70 lines
2.9 KiB
Python
70 lines
2.9 KiB
Python
from typing import List
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import vllm
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from vllm.lora.request import LoRARequest
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MODEL_PATH = "microsoft/phi-2"
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PROMPT_TEMPLATE = "### Instruct: {sql_prompt}\n\n### Context: {context}\n\n### Output:" # noqa: E501
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def do_sample(llm: vllm.LLM, lora_path: str, lora_id: int) -> List[str]:
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prompts = [
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PROMPT_TEMPLATE.format(
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sql_prompt=
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"Which catalog publisher has published the most catalogs?",
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context="CREATE TABLE catalogs (catalog_publisher VARCHAR);"),
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PROMPT_TEMPLATE.format(
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sql_prompt=
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"Which trip started from the station with the largest dock count? Give me the trip id.", # noqa: E501
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context=
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"CREATE TABLE trip (id VARCHAR, start_station_id VARCHAR); CREATE TABLE station (id VARCHAR, dock_count VARCHAR);" # noqa: E501
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),
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PROMPT_TEMPLATE.format(
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sql_prompt=
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"How many marine species are found in the Southern Ocean?", # noqa: E501
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context=
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"CREATE TABLE marine_species (name VARCHAR(50), common_name VARCHAR(50), location VARCHAR(50));" # noqa: E501
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),
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]
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sampling_params = vllm.SamplingParams(temperature=0,
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max_tokens=64,
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stop="### End")
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outputs = llm.generate(
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prompts,
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sampling_params,
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lora_request=LoRARequest(str(lora_id), lora_id, lora_path)
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if lora_id else None,
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)
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# Print the outputs.
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generated_texts: List[str] = []
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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.strip()
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generated_texts.append(generated_text)
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print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")
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return generated_texts
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def test_phi2_lora(phi2_lora_files):
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# We enable enforce_eager=True here to reduce VRAM usage for lora-test CI,
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# Otherwise, the lora-test will fail due to CUDA OOM.
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llm = vllm.LLM(MODEL_PATH,
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max_model_len=1024,
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enable_lora=True,
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max_loras=2,
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enforce_eager=True)
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expected_lora_output = [
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"SELECT catalog_publisher, COUNT(*) as num_catalogs FROM catalogs GROUP BY catalog_publisher ORDER BY num_catalogs DESC LIMIT 1;", # noqa: E501
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"SELECT trip.id FROM trip JOIN station ON trip.start_station_id = station.id WHERE station.dock_count = (SELECT MAX(dock_count) FROM station);", # noqa: E501
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"SELECT COUNT(*) FROM marine_species WHERE location = 'Southern Ocean';", # noqa: E501
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]
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output1 = do_sample(llm, phi2_lora_files, lora_id=1)
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for i in range(len(expected_lora_output)):
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assert output1[i].startswith(expected_lora_output[i])
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output2 = do_sample(llm, phi2_lora_files, lora_id=2)
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for i in range(len(expected_lora_output)):
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assert output2[i].startswith(expected_lora_output[i])
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