[Misc][V0 Deprecation] Add __main__ guard to all offline examples (#1837)
### What this PR does / why we need it?
Add `__main__` guard to all offline examples.
- vLLM version: v0.9.2
- vLLM main:
76b494444f
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Signed-off-by: shen-shanshan <467638484@qq.com>
This commit is contained in:
@@ -17,28 +17,37 @@
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# Adapted from vllm-project/vllm/examples/offline_inference/basic.py
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#
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import os
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from vllm import LLM, SamplingParams
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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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os.environ["VLLM_USE_MODELSCOPE"] = "True"
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os.environ["VLLM_WORKER_MULTIPROC_METHOD"] = "spawn"
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# Create a sampling params object.
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sampling_params = SamplingParams(max_tokens=100, temperature=0.0)
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# Create an LLM.
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llm = LLM(
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model="Qwen/Qwen2.5-0.5B-Instruct",
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tensor_parallel_size=2,
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distributed_executor_backend="mp",
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trust_remote_code=True,
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)
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def main():
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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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# Generate texts from the prompts.
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outputs = llm.generate(prompts, sampling_params)
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for output in outputs:
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prompt = output.prompt
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generated_text = output.outputs[0].text
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print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")
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# Create a sampling params object.
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sampling_params = SamplingParams(max_tokens=100, temperature=0.0)
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# Create an LLM.
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llm = LLM(
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model="Qwen/Qwen2.5-0.5B-Instruct",
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tensor_parallel_size=2,
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distributed_executor_backend="mp",
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trust_remote_code=True,
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)
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# Generate texts from the prompts.
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outputs = llm.generate(prompts, sampling_params)
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for output in outputs:
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prompt = output.prompt
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generated_text = output.outputs[0].text
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print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")
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if __name__ == "__main__":
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main()
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