132 lines
4.0 KiB
Python
132 lines
4.0 KiB
Python
import json
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import unittest
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import requests
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from transformers import AutoTokenizer
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from sglang.srt.utils import kill_process_tree
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from sglang.test.test_utils import (
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DEFAULT_SMALL_MODEL_NAME_FOR_TEST,
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DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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DEFAULT_URL_FOR_TEST,
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popen_launch_server,
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)
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_server_process = None
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_base_url = None
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_tokenizer = None
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def setUpModule():
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"""
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Launch the server once before all tests and initialize the tokenizer.
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"""
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global _server_process, _base_url, _tokenizer
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_server_process = popen_launch_server(
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DEFAULT_SMALL_MODEL_NAME_FOR_TEST,
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DEFAULT_URL_FOR_TEST,
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timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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other_args=["--skip-tokenizer-init"],
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)
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_base_url = DEFAULT_URL_FOR_TEST
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_tokenizer = AutoTokenizer.from_pretrained(
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DEFAULT_SMALL_MODEL_NAME_FOR_TEST, use_fast=False
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)
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print(">>> setUpModule: Server launched, tokenizer ready")
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def tearDownModule():
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"""
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Terminate the server once after all tests have completed.
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"""
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global _server_process
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if _server_process is not None:
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kill_process_tree(_server_process.pid)
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_server_process = None
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print(">>> tearDownModule: Server terminated")
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class TestSkipTokenizerInit(unittest.TestCase):
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def run_decode(
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self,
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prompt_text="The capital of France is",
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max_new_tokens=32,
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return_logprob=False,
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top_logprobs_num=0,
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n=1,
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):
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input_ids = _tokenizer(prompt_text, return_tensors="pt")["input_ids"][
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0
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].tolist()
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response = requests.post(
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_base_url + "/generate",
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json={
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"input_ids": input_ids,
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"sampling_params": {
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"temperature": 0 if n == 1 else 0.5,
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"max_new_tokens": max_new_tokens,
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"n": n,
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"stop_token_ids": [_tokenizer.eos_token_id],
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},
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"stream": False,
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"return_logprob": return_logprob,
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"top_logprobs_num": top_logprobs_num,
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"logprob_start_len": 0,
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},
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)
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ret = response.json()
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print(json.dumps(ret, indent=2))
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def assert_one_item(item):
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if item["meta_info"]["finish_reason"]["type"] == "stop":
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self.assertEqual(
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item["meta_info"]["finish_reason"]["matched"],
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_tokenizer.eos_token_id,
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)
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elif item["meta_info"]["finish_reason"]["type"] == "length":
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self.assertEqual(
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len(item["token_ids"]), item["meta_info"]["completion_tokens"]
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)
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self.assertEqual(len(item["token_ids"]), max_new_tokens)
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self.assertEqual(item["meta_info"]["prompt_tokens"], len(input_ids))
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if return_logprob:
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self.assertEqual(
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len(item["meta_info"]["input_token_logprobs"]),
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len(input_ids),
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f'{len(item["meta_info"]["input_token_logprobs"])} mismatch with {len(input_ids)}',
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)
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self.assertEqual(
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len(item["meta_info"]["output_token_logprobs"]),
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max_new_tokens,
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)
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# Determine whether to assert a single item or multiple items based on n
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if n == 1:
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assert_one_item(ret)
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else:
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self.assertEqual(len(ret), n)
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for i in range(n):
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assert_one_item(ret[i])
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print("=" * 100)
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def test_simple_decode(self):
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self.run_decode()
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def test_parallel_sample(self):
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self.run_decode(n=3)
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def test_logprob(self):
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for top_logprobs_num in [0, 3]:
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self.run_decode(return_logprob=True, top_logprobs_num=top_logprobs_num)
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def test_eos_behavior(self):
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self.run_decode(max_new_tokens=256)
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if __name__ == "__main__":
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unittest.main()
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