[ModelRunner] Revert "[Fix] Pads query_start_loc to satisfy FIA/TND constraint (#6459)

This reverts commit 56f5d3bd49.

### What this PR does / why we need it?
The patch https://github.com/vllm-project/vllm-ascend/pull/6357 which
break the functionality availability in the spec_decode scenario, let's
revert and make CI happy first
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: v0.14.1
- vLLM main:
dc917cceb8

Signed-off-by: wangli <wangli858794774@gmail.com>

tests/e2e/singlecard/test_aclgraph_accuracy.py

@@ -44,29 +44,6 @@ CASE_DS_ACLGRAPH = LLMTestCase(
     ],
 )
 
-CASE_QWEN_FULL = LLMTestCase(
-    model="Qwen/Qwen3-0.6B",
-    prompts=PROMPTS_SHORT,
-    golden_answers=[
-        " Lina. I'm a 22-year-old student from China. I'm interested in studying in the US. I want to know if there are any",
-        ' the same as the president of the United Nations. This is because the president of the United States is the same as the president of the United Nations. The president',
-        ' Paris. The capital of France is also the capital of the Republic of France. The capital of France is also the capital of the European Union. The capital of',
-        ' not just a technological frontier but a profound transformation of how we live, work, and interact with the world. As we stand at the intersection of artificial intelligence and'
-    ],
-)
-
-CASE_DS_FULL = LLMTestCase(
-    model="vllm-ascend/DeepSeek-V2-Lite-W8A8",
-    quantization="ascend",
-    prompts=PROMPTS_SHORT,
-    golden_answers=[
-        '\nI am a 20 year old female, and I have been suffering from depression for 3 years now. I have been on medication for 2',
-        ' a man who has been in the public eye for decades. He has been a senator, a governor, and a businessman. He has also been married to the',
-        ' Paris, which is also the largest city in the country. The city is located on the River Seine and is known for its beautiful architecture, museums, and art',
-        ' here, and it’s not what you think.\nThe future of AI is here, and it’s not what you think.\nThe future of'
-    ],
-)
-
 CASE_QWEN_FULL_DECODE_ONLY = LLMTestCase(
     model="Qwen/Qwen3-0.6B",
     prompts=PROMPTS_LONG,
@@ -117,23 +94,6 @@ def test_piecewise_res_consistency(cur_case: LLMTestCase):
                   sampling_params=cur_case.sampling_params,
                   golden_answers=cur_case.golden_answers)
 
-@pytest.mark.parametrize(
-    "cur_case", [CASE_QWEN_FULL, CASE_DS_FULL])
-def test_full_res_consistency(cur_case: LLMTestCase, monkeypatch):
-    monkeypatch.delenv("HCCL_OP_EXPANSION_MODE", raising=False)
-    runner_kwargs = {
-        "model_name": cur_case.model,
-        "max_model_len": 1024,
-        "compilation_config": {
-            "cudagraph_capture_sizes": [4, 8, 32, 64],
-            "cudagraph_mode": "FULL_DECODE_ONLY"
-        },
-        "quantization": cur_case.quantization,
-    }
-    gen_and_valid(runner_kwargs=runner_kwargs,
-                  prompts=cur_case.prompts,
-                  sampling_params=cur_case.sampling_params,
-                  golden_answers=cur_case.golden_answers)
 
 @pytest.mark.parametrize(
     "cur_case", [CASE_QWEN_FULL_DECODE_ONLY, CASE_DS_FULL_DECODE_ONLY])