Files
xc-llm-ascend/tests/e2e/multicard/test_ilama_lora_tp2.py
zhangyiming 45c5bcd962 [E2E] Optimize the E2E test time. (#5294)
### What this PR does / why we need it?
Add cudagraph_capture_sizes for E2E CI test.

- vLLM version: release/v0.13.0
- vLLM main:
ad32e3e19c

Signed-off-by: menogrey <1299267905@qq.com>
2025-12-26 14:17:50 +08:00

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957 B
Python

import pytest
from modelscope import snapshot_download # type: ignore
from tests.e2e.conftest import VllmRunner
from tests.e2e.singlecard.test_ilama_lora import (EXPECTED_LORA_OUTPUT,
MODEL_PATH, do_sample)
@pytest.mark.parametrize("distributed_executor_backend", ["mp"])
def test_ilama_lora_tp2(distributed_executor_backend, ilama_lora_files):
with VllmRunner(
snapshot_download(MODEL_PATH),
enable_lora=True,
max_loras=4,
dtype="half",
max_model_len=1024,
max_num_seqs=16,
tensor_parallel_size=2,
cudagraph_capture_sizes=[1, 2, 4, 8],
distributed_executor_backend=distributed_executor_backend,
) as vllm_model:
output = do_sample(vllm_model.model, ilama_lora_files, lora_id=2)
for i in range(len(EXPECTED_LORA_OUTPUT)):
assert output[i] == EXPECTED_LORA_OUTPUT[i]