[CI] Update guided decoding ut (#1312)

### What this PR does / why we need it?
Update guided decoding ut.

Signed-off-by: shen-shanshan <467638484@qq.com>

.github/workflows/vllm_ascend_test.yaml

@@ -259,8 +259,7 @@ jobs:
           # TODO: switch hf to modelscope
           VLLM_USE_MODELSCOPE=False HF_ENDPOINT=https://hf-mirror.com \
             pytest -sv tests/e2e/singlecard/test_ilama_lora.py
-          # TODO(sss): guided decoding doesn't work, fix it later
+          pytest -sv tests/e2e/singlecard/test_guided_decoding.py
-          # pytest -sv tests/e2e/singlecard/test_guided_decoding.py
           pytest -sv tests/e2e/singlecard/test_camem.py
           pytest -sv tests/e2e/singlecard/ \
           --ignore=tests/e2e/singlecard/test_offline_inference.py \
@@ -278,8 +277,7 @@ jobs:
           # TODO: switch hf to modelscope
           VLLM_USE_MODELSCOPE=False HF_ENDPOINT=https://hf-mirror.com \
             pytest -sv tests/e2e/singlecard/test_ilama_lora.py
-          # guided decoding doesn't work, fix it later
+          pytest -sv tests/e2e/singlecard/test_guided_decoding.py
-          # pytest -sv tests/e2e/singlecard/test_guided_decoding.py
           pytest -sv tests/e2e/singlecard/test_camem.py
           pytest -sv tests/e2e/singlecard/test_prompt_embedding.py
           pytest -sv tests/e2e/singlecard/ \

tests/e2e/singlecard/test_guided_decoding.py

@@ -28,13 +28,10 @@ from vllm.sampling_params import GuidedDecodingParams, SamplingParams
 from tests.conftest import VllmRunner
 
 os.environ["PYTORCH_NPU_ALLOC_CONF"] = "max_split_size_mb:256"
-MODEL_NAME = "Qwen/Qwen2.5-1.5B-Instruct"
+MODEL_NAME = "Qwen/Qwen2.5-0.5B-Instruct"
-GuidedDecodingBackendV0 = [
+
-    "outlines",
+GuidedDecodingBackendV0 = ["outlines", "lm-format-enforcer", "xgrammar"]
-    "lm-format-enforcer",
+GuidedDecodingBackendV1 = ["xgrammar", "guidance"]
-    "xgrammar",
-]
-GuidedDecodingBackendV1 = ["xgrammar", "guidance:disable-any-whitespace"]
 GuidedDecodingBackend = list(
     set(GuidedDecodingBackendV0 + GuidedDecodingBackendV1))
 
@@ -87,26 +84,25 @@ def sample_json_schema():
     }
 
 
+def check_backend(guided_decoding_backend: str):
+    if guided_decoding_backend not in GuidedDecodingBackendV0 and os.getenv(
+            "VLLM_USE_V1") == "0":
+        pytest.skip(f"{guided_decoding_backend} does not support v0, skip it.")
+    if guided_decoding_backend not in GuidedDecodingBackendV1 and os.getenv(
+            "VLLM_USE_V1") == "1":
+        pytest.skip(f"{guided_decoding_backend} does not support v1, skip it.")
+
+
 @pytest.mark.parametrize("guided_decoding_backend", GuidedDecodingBackend)
 def test_guided_json_completion(guided_decoding_backend: str,
                                 sample_json_schema):
-    if guided_decoding_backend == "xgrammar":
+    check_backend(guided_decoding_backend)
-        # xgrammar does not support json schema, will fall back to outlines, skip it
-        pytest.skip(
-            f"{guided_decoding_backend} will fall back to outlines, skip it")
-    if guided_decoding_backend not in GuidedDecodingBackendV0 and os.getenv(
-            "VLLM_USE_V1") == "0":
-        # guidance does not support on v0, skip it
-        pytest.skip(
-            f"{guided_decoding_backend} does not support on v0, skip it")
-    if guided_decoding_backend not in GuidedDecodingBackendV1 and os.getenv(
-            "VLLM_USE_V1") == "1":
-        pytest.skip(f"{guided_decoding_backend} does not support v1, skip it")
 
     sampling_params = SamplingParams(
         temperature=1.0,
-        max_tokens=1000,
+        max_tokens=500,
         guided_decoding=GuidedDecodingParams(json=sample_json_schema))
+
     with VllmRunner(
             MODEL_NAME,
             seed=0,
@@ -138,19 +134,13 @@ def test_guided_json_completion(guided_decoding_backend: str,
 
 @pytest.mark.parametrize("guided_decoding_backend", GuidedDecodingBackend)
 def test_guided_regex(guided_decoding_backend: str, sample_regex):
-    if guided_decoding_backend not in GuidedDecodingBackendV0 and os.getenv(
+    check_backend(guided_decoding_backend)
-            "VLLM_USE_V1") == "0":
+
-        # guidance does not support on v0, skip it
+    sampling_params = SamplingParams(
-        pytest.skip(
+        temperature=0.8,
-            f"{guided_decoding_backend} does not support on v0, skip it")
+        top_p=0.95,
-    if guided_decoding_backend not in GuidedDecodingBackendV1 and os.getenv(
+        guided_decoding=GuidedDecodingParams(regex=sample_regex))
-            "VLLM_USE_V1") == "1":
-        pytest.skip(f"{guided_decoding_backend} does not support v1, skip it")
 
-    sampling_params = SamplingParams(temperature=0.8,
-                                     top_p=0.95,
-                                     guided_decoding=GuidedDecodingParams(
-                                         regex=sample_regex, ))
     with VllmRunner(
             MODEL_NAME,
             seed=0,