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83 lines
3.6 KiB
Python
83 lines
3.6 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 numpy as np
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from vllm.config import ModelConfig, SpeculativeConfig, VllmConfig
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from vllm.v1.spec_decode.ngram_proposer import (NgramProposer,
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_find_subarray_kmp,
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_kmp_lps_array)
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def test_kmp_lps_array():
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np.testing.assert_array_equal(_kmp_lps_array(np.array([])), np.array([]))
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np.testing.assert_array_equal(_kmp_lps_array(np.array([1])), np.array([0]))
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np.testing.assert_array_equal(_kmp_lps_array(np.array([1, 1, 1])),
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np.array([0, 1, 2]))
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np.testing.assert_array_equal(_kmp_lps_array(np.array([1, 2, 3, 4])),
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np.array([0, 0, 0, 0]))
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np.testing.assert_array_equal(_kmp_lps_array(np.array([1, 2, 1, 2, 3])),
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np.array([0, 0, 1, 2, 0]))
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def test_find_subarray_kmp():
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X = np.array([1, 2, 3, 4, 1, 2, 3, 5, 6])
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assert _find_subarray_kmp(X, 2, 2) is None
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X = np.array([1, 2, 3, 4, 1, 2, 3])
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np.testing.assert_array_equal(_find_subarray_kmp(X, 2, 3),
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np.array([4, 1, 2]))
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np.testing.assert_array_equal(_find_subarray_kmp(X, 2, 2), np.array([4,
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1]))
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np.testing.assert_array_equal(_find_subarray_kmp(X, 1, 3),
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np.array([4, 1, 2]))
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np.testing.assert_array_equal(_find_subarray_kmp(X, 1, 2), np.array([4,
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1]))
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X = np.array([1, 3, 6, 2, 3, 4, 1, 2, 3])
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np.testing.assert_array_equal(_find_subarray_kmp(X, 2, 3),
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np.array([4, 1, 2]))
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# Return on the first match
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np.testing.assert_array_equal(_find_subarray_kmp(X, 1, 3),
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np.array([6, 2, 3]))
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def test_ngram_proposer():
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def ngram_proposer(min_n: int, max_n: int, k: int) -> NgramProposer:
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# Dummy model config. Just to set max_model_len.
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model_config = ModelConfig(model="facebook/opt-125m")
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return NgramProposer(
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vllm_config=VllmConfig(model_config=model_config,
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speculative_config=SpeculativeConfig(
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prompt_lookup_min=min_n,
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prompt_lookup_max=max_n,
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num_speculative_tokens=k,
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method="ngram",
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)))
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# No match.
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result = ngram_proposer(
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2, 2, 2).propose(context_token_ids=np.array([1, 2, 3, 4, 5]))
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assert result is None
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# No match for 4-gram.
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result = ngram_proposer(
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4, 4, 2).propose(context_token_ids=np.array([1, 2, 3, 4, 1, 2, 3]))
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assert result is None
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# No match for 4-gram but match for 3-gram.
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result = ngram_proposer(
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3, 4, 2).propose(context_token_ids=np.array([1, 2, 3, 4, 1, 2, 3]))
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assert np.array_equal(result, np.array([4, 1]))
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# Match for both 4-gram and 3-gram.
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# In this case, the proposer should return the 4-gram match.
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result = ngram_proposer(3, 4, 2).propose(
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context_token_ids=np.array([2, 3, 4, 5, 1, 2, 3, 4, 1, 2, 3, 4]))
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assert np.array_equal(result, np.array([1, 2])) # Not [5, 1]
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# Match for 2-gram and 3-gram, but not 4-gram.
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result = ngram_proposer(
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2, 4,
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2).propose(context_token_ids=np.array([3, 4, 5, 2, 3, 4, 1, 2, 3, 4]))
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assert np.array_equal(result, np.array([1, 2])) # Not [5, 2]
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