split test_dsa_models_mtp into 4 files (#25318)
This commit is contained in:
@@ -36,6 +36,7 @@ class GSM8KMixin:
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gsm8k_accept_length_thres: Optional[float] = None
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gsm8k_num_questions: int = 200
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gsm8k_num_threads: int = 128
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gsm8k_num_shots: int = 5
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def test_gsm8k(self):
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assert (
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@@ -52,6 +53,7 @@ class GSM8KMixin:
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max_tokens=512,
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num_examples=self.gsm8k_num_questions,
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num_threads=self.gsm8k_num_threads,
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num_shots=self.gsm8k_num_shots,
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)
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metrics = run_eval(args)
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print(f"{metrics=}")
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@@ -1,3 +1,5 @@
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import requests
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from sglang.test.send_one import BenchArgs, send_one_prompt
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from sglang.test.test_utils import is_in_ci, write_github_step_summary
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@@ -5,12 +7,18 @@ from sglang.test.test_utils import is_in_ci, write_github_step_summary
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class SpecDecodingMixin:
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bs_1_speed_thres: float
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accept_length_thres: float
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bs_1_speed_attempts: int = 3
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def test_bs_1_speed(self):
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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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acc_length, speed = 0.0, 0.0
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for attempt in range(1, self.bs_1_speed_attempts + 1):
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requests.get(self.base_url + "/flush_cache")
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acc_length, speed = send_one_prompt(args)
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print(f"attempt {attempt}: {acc_length=:.2f} {speed=:.2f}")
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if acc_length > self.accept_length_thres and speed > self.bs_1_speed_thres:
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break
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requests.get(self.base_url + "/flush_cache")
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if is_in_ci():
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write_github_step_summary(
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@@ -0,0 +1,93 @@
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"""DSA model + MTP (EAGLE) speculative-decoding server fixture.
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Variants combine `DsaMtpServerBase` (server lifecycle) with
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`DsaMtpEvalConfigDefaults` (shared eval thresholds/params),
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`GSM8KMixin` and `SpecDecodingMixin`, then set `model` and per-variant
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overrides (`enable_dp_attention`, `mem_fraction_static`, `bs_1_speed_thres`).
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Example:
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class TestDsv32DP(
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DsaMtpServerBase,
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DsaMtpEvalConfigDefaults,
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GSM8KMixin,
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SpecDecodingMixin,
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):
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model = "deepseek-ai/DeepSeek-V3.2"
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enable_dp_attention = True
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bs_1_speed_thres = 90
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The base itself is NOT a runnable test (no `test_*` methods until a subclass
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mixes in the kits), so unittest discovery picks it up as empty.
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"""
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from sglang.srt.utils import kill_process_tree
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from sglang.test.test_utils import (
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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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popen_launch_server,
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)
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class DsaMtpEvalConfigDefaults:
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"""Eval thresholds & params shared across DSA-MTP regression variants."""
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# GSM8KMixin defaults.
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gsm8k_accuracy_thres = 0.94
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gsm8k_accept_length_thres = 2.7
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gsm8k_num_questions = 500
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gsm8k_num_threads = 500
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gsm8k_num_shots = 20
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# SpecDecodingMixin default; per-variant subclasses set `bs_1_speed_thres`.
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accept_length_thres = 2.7
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class DsaMtpServerBase(CustomTestCase):
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base_url = DEFAULT_URL_FOR_TEST
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# Subclasses must set `model`; the others have sensible defaults.
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model: str = ""
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mem_fraction_static: float = 0.7
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enable_dp_attention: bool = False
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# EAGLE MTP config (fixed across DSA-MTP variants).
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speculative_algorithm: str = "EAGLE"
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speculative_num_steps: int = 3
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speculative_eagle_topk: int = 1
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speculative_num_draft_tokens: int = 4
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@classmethod
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def get_server_args(cls):
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assert cls.model, f"{cls.__name__} must set `model`"
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args = ["--trust-remote-code", "--tp", "8"]
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if cls.enable_dp_attention:
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args += ["--dp", "8", "--enable-dp-attention"]
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args += [
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"--speculative-algorithm",
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cls.speculative_algorithm,
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"--speculative-num-steps",
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str(cls.speculative_num_steps),
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"--speculative-eagle-topk",
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str(cls.speculative_eagle_topk),
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"--speculative-num-draft-tokens",
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str(cls.speculative_num_draft_tokens),
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"--mem-frac",
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str(cls.mem_fraction_static),
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"--model-loader-extra-config",
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'{"enable_multithread_load": true, "num_threads": 64}',
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]
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return args
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@classmethod
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def setUpClass(cls):
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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=cls.get_server_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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@@ -1,368 +0,0 @@
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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.srt.utils import kill_process_tree
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from sglang.test.ci.ci_register import register_cuda_ci
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from sglang.test.run_eval import run_eval
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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_TIMEOUT_FOR_SERVER_LAUNCH,
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DEFAULT_URL_FOR_TEST,
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CustomTestCase,
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is_in_ci,
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popen_launch_server,
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write_github_step_summary,
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)
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register_cuda_ci(
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est_time=1030,
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stage="stage-c",
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runner_config="8-gpu-h200",
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)
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FULL_DEEPSEEK_V32_MODEL_PATH = "deepseek-ai/DeepSeek-V3.2"
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GLM5_MODEL_PATH = "zai-org/GLM-5-FP8"
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class TestDeepseekV32DPMTP(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = FULL_DEEPSEEK_V32_MODEL_PATH
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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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"--tp",
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"8",
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"--dp",
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"8",
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"--enable-dp-attention",
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"--speculative-algorithm",
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"EAGLE",
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"--speculative-num-steps",
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"3",
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"--speculative-eagle-topk",
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"1",
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"--speculative-num-draft-tokens",
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"4",
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"--mem-frac",
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"0.7",
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"--model-loader-extra-config",
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'{"enable_multithread_load": true, "num_threads": 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(
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self,
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): # Append an "a" to make this test run first (alphabetically) to warm up the server
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requests.get(self.base_url + "/flush_cache")
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args = SimpleNamespace(
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base_url=self.base_url,
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model=self.model,
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eval_name="gsm8k",
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api="completion",
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max_tokens=512,
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num_examples=500,
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num_threads=500,
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num_shots=20,
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)
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metrics = run_eval(args)
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print(f"{metrics=}")
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server_info = requests.get(self.base_url + "/server_info")
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avg_spec_accept_length = server_info.json()["internal_states"][0][
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"avg_spec_accept_length"
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]
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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 (deepseek-v32 mtp)\n"
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f'{metrics["score"]=:.3f}\n'
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f"{avg_spec_accept_length=:.2f}\n"
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)
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self.assertGreater(metrics["score"], 0.94)
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self.assertGreater(avg_spec_accept_length, 2.7)
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def test_bs_1_speed(self):
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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 (deepseek-v32 mtp)\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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self.assertGreater(acc_length, 2.7)
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self.assertGreater(speed, 90)
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class TestDeepseekV32TPMTP(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = FULL_DEEPSEEK_V32_MODEL_PATH
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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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"--tp",
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"8",
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"--speculative-algorithm",
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"EAGLE",
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"--speculative-num-steps",
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"3",
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"--speculative-eagle-topk",
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"1",
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"--speculative-num-draft-tokens",
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"4",
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"--mem-frac",
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"0.7",
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"--model-loader-extra-config",
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'{"enable_multithread_load": true, "num_threads": 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(
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self,
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): # Append an "a" to make this test run first (alphabetically) to warm up the server
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requests.get(self.base_url + "/flush_cache")
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args = SimpleNamespace(
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base_url=self.base_url,
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model=self.model,
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eval_name="gsm8k",
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api="completion",
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max_tokens=512,
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num_examples=500,
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num_threads=500,
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num_shots=20,
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)
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metrics = run_eval(args)
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print(f"{metrics=}")
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server_info = requests.get(self.base_url + "/server_info")
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avg_spec_accept_length = server_info.json()["internal_states"][0][
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"avg_spec_accept_length"
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]
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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 (deepseek-v32 mtp)\n"
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f'{metrics["score"]=:.3f}\n'
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f"{avg_spec_accept_length=:.2f}\n"
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)
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self.assertGreater(metrics["score"], 0.94)
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self.assertGreater(avg_spec_accept_length, 2.7)
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def test_bs_1_speed(self):
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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 (deepseek-v32 mtp)\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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self.assertGreater(acc_length, 2.7)
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self.assertGreater(speed, 180)
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class TestGLM5DPMTP(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = GLM5_MODEL_PATH
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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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"--tp",
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"8",
|
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"--dp",
|
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"8",
|
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"--enable-dp-attention",
|
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"--speculative-algorithm",
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"EAGLE",
|
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"--speculative-num-steps",
|
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"3",
|
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"--speculative-eagle-topk",
|
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"1",
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"--speculative-num-draft-tokens",
|
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"4",
|
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"--mem-frac",
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"0.8",
|
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"--model-loader-extra-config",
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'{"enable_multithread_load": true, "num_threads": 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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|
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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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|
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def test_a_gsm8k(
|
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self,
|
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): # Append an "a" to make this test run first (alphabetically) to warm up the server
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requests.get(self.base_url + "/flush_cache")
|
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|
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args = SimpleNamespace(
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base_url=self.base_url,
|
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model=self.model,
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eval_name="gsm8k",
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api="completion",
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max_tokens=512,
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num_examples=500,
|
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num_threads=500,
|
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num_shots=20,
|
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)
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metrics = run_eval(args)
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print(f"{metrics=}")
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|
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server_info = requests.get(self.base_url + "/server_info")
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avg_spec_accept_length = server_info.json()["internal_states"][0][
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"avg_spec_accept_length"
|
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]
|
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print(f"{avg_spec_accept_length=}")
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|
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if is_in_ci():
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write_github_step_summary(
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f"### test_gsm8k (glm-5 mtp)\n"
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f'{metrics["score"]=:.3f}\n'
|
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f"{avg_spec_accept_length=:.2f}\n"
|
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)
|
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self.assertGreater(metrics["score"], 0.94)
|
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self.assertGreater(avg_spec_accept_length, 2.7)
|
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|
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def test_bs_1_speed(self):
|
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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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|
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print(f"{acc_length=:.2f} {speed=:.2f}")
|
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|
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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 (glm-5 mtp)\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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|
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self.assertGreater(acc_length, 2.7)
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self.assertGreater(speed, 70)
|
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|
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|
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class TestGLM5TPMTP(CustomTestCase):
|
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@classmethod
|
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def setUpClass(cls):
|
||||
cls.model = GLM5_MODEL_PATH
|
||||
cls.base_url = DEFAULT_URL_FOR_TEST
|
||||
other_args = [
|
||||
"--trust-remote-code",
|
||||
"--tp",
|
||||
"8",
|
||||
"--speculative-algorithm",
|
||||
"EAGLE",
|
||||
"--speculative-num-steps",
|
||||
"3",
|
||||
"--speculative-eagle-topk",
|
||||
"1",
|
||||
"--speculative-num-draft-tokens",
|
||||
"4",
|
||||
"--mem-frac",
|
||||
"0.8",
|
||||
"--model-loader-extra-config",
|
||||
'{"enable_multithread_load": true, "num_threads": 64}',
|
||||
]
|
||||
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_a_gsm8k(
|
||||
self,
|
||||
): # Append an "a" to make this test run first (alphabetically) to warm up the server
|
||||
requests.get(self.base_url + "/flush_cache")
|
||||
|
||||
args = SimpleNamespace(
|
||||
base_url=self.base_url,
|
||||
model=self.model,
|
||||
eval_name="gsm8k",
|
||||
api="completion",
|
||||
max_tokens=512,
|
||||
num_examples=500,
|
||||
num_threads=500,
|
||||
num_shots=20,
|
||||
)
|
||||
metrics = run_eval(args)
|
||||
print(f"{metrics=}")
|
||||
|
||||
server_info = requests.get(self.base_url + "/server_info")
|
||||
avg_spec_accept_length = server_info.json()["internal_states"][0][
|
||||
"avg_spec_accept_length"
|
||||
]
|
||||
print(f"{avg_spec_accept_length=}")
|
||||
|
||||
if is_in_ci():
|
||||
write_github_step_summary(
|
||||
f"### test_gsm8k (glm-5 mtp)\n"
|
||||
f'{metrics["score"]=:.3f}\n'
|
||||
f"{avg_spec_accept_length=:.2f}\n"
|
||||
)
|
||||
self.assertGreater(metrics["score"], 0.94)
|
||||
self.assertGreater(avg_spec_accept_length, 2.7)
|
||||
|
||||
def test_bs_1_speed(self):
|
||||
args = BenchArgs(port=int(self.base_url.split(":")[-1]), max_new_tokens=2048)
|
||||
acc_length, speed = send_one_prompt(args)
|
||||
|
||||
print(f"{acc_length=:.2f} {speed=:.2f}")
|
||||
|
||||
if is_in_ci():
|
||||
write_github_step_summary(
|
||||
f"### test_bs_1_speed (glm-5 mtp)\n"
|
||||
f"{acc_length=:.2f}\n"
|
||||
f"{speed=:.2f} token/s\n"
|
||||
)
|
||||
|
||||
self.assertGreater(acc_length, 2.7)
|
||||
self.assertGreater(speed, 150)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
unittest.main()
|
||||
@@ -0,0 +1,28 @@
|
||||
import unittest
|
||||
|
||||
from sglang.test.ci.ci_register import register_cuda_ci
|
||||
from sglang.test.kits.eval_accuracy_kit import GSM8KMixin
|
||||
from sglang.test.kits.spec_decoding_kit import SpecDecodingMixin
|
||||
from sglang.test.server_fixtures.dsa_mtp_fixture import (
|
||||
DsaMtpEvalConfigDefaults,
|
||||
DsaMtpServerBase,
|
||||
)
|
||||
|
||||
register_cuda_ci(
|
||||
est_time=600,
|
||||
stage="extra-b",
|
||||
runner_config="8-gpu-h200",
|
||||
)
|
||||
|
||||
|
||||
class TestDeepseekV32DPMTP(
|
||||
DsaMtpServerBase, DsaMtpEvalConfigDefaults, GSM8KMixin, SpecDecodingMixin
|
||||
):
|
||||
model = "deepseek-ai/DeepSeek-V3.2"
|
||||
mem_fraction_static = 0.7
|
||||
enable_dp_attention = True
|
||||
bs_1_speed_thres = 90
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
unittest.main()
|
||||
@@ -0,0 +1,27 @@
|
||||
import unittest
|
||||
|
||||
from sglang.test.ci.ci_register import register_cuda_ci
|
||||
from sglang.test.kits.eval_accuracy_kit import GSM8KMixin
|
||||
from sglang.test.kits.spec_decoding_kit import SpecDecodingMixin
|
||||
from sglang.test.server_fixtures.dsa_mtp_fixture import (
|
||||
DsaMtpEvalConfigDefaults,
|
||||
DsaMtpServerBase,
|
||||
)
|
||||
|
||||
register_cuda_ci(
|
||||
est_time=400,
|
||||
stage="extra-b",
|
||||
runner_config="8-gpu-h200",
|
||||
)
|
||||
|
||||
|
||||
class TestDeepseekV32TPMTP(
|
||||
DsaMtpServerBase, DsaMtpEvalConfigDefaults, GSM8KMixin, SpecDecodingMixin
|
||||
):
|
||||
model = "deepseek-ai/DeepSeek-V3.2"
|
||||
mem_fraction_static = 0.7
|
||||
bs_1_speed_thres = 180
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
unittest.main()
|
||||
@@ -0,0 +1,28 @@
|
||||
import unittest
|
||||
|
||||
from sglang.test.ci.ci_register import register_cuda_ci
|
||||
from sglang.test.kits.eval_accuracy_kit import GSM8KMixin
|
||||
from sglang.test.kits.spec_decoding_kit import SpecDecodingMixin
|
||||
from sglang.test.server_fixtures.dsa_mtp_fixture import (
|
||||
DsaMtpEvalConfigDefaults,
|
||||
DsaMtpServerBase,
|
||||
)
|
||||
|
||||
register_cuda_ci(
|
||||
est_time=400,
|
||||
stage="stage-c",
|
||||
runner_config="8-gpu-h200",
|
||||
)
|
||||
|
||||
|
||||
class TestGLM5DPMTP(
|
||||
DsaMtpServerBase, DsaMtpEvalConfigDefaults, GSM8KMixin, SpecDecodingMixin
|
||||
):
|
||||
model = "zai-org/GLM-5-FP8"
|
||||
mem_fraction_static = 0.8
|
||||
enable_dp_attention = True
|
||||
bs_1_speed_thres = 70
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
unittest.main()
|
||||
@@ -0,0 +1,27 @@
|
||||
import unittest
|
||||
|
||||
from sglang.test.ci.ci_register import register_cuda_ci
|
||||
from sglang.test.kits.eval_accuracy_kit import GSM8KMixin
|
||||
from sglang.test.kits.spec_decoding_kit import SpecDecodingMixin
|
||||
from sglang.test.server_fixtures.dsa_mtp_fixture import (
|
||||
DsaMtpEvalConfigDefaults,
|
||||
DsaMtpServerBase,
|
||||
)
|
||||
|
||||
register_cuda_ci(
|
||||
est_time=400,
|
||||
stage="stage-c",
|
||||
runner_config="8-gpu-h200",
|
||||
)
|
||||
|
||||
|
||||
class TestGLM5TPMTP(
|
||||
DsaMtpServerBase, DsaMtpEvalConfigDefaults, GSM8KMixin, SpecDecodingMixin
|
||||
):
|
||||
model = "zai-org/GLM-5-FP8"
|
||||
mem_fraction_static = 0.8
|
||||
bs_1_speed_thres = 150
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
unittest.main()
|
||||
Reference in New Issue
Block a user