release initial code

Co-authored-by: Ying Sheng <sqy1415@gmail.com>
Co-authored-by: Liangsheng Yin <hnyls2002@gmail.com>
Co-authored-by: Zhiqiang Xie <xiezhq@stanford.edu>
Co-authored-by: parasol-aser <3848358+parasol-aser@users.noreply.github.com>
Co-authored-by: LiviaSun <33578456+ChuyueSun@users.noreply.github.com>
Co-authored-by: Cody Yu <hao.yu.cody@gmail.com>

benchmark/multi_document_qa/bench_sglang.py

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+import argparse
+import json
+import time
+
+import numpy as np
+import sglang as sgl
+from sglang.test.test_utils import add_common_sglang_args_and_parse, select_sglang_backend
+from sglang.utils import read_jsonl, dump_state_text
+
+
+@sgl.function
+def multi_document_qa(s, docs, question):
+    s += sgl.user_begin()
+    s += "Pleaes answer a question according to given documents.\n"
+    s += "Question:" + question + "Documents begin.\n"
+
+    forks = s.fork(len(docs))
+    forks += lambda i: docs[i]
+    forks.join("concate_and_append")
+
+    s += "\nDocuments end."
+    s += ("\n\nBased on the above documents, please answer this question:\n" + question + "\nAnswer in three words or fewer.")
+    s += sgl.user_end()
+    s += sgl.assistant(sgl.gen("answer", max_tokens=16))
+
+
+def main(args):
+    lines = read_jsonl(args.data_path)
+    l = lines[0]
+    arguments = []
+    labels = []
+    for i in range(len(l["questions"][:args.num_questions])):
+        arguments.append({
+            "docs": l["documents"][:10],
+            "question": l["questions"][i],
+        })
+        labels.append(l["answers"][i])
+
+    # Select backend
+    backend = select_sglang_backend(args)
+    sgl.set_default_backend(backend)
+
+    # Run requests
+    tic = time.time()
+    states = multi_document_qa.run_batch(
+        arguments, temperature=0, num_threads=args.parallel)
+    latency = time.time() - tic
+
+    # Compute accuracy 
+    print([s["answer"] for s in states])
+    correct = 0
+    for s, label in zip(states, labels):
+        answer = s["answer"].lower()
+        if all(x in answer for x in label.lower().split(" ")):
+            correct += 1
+    accuracy = correct / len(labels)
+    print(f"Accuracy: {accuracy:.3f}")
+    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": "multi_document_qa",
+            "backend": args.backend,
+            "num_gpus": 1,
+            "latency": round(latency, 3),
+            "num_requests": args.num_questions,
+            "accuracy": accuracy,
+            "other": {
+                "num_questions": args.num_questions,
+                "parallel": args.parallel,
+            }
+        }
+        fout.write(json.dumps(value) + "\n")
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--data-path", type=str, default="questions.jsonl")
+    parser.add_argument("--num-questions", type=int, default=100)
+    args = add_common_sglang_args_and_parse(parser)
+    main(args)