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Unify GSM8K eval path to Chat API for regression CI readiness (#21667)

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This commit is contained in:
Liangsheng Yin
2026-04-01 17:12:19 -07:00
committed by GitHub
parent 1081a25983
commit d7256eb69a
79 changed files with 1349 additions and 1359 deletions
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test/registered/mla/test_flashmla.py
+19 -19
View File
@@ -11,7 +11,7 @@ import torch
from sglang.srt.utils import kill_process_tree
from sglang.test.ci.ci_register import register_cuda_ci
from sglang.test.few_shot_gsm8k import run_eval as run_eval_few_shot_gsm8k
from sglang.test.run_eval import run_eval
from sglang.test.test_utils import (
DEFAULT_MODEL_NAME_FOR_TEST_MLA,
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
@@ -53,18 +53,18 @@ class TestFlashMLAAttnBackend(unittest.TestCase):
def test_gsm8k(self):
args = SimpleNamespace(
num_shots=5,
data_path=None,
num_questions=200,
max_new_tokens=512,
parallel=128,
host="http://127.0.0.1",
port=int(self.base_url.split(":")[-1]),
base_url=self.base_url,
model=self.model,
eval_name="gsm8k",
api="completion",
max_tokens=512,
num_examples=200,
num_threads=128,
)
metrics = run_eval_few_shot_gsm8k(args)
metrics = run_eval(args)
print(metrics)
self.assertGreater(metrics["accuracy"], 0.60)
self.assertGreater(metrics["score"], 0.60)
class TestFlashMLAMTP(CustomTestCase):
@@ -112,18 +112,18 @@ class TestFlashMLAMTP(CustomTestCase):
requests.get(self.base_url + "/flush_cache")
args = SimpleNamespace(
num_shots=5,
data_path=None,
num_questions=200,
max_new_tokens=512,
parallel=128,
host="http://127.0.0.1",
port=int(self.base_url.split(":")[-1]),
base_url=self.base_url,
model=self.model,
eval_name="gsm8k",
api="completion",
max_tokens=512,
num_examples=200,
num_threads=128,
)
metrics = run_eval_few_shot_gsm8k(args)
metrics = run_eval(args)
print(metrics)
self.assertGreater(metrics["accuracy"], 0.60)
self.assertGreater(metrics["score"], 0.60)
server_info = requests.get(self.base_url + "/server_info").json()
avg_spec_accept_length = server_info["internal_states"][0][
test/registered/mla/test_mla_deepseek_v3.py
+37 -37
View File
@@ -6,7 +6,7 @@ import requests
from sglang.srt.utils import is_cuda, is_hip, kill_process_tree
from sglang.test.ci.ci_register import register_amd_ci, register_cuda_ci
from sglang.test.few_shot_gsm8k import run_eval as run_eval_few_shot_gsm8k
from sglang.test.run_eval import run_eval
from sglang.test.test_utils import (
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
DEFAULT_URL_FOR_TEST,
@@ -45,18 +45,18 @@ class TestMLADeepseekV3(CustomTestCase):
def test_gsm8k(self):
args = SimpleNamespace(
num_shots=5,
data_path=None,
num_questions=200,
max_new_tokens=512,
parallel=128,
host="http://127.0.0.1",
port=int(self.base_url.split(":")[-1]),
base_url=self.base_url,
model=self.model,
eval_name="gsm8k",
api="completion",
max_tokens=512,
num_examples=200,
num_threads=128,
)
metrics = run_eval_few_shot_gsm8k(args)
metrics = run_eval(args)
print(metrics)
self.assertGreater(metrics["accuracy"], 0.62)
self.assertGreater(metrics["score"], 0.62)
@unittest.skipIf(is_in_ci(), "To reduce the CI execution time.")
@@ -82,18 +82,18 @@ class TestMLADeepseekV3DisableFusedFunc(CustomTestCase):
def test_gsm8k(self):
args = SimpleNamespace(
num_shots=5,
data_path=None,
num_questions=200,
max_new_tokens=512,
parallel=128,
host="http://127.0.0.1",
port=int(self.base_url.split(":")[-1]),
base_url=self.base_url,
model=self.model,
eval_name="gsm8k",
api="completion",
max_tokens=512,
num_examples=200,
num_threads=128,
)
metrics = run_eval_few_shot_gsm8k(args)
metrics = run_eval(args)
print(metrics)
self.assertGreater(metrics["accuracy"], 0.62)
self.assertGreater(metrics["score"], 0.62)
@unittest.skipIf(is_hip(), "FA is not available.")
@@ -133,18 +133,18 @@ class TestMLADeepseekV3Fa3Fp8Kvcache(CustomTestCase):
def test_gsm8k(self):
args = SimpleNamespace(
num_shots=5,
data_path=None,
num_questions=200,
max_new_tokens=512,
parallel=128,
host="http://127.0.0.1",
port=int(self.base_url.split(":")[-1]),
base_url=self.base_url,
model=self.model,
eval_name="gsm8k",
api="completion",
max_tokens=512,
num_examples=200,
num_threads=128,
)
metrics = run_eval_few_shot_gsm8k(args)
metrics = run_eval(args)
print(metrics)
self.assertGreater(metrics["accuracy"], 0.60)
self.assertGreater(metrics["score"], 0.60)
class TestDeepseekV3MTP(CustomTestCase):
@@ -186,18 +186,18 @@ class TestDeepseekV3MTP(CustomTestCase):
requests.get(self.base_url + "/flush_cache")
args = SimpleNamespace(
num_shots=5,
data_path=None,
num_questions=200,
max_new_tokens=512,
parallel=128,
host="http://127.0.0.1",
port=int(self.base_url.split(":")[-1]),
base_url=self.base_url,
model=self.model,
eval_name="gsm8k",
api="completion",
max_tokens=512,
num_examples=200,
num_threads=128,
)
metrics = run_eval_few_shot_gsm8k(args)
metrics = run_eval(args)
print(metrics)
self.assertGreater(metrics["accuracy"], 0.60)
self.assertGreater(metrics["score"], 0.60)
server_info = requests.get(self.base_url + "/get_server_info")
avg_spec_accept_length = server_info.json()["internal_states"][0][
test/registered/mla/test_mla_flashinfer.py
+19 -19
View File
@@ -6,7 +6,7 @@ import torch
from sglang.srt.utils import kill_process_tree
from sglang.test.ci.ci_register import register_cuda_ci
from sglang.test.few_shot_gsm8k import run_eval as run_eval_few_shot_gsm8k
from sglang.test.run_eval import run_eval
from sglang.test.test_utils import (
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
DEFAULT_URL_FOR_TEST,
@@ -47,18 +47,18 @@ class TestFlashinferMLA(CustomTestCase):
def test_gsm8k(self):
args = SimpleNamespace(
num_shots=5,
data_path=None,
num_questions=200,
max_new_tokens=512,
parallel=128,
host="http://127.0.0.1",
port=int(self.base_url.split(":")[-1]),
base_url=self.base_url,
model=self.model,
eval_name="gsm8k",
api="completion",
max_tokens=512,
num_examples=200,
num_threads=128,
)
metrics = run_eval_few_shot_gsm8k(args)
metrics = run_eval(args)
print(metrics)
self.assertGreater(metrics["accuracy"], 0.615)
self.assertGreater(metrics["score"], 0.615)
class TestFlashinferMLAMTP(CustomTestCase):
@@ -102,18 +102,18 @@ class TestFlashinferMLAMTP(CustomTestCase):
requests.get(self.base_url + "/flush_cache")
args = SimpleNamespace(
num_shots=5,
data_path=None,
num_questions=200,
max_new_tokens=512,
parallel=128,
host="http://127.0.0.1",
port=int(self.base_url.split(":")[-1]),
base_url=self.base_url,
model=self.model,
eval_name="gsm8k",
api="completion",
max_tokens=512,
num_examples=200,
num_threads=128,
)
metrics = run_eval_few_shot_gsm8k(args)
metrics = run_eval(args)
print(metrics)
self.assertGreater(metrics["accuracy"], 0.60)
self.assertGreater(metrics["score"], 0.60)
server_info = requests.get(self.base_url + "/get_server_info").json()
avg_spec_accept_length = server_info["internal_states"][0][
test/registered/mla/test_mla_int8_deepseek_v3.py
+37 -37
View File
@@ -6,7 +6,7 @@ import torch
from sglang.srt.utils import kill_process_tree
from sglang.test.ci.ci_register import register_cuda_ci
from sglang.test.few_shot_gsm8k import run_eval as run_eval_few_shot_gsm8k
from sglang.test.run_eval import run_eval
from sglang.test.test_utils import (
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
DEFAULT_URL_FOR_TEST,
@@ -48,18 +48,18 @@ class TestMLADeepseekV3ChannelInt8(CustomTestCase):
def test_gsm8k(self):
args = SimpleNamespace(
num_shots=5,
data_path=None,
num_questions=200,
max_new_tokens=512,
parallel=128,
host="http://127.0.0.1",
port=int(self.base_url.split(":")[-1]),
base_url=self.base_url,
model=self.model,
eval_name="gsm8k",
api="completion",
max_tokens=512,
num_examples=200,
num_threads=128,
)
metrics = run_eval_few_shot_gsm8k(args)
metrics = run_eval(args)
print(metrics)
self.assertGreaterEqual(metrics["accuracy"], 0.61)
self.assertGreaterEqual(metrics["score"], 0.61)
@unittest.skipIf(is_in_ci(), "To reduce the CI execution time.")
@@ -104,18 +104,18 @@ class TestDeepseekV3MTPChannelInt8(CustomTestCase):
requests.get(self.base_url + "/flush_cache")
args = SimpleNamespace(
num_shots=5,
data_path=None,
num_questions=200,
max_new_tokens=512,
parallel=128,
host="http://127.0.0.1",
port=int(self.base_url.split(":")[-1]),
base_url=self.base_url,
model=self.model,
eval_name="gsm8k",
api="completion",
max_tokens=512,
num_examples=200,
num_threads=128,
)
metrics = run_eval_few_shot_gsm8k(args)
metrics = run_eval(args)
print(metrics)
self.assertGreater(metrics["accuracy"], 0.60)
self.assertGreater(metrics["score"], 0.60)
server_info = requests.get(self.base_url + "/get_server_info")
avg_spec_accept_length = server_info.json()["internal_states"][0][
@@ -155,18 +155,18 @@ class TestMLADeepseekV3BlockInt8(CustomTestCase):
def test_gsm8k(self):
args = SimpleNamespace(
num_shots=5,
data_path=None,
num_questions=200,
max_new_tokens=512,
parallel=128,
host="http://127.0.0.1",
port=int(self.base_url.split(":")[-1]),
base_url=self.base_url,
model=self.model,
eval_name="gsm8k",
api="completion",
max_tokens=512,
num_examples=200,
num_threads=128,
)
metrics = run_eval_few_shot_gsm8k(args)
metrics = run_eval(args)
print(metrics)
self.assertGreater(metrics["accuracy"], 0.62)
self.assertGreater(metrics["score"], 0.62)
class TestDeepseekV3MTPBlockInt8(CustomTestCase):
@@ -208,18 +208,18 @@ class TestDeepseekV3MTPBlockInt8(CustomTestCase):
requests.get(self.base_url + "/flush_cache")
args = SimpleNamespace(
num_shots=5,
data_path=None,
num_questions=200,
max_new_tokens=512,
parallel=128,
host="http://127.0.0.1",
port=int(self.base_url.split(":")[-1]),
base_url=self.base_url,
model=self.model,
eval_name="gsm8k",
api="completion",
max_tokens=512,
num_examples=200,
num_threads=128,
)
metrics = run_eval_few_shot_gsm8k(args)
metrics = run_eval(args)
print(metrics)
self.assertGreater(metrics["accuracy"], 0.60)
self.assertGreater(metrics["score"], 0.60)
server_info = requests.get(self.base_url + "/get_server_info")
avg_spec_accept_length = server_info.json()["internal_states"][0][