Fix trust_remote_code (#1462)

1. Set `trust_remote_code` to `True` by default in datasets module
2. Set `trust_remote_code` to `True` by default in PolyLM pipeline

.dev_scripts/ci_container_test.sh

@@ -21,13 +21,7 @@ if [ "$MODELSCOPE_SDK_DEBUG" == "True" ]; then
         fi
     fi
 
-    pip install -r  requirements/framework.txt -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html
+    pip install -U sentence_transformers
-    pip install -r requirements/audio.txt -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html
-    pip install -r  requirements/cv.txt -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html
-    pip install -r  requirements/multi-modal.txt -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html
-    pip install -r  requirements/nlp.txt -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html
-    pip install -r  requirements/science.txt -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html
-
     python -m spacy download en_core_web_sm
     pip install faiss-gpu
     pip install healpy

modelscope/models/audio/tts/sambert_hifi.py

@@ -5,6 +5,7 @@ from __future__ import (absolute_import, division, print_function,
 import datetime
 import os
 import shutil
+import sys
 import wave
 import zipfile
 
@@ -60,6 +61,8 @@ class SambertHifigan(Model):
             raise TtsVoiceNotExistsException(
                 'modelscope error: voices is empty in voices.json')
         # initialize frontend
+        if sys.version_info >= (3, 11):
+            raise ImportError('Python version needs to be <= 3.10')
         import ttsfrd
         frontend = ttsfrd.TtsFrontendEngine()
         zip_file = os.path.join(model_dir, 'resource.zip')

modelscope/models/nlp/polylm/text_generation.py

@@ -9,7 +9,6 @@ from modelscope.metainfo import Models
 from modelscope.models.base import Tensor, TorchModel
 from modelscope.models.builder import MODELS
 from modelscope.utils.constant import Tasks
-from modelscope.utils.hub import read_config
 from modelscope.utils.logger import get_logger
 from modelscope.utils.streaming_output import StreamingOutputMixin
 
@@ -30,11 +29,17 @@ class PolyLMForTextGeneration(TorchModel, StreamingOutputMixin):
         super().__init__(model_dir, *args, **kwargs)
         self.tokenizer = AutoTokenizer.from_pretrained(
             model_dir, legacy=False, use_fast=False)
-        logger.warning(
+
+        self.check_trust_remote_code(
+            info_str=
             f'Use trust_remote_code=True. Will invoke codes from {model_dir}. Please make sure '
-            'that you can trust the external codes.')
+            'that you can trust the external codes.',
+            model_dir=model_dir)
+
         self.model = AutoModelForCausalLM.from_pretrained(
-            model_dir, device_map='auto', trust_remote_code=True)
+            model_dir,
+            device_map='auto',
+            trust_remote_code=self.trust_remote_code)
         self.model.eval()
 
     def forward(self, input: Dict[str, Tensor], **kwargs) -> Dict[str, Tensor]:

modelscope/msdatasets/ms_dataset.py

@@ -171,7 +171,7 @@ class MsDataset:
         custom_cfg: Optional[Config] = Config(),
         token: Optional[str] = None,
         dataset_info_only: Optional[bool] = False,
-        trust_remote_code: Optional[bool] = True,
+        trust_remote_code: Optional[bool] = False,
         **config_kwargs,
     ) -> Union[dict, 'MsDataset', NativeIterableDataset]:
         """Load a MsDataset from the ModelScope Hub, Hugging Face Hub, urls, or a local dataset.
@@ -202,7 +202,7 @@ class MsDataset:
                                            see https://modelscope.cn/docs/Configuration%E8%AF%A6%E8%A7%A3
                 token (str, Optional): SDK token of ModelScope.
                 dataset_info_only (bool, Optional): If set to True, only return the dataset config and info (dict).
-                trust_remote_code (bool, Optional): If set to True, trust the remote code.
+                trust_remote_code (bool, Optional): If set to True, trust the remote code. Default to `False`.
                 **config_kwargs (additional keyword arguments): Keyword arguments to be passed
 
             Returns:

modelscope/msdatasets/utils/hf_datasets_util.py

@@ -940,7 +940,7 @@ class DatasetsWrapperHF:
         streaming: bool = False,
         num_proc: Optional[int] = None,
         storage_options: Optional[Dict] = None,
-        trust_remote_code: bool = True,
+        trust_remote_code: bool = False,
         dataset_info_only: Optional[bool] = False,
         **config_kwargs,
     ) -> Union[DatasetDict, Dataset, IterableDatasetDict, IterableDataset,

tests/trainers/audio/test_tts_trainer.py

@@ -45,7 +45,9 @@ class TestTtsTrainer(unittest.TestCase):
         shutil.rmtree(self.tmp_dir, ignore_errors=True)
         super().tearDown()
 
-    @unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
+    @unittest.skipUnless(
+        test_level() >= 2,
+        'skip test because the ci test python version is higher then 3.10')
     def test_trainer(self):
         kwargs = dict(
             model=self.model_id,