3f3c201243
Co-authored-by: kkHuang-amd <wunhuang@amd.com> Co-authored-by: YC Tseng <yctseng@amd.com>
91 lines
2.6 KiB
Python
91 lines
2.6 KiB
Python
"""
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Test LLaDA2 (Diffusion Language Model) on AMD GPUs.
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This test verifies that DLLM works on AMD with triton attention backend.
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"""
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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.ci.ci_register import register_amd_ci
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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_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_amd_ci(est_time=1000, suite="stage-b-test-small-1-gpu-amd")
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class TestLLaDA2MiniAMD(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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"triton", # Use triton for AMD instead of flashinfer
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"--dllm-algorithm",
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"LowConfidence",
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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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"""Test GSM8K accuracy with DLLM on AMD."""
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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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# Relaxed thresholds for AMD - may need adjustment
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self.assertGreater(metrics["accuracy"], 0.80)
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self.assertGreater(metrics["output_throughput"], 50)
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def test_bs_1_speed(self):
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"""Test single batch inference speed."""
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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 AMD) with tp1\n"
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f"{speed=:.2f} token/s\n"
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)
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# Relaxed threshold for AMD
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self.assertGreater(speed, 10)
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if __name__ == "__main__":
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unittest.main()
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