Tiny apply gsm8k mixin to ngram test (#15606)
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@@ -1,13 +1,18 @@
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from types import SimpleNamespace
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from types import SimpleNamespace
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from typing import Optional
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import requests
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from sglang.test.few_shot_gsm8k import run_eval as run_eval_gsm8k
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from sglang.test.few_shot_gsm8k import run_eval as run_eval_gsm8k
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from sglang.test.test_utils import CustomTestCase
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class GSM8KMixin:
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class GSM8KMixin:
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accuracy: float
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gsm8k_accuracy_thres: float
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gsm8k_accept_length_thres: Optional[float] = None
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def test_gsm8k(self):
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requests.get(self.base_url + "/flush_cache")
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def test_gsm8k(self: CustomTestCase):
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args = SimpleNamespace(
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args = SimpleNamespace(
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num_shots=5,
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num_shots=5,
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data_path=None,
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data_path=None,
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@@ -19,4 +24,12 @@ class GSM8KMixin:
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)
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)
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metrics = run_eval_gsm8k(args)
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metrics = run_eval_gsm8k(args)
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print(f"{metrics=}")
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print(f"{metrics=}")
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self.assertGreaterEqual(metrics["accuracy"], self.accuracy)
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self.assertGreaterEqual(metrics["accuracy"], self.gsm8k_accuracy_thres)
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if self.gsm8k_accept_length_thres is not None:
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server_info = requests.get(self.base_url + "/server_info")
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avg_spec_accept_length = server_info.json()["internal_states"][0][
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"avg_spec_accept_length"
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]
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print(f"{avg_spec_accept_length=}")
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self.assertGreater(avg_spec_accept_length, self.gsm8k_accept_length_thres)
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+7
-34
@@ -1,11 +1,9 @@
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import unittest
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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.environ import envs
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from sglang.srt.environ import envs
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from sglang.srt.utils import kill_process_tree
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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.ci.ci_register import register_cuda_ci
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from sglang.test.kits.gsm8k_accuracy_kit import GSM8KMixin
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from sglang.test.test_utils import (
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from sglang.test.test_utils import (
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DEFAULT_NGRAM_SPECULATIVE_TARGET_MODEL_FOR_TEST,
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DEFAULT_NGRAM_SPECULATIVE_TARGET_MODEL_FOR_TEST,
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DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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@@ -14,6 +12,8 @@ from sglang.test.test_utils import (
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popen_launch_server,
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popen_launch_server,
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)
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)
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register_cuda_ci(est_time=117, suite="stage-b-test-small-1-gpu")
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GSM_DATASET_PATH = None
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GSM_DATASET_PATH = None
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@@ -31,12 +31,11 @@ DEFAULT_SERVER_ARGS = [
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]
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]
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class TestNgramSpeculativeDecodingBase(CustomTestCase):
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class TestNgramSpeculativeDecodingBase(GSM8KMixin, CustomTestCase):
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model = DEFAULT_NGRAM_SPECULATIVE_TARGET_MODEL_FOR_TEST
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model = DEFAULT_NGRAM_SPECULATIVE_TARGET_MODEL_FOR_TEST
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base_url = DEFAULT_URL_FOR_TEST
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base_url = DEFAULT_URL_FOR_TEST
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accuracy_threshold = 0.79 # derived tests need to override this
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gsm8k_accuracy_thres = 0.79 # derived tests need to override this
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spec_decode_threshold = 1.8 # derived spec decoding tests need to override this
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gsm8k_accept_length_thres = 1.8 # derived spec decoding tests need to override this
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@classmethod
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@classmethod
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def get_server_args(cls):
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def get_server_args(cls):
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@@ -61,32 +60,6 @@ class TestNgramSpeculativeDecodingBase(CustomTestCase):
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def tearDownClass(cls):
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def tearDownClass(cls):
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kill_process_tree(cls.process.pid)
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kill_process_tree(cls.process.pid)
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def test_gsm8k(self):
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requests.get(self.base_url + "/flush_cache")
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args = SimpleNamespace(
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num_shots=4,
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num_questions=100,
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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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data_path=GSM_DATASET_PATH,
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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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# Use the appropriate metric key based on the test class
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metric_key = "accuracy"
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self.assertGreater(metrics[metric_key], self.accuracy_threshold)
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server_info = requests.get(self.base_url + "/get_server_info")
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avg_spec_accept_length = server_info.json()["internal_states"][0][
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"avg_spec_accept_length"
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]
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print(f"{avg_spec_accept_length=}")
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self.assertGreater(avg_spec_accept_length, self.spec_decode_threshold)
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class TestNgramSpeculativeDecodingTriton(TestNgramSpeculativeDecodingBase):
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class TestNgramSpeculativeDecodingTriton(TestNgramSpeculativeDecodingBase):
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@@ -9,7 +9,7 @@ MODEL = "mistralai/Ministral-3-3B-Instruct-2512"
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class TestMinistral3TextOnly(GSM8KMixin, DefaultServerBase):
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class TestMinistral3TextOnly(GSM8KMixin, DefaultServerBase):
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accuracy = 0.6
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gsm8k_accuracy_thres = 0.6
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model = MODEL
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model = MODEL
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other_args = ["--trust-remote-code"]
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other_args = ["--trust-remote-code"]
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@@ -7,19 +7,19 @@ from sglang.test.server_fixtures.default_fixture import DefaultServerBase
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class TestNvidiaNemotronNanoV2BF16(GSM8KMixin, DefaultServerBase):
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class TestNvidiaNemotronNanoV2BF16(GSM8KMixin, DefaultServerBase):
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model = "nvidia/NVIDIA-Nemotron-Nano-9B-v2"
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model = "nvidia/NVIDIA-Nemotron-Nano-9B-v2"
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accuracy = 0.87
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gsm8k_accuracy_thres = 0.87
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other_args = ["--max-mamba-cache-size", "256"]
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other_args = ["--max-mamba-cache-size", "256"]
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class TestNvidiaNemotronNanoV2FP8(GSM8KMixin, DefaultServerBase):
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class TestNvidiaNemotronNanoV2FP8(GSM8KMixin, DefaultServerBase):
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accuracy = 0.87
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gsm8k_accuracy_thres = 0.87
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model = "nvidia/NVIDIA-Nemotron-Nano-9B-v2-FP8"
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model = "nvidia/NVIDIA-Nemotron-Nano-9B-v2-FP8"
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other_args = ["--max-mamba-cache-size", "256"]
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other_args = ["--max-mamba-cache-size", "256"]
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@unittest.skipIf(not is_blackwell(), "NVFP4 only supported on blackwell")
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@unittest.skipIf(not is_blackwell(), "NVFP4 only supported on blackwell")
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class TestNvidiaNemotronNanoV2NVFP4(GSM8KMixin, DefaultServerBase):
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class TestNvidiaNemotronNanoV2NVFP4(GSM8KMixin, DefaultServerBase):
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accuracy = 0.855
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gsm8k_accuracy_thres = 0.855
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model = "nvidia/NVIDIA-Nemotron-Nano-9B-v2-NVFP4"
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model = "nvidia/NVIDIA-Nemotron-Nano-9B-v2-NVFP4"
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other_args = ["--max-mamba-cache-size", "256"]
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other_args = ["--max-mamba-cache-size", "256"]
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@@ -29,7 +29,7 @@ class TestNvidiaNemotronNanoV2NVFP4(GSM8KMixin, DefaultServerBase):
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"with different hidden sizes (Nemotron-9B: 4480, Llama-3.2-1B: 2048)"
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"with different hidden sizes (Nemotron-9B: 4480, Llama-3.2-1B: 2048)"
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)
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)
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class TestNvidiaNemotronNanoV2SpeculativeDecoding(GSM8KMixin, DefaultServerBase):
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class TestNvidiaNemotronNanoV2SpeculativeDecoding(GSM8KMixin, DefaultServerBase):
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accuracy = 0.87
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gsm8k_accuracy_thres = 0.87
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model = "nvidia/NVIDIA-Nemotron-Nano-9B-v2"
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model = "nvidia/NVIDIA-Nemotron-Nano-9B-v2"
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other_args = [
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other_args = [
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"--speculative-algorithm",
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"--speculative-algorithm",
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@@ -60,7 +60,7 @@ class TestNvidiaNemotronNanoV2SpeculativeDecoding(GSM8KMixin, DefaultServerBase)
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class TestNvidiaNemotronNanoV2SpeculativeDecodingBF16Cache(
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class TestNvidiaNemotronNanoV2SpeculativeDecodingBF16Cache(
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GSM8KMixin, DefaultServerBase
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GSM8KMixin, DefaultServerBase
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):
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):
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accuracy = 0.87
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gsm8k_accuracy_thres = 0.87
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model = "nvidia/NVIDIA-Nemotron-Nano-9B-v2"
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model = "nvidia/NVIDIA-Nemotron-Nano-9B-v2"
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other_args = [
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other_args = [
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"--speculative-algorithm",
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"--speculative-algorithm",
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@@ -9,7 +9,7 @@ MODEL = "nvidia/NVIDIA-Nemotron-Nano-12B-v2-VL-BF16"
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class TestNvidiaNemotronNanoV2VLTextOnly(GSM8KMixin, DefaultServerBase):
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class TestNvidiaNemotronNanoV2VLTextOnly(GSM8KMixin, DefaultServerBase):
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accuracy = 0.87
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gsm8k_accuracy_thres = 0.87
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model = MODEL
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model = MODEL
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other_args = ["--max-mamba-cache-size", "256", "--trust-remote-code"]
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other_args = ["--max-mamba-cache-size", "256", "--trust-remote-code"]
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@@ -79,7 +79,6 @@ suites = {
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TestFile("test_model_hooks.py", 6),
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TestFile("test_model_hooks.py", 6),
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TestFile("test_modelopt_loader.py", 11),
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TestFile("test_modelopt_loader.py", 11),
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TestFile("test_multi_tokenizer.py", 230),
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TestFile("test_multi_tokenizer.py", 230),
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TestFile("test_ngram_speculative_decoding.py", 177),
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TestFile("test_no_chunked_prefill.py", 108),
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TestFile("test_no_chunked_prefill.py", 108),
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TestFile("test_no_overlap_scheduler.py", 217),
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TestFile("test_no_overlap_scheduler.py", 217),
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TestFile("test_original_logprobs.py", 41),
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TestFile("test_original_logprobs.py", 41),
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