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Rename inertia factorization routines:

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```
mj_factorI -> mj_factorI_legacy
mj_solveLD -> mj_solveLD_legacy
mj_factorIs -> mj_factorI
mj_solveLDs -> mj_solveLD
```

PiperOrigin-RevId: 728246367
Change-Id: I3bc7804cb96faac2ae5419ba9abfc3c1648ed4c6
This commit is contained in:
Yuval Tassa
2025-02-18 09:40:43 -08:00
committed by Copybara-Service
parent 982330d15a
commit b516edae1b
8 changed files with 59 additions and 60 deletions
Download Patch File Download Diff File Expand all files Collapse all files
src/engine/engine_core_smooth.c
+10 -11
View File
@@ -1401,7 +1401,9 @@ void mj_crb(const mjModel* m, mjData* d) {
// sparse L'*D*L factorizaton of inertia-like matrix M, assumed spd
void mj_factorI(const mjModel* m, mjData* d, const mjtNum* M, mjtNum* qLD, mjtNum* qLDiagInv) {
// (legacy implementation)
void mj_factorI_legacy(const mjModel* m, mjData* d, const mjtNum* M, mjtNum* qLD,
mjtNum* qLDiagInv) {
int cnt;
int Madr_kk, Madr_ki;
mjtNum tmp;
@@ -1469,15 +1471,14 @@ void mj_factorM(const mjModel* m, mjData* d) {
for (int i=0; i < nC; i++) {
d->qLD[i] = d->qM[d->mapM2C[i]];
}
mj_factorIs(d->qLD, d->qLDiagInv, m->nv, d->C_rownnz, d->C_rowadr, m->dof_simplenum, d->C_colind);
mj_factorI(d->qLD, d->qLDiagInv, m->nv, d->C_rownnz, d->C_rowadr, m->dof_simplenum, d->C_colind);
TM_ADD(mjTIMER_POS_INERTIA);
}
// sparse L'*D*L factorizaton of inertia-like matrix M, assumed spd
// like mj_factorI, but using CSR representation
void mj_factorIs(mjtNum* mat, mjtNum* diaginv, int nv,
void mj_factorI(mjtNum* mat, mjtNum* diaginv, int nv,
const int* rownnz, const int* rowadr, const int* diagnum, const int* colind) {
// backward loop over rows
for (int k=nv-1; k >= 0; k--) {
@@ -1510,9 +1511,8 @@ void mj_factorIs(mjtNum* mat, mjtNum* diaginv, int nv,
// in-place sparse backsubstitution: x = inv(L'*D*L)*x
// L is in lower triangle of qLD; D is on diagonal of qLD
// handle n vectors at once
void mj_solveLD(const mjModel* m, mjtNum* restrict x, int n,
// (legacy implementation)
void mj_solveLD_legacy(const mjModel* m, mjtNum* restrict x, int n,
const mjtNum* qLD, const mjtNum* qLDiagInv) {
// local copies of key variables
int* dof_Madr = m->dof_Madr;
@@ -1624,8 +1624,7 @@ void mj_solveLD(const mjModel* m, mjtNum* restrict x, int n,
// in-place sparse backsubstitution: x = inv(L'*D*L)*x
// like mj_solveLD, but using the CSR representation of L
void mj_solveLDs(mjtNum* restrict x, const mjtNum* qLDs, const mjtNum* qLDiagInv, int nv, int n,
void mj_solveLD(mjtNum* restrict x, const mjtNum* qLDs, const mjtNum* qLDiagInv, int nv, int n,
const int* rownnz, const int* rowadr, const int* diagnum, const int* colind) {
// x <- L^-T x
for (int i=nv-1; i > 0; i--) {
@@ -1713,7 +1712,7 @@ void mj_solveM(const mjModel* m, mjData* d, mjtNum* x, const mjtNum* y, int n) {
if (x != y) {
mju_copy(x, y, n*m->nv);
}
mj_solveLDs(x, d->qLD, d->qLDiagInv, m->nv, n,
mj_solveLD(x, d->qLD, d->qLDiagInv, m->nv, n,
d->C_rownnz, d->C_rowadr, m->dof_simplenum, d->C_colind);
}
@@ -1725,7 +1724,7 @@ void mj_solveM_island(const mjModel* m, const mjData* d, mjtNum* restrict x, int
const mjtNum* qLD = d->qLD;
const mjtNum* qLDiagInv = d->qLDiagInv;
if (island < 0) {
mj_solveLDs(x, qLD, qLDiagInv, m->nv, 1,
mj_solveLD(x, qLD, qLDiagInv, m->nv, 1,
d->C_rownnz, d->C_rowadr, m->dof_simplenum, d->C_colind);
return;
}
src/engine/engine_core_smooth.h
+7 -7
View File
@@ -48,24 +48,24 @@ MJAPI void mj_transmission(const mjModel* m, mjData* d);
// composite rigid body inertia algorithm
MJAPI void mj_crb(const mjModel* m, mjData* d);
// sparse L'*D*L factorizaton of inertia-like matrix M, assumed spd
MJAPI void mj_factorI(const mjModel* m, mjData* d, const mjtNum* M, mjtNum* qLD, mjtNum* qLDiagInv);
// sparse L'*D*L factorizaton of inertia-like matrix M, assumed spd (legacy implementation)
MJAPI void mj_factorI_legacy(const mjModel* m, mjData* d, const mjtNum* M,
mjtNum* qLD, mjtNum* qLDiagInv);
// sparse L'*D*L factorizaton of inertia-like matrix
// like mj_factorI, but using CSR representation
MJAPI void mj_factorIs(mjtNum* mat, mjtNum* diaginv, int nv,
MJAPI void mj_factorI(mjtNum* mat, mjtNum* diaginv, int nv,
const int* rownnz, const int* rowadr, const int* diagnum, const int* colind);
// sparse L'*D*L factorizaton of the inertia matrix M, assumed spd
MJAPI void mj_factorM(const mjModel* m, mjData* d);
// sparse backsubstitution: x = inv(L'*D*L)*x
MJAPI void mj_solveLD(const mjModel* m, mjtNum* x, int n,
// sparse backsubstitution: x = inv(L'*D*L)*x (legacy implementation)
MJAPI void mj_solveLD_legacy(const mjModel* m, mjtNum* x, int n,
const mjtNum* qLD, const mjtNum* qLDiagInv);
// in-place sparse backsubstitution: x = inv(L'*D*L)*x
// handle n vectors at once
MJAPI void mj_solveLDs(mjtNum* x, const mjtNum* qLDs, const mjtNum* qLDiagInv, int nv, int n,
MJAPI void mj_solveLD(mjtNum* x, const mjtNum* qLDs, const mjtNum* qLDiagInv, int nv, int n,
const int* rownnz, const int* rowadr, const int* diagnum, const int* colind);
// sparse backsubstitution: x = inv(L'*D*L)*y, use factorization in d
src/engine/engine_forward.c
+4 -4
View File
@@ -803,13 +803,13 @@ void mj_EulerSkip(const mjModel* m, mjData* d, int skipfactor) {
}
// factorize in-place
mj_factorIs(d->qH, d->qHDiagInv, nv, d->C_rownnz, d->C_rowadr, m->dof_simplenum, d->C_colind);
mj_factorI(d->qH, d->qHDiagInv, nv, d->C_rownnz, d->C_rowadr, m->dof_simplenum, d->C_colind);
}
// solve
mju_add(qfrc, d->qfrc_smooth, d->qfrc_constraint, nv);
mju_copy(qacc, qfrc, m->nv);
mj_solveLDs(qacc, d->qH, d->qHDiagInv, nv, 1,
mj_solveLD(qacc, d->qH, d->qHDiagInv, nv, 1,
d->C_rownnz, d->C_rowadr, m->dof_simplenum, d->C_colind);
}
@@ -992,12 +992,12 @@ void mj_implicitSkip(const mjModel* m, mjData* d, int skipfactor) {
}
// factorize in-place
mj_factorIs(d->qH, d->qHDiagInv, nv, d->C_rownnz, d->C_rowadr, m->dof_simplenum, d->C_colind);
mj_factorI(d->qH, d->qHDiagInv, nv, d->C_rownnz, d->C_rowadr, m->dof_simplenum, d->C_colind);
}
// solve for qacc: (qM - dt*qDeriv) * qacc = qfrc
mju_copy(qacc, qfrc, nv);
mj_solveLDs(qacc, d->qH, d->qHDiagInv, nv, 1,
mj_solveLD(qacc, d->qH, d->qHDiagInv, nv, 1,
d->C_rownnz, d->C_rowadr, m->dof_simplenum, d->C_colind);
} else {
test/benchmark/factorI_benchmark_test.cc
+2 -2
View File
@@ -56,10 +56,10 @@ static void BM_factorI(benchmark::State& state, bool legacy, bool coil) {
while (state.KeepRunningBatch(kNumBenchmarkSteps)) {
for (int i=0; i < kNumBenchmarkSteps; i++) {
if (legacy) {
mj_factorI(m, d, d->qM, LDlegacy, d->qLDiagInv);
mj_factorI_legacy(m, d, d->qM, LDlegacy, d->qLDiagInv);
} else {
mju_copy(d->qLD, M, m->nC);
mj_factorIs(d->qLD, d->qLDiagInv, m->nv,
mj_factorI(d->qLD, d->qLDiagInv, m->nv,
d->C_rownnz, d->C_rowadr, m->dof_simplenum, d->C_colind);
}
}
test/benchmark/inertia_benchmark_test.cc
+4 -4
View File
@@ -67,15 +67,15 @@ static void BM_solve(benchmark::State& state, SolveType type) {
mju_copy(res, vec, m->nv);
switch (type) {
case SolveType::kLegacy:
mj_factorI(m, d, d->qM, LDlegacy, d->qLDiagInv);
mj_solveLD(m, res, 1, LDlegacy, d->qLDiagInv);
mj_factorI_legacy(m, d, d->qM, LDlegacy, d->qLDiagInv);
mj_solveLD_legacy(m, res, 1, LDlegacy, d->qLDiagInv);
mj_solveM(m, d, res, vec, 1);
break;
case SolveType::kCsr:
mju_copy(d->qLD, M, m->nC);
mj_factorIs(d->qLD, d->qLDiagInv, m->nv,
mj_factorI(d->qLD, d->qLDiagInv, m->nv,
d->C_rownnz, d->C_rowadr, m->dof_simplenum, d->C_colind);
mj_solveLDs(res, d->qLD, d->qLDiagInv, m->nv, 1,
mj_solveLD(res, d->qLD, d->qLDiagInv, m->nv, 1,
d->C_rownnz, d->C_rowadr, m->dof_simplenum, d->C_colind);
}
}
test/benchmark/solveLD_benchmark_test.cc
+2 -2
View File
@@ -62,9 +62,9 @@ static void BM_solveLD(benchmark::State& state, bool featherstone, bool coil) {
for (int i=0; i < kNumBenchmarkSteps; i++) {
mju_copy(res, vec, m->nv);
if (featherstone) {
mj_solveLD(m, res, 1, LDlegacy, d->qLDiagInv);
mj_solveLD_legacy(m, res, 1, LDlegacy, d->qLDiagInv);
} else {
mj_solveLDs(res, d->qLD, d->qLDiagInv, m->nv, 1,
mj_solveLD(res, d->qLD, d->qLDiagInv, m->nv, 1,
d->C_rownnz, d->C_rowadr, m->dof_simplenum, d->C_colind);
}
}
test/engine/engine_core_smooth_test.cc
+7 -7
View File
@@ -549,8 +549,8 @@ TEST_F(CoreSmoothTest, SolveLDs) {
for (int i=0; i < nv; i++) vec[i] = vec2[i] = 20 + 30*i;
for (int i=0; i < nv; i+=2) vec[i] = vec2[i] = 0;
mj_solveLD(m, vec.data(), 1, LDlegacy.data(), d->qLDiagInv);
mj_solveLDs(vec2.data(), d->qLD, d->qLDiagInv, nv, 1,
mj_solveLD_legacy(m, vec.data(), 1, LDlegacy.data(), d->qLDiagInv);
mj_solveLD(vec2.data(), d->qLD, d->qLDiagInv, nv, 1,
d->C_rownnz, d->C_rowadr, m->dof_simplenum, d->C_colind);
// expect vectors to match up to floating point precision
@@ -588,8 +588,8 @@ TEST_F(CoreSmoothTest, SolveLDmultipleVectors) {
for (int i=0; i < nv*n; i++) vec[i] = vec2[i] = 2 + 3*i;
for (int i=0; i < nv*n; i+=3) vec[i] = vec2[i] = 0;
mj_solveLD(m, vec.data(), n, LDlegacy.data(), d->qLDiagInv);
mj_solveLDs(vec2.data(), d->qLD, d->qLDiagInv, nv, n,
mj_solveLD_legacy(m, vec.data(), n, LDlegacy.data(), d->qLDiagInv);
mj_solveLD(vec2.data(), d->qLD, d->qLDiagInv, nv, n,
d->C_rownnz, d->C_rowadr, m->dof_simplenum, d->C_colind);
// expect vectors to match up to floating point precision
@@ -627,7 +627,7 @@ TEST_F(CoreSmoothTest, SolveM2) {
vector<mjtNum> res(nv*n);
mj_solveM2(m, d, res.data(), vec.data(), sqrtInvD.data(), n);
mj_solveLDs(vec2.data(), d->qLD, d->qLDiagInv, nv, n,
mj_solveLD(vec2.data(), d->qLD, d->qLDiagInv, nv, n,
d->C_rownnz, d->C_rowadr, m->dof_simplenum, d->C_colind);
// expect equality of dot(v, M^-1 * v) and dot(M^-1/2 * v, M^-1/2 * v)
@@ -653,7 +653,7 @@ TEST_F(CoreSmoothTest, FactorIs) {
// copy qM into into qLDlegacy and factorize
vector<mjtNum> qLDlegacy(nM);
mj_factorI(m, d, d->qM, qLDlegacy.data(), d->qLDiagInv);
mj_factorI_legacy(m, d, d->qM, qLDlegacy.data(), d->qLDiagInv);
// copy qLDlegacy into qLDexpected: CSR format
vector<mjtNum> qLDexpected(nC);
@@ -670,7 +670,7 @@ TEST_F(CoreSmoothTest, FactorIs) {
vector<mjtNum> qLDiagInvExpected(d->qLDiagInv, d->qLDiagInv + nv);
vector<mjtNum> qLDiagInv(nv, 0);
mj_factorIs(qLD.data(), qLDiagInv.data(), nv,
mj_factorI(qLD.data(), qLDiagInv.data(), nv,
d->C_rownnz, d->C_rowadr, m->dof_simplenum, d->C_colind);
// expect outputs to match to floating point precision
test/engine/engine_derivative_test.cc
+3 -3
View File
@@ -339,7 +339,7 @@ TEST_F(DerivativeTest, StepSkip) {
int nq = model->nq;
int nv = model->nv;
// disable warmstarts so we don't need to save qacc_warmstart
// disable warm-starts so we don't need to save qacc_warmstart
model->opt.disableflags |= mjDSBL_WARMSTART;
for (const mjtIntegrator integrator : {mjINT_EULER,
@@ -436,7 +436,7 @@ static void LinearSystem(const mjModel* m, mjData* d, mjtNum* A, mjtNum* B) {
Ac[i*nv + i] = -m->jnt_stiffness[i];
Ac[nv*nv + i*nv + i] = -m->dof_damping[i];
}
mj_solveLDs(Ac, d->qH, d->qHDiagInv, nv, 2*nv,
mj_solveLD(Ac, d->qH, d->qHDiagInv, nv, 2*nv,
d->C_rownnz, d->C_rowadr, m->dof_simplenum, d->C_colind);
// A = [dt*Ac; Ac]
@@ -464,7 +464,7 @@ static void LinearSystem(const mjModel* m, mjData* d, mjtNum* A, mjtNum* B) {
mjtNum *BcT = mj_stackAllocNum(d, nv*nu);
mju_sparse2dense(Bc, d->actuator_moment, nu, nv, d->moment_rownnz,
d->moment_rowadr, d->moment_colind);
mj_solveLDs(Bc, d->qH, d->qHDiagInv, nv, nu,
mj_solveLD(Bc, d->qH, d->qHDiagInv, nv, nu,
d->C_rownnz, d->C_rowadr, m->dof_simplenum, d->C_colind);
mju_transpose(BcT, Bc, nu, nv);
mju_scl(B, BcT, dt*dt, nu*nv);