Co-authored-by: yuchuan <yuchuan.7streams@gmail.com> Co-authored-by: Xinyuan Tong <115166877+JustinTong0323@users.noreply.github.com> Co-authored-by: Xinyuan Tong <xinyuantong.cs@gmail.com>
244 lines
7.5 KiB
Python
244 lines
7.5 KiB
Python
import unittest
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import requests
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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.test.ci.ci_register import register_amd_ci, register_cuda_ci
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from sglang.test.kits.ebnf_constrained_kit import EBNFConstrainedMixin
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from sglang.test.kits.eval_accuracy_kit import GSM8KMixin
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from sglang.test.kits.json_constrained_kit import JSONConstrainedMixin
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from sglang.test.kits.radix_cache_server_kit import run_radix_attention_test
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from sglang.test.kits.regex_constrained_kit import RegexConstrainedMixin
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from sglang.test.test_utils import (
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DEFAULT_IMAGE_URL,
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DEFAULT_MLA_MODEL_NAME_FOR_TEST,
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DEFAULT_MODEL_NAME_FOR_TEST_MLA,
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DEFAULT_TARGET_MODEL_EAGLE_DP_ATTN,
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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_amd_ci,
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popen_launch_server,
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)
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register_cuda_ci(est_time=443, stage="base-b", runner_config="2-gpu-large")
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register_amd_ci(est_time=500, suite="stage-b-test-2-gpu-large-amd")
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@unittest.skipIf(is_in_amd_ci(), "This test case cannot run on ROCm.")
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class TestDPAttentionDP2TP2(
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CustomTestCase,
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GSM8KMixin,
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JSONConstrainedMixin,
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EBNFConstrainedMixin,
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RegexConstrainedMixin,
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):
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gsm8k_accuracy_thres = 0.6
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@classmethod
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def setUpClass(cls):
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cls.model = DEFAULT_MODEL_NAME_FOR_TEST_MLA
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cls.base_url = DEFAULT_URL_FOR_TEST
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cls._env_override = envs.SGLANG_DISABLE_CONSECUTIVE_PREFILL_OVERLAP.override(
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True
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)
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cls._env_override.__enter__()
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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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"--constrained-json-max-whitespace-cnt",
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"4",
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"--tp",
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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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cls._env_override.__exit__(None, None, None)
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class TestDPAttentionGatherv(
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CustomTestCase,
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GSM8KMixin,
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):
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"""Exercise the variable-length all_gatherv + reduce_scatterv DP-MoE path
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(SGLANG_DP_USE_GATHERV=1). The path only activates for the
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attn_tp_size == 1, tp_size == dp_size layout, which tp2 + dp2 satisfies.
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Without this test the gatherv/reduce_scatterv code is never exercised by CI
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(it is gated behind the env var, default off). gsm8k must stay correct since
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the change is a pure communication reorg, not a numerics change."""
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gsm8k_accuracy_thres = 0.6
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@classmethod
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def setUpClass(cls):
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cls.model = DEFAULT_TARGET_MODEL_EAGLE_DP_ATTN
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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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env={"SGLANG_DP_USE_GATHERV": "1"},
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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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"--enable-dp-attention",
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"--dp",
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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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@unittest.skipIf(is_in_amd_ci(), "This test case cannot run on ROCm.")
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class TestDPAttentionMixedChunk(
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CustomTestCase,
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GSM8KMixin,
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):
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gsm8k_accuracy_thres = 0.6
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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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"--enable-dp-attention",
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"--dp",
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"2",
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"--enable-mixed-chunk",
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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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@unittest.skipIf(is_in_amd_ci(), "This test case cannot run on ROCm.")
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class TestDPRetract(
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CustomTestCase,
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JSONConstrainedMixin,
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EBNFConstrainedMixin,
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RegexConstrainedMixin,
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):
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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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"--enable-dp-attention",
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"--dp",
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"2",
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"--max-total-tokens",
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"4500",
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"--max-running-requests",
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"128",
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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_radix_attention(self):
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with envs.SGLANG_TEST_RETRACT.override(True):
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run_radix_attention_test(self.base_url)
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self.assertIsNone(self.process.poll())
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@unittest.skipIf(is_in_amd_ci(), "This test case cannot run on ROCm.")
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class TestDPAttentionDP2TP2VLM(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = "moonshotai/Kimi-VL-A3B-Instruct"
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cls.base_url = DEFAULT_URL_FOR_TEST
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cls.image_url = DEFAULT_IMAGE_URL
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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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"--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_vlm_generate(self):
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# Go through /v1/chat/completions so the server inserts the model's own
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# image placeholder instead of the test guessing one.
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response = requests.post(
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self.base_url + "/v1/chat/completions",
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json={
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"model": "default",
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"messages": [
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{
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"role": "user",
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"content": [
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{
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"type": "image_url",
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"image_url": {"url": self.image_url},
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},
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{"type": "text", "text": "What is in this image?"},
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],
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}
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],
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"temperature": 0,
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"max_tokens": 16,
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},
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)
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response.raise_for_status()
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response_json = response.json()
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print(response_json)
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self.assertTrue(response_json["choices"][0]["message"]["content"])
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# image_tokens comes from the prefill's multimodal item offsets, so a
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# non-zero count is what proves the image reached the vision tower.
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usage_details = response_json["usage"].get("prompt_tokens_details")
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self.assertIsNotNone(usage_details, "prompt carried no multimodal tokens")
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self.assertGreater(usage_details.get("image_tokens", 0), 0)
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if __name__ == "__main__":
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unittest.main()
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