Files
xc-llm-ascend/tests/e2e/multicard/test_fused_moe_allgather_ep.py
Pleaplusone df0ec55162 Disaggregate prefill for kv cache register style (#950)
### What this PR does / why we need it?
This PR adopt `LLMDataDist` for kv cache register and `pull_blocks`
style disaggregate prefill implementation. The interface implementation
mainly follows the design of NIXL PR
https://github.com/vllm-project/vllm/pull/17751/files#diff-7eaad0b7dee0626bf29d10081b0f0c5e3ea15a4af97e7b182a4e0d35f8346953
.

This PR can be test with the following step:
- Generate the rank table for all machine.
- execute`toy_proxy.py` to launch the disaggregate prefill proxy server,
specify the prefill ip, port and the decode ip, port
- Run the prefill server and decode server.
- send the request to the disaggregate prefill proxy

### Does this PR introduce _any_ user-facing change?

### How was this patch tested?


- vLLM version: v0.9.2
- vLLM main:
8d0a01a5f2

---------

Signed-off-by: ganyi <pleaplusone.gy@gmail.com>
Signed-off-by: machenglong <machenglong_yewu@cmss.chinamobile.com>
Signed-off-by: liziyu179 <3475441767@qq.com>
Signed-off-by: underfitc <hucong24@huawei.com>
Signed-off-by: zouyida2052 <zouyida@huawei.com>
Signed-off-by: liziyu <liziyu16@huawei.com>
Signed-off-by: underfituu <hzhucong@163.com>
Co-authored-by: machenglong <machenglong_yewu@cmss.chinamobile.com>
Co-authored-by: liziyu179 <3475441767@qq.com>
Co-authored-by: underfitc <hucong24@huawei.com>
Co-authored-by: zouyida2052 <zouyida@huawei.com>
Co-authored-by: liziyu <liziyu16@huawei.com>
Co-authored-by: underfituu <hzhucong@163.com>
2025-07-26 17:15:47 +08:00

89 lines
3.1 KiB
Python

#
# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
# Copyright 2023 The vLLM team.
#
# 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.
#
"""
Execute the inference of fused_moe_allgather_ep and fused_moe_alltoall_ep.
Run 'pytest tests/multicard/test_fused_moe_allgather_ep.py'.
"""
import os
from unittest.mock import patch
import pytest
from modelscope import snapshot_download # type: ignore
from vllm import SamplingParams
from tests.e2e.conftest import VllmRunner
@pytest.mark.skipif(
True,
reason=
"Current disaggregated pd implementation may cause memory pulse, which will cause this test OOM, skip this test until the ringmla is ready "
)
@patch.dict(
os.environ, {
"VLLM_WORKER_MULTIPROC_METHOD": "spawn",
"TASK_QUEUE_ENABLE": "1",
"VLLM_ENABLE_FUSED_EXPERTS_ALLGATHER_EP": "1"
})
def test_generate_with_allgather():
example_prompts = ["Hello, my name is"]
sampling_params = SamplingParams(max_tokens=100, temperature=0.0)
with VllmRunner(snapshot_download("vllm-ascend/DeepSeek-V3-Pruning"),
tensor_parallel_size=4,
enforce_eager=True,
max_model_len=1024,
dtype="auto",
enable_expert_parallel=True,
additional_config={
"ascend_scheduler_config": {
"enabled": True,
"chunked_prefill_enabled": False,
},
}) as vllm_model:
vllm_model.generate(example_prompts, sampling_params)
@pytest.mark.skipif(
True,
reason=
"Current disaggregated pd implementation may cause memory pulse, which will cause this test OOM, skip this test until the ringmla is ready "
)
@patch.dict(os.environ, {
"VLLM_WORKER_MULTIPROC_METHOD": "spawn",
"TASK_QUEUE_ENABLE": "1"
})
def test_generate_with_alltoall():
example_prompts = ["Hello, my name is"]
sampling_params = SamplingParams(max_tokens=100, temperature=0.0)
with VllmRunner(snapshot_download("vllm-ascend/DeepSeek-V3-Pruning"),
tensor_parallel_size=4,
enforce_eager=True,
max_model_len=1024,
dtype="auto",
enable_expert_parallel=True,
additional_config={
"ascend_scheduler_config": {
"enabled": True,
"chunked_prefill_enabled": False,
},
}) as vllm_model:
vllm_model.generate(example_prompts, sampling_params)