164 lines
4.9 KiB
Python
164 lines
4.9 KiB
Python
"""
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python3 -m unittest test_srt_endpoint.TestSRTEndpoint.test_simple_decode
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python3 -m unittest test_srt_endpoint.TestSRTEndpoint.test_logprob_with_chunked_prefill
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"""
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import json
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import unittest
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import requests
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from sglang.srt.utils import kill_child_process
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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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class TestSRTEndpoint(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = DEFAULT_SMALL_MODEL_NAME_FOR_TEST
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cls.base_url = DEFAULT_URL_FOR_TEST
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cls.process = popen_launch_server(
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cls.model, cls.base_url, timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH
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)
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@classmethod
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def tearDownClass(cls):
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kill_child_process(cls.process.pid, include_self=True)
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def run_decode(
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self,
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return_logprob=False,
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top_logprobs_num=0,
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return_text=False,
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n=1,
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stream=False,
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batch=False,
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):
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if batch:
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text = ["The capital of France is"]
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else:
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text = "The capital of France is"
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response = requests.post(
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self.base_url + "/generate",
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json={
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"text": text,
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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": 16,
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"n": n,
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},
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"stream": stream,
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"return_logprob": return_logprob,
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"top_logprobs_num": top_logprobs_num,
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"return_text_in_logprobs": return_text,
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"logprob_start_len": 0,
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},
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)
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if not stream:
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response_json = response.json()
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else:
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response_json = []
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for line in response.iter_lines():
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if line.startswith(b"data: ") and line[6:] != b"[DONE]":
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response_json.append(json.loads(line[6:]))
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print(json.dumps(response_json, indent=2))
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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_simple_decode_batch(self):
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self.run_decode(batch=True)
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def test_parallel_sample(self):
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self.run_decode(n=3)
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def test_parallel_sample_stream(self):
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self.run_decode(n=3, stream=True)
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def test_logprob(self):
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self.run_decode(
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return_logprob=True,
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top_logprobs_num=5,
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return_text=True,
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)
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def test_logprob_start_len(self):
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logprob_start_len = 4
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new_tokens = 4
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prompts = [
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"I have a very good idea on",
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"Today is a sunndy day and",
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]
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response = requests.post(
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self.base_url + "/generate",
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json={
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"text": prompts,
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"sampling_params": {
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"temperature": 0,
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"max_new_tokens": new_tokens,
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},
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"return_logprob": True,
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"top_logprobs_num": 5,
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"return_text_in_logprobs": True,
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"logprob_start_len": logprob_start_len,
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},
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)
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response_json = response.json()
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print(json.dumps(response_json, indent=2))
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for i, res in enumerate(response_json):
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self.assertEqual(
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res["meta_info"]["prompt_tokens"],
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logprob_start_len + 1 + len(res["meta_info"]["input_token_logprobs"]),
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)
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assert prompts[i].endswith(
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"".join([x[-1] for x in res["meta_info"]["input_token_logprobs"]])
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)
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self.assertEqual(res["meta_info"]["completion_tokens"], new_tokens)
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self.assertEqual(len(res["meta_info"]["output_token_logprobs"]), new_tokens)
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self.assertEqual(
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res["text"],
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"".join([x[-1] for x in res["meta_info"]["output_token_logprobs"]]),
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)
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def test_logprob_with_chunked_prefill(self):
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new_tokens = 4
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prompts = "I have a very good idea on this. " * 8000
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response = requests.post(
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self.base_url + "/generate",
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json={
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"text": prompts,
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"sampling_params": {
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"temperature": 0,
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"max_new_tokens": new_tokens,
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},
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"return_logprob": True,
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"logprob_start_len": -1,
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},
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)
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response_json = response.json()
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print(json.dumps(response_json, indent=2))
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res = response_json
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self.assertEqual(res["meta_info"]["completion_tokens"], new_tokens)
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self.assertEqual(len(res["meta_info"]["output_token_logprobs"]), new_tokens)
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def test_get_memory_pool_size(self):
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response = requests.post(self.base_url + "/get_memory_pool_size")
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self.assertIsInstance(response.json(), int)
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if __name__ == "__main__":
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unittest.main()
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