Add sleep mode feature for Ascend NPU #513
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Signed-off-by: Shuqiao Li <[email protected]>
celestialli
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LGTM. sleep mode feature is mainly reviewed via 0.7.3 branch. let's merge this quickly first. |
wangxiyuan
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Apr 18, 2025
ttanzhiqiang
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Apr 27, 2025
### What this PR does / why we need it? This PR adds sleep mode feature for vllm-ascend, when sleeps, we do mainly two things: - offload model weights - discard kv cache RLHF tools(such as https://github.com/volcengine/verl and https://github.com/OpenRLHF/OpenRLHF) have a strong need of sleep mode to accelerate the training process. This PR may solve vllm-project#375 and vllm-project#320 . ### Does this PR introduce _any_ user-facing change? No existing user interfaces changed. Users will have two new methods(`sleep()` and `wake_up()`) to use. ### How was this patch tested? This PR is tested with Qwen/Qwen2.5-0.5B-Instruct. At first, we have free NPU memory M1. After `llm = LLM("Qwen/Qwen2.5-0.5B-Instruct", enable_sleep_mode=True)` executed, we have free NPU memory M2. M2 < M1. Then we call `llm.sleep(level=1)`, we have free NPU memory M3. We have M3 > M2, M3 is very close to M1. Plus, we have the same output tokens before sleep and after wake up, with the config of `SamplingParams(temperature=0, max_tokens=10)` and with the same input tokens of course. This PR is utilizing the CMake procedure of vllm-project#371 , thanks a lot. Signed-off-by: Shuqiao Li <[email protected]>
Angazenn
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Oct 21, 2025
### What this PR does / why we need it? This PR adds sleep mode feature for vllm-ascend, when sleeps, we do mainly two things: - offload model weights - discard kv cache RLHF tools(such as https://github.com/volcengine/verl and https://github.com/OpenRLHF/OpenRLHF) have a strong need of sleep mode to accelerate the training process. This PR may solve vllm-project#375 and vllm-project#320 . ### Does this PR introduce _any_ user-facing change? No existing user interfaces changed. Users will have two new methods(`sleep()` and `wake_up()`) to use. ### How was this patch tested? This PR is tested with Qwen/Qwen2.5-0.5B-Instruct. At first, we have free NPU memory M1. After `llm = LLM("Qwen/Qwen2.5-0.5B-Instruct", enable_sleep_mode=True)` executed, we have free NPU memory M2. M2 < M1. Then we call `llm.sleep(level=1)`, we have free NPU memory M3. We have M3 > M2, M3 is very close to M1. Plus, we have the same output tokens before sleep and after wake up, with the config of `SamplingParams(temperature=0, max_tokens=10)` and with the same input tokens of course. This PR is utilizing the CMake procedure of vllm-project#371 , thanks a lot. Signed-off-by: Shuqiao Li <[email protected]>
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What this PR does / why we need it?
This PR adds sleep mode feature for vllm-ascend, when sleeps, we do mainly two things:
RLHF tools(such as https://github.com/volcengine/verl and https://github.com/OpenRLHF/OpenRLHF) have a strong need of sleep mode to accelerate the training process.
This PR may solve #375 and #320 .
Does this PR introduce any user-facing change?
No existing user interfaces changed.
Users will have two new methods(
sleep()andwake_up()) to use.How was this patch tested?
This PR is tested with Qwen/Qwen2.5-0.5B-Instruct.
At first, we have free NPU memory M1.
After
llm = LLM("Qwen/Qwen2.5-0.5B-Instruct", enable_sleep_mode=True)executed, we have free NPU memory M2. M2 < M1.Then we call
llm.sleep(level=1), we have free NPU memory M3.We have M3 > M2, M3 is very close to M1.
Plus, we have the same output tokens before sleep and after wake up, with the config of
SamplingParams(temperature=0, max_tokens=10)and with the same input tokens of course.This PR is utilizing the CMake procedure of #371 , thanks a lot.
Related: vllm-project/vllm#16562