Separate mj_addM into dense and sparse functions.
PiperOrigin-RevId: 539066339 Change-Id: Ide3f9644fee46a5fb1a2e79a25be162b929e2421
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@@ -1375,7 +1375,7 @@ static void HessianDirect(const mjModel* m, mjData* d, mjCGContext* ctx) {
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d->efc_JT_colind, d->efc_JT_rowsuper, d);
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d->efc_JT_colind, d->efc_JT_rowsuper, d);
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// compute H = M + J'*D*J
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// compute H = M + J'*D*J
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mj_addM(m, d, ctx->H, ctx->rownnz, ctx->rowadr, ctx->colind);
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mj_addMSparse(m, d, ctx->H, ctx->rownnz, ctx->rowadr, ctx->colind);
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// factorize H, uncompressed layout
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// factorize H, uncompressed layout
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int rank = mju_cholFactorSparse(ctx->H, nv, mjMINVAL,
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int rank = mju_cholFactorSparse(ctx->H, nv, mjMINVAL,
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@@ -1404,7 +1404,7 @@ static void HessianDirect(const mjModel* m, mjData* d, mjCGContext* ctx) {
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else {
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else {
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// compute H = M + J'*D*J
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// compute H = M + J'*D*J
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mju_sqrMatTD(ctx->H, d->efc_J, D, nefc, nv);
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mju_sqrMatTD(ctx->H, d->efc_J, D, nefc, nv);
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mj_addM(m, d, ctx->H, NULL, NULL, NULL);
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mj_addMDense(m, d, ctx->H);
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// factorize H
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// factorize H
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mju_cholFactor(ctx->H, nv, mjMINVAL);
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mju_cholFactor(ctx->H, nv, mjMINVAL);
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@@ -831,10 +831,24 @@ void mj_mulM2(const mjModel* m, const mjData* d, mjtNum* res, const mjtNum* vec)
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// destination can be sparse uncompressed, or dense when all int* are NULL
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// destination can be sparse uncompressed, or dense when all int* are NULL
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void mj_addM(const mjModel* m, mjData* d, mjtNum* dst,
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void mj_addM(const mjModel* m, mjData* d, mjtNum* dst,
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int* rownnz, int* rowadr, int* colind) {
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int* rownnz, int* rowadr, int* colind) {
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int adr, adr1, nv = m->nv;
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// sparse
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// sparse
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if (rownnz && rowadr && colind) {
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if (rownnz && rowadr && colind) {
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mj_addMSparse(m, d, dst, rownnz, rowadr, colind);
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}
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// dense
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else {
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mj_addMDense(m, d, dst);
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}
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}
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// add inertia matrix to sparse uncompressed destination matrix
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void mj_addMSparse(const mjModel* m, mjData* d, mjtNum* dst,
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int* rownnz, int* rowadr, int* colind) {
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int adr, adr1, nv = m->nv;
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// special processing of simple dofs
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// special processing of simple dofs
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int simplecnt = 0;
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int simplecnt = 0;
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for (int i=0; i < nv; i++) {
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for (int i=0; i < nv; i++) {
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@@ -949,10 +963,14 @@ void mj_addM(const mjModel* m, mjData* d, mjtNum* dst,
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mjFREESTACK;
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mjFREESTACK;
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}
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}
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// dense
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else {
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// add inertia matrix to dense destination matrix
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void mj_addMDense(const mjModel* m, mjData* d, mjtNum* dst) {
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int nv = m->nv;
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for (int i = 0; i < nv; i++) {
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for (int i = 0; i < nv; i++) {
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adr = m->dof_Madr[i];
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int adr = m->dof_Madr[i];
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int j = i;
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int j = i;
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while (j >= 0) {
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while (j >= 0) {
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// add
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// add
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@@ -972,8 +990,6 @@ void mj_addM(const mjModel* m, mjData* d, mjtNum* dst,
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}
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}
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}
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}
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}
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}
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}
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//-------------------------- sparse system matrix conversion ---------------------------------------
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//-------------------------- sparse system matrix conversion ---------------------------------------
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@@ -104,6 +104,13 @@ MJAPI void mj_mulM2(const mjModel* m, const mjData* d, mjtNum* res, const mjtNum
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MJAPI void mj_addM(const mjModel* m, mjData* d, mjtNum* dst,
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MJAPI void mj_addM(const mjModel* m, mjData* d, mjtNum* dst,
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int* rownnz, int* rowadr, int* colind);
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int* rownnz, int* rowadr, int* colind);
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// add inertia matrix to sparse uncompressed destination matrix
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MJAPI void mj_addMSparse(const mjModel* m, mjData* d, mjtNum* dst,
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int* rownnz, int* rowadr, int* colind);
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// add inertia matrix to dense destination matrix
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MJAPI void mj_addMDense(const mjModel* m, mjData* d, mjtNum* dst);
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//-------------------------- sparse system matrix conversion ---------------------------------------
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//-------------------------- sparse system matrix conversion ---------------------------------------
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@@ -20,6 +20,7 @@
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#include <absl/base/attributes.h>
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#include <absl/base/attributes.h>
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#include <mujoco/mjdata.h>
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#include <mujoco/mjdata.h>
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#include <mujoco/mujoco.h>
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#include <mujoco/mujoco.h>
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#include "src/engine/engine_support.h"
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#include "src/engine/engine_util_sparse.h"
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#include "src/engine/engine_util_sparse.h"
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#include "test/fixture.h"
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#include "test/fixture.h"
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@@ -458,7 +459,7 @@ static void BM_combineSparse(benchmark::State& state, CombineFuncPtr func) {
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d->efc_JT_colind, d->efc_JT_rowsuper, d);
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d->efc_JT_colind, d->efc_JT_rowsuper, d);
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// compute H = M + J'*D*J
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// compute H = M + J'*D*J
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mj_addM(m, d, H, rownnz, rowadr, colind);
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mj_addMSparse(m, d, H, rownnz, rowadr, colind);
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// time benchmark
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// time benchmark
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for (auto s : state) {
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for (auto s : state) {
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