support models from www.modelscope.cn (#994)

Co-authored-by: mulin.lyh <mulin.lyh@taobao.com>
This commit is contained in:
liuyhwangyh
2024-08-09 17:52:14 +08:00
committed by GitHub
parent 95a28019ba
commit b91a4cb1b1
5 changed files with 84 additions and 0 deletions

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@@ -10,6 +10,7 @@ suites = {
"test_vision_openai_server.py",
"test_chunked_prefill.py",
"test_torch_compile.py",
"test_models_from_modelscope.py",
"models/test_generation_models.py",
"models/test_embedding_models.py",
"sampling/penaltylib",

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@@ -0,0 +1,47 @@
import os
import shutil
import subprocess
import unittest
from unittest import mock
from sglang.srt.utils import prepare_model, prepare_tokenizer
class TestDownloadFromModelScope(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.model = "iic/nlp_lstmcrf_word-segmentation_chinese-news"
stat, output = subprocess.getstatusoutput("pip install modelscope")
cls.with_modelscope_environ = {k: v for k, v in os.environ.items()}
cls.with_modelscope_environ["SGLANG_USE_MODELSCOPE"] = "True"
@classmethod
def tearDownClass(cls):
pass
def test_prepare_model(self):
from modelscope.utils.file_utils import get_model_cache_root
model_cache_root = get_model_cache_root()
if os.path.exists(model_cache_root):
shutil.rmtree(model_cache_root)
with mock.patch.dict(os.environ, self.with_modelscope_environ, clear=True):
model_path = prepare_model(self.model)
assert os.path.exists(os.path.join(model_path, "pytorch_model.bin"))
def test_prepare_tokenizer(self):
from modelscope.utils.file_utils import get_model_cache_root
model_cache_root = get_model_cache_root()
if os.path.exists(model_cache_root):
shutil.rmtree(model_cache_root)
with mock.patch.dict(os.environ, self.with_modelscope_environ, clear=True):
tokenizer_path = prepare_tokenizer(self.model)
assert not os.path.exists(os.path.join(tokenizer_path, "pytorch_model.bin"))
assert os.path.exists(os.path.join(tokenizer_path, "config.json"))
if __name__ == "__main__":
unittest.main(warnings="ignore")