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A high-throughput and memory-efficient inference and serving engine for LLMs

Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git

Synced Nov 7, 02:45 UTC

[ROCm][CI] Accept Different But Valid Output for `test_olmoe_tp` (#35224)

Micah Williamson committed Mar 7, 2026 at 15:50 UTC ee54f9cdb91f04350bba0cf11890b02b12c62baa
1 file changed +20 -5
tests/lora/test_olmoe_tp.py
+20 -5
@@ -3,6 +3,7 @@
3
4
5 import shutil
6 +from collections.abc import Sequence
7
8 import pytest
9 import torch
@@ -15,7 +16,7 @@ from ..utils import multi_gpu_test
16
17 MODEL_PATH = "allenai/OLMoE-1B-7B-0125-Instruct"
18
18 -PROMPT_TEMPLATE = """I want you to act as a SQL terminal in front of an example database, you need only to return the sql command to me.Below is an instruction that describes a task, Write a response that appropriately completes the request.
19 +PROMPT_TEMPLATE = """I want you to act as a SQL terminal in front of an example database, you need only to return the sql command to me. Do not return any additional explanation. Below is an instruction that describes a task, Write a response that appropriately completes the request.
20 "
21 ##Instruction:
22 candidate_poll contains tables such as candidate, people. Table candidate has columns such as Candidate_ID, People_ID, Poll_Source, Date, Support_rate, Consider_rate, Oppose_rate, Unsure_rate. Candidate_ID is the primary key.
@@ -39,10 +40,20 @@ EXPECTED_BASE_MODEL_OUTPUT = [
40 "SELECT COUNT(Candidate_ID) FROM candidate",
41 "SELECT COUNT(Candidate_ID) FROM candidate",
42 "SELECT Candidate_ID, COUNT(*) as Total_Candidates\nFROM candidate\nINNER JOIN people ON candidate.People_ID = people.People_ID", # noqa: E501
42 - "SELECT Candidate_ID, Poll_Source FROM candidate WHERE People_ID IN (SELECT People_ID FROM people) ORDER BY COUNT(*) DESC LIMIT 1", # noqa: E501
43 + # There are multiple acceptable responses
44 + (
45 + "SELECT Candidate_ID, Poll_Source FROM candidate WHERE People_ID IN (SELECT People_ID FROM people) ORDER BY COUNT(*) DESC LIMIT 1", # noqa: E501
46 + "SELECT Candidate_ID, Poll_Source FROM candidate WHERE COUNT(People_ID) = (SELECT COUNT(People_ID) FROM people) ORDER BY Candidate_ID DESC LIMIT 1", # noqa: E501
47 + ),
48 ]
49
50
51 +def _output_matches(generated: str, accepted: str | Sequence[str]) -> bool:
52 + if isinstance(accepted, str):
53 + accepted = (accepted,)
54 + return any(generated.startswith(s) for s in accepted)
55 +
56 +
57 def generate_and_test(
58 llm: vllm.LLM,
59 lora_path: str,
@@ -90,9 +101,13 @@ def generate_and_test(
101
102 if compare_lower:
103 generated_text = generated_text.lower()
93 - expected_output = expected_output.lower()
94 -
95 - assert generated_text.startswith(expected_output)
104 + if isinstance(expected_output, str):
105 + expected_output = (expected_output.lower(),)
106 + else:
107 + expected_output = tuple(s.lower() for s in expected_output)
108 + assert _output_matches(generated_text, expected_output), (
109 + f"Output {i}: {generated_text!r} does not match any of {expected_output!r}"
110 + )
111
112
113 def test_olmoe_lora(olmoe_lora_files):