sglangv0.5.2 & support Qwen3-Next-80B-A3B-Instruct

benchmark/generative_agents/bench_other.py

@@ -0,0 +1,80 @@
+import argparse
+import json
+import time
+
+from agent_functions import (
+    action_location_object_prompt,
+    action_location_sector_prompt,
+    generate_event_triple_prompt,
+    generate_pronunciatio_prompt,
+    poignancy_event_prompt,
+)
+from tqdm import tqdm
+
+from sglang.test.test_utils import add_common_other_args_and_parse, get_call_generate
+from sglang.utils import dump_state_text, read_jsonl
+
+
+def main(args):
+    lines = read_jsonl(args.data_path)[: args.num_events]
+    mapping = {
+        "poignancy_event": poignancy_event_prompt,
+        "generate_event_triple": generate_event_triple_prompt,
+        "generate_pronunciatio": generate_pronunciatio_prompt,
+        "action_location_sector": action_location_sector_prompt,
+        "action_location_object": action_location_object_prompt,
+    }
+
+    arguments = [mapping[k](**v) for l in lines for k, v in l.items()]
+    states = []
+
+    # Select backend
+    call_generate = get_call_generate(args)
+
+    def get_one_answer(arg):
+        answer = call_generate(**arg, temperature=0)
+        states.append(answer)
+
+    async def get_one_answer_async(arg):
+        answer = await call_generate(**arg, temperature=0)
+        states.append(answer)
+
+    tic = time.perf_counter()
+    # we always sequentially execute agent calls to maintain its dependency
+    if args.backend != "lmql":
+        for arg in tqdm(arguments):
+            get_one_answer(arg)
+    else:
+        import asyncio
+
+        loop = asyncio.get_event_loop()
+        for arg in tqdm(arguments):
+            loop.run_until_complete(get_one_answer_async(arg))
+    latency = time.perf_counter() - tic
+
+    print(f"Latency: {latency:.3f}")
+
+    # Write results
+    dump_state_text(f"tmp_output_{args.backend}.txt", states)
+
+    with open(args.result_file, "a") as fout:
+        value = {
+            "task": "Generative Agents",
+            "backend": args.backend,
+            "num_gpus": 1,
+            "latency": round(latency, 3),
+            # to pack weighted functions as a single agent
+            "num_requests": len(arguments) / len(mapping),
+            "other": {
+                "parallel": args.parallel,
+            },
+        }
+        fout.write(json.dumps(value) + "\n")
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--data-path", type=str, default="agent_calls.jsonl")
+    parser.add_argument("--num-events", type=int, default=10)
+    args = add_common_other_args_and_parse(parser)
+    main(args)