hwLSrSSKJr SSKrSSKJr SSKrSSKJ r SSK J r J r J r SSKJr SSKr\\\R(4r/S Qr\R."\ \ "\5S 9r\R."\ \ "\5S 9r"S S \ 5rg!\a \ "S5ef=f!\a \ "S5ef=f) zJHelper functions and wrapper class for converting between PyTorch and Jax.) annotationsN)Union)DependencyNotInstalled)ArrayConversionarray_conversionmodule_namespacez]Jax is not installed therefore cannot call `torch_to_jax`, run `pip install "gymnasium[jax]"`zaTorch is not installed therefore cannot call `torch_to_jax`, run `pip install "gymnasium[torch]"`) JaxToTorch jax_to_torch torch_to_jaxDevice)xpc4^\rSrSrSrSSU4SjjjrSrU=r$)r 3aWraps a Jax-based environment so that it can be interacted with PyTorch Tensors. Actions must be provided as PyTorch Tensors and observations will be returned as PyTorch Tensors. A vector version of the wrapper exists, :class:`gymnasium.wrappers.vector.JaxToTorch`. Note: For ``rendered`` this is returned as a NumPy array not a pytorch Tensor. Example: >>> import torch # doctest: +SKIP >>> import gymnasium as gym # doctest: +SKIP >>> env = gym.make("JaxEnv-vx") # doctest: +SKIP >>> env = JaxtoTorch(env) # doctest: +SKIP >>> obs, _ = env.reset(seed=123) # doctest: +SKIP >>> type(obs) # doctest: +SKIP >>> action = torch.tensor(env.action_space.sample()) # doctest: +SKIP >>> obs, reward, terminated, truncated, info = env.step(action) # doctest: +SKIP >>> type(obs) # doctest: +SKIP >>> type(reward) # doctest: +SKIP >>> type(terminated) # doctest: +SKIP >>> type(truncated) # doctest: +SKIP Change logs: * v1.0.0 - Initially added cB>[TU]U[[US9 X lg)zWrapper class to change inputs and outputs of environment to PyTorch tensors. Args: env: The Jax-based environment to wrap device: The device the torch Tensors should be moved to )envenv_xp target_xp target_deviceN)super__init__jnptorchdevice)selfrr __class__s Y/home/james-whalen/.local/lib/python3.13/site-packages/gymnasium/wrappers/jax_to_torch.pyrJaxToTorch.__init__Ss" SVT&, )r)N)rzgym.Envrz Device | None)__name__ __module__ __qualname____firstlineno____doc__r__static_attributes__ __classcell__)rs@rr r 3s> , ,rr )r# __future__r functoolstypingr gymnasiumgymgymnasium.errorr#gymnasium.wrappers.array_conversionrrr jax.numpynumpyr ImportErrorrstrrr __all__partialr r r rrr4sQ"2 3 $ %F C  !16Fs6KL   !16Fu6MN +,+,/ g  k sBBBB#