CODEWITHSUNDEEP
pythoncupy
Asuka Langley Soryu
Asuka Langley Soryu

Reputation: 21

How do I fix the 'ERROR: Could not build wheels for cupy' when installing with pip?

ERROR: Could not build wheels for cupy, which is required to install pyproject.toml-based projects

$ pip install cupy
Collecting cupy
  Using cached cupy-12.0.0.tar.gz (2.0 MB)
  Preparing metadata (setup.py) ... done
Requirement already satisfied: numpy<1.27,>=1.20 in c:\users\eva02\anaconda3\envs\sklearn\lib\site-packages (from cupy) (1.20.0)Requirement already satisfied: fastrlock>=0.5 in c:\users\eva02\anaconda3\envs\sklearn\lib\site-packages (from cupy) (0.8.1)
Building wheels for collected packages: cupy
  Building wheel for cupy (setup.py) ... error
  error: subprocess-exited-with-error

  × python setup.py bdist_wheel did not run successfully.
  │ exit code: 1
  ╰─> [55 lines of output]
      Clearing directory: C:\Users\eva02\AppData\Local\Temp\pip-install-iyqad32h\cupy_721ae8a0802c4c878ac1db5b83119067\cupy\.data
      Looking for NVTX: C:\Program Files\NVIDIA Corporation\Nsight Systems *\target-windows-x64\nvtx
      Using NVTX at: C:\Program Files\NVIDIA Corporation\Nsight Systems 2022.4.2\target-windows-x64\nvtx

      -------- Configuring Module: cuda --------
      Microsoft Visual C++ 14.0 or greater is required. Get it with "Microsoft C++ Build Tools": https://visualstudio.microsoft.com/visual-cpp-build-tools/
      **************************************************
      *** WARNING: Cannot check compute capability
      Microsoft Visual C++ 14.0 or greater is required. Get it with "Microsoft C++ Build Tools": https://visualstudio.microsoft.com/visual-cpp-build-tools/
      **************************************************

      ************************************************************
      * CuPy Configuration Summary                               *
      ************************************************************

      Build Environment:
        Include directories: ['C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v12.0\\include\\cub', 'C:\\Users\\eva02\\AppData\\Local\\Temp\\pip-install-iyqad32h\\cupy_721ae8a0802c4c878ac1db5b83119067\\cupy/_core/include', 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v12.0\\include', 'C:\\Program Files\\NVIDIA Corporation\\Nsight Systems 2022.4.2\\target-windows-x64\\nvtx\\include']
        Library directories: ['C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v12.0\\bin', 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v12.0\\lib\\x64']
        nvcc command       : ['C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v12.0\\bin/nvcc.exe']
        hipcc command      : (not found)

      Environment Variables:
        CFLAGS          : (none)
        LDFLAGS         : (none)
        LIBRARY_PATH    : (none)
        CUDA_PATH       : C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.0
        NVCC            : (none)
        HIPCC           : (none)
        ROCM_HOME       : (none)

      Modules:
        cuda      : No
          -> Include files not found: ['cublas_v2.h', 'cuda.h', 'cuda_profiler_api.h', 'cuda_runtime.h', 'cufft.h', 'curand.h', 'cusparse.h', 'nvrtc.h']
          -> Check your CFLAGS environment variable.

      ERROR: CUDA could not be found on your system.

      HINT: You are trying to build CuPy from source, which is NOT recommended for general use.
            Please consider using binary packages instead.

      Please refer to the Installation Guide for details:
      https://docs.cupy.dev/en/stable/install.html

      ************************************************************

      Traceback (most recent call last):
        File "<string>", line 2, in <module>
        File "<pip-setuptools-caller>", line 34, in <module>
        File "C:\Users\eva02\AppData\Local\Temp\pip-install-iyqad32h\cupy_721ae8a0802c4c878ac1db5b83119067\setup.py", line 88, in <module>
          ext_modules = cupy_setup_build.get_ext_modules(True, ctx)
        File "C:\Users\eva02\AppData\Local\Temp\pip-install-iyqad32h\cupy_721ae8a0802c4c878ac1db5b83119067\install\cupy_builder\cupy_setup_build.py", line 449, in get_ext_modules
          extensions = make_extensions(ctx, compiler, use_cython)
        File "C:\Users\eva02\AppData\Local\Temp\pip-install-iyqad32h\cupy_721ae8a0802c4c878ac1db5b83119067\install\cupy_builder\cupy_setup_build.py", line 305, in make_extensions
          raise Exception('Your CUDA environment is invalid. '
      Exception: Your CUDA environment is invalid. Please check above error log.
      [end of output]
 
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for cupy
  Running setup.py clean for cupy
  error: subprocess-exited-with-error

  × python setup.py clean did not run successfully.
  │ exit code: 1
  ╰─> [55 lines of output]
      Clearing directory: C:\Users\eva02\AppData\Local\Temp\pip-install-iyqad32h\cupy_721ae8a0802c4c878ac1db5b83119067\cupy\.data
      Looking for NVTX: C:\Program Files\NVIDIA Corporation\Nsight Systems *\target-windows-x64\nvtx
      Using NVTX at: C:\Program Files\NVIDIA Corporation\Nsight Systems 2022.4.2\target-windows-x64\nvtx

      -------- Configuring Module: cuda --------
      Microsoft Visual C++ 14.0 or greater is required. Get it with "Microsoft C++ Build Tools": https://visualstudio.microsoft.com/visual-cpp-build-tools/
      **************************************************
      *** WARNING: Cannot check compute capability
      Microsoft Visual C++ 14.0 or greater is required. Get it with "Microsoft C++ Build Tools": https://visualstudio.microsoft.com/visual-cpp-build-tools/
      **************************************************

      ************************************************************
      * CuPy Configuration Summary                               *
      ************************************************************

      Build Environment:
        Include directories: ['C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v12.0\\include\\cub', 'C:\\Users\\eva02\\AppData\\Local\\Temp\\pip-install-iyqad32h\\cupy_721ae8a0802c4c878ac1db5b83119067\\cupy/_core/include', 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v12.0\\include', 'C:\\Program Files\\NVIDIA Corporation\\Nsight Systems 2022.4.2\\target-windows-x64\\nvtx\\include']
        Library directories: ['C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v12.0\\bin', 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v12.0\\lib\\x64']
        nvcc command       : ['C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v12.0\\bin/nvcc.exe']
        hipcc command      : (not found)

      Environment Variables:
        CFLAGS          : (none)
        LDFLAGS         : (none)
        LIBRARY_PATH    : (none)
        CUDA_PATH       : C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.0
        NVCC            : (none)
        HIPCC           : (none)
        ROCM_HOME       : (none)

      Modules:
        cuda      : No
          -> Include files not found: ['cublas_v2.h', 'cuda.h', 'cuda_profiler_api.h', 'cuda_runtime.h', 'cufft.h', 'curand.h', 'cusparse.h', 'nvrtc.h']
          -> Check your CFLAGS environment variable.

      ERROR: CUDA could not be found on your system.

      HINT: You are trying to build CuPy from source, which is NOT recommended for general use.
            Please consider using binary packages instead.

      Please refer to the Installation Guide for details:
      https://docs.cupy.dev/en/stable/install.html

      ************************************************************

      Traceback (most recent call last):
        File "<string>", line 2, in <module>
        File "<pip-setuptools-caller>", line 34, in <module>
        File "C:\Users\eva02\AppData\Local\Temp\pip-install-iyqad32h\cupy_721ae8a0802c4c878ac1db5b83119067\setup.py", line 88, in <module>
          ext_modules = cupy_setup_build.get_ext_modules(True, ctx)
        File "C:\Users\eva02\AppData\Local\Temp\pip-install-iyqad32h\cupy_721ae8a0802c4c878ac1db5b83119067\install\cupy_builder\cupy_setup_build.py", line 449, in get_ext_modules
          extensions = make_extensions(ctx, compiler, use_cython)
        File "C:\Users\eva02\AppData\Local\Temp\pip-install-iyqad32h\cupy_721ae8a0802c4c878ac1db5b83119067\install\cupy_builder\cupy_setup_build.py", line 305, in make_extensions
          raise Exception('Your CUDA environment is invalid. '
      Exception: Your CUDA environment is invalid. Please check above error log.
      [end of output]

  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed cleaning build dir for cupy
Failed to build cupy
ERROR: Could not build wheels for cupy, which is required to install pyproject.toml-based projects

I tried pip install install pyproject.toml-based projects, but it did not work.

Upvotes: 2

Views: 6320

Answers (2)

Su Silva
Su Silva

Reputation: 11

Yes, find the CUDA version with nvcc --version and run pip install cupy-cuda{major_version}x.

enter image description here

Source: https://docs.cupy.dev/en/stable/install.html

Upvotes: 0

Wenhao
Wenhao

Reputation: 9

I had the same error and my cuda version is 11.3.

I solved it on my server using

pip install cupy-cuda11x

You can use the following command to check your cuda version

nvcc --version

Hope it works for you. :)

Reference: https://docs.cupy.dev/en/stable/install.html#installing-cupy

Upvotes: 0

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