[Feat][SP] Suport SP for VL MoE models (#7044)
### What this PR does / why we need it?
2nd PR for https://github.com/vllm-project/vllm-ascend/issues/5712,
extend SP to VL MoE models.
### Does this PR introduce _any_ user-facing change?
remove `sp_threshold` in additional config and reuse `sp_min_token_num`
from vLLM.
### How was this patch tested?
- Model: Qwen3-VL-30B-A3B,
- TP4 DP2
- 100 reqs
- max concurrency 1
| Seq length | Mean TTFT (ms) main | Mean TTFT (ms) this PR |
|------------|---------------------|------------------------|
| 4k | 429.40 | 323.3 |
| 16k | 1297.01 | 911.74 |
- vLLM version: v0.16.0
- vLLM main:
4034c3d32e
---------
Signed-off-by: realliujiaxu <realliujiaxu@163.com>
This commit is contained in:
@@ -100,6 +100,11 @@ class TestBackend:
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"""Helper to find all FX nodes that call a specific operator."""
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return [node for node in graph.graph.nodes if hasattr(node, "target") and node.target == target]
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def op_count(self, op: OpOverload, before: bool = False) -> int:
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"""Return the number of nodes that call the given operator."""
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graph = self.graph_pre_pass if before else self.graph_post_pass
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return len(self.find_nodes_by_target(graph, op))
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def check_before_ops(self, ops: Sequence[OpOverload], fully_replaced: bool = True):
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"""
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Verify that the original (unfused) operators exist before the pass
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