[AMD] Add kimi mi35x nightly test, folder organization and several stability fixes (#17895)

test/registered/amd/accuracy/mi35x/test_gpt_oss_eval_mi35x.py

@@ -75,7 +75,9 @@ MI35X_GPT_OSS_MODELS = [
             "triton",
             "--trust-remote-code",
         ],
-        env_vars={"SGLANG_USE_AITER": "1"},
+        env_vars={
+            "SGLANG_USE_AITER": "0"
+        },  # Disabled due to SWA eviction bug with aiter (#17220)
     ),
     ModelConfig(
         model_path="openai/gpt-oss-120b",
@@ -93,7 +95,9 @@ MI35X_GPT_OSS_MODELS = [
             "triton",
             "--trust-remote-code",
         ],
-        env_vars={"SGLANG_USE_AITER": "1"},
+        env_vars={
+            "SGLANG_USE_AITER": "0"
+        },  # Disabled due to SWA eviction bug with aiter (#17220)
     ),
 ]
 

test/registered/amd/accuracy/mi35x/test_grok1_int4_eval_mi35x.py

@@ -23,9 +23,9 @@ from sglang.test.test_utils import (
 )
 from sglang.utils import download_and_cache_file, read_jsonl
 
-# Register for AMD CI - GROK1-INT4 accuracy tests on MI35x (~25 min)
+# Register for AMD CI - GROK1-INT4 accuracy tests on MI35x (~70 min)
 register_amd_ci(
-    est_time=1500, suite="nightly-amd-accuracy-8-gpu-mi35x-grok1-int4", nightly=True
+    est_time=4200, suite="nightly-amd-accuracy-8-gpu-mi35x-grok1-int4", nightly=True
 )
 
 INVALID = -9999999

test/registered/amd/accuracy/mi35x/test_grok2_eval_mi35x.py

@@ -105,7 +105,7 @@ class TestGrok2EvalMI35x(unittest.TestCase):
     def setUpClass(cls):
         cls.base_url = DEFAULT_URL_FOR_TEST
         cls.num_questions = int(os.environ.get("GSM8K_NUM_QUESTIONS", "200"))
-        cls.accuracy_threshold = 0.915
+        cls.accuracy_threshold = 0.90
 
     def test_grok2_accuracy(self):
         """Test Grok-2 with GSM8K completion benchmark."""

test/registered/amd/accuracy/mi35x/test_kimi_k2_eval_mi35x.py

@@ -0,0 +1,105 @@
+"""MI35x Kimi-K2 GSM8K Completion Evaluation Test (8-GPU)
+
+Tests moonshotai/Kimi-K2-Instruct-0905 with GSM8K few-shot benchmark on MI35x.
+
+Registry: nightly-amd-accuracy-8-gpu-mi35x-kimi-k2 suite
+"""
+
+import os
+import unittest
+from types import SimpleNamespace
+
+import requests
+
+from sglang.srt.utils import kill_process_tree
+from sglang.test.ci.ci_register import register_amd_ci
+from sglang.test.few_shot_gsm8k import run_eval as run_eval_few_shot_gsm8k
+from sglang.test.test_utils import (
+    DEFAULT_URL_FOR_TEST,
+    CustomTestCase,
+    is_in_ci,
+    popen_launch_server,
+    write_github_step_summary,
+)
+
+# Register for AMD CI - Kimi K2 accuracy test on MI35x (~60 min)
+register_amd_ci(
+    est_time=3600, suite="nightly-amd-accuracy-8-gpu-mi35x-kimi-k2", nightly=True
+)
+
+KIMI_K2_MODEL_PATH = "moonshotai/Kimi-K2-Instruct-0905"
+SERVER_LAUNCH_TIMEOUT = 3600
+ACCURACY_THRESHOLD = 0.94
+
+
+class TestKimiK2EvalMI35x(CustomTestCase):
+    """Kimi-K2 GSM8K Completion Evaluation Test for AMD MI35x."""
+
+    @classmethod
+    def setUpClass(cls):
+        cls.base_url = DEFAULT_URL_FOR_TEST
+
+    def test_kimi_k2_gsm8k_accuracy(self):
+        """Test Kimi-K2 with GSM8K few-shot completion benchmark."""
+        other_args = [
+            "--tp",
+            "8",
+            "--decode-attention-backend",
+            "triton",
+            "--prefill-attention-backend",
+            "aiter",
+            "--trust-remote-code",
+            "--model-loader-extra-config",
+            '{"enable_multithread_load": true}',
+            "--watchdog-timeout",
+            "1200",
+        ]
+        env = os.environ.copy()
+        env["SGLANG_USE_AITER"] = "1"
+        env["SGLANG_ROCM_FUSED_DECODE_MLA"] = "0"
+
+        process = popen_launch_server(
+            KIMI_K2_MODEL_PATH,
+            self.base_url,
+            timeout=SERVER_LAUNCH_TIMEOUT,
+            other_args=other_args,
+            env=env,
+        )
+
+        try:
+            requests.get(self.base_url + "/flush_cache")
+
+            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)
+            acc = metrics["accuracy"]
+
+            passed = acc >= ACCURACY_THRESHOLD
+            status = "✅ PASS" if passed else "❌ FAIL"
+            print(f"  accuracy={acc:.3f} threshold={ACCURACY_THRESHOLD} {status}")
+
+            if is_in_ci():
+                summary = "### Kimi-K2 Model (MI35x)\n\n"
+                summary += "| Model | TP | Accuracy | Threshold | Status |\n"
+                summary += "| ----- | -- | -------- | --------- | ------ |\n"
+                summary += f"| {KIMI_K2_MODEL_PATH} | 8 | {acc:.3f} | {ACCURACY_THRESHOLD} | {status} |\n"
+                write_github_step_summary(summary)
+
+            self.assertGreaterEqual(
+                acc,
+                ACCURACY_THRESHOLD,
+                f"Kimi-K2 accuracy {acc:.3f} below threshold {ACCURACY_THRESHOLD}",
+            )
+        finally:
+            kill_process_tree(process.pid)
+
+
+if __name__ == "__main__":
+    unittest.main()