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12c007e288
Signed-off-by: Rémi Delacourt <remi@mistral.ai> Signed-off-by: Rémi Delacourt <54138269+Flechman@users.noreply.github.com> Signed-off-by: remi <remi@mistral.ai>
78 lines
2.4 KiB
Python
78 lines
2.4 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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import asyncio
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import os
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from contextlib import AsyncExitStack
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from dataclasses import replace
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import pytest
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from vllm import SamplingParams
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from vllm.engine.arg_utils import AsyncEngineArgs
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from vllm.sampling_params import RequestOutputKind
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from vllm.v1.engine.async_llm import AsyncLLM
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DP_SIZE = int(os.getenv("DP_SIZE", 2))
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@pytest.mark.asyncio
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async def test_run_eagle_dp():
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target_model = "meta-llama/Llama-3.1-8B-Instruct"
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draft_model = "yuhuili/EAGLE-LLaMA3.1-Instruct-8B"
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engine_args = AsyncEngineArgs(
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model=target_model,
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tokenizer_mode="auto",
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enforce_eager=False,
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tensor_parallel_size=int(os.getenv("TP_SIZE", 1)),
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data_parallel_size=DP_SIZE,
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data_parallel_backend="mp", # ray takes more time
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trust_remote_code=True,
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max_model_len=16384,
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)
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eagle_engine_args = replace(
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engine_args,
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speculative_config={
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"model": draft_model,
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"method": "eagle",
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"num_speculative_tokens": 3,
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},
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)
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prompt = "This is a test of data parallel with eagle"
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num_expected_tokens = 100
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sampling_params = SamplingParams(
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min_tokens=num_expected_tokens,
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max_tokens=num_expected_tokens,
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ignore_eos=True,
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output_kind=RequestOutputKind.FINAL_ONLY,
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temperature=0,
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)
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async def generate_with_timeout(given_engine: AsyncLLM):
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async for out in given_engine.generate(
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request_id="test-eagle-dp", prompt=prompt, sampling_params=sampling_params
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):
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token_ids = out.outputs[0].token_ids
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assert len(token_ids) == num_expected_tokens
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return token_ids
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async def engine_create_and_generate(engine_args: AsyncEngineArgs):
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async with AsyncExitStack() as after:
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engine = AsyncLLM.from_engine_args(engine_args)
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after.callback(engine.shutdown)
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token_ids = await asyncio.wait_for(
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generate_with_timeout(engine), timeout=30
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)
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assert not engine.output_processor.has_unfinished_requests()
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return token_ids
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token_ids_with_eagle = await engine_create_and_generate(eagle_engine_args)
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token_ids_no_eagle = await engine_create_and_generate(engine_args)
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# Test for correctness
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assert token_ids_with_eagle == token_ids_no_eagle
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