Use only lower triangle in CSR back-substitution.
PiperOrigin-RevId: 711686157 Change-Id: I4fc98cdfb927e5608ce3a99ea34890ce556fcfd7
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@@ -1578,16 +1578,19 @@ void mj_solveLDs(mjtNum* restrict x, const mjtNum* qLDs, const mjtNum* qLDiagInv
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const int* rownnz, const int* rowadr, const int* diagind, const int* diagnum,
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const int* colind) {
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// x <- L^-T x
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for (int i=nv-2; i >= 0; i--) {
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// skip diagonal (simple) rows
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if (diagnum[i]) {
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for (int i=nv-1; i > 0; i--) {
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// skip diagonal (simple) rows, exploit sparsity of input vector
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if (diagnum[i] || x[i] == 0) {
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continue;
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}
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int d1 = diagind[i] + 1;
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int nnz = rownnz[i] - d1;
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int adr = rowadr[i] + d1;
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x[i] -= mju_dotSparse(qLDs+adr, x, nnz, colind+adr, /*flg_unc1=*/0);
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int d = diagind[i];
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int adr_i = rowadr[i];
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mjtNum x_i = x[i];
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for (int j=0; j < d; j++) {
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int adr = adr_i + j;
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x[colind[adr]] -= qLDs[adr] * x_i;
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}
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}
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// x(i) /= D(i,i)
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@@ -456,53 +456,6 @@ TEST_F(CoreSmoothTest, FactorI) {
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mj_deleteModel(model);
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}
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// in-place sparse backsubstitution: x = inv(L'*D*L)*x
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// like mj_solveLD, but using the CSR representation of L
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// variant that only uses the lower triangle of qLDs
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static void mj_solveLDsLower(mjtNum* x, const mjtNum* qLDs,
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const mjtNum* qLDiagInv, int nv, const int* rownnz,
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const int* rowadr, const int* diagind,
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const int* diagnum, const int* colind,
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int* scratch) {
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int* marker = scratch;
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for (int i=1; i < nv; i++) {
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marker[i] = rowadr[i] + diagind[i] - 1;
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}
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// x <- L^-T x
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for (int i=nv-2; i >= 0; i--) {
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// skip diagonal (simple) rows
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if (diagnum[i]) {
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continue;
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}
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for (int j=i+1; j < nv; j++) {
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if (colind[marker[j]] == i) {
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x[i] -= qLDs[marker[j]--] * x[j];
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}
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}
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}
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// x(i) /= D(i,i)
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for (int i=0; i < nv; i++) {
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x[i] *= qLDiagInv[i];
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}
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// x <- L^-1 x
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for (int i=1; i < nv; i++) {
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// skip diagonal (simple) rows
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if (diagnum[i]) {
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i += diagnum[i] - 1; // when iterating forward we can skip ahead
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continue;
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}
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int d = diagind[i];
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int adr = rowadr[i];
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x[i] -= mju_dotSparse(qLDs+adr, x, d, colind+adr, /*flg_unc1=*/0);
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}
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}
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TEST_F(CoreSmoothTest, SolveLDs) {
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const std::string xml_path = GetTestDataFilePath(kInertiaPath);
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char error[1024];
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@@ -537,7 +490,6 @@ TEST_F(CoreSmoothTest, SolveLDs) {
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for (int i=0; i < nv; i++) vec[i] = vec2[i] = 20 + 30*i;
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for (int i=0; i < nv; i+=2) vec[i] = vec2[i] = 0;
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// use upper triangle
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mj_solveLD(m, vec.data(), 1, d->qLD, d->qLDiagInv);
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mj_solveLDs(vec2.data(), LDs.data(), d->qLDiagInv, nv,
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d->C_rownnz, d->C_rowadr, d->C_diag, m->dof_simplenum,
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@@ -548,18 +500,6 @@ TEST_F(CoreSmoothTest, SolveLDs) {
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EXPECT_FLOAT_EQ(vec[i], vec2[i]);
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}
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// don't use use upper triangle
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mj_solveLD(m, vec.data(), 1, d->qLD, d->qLDiagInv);
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vector<int> scratch(nv);
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mj_solveLDsLower(vec2.data(), LDs.data(), d->qLDiagInv, nv, d->C_rownnz,
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d->C_rowadr, d->C_diag, m->dof_simplenum, d->C_colind,
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scratch.data());
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// expect vectors to match up to floating point precision
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for (int i=0; i < nv; i++) {
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EXPECT_FLOAT_EQ(vec[i], vec2[i]);
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}
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mj_deleteData(d);
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mj_deleteModel(m);
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}
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