Download sglang/test/registered/sampling/test_pytorch_sampling_backend.py from FasterDFlash/Hanrui: direct link, hf CLI and curl.
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curl -L -o test_pytorch_sampling_backend.py https://huggingface.co/FasterDFlash/Hanrui/resolve/main/sglang/test/registered/sampling/test_pytorch_sampling_backend.py
2.72 kB
| import unittest | |
| from types import SimpleNamespace | |
| import requests | |
| from sglang.srt.utils import kill_process_tree | |
| from sglang.test.ci.ci_register import register_amd_ci, register_cuda_ci | |
| from sglang.test.run_eval import run_eval | |
| from sglang.test.test_utils import ( | |
| DEFAULT_MODEL_NAME_FOR_TEST, | |
| DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH, | |
| DEFAULT_URL_FOR_TEST, | |
| CustomTestCase, | |
| popen_launch_server, | |
| ) | |
| register_cuda_ci(est_time=66, suite="stage-b-test-small-1-gpu") | |
| register_amd_ci(est_time=66, suite="stage-b-test-small-1-gpu-amd") | |
| class TestPyTorchSamplingBackend(CustomTestCase): | |
| def setUpClass(cls): | |
| cls.model = DEFAULT_MODEL_NAME_FOR_TEST | |
| cls.base_url = DEFAULT_URL_FOR_TEST | |
| cls.process = popen_launch_server( | |
| cls.model, | |
| cls.base_url, | |
| timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH, | |
| other_args=["--sampling-backend", "pytorch", "--disable-radix-cache"], | |
| ) | |
| def tearDownClass(cls): | |
| kill_process_tree(cls.process.pid) | |
| def test_mmlu(self): | |
| args = SimpleNamespace( | |
| base_url=self.base_url, | |
| model=self.model, | |
| eval_name="mmlu", | |
| num_examples=64, | |
| num_threads=32, | |
| temperature=0.1, | |
| ) | |
| metrics = run_eval(args) | |
| self.assertGreaterEqual(metrics["score"], 0.65) | |
| def test_greedy(self): | |
| first_text = None | |
| # ensure the answer is identical across single response | |
| for _ in range(5): | |
| response_single = requests.post( | |
| self.base_url + "/generate", | |
| json={ | |
| "text": "The capital of Germany is", | |
| "sampling_params": { | |
| "temperature": 0, | |
| "max_new_tokens": 32, | |
| }, | |
| }, | |
| ).json() | |
| text = response_single["text"] | |
| if first_text is None: | |
| first_text = text | |
| self.assertEqual(text, first_text) | |
| first_text = None | |
| response_batch = requests.post( | |
| self.base_url + "/generate", | |
| json={ | |
| "text": ["The capital of Germany is"] * 10, | |
| "sampling_params": { | |
| "temperature": 0, | |
| "max_new_tokens": 32, | |
| }, | |
| }, | |
| ).json() | |
| # ensure the answer is identical among the batch | |
| for i in range(10): | |
| text = response_batch[i]["text"] | |
| if first_text is None: | |
| first_text = text | |
| self.assertEqual(text, first_text) | |
| if __name__ == "__main__": | |
| unittest.main() | |