[Frontend][4/n] Improve pooling entrypoints | pooling. (#39153)

Signed-off-by: wang.yuqi <yuqi.wang@daocloud.io>
This commit is contained in:
wang.yuqi
2026-04-09 18:09:45 +08:00
committed by GitHub
parent b6c9be509e
commit 66c079ae83
43 changed files with 554 additions and 733 deletions

View File

@@ -62,14 +62,17 @@ def test_token_ids_prompts(llm: LLM):
assert outputs[0].outputs.data.shape == (11, 384)
@pytest.mark.parametrize("task", ["embed", "classify", "token_classify"])
@pytest.mark.parametrize("task", ["embed", "classify", "token_classify", "plugin"])
def test_unsupported_tasks(llm: LLM, task: PoolingTask, caplog_vllm):
if task == "embed":
with caplog_vllm.at_level(level=logging.WARNING, logger="vllm"):
llm.encode(prompt, pooling_task=task, use_tqdm=False)
assert "deprecated" in caplog_vllm.text
else:
err_msg = "Classification API is not supported by this model.+"
if task == "plugin":
err_msg = "No IOProcessor plugin installed."
else:
err_msg = "Classification API is not supported by this model.+"
with pytest.raises(ValueError, match=err_msg):
llm.encode(prompt, pooling_task=task, use_tqdm=False)