EngineX/xc-llm-ascend
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[CI] drop ascend scheduler test (#4582)

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let' drop ascend scheduler test first to ensure all function works
without it.


- vLLM version: v0.11.2
- vLLM main: https://github.com/vllm-project/vllm/commit/v0.11.2

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
This commit is contained in:
wangxiyuan
2025-12-01 20:33:50 +08:00
committed by GitHub
parent 203b4e6777
commit 27b09ca9b9
28 changed files with 53 additions and 376 deletions
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41
tests/e2e/singlecard/spec_decode_v1/test_v1_mtp_correctness.py
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@@ -48,27 +48,26 @@ def mtp_correctness(sampling_config: SamplingParams,
if graph_mode == CUDAGraphMode.FULL:
graph_mode_str = "FULL_DECODE_ONLY"
with VllmRunner(
model_name,
tensor_parallel_size=1,
max_num_seqs=256,
gpu_memory_utilization=0.7,
distributed_executor_backend="mp",
enable_expert_parallel=True,
speculative_config={
"method": "deepseek_mtp",
"num_speculative_tokens": num_speculative_tokens,
"disable_padded_drafter_batch": disable_padded_drafter_batch,
},
enforce_eager=enforce_eager,
max_model_len=2000,
compilation_config=CompilationConfig(
cudagraph_mode=graph_mode_str,
cudagraph_capture_sizes=[12],
),
additional_config={"ascend_scheduler_config": {
"enabled": False
}}) as spec_llm:
with VllmRunner(model_name,
tensor_parallel_size=1,
max_num_seqs=256,
gpu_memory_utilization=0.7,
distributed_executor_backend="mp",
enable_expert_parallel=True,
speculative_config={
"method":
"deepseek_mtp",
"num_speculative_tokens":
num_speculative_tokens,
"disable_padded_drafter_batch":
disable_padded_drafter_batch,
},
enforce_eager=enforce_eager,
max_model_len=2000,
compilation_config=CompilationConfig(
cudagraph_mode=graph_mode_str,
cudagraph_capture_sizes=[12],
)) as spec_llm:
spec_outputs = spec_llm.generate(example_prompts, sampling_config)
matches = 0