[AMD CI] Migrate and Add More Testcases (#17116)

Co-authored-by: yctseng0211 <yctseng@amd.com>

test/registered/quant/test_awq_dequant.py

@@ -19,7 +19,7 @@ from sglang.srt.layers.quantization.awq_triton import (
 from sglang.test.ci.ci_register import register_amd_ci
 from sglang.test.test_utils import CustomTestCase
 
-register_amd_ci(est_time=2, suite="stage-a-test-1")
+register_amd_ci(est_time=2, suite="stage-a-test-1-amd")
 
 device = "cuda"
 

test/registered/quant/test_fused_rms_fp8_group_quant.py

@@ -7,7 +7,7 @@ import torch.nn.functional as F
 from sglang.test.ci.ci_register import register_amd_ci
 from sglang.test.test_utils import CustomTestCase
 
-register_amd_ci(est_time=10, suite="stage-a-test-1")
+register_amd_ci(est_time=10, suite="stage-a-test-1-amd")
 
 
 def _fp8_available() -> bool:

test/registered/quant/test_int4fp8_moe.py

@@ -0,0 +1,58 @@
+from types import SimpleNamespace
+
+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
+from sglang.test.test_utils import (
+    DEFAULT_URL_FOR_TEST,
+    CustomTestCase,
+    popen_launch_server,
+)
+
+register_amd_ci(est_time=313, suite="stage-b-test-small-1-gpu-amd")
+
+
+class TestMixtralAccuracy(CustomTestCase):
+    @classmethod
+    def setUpClass(cls):
+        cls.model = "mistralai/Mixtral-8x7B-Instruct-v0.1"
+        cls.base_url = DEFAULT_URL_FOR_TEST
+
+        other_args = [
+            "--tp",
+            "2",
+            "--mem-fraction-static",
+            "0.9",
+            "--context-length",
+            "38768",
+            "--quantization",
+            "quark_int4fp8_moe",
+            # The default aiter attention backend raises segmentation faults and other errors - as quark_int4fp8_moe is not related to attention, let's just use triton here.
+            "--attention-backend",
+            "triton",
+        ]
+
+        cls.process = popen_launch_server(
+            cls.model,
+            cls.base_url,
+            timeout=45 * 60,
+            other_args=other_args,
+        )
+
+    @classmethod
+    def tearDownClass(cls):
+        kill_process_tree(cls.process.pid)
+
+    def test_gsm8k(self):
+        args = SimpleNamespace(
+            num_shots=8,
+            data_path=None,
+            num_questions=1400,
+            max_new_tokens=512,
+            parallel=128,
+            host="http://127.0.0.1",
+            port=int(self.base_url.split(":")[-1]),
+        )
+        metrics = run_eval(args)
+        print(f"{metrics=}")
+        self.assertGreater(metrics["accuracy"], 0.56)