ok Merge branch 'master' of github.com:modelscope/modelscope into release/1.19

docker/Dockerfile.extra_install

@@ -138,4 +138,5 @@ RUN set -eux; \
         pip --version
 # end of install python
 
-RUN pip install tf-keras -i https://mirrors.aliyun.com/pypi/simple
+RUN pip install tensorflow-cpu==2.16.1
+RUN pip install tf-keras==2.16.0 --no-dependencies

docker/Dockerfile.ubuntu

@@ -46,7 +46,7 @@ RUN cd /tmp && GIT_LFS_SKIP_SMUDGE=1 git clone -b {swift_branch}  --single-branc
 
 RUN pip install --no-cache-dir torch=={torch_version} torchvision=={torchvision_version} torchaudio=={torchaudio_version} {index_url}
 
-RUN pip install --no-cache-dir transformers -U
+RUN pip install --no-cache-dir transformers -U huggingface-hub==0.25.0
 
 RUN pip config set global.index-url https://mirrors.aliyun.com/pypi/simple && \
     pip config set install.trusted-host mirrors.aliyun.com && \
@@ -56,4 +56,4 @@ ENV SETUPTOOLS_USE_DISTUTILS=stdlib
 ENV VLLM_USE_MODELSCOPE=True
 ENV LMDEPLOY_USE_MODELSCOPE=True
 ENV MODELSCOPE_CACHE=/mnt/workspace/.cache/modelscope
-CMD ["bash"]
+SHELL ["/bin/bash", "-c"]

modelscope/pipelines/base.py

@@ -481,7 +481,10 @@ class DistributedPipeline(Pipeline):
 
     def __del__(self):
         if hasattr(self, 'model_pool') and self.model_pool is not None:
-            self.model_pool.terminate()
+            try:
+                self.model_pool.terminate()
+            except AttributeError:
+                pass
 
     def __getstate__(self):
         self_dict = self.__dict__.copy()

requirements/nlp.txt

@@ -17,7 +17,7 @@ sacremoses>=0.0.41
 scikit_learn
 sentencepiece
 seqeval
-spacy>=2.3.5
+spacy>=2.3.5,<=3.7.0
 stanza
 subword_nmt>=0.3.8
 termcolor