[Fix] Seed raw tokenizer_path for smg-grpc-servicer in gRPC mode (#39105)
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
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co-authored by
Claude Fable 5
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56a4f47ca6
commit
981b947568
@@ -12,6 +12,8 @@ on:
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# floor) from here, via ci_install_dependency.sh's
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# `pip install -e python[...]` — a bump there must re-run this workflow.
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- "python/pyproject.toml"
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# The SMG gRPC entrypoint; only this workflow exercises it.
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- "python/sglang/srt/entrypoints/grpc_server.py"
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pull_request:
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branches: [ main ]
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types: [opened, synchronize, reopened, labeled]
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@@ -24,6 +26,8 @@ on:
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# floor) from here, via ci_install_dependency.sh's
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# `pip install -e python[...]` — a bump there must re-run this workflow.
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- "python/pyproject.toml"
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# The SMG gRPC entrypoint; only this workflow exercises it.
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- "python/sglang/srt/entrypoints/grpc_server.py"
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workflow_dispatch:
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concurrency:
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@@ -16,6 +16,14 @@ suppress_noisy_warnings()
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def run_server(server_args):
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"""Run the server based on the gRPC flags and server_args.encoder_only."""
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# smg-grpc-servicer reads the raw `server_args.tokenizer_path`, which
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# resolution defaults into the stash but never writes back. Seed it here,
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# before resolve_once() seals the record.
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if (
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server_args.smg_grpc_mode or server_args.grpc_mode
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) and server_args.tokenizer_path is None:
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server_args.tokenizer_path = server_args.model_path
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# The flags dispatched on below are decided by resolution (`--grpc-mode`
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# folds into `smg_grpc_mode`), and `prepare_server_args` returns raw input.
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server_args.resolve_once()
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@@ -252,7 +252,11 @@ class TestEmbeddingCorrectness:
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and HuggingFace implementations within tolerance.
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"""
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backend, model_path, client, gateway = setup_backend
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tolerance = 0.05
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# Scores are cosine * 100, fp16 GPU kernels vs a CPU
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# sentence-transformers reference: allow 2.5e-3 cosine of
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# cross-implementation drift (~2x the level observed from kernel
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# changes); a wrong pooling or missing normalization is >1e-2.
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tolerance = 0.25
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# Format query with instruction (for e5-mistral)
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query = f"Instruct: Given a search query, retrieve relevant passages that answer the query\nQuery: {RELEVANCE_TEST_DATA['sample_query']}"
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@@ -276,5 +280,9 @@ class TestEmbeddingCorrectness:
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assert np.allclose(scores_gateway, scores_hf, atol=tolerance), (
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f"Scores differ beyond tolerance:\nGateway: {scores_gateway}\nHF: {scores_hf}"
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)
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# The looser tolerance must not let a reshuffled ranking through.
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assert (np.argsort(scores_gateway) == np.argsort(scores_hf)).all(), (
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f"Relevance ranking differs:\nGateway: {scores_gateway}\nHF: {scores_hf}"
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)
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logger.info("Relevance scores comparison passed")
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