Files
xc-llm-ascend/tests/e2e/multicard/test_ilama_lora_tp2.py
zhangxinyuehfad 4e910186de [CI/UT] Unify model usage via ModelScope in CI (#1207)
### What this PR does / why we need it?
Unify Model Usage via ModelScope

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
CI passed

Signed-off-by: hfadzxy <starmoon_zhang@163.com>
2025-07-04 10:52:17 +08:00

23 lines
927 B
Python

import pytest
from modelscope import snapshot_download # type: ignore
from tests.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,
max_model_len=1024,
max_num_seqs=16,
tensor_parallel_size=2,
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]