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[bugfix] add seed in torchrun_example.py #15980

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Merged
merged 3 commits into from
Apr 3, 2025
Merged

[bugfix] add seed in torchrun_example.py #15980

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add seed
youkaichao Apr 3, 2025
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youkaichao Apr 3, 2025
9369ba5
add assert
youkaichao Apr 3, 2025
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4 changes: 4 additions & 0 deletions examples/offline_inference/torchrun_example.py
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Expand Up @@ -23,10 +23,14 @@

# Use `distributed_executor_backend="external_launcher"` so that
# this llm engine/instance only creates one worker.
# it is important to set an explicit seed to make sure that
# all ranks have the same random seed, so that sampling can be
# deterministic across ranks.
llm = LLM(
model="facebook/opt-125m",
tensor_parallel_size=2,
distributed_executor_backend="external_launcher",
seed=0,
)

outputs = llm.generate(prompts, sampling_params)
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