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[CI]Fix eplb nightly tests. (#3863)

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### What this PR does / why we need it?

Fix eplb nightly tests.
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?


- vLLM version: v0.11.0rc3
- vLLM main:
83f478bb19

---------

Signed-off-by: offline0806 <3337230449@qq.com>
Co-authored-by: offline0806 <3337230449@qq.com>
This commit is contained in:
offline893
2025-10-29 23:06:05 +08:00
committed by GitHub
parent 870a3f21cb
commit 5f176ca992
2 changed files with 8 additions and 6 deletions
Download Patch File Download Diff File Expand all files Collapse all files

7
tests/e2e/nightly/models/test_deepseek_r1_w8a8_eplb.py
View File

@@ -45,7 +45,7 @@ aisbench_cases = [{
"dataset_conf": "gsm8k/gsm8k_gen_0_shot_cot_chat_prompt",
"max_out_len": 32768,
"batch_size": 32,
"baseline": 95,
"baseline": 93,
"threshold": 5
}, {
"case_type": "performance",
@@ -72,7 +72,8 @@ async def test_models(model: str, tp_size: int, dp_size: int) -> None:
"OMP_PROC_BIND": "false",
"HCCL_OP_EXPANSION_MODE": "AIV",
"PAGED_ATTENTION_MASK_LEN": "5500",
"DYNAMIC_EPLB": "true"
"DYNAMIC_EPLB": "true",
"HCCL_BUFFSIZE": "1024"
}
server_args = [
"--no-enable-prefix-caching", "--enable-expert-parallel",
@@ -84,7 +85,7 @@ async def test_models(model: str, tp_size: int, dp_size: int) -> None:
"--quantization", "ascend", "--gpu-memory-utilization", "0.9",
"--additional-config", '{"enable_weight_nz_layout":true, '
'"torch_air_graph_config":{"enabled": true, "enable_multistream_mla": true, "graph_batch_size": [16], "use_cached_graph": true},'
'"dynamic_eplb": true, "num_iterations_eplb_update": 200, "num_wait_worker_iterations": 100, "init_redundancy_expert": 16}'
'"dynamic_eplb": true, "num_iterations_eplb_update": 1000, "num_wait_worker_iterations": 200, "init_redundancy_expert": 16}'
]
request_keyword_args: dict[str, Any] = {
**api_keyword_args,

7
tests/e2e/nightly/models/test_qwen3_235b_a22b_w8a8_eplb.py
View File

@@ -44,7 +44,7 @@ aisbench_cases = [{
"dataset_conf": "gsm8k/gsm8k_gen_0_shot_cot_chat_prompt",
"max_out_len": 32768,
"batch_size": 32,
"baseline": 95,
"baseline": 93,
"threshold": 5
}, {
"case_type": "performance",
@@ -70,7 +70,8 @@ async def test_models(model: str, tp_size: int) -> None:
"OMP_PROC_BIND": "false",
"HCCL_OP_EXPANSION_MODE": "AIV",
"PAGED_ATTENTION_MASK_LEN": "5500",
"DYNAMIC_EPLB": "true"
"DYNAMIC_EPLB": "true",
"HCCL_BUFFSIZE": "1024"
}
server_args = [
"--no-enable-prefix-caching", "--enable-expert-parallel",
@@ -81,7 +82,7 @@ async def test_models(model: str, tp_size: int) -> None:
"--quantization", "ascend", "--gpu-memory-utilization", "0.9",
"--additional-config",
'{"enable_weight_nz_layout":true, "dynamic_eplb": true, '
'"num_iterations_eplb_update": 200, "num_wait_worker_iterations": 100, '
'"num_iterations_eplb_update": 1000, "num_wait_worker_iterations": 200, '
'"init_redundancy_expert": 16}'
]
request_keyword_args: dict[str, Any] = {