88 lines
3.2 KiB
Python
88 lines
3.2 KiB
Python
import unittest
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from typing import List
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import torch
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from sglang.srt.sampling.penaltylib.penalizers.repetition_penalty import (
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BatchedRepetitionPenalizer,
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)
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from sglang.test.srt.sampling.penaltylib.utils import (
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BaseBatchedPenalizerTest,
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MockSamplingParams,
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Step,
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StepType,
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Subject,
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)
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REPETITION_PENALTY = 2.0
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class TestBatchedRepetitionPenalizer(BaseBatchedPenalizerTest):
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Penalizer = BatchedRepetitionPenalizer
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def _create_subject(self, repetition_penalty: float) -> Subject:
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l = 1.0 / repetition_penalty
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return Subject(
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sampling_params=MockSamplingParams(
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repetition_penalty=repetition_penalty,
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),
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steps=[
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Step(
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type=StepType.INPUT,
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token_ids=[0, 1, 2],
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expected_tensors={
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"repetition_penalties": self.tensor(
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[[repetition_penalty] * self.vocab_size],
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dtype=torch.float32,
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),
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"cumulated_repetition_penalties": (
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self.tensor(
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[[2.0, 2.0, 2.0, 1.0, 1.0]], dtype=torch.float32
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)
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if repetition_penalty != 1.0
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else self.tensor(
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[[1.0] * self.vocab_size], dtype=torch.float32
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)
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),
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},
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expected_logits=(
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self.tensor([[l, l, l, 1.0, 1.0]], dtype=torch.float32)
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if repetition_penalty != 1.0
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else self.tensor([[1.0] * self.vocab_size], dtype=torch.float32)
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),
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),
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Step(
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type=StepType.OUTPUT,
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token_ids=[0, 1, 3],
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expected_tensors={
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"repetition_penalties": self.tensor(
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[[repetition_penalty] * self.vocab_size],
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dtype=torch.float32,
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),
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"cumulated_repetition_penalties": (
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self.tensor(
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[[2.0, 2.0, 2.0, 2.0, 1.0]], dtype=torch.float32
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)
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if repetition_penalty != 1.0
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else self.tensor(
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[[1.0] * self.vocab_size], dtype=torch.float32
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)
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),
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},
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expected_logits=(
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self.tensor([[l, l, l, l, 1.0]], dtype=torch.float32)
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if repetition_penalty != 1.0
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else self.tensor([[1.0] * self.vocab_size], dtype=torch.float32)
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),
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),
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],
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)
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def create_test_subjects(self) -> List[Subject]:
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self.enabled = self._create_subject(repetition_penalty=REPETITION_PENALTY)
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self.disabled = self._create_subject(repetition_penalty=1.0)
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if __name__ == "__main__":
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unittest.main()
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