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Unverified Commit 48473684 authored by Lianmin Zheng's avatar Lianmin Zheng Committed by GitHub
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Split test_mla.py into two files (#4216)

parent b3251e9f
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Showing with 116 additions and 102 deletions
.github/workflows/pr-test-amd.yml
View file @ 48473684
...@@ -90,11 +90,11 @@ jobs: ...@@ -90,11 +90,11 @@ jobs:
- name: MLA TEST - name: MLA TEST
timeout-minutes: 20 timeout-minutes: 20
run: | run: |
docker exec -w /sglang-checkout/test/srt ci_sglang python3 test_mla.py TestMLA docker exec -w /sglang-checkout/test/srt ci_sglang python3 test_mla.py
finish: finish:
needs: [ needs: [
accuracy-test-1-gpu-amd accuracy-test-1-gpu-amd, mla-test-1-gpu-amd
] ]
runs-on: ubuntu-latest runs-on: ubuntu-latest
steps: steps:
......
test/srt/run_suite.py
View file @ 48473684
...@@ -24,6 +24,7 @@ suites = { ...@@ -24,6 +24,7 @@ suites = {
"test_gguf.py", "test_gguf.py",
"test_input_embeddings.py", "test_input_embeddings.py",
"test_mla.py", "test_mla.py",
"test_mla_deepseek_v3.py",
"test_mla_flashinfer.py", "test_mla_flashinfer.py",
"test_mla_fp8.py", "test_mla_fp8.py",
"test_json_constrained.py", "test_json_constrained.py",
......
test/srt/test_mla.py
View file @ 48473684
import unittest import unittest
from types import SimpleNamespace from types import SimpleNamespace
import requests
import torch
from sglang.srt.utils import kill_process_tree from sglang.srt.utils import kill_process_tree
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.run_eval import run_eval
from sglang.test.test_utils import ( from sglang.test.test_utils import (
DEFAULT_MLA_MODEL_NAME_FOR_TEST, DEFAULT_MLA_MODEL_NAME_FOR_TEST,
...@@ -56,101 +52,5 @@ class TestMLA(unittest.TestCase): ...@@ -56,101 +52,5 @@ class TestMLA(unittest.TestCase):
self.assertGreater(metrics["score"], 0.8) self.assertGreater(metrics["score"], 0.8)
class TestDeepseekV3(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.model = "lmsys/sglang-ci-dsv3-test"
cls.base_url = DEFAULT_URL_FOR_TEST
other_args = ["--trust-remote-code"]
if torch.cuda.is_available() and torch.version.cuda:
other_args.extend(["--enable-torch-compile", "--cuda-graph-max-bs", "2"])
cls.process = popen_launch_server(
cls.model,
cls.base_url,
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
other_args=other_args,
)
@classmethod
def tearDownClass(cls):
kill_process_tree(cls.process.pid)
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]),
)
metrics = run_eval_few_shot_gsm8k(args)
print(metrics)
self.assertGreater(metrics["accuracy"], 0.62)
class TestDeepseekV3MTP(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.model = "lmsys/sglang-ci-dsv3-test"
cls.base_url = DEFAULT_URL_FOR_TEST
other_args = ["--trust-remote-code"]
if torch.cuda.is_available() and torch.version.cuda:
other_args.extend(
[
"--cuda-graph-max-bs",
"2",
"--disable-radix",
"--enable-torch-compile",
"--torch-compile-max-bs",
"1",
"--speculative-algorithm",
"EAGLE",
"--speculative-draft",
"lmsys/sglang-ci-dsv3-test-NextN",
"--speculative-num-steps",
"2",
"--speculative-eagle-topk",
"4",
"--speculative-num-draft-tokens",
"4",
]
)
cls.process = popen_launch_server(
cls.model,
cls.base_url,
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
other_args=other_args,
)
@classmethod
def tearDownClass(cls):
kill_process_tree(cls.process.pid)
def test_gsm8k(self):
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]),
)
metrics = run_eval_few_shot_gsm8k(args)
print(metrics)
self.assertGreater(metrics["accuracy"], 0.60)
server_info = requests.get(self.base_url + "/get_server_info")
avg_spec_accept_length = server_info.json()["avg_spec_accept_length"]
print(f"{avg_spec_accept_length=}")
self.assertGreater(avg_spec_accept_length, 2.5)
if __name__ == "__main__": if __name__ == "__main__":
unittest.main() unittest.main()
test/srt/test_mla_deepseek_v3.py 0 → 100644
View file @ 48473684
import unittest
from types import SimpleNamespace
import requests
import torch
from sglang.srt.utils import kill_process_tree
from sglang.test.few_shot_gsm8k import run_eval as run_eval_few_shot_gsm8k
from sglang.test.test_utils import (
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
DEFAULT_URL_FOR_TEST,
popen_launch_server,
)
class TestDeepseekV3(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.model = "lmsys/sglang-ci-dsv3-test"
cls.base_url = DEFAULT_URL_FOR_TEST
other_args = ["--trust-remote-code"]
if torch.cuda.is_available() and torch.version.cuda:
other_args.extend(["--enable-torch-compile", "--cuda-graph-max-bs", "2"])
cls.process = popen_launch_server(
cls.model,
cls.base_url,
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
other_args=other_args,
)
@classmethod
def tearDownClass(cls):
kill_process_tree(cls.process.pid)
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]),
)
metrics = run_eval_few_shot_gsm8k(args)
print(metrics)
self.assertGreater(metrics["accuracy"], 0.62)
class TestDeepseekV3MTP(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.model = "lmsys/sglang-ci-dsv3-test"
cls.base_url = DEFAULT_URL_FOR_TEST
other_args = ["--trust-remote-code"]
if torch.cuda.is_available() and torch.version.cuda:
other_args.extend(
[
"--cuda-graph-max-bs",
"2",
"--disable-radix",
"--enable-torch-compile",
"--torch-compile-max-bs",
"1",
"--speculative-algorithm",
"EAGLE",
"--speculative-draft",
"lmsys/sglang-ci-dsv3-test-NextN",
"--speculative-num-steps",
"2",
"--speculative-eagle-topk",
"4",
"--speculative-num-draft-tokens",
"4",
]
)
cls.process = popen_launch_server(
cls.model,
cls.base_url,
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
other_args=other_args,
)
@classmethod
def tearDownClass(cls):
kill_process_tree(cls.process.pid)
def test_gsm8k(self):
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]),
)
metrics = run_eval_few_shot_gsm8k(args)
print(metrics)
self.assertGreater(metrics["accuracy"], 0.60)
server_info = requests.get(self.base_url + "/get_server_info")
avg_spec_accept_length = server_info.json()["avg_spec_accept_length"]
print(f"{avg_spec_accept_length=}")
self.assertGreater(avg_spec_accept_length, 2.5)
if __name__ == "__main__":
unittest.main()
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