fix: populate batch req rids and per-request http_worker_ipc for mult… (#29882)
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@@ -86,6 +86,9 @@ class BaseBatchReq(msgspec.Struct, tag=True, kw_only=True, array_like=True):
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"""Base for batched IPC payloads."""
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rids: Optional[List[str]] = None
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# Used by batch messages whose items are parallel arrays, such as scheduler
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# outputs. Tokenized input batches store routing on batch[i].http_worker_ipc
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# because the scheduler unpacks them into single-request handlers.
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http_worker_ipcs: Optional[List[Optional[str]]] = None
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@classmethod
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@@ -881,6 +884,7 @@ class TokenizedGenerateReqInput(BaseReq, kw_only=True):
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class BatchTokenizedGenerateReqInput(BaseBatchReq, kw_only=True):
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# The batch of tokenized requests
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# Routing for request i is batch[i].http_worker_ipc, not http_worker_ipcs[i].
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batch: List[TokenizedGenerateReqInput]
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def __len__(self):
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@@ -1166,6 +1170,7 @@ class TokenizedEmbeddingReqInput(BaseReq, kw_only=True):
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class BatchTokenizedEmbeddingReqInput(BaseBatchReq, kw_only=True):
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# The batch of tokenized embedding requests
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# Routing for request i is batch[i].http_worker_ipc, not http_worker_ipcs[i].
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batch: List[TokenizedEmbeddingReqInput]
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def __len__(self):
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@@ -3153,5 +3153,10 @@ class SignalHandler:
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def stamp_http_worker_ipc(obj: Any, ipc_name: str) -> None:
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if isinstance(obj, BaseReq):
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obj.http_worker_ipc = ipc_name
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elif isinstance(
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obj, (BatchTokenizedGenerateReqInput, BatchTokenizedEmbeddingReqInput)
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):
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for req in obj:
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req.http_worker_ipc = ipc_name
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elif isinstance(obj, BaseBatchReq):
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obj.http_worker_ipcs = [ipc_name] * len(obj.rids)
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@@ -1,5 +1,7 @@
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import unittest
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import requests
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from sglang.srt.utils import kill_process_tree
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from sglang.test.ci.ci_register import register_amd_ci, register_cuda_ci
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from sglang.test.kits.eval_accuracy_kit import MMLUMixin
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@@ -17,8 +19,8 @@ from sglang.test.test_utils import (
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write_github_step_summary,
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)
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register_cuda_ci(est_time=211, stage="base-b", runner_config="1-gpu-large")
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register_amd_ci(est_time=345, suite="stage-b-test-1-gpu-small-amd")
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register_cuda_ci(est_time=220, stage="base-b", runner_config="1-gpu-large")
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register_amd_ci(est_time=355, suite="stage-b-test-1-gpu-small-amd")
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class TestMultiTokenizer(CustomTestCase, MMLUMixin):
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@@ -75,6 +77,40 @@ class TestMultiTokenizer(CustomTestCase, MMLUMixin):
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self.assertLess(res["median_ttft_ms"], 130 if is_in_amd_ci() else 86)
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self.assertLess(res["median_itl_ms"], 10)
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def test_batch_input_ids_routing(self):
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# Regression guard for sgl-project/sglang#29878 (introduced by #29214).
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#
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# A batch of pre-tokenized `input_ids` (no text / multimodal) is the one
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# case that takes the batch-tokenization path (_send_batch_request ->
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# BatchTokenizedGenerateReqInput). In multi-tokenizer mode this batch
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# must stamp each sub-request's `http_worker_ipc` so the scheduler can
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# route every reply back to its owning tokenizer worker. If it is missing,
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# the requests hang forever.
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#
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# The existing ttft test only sends *text*, so it never exercises this
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# path — this case does, and uses a short timeout so a routing hang
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# fails fast instead of stalling until the server launch timeout.
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batch_input_ids = [
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[1, 2, 3, 4, 5],
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[10, 11, 12, 13, 14],
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[20, 21, 22, 23, 24],
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[30, 31, 32, 33, 34],
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]
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response = requests.post(
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self.base_url + "/generate",
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json={
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"input_ids": batch_input_ids,
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"sampling_params": {"max_new_tokens": 8, "temperature": 0},
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},
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timeout=60,
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)
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self.assertEqual(response.status_code, 200, response.text)
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results = response.json()
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# Every batched request must get its reply routed back — not hang.
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self.assertEqual(len(results), len(batch_input_ids))
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for result in results:
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self.assertIn("text", result)
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if __name__ == "__main__":
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unittest.main()
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