2b6ea95d16
Fix dimension of res vector in sparse benchmark test.
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PiperOrigin-RevId: 540336845
Change-Id: I79d4c487455a0642d57f36abe0e38eae92f212fa
2023-06-14 11:49:53 -07:00
c79dc39e50
Internal change to parsing benchmarks.
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PiperOrigin-RevId: 539926231
Change-Id: Ia9128df6dad0b720950bbcb458b8ccb95758dae6
2023-06-13 04:54:46 -07:00
81d74c56e1
Separate mj_addM into dense and sparse functions.
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PiperOrigin-RevId: 539066339
Change-Id: Ide3f9644fee46a5fb1a2e79a25be162b929e2421
2023-06-09 06:44:19 -07:00
f887c1e928
Add ASAN and MSAN instrumentation for arena and mjData stack.
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PiperOrigin-RevId: 535635490
Change-Id: Ia1e58771bae25bf72c861f57452fb8faa2b918fb
2023-05-26 09:17:26 -07:00
9924cce4b7
Add nnz per row precount method for mju_sqrMatTDSparse.
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PiperOrigin-RevId: 521744893
Change-Id: Ie0fbfab552a680127f4acf9041b07916f8a2a490
2023-04-04 06:21:22 -07:00
8696247f9d
Add mj_stackAllocInt to get correct size for allocating ints on mjData stack. Reducing stack memory usage by 10% - 15%.
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PiperOrigin-RevId: 517672195
Change-Id: Ie14e6c9c99e8b9e1c5d3686b77631f2df0651c67
2023-03-18 13:04:14 -07:00
056e849273
Provide improved mju_sqrMatTDSparse implementation that doesn't require dense memory allocation for sparse matrices.
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PiperOrigin-RevId: 516812783
Change-Id: Ieb43337831d8d3b2c7f18a7facd8e0a0f2b0eff5
2023-03-15 06:56:16 -07:00
7e7cb177a4
Cosmetic changes.
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PiperOrigin-RevId: 511008317
Change-Id: Id8d7cd4f4e22e0658857d16b47d51053f1477bb9
2023-02-20 09:23:32 -08:00
c741dfce7d
Implement a more performant mju_transposeSparse that doesn't require dense memory allocation.
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PiperOrigin-RevId: 505044194
Change-Id: Ibe0e39e3ad711b2b5bdad45180ca4f83b5c8fc82
2023-01-27 00:20:01 -08:00
2d304d65e5
Use memcmp for mju_compare if no AVX. 15% faster on Humanoid.
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PiperOrigin-RevId: 493324356
Change-Id: I5f71dc1a8ae40c18864ea80f00a5f86ff952f72c
2022-12-06 09:14:33 -08:00
c17375fa32
Stop profiling mju_halton in testspeed and bechmarks.
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PiperOrigin-RevId: 490239351
Change-Id: Id73c101672e5b974f16b6b4da3aae757a657de15
2022-11-22 07:41:02 -08:00
7b0fbc63f8
Speed improvement with no AVX. 40% on Linux Intel Xeon and 60% on ARM Mac.
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PiperOrigin-RevId: 488360660
Change-Id: I423269cd362fdcc2434393b691638ac6ed778ef2
2022-11-14 07:31:32 -08:00
ae29a22d55
Add flag benchmark.
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PiperOrigin-RevId: 487788256
Change-Id: Iefab760cafc0123368e5bcd4ec4a579b170f1aba
2022-11-11 04:26:32 -08:00
9fc9823a8c
Speed improvements in mj_solveLD (14% on Intel Skylake Xeon 36 cores).
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PiperOrigin-RevId: 486960670
Change-Id: I8fce96427158ec36069dea893500059e93bd40db
2022-11-08 08:38:45 -08:00
b1a79aa01b
Replace internal-only imports and comments that aren't valid externally.
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PiperOrigin-RevId: 476492651
Change-Id: I310a21a73a65da3a5939f5cb8a1c8a67c8595863
2022-09-23 16:58:58 -07:00
f8b9e3e00f
Add CMake entry for engine_util_spatial_benchmark_test.
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PiperOrigin-RevId: 454424726
Change-Id: If79e9452c18220ddf0107157d78a2f08ce099a04
2022-06-12 01:01:46 -07:00
5ac797965c
Use batch mode in step_benchmark_test.
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d8880e9a12
2022-06-10 04:22:18 -07:00
d8880e9a12
Modify step_benchmark_test.cc to benchmark a fixed, 50-step sequence.
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- Also remove multithreaded benchmark results.
PiperOrigin-RevId: 454102292
Change-Id: I5bd5fb1642adc547e695d2d3553bcaf0cf5c7bed
2022-06-10 00:52:43 -07:00
78c7e6e21f
Add an example benchmark for methods in engine_util_spatial.
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PiperOrigin-RevId: 453609626
Change-Id: I4986196ea3573bc22669c146ab6a311566035b73
2022-06-07 23:56:43 -07:00
1913a02b40
Initial open sourcing of MuJoCo.
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PiperOrigin-RevId: 450374687
Change-Id: Ie3225a46ce095fc28ae8e63c326a640261f562bb
2022-05-23 01:08:49 -07:00
Kyle Bayes