[Refactor] [3/N] Move tool parser tests and run on CPU (#30693)

Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>
This commit is contained in:
Cyrus Leung
2025-12-15 21:45:36 +08:00
committed by GitHub
parent 2a1776b7ac
commit ed586e7724
16 changed files with 14 additions and 53 deletions

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@@ -12,8 +12,6 @@ from vllm.tool_parsers.glm4_moe_tool_parser import (
Glm4MoeModelToolParser,
)
pytestmark = pytest.mark.cpu_test
pytest.skip("skip glm4_moe parser test", allow_module_level=True)
# Use a common model that is likely to be available
MODEL = "zai-org/GLM-4.5"

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@@ -13,8 +13,6 @@ from vllm.tokenizers import TokenizerLike, get_tokenizer
from vllm.tokenizers.detokenizer_utils import detokenize_incrementally
from vllm.tool_parsers.jamba_tool_parser import JambaToolParser
pytestmark = pytest.mark.cpu_test
MODEL = "ai21labs/Jamba-tiny-dev"

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@@ -10,8 +10,6 @@ from vllm.entrypoints.openai.protocol import FunctionCall, ToolCall
from vllm.tokenizers import get_tokenizer
from vllm.tool_parsers.kimi_k2_tool_parser import KimiK2ToolParser
pytestmark = pytest.mark.cpu_test
# Use a common model that is likely to be available
MODEL = "moonshotai/Kimi-K2-Instruct"

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@@ -15,8 +15,6 @@ from vllm.entrypoints.openai.protocol import (
from vllm.tokenizers import get_tokenizer
from vllm.tool_parsers.minimax_tool_parser import MinimaxToolParser
pytestmark = pytest.mark.cpu_test
# Use a common model that is likely to be available
MODEL = "MiniMaxAi/MiniMax-M1-40k"

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@@ -20,8 +20,6 @@ from vllm.tool_parsers.qwen3coder_tool_parser import (
)
from vllm.tool_parsers.qwen3xml_tool_parser import Qwen3XMLToolParser
pytestmark = pytest.mark.cpu_test
MODEL = "Qwen/Qwen3-Coder-30B-A3B-Instruct-FP8"

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@@ -18,8 +18,6 @@ from vllm.tokenizers import TokenizerLike, get_tokenizer
from vllm.tokenizers.detokenizer_utils import detokenize_incrementally
from vllm.tool_parsers.seed_oss_tool_parser import SeedOssToolParser
pytestmark = pytest.mark.cpu_test
# Use a common model that is likely to be available
MODEL = "ByteDance-Seed/Seed-OSS-36B-Instruct"

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@@ -16,8 +16,6 @@ from vllm.tokenizers import TokenizerLike, get_tokenizer
from vllm.tokenizers.detokenizer_utils import detokenize_incrementally
from vllm.tool_parsers.xlam_tool_parser import xLAMToolParser
pytestmark = pytest.mark.cpu_test
# Use a common model that is likely to be available
MODEL = "Salesforce/Llama-xLAM-2-8B-fc-r"