[single_controller, ray] fix: shut ray down after initializes it (#3317)

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To prevent Ascend NPU TBE errors caused by resource leakage, ensure that
ray.shutdown()is explicitly called after initializing Ray with
ray.init().

Address the first issue in
https://github.com/volcengine/verl/issues/3316

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Co-authored-by: lantian7 <liuchun22@huawei.com>
This commit is contained in:
lantian7
2025-09-03 10:51:36 +08:00
committed by GitHub
parent 2bef4acb73
commit 1c6d9feff4

View File

@ -46,19 +46,23 @@ def run_ppo(config) -> None:
print(f"ray init kwargs: {ray_init_kwargs}")
ray.init(**OmegaConf.to_container(ray_init_kwargs))
if (
is_cuda_available
and config.global_profiler.tool == "nsys"
and OmegaConf.select(config.global_profiler, "steps") is not None
and len(OmegaConf.select(config.global_profiler, "steps")) > 0
):
nsight_options = OmegaConf.to_container(
config.global_profiler.global_tool_config.nsys.controller_nsight_options
)
runner = TaskRunner.options(runtime_env={"nsight": nsight_options}).remote()
else:
runner = TaskRunner.remote()
ray.get(runner.run.remote(config))
try:
if (
is_cuda_available
and config.global_profiler.tool == "nsys"
and OmegaConf.select(config.global_profiler, "steps") is not None
and len(OmegaConf.select(config.global_profiler, "steps")) > 0
):
nsight_options = OmegaConf.to_container(
config.global_profiler.global_tool_config.nsys.controller_nsight_options
)
runner = TaskRunner.options(runtime_env={"nsight": nsight_options}).remote()
else:
runner = TaskRunner.remote()
ray.get(runner.run.remote(config))
finally:
if ray.is_initialized():
ray.shutdown()
@ray.remote(num_cpus=1) # please make sure main_task is not scheduled on head