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