29d2fe653d
1. refresh additional config doc
2. move kv config logic to platform.
3. improve `dump_config` init logic and rename it to `dump_config_path`
this change is user impacted. dump_config is changed from dict to
string.
4. correct `enable_async_exponential` type
5. remove useless `chunked_prefill_for_mla`
- vLLM version: release/v0.13.0
- vLLM main:
ad32e3e19c
Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
118 lines
3.7 KiB
Python
118 lines
3.7 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.
|
|
# This file is a part of the vllm-ascend project.
|
|
#
|
|
import json
|
|
from typing import Any
|
|
|
|
import openai
|
|
import pytest
|
|
from vllm.utils.network_utils import get_open_port
|
|
|
|
from tests.e2e.conftest import RemoteOpenAIServer
|
|
from tools.aisbench import run_aisbench_cases
|
|
|
|
MODELS = [
|
|
"vllm-ascend/DeepSeek-R1-0528-W8A8",
|
|
]
|
|
|
|
MODES = [
|
|
"single",
|
|
"aclgraph",
|
|
"aclgraph_mlapo",
|
|
]
|
|
|
|
prompts = [
|
|
"San Francisco is a",
|
|
]
|
|
|
|
api_keyword_args = {
|
|
"max_tokens": 10,
|
|
}
|
|
|
|
aisbench_cases = [{
|
|
"case_type": "accuracy",
|
|
"dataset_path": "vllm-ascend/gsm8k-lite",
|
|
"request_conf": "vllm_api_general_chat",
|
|
"dataset_conf": "gsm8k/gsm8k_gen_0_shot_cot_chat_prompt",
|
|
"max_out_len": 32768,
|
|
"batch_size": 32,
|
|
"baseline": 95,
|
|
"threshold": 5
|
|
}, {
|
|
"case_type": "performance",
|
|
"dataset_path": "vllm-ascend/GSM8K-in3500-bs400",
|
|
"request_conf": "vllm_api_stream_chat",
|
|
"dataset_conf": "gsm8k/gsm8k_gen_0_shot_cot_str_perf",
|
|
"num_prompts": 400,
|
|
"max_out_len": 1500,
|
|
"batch_size": 1000,
|
|
"baseline": 1,
|
|
"threshold": 0.97
|
|
}]
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
@pytest.mark.parametrize("model", MODELS)
|
|
@pytest.mark.parametrize("mode", MODES)
|
|
async def test_models(model: str, mode: str) -> None:
|
|
port = get_open_port()
|
|
env_dict = {
|
|
"OMP_NUM_THREADS": "10",
|
|
"OMP_PROC_BIND": "false",
|
|
"HCCL_BUFFSIZE": "1024",
|
|
"PYTORCH_NPU_ALLOC_CONF": "expandable_segments:True"
|
|
}
|
|
speculative_config = {"num_speculative_tokens": 1, "method": "mtp"}
|
|
additional_config = {"enable_weight_nz_layout": True}
|
|
server_args = [
|
|
"--quantization", "ascend", "--data-parallel-size", "2",
|
|
"--tensor-parallel-size", "8", "--enable-expert-parallel", "--port",
|
|
str(port), "--seed", "1024", "--max-model-len", "36864",
|
|
"--max-num-batched-tokens", "4096", "--max-num-seqs", "16",
|
|
"--trust-remote-code", "--gpu-memory-utilization", "0.9",
|
|
"--speculative-config",
|
|
json.dumps(speculative_config)
|
|
]
|
|
if mode == "single":
|
|
server_args.append("--enforce-eager")
|
|
if mode == "aclgraph_mlapo":
|
|
env_dict["VLLM_ASCEND_ENABLE_MLAPO"] = "1"
|
|
server_args.extend(["--additional-config", json.dumps(additional_config)])
|
|
request_keyword_args: dict[str, Any] = {
|
|
**api_keyword_args,
|
|
}
|
|
with RemoteOpenAIServer(model,
|
|
server_args,
|
|
server_port=port,
|
|
env_dict=env_dict,
|
|
auto_port=False) as server:
|
|
client = server.get_async_client()
|
|
batch = await client.completions.create(
|
|
model=model,
|
|
prompt=prompts,
|
|
**request_keyword_args,
|
|
)
|
|
choices: list[openai.types.CompletionChoice] = batch.choices
|
|
assert choices[0].text, "empty response"
|
|
print(choices)
|
|
if mode in ["single"]:
|
|
return
|
|
# aisbench test
|
|
run_aisbench_cases(model,
|
|
port,
|
|
aisbench_cases,
|
|
server_args=server_args)
|