Copybara import of the project:
-- 3a95b62f59e81bfef0f076afb173ecc14b27943d by Levi Burner <leviburner@gmail.com>: rollout prototype native threadpool for comparing to python threads -- efd8be1124ac839b902de45973a3ca8b9f2215e6 by Levi Burner <leviburner@gmail.com>: copy mjpcs threadpool into python bindings -- 75603eea3e8362e354a9675e8a6cd14e56ec3d28 by Levi Burner <leviburner@gmail.com>: rollout use threadpool as translation unit -- 06b90febd021663f6cc81fd7895e4d6e2008ed97 by Levi Burner <leviburner@gmail.com>: rollout add chunk_divisor parameter -- 298ab2f3c0d6e12530832c3cdbf784dd92d54806 by Levi Burner <leviburner@gmail.com>: rollout add native threading test -- 169cf9978e7abad6edd1392b8e6aab995e4f8f10 by Levi Burner <leviburner@gmail.com>: rollout exchange chunk_divisor arg for chunk_size -- 265af851d74432d261277d3dbda11cdef1841bc8 by Levi Burner <leviburner@gmail.com>: rollout fix cosmetics -- 1e8bffa88bf36190501b334bef31147e23db39f7 by Levi Burner <leviburner@gmail.com>: make native rollout a class instead of a function -- ba788214b047577f58c41ce0ab6c62c277cd8b0d by Levi Burner <leviburner@gmail.com>: rollout update docs and changelog -- e4cb7732319e04cba2ab2c2ad848c659f6309808 by Levi Burner <leviburner@gmail.com>: rollout don't register atexit handler for Rollout objects -- 5a08d2efdbbbb01d4b1231ff9a36a1dc44f4d9ee by Levi Burner <leviburner@gmail.com>: rollout nthread kwarg, rename shutdown_pool to close, fixups -- f622378543596a208339af0208fa3a70bf2a8007 by Levi Burner <leviburner@gmail.com>: rollout add missing .close() calls -- 50f3ebca43c53eac03f03943c34bb1e46967bd4f by Levi Burner <leviburner@gmail.com>: rollout return immediately COPYBARA_INTEGRATE_REVIEW=https://github.com/google-deepmind/mujoco/pull/2282 from aftersomemath:rollout-threaded 50f3ebca43c53eac03f03943c34bb1e46967bd4f PiperOrigin-RevId: 706744277 Change-Id: I1ab2263b7d6ce30cf1908aec8fd5f2eb976a19e6
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@@ -5,6 +5,14 @@ Changelog
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Upcoming version (not yet released)
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-----------------------------------
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Python bindings
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^^^^^^^^^^^^^^^
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- :ref:`rollout<PyRollout>` now features native multi-threading. If a sequence of ``MjData`` instances
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of length ``nthread`` is passed in, ``rollout`` will automatically create a thread pool and parallelize
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the computation. The thread pool can be resused across calls, but then the function cannot be called simultaneously
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from multiple threads. To run multiple threaded rollouts simultaneously, use the new class ``Rollout`` which
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encapsulates the thread pool. Contribution by :github:user:`aftersomemath`.
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Bug fixes
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^^^^^^^^^
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- Fixed a bug in the box-sphere collider, depth was incorrect for deep penetrations (:github:issue:`2206`).
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