adapt to sglang v0.5.2rc1 on dcu

benchmark/hellaswag/bench_sglang.py

@@ -0,0 +1,109 @@
+import argparse
+import json
+import os
+import time
+
+import numpy as np
+
+from sglang.lang.api import set_default_backend
+from sglang.test.test_utils import (
+    add_common_sglang_args_and_parse,
+    select_sglang_backend,
+)
+from sglang.utils import download_and_cache_file, read_jsonl
+
+
+def get_one_example(lines, i, include_answer):
+    ret = lines[i]["activity_label"] + ": " + lines[i]["ctx"] + " "
+    if include_answer:
+        ret += lines[i]["endings"][lines[i]["label"]]
+    return ret
+
+
+def get_few_shot_examples(lines, k):
+    ret = ""
+    for i in range(k):
+        ret += get_one_example(lines, i, True) + "\n\n"
+    return ret
+
+
+def main(args):
+    # Select backend
+    set_default_backend(select_sglang_backend(args))
+
+    # Read data
+    data_path = args.data_path
+    url = "https://raw.githubusercontent.com/rowanz/hellaswag/master/data/hellaswag_val.jsonl"
+    if not os.path.isfile(data_path):
+        data_path = download_and_cache_file(url)
+    lines = list(read_jsonl(data_path))
+
+    # Construct prompts
+    num_questions = args.num_questions
+    num_shots = args.num_shots
+    few_shot_examples = get_few_shot_examples(lines, num_shots)
+
+    questions = []
+    choices = []
+    labels = []
+    for i in range(len(lines[:num_questions])):
+        questions.append(get_one_example(lines, i, False))
+        choices.append(lines[i]["endings"])
+        labels.append(lines[i]["label"])
+    arguments = [{"question": q, "choices": c} for q, c in zip(questions, choices)]
+
+    #####################################
+    ######### SGL Program Begin #########
+    #####################################
+
+    import sglang as sgl
+
+    @sgl.function
+    def few_shot_hellaswag(s, question, choices):
+        s += few_shot_examples + question
+        s += sgl.select("answer", choices=choices)
+
+    #####################################
+    ########## SGL Program End ##########
+    #####################################
+
+    # Run requests
+    tic = time.perf_counter()
+    rets = few_shot_hellaswag.run_batch(
+        arguments,
+        temperature=0,
+        num_threads=args.parallel,
+        progress_bar=True,
+    )
+    preds = [choices[i].index(rets[i]["answer"]) for i in range(len(rets))]
+    latency = time.perf_counter() - tic
+
+    # Compute accuracy
+    acc = np.mean(np.array(preds) == np.array(labels))
+    print(f"Latency: {latency:.3f}")
+    print(f"Accuracy: {acc:.3f}")
+
+    # Write results
+    with open(args.result_file, "a") as fout:
+        value = {
+            "task": "hellaswag",
+            "backend": args.backend,
+            "num_gpus": 1,
+            "latency": round(latency, 3),
+            "accuracy": round(acc, 3),
+            "num_requests": args.num_questions,
+            "other": {
+                "num_questions": args.num_questions,
+                "parallel": args.parallel,
+            },
+        }
+        fout.write(json.dumps(value) + "\n")
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--num-shots", type=int, default=20)
+    parser.add_argument("--data-path", type=str, default="hellaswag_val.jsonl")
+    parser.add_argument("--num-questions", type=int, default=200)
+    args = add_common_sglang_args_and_parse(parser)
+    main(args)