[Minor] Many cleanup (#1357)

python/sglang/test/few_shot_gsm8k.py

@@ -0,0 +1,132 @@
+"""
+Run few-shot GSM-8K evaluation.
+
+Usage:
+python3 -m sglang.test.few_shot_gsm8k --num-questions 200
+"""
+
+import argparse
+import ast
+import re
+import time
+
+import numpy as np
+
+from sglang.api import set_default_backend
+from sglang.lang.backend.runtime_endpoint import RuntimeEndpoint
+from sglang.utils import download_and_cache_file, dump_state_text, read_jsonl
+
+INVALID = -9999999
+
+
+def get_one_example(lines, i, include_answer):
+    ret = "Question: " + lines[i]["question"] + "\nAnswer:"
+    if include_answer:
+        ret += " " + lines[i]["answer"]
+    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 get_answer_value(answer_str):
+    answer_str = answer_str.replace(",", "")
+    numbers = re.findall(r"\d+", answer_str)
+    if len(numbers) < 1:
+        return INVALID
+    try:
+        return ast.literal_eval(numbers[-1])
+    except SyntaxError:
+        return INVALID
+
+
+def main(args):
+    # Select backend
+    set_default_backend(RuntimeEndpoint(f"{args.host}:{args.port}"))
+
+    # Read data
+    url = "https://raw.githubusercontent.com/openai/grade-school-math/master/grade_school_math/data/test.jsonl"
+    filename = download_and_cache_file(url)
+    lines = list(read_jsonl(filename))
+
+    # Construct prompts
+    num_questions = args.num_questions
+    num_shots = args.num_shots
+    few_shot_examples = get_few_shot_examples(lines, num_shots)
+
+    questions = []
+    labels = []
+    for i in range(len(lines[:num_questions])):
+        questions.append(get_one_example(lines, i, False))
+        labels.append(get_answer_value(lines[i]["answer"]))
+    assert all(l != INVALID for l in labels)
+    arguments = [{"question": q} for q in questions]
+
+    #####################################
+    ######### SGL Program Begin #########
+    #####################################
+
+    import sglang as sgl
+
+    @sgl.function
+    def few_shot_gsm8k(s, question):
+        s += few_shot_examples + question
+        s += sgl.gen(
+            "answer", max_tokens=512, stop=["Question", "Assistant:", "<|separator|>"]
+        )
+
+    #####################################
+    ########## SGL Program End ##########
+    #####################################
+
+    # Run requests
+    tic = time.time()
+    states = few_shot_gsm8k.run_batch(
+        arguments,
+        temperature=0,
+        num_threads=args.parallel,
+        progress_bar=True,
+    )
+    latency = time.time() - tic
+
+    preds = []
+    for i in range(len(states)):
+        preds.append(get_answer_value(states[i]["answer"]))
+
+    # print(f"{preds=}")
+    # print(f"{labels=}")
+
+    # Compute accuracy
+    acc = np.mean(np.array(preds) == np.array(labels))
+    invalid = np.mean(np.array(preds) == INVALID)
+
+    # Compute speed
+    num_output_tokens = sum(
+        s.get_meta_info("answer")["completion_tokens"] for s in states
+    )
+    output_throughput = num_output_tokens / latency
+
+    # Print results
+    print(f"Accuracy: {acc:.3f}")
+    print(f"Invalid: {invalid:.3f}")
+    print(f"Latency: {latency:.3f} s")
+    print(f"Output throughput: {output_throughput:.3f} token/s")
+
+    # Dump results
+    dump_state_text("tmp_output_gsm8k.txt", states)
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--num-shots", type=int, default=5)
+    parser.add_argument("--data-path", type=str, default="test.jsonl")
+    parser.add_argument("--num-questions", type=int, default=200)
+    parser.add_argument("--parallel", type=int, default=128)
+    parser.add_argument("--host", type=str, default="http://127.0.0.1")
+    parser.add_argument("--port", type=int, default=30000)
+    args = parser.parse_args()
+    main(args)

python/sglang/test/test_programs.py

@@ -7,7 +7,7 @@ import time
 import numpy as np
 
 import sglang as sgl
-from sglang.utils import fetch_and_cache_jsonl
+from sglang.utils import download_and_cache_file, read_jsonl
 
 
 def test_few_shot_qa():
@@ -456,10 +456,6 @@ def test_chat_completion_speculative():
 def test_hellaswag_select():
     """Benchmark the accuracy of sgl.select on the HellaSwag dataset."""
 
-    url = "https://raw.githubusercontent.com/rowanz/hellaswag/master/data/hellaswag_val.jsonl"
-    lines = fetch_and_cache_jsonl(url)
-
-    # Construct prompts
     def get_one_example(lines, i, include_answer):
         ret = lines[i]["activity_label"] + ": " + lines[i]["ctx"] + " "
         if include_answer:
@@ -472,6 +468,12 @@ def test_hellaswag_select():
             ret += get_one_example(lines, i, True) + "\n\n"
         return ret
 
+    # Read data
+    url = "https://raw.githubusercontent.com/rowanz/hellaswag/master/data/hellaswag_val.jsonl"
+    filename = download_and_cache_file(url)
+    lines = list(read_jsonl(filename))
+
+    # Construct prompts
     num_questions = 200
     num_shots = 20
     few_shot_examples = get_few_shot_examples(lines, num_shots)