Co-authored-by: cy <chenyang08056032@163.com> Co-authored-by: Cherry_ming <136634645@qq.com>
35 lines
1.0 KiB
Python
35 lines
1.0 KiB
Python
import unittest
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from sglang.test.ascend.gsm8k_ascend_mixin import GSM8KAscendMixin
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from sglang.test.ascend.test_ascend_utils import EXAONE_3_5_7_8B_INSTRUCT_WEIGHTS_PATH
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from sglang.test.ci.ci_register import register_npu_ci
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from sglang.test.test_utils import CustomTestCase
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register_npu_ci(est_time=400, suite="nightly-1-npu-a3", nightly=False)
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class TestEXAONE(GSM8KAscendMixin, CustomTestCase):
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"""Testcase: Verify that the inference accuracy of the LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct model on the GSM8K dataset is no less than 0.8.
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[Test Category] Model
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[Test Target] LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct
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"""
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model = EXAONE_3_5_7_8B_INSTRUCT_WEIGHTS_PATH
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# Allow 1% tolerance for the accuracy threshold
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accuracy = round(0.8 * 0.99, 3)
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other_args = [
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"--trust-remote-code",
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"--mem-fraction-static",
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"0.8",
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"--attention-backend",
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"ascend",
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"--disable-cuda-graph",
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"--dtype",
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"bfloat16",
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]
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if __name__ == "__main__":
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unittest.main()
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