[DLLM] Add CI for diffusion LLMs (#14723)
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@@ -723,6 +723,7 @@ class Req:
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self.dimensions = dimensions
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# For diffusion LLM
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self.dllm_ids = []
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self.dllm_block_offset = 0
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self.dllm_config = dllm_config
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@@ -799,14 +800,15 @@ class Req:
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return self.dllm_config is not None
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def _init_fill_ids_for_dllm(self):
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if not self.fill_ids:
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self.fill_ids = (
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if not self.dllm_ids:
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self.dllm_ids = (
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self.origin_input_ids
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+ [self.dllm_config.mask_id] * self.dllm_config.block_size
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)
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else:
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self.dllm_block_offset += self.dllm_config.block_size
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self.fill_ids += [self.dllm_config.mask_id] * self.dllm_config.block_size
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self.dllm_ids += [self.dllm_config.mask_id] * self.dllm_config.block_size
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self.fill_ids = self.dllm_ids
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def init_next_round_input(self, tree_cache: Optional[BasePrefixCache] = None):
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if self.is_dllm():
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81
test/srt/dllm/test_llada2_mini.py
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81
test/srt/dllm/test_llada2_mini.py
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@@ -0,0 +1,81 @@
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import unittest
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from types import SimpleNamespace
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from sglang.srt.utils import kill_process_tree
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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_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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popen_launch_server,
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write_github_step_summary,
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)
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class TestLLaDA2Mini(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = "inclusionAI/LLaDA2.0-mini"
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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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"--mem-fraction-static",
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"0.9",
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"--max-running-requests",
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"1",
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"--attention-backend",
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"flashinfer",
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"--dllm-algorithm",
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"LowConfidence", # TODO: Add dLLM configurations
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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_gsm8k(self):
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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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self.assertGreater(metrics["accuracy"], 0.6)
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self.assertGreater(metrics["output_throughput"], 150)
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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"{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 (llada2-mini) with tp1\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(speed, 10)
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else:
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self.assertGreater(speed, 250)
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if __name__ == "__main__":
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unittest.main()
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@@ -51,6 +51,7 @@ suites = {
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TestFile("rl/test_fp32_lm_head.py", 9),
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# TestFile("rl/test_update_weights_from_disk.py", 210), # Temporarily disabled, see https://github.com/sgl-project/sglang/pull/13998
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TestFile("rl/test_update_weights_from_tensor.py", 195),
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TestFile("dllm/test_llada2_mini.py", 520),
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TestFile("test_abort.py", 131),
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TestFile("test_chunked_prefill.py", 312),
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TestFile("test_create_kvindices.py", 7),
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