test_deepseek_v3_fp4_4gpu.py

import os
import unittest
from types import SimpleNamespace

import requests

from sglang.srt.utils import kill_process_tree
from sglang.test.few_shot_gsm8k import run_eval as run_eval_few_shot_gsm8k
from sglang.test.send_one import BenchArgs, send_one_prompt
from sglang.test.test_utils import (
    DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
    DEFAULT_URL_FOR_TEST,
    CustomTestCase,
    is_in_ci,
    popen_launch_server,
    write_github_step_summary,
)

FULL_DEEPSEEK_V3_FP4_MODEL_PATH = "nvidia/DeepSeek-V3-0324-FP4"


class TestDeepseekV3FP4(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = FULL_DEEPSEEK_V3_FP4_MODEL_PATH
        cls.base_url = DEFAULT_URL_FOR_TEST
        other_args = [
            "--tp",
            "4",
            "--attention-backend",
            "trtllm_mla",
            "--moe-runner-backend",
            "flashinfer_trtllm",
            "--quantization",
            "modelopt_fp4",
            "--kv-cache-dtype",
            "fp8_e4m3",
        ]
        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
        args = SimpleNamespace(
            num_shots=8,
            data_path=None,
            num_questions=1319,
            parallel=1319,
            max_new_tokens=512,
            host="http://127.0.0.1",
            port=int(self.base_url.split(":")[-1]),
        )
        metrics = run_eval_few_shot_gsm8k(args)
        print(f"{metrics=}")

        if is_in_ci():
            write_github_step_summary(
                f"### test_gsm8k (deepseek-v3-fp4)\n" f'{metrics["accuracy"]=:.3f}\n'
            )
            self.assertGreater(metrics["accuracy"], 0.935)

    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"{speed=:.2f}")

        if is_in_ci():
            write_github_step_summary(
                f"### test_bs_1_speed (deepseek-v3-fp4)\n" f"{speed=:.2f} token/s\n"
            )
            self.assertGreater(speed, 75)


class TestDeepseekV3FP4MTP(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        os.environ["SGLANG_ENABLE_SPEC_V2"] = "1"
        cls.model = FULL_DEEPSEEK_V3_FP4_MODEL_PATH
        cls.base_url = DEFAULT_URL_FOR_TEST
        other_args = [
            "--tp",
            "4",
            "--attention-backend",
            "trtllm_mla",
            "--moe-runner-backend",
            "flashinfer_trtllm",
            "--quantization",
            "modelopt_fp4",
            "--speculative-algorithm",
            "EAGLE",
            "--speculative-num-steps",
            "3",
            "--speculative-eagle-topk",
            "1",
            "--speculative-num-draft-tokens",
            "4",
            "--kv-cache-dtype",
            "fp8_e4m3",
        ]
        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)
        if "SGLANG_ENABLE_SPEC_V2" in os.environ:
            del os.environ["SGLANG_ENABLE_SPEC_V2"]

    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(
            num_shots=5,
            data_path=None,
            num_questions=200,
            max_new_tokens=512,
            parallel=128,
            host="http://127.0.0.1",
            port=int(self.base_url.split(":")[-1]),
        )
        metrics = run_eval_few_shot_gsm8k(args)
        print(f"{metrics=}")

        server_info = requests.get(self.base_url + "/get_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 (deepseek-v3-fp4 mtp)\n"
                f'{metrics["accuracy"]=:.3f}\n'
                f"{avg_spec_accept_length=:.2f}\n"
            )
            self.assertGreater(metrics["accuracy"], 0.94)
            self.assertGreater(avg_spec_accept_length, 2.04)

    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 (deepseek-v3-fp4 mtp)\n"
                f"{acc_length=:.2f}\n"
                f"{speed=:.2f} token/s\n"
            )
            self.assertGreater(acc_length, 2.04)
            self.assertGreater(speed, 150)


class TestDeepseekV3FP4CutlassMoE(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = FULL_DEEPSEEK_V3_FP4_MODEL_PATH
        cls.base_url = DEFAULT_URL_FOR_TEST
        other_args = [
            "--tp",
            "4",
            "--ep",
            "4",
            "--attention-backend",
            "trtllm_mla",
            "--moe-runner-backend",
            "flashinfer_cutlass",
            "--quantization",
            "modelopt_fp4",
        ]
        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
        args = SimpleNamespace(
            num_shots=8,
            data_path=None,
            num_questions=1319,
            parallel=1319,
            max_new_tokens=512,
            host="http://127.0.0.1",
            port=int(self.base_url.split(":")[-1]),
        )
        metrics = run_eval_few_shot_gsm8k(args)
        print(f"{metrics=}")

        if is_in_ci():
            write_github_step_summary(
                f"### test_gsm8k (deepseek-v3-fp4-cutlass-moe)\n"
                f'{metrics["accuracy"]=:.3f}\n'
            )
            self.assertGreater(metrics["accuracy"], 0.935)


if __name__ == "__main__":
    unittest.main()