Files
xc-llm-ascend/vllm_ascend/__init__.py
Shuqiao Li 84563fc65d Add sleep mode feature for Ascend NPU (#513)
### 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 #375 and #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 #371 , thanks a lot.

Signed-off-by: Shuqiao Li <celestialli@outlook.com>
2025-04-18 13:11:39 +08:00

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Python

#
# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# This file is a part of the vllm-ascend project.
#
def register():
"""Register the NPU platform."""
return "vllm_ascend.platform.NPUPlatform"
def register_model():
from .models import register_model
register_model()