### What this PR does / why we need it?
1. Accuracy testing no longer compares eager and graph modes; instead,
it directly extracts the golden result under the graph mode
configuration (the implicit purpose of this case is to verify whether
modifications affect existing results)
2. Next step: finer-grained supervision of logits/sampler results
### Does this PR introduce _any_ user-facing change?
### How was this patch tested?
- vLLM version: release/v0.13.0
- vLLM main:
254f6b9867
Signed-off-by: wangli <wangli858794774@gmail.com>
77 lines
3.1 KiB
Python
77 lines
3.1 KiB
Python
from dataclasses import dataclass, field
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from typing import Optional
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from vllm import SamplingParams
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from tests.e2e.conftest import VllmRunner
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from tests.e2e.model_utils import check_outputs_equal
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PROMPTS_SHORT = [
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"Hello, my name is", "The president of the United States is",
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"The capital of France is", "The future of AI is"
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]
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# NOTE: Randomly fill the prompt with the requested amount for
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# the specified capture shape to prevent accuracy issues caused by padding
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PROMPTS_LONG = [
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('Solve the following math problem step by step.'
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'The last line of your response should be of the form Answer: '
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'$Answer (without quotes) where $Answer is the answer to the problem.\n\n'
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'In triangle $ABC$, $\\sin \\angle A = \\frac{4}{5}$ and $\\angle A < 90^\\circ$. Let $D$'
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'be a point outside triangle $ABC$ such that $\\angle BAD = \\angle DAC$,'
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'$\\angle BDC = 90^\\circ$. Suppose $AD = 1$ and $\\frac{BD}{CD} = \\frac{3}{2}$.'
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'If $AB + AC$ can be expressed in the form $\\frac{a\\sqrt{b}}{c}$,'
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'where $a, b, c$ are pairwise relatively prime integers, find $a + b + c$.'
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),
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('Solve the following math problem step by step.'
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'The last line of your response should be of the form Answer: '
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'$Answer (without quotes) where $Answer is the answer to the problem.\n\n'
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'Let $ABCD$ be a unit square in the plane. Points $X$ and $Y$ are chosen'
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'independently and uniformly at random on the perimeter of $ABCD$.'
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'If the expected value of the area of triangle $\\triangle AXY$'
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'can be expressed as $\\frac{m}{n}$, for relatively prime positive'
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'integers $m$ and $n$, compute $m+n$.'),
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('Solve the following math problem step by step.'
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'The last line of your response should be of the form Answer: '
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'$Answer (without quotes) where $Answer is the answer to the problem.\n\n'
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'Let $a, b, c$ be distinct numbers such that the equations $x^2 + ax + 1 = 0$'
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'and $x^2 + bx + c = 0$ have a common real root, and the equations $x^2 + x + a = 0$'
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'and $x^2 + cx + b = 0$ also have a common real root.'
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'Compute the sum $a + b + c$.')
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]
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@dataclass(frozen=True)
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class LLMTestCase:
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model: str
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prompts: list[str]
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golden_answers: list[str]
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quantization: Optional[str] = None
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sampling_params: SamplingParams = field(
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default_factory=lambda: SamplingParams(
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max_tokens=32,
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temperature=0.0,
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top_p=1.0,
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top_k=0,
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n=1,
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))
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def gen_and_valid(runner_kwargs: dict, prompts: list[str],
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sampling_params: SamplingParams, golden_answers: list[str]):
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with VllmRunner(**runner_kwargs) as runner:
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vllm_aclgraph_outputs = runner.model.generate(
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prompts=prompts, sampling_params=sampling_params)
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outputs_gen = []
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for output in vllm_aclgraph_outputs:
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outputs_gen.append(([output.outputs[0].index], output.outputs[0].text))
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output_origin = [([0], answer) for answer in golden_answers]
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check_outputs_equal(
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outputs_0_lst=output_origin,
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outputs_1_lst=outputs_gen,
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name_0="output_origin",
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name_1="outputs_gen",
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)
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