero in mat
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// nr number of rows in mat/res
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// nb number of blocks
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// perm_r reverse permutation of rows (res -> mat)
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// perm_c forward permutation of columns (mat -> res)
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// block_r first row of each block in res
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// block_c first column of each block in res
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// mat2 optional additional source matrix (same structure as mat)
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// res2 optional additional target matrix (same structure as res)
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void mju_blockDiagSparse(mjtNum* restrict res, int* restrict res_rownnz,
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int* restrict res_rowadr, int* restrict res_colind,
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const mjtNum* restrict mat, const int* restrict rownnz,
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const int* restrict rowadr, const int* restrict colind,
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int nr, int nb,
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const int* restrict perm_r, const int* restrict perm_c,
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const int* restrict block_r, const int* restrict block_c,
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mjtNum* restrict res2, const mjtNum* restrict mat2) {
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int block = 0;
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int col_offset = block_c[block];
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int row_next = block + 1 < nb ? block_r[block + 1] : nr;
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for (int r=0; r < nr; r++) {
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// row k in mat goes to row r in res
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int k = perm_r[r];
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// rownnz
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int nnz = rownnz[k];
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res_rownnz[r] = nnz;
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// rowadr
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int res_adr = (r == 0) ? 0 : res_rowadr[r-1] + res_rownnz[r-1];
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res_rowadr[r] = res_adr;
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// colind
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int* res_colind_r = res_colind + res_adr;
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mjtNum* res_r = res + res_adr;
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int mat_adr = rowadr[k];
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const int* colind_k = colind + mat_adr;
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const mjtNum* mat_k = mat + mat_adr;
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for (int j=0; j < nnz; j++) {
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res_colind_r[j] = perm_c[colind_k[j]] - col_offset;
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}
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// values (dense copy: partial order within block is guaranteed)
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mju_copy(res_r, mat_k, nnz);
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if (mat2 && res2) {
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mju_copy(res2 + res_adr, mat2 + mat_adr, nnz);
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}
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// end of block reached: update block counter, column offset, next row
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if (r + 1 >= row_next && block + 1 < nb ) {
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block++;
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col_offset = block_c[block];
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row_next = block + 1 < nb ? block_r[block + 1] : nr;
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}
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}
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}
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