### What this PR does / why we need it? This PR revise the test cases of various features on the warehouse which add the enablement of aclgraph to the test cases. ### Does this PR introduce _any_ user-facing change? no ### How was this patch tested? ut - vLLM version: v0.11.0rc3 - vLLM main: https://github.com/vllm-project/vllm/commit/v0.11.0 Signed-off-by: lilinsiman <lilinsiman@gmail.com>
24 lines
985 B
Python
24 lines
985 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,
|
|
distributed_executor_backend=distributed_executor_backend,
|
|
enforce_eager=False) 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]
|