Eagle3 DP attention for Qwen3 MoE (#12002)
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@@ -158,6 +158,7 @@ suites = {
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TestFile("test_load_weights_from_remote_instance.py", 72),
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TestFile("test_patch_torch.py", 19),
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TestFile("test_release_memory_occupation.py", 257),
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TestFile("test_eagle_dp_attention.py", 200),
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],
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"per-commit-4-gpu": [
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TestFile("models/test_qwen3_next_models.py", 291),
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@@ -0,0 +1,129 @@
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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.test.few_shot_gsm8k import run_eval as run_eval_few_shot_gsm8k
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from sglang.test.send_one import BenchArgs, send_one_prompt
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from sglang.test.test_utils import (
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DEFAULT_EAGLE_DP_ATTENTION_DRAFT_MODEL_FOR_TEST,
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DEFAULT_EAGLE_DP_ATTENTION_TARGET_MODEL_FOR_TEST,
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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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is_in_ci,
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kill_process_tree,
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popen_launch_server,
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write_github_step_summary,
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)
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class TestEAGLE3EngineDPAttention(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = DEFAULT_EAGLE_DP_ATTENTION_TARGET_MODEL_FOR_TEST
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cls.base_url = DEFAULT_URL_FOR_TEST
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other_args = [
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"--trust-remote-code",
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"--speculative-algorithm",
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"EAGLE3",
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"--speculative-num-steps",
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"6",
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"--speculative-eagle-topk",
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"10",
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"--speculative-num-draft-tokens",
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"32",
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"--speculative-draft-model-path",
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DEFAULT_EAGLE_DP_ATTENTION_DRAFT_MODEL_FOR_TEST,
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"--tp-size",
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"2",
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"--dp-size",
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"2",
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"--enable-dp-attention",
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"--enable-dp-lm-head",
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"--moe-dense-tp-size",
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"1",
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"--attention-backend",
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"fa3",
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"--mem-fraction-static",
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"0.75",
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"--cuda-graph-max-bs",
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"64",
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]
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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=other_args,
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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_a_gsm8k(self):
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"""Test GSM8K evaluation - append 'a' to run first alphabetically"""
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requests.get(self.base_url + "/flush_cache")
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args = SimpleNamespace(
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num_shots=5,
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data_path=None,
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num_questions=200,
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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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)
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metrics = run_eval_few_shot_gsm8k(args)
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print(f"{metrics=}")
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server_info = requests.get(self.base_url + "/get_server_info")
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server_data = server_info.json()
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# Try to get avg_spec_accept_length
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avg_spec_accept_length = None
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if "internal_states" in server_data and len(server_data["internal_states"]) > 0:
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internal_state = server_data["internal_states"][0]
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if "avg_spec_accept_length" in internal_state:
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avg_spec_accept_length = internal_state["avg_spec_accept_length"]
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elif "spec_accept_length" in internal_state:
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avg_spec_accept_length = internal_state["spec_accept_length"]
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print(f"{avg_spec_accept_length=}")
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if is_in_ci():
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write_github_step_summary(
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f"### test_gsm8k (EAGLE3 DP Attention)\n"
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f'{metrics["accuracy"]=:.3f}\n'
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f"{avg_spec_accept_length=:.2f}\n"
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)
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self.assertGreater(metrics["accuracy"], 0.91)
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if avg_spec_accept_length is not None:
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self.assertGreater(avg_spec_accept_length, 2.5)
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def test_bs_1_speed(self):
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"""Test batch size 1 speed with EAGLE3 DP Attention"""
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args = BenchArgs(port=int(self.base_url.split(":")[-1]), max_new_tokens=2048)
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acc_length, speed = send_one_prompt(args)
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print(f"{acc_length=:.2f} {speed=:.2f}")
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if is_in_ci():
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write_github_step_summary(
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f"### test_bs_1_speed (EAGLE3 DP Attention)\n"
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f"{acc_length=:.2f}\n"
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f"{speed=:.2f} token/s\n"
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)
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if is_in_amd_ci():
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self.assertGreater(acc_length, 2.0)
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else:
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self.assertGreater(acc_length, 2.3)
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if is_in_amd_ci():
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self.assertGreater(speed, 10)
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else:
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self.assertGreater(speed, 40)
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if __name__ == "__main__":
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unittest.main()
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