94 lines
3.1 KiB
Python
94 lines
3.1 KiB
Python
import typing
|
|
import unittest
|
|
|
|
import torch
|
|
|
|
from sglang.srt.sampling.penaltylib.penalizers.presence_penalty import (
|
|
BatchedPresencePenalizer,
|
|
)
|
|
from sglang.test.srt.sampling.penaltylib.utils import (
|
|
BaseBatchedPenalizerTest,
|
|
MockSamplingParams,
|
|
Step,
|
|
StepType,
|
|
Subject,
|
|
)
|
|
|
|
|
|
class BaseBatchedPresencePenalizerTest(BaseBatchedPenalizerTest):
|
|
Penalizer = BatchedPresencePenalizer
|
|
presence_penalty: float
|
|
|
|
def setUp(self):
|
|
if self.__class__ == BaseBatchedPresencePenalizerTest:
|
|
self.skipTest("Base class for presence_penalty tests")
|
|
|
|
super().setUp()
|
|
|
|
def _create_subject(self, presence_penalty: float) -> Subject:
|
|
return Subject(
|
|
sampling_params=MockSamplingParams(
|
|
presence_penalty=presence_penalty,
|
|
),
|
|
steps=[
|
|
Step(
|
|
type=StepType.INPUT,
|
|
token_ids=[0, 1, 2],
|
|
expected_tensors={
|
|
"presence_penalties": self.tensor(
|
|
[[presence_penalty] * self.vocab_size], dtype=torch.float32
|
|
),
|
|
"cumulated_presence_penalties": self.tensor(
|
|
[[0.0] * self.vocab_size], dtype=torch.float32
|
|
),
|
|
},
|
|
expected_logits=self.tensor(
|
|
[[1] * self.vocab_size], dtype=torch.float32
|
|
),
|
|
),
|
|
Step(
|
|
type=StepType.OUTPUT,
|
|
token_ids=[1, 2, 2],
|
|
expected_tensors={
|
|
"presence_penalties": self.tensor(
|
|
[[presence_penalty] * self.vocab_size], dtype=torch.float32
|
|
),
|
|
"cumulated_presence_penalties": self.tensor(
|
|
[
|
|
[
|
|
presence_penalty if i in {1, 2} else 0.0
|
|
for i in range(self.vocab_size)
|
|
],
|
|
],
|
|
dtype=torch.float32,
|
|
),
|
|
},
|
|
expected_logits=self.tensor(
|
|
[
|
|
[
|
|
1.0 - presence_penalty if i in {1, 2} else 1.0
|
|
for i in range(self.vocab_size)
|
|
],
|
|
],
|
|
dtype=torch.float32,
|
|
),
|
|
),
|
|
],
|
|
)
|
|
|
|
def create_test_subjects(self) -> typing.List[Subject]:
|
|
self.enabled = self._create_subject(presence_penalty=self.presence_penalty)
|
|
self.disabled = self._create_subject(presence_penalty=0.0)
|
|
|
|
|
|
class TestBatchedPresencePenalizerPositiveValue(BaseBatchedPresencePenalizerTest):
|
|
presence_penalty = 0.12
|
|
|
|
|
|
class TestBatchedPresencePenalizerNegativeValue(BaseBatchedPresencePenalizerTest):
|
|
presence_penalty = -0.12
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|