adapt to sglang v0.5.2rc1 on dcu

test/srt/test_bench_one_batch.py

@@ -0,0 +1,73 @@
+import os
+import unittest
+
+from sglang.test.test_utils import (
+    DEFAULT_MODEL_NAME_FOR_TEST,
+    DEFAULT_MOE_MODEL_NAME_FOR_TEST,
+    DEFAULT_SMALL_MODEL_NAME_FOR_TEST,
+    CustomTestCase,
+    is_in_amd_ci,
+    is_in_ci,
+    run_bench_offline_throughput,
+    run_bench_one_batch,
+    write_github_step_summary,
+)
+
+# We use `run_bench_offline_throughput`` instead of `run_bench_one_batch` for most cases
+# because `run_bench_offline_throughput`` has overlap scheduler.
+
+
+class TestBenchOneBatch(CustomTestCase):
+
+    def test_bs1_small(self):
+        _, output_throughput, _ = run_bench_one_batch(
+            DEFAULT_SMALL_MODEL_NAME_FOR_TEST, ["--cuda-graph-max-bs", "2"]
+        )
+        self.assertGreater(output_throughput, 50)
+
+    def test_bs1_default(self):
+        output_throughput = run_bench_offline_throughput(
+            DEFAULT_MODEL_NAME_FOR_TEST, ["--cuda-graph-max-bs", "2"]
+        )
+
+        if is_in_ci():
+            write_github_step_summary(
+                f"### test_bs1_default (llama-3.1-8b)\n"
+                f"output_throughput: {output_throughput:.2f} token/s\n"
+            )
+            self.assertGreater(output_throughput, 135)
+
+    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()