在Kaggle上安装paddlex包失败

[2584191127]

描述问题

在kaggle notebook中安装paddlex时出现报错,报错很长所以只有一部分了

Collecting paddlex==2.1.0
  Using cached paddlex-2.1.0-py3-none-any.whl.metadata (907 bytes)
Requirement already satisfied: pycocotools in /opt/conda/lib/python3.10/site-packages (from paddlex==2.1.0) (2.0.7)
Requirement already satisfied: pyyaml in /opt/conda/lib/python3.10/site-packages (from paddlex==2.1.0) (6.0.1)
Requirement already satisfied: colorama in /opt/conda/lib/python3.10/site-packages (from paddlex==2.1.0) (0.4.6)
Requirement already satisfied: tqdm in /opt/conda/lib/python3.10/site-packages (from paddlex==2.1.0) (4.66.1)
Collecting paddleslim==2.2.1 (from paddlex==2.1.0)
  Using cached paddleslim-2.2.1-py3-none-any.whl.metadata (1.3 kB)
Collecting visualdl>=2.2.2 (from paddlex==2.1.0)
  Using cached visualdl-2.5.3-py3-none-any.whl.metadata (25 kB)
Requirement already satisfied: shapely>=1.7.0 in /opt/conda/lib/python3.10/site-packages (from paddlex==2.1.0) (1.8.5.post1)
Requirement already satisfied: opencv-python in /opt/conda/lib/python3.10/site-packages (from paddlex==2.1.0) (4.9.0.80)
Requirement already satisfied: scipy in /opt/conda/lib/python3.10/site-packages (from paddlex==2.1.0) (1.11.4)
Collecting lap (from paddlex==2.1.0)
  Using cached lap-0.4.0.tar.gz (1.5 MB)
  Preparing metadata (setup.py) ... done
Collecting motmetrics (from paddlex==2.1.0)
  Using cached motmetrics-1.4.0-py3-none-any.whl.metadata (20 kB)
Collecting scikit-learn==0.23.2 (from paddlex==2.1.0)
  Using cached scikit-learn-0.23.2.tar.gz (7.2 MB)
  Installing build dependencies ... error
  error: subprocess-exited-with-error
  
  × pip subprocess to install build dependencies did not run successfully.
  │ exit code: 1
  ╰─> [3012 lines of output]
      Ignoring numpy: markers 'python_version == "3.6" and platform_system != "AIX" and platform_python_implementation == "CPython"' don't match your environment
      Ignoring numpy: markers 'python_version == "3.6" and platform_system != "AIX" and platform_python_implementation != "CPython"' don't match your environment
      Ignoring numpy: markers 'python_version == "3.7" and platform_system != "AIX"' don't match your environment
      Ignoring numpy: markers 'python_version == "3.6" and platform_system == "AIX"' don't match your environment
      Ignoring numpy: markers 'python_version == "3.7" and platform_system == "AIX"' don't match your environment
      Ignoring numpy: markers 'python_version >= "3.8" and platform_system == "AIX"' don't match your environment
      Collecting setuptools
        Using cached setuptools-69.2.0-py3-none-any.whl.metadata (6.3 kB)
      Collecting wheel
        Using cached wheel-0.43.0-py3-none-any.whl.metadata (2.2 kB)
      Collecting Cython>=0.28.5
        Using cached Cython-3.0.9-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.2 kB)
      Collecting numpy==1.17.3
        Using cached numpy-1.17.3.zip (6.4 MB)
        Preparing metadata (setup.py): started
        Preparing metadata (setup.py): finished with status 'done'
      Collecting scipy>=0.19.1
        Using cached scipy-1.12.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (60 kB)
      INFO: pip is looking at multiple versions of scipy to determine which version is compatible with other requirements. This could take a while.
        Using cached scipy-1.11.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (60 kB)
        Using cached scipy-1.11.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (60 kB)
        Using cached scipy-1.11.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (59 kB)
        Using cached scipy-1.11.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (59 kB)
        Using cached scipy-1.10.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (58 kB)
        Using cached scipy-1.10.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (58 kB)
        Using cached scipy-1.9.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (58 kB)
      INFO: pip is still looking at multiple versions of scipy to determine which version is compatible with other requirements. This could take a while.

            error: Command "gcc -pthread -B /opt/conda/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/include -fPIC -O2 -isystem /opt/conda/include -fPIC -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DSCIPY_MKL_H -DHAVE_CBLAS -I/usr/local/include -I/usr/include -I/opt/conda/include -Ibuild/src.linux-x86_64-3.1/numpy/core/src/umath -Ibuild/src.linux-x86_64-3.1/numpy/core/src/npymath -Ibuild/src.linux-x86_64-3.1/numpy/core/src/common -Inumpy/core/include -Ibuild/src.linux-x86_64-3.1/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/opt/conda/include/python3.10 -Ibuild/src.linux-x86_64-3.1/numpy/core/src/common -Ibuild/src.linux-x86_64-3.1/numpy/core/src/npymath -Ibuild/src.linux-x86_64-3.1/numpy/core/src/common -Ibuild/src.linux-x86_64-3.1/numpy/core/src/npymath -c build/src.linux-x86_64-3.1/numpy/core/src/multiarray/scalartypes.c -o build/temp.linux-x86_64-cpython-310/build/src.linux-x86_64-3.1/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.linux-x86_64-cpython-310/build/src.linux-x86_64-3.1/numpy/core/src/multiarray/scalartypes.o.d" failed with exit status 1
            [end of output]
      
        note: This error originates from a subprocess, and is likely not a problem with pip.
        ERROR: Failed building wheel for numpy
        Running setup.py clean for numpy
        error: subprocess-exited-with-error
      
        × python setup.py clean did not run successfully.
        │ exit code: 1
        ╰─> [10 lines of output]
            Running from numpy source directory.
           
            `setup.py clean` is not supported, use one of the following instead:
           
              - `git clean -xdf` (cleans all files)
              - `git clean -Xdf` (cleans all versioned files, doesn't touch
                                  files that aren't checked into the git repo)
           
            Add `--force` to your command to use it anyway if you must (unsupported).
           
            [end of output]
      
        note: This error originates from a subprocess, and is likely not a problem with pip.
        ERROR: Failed cleaning build dir for numpy
      Failed to build numpy
      ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects
      
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
error: subprocess-exited-with-error

× pip subprocess to install build dependencies did not run successfully.
│ exit code: 1
╰─> See above for output.

note: This error originates from a subprocess, and is likely not a problem with pip.

复现

kaggle上运行的代码

!python -m pip install paddlepaddle-gpu==2.6.0.post120 -f https://www.paddlepaddle.org.cn/whl/linux/mkl/avx/stable.html
!pip install cython  
!pip install pycocotools
!pip install paddlex==2.1.0

环境

Kaggle平台 GPU P100

Python 3.10.13

GPU P100, CUDA Version: 12.2

[cuicheng01]

建议降低cuda版本和python版本试试