mani_skill.envs.utils.randomization.batched_rng
===============================================

.. py:module:: mani_skill.envs.utils.randomization.batched_rng

.. autoapi-nested-parse::

   Code implementation for a batched random number generator. The goal is to enable seeding a batched random number generator with a batch of seeds to ensure randomization
   in CPU simulators and GPU simulators are the same



Classes
-------

.. autoapisummary::

   mani_skill.envs.utils.randomization.batched_rng.BatchedRNG


Module Contents
---------------

.. py:class:: BatchedRNG(rngs)

   Bases: :py:obj:`numpy.random.RandomState`


   .. py:method:: __getattribute__(item)


   .. py:method:: __getitem__(idx)


   .. py:method:: __setitem__(idx, value)


   .. py:method:: from_rngs(rngs)
      :classmethod:



   .. py:method:: from_seeds(seeds, backend = 'numpy:random_state')
      :classmethod:



   .. py:attribute:: batch_size


   .. py:attribute:: rngs