Migrate performance, accuracy, and quantization tests to CI registry (#17177)

Co-authored-by: Kangyan-Zhou <zky314343421@gmail.com>
2026-01-18 23:25:24 -08:00
parent a3d9a21882
commit 8916b9d080
20 changed files with 1050 additions and 1020 deletions
@@ -0,0 +1,52 @@
+import unittest
+
+from sglang.test.ci.ci_register import register_cuda_ci
+from sglang.test.test_utils import (
+    DEFAULT_MODEL_NAME_FOR_TEST,
+    DEFAULT_MOE_MODEL_NAME_FOR_TEST,
+    CustomTestCase,
+    is_in_amd_ci,
+    is_in_ci,
+    run_bench_offline_throughput,
+    write_github_step_summary,
+)
+
+register_cuda_ci(est_time=180, suite="stage-b-test-large-2-gpu-performance")
+
+
+class TestBenchOneBatch2GPU(CustomTestCase):
+
+    def test_moe_tp2_bs1(self):
+        output_throughput = run_bench_offline_throughput(
+            DEFAULT_MOE_MODEL_NAME_FOR_TEST, ["--tp", "2", "--cuda-graph-max-bs", "2"]
+        )
+
+        if is_in_ci():
+            write_github_step_summary(
+                f"### test_moe_tp2_bs1 (Mixtral-8x7B)\n"
+                f"output_throughput: {output_throughput:.2f} token/s\n"
+            )
+            if is_in_amd_ci():
+                self.assertGreater(output_throughput, 85)
+            else:
+                self.assertGreater(output_throughput, 125)
+
+    def test_torch_compile_tp2_bs1(self):
+        output_throughput = run_bench_offline_throughput(
+            DEFAULT_MODEL_NAME_FOR_TEST,
+            ["--tp", "2", "--enable-torch-compile", "--cuda-graph-max-bs", "2"],
+        )
+
+        if is_in_ci():
+            write_github_step_summary(
+                f"### test_torch_compile_tp2_bs1 (Mixtral-8x7B)\n"
+                f"output_throughput: {output_throughput:.2f} token/s\n"
+            )
+            if is_in_amd_ci():
+                self.assertGreater(output_throughput, 200)
+            else:
+                self.assertGreater(output_throughput, 220)
+
+
+if __name__ == "__main__":
+    unittest.main()