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[Backport] Docker fixes from release/1.38 (#1735)

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* Upgrade numpy to 2.x for 1.38 Docker images

- Replace deprecated numpy aliases (np.math.ceil → math.ceil, np.Inf → np.inf)
- Upgrade Docker constraints: numpy>=2.0, cython>=3.0, remove scipy upper bound

* Add ipywidgets dependency to Docker images

* update docker

* fix

* fix

* fix

* fix cpu image

* fix(docker): force numpy>=2.0 after evalscope install

ms-opencompass pulls numpy<2.0, downgrading numpy from 2.x to 1.26.4.
Force reinstall numpy>=2.0 after pip install .[eval] to restore it.

* add metax dockerfile and its requirements for ms-swift 4.2.x (#1734)

* Update npu dockerfile (#1736)

* fix(docker): remove unrelated added docker files

---------

Co-authored-by: Jintao Huang <huangjintao.hjt@alibaba-inc.com>
Co-authored-by: dwd <dwd1044898101@gmail.com>
Co-authored-by: addsubmuldiv <zyh13227@163.com>
This commit is contained in:
Yunlin Mao
2026-06-26 17:10:49 +08:00
committed by GitHub
parent 39583ec639
commit 020cad8229
8 changed files with 47 additions and 35 deletions
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19
docker/Dockerfile.ubuntu
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@@ -25,15 +25,16 @@ RUN pip uninstall ms-swift modelscope -y && pip --no-cache-dir install pip==23.*
if [ "$INSTALL_MS_DEPS" = "True" ]; then \
pip --no-cache-dir install omegaconf==2.0.6 && \
pip install 'editdistance==0.8.1' && \
pip install --no-cache-dir 'cython<=0.29.36' versioneer 'numpy<2.0' && \
pip install --no-cache-dir 'cython>=3.0' versioneer 'numpy>=2.0' && \
pip install --no-cache-dir -r /var/modelscope/framework.txt && \
pip install --no-cache-dir -r /var/modelscope/audio.txt -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html && \
pip install --no-cache-dir -r /var/modelscope/tests.txt && \
pip install --no-cache-dir -r /var/modelscope/server.txt && \
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 && \
pip install --no-cache-dir 'scipy<1.13.0' && \
pip install --no-cache-dir 'scipy' && \
pip install --no-cache-dir funtextprocessing typeguard==2.13.3 scikit-learn -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html && \
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 && \
pip install --no-cache-dir ipywidgets && \
pip install --no-cache-dir 'blobfile>=1.0.5' && \
pip uninstall MinDAEC -y && \
pip install https://modelscope.oss-cn-beijing.aliyuncs.com/releases/dependencies/MinDAEC-0.0.2-py3-none-any.whl && \
@@ -51,7 +52,9 @@ RUN bash /tmp/install.sh {version_args} && \
pip install --no-cache-dir -U qwen_vl_utils qwen_omni_utils librosa timm transformers accelerate peft trl safetensors && \
cd /tmp && GIT_LFS_SKIP_SMUDGE=1 git clone -b {swift_branch} --single-branch https://github.com/modelscope/ms-swift.git && \
cd ms-swift && pip install .[llm] && \
pip install .[eval] && pip install evalscope -U --no-dependencies && pip install ms-agent -U --no-dependencies && \
pip install .[eval] && pip install evalscope -U --no-dependencies && \
pip install --no-cache-dir "numpy>=2.0" --force-reinstall --no-deps && \
pip install ms-agent -U --no-dependencies && \
cd / && rm -fr /tmp/ms-swift && pip cache purge; \
cd /tmp && GIT_LFS_SKIP_SMUDGE=1 git clone -b {modelscope_branch} --single-branch https://github.com/modelscope/modelscope.git && \
cd modelscope && pip install . -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html && \
@@ -66,16 +69,16 @@ RUN bash /tmp/install.sh {version_args} && \
RUN if [ "$IMAGE_TYPE" = "gpu" ]; then \
pip install --no-cache-dir math_verify "gradio<5.33" "deepspeed<0.18" ray -U && \
pip install --no-cache-dir liger_kernel wandb swanlab nvitop pre-commit "transformers" "trl<0.25" "peft<0.18" huggingface-hub -U && \
pip install --no-cache-dir math_verify "gradio<5.33" "deepspeed<0.19" ray -U && \
pip install --no-cache-dir mcore-bridge -i https://pypi.org/simple/ -U && \
pip install --no-cache-dir liger_kernel wandb swanlab nvitop pre-commit "transformers<5.9" "trl<1.0" "peft<0.20" huggingface-hub -U && \
pip install --no-cache-dir --no-build-isolation transformer_engine[pytorch]; \
cd /tmp && GIT_LFS_SKIP_SMUDGE=1 git clone https://github.com/NVIDIA/apex && \
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" ./ && \
cd / && rm -fr /tmp/apex && pip cache purge; \
pip install --no-cache-dir "megatron-core==0.15.*"; \
pip uninstall autoawq -y; \
pip install --no-cache-dir "megatron-core==0.16.*" -U; \
elif [ "$IMAGE_TYPE" = "cpu" ]; then \
pip install --no-cache-dir huggingface-hub transformers peft diffusers -U; \
pip install --no-cache-dir huggingface-hub "transformers<5.9" peft diffusers -U; \
else \
pip install "transformers<5.0" "tokenizers<0.22" "trl<0.23" "diffusers<0.35" --no-dependencies; \
fi