131 lines
4.0 KiB
Python
131 lines
4.0 KiB
Python
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.ci.ci_register import register_cuda_ci
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from sglang.test.few_shot_gsm8k import run_eval
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from sglang.test.kl_test_utils import (
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test_input_output_logprobs_match_decode_cache_hit_helper,
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test_input_output_logprobs_match_prefill_cache_hit_helper,
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)
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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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register_cuda_ci(est_time=350, suite="stage-c-test-4-gpu-h100")
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QWEN3_NEXT_MODEL = "Qwen/Qwen3-Next-80B-A3B-Instruct"
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ACC_THRESHOLDS = {
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QWEN3_NEXT_MODEL: {"kl_div": 0.0025, "gsm8k": 0.93},
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}
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def send_request_helper(base_url: str, text: str):
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response = requests.post(
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base_url + "/generate",
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json={
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"text": text,
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"sampling_params": {
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"max_new_tokens": 1,
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},
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},
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)
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return response.json()
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class TestQwen3Next(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = QWEN3_NEXT_MODEL
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cls.base_url = DEFAULT_URL_FOR_TEST
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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=[
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"--tp-size",
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"4",
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"--chunked-prefill-size",
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"2048",
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"--mamba-scheduler-strategy",
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"extra_buffer",
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"--mamba-track-interval",
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"128",
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],
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)
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@classmethod
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def tearDownClass(cls):
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kill_process_tree(cls.process.pid)
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def test_gsm8k(self):
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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(f"{metrics=}")
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self.assertGreaterEqual(
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metrics["accuracy"], ACC_THRESHOLDS[self.model]["gsm8k"]
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)
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def test_input_output_logprobs_match_prefill_cache_hit(self):
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test_input_output_logprobs_match_prefill_cache_hit_helper(
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self.base_url,
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ACC_THRESHOLDS,
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self.model,
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max_samples=32,
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max_new_tokens=512,
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)
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def test_input_output_logprobs_match_decode_cache_hit(self):
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test_input_output_logprobs_match_decode_cache_hit_helper(
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self.base_url,
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ACC_THRESHOLDS,
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self.model,
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max_samples=32,
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max_new_tokens=512,
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)
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def test_prefix_cache_branching(self):
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print("running test_prefix_cache_branching")
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requests.get(self.base_url + "/flush_cache")
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branching_pos = 257
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text_prefix = "hi" * branching_pos
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suffix_list = ["this" * 256, "here" * 256, "that" * 256]
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cache_hit_list = [False, False, True]
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# First request only prefill the entire sequence
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# Second request won't have cache hit, but will cache the branching point
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# Third request will have cache hit on the branching point
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for i, (suffix, cache_hit) in enumerate(
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zip(suffix_list, cache_hit_list, strict=True)
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):
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result = send_request_helper(self.base_url, text_prefix + suffix)
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cached_tokens = result["meta_info"]["cached_tokens"]
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if cache_hit:
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expected_cached_tokens = branching_pos // 64 * 64
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assert (
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cached_tokens == expected_cached_tokens
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), f"{i=}, {cache_hit=}, {cached_tokens=} is not equal to {expected_cached_tokens=}, {branching_pos=}"
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else:
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assert (
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cached_tokens == 0
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), f"{i=}, {cache_hit=}, {cached_tokens=} is not 0"
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print("test_prefix_cache_branching passed")
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if __name__ == "__main__":
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unittest.main()
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