72 lines
2.0 KiB
Python
72 lines
2.0 KiB
Python
# Copyright 2023-2025 SGLang Team
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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import multiprocessing as mp
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import unittest
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from utils import (
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CI_MULTI_LORA_MODELS,
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LoRAAdaptor,
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LoRAModelCase,
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run_lora_multiple_batch_on_model_cases,
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)
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from sglang.test.test_utils import CustomTestCase
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LORA_MODELS_QWEN3 = [
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LoRAModelCase(
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base="Qwen/Qwen3-4B",
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adaptors=[
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LoRAAdaptor(
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name="nissenj/Qwen3-4B-lora-v2",
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prefill_tolerance=3e-1,
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),
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LoRAAdaptor(
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name="y9760210/Qwen3-4B-lora_model",
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prefill_tolerance=3e-1,
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),
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],
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max_loras_per_batch=2,
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),
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]
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class TestLoRASpecDecoding(CustomTestCase):
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def test_qwen(self):
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run_lora_multiple_batch_on_model_cases(
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LORA_MODELS_QWEN3,
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attention_backend="triton",
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use_spec_decoding=True,
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disable_cuda_graph=True,
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enable_deterministic_inference=True,
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)
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def test_llama(self):
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run_lora_multiple_batch_on_model_cases(
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CI_MULTI_LORA_MODELS,
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attention_backend="triton",
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use_spec_decoding=True,
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disable_cuda_graph=True,
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enable_deterministic_inference=True,
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)
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if __name__ == "__main__":
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try:
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mp.set_start_method("spawn")
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except RuntimeError:
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pass
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unittest.main(warnings="ignore")
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