Comments (1)
Test passed on latest run: https://buildkite.com/ray-project/release/builds/16251#018faf37-aeb2-4f5a-9cfa-5b3b2535c38c
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Related Issues (20)
- CI test windows://python/ray/tests:accelerators/test_amd_gpu is consistently_failing HOT 5
- CI test darwin://python/ray/tests:accelerators/test_amd_gpu is consistently_failing HOT 4
- Docker ray doesn’t recognise cuda gpu within container HOT 1
- [Ray Java] Memory leak in object store when Java application invokes a remote Python function HOT 6
- [Ray Java] can't transfer ObjectRef from JAVA application to PYTHON deployment HOT 9
- [Core] gcs_server.out becomes too big HOT 2
- [Ray Dashboard] SearchSelect bug makes search have no All options
- [tune] AMD-Instinct-MI250X falsely shown as unused HOT 2
- [Core] Excessive inlined arguments cause `rpc::TaskSpec` to exceed the gRPC request size limit. HOT 2
- [Core] When using generators, `task::execute` profile event is not observed on ray timeline HOT 1
- CI test linux://rllib:learning_tests_multi_agent_cartpole_crashing_appo_old_api_stack is flaky
- CI test linux://rllib:learning_tests_multi_agent_cartpole_crashing_appo_old_api_stack is flaky HOT 4
- |RLlib] DeprecationWarning for custom RLModuleSpec may be too much
- [Data] Add API support for passing sample weights via ray.dataset.to_tf HOT 5
- [core] Support Python BaseExceptionGroup.
- [core] Actor process leaks when passed a handle to itself
- [Docker] Docker ray doesn’t recognise cuda gpu within container HOT 1
- Release test rllib_learning_tests_pong_ppo_torch.aws failed HOT 3
- [Triton] Update OSS docs
- [Triton] Benchmark on performance
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