Refactor mj_fullM. This change is part of the deprecation of mjData.qM.

PiperOrigin-RevId: 925669464
Change-Id: I4889c66591bc1df4c31135a13776052aad491f7a
This commit is contained in:
Yuval Tassa
2026-06-02 17:22:15 -07:00
committed by Copybara-Service
parent 49211a05c5
commit 7b9b88060e
15 changed files with 49 additions and 63 deletions
+1 -8
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@@ -601,14 +601,7 @@ Get name of object with the specified :ref:`mjtObj` type and id, returns ``NULL`
.. mujoco-include:: mj_fullM .. mujoco-include:: mj_fullM
Convert sparse inertia matrix ``M`` into full (i.e. dense) matrix. Convert sparse inertia matrix into full (i.e. dense) matrix.
|br| ``dst`` must be of size ``nv x nv``, ``M`` must be of the same structure as ``mjData.qM``.
The ``mjData`` members ``qM`` and ``M`` represent the same matrix in different formats; the former is unique to
MuJoCo, the latter is standard Compressed Sparse Row (lower triangle only). The :math:`L^T D L` factor of the inertia
matrix ``mjData.qLD`` uses the same CSR format as ``mjData.M``. See
`engine_support_test <https://github.com/google-deepmind/mujoco/blob/main/test/engine/engine_support_test.cc>`__ for
pedagogical examples.
.. _mj_mulM: .. _mj_mulM:
-11
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@@ -342,17 +342,6 @@ found, the function will return ``distmax`` and ``fromto``, if given, will be se
As explained in :ref:`Collision Detection<coDistance>`, distances are inaccurate when using the As explained in :ref:`Collision Detection<coDistance>`, distances are inaccurate when using the
:ref:`legacy CCD pipeline<coCCD>`, and its use is discouraged. :ref:`legacy CCD pipeline<coCCD>`, and its use is discouraged.
.. _mj_fullM:
Convert sparse inertia matrix ``M`` into full (i.e. dense) matrix.
|br| ``dst`` must be of size ``nv x nv``, ``M`` must be of the same structure as ``mjData.qM``.
The ``mjData`` members ``qM`` and ``M`` represent the same matrix in different formats; the former is unique to
MuJoCo, the latter is standard Compressed Sparse Row (lower triangle only). The :math:`L^T D L` factor of the inertia
matrix ``mjData.qLD`` uses the same CSR format as ``mjData.M``. See
`engine_support_test <https://github.com/google-deepmind/mujoco/blob/main/test/engine/engine_support_test.cc>`__ for
pedagogical examples.
.. _mj_mulM: .. _mj_mulM:
This function multiplies the joint-space inertia matrix stored in ``mjData.M`` by a vector. This function multiplies the joint-space inertia matrix stored in ``mjData.M`` by a vector.
+6
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@@ -30,6 +30,12 @@ General
the :math:`A` ("Delassus") matrix. the :math:`A` ("Delassus") matrix.
- The deprecated functions ``mju_{error,warning}_{i,s}`` have been removed. - The deprecated functions ``mju_{error,warning}_{i,s}`` have been removed.
- Changed the signature of :ref:`mj_fullM` from ``mj_fullM(m, dst, M)`` to ``mj_fullM(m, d, dst)`` as part of the
planned deprecation of ``mjData.qM`` in favor of the CSR-format ``mjData.M``.
**Migration:** For inertia matrix conversion, replace ``mj_fullM(m, dst, d->qM)`` with ``mj_fullM(m, d, dst)`` or
``mju_sym2dense(dst, d->M, m->nv, m->M_rownnz, m->M_rowadr, m->M_colind)``.
Bug fixes Bug fixes
^^^^^^^^^ ^^^^^^^^^
- Fixed a bug in the ``mjz`` :ref:`decoder <mjpDecoder>` where unnormalized paths would fail to be read. - Fixed a bug in the ``mjz`` :ref:`decoder <mjpDecoder>` where unnormalized paths would fail to be read.
+1 -1
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@@ -3320,7 +3320,7 @@ void mj_jacDot(const mjModel* m, const mjData* d, mjtNum* jacp, mjtNum* jacr,
void mj_angmomMat(const mjModel* m, mjData* d, mjtNum* mat, int body); void mj_angmomMat(const mjModel* m, mjData* d, mjtNum* mat, int body);
int mj_name2id(const mjModel* m, int type, const char* name); int mj_name2id(const mjModel* m, int type, const char* name);
const char* mj_id2name(const mjModel* m, int type, int id); const char* mj_id2name(const mjModel* m, int type, int id);
void mj_fullM(const mjModel* m, mjtNum* dst, const mjtNum* M); void mj_fullM(const mjModel* m, const mjData* d, mjtNum* dst);
void mj_mulM(const mjModel* m, const mjData* d, mjtNum* res, const mjtNum* vec); void mj_mulM(const mjModel* m, const mjData* d, mjtNum* res, const mjtNum* vec);
void mj_mulM2(const mjModel* m, const mjData* d, mjtNum* res, const mjtNum* vec); void mj_mulM2(const mjModel* m, const mjData* d, mjtNum* res, const mjtNum* vec);
void mj_addM(const mjModel* m, mjData* d, mjtNum* dst, int* rownnz, int* rowadr, int* colind); void mj_addM(const mjModel* m, mjData* d, mjtNum* dst, int* rownnz, int* rowadr, int* colind);
+2 -2
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@@ -598,8 +598,8 @@ MJAPI int mj_name2id(const mjModel* m, int type, const char* name);
// Get name of object with the specified mjtObj type and id; return NULL if name not found. // Get name of object with the specified mjtObj type and id; return NULL if name not found.
MJAPI const char* mj_id2name(const mjModel* m, int type, int id); MJAPI const char* mj_id2name(const mjModel* m, int type, int id);
// Convert sparse inertia matrix M into full (i.e. dense) matrix. // Convert sparse inertia matrix into full (i.e. dense) matrix.
MJAPI void mj_fullM(const mjModel* m, mjtNum* dst, const mjtNum* M); MJAPI void mj_fullM(const mjModel* m, const mjData* d, mjtNum* dst);
// Multiply vector by inertia matrix. // Multiply vector by inertia matrix.
MJAPI void mj_mulM(const mjModel* m, const mjData* d, mjtNum* res, const mjtNum* vec); MJAPI void mj_mulM(const mjModel* m, const mjData* d, mjtNum* res, const mjtNum* vec);
+3 -6
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@@ -591,15 +591,12 @@ PYBIND11_MODULE(_functions, pymodule) {
Def<traits::mj_id2name>(pymodule); Def<traits::mj_id2name>(pymodule);
Def<traits::mj_fullM>( Def<traits::mj_fullM>(
pymodule, pymodule,
[](const raw::MjModel* m, Eigen::Ref<EigenArrayXX> dst, [](const raw::MjModel* m, const raw::MjData* d,
Eigen::Ref<const EigenVectorX> M) { Eigen::Ref<EigenArrayXX> dst) {
if (M.size() != m->nM) {
throw py::type_error("M should be of size nM");
}
if (dst.cols() != m->nv || dst.rows() != m->nv) { if (dst.cols() != m->nv || dst.rows() != m->nv) {
throw py::type_error("dst should be of shape (nv, nv)"); throw py::type_error("dst should be of shape (nv, nv)");
} }
return ::mj_fullM(m, dst.data(), M.data()); return ::mj_fullM(m, d, dst.data());
}); });
Def<traits::mj_mulM>( Def<traits::mj_mulM>(
pymodule, pymodule,
+7 -7
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@@ -3478,20 +3478,20 @@ FUNCTIONS: Mapping[str, FunctionDecl] = dict([
inner_type=ValueType(name='mjModel', is_const=True), inner_type=ValueType(name='mjModel', is_const=True),
), ),
), ),
FunctionParameterDecl(
name='d',
type=PointerType(
inner_type=ValueType(name='mjData', is_const=True),
),
),
FunctionParameterDecl( FunctionParameterDecl(
name='dst', name='dst',
type=PointerType( type=PointerType(
inner_type=ValueType(name='mjtNum'), inner_type=ValueType(name='mjtNum'),
), ),
), ),
FunctionParameterDecl(
name='M',
type=PointerType(
inner_type=ValueType(name='mjtNum', is_const=True),
),
),
), ),
doc='Convert sparse inertia matrix M into full (i.e. dense) matrix.', doc='Convert sparse inertia matrix into full (i.e. dense) matrix.',
)), )),
('mj_mulM', ('mj_mulM',
FunctionDecl( FunctionDecl(
+2 -13
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@@ -367,19 +367,8 @@ void mj_setKeyframe(mjModel* m, const mjData* d, int k) {
//-------------------------- inertia functions ----------------------------------------------------- //-------------------------- inertia functions -----------------------------------------------------
// convert sparse inertia matrix M into full matrix // convert sparse inertia matrix M into full matrix
void mj_fullM(const mjModel* m, mjtNum* dst, const mjtNum* M) { void mj_fullM(const mjModel* m, const mjData* d, mjtNum* dst) {
int adr = 0, nv = m->nv; mju_sym2dense(dst, d->M, m->nv, m->M_rownnz, m->M_rowadr, m->M_colind);
mju_zero(dst, nv*nv);
for (int i=0; i < nv; i++) {
int j = i;
while (j >= 0) {
dst[i*nv+j] = M[adr];
dst[j*nv+i] = M[adr];
j = m->dof_parentid[j];
adr++;
}
}
} }
+1 -1
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@@ -58,7 +58,7 @@ MJAPI void mj_setKeyframe(mjModel* m, const mjData* d, int k);
//-------------------------- inertia functions ----------------------------------------------------- //-------------------------- inertia functions -----------------------------------------------------
// convert sparse inertia matrix M into full matrix // convert sparse inertia matrix M into full matrix
MJAPI void mj_fullM(const mjModel* m, mjtNum* dst, const mjtNum* M); MJAPI void mj_fullM(const mjModel* m, const mjData* d, mjtNum* dst);
// multiply vector by inertia matrix // multiply vector by inertia matrix
MJAPI void mj_mulM(const mjModel* m, const mjData* d, mjtNum* res, const mjtNum* vec); MJAPI void mj_mulM(const mjModel* m, const mjData* d, mjtNum* res, const mjtNum* vec);
+19 -4
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@@ -233,13 +233,13 @@ TEST_F(CoreSmoothTest, TendonArmature) {
// get full M, includes both CRB and tendon inertia // get full M, includes both CRB and tendon inertia
vector<mjtNum> M(nv*nv); vector<mjtNum> M(nv*nv);
mj_fullM(m, M.data(), d->qM); mj_fullM(m, d, M.data());
// put only CRB inertia in M2 // put only CRB inertia in M2
mj_crb(m, d); mj_crb(m, d);
mju_scatter(d->qM, d->M, m->mapM2M, m->nC); mju_scatter(d->qM, d->M, m->mapM2M, m->nC);
vector<mjtNum> M2(nv*nv); vector<mjtNum> M2(nv*nv);
mj_fullM(m, M2.data(), d->qM); mj_fullM(m, d, M2.data());
vector<mjtNum> ten_J(nv); // tendon Jacobian vector<mjtNum> ten_J(nv); // tendon Jacobian
vector<mjtNum> ten_M(nv*nv); // tendon inertia vector<mjtNum> ten_M(nv*nv); // tendon inertia
@@ -681,7 +681,7 @@ TEST_F(CoreSmoothTest, FactorI) {
// dense M matrix // dense M matrix
vector<mjtNum> Mexpected(nv*nv); vector<mjtNum> Mexpected(nv*nv);
mj_fullM(model, Mexpected.data(), data->qM); mj_fullM(model, data, Mexpected.data());
// expect matrices to match to floating point precision // expect matrices to match to floating point precision
EXPECT_THAT(M, Pointwise(MjNear(1e-12, 1e-5), Mexpected)); EXPECT_THAT(M, Pointwise(MjNear(1e-12, 1e-5), Mexpected));
@@ -690,6 +690,21 @@ TEST_F(CoreSmoothTest, FactorI) {
mj_deleteModel(model); mj_deleteModel(model);
} }
// Convert legacy-format symmetric matrix to dense (local helper for tests).
static void legacyToDense(const mjModel* m, mjtNum* dst, const mjtNum* M) {
int adr = 0, nv = m->nv;
mju_zero(dst, nv*nv);
for (int i = 0; i < nv; i++) {
int j = i;
while (j >= 0) {
dst[i*nv+j] = M[adr];
dst[j*nv+i] = M[adr];
j = m->dof_parentid[j];
adr++;
}
}
}
TEST_F(CoreSmoothTest, SolveLDs) { TEST_F(CoreSmoothTest, SolveLDs) {
const std::string xml_path = GetTestDataFilePath(kInertiaPath); const std::string xml_path = GetTestDataFilePath(kInertiaPath);
char error[1024]; char error[1024];
@@ -712,7 +727,7 @@ TEST_F(CoreSmoothTest, SolveLDs) {
mju_sparse2dense(LDdense.data(), d->qLD, nv, nv, mju_sparse2dense(LDdense.data(), d->qLD, nv, nv,
m->M_rownnz, m->M_rowadr, m->M_colind); m->M_rownnz, m->M_rowadr, m->M_colind);
vector<mjtNum> LDdense2(nv*nv); vector<mjtNum> LDdense2(nv*nv);
mj_fullM(m, LDdense2.data(), LDlegacy.data()); legacyToDense(m, LDdense2.data(), LDlegacy.data());
// expect lower triangles to match exactly // expect lower triangles to match exactly
for (int i=0; i < nv; i++) { for (int i=0; i < nv; i++) {
+1 -1
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@@ -848,7 +848,7 @@ TEST_F(DerivativeTest, LinearSystemInverse) {
// expect that acceleration derivatives are the mass matrix // expect that acceleration derivatives are the mass matrix
vector<mjtNum> DfDa_expect(nv*nv, 0); vector<mjtNum> DfDa_expect(nv*nv, 0);
mj_fullM(model, DfDa_expect.data(), data->qM); mj_fullM(model, data, DfDa_expect.data());
EXPECT_THAT(DfDa, Pointwise(DoubleNear(eps), DfDa_expect)); EXPECT_THAT(DfDa, Pointwise(DoubleNear(eps), DfDa_expect));
// expect that sensor derivatives w.r.t position only see sensor 1 at dof 0 // expect that sensor derivatives w.r.t position only see sensor 1 at dof 0
+3 -3
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@@ -608,13 +608,13 @@ TEST_F(InertiaTest, FullM) {
ASSERT_THAT(m, NotNull()) << "Failed to load model: " << error; ASSERT_THAT(m, NotNull()) << "Failed to load model: " << error;
int nv = m->nv; int nv = m->nv;
// forward dynamics, populate qM and qLD // forward dynamics, populate M and qLD
mjData* d = mj_makeData(m); mjData* d = mj_makeData(m);
mj_forward(m, d); mj_forward(m, d);
// get dense mass matrix from M using mju_sym2dense // get dense mass matrix from M using mj_fullM
vector<mjtNum> M(nv * nv); vector<mjtNum> M(nv * nv);
mju_sym2dense(M.data(), d->M, nv, m->M_rownnz, m->M_rowadr, m->M_colind); mj_fullM(m, d, M.data());
// get dense mass matrix from M using mju_sparse2dense // get dense mass matrix from M using mju_sparse2dense
vector<mjtNum> M_CSR(nv * nv); vector<mjtNum> M_CSR(nv * nv);
+1 -1
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@@ -6946,7 +6946,7 @@ public static unsafe extern int mj_name2id(mjModel_* m, int type, [MarshalAs(Unm
public static unsafe extern IntPtr mj_id2name(mjModel_* m, int type, int id); public static unsafe extern IntPtr mj_id2name(mjModel_* m, int type, int id);
[DllImport("mujoco", CallingConvention = CallingConvention.Cdecl)] [DllImport("mujoco", CallingConvention = CallingConvention.Cdecl)]
public static unsafe extern void mj_fullM(mjModel_* m, double* dst, double* M); public static unsafe extern void mj_fullM(mjModel_* m, mjData_* d, double* dst);
[DllImport("mujoco", CallingConvention = CallingConvention.Cdecl)] [DllImport("mujoco", CallingConvention = CallingConvention.Cdecl)]
public static unsafe extern void mj_mulM(mjModel_* m, mjData_* d, double* res, double* vec); public static unsafe extern void mj_mulM(mjModel_* m, mjData_* d, double* res, double* vec);
+2 -4
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@@ -8709,12 +8709,10 @@ void mj_forwardSkip_wrapper(const MjModel& m, MjData& d, int skipstage, int skip
mj_forwardSkip(m.get(), d.get(), skipstage, skipsensor); mj_forwardSkip(m.get(), d.get(), skipstage, skipsensor);
} }
void mj_fullM_wrapper(const MjModel& m, const val& dst, const NumberArray& M) { void mj_fullM_wrapper(const MjModel& m, const MjData& d, const val& dst) {
UNPACK_VALUE(mjtNum, dst); UNPACK_VALUE(mjtNum, dst);
UNPACK_ARRAY(mjtNum, M);
CHECK_SIZE(M, m.nM());
CHECK_SIZE(dst, m.nv() * m.nv()); CHECK_SIZE(dst, m.nv() * m.nv());
mj_fullM(m.get(), dst_.data(), M_.data()); mj_fullM(m.get(), d.get(), dst_.data());
} }
void mj_fwdAcceleration_wrapper(const MjModel& m, MjData& d) { void mj_fwdAcceleration_wrapper(const MjModel& m, MjData& d) {
-1
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@@ -565,7 +565,6 @@ FUNCTION_BOUNDS_CHECKS: Dict[str, str] = {
CHECK_SIZE(qpos2, m.nq()); CHECK_SIZE(qpos2, m.nq());
""".strip(), """.strip(),
"mj_fullM": """ "mj_fullM": """
CHECK_SIZE(M, m.nM());
CHECK_SIZE(dst, m.nv() * m.nv()); CHECK_SIZE(dst, m.nv() * m.nv());
""".strip(), """.strip(),
"mj_geomDistance": """ "mj_geomDistance": """