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Description
When running Genesis on a 5080 GPU, I run into the following:
Bug Description
When I ran Genesis/example/locomotion/go2_train.py, I encountered the following error. There was no issue with the 4060 Ti, but this problem occurs when running on the 5090 GPU. I'm wondering if anyone has experienced similar issues and what solutions you might have. No combination of versions seems to work.
Script
python Genesis/example/locomotion/go2_train.py
Expected Behavior
The script (Genesis/example/locomotion/go2_train.py) should run without CUDA errors on the RTX 5080 GPU, just as it does on the RTX 4060 Ti. The training process should execute normally without any CUDA_ERROR_ILLEGAL_ADDRESS errors.
Relevant log output
RuntimeError: [cuda_driver.h:operator()@92] CUDA Error CUDA_ERROR_ILLEGAL_ADDRESS: an illegal memory access was encountered while calling stream_synchronize (cuStreamSynchronize)
Traceback (most recent call last):
File "/home/-/workspace/Genesis/examples/locomotion/go2_train.py", line 180, in <module>
main()
File "/home/-/workspace/Genesis/examples/locomotion/go2_train.py", line 176, in main
runner.learn(num_learning_iterations=args.max_iterations, init_at_random_ep_len=True)
File "/home/-/.local/lib/python3.10/site-packages/rsl_rl/runners/on_policy_runner.py", line 151, in learn
obs, rewards, dones, infos = self.env.step(actions.to(self.env.device))
File "/home/-/workspace/Genesis/examples/locomotion/go2_env.py", line 129, in step
self.base_pos[:] = self.robot.get_pos()
File "/home/-/workspace/Genesis/genesis/utils/misc.py", line 72, in wrapper
return method(self, *args, **kwargs)
File "/home/-/workspace/Genesis/genesis/engine/entities/rigid_entity/rigid_entity.py", line 1672, in get_pos
return self._solver.get_links_pos(self._base_links_idx, envs_idx, unsafe=unsafe).squeeze(-2)
File "/home/-/workspace/Genesis/genesis/engine/solvers/rigid/rigid_solver_decomp.py", line 4483, in get_links_pos
tensor = ti_field_to_torch(self.links_state.pos, envs_idx, links_idx, transpose=True, unsafe=unsafe)
File "/home/-/workspace/Genesis/genesis/utils/misc.py", line 450, in ti_field_to_torch
ti.sync()
File "/home/-/.local/lib/python3.10/site-packages/taichi/lang/runtime_ops.py", line 8, in sync
impl.get_runtime().sync()
File "/home/-/.local/lib/python3.10/site-packages/taichi/lang/impl.py", line 499, in sync
self.prog.synchronize()
RuntimeError: [cuda_driver.h:operator()@92] CUDA Error CUDA_ERROR_ILLEGAL_ADDRESS: an illegal memory access was encountered while calling stream_synchronize (cuStreamSynchronize)
[Genesis] [10:42:14] [ERROR] RuntimeError: [cuda_driver.h:operator()@92] CUDA Error CUDA_ERROR_ILLEGAL_ADDRESS: an illegal memory access was encountered while calling stream_synchronize (cuStreamSynchronize)
[E 05/19/25 10:42:15.164 189835] [cuda_driver.h:operator()@92] CUDA Error CUDA_ERROR_ILLEGAL_ADDRESS: an illegal memory access was encountered while calling stream_synchronize (cuStreamSynchronize)
Exception ignored in atexit callback: <function destroy at 0x724b395d4550>
Traceback (most recent call last):
File "/home/-/workspace/Genesis/genesis/__init__.py", line 271, in destroy
ti.reset()
File "/home/-/.local/lib/python3.10/site-packages/taichi/lang/misc.py", line 220, in reset
impl.reset()
File "/home/-/.local/lib/python3.10/site-packages/taichi/lang/impl.py", line 512, in reset
pytaichi.clear()
File "/home/-/.local/lib/python3.10/site-packages/taichi/lang/impl.py", line 492, in clear
self.prog.finalize()
RuntimeError: [cuda_driver.h:operator()@92] CUDA Error CUDA_ERROR_ILLEGAL_ADDRESS: an illegal memory access was encountered while calling stream_synchronize (cuStreamSynchronize)
[E 05/19/25 10:42:15.569 189835] [cuda_driver.h:operator()@92] CUDA Error CUDA_ERROR_ILLEGAL_ADDRESS: an illegal memory access was encountered while calling stream_synchronize (cuStreamSynchronize)
[E 05/19/25 10:42:15.569 189835] [cuda_driver.h:operator()@92] CUDA Error CUDA_ERROR_ILLEGAL_ADDRESS: an illegal memory access was encountered while calling mem_free (cuMemFree_v2)
terminate called after throwing an instance of 'std::__cxx11::basic_string<char, std::char_traits, std::allocator >'
Environment
OS: Ubuntu 22.04
GPU/CPU: 5080 / Intel(R) Core(TM) Ultra 7 265K
GPU-driver version: 570.144
CUDA / CUDA-toolkit version: 12.8
torch ver.: 2.7.0+cu128
Release version or Commit ID
v0.2.1-312-g37c1ce6
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