[Test] Replace NVFP4 MoE runner backend e2e matrix with a layer-level unit test (#33611)

test/registered/backends/test_deepseek_v3_fp4_cutedsl_moe.py

@@ -1,18 +1,7 @@
-"""Backend tests for CuteDSL MoE (FusedMoE + moe_runner, moe_a2a=none).
-
-Exercises the CuteDSL moe_runner path with ModelOpt FP4 by launching a
-server with --moe-runner-backend flashinfer_cutedsl.
-
-Two configurations are tested:
-  - EP=1, TP=4: each GPU holds all experts with TP-sharded intermediate dim
-  - EP=4, TP=4: each GPU holds 1/4 of experts at full intermediate width,
-    partial results combined via all-reduce (no A2A dispatch)
-
-Requires 4 GPUs. Run from repo root with:
-  python -m pytest test/registered/backends/test_deepseek_v3_fp4_cutedsl_moe.py -v -s
-Or via the nightly suite:
-  python test/run_suite.py --hw cuda --suite nightly-4-gpu-b200 --nightly
-"""
+"""CuteDSL MoE e2e with EP=TP=4 (moe_a2a=none): each GPU holds 1/4 of the
+experts at full intermediate width, partial results combined via all-reduce.
+Kept for the distributed-EP dimension; single-GPU backend numerics live in
+unit/layers/quantization/test_nvfp4_moe_backends.py."""
 
 import unittest
 from types import SimpleNamespace
@@ -28,68 +17,13 @@ from sglang.test.test_utils import (
     write_github_step_summary,
 )
 
-register_cuda_ci(est_time=900, suite="nightly-4-gpu-b200", nightly=True)
+register_cuda_ci(est_time=450, suite="nightly-4-gpu-b200", nightly=True)
 
 FULL_DEEPSEEK_V3_FP4_MODEL_PATH = "nvidia/DeepSeek-V3-0324-FP4"
 SERVER_LAUNCH_TIMEOUT = 1000
 GSM8K_ACCURACY_THRESHOLD = 0.935
 
 
-class TestDeepseekV3FP4CuteDSLMoE(CustomTestCase):
-    """CuteDSL standard moe_runner path: flashinfer_cutedsl + modelopt_fp4, EP=1."""
-
-    @classmethod
-    def setUpClass(cls):
-        cls.model = FULL_DEEPSEEK_V3_FP4_MODEL_PATH
-        cls.base_url = DEFAULT_URL_FOR_TEST
-        other_args = [
-            "--tp",
-            "4",
-            "--ep",
-            "1",
-            "--mem-fraction-static",
-            "0.75",
-            "--attention-backend",
-            "trtllm_mla",
-            "--moe-runner-backend",
-            "flashinfer_cutedsl",
-            "--quantization",
-            "modelopt_fp4",
-            "--model-loader-extra-config",
-            '{"enable_multithread_load": true}',
-        ]
-        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,
-    ):  # 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)
-        if is_in_ci():
-            write_github_step_summary(
-                f"### test_gsm8k (deepseek-v3-fp4-cutedsl-moe)\n"
-                f'{metrics["accuracy"]=:.3f}\n'
-            )
-        self.assertGreater(metrics["accuracy"], GSM8K_ACCURACY_THRESHOLD)
-
-
 class TestDeepseekV3FP4CuteDSLMoEEP4(CustomTestCase):
     """CuteDSL standard moe_runner path: flashinfer_cutedsl + modelopt_fp4, EP=TP=4."""
 

test/registered/backends/test_deepseek_v3_fp4_cutlass_moe.py

@@ -1,76 +0,0 @@
-import unittest
-from types import SimpleNamespace
-
-from sglang.srt.utils import kill_process_tree
-from sglang.test.ci.ci_register import register_cuda_ci
-from sglang.test.run_eval import run_eval
-from sglang.test.test_utils import (
-    DEFAULT_URL_FOR_TEST,
-    CustomTestCase,
-    is_in_ci,
-    popen_launch_server,
-    write_github_step_summary,
-)
-
-register_cuda_ci(est_time=900, suite="nightly-4-gpu-b200", nightly=True)
-
-FULL_DEEPSEEK_V3_FP4_MODEL_PATH = "nvidia/DeepSeek-V3-0324-FP4"
-SERVER_LAUNCH_TIMEOUT = 1000
-
-
-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",
-            "--model-loader-extra-config",
-            '{"enable_multithread_load": true}',
-        ]
-        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,
-    ):  # Append an "a" to make this test run first (alphabetically) to warm up the server
-        args = SimpleNamespace(
-            base_url=self.base_url,
-            model=self.model,
-            eval_name="gsm8k",
-            api="completion",
-            max_tokens=512,
-            num_examples=1319,
-            num_threads=1319,
-            num_shots=8,
-        )
-        metrics = run_eval(args)
-        print(f"{metrics=}")
-
-        if is_in_ci():
-            write_github_step_summary(
-                f"### test_gsm8k (deepseek-v3-fp4-cutlass-moe)\n"
-                f'{metrics["score"]=:.3f}\n'
-            )
-            self.assertGreater(metrics["score"], 0.935)
-
-
-if __name__ == "__main__":
-    unittest.main()