mirror of
https://github.com/modelscope/modelscope.git
synced 2026-07-09 20:09:17 +02:00
* refactor(hub): shim layer delegating to modelscope-hub - Replace hub/api.py (4674→250 lines) with shim inheriting LegacyHubApi - Replace hub/snapshot_download.py, callback.py with thin shims - Partial shim hub/file_download.py (retain http_get_file) - Shim hub/constants.py and errors.py with legacy aliases - Shim hub/git.py, repository.py, cache_manager.py, upload_*.py - Migrate CLI entry to modelscope_hub.cli.main:run_cmd - Adapt 6 CLI commands as modelscope_hub.cli_plugins - Delete redundant CLI files (download/upload/login/create/etc) - Add modelscope-hub>=0.2.0 dependency, Python>=3.10 - Add __getattr__ proxy for forward-compatible method access - Propagate timeout/max_retries to internal LegacyClient - Bridge MODELSCOPE_CREDENTIALS_PATH env var to HubConfig * fix lint: isort/yapf formatting + exclude hub/api.py from hooks * set modelscope-hub>=0.0.5 * remove unused code * refactor(hub): standardize token naming — git_token vs token Disambiguate git token and SDK/API token naming across the hub layer: - ModelScopeConfig: get_token/save_token → get_git_token/save_git_token (old names kept as deprecated aliases with DeprecationWarning) - GitCommandWrapper: rename token params to git_token in clone/push/config - Repository/DatasetRepository: auth_token → git_token (deprecated compat kept) - data_loader.py: update caller to use get_git_token() SDK token references (HubApi(token=...), get_cookies(access_token=...), commit_scheduler.token) remain unchanged as they correctly use `token` naming. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * remove(msdatasets): remove all Virgo-related implementation Remove the entire Virgo dataset subsystem which is no longer needed: - Remove VirgoDataset class and VirgoDownloader - Remove VirgoAuthConfig and VirgoDatasetConfig - Remove Hubs.virgo enum value - Remove fetch_virgo_meta from DataMetaManager - Remove download_virgo_files from DatasetContextConfig - Remove test_virgo_dataset.py test file - Clean up unused imports (pandas, MaxComputeUtil, valid_url, etc.) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat(hub): add OSS dataset operations and meta-file download to HubApi Add methods that msdatasets depends on but don't belong in modelscope_hub: - _legacy_request: internal helper combining legacy HTTP transport with application-level envelope validation (Code/Data/Message) - list_oss_dataset_objects: list OSS storage objects for a dataset - delete_oss_dataset_object / delete_oss_dataset_dir: delete OSS objects - fetch_meta_files_from_url: download and cache meta CSV/JSONL files Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix imports issue * fix: address PR review feedback - cli/plugins.py: change --yes and --all flags to action='store_true' - hub/git.py: replace os.linesep with .splitlines() for cross-platform safety - hub/__init__.py: use is_file() with fallback for robust credentials path detection * fix lint * update ms hub version * fix(ci): add PyPI official as fallback index for pip Aliyun mirror may lag behind PyPI for newly published packages, causing dependency resolution failures (e.g. modelscope-hub>=0.0.6). Add pypi.org/simple as extra-index-url so new versions are immediately available while keeping the Aliyun mirror as the primary source. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix UTs * remove unused UTs * fix ut * update modelscope-hub installation for source code * fix UT * fix uts * fix ut --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
96 lines
4.8 KiB
Docker
96 lines
4.8 KiB
Docker
FROM {base_image}
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ARG DEBIAN_FRONTEND=noninteractive
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ENV TZ=Asia/Shanghai
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ENV arch=x86_64
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COPY docker/scripts/modelscope_env_init.sh /usr/local/bin/ms_env_init.sh
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RUN apt-get update && \
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apt-get install -y libsox-dev unzip libaio-dev zip iputils-ping telnet sudo git net-tools zstd libzstd-dev && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/*
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{extra_content}
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COPY {meta_file} /tmp/install.sh
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ARG INSTALL_MS_DEPS={install_ms_deps}
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ARG IMAGE_TYPE={image_type}
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# install dependencies
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COPY requirements /var/modelscope
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RUN pip uninstall ms-swift modelscope -y && pip --no-cache-dir install pip==23.* -U && \
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if [ "$INSTALL_MS_DEPS" = "True" ]; then \
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pip --no-cache-dir install omegaconf==2.0.6 && \
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pip install 'editdistance==0.8.1' && \
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pip install --no-cache-dir 'cython<=0.29.36' versioneer 'numpy<2.0' && \
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pip install --no-cache-dir -r /var/modelscope/framework.txt && \
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pip install --no-cache-dir -r /var/modelscope/audio.txt -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html && \
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pip install --no-cache-dir -r /var/modelscope/tests.txt && \
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pip install --no-cache-dir -r /var/modelscope/server.txt && \
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pip install --no-cache-dir https://modelscope.oss-cn-beijing.aliyuncs.com/packages/imageio_ffmpeg-0.4.9-py3-none-any.whl --no-dependencies --force && \
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pip install --no-cache-dir 'scipy<1.13.0' && \
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pip install --no-cache-dir funtextprocessing typeguard==2.13.3 scikit-learn -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html && \
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pip install --no-cache-dir 'decord>=0.6.0' mpi4py paint_ldm ipykernel fasttext -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html && \
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pip install --no-cache-dir 'blobfile>=1.0.5' && \
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pip uninstall MinDAEC -y && \
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pip install https://modelscope.oss-cn-beijing.aliyuncs.com/releases/dependencies/MinDAEC-0.0.2-py3-none-any.whl && \
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pip cache purge; \
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else \
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pip install --no-cache-dir -r /var/modelscope/framework.txt && \
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pip cache purge; \
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fi
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ARG CUR_TIME={cur_time}
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RUN echo $CUR_TIME
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RUN bash /tmp/install.sh {version_args} && \
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pip install --no-cache-dir -U funasr scikit-learn && \
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pip install --no-cache-dir -U qwen_vl_utils qwen_omni_utils librosa timm transformers accelerate peft trl safetensors && \
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cd /tmp && GIT_LFS_SKIP_SMUDGE=1 git clone -b {swift_branch} --single-branch https://github.com/modelscope/ms-swift.git && \
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cd ms-swift && pip install .[llm] && \
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pip install .[eval] && pip install evalscope -U --no-dependencies && pip install ms-agent -U --no-dependencies && \
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cd / && rm -fr /tmp/ms-swift && pip cache purge; \
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cd /tmp && GIT_LFS_SKIP_SMUDGE=1 git clone -b {modelscope_branch} --single-branch https://github.com/modelscope/modelscope.git && \
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cd modelscope && pip install . -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html && \
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cd / && rm -fr /tmp/modelscope && pip cache purge; \
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pip install --no-cache-dir torch=={torch_version} torchvision=={torchvision_version} torchaudio=={torchaudio_version} {index_url} && \
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pip install --no-cache-dir transformers diffusers 'timm>=0.9.0' && pip cache purge; \
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pip install --no-cache-dir omegaconf==2.3.0 && pip cache purge; \
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pip config set global.index-url https://mirrors.aliyun.com/pypi/simple && \
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pip config set global.extra-index-url https://pypi.org/simple && \
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pip config set install.trusted-host mirrors.aliyun.com && \
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cp /tmp/resources/ubuntu2204.aliyun /etc/apt/sources.list
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RUN if [ "$IMAGE_TYPE" = "gpu" ]; then \
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pip install --no-cache-dir math_verify "gradio<5.33" "deepspeed<0.18" ray -U && \
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pip install --no-cache-dir liger_kernel wandb swanlab nvitop pre-commit "transformers" "trl<0.25" "peft<0.18" huggingface-hub -U && \
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pip install --no-cache-dir --no-build-isolation transformer_engine[pytorch]; \
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cd /tmp && GIT_LFS_SKIP_SMUDGE=1 git clone https://github.com/NVIDIA/apex && \
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cd apex && pip install -v --disable-pip-version-check --no-cache-dir --no-build-isolation --config-settings "--build-option=--cpp_ext" --config-settings "--build-option=--cuda_ext" ./ && \
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cd / && rm -fr /tmp/apex && pip cache purge; \
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pip install --no-cache-dir "megatron-core==0.15.*"; \
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pip uninstall autoawq -y; \
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elif [ "$IMAGE_TYPE" = "cpu" ]; then \
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pip install --no-cache-dir huggingface-hub transformers peft diffusers -U; \
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else \
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pip install "transformers<5.0" "tokenizers<0.22" "trl<0.23" "diffusers<0.35" --no-dependencies; \
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fi
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# install nvm and set node version to 18
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ENV NVM_DIR=/root/.nvm
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RUN curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.40.3/install.sh | bash && \
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. $NVM_DIR/nvm.sh && \
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nvm install 22 && \
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nvm use 22
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RUN rm -f /etc/apt/sources.list.d/cuda-*.list && apt-get update
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ENV VLLM_USE_MODELSCOPE=True
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ENV LMDEPLOY_USE_MODELSCOPE=True
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ENV MODELSCOPE_CACHE=/mnt/workspace/.cache/modelscope/hub
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SHELL ["/bin/bash", "-c"]
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