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[EPLB][CI]EPLB add aclgraph and redundant expert ci #5625

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Merged
yiz-liu merged 1 commit into from
Jan 8, 2026
Merged

[EPLB][CI]EPLB add aclgraph and redundant expert ci #5625

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10 changes: 6 additions & 4 deletions tests/e2e/multicard/2-cards/test_qwen3_moe.py
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Original file line number Diff line number Diff line change
Expand Up @@ -79,10 +79,11 @@ def test_qwen3_moe_distributed_aiv_tp2():
async def test_qwen3_moe_w8a8_distributed_tp2_ep_dynamic_eplb():
model = "vllm-ascend/Qwen3-30B-A3B-W8A8"
port = get_open_port()
compilation_config = json.dumps({"cudagraph_capture_sizes": [8]})
server_args = [
"--max_model_len", "8192", "--tensor_parallel_size", "2",
"--enable_expert_parallel", "--quantization", "ascend", "--port",
str(port), "--enforce_eager"
str(port), "--compilation-config", compilation_config
]
env_dict = {"HCCL_BUFFSIZE": "1024"}
with RemoteOpenAIServer(model,
Expand All @@ -93,7 +94,7 @@ async def test_qwen3_moe_w8a8_distributed_tp2_ep_dynamic_eplb():
client = server.get_async_client()
batch = await client.completions.create(model=model,
prompt="What is deeplearning?",
max_tokens=300,
max_tokens=400,
temperature=0,
top_p=1.0,
n=1)
Expand All @@ -106,7 +107,8 @@ async def test_qwen3_moe_w8a8_distributed_tp2_ep_dynamic_eplb():
additional_config = {
"dynamic_eplb": True,
"num_iterations_eplb_update": 100,
"num_wait_worker_iterations": 20
"num_wait_worker_iterations": 20,
"num_redundant_experts": 2
}
server_args.extend(["--additional-config", json.dumps(additional_config)])
with RemoteOpenAIServer(model,
Expand All @@ -117,7 +119,7 @@ async def test_qwen3_moe_w8a8_distributed_tp2_ep_dynamic_eplb():
client = server.get_async_client()
batch = await client.completions.create(model=model,
prompt="What is deeplearning?",
max_tokens=300,
max_tokens=400,
temperature=0,
top_p=1.0,
n=1)
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