Add vLLM v0.18.1 source tree with KV transfer abort fix
third_party/vllm/ now tracked in git for direct patch management.
Based on vLLM v0.18.1 release with one patch applied:
vllm/v1/core/sched/scheduler.py:
Replace fatal assert with graceful skip when KV transfer callback
arrives for an already-aborted request during PD disaggregated serving.
Future vLLM modifications should be made directly in third_party/vllm/
and committed normally. The patches/ directory is kept as documentation
of what changed from upstream.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
50
third_party/vllm/examples/basic/offline_inference/embed.py
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third_party/vllm/examples/basic/offline_inference/embed.py
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# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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from argparse import Namespace
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from vllm import LLM, EngineArgs
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from vllm.utils.argparse_utils import FlexibleArgumentParser
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from vllm.utils.print_utils import print_embeddings
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def parse_args():
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parser = FlexibleArgumentParser()
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parser = EngineArgs.add_cli_args(parser)
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# Set example specific arguments
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parser.set_defaults(
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model="intfloat/e5-small",
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runner="pooling",
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enforce_eager=True,
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)
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return parser.parse_args()
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def main(args: Namespace):
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# Sample prompts.
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prompts = [
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"Hello, my name is",
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"The president of the United States is",
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"The capital of France is",
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"The future of AI is",
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]
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# Create an LLM.
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# You should pass runner="pooling" for embedding models
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llm = LLM(**vars(args))
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# Generate embedding. The output is a list of EmbeddingRequestOutputs.
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outputs = llm.embed(prompts)
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# Print the outputs.
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print("\nGenerated Outputs:\n" + "-" * 60)
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for prompt, output in zip(prompts, outputs):
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embeds = output.outputs.embedding
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print(f"Prompt: {prompt!r}")
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print_embeddings(embeds)
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print("-" * 60)
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if __name__ == "__main__":
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args = parse_args()
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main(args)
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