323 lines
9.7 KiB
Python
323 lines
9.7 KiB
Python
"""
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Usage:
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python3 -m unittest test_pp_single_node.TestPPAccuracy.test_gsm8k
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python3 -m unittest test_pp_single_node.TestQwenPPAccuracy.test_pp_consistency
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python3 -m unittest test_pp_single_node.TestFixedBugs.test_chunked_prefill_with_small_bs
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"""
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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.bench_one_batch_server import BenchArgs as OneBatchBenchArgs
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from sglang.srt.server_args import ServerArgs
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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 as run_eval_few_shot_gsm8k
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from sglang.test.run_eval import run_eval
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from sglang.test.test_utils import (
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DEFAULT_MLA_MODEL_NAME_FOR_TEST,
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DEFAULT_MODEL_NAME_FOR_TEST,
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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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is_in_ci,
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popen_launch_server,
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run_bench_one_batch_server,
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)
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class TestPPAccuracy(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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cls.base_url = "http://127.0.0.1:23333"
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cls.process = popen_launch_server(
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DEFAULT_MODEL_NAME_FOR_TEST,
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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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2,
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"--pp-size",
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2,
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"--chunked-prefill-size",
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256,
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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_few_shot_gsm8k(args)
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print(f"{metrics=}")
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self.assertGreater(metrics["accuracy"], 0.74)
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# Wait a little bit so that the memory check happens.
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time.sleep(4)
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def test_logprob(self):
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response = requests.post(
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f"{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": 16,
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},
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"return_logprob": True,
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"top_logprobs_num": 5,
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"logprob_start_len": 0,
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},
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)
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response_json = response.json()
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input_token_logprobs = response_json["meta_info"]["input_token_logprobs"]
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output_token_logprobs = response_json["meta_info"]["output_token_logprobs"]
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output_top_logprobs = response_json["meta_info"]["output_top_logprobs"]
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assert len(input_token_logprobs) == 6
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assert len(output_token_logprobs) == 16
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assert len(output_top_logprobs) == 16
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class TestDPAttentionDP2PP2(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
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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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"--trust-remote-code",
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"--tp",
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"2",
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"--pp-size",
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"2",
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"--enable-dp-attention",
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"--dp",
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"2",
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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_mgsm_en(self):
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args = SimpleNamespace(
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base_url=self.base_url,
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model=self.model,
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eval_name="mgsm_en",
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num_examples=None,
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num_threads=1024,
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)
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metrics = run_eval(args)
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print(f"{metrics=}")
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self.assertGreater(metrics["score"], 0.8)
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class TestQwenPPAccuracy(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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cls.base_url = "http://127.0.0.1:23334" # different ports to avoid conflicts
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cls.model_name = "Qwen/Qwen3-8B" # replace with your Qwen Model if needed
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def run_gsm8k_test(self, pp_size):
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process = popen_launch_server(
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self.model_name,
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self.base_url,
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timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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other_args=[
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"--pp-size",
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pp_size,
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"--chunked-prefill-size",
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256,
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],
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)
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try:
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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_few_shot_gsm8k(args)
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time.sleep(5)
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return metrics
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finally:
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kill_process_tree(process.pid)
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@unittest.skipIf(is_in_ci(), "To reduce the CI execution time.")
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def test_pp_consistency(self):
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baseline = self.run_gsm8k_test(pp_size=1)
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pp_metrics = self.run_gsm8k_test(pp_size=2)
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print(f"[Qwen PP Comparison] Baseline: {baseline} | PP: {pp_metrics}")
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self.assertGreaterEqual(baseline["accuracy"], 0.74)
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self.assertGreaterEqual(
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pp_metrics["accuracy"],
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baseline["accuracy"] - 0.02,
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msg=(
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f"PP accuracy dropped more than 1% compared to baseline. "
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f"Baseline: {baseline['accuracy']:.2%}, PP: {pp_metrics['accuracy']:.2%}"
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),
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)
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class TestQwenPPTieWeightsAccuracy(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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cls.base_url = "http://127.0.0.1:23335" # different ports to avoid conflicts
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cls.model_name = (
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"Qwen/Qwen3-0.6B" # qwen3 < 8B all have tie_word_embeddings = True
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)
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def run_gsm8k_test(self, pp_size):
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process = popen_launch_server(
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self.model_name,
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self.base_url,
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timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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other_args=[
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"--pp-size",
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pp_size,
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"--chunked-prefill-size",
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256,
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],
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)
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try:
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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_few_shot_gsm8k(args)
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time.sleep(5)
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return metrics
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finally:
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kill_process_tree(process.pid)
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def test_pp_consistency(self):
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baseline = self.run_gsm8k_test(pp_size=1)
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pp_metrics = self.run_gsm8k_test(pp_size=2)
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print(f"[Qwen PP Comparison] Baseline: {baseline} | PP: {pp_metrics}")
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self.assertGreaterEqual(baseline["accuracy"], 0.38)
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self.assertGreaterEqual(
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pp_metrics["accuracy"],
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baseline["accuracy"] - 0.02,
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msg=(
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f"PP accuracy dropped more than 1% compared to baseline. "
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f"Baseline: {baseline['accuracy']:.2%}, PP: {pp_metrics['accuracy']:.2%}"
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),
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)
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class TestQwenMoePPAccuracy(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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cls.base_url = "http://127.0.0.1:23336" # different ports to avoid conflicts
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cls.model_name = "Qwen/Qwen3-30B-A3B" # replace with your Qwen Model if needed
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def run_gsm8k_test(self, pp_size):
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process = popen_launch_server(
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self.model_name,
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self.base_url,
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timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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other_args=[
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"--pp-size",
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pp_size,
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"--chunked-prefill-size",
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256,
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],
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)
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try:
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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_few_shot_gsm8k(args)
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time.sleep(5)
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return metrics
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finally:
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kill_process_tree(process.pid)
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def test_pp_consistency(self):
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baseline = self.run_gsm8k_test(pp_size=1)
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pp_metrics = self.run_gsm8k_test(pp_size=2)
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print(f"[Qwen PP Comparison] Baseline: {baseline} | PP: {pp_metrics}")
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self.assertGreaterEqual(baseline["accuracy"], 0.74)
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self.assertGreaterEqual(
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pp_metrics["accuracy"],
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baseline["accuracy"] - 0.02,
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msg=(
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f"PP accuracy dropped more than 1% compared to baseline. "
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f"Baseline: {baseline['accuracy']:.2%}, PP: {pp_metrics['accuracy']:.2%}"
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),
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)
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class TestFixedBugs(unittest.TestCase):
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def test_chunked_prefill_with_small_bs(self):
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model = DEFAULT_MODEL_NAME_FOR_TEST
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server_args = ServerArgs(model_path=model)
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bench_args = OneBatchBenchArgs(
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batch_size=(1,),
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input_len=(1,),
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output_len=(1,),
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base_url=DEFAULT_URL_FOR_TEST,
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)
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other_server_args = [
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"--tp-size",
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2,
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"--pp-size",
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2,
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"--chunked-prefill",
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256,
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"--max-running-requests",
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2,
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]
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run_bench_one_batch_server(
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model,
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DEFAULT_URL_FOR_TEST,
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server_args,
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bench_args,
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other_server_args,
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)
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if __name__ == "__main__":
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unittest.main()
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