Files
sglang/test/registered/dp_attn/test_dp_attention.py
T

244 lines
7.5 KiB
Python

import unittest
import requests
from sglang.srt.environ import envs
from sglang.srt.utils import kill_process_tree
from sglang.test.ci.ci_register import register_amd_ci, register_cuda_ci
from sglang.test.kits.ebnf_constrained_kit import EBNFConstrainedMixin
from sglang.test.kits.eval_accuracy_kit import GSM8KMixin
from sglang.test.kits.json_constrained_kit import JSONConstrainedMixin
from sglang.test.kits.radix_cache_server_kit import run_radix_attention_test
from sglang.test.kits.regex_constrained_kit import RegexConstrainedMixin
from sglang.test.test_utils import (
DEFAULT_IMAGE_URL,
DEFAULT_MLA_MODEL_NAME_FOR_TEST,
DEFAULT_MODEL_NAME_FOR_TEST_MLA,
DEFAULT_TARGET_MODEL_EAGLE_DP_ATTN,
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
DEFAULT_URL_FOR_TEST,
CustomTestCase,
is_in_amd_ci,
popen_launch_server,
)
register_cuda_ci(est_time=443, stage="base-b", runner_config="2-gpu-large")
register_amd_ci(est_time=500, suite="stage-b-test-2-gpu-large-amd")
@unittest.skipIf(is_in_amd_ci(), "This test case cannot run on ROCm.")
class TestDPAttentionDP2TP2(
CustomTestCase,
GSM8KMixin,
JSONConstrainedMixin,
EBNFConstrainedMixin,
RegexConstrainedMixin,
):
gsm8k_accuracy_thres = 0.6
@classmethod
def setUpClass(cls):
cls.model = DEFAULT_MODEL_NAME_FOR_TEST_MLA
cls.base_url = DEFAULT_URL_FOR_TEST
cls._env_override = envs.SGLANG_DISABLE_CONSECUTIVE_PREFILL_OVERLAP.override(
True
)
cls._env_override.__enter__()
cls.process = popen_launch_server(
cls.model,
cls.base_url,
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
other_args=[
"--trust-remote-code",
"--constrained-json-max-whitespace-cnt",
"4",
"--tp",
"2",
"--enable-dp-attention",
"--dp",
"2",
],
)
@classmethod
def tearDownClass(cls):
kill_process_tree(cls.process.pid)
cls._env_override.__exit__(None, None, None)
class TestDPAttentionGatherv(
CustomTestCase,
GSM8KMixin,
):
"""Exercise the variable-length all_gatherv + reduce_scatterv DP-MoE path
(SGLANG_DP_USE_GATHERV=1). The path only activates for the
attn_tp_size == 1, tp_size == dp_size layout, which tp2 + dp2 satisfies.
Without this test the gatherv/reduce_scatterv code is never exercised by CI
(it is gated behind the env var, default off). gsm8k must stay correct since
the change is a pure communication reorg, not a numerics change."""
gsm8k_accuracy_thres = 0.6
@classmethod
def setUpClass(cls):
cls.model = DEFAULT_TARGET_MODEL_EAGLE_DP_ATTN
cls.base_url = DEFAULT_URL_FOR_TEST
cls.process = popen_launch_server(
cls.model,
cls.base_url,
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
env={"SGLANG_DP_USE_GATHERV": "1"},
other_args=[
"--trust-remote-code",
"--tp",
"2",
"--enable-dp-attention",
"--dp",
"2",
"--chunked-prefill-size",
"256",
],
)
@classmethod
def tearDownClass(cls):
kill_process_tree(cls.process.pid)
@unittest.skipIf(is_in_amd_ci(), "This test case cannot run on ROCm.")
class TestDPAttentionMixedChunk(
CustomTestCase,
GSM8KMixin,
):
gsm8k_accuracy_thres = 0.6
@classmethod
def setUpClass(cls):
cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
cls.base_url = DEFAULT_URL_FOR_TEST
cls.process = popen_launch_server(
cls.model,
cls.base_url,
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
other_args=[
"--trust-remote-code",
"--tp",
"2",
"--enable-dp-attention",
"--dp",
"2",
"--enable-mixed-chunk",
"--chunked-prefill-size",
"256",
],
)
@classmethod
def tearDownClass(cls):
kill_process_tree(cls.process.pid)
@unittest.skipIf(is_in_amd_ci(), "This test case cannot run on ROCm.")
class TestDPRetract(
CustomTestCase,
JSONConstrainedMixin,
EBNFConstrainedMixin,
RegexConstrainedMixin,
):
@classmethod
def setUpClass(cls):
cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
cls.base_url = DEFAULT_URL_FOR_TEST
cls.process = popen_launch_server(
cls.model,
cls.base_url,
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
other_args=[
"--trust-remote-code",
"--tp",
"2",
"--enable-dp-attention",
"--dp",
"2",
"--max-total-tokens",
"4500",
"--max-running-requests",
"128",
"--chunked-prefill-size",
"256",
],
)
@classmethod
def tearDownClass(cls):
kill_process_tree(cls.process.pid)
def test_radix_attention(self):
with envs.SGLANG_TEST_RETRACT.override(True):
run_radix_attention_test(self.base_url)
self.assertIsNone(self.process.poll())
@unittest.skipIf(is_in_amd_ci(), "This test case cannot run on ROCm.")
class TestDPAttentionDP2TP2VLM(CustomTestCase):
@classmethod
def setUpClass(cls):
cls.model = "moonshotai/Kimi-VL-A3B-Instruct"
cls.base_url = DEFAULT_URL_FOR_TEST
cls.image_url = DEFAULT_IMAGE_URL
cls.process = popen_launch_server(
cls.model,
cls.base_url,
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
other_args=[
"--trust-remote-code",
"--tp",
"2",
"--enable-dp-attention",
"--dp",
"2",
],
)
@classmethod
def tearDownClass(cls):
kill_process_tree(cls.process.pid)
def test_vlm_generate(self):
# Go through /v1/chat/completions so the server inserts the model's own
# image placeholder instead of the test guessing one.
response = requests.post(
self.base_url + "/v1/chat/completions",
json={
"model": "default",
"messages": [
{
"role": "user",
"content": [
{
"type": "image_url",
"image_url": {"url": self.image_url},
},
{"type": "text", "text": "What is in this image?"},
],
}
],
"temperature": 0,
"max_tokens": 16,
},
)
response.raise_for_status()
response_json = response.json()
print(response_json)
self.assertTrue(response_json["choices"][0]["message"]["content"])
# image_tokens comes from the prefill's multimodal item offsets, so a
# non-zero count is what proves the image reached the vision tower.
usage_details = response_json["usage"].get("prompt_tokens_details")
self.assertIsNotNone(usage_details, "prompt carried no multimodal tokens")
self.assertGreater(usage_details.get("image_tokens", 0), 0)
if __name__ == "__main__":
unittest.main()