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[reward] fix: support RemoteRewardManager in load_reward_manager when use_reward_loop=True for fix math-verify issue #3407 e2e_sft_llm_ascend #24: Pull request #4985 synchronize by DtYXs
57m 34s DtYXs:math_verify_fix
DtYXs:math_verify_fix
57m 34s
[perf] fix: infer server profiler args fix e2e_sft_llm_ascend #23: Pull request #5121 synchronize by mengchengTang
Action required mengchengTang:profiler_fix
mengchengTang:profiler_fix
Action required
[vllm] feat: add shared memory support for weight transfer and IPC su… e2e_sft_llm_ascend #22: Commit 1d8377f pushed by wuxibin89
3m 2s main
main
3m 2s
why are there multiple settings for actor_rollout_ref.model.enable_gradient_checkpointing? Is this a deliberate design choice? e2e_sft_llm_ascend #21: Pull request #4263 synchronize by khazic
Action required khazic:main
khazic:main
Action required
[doc] chore: update readme for SPEAR algorithm (#5124) e2e_sft_llm_ascend #20: Commit a7d381e pushed by wuxibin89
37m 3s main
main
37m 3s
why are there multiple settings for actor_rollout_ref.model.enable_gradient_checkpointing? Is this a deliberate design choice? e2e_sft_llm_ascend #19: Pull request #4263 synchronize by khazic
Action required khazic:main
khazic:main
Action required
[perf] fix: infer server profiler args fix e2e_sft_llm_ascend #18: Pull request #5121 synchronize by mengchengTang
Action required mengchengTang:profiler_fix
mengchengTang:profiler_fix
Action required
why are there multiple settings for actor_rollout_ref.model.enable_gradient_checkpointing? Is this a deliberate design choice? e2e_sft_llm_ascend #17: Pull request #4263 synchronize by khazic
Action required khazic:main
khazic:main
Action required
[ci] feat: add npu workflow，e2e_sft_llm&model&reward_model_vllm (#5039) e2e_sft_llm_ascend #15: Commit b20e1c8 pushed by wucong25
1h 24m 50s main
main
1h 24m 50s
[ci] feat: add npu workflow，e2e_sft_llm&model&reward_model_vllm e2e_sft_llm_ascend #14: Pull request #5039 synchronize by yyyy2000
45m 50s yyyy2000:ut0125
yyyy2000:ut0125
45m 50s
[ci] feat: add npu workflow，e2e_sft_llm&model&reward_model_vllm e2e_sft_llm_ascend #13: Pull request #5039 synchronize by yyyy2000
43m 47s yyyy2000:ut0125
yyyy2000:ut0125
43m 47s
[ci] feat: add npu workflow，e2e_sft_llm&model&reward_model_vllm e2e_sft_llm_ascend #12: Pull request #5039 synchronize by yyyy2000
40m 51s yyyy2000:ut0125
yyyy2000:ut0125
40m 51s
[ci] feat: add npu workflow，e2e_sft_llm&model&reward_model_vllm e2e_sft_llm_ascend #11: Pull request #5039 synchronize by yyyy2000
37m 22s yyyy2000:ut0125
yyyy2000:ut0125
37m 22s
[ci] feat: add npu workflow，e2e_sft_llm&model&reward_model_vllm e2e_sft_llm_ascend #10: Pull request #5039 synchronize by yyyy2000
4m 51s yyyy2000:ut0125
yyyy2000:ut0125
4m 51s
[ci] feat: add npu workflow，e2e_sft_llm&model&reward_model_vllm e2e_sft_llm_ascend #9: Pull request #5039 synchronize by yyyy2000
34m 29s yyyy2000:ut0125
yyyy2000:ut0125
34m 29s
[ci] feat: add npu workflow，e2e_sft_llm&model&reward_model_vllm e2e_sft_llm_ascend #8: Pull request #5039 synchronize by yyyy2000
34m 18s yyyy2000:ut0125
yyyy2000:ut0125
34m 18s
[ci] feat: add npu workflow，e2e_sft_llm&model&reward_model_vllm e2e_sft_llm_ascend #7: Pull request #5039 synchronize by yyyy2000
42m 5s yyyy2000:ut0125
yyyy2000:ut0125
42m 5s
[ci] feat: add npu workflow，e2e_sft_llm&model&reward_model_vllm e2e_sft_llm_ascend #6: Pull request #5039 synchronize by yyyy2000
35m 1s yyyy2000:ut0125
yyyy2000:ut0125
35m 1s
[ci] feat: add npu workflow，e2e_sft_llm&model&reward_model_vllm e2e_sft_llm_ascend #5: Pull request #5039 synchronize by yyyy2000
7m 41s yyyy2000:ut0125
yyyy2000:ut0125
7m 41s
[ci] feat: add npu workflow，e2e_sft_llm&model&reward_model_vllm e2e_sft_llm_ascend #4: Pull request #5039 synchronize by yyyy2000
8m 4s yyyy2000:ut0125
yyyy2000:ut0125
8m 4s
[ci] feat: add npu workflow，e2e_sft_llm&model&reward_model_vllm e2e_sft_llm_ascend #3: Pull request #5039 synchronize by yyyy2000
34m 8s yyyy2000:ut0125
yyyy2000:ut0125
34m 8s
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