33 lines
1.1 KiB
Python
33 lines
1.1 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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import pytest
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from vllm.config import LoadFormat
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from vllm.entrypoints.llm import LLM
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from vllm.sampling_params import SamplingParams
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from ..conftest import MODEL_WEIGHTS_S3_BUCKET
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@pytest.mark.parametrize("model",
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[f"{MODEL_WEIGHTS_S3_BUCKET}/distilbert/distilgpt2"])
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def test_skip_tokenizer_initialization(model: str):
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# This test checks if the flag skip_tokenizer_init skips the initialization
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# of tokenizer and detokenizer. The generated output is expected to contain
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# token ids.
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llm = LLM(model=model,
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skip_tokenizer_init=True,
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load_format=LoadFormat.RUNAI_STREAMER)
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sampling_params = SamplingParams(prompt_logprobs=True, detokenize=True)
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with pytest.raises(ValueError, match="cannot pass text prompts when"):
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llm.generate("abc", sampling_params)
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outputs = llm.generate({"prompt_token_ids": [1, 2, 3]},
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sampling_params=sampling_params)
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assert len(outputs) > 0
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completions = outputs[0].outputs
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assert len(completions) > 0
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assert completions[0].text == ""
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assert completions[0].token_ids
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