3f3c201243
Co-authored-by: kkHuang-amd <wunhuang@amd.com> Co-authored-by: YC Tseng <yctseng@amd.com>
68 lines
2.0 KiB
Python
68 lines
2.0 KiB
Python
import argparse
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import random
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import sys
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import tempfile
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import unittest
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from types import SimpleNamespace
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from sglang.srt.utils import is_hip
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from sglang.test.ci.ci_register import register_amd_ci, register_cuda_ci
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from sglang.test.kits.mmmu_vlm_kit import (
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DEFAULT_MEM_FRACTION_STATIC,
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MMMUMultiModelTestBase,
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)
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from sglang.test.test_utils import is_in_ci
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# VLM (Vision Language Model) tests
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register_cuda_ci(est_time=228, suite="stage-b-test-large-1-gpu")
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register_amd_ci(est_time=850, suite="stage-b-test-small-1-gpu-amd")
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_is_hip = is_hip()
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# VLM models for testing
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if _is_hip:
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MODELS = [SimpleNamespace(model="openbmb/MiniCPM-V-2_6", mmmu_accuracy=0.4)]
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else:
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MODELS = [
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SimpleNamespace(model="google/gemma-3-4b-it", mmmu_accuracy=0.38),
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SimpleNamespace(model="Qwen/Qwen2.5-VL-3B-Instruct", mmmu_accuracy=0.4),
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SimpleNamespace(model="openbmb/MiniCPM-V-2_6", mmmu_accuracy=0.4),
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]
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class TestVLMModels(MMMUMultiModelTestBase):
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def test_vlm_mmmu_benchmark(self):
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"""Test VLM models against MMMU benchmark."""
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models_to_test = MODELS
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if is_in_ci():
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models_to_test = [random.choice(MODELS)]
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for model in models_to_test:
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# Use a unique temporary directory for each model to avoid cached results
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with tempfile.TemporaryDirectory(
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prefix=f"test_vlm_mmmu_{model.model.replace('/', '_')}_"
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) as temp_dir:
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self._run_vlm_mmmu_test(model, temp_dir)
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if __name__ == "__main__":
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# Define and parse arguments here, before unittest.main
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parser = argparse.ArgumentParser(description="Test VLM models")
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parser.add_argument(
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"--mem-fraction-static",
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type=float,
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help="Static memory fraction for the model",
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default=DEFAULT_MEM_FRACTION_STATIC,
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)
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# Parse args intended for unittest
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args = parser.parse_args()
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# Store the parsed args object on the class
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TestVLMModels.parsed_args = args
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# Pass args to unittest
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unittest.main(argv=[sys.argv[0]])
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