Remove redundant DeepSeek V3 FP4 PCG test (#21485)

test/registered/quant/test_deepseek_v3_fp4_4gpu.py

@@ -14,7 +14,7 @@ from sglang.test.test_utils import (
     write_github_step_summary,
 )
 
-register_cuda_ci(est_time=1500, suite="stage-c-test-4-gpu-b200")
+register_cuda_ci(est_time=1200, suite="stage-c-test-4-gpu-b200")
 
 FULL_DEEPSEEK_V3_FP4_MODEL_PATH = "nvidia/DeepSeek-V3-0324-FP4"
 SERVER_LAUNCH_TIMEOUT = 1200
@@ -72,72 +72,6 @@ class TestDeepseekV3FP4(CustomTestCase):
 
         self.assertGreater(metrics["accuracy"], 0.93)
 
-    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 TestDeepseekV3FP4PiecewiseCudaGraph(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",
-            "--model-loader-extra-config",
-            '{"enable_multithread_load": true,"num_threads": 64}',
-        ]
-        cls.process = popen_launch_server(
-            cls.model,
-            cls.base_url,
-            timeout=SERVER_LAUNCH_TIMEOUT,
-            other_args=other_args,
-        )
-
-    @classmethod
-    def tearDownClass(cls):
-        kill_process_tree(cls.process.pid)
-
-    def test_a_gsm8k(
-        self,
-    ):
-        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"], 0.93)
-
     def test_bs_1_speed(self):
         args = BenchArgs(port=int(self.base_url.split(":")[-1]), max_new_tokens=2048)
         _, speed = send_one_prompt(args)