112 lines
3.0 KiB
Python
112 lines
3.0 KiB
Python
import time
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import unittest
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from types import SimpleNamespace
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import requests
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from sglang.srt.utils import kill_process_tree
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from sglang.test.few_shot_gsm8k import run_eval
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from sglang.test.test_utils import (
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DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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DEFAULT_URL_FOR_TEST,
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CustomTestCase,
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popen_launch_server,
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)
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class BaseW8A8Test(CustomTestCase):
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model: str = None
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quantization: str = None
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gsm8k_accuracy_threshold: float = None
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throughput_threshold: float = None
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@classmethod
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def setUpClass(cls):
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if cls is BaseW8A8Test:
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raise unittest.SkipTest("Skip base test class")
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cls.base_url = DEFAULT_URL_FOR_TEST
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other_args = []
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if cls.quantization:
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other_args.extend(["--quantization", cls.quantization])
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cls.process = popen_launch_server(
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cls.model,
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cls.base_url,
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timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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other_args=other_args,
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)
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@classmethod
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def tearDownClass(cls):
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if cls is BaseW8A8Test:
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return
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kill_process_tree(cls.process.pid)
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def test_gsm8k(self):
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if self.gsm8k_accuracy_threshold is None:
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self.skipTest("gsm8k_accuracy_threshold not set for this test")
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args = SimpleNamespace(
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num_shots=5,
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data_path=None,
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num_questions=200,
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max_new_tokens=512,
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parallel=128,
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host="http://127.0.0.1",
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port=int(self.base_url.split(":")[-1]),
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)
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metrics = run_eval(args)
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print(metrics)
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self.assertGreater(metrics["accuracy"], self.gsm8k_accuracy_threshold)
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def run_decode(self, max_new_tokens):
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response = requests.post(
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self.base_url + "/generate",
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json={
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"text": "The capital of France is",
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"sampling_params": {
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"temperature": 0,
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"max_new_tokens": max_new_tokens,
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},
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"ignore_eos": True,
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},
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)
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return response.json()
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def test_throughput(self):
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max_tokens = 256
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tic = time.perf_counter()
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res = self.run_decode(max_tokens)
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tok = time.perf_counter()
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print(res["text"])
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throughput = max_tokens / (tok - tic)
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print(f"Throughput: {throughput} tokens/s")
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self.assertGreaterEqual(throughput, self.throughput_threshold)
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class TestW8A8Int8(BaseW8A8Test):
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model = "neuralmagic/Meta-Llama-3-8B-Instruct-quantized.w8a8"
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quantization = "w8a8_int8"
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gsm8k_accuracy_threshold = 0.69
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throughput_threshold = 200
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class TestW8A8Fp8(BaseW8A8Test):
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model = "neuralmagic/Meta-Llama-3.1-8B-Instruct-FP8-dynamic"
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quantization = "w8a8_fp8"
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gsm8k_accuracy_threshold = 0.69
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throughput_threshold = 200
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class TestW8A8Fp8MoE(BaseW8A8Test):
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model = "RedHatAI/Qwen3-30B-A3B-FP8-dynamic"
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quantization = "w8a8_fp8"
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gsm8k_accuracy_threshold = 0.88
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throughput_threshold = 180
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if __name__ == "__main__":
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unittest.main()
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