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MzeroMiko / VMamba

VMamba: Visual State Space Models，code is based on mamba
MIT License
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ERROR: Could not build wheels for selective-scan, which is required to install pyproject.toml-based projects #161

Open wyq2021 opened 5 months ago

wyq2021 commented 5 months ago

Building wheels for collected packages: selective-scan Building wheel for selective-scan (setup.py) ... error error: subprocess-exited-with-error

× python setup.py bdist_wheel did not run successfully. │ exit code: 1 ╰─> [70 lines of output]

  torch.__version__  = 2.0.0+cu118

  CUDA_HOME = /home/ubuntu/anaconda3/envs/testmamba

  running bdist_wheel
  /home/ubuntu/anaconda3/envs/testmamba/lib/python3.8/site-packages/torch/utils/cpp_extension.py:476: UserWarning: Attempted to use ninja as the BuildExtension backend but we could not find ninja.. Falling back to using the slow distutils backend.
    warnings.warn(msg.format('we could not find ninja.'))
  running build
  running build_ext
  /home/ubuntu/anaconda3/envs/testmamba/lib/python3.8/site-packages/torch/utils/cpp_extension.py:398: UserWarning: There are no g++ version bounds defined for CUDA version 11.8
    warnings.warn(f'There are no {compiler_name} version bounds defined for CUDA version {cuda_str_version}')
  building 'selective_scan_cuda_core' extension
  gcc -pthread -B /home/ubuntu/anaconda3/envs/testmamba/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/mnt/ssd2/wyq/Models/VMamba/kernels/selective_scan/csrc/selective_scan -I/home/ubuntu/anaconda3/envs/testmamba/lib/python3.8/site-packages/torch/include -I/home/ubuntu/anaconda3/envs/testmamba/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/home/ubuntu/anaconda3/envs/testmamba/lib/python3.8/site-packages/torch/include/TH -I/home/ubuntu/anaconda3/envs/testmamba/lib/python3.8/site-packages/torch/include/THC -I/home/ubuntu/anaconda3/envs/testmamba/include -I/home/ubuntu/anaconda3/envs/testmamba/include/python3.8 -c csrc/selective_scan/cus/selective_scan.cpp -o build/temp.linux-x86_64-cpython-38/csrc/selective_scan/cus/selective_scan.o -O3 -std=c++17 -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -DTORCH_EXTENSION_NAME=selective_scan_cuda_core -D_GLIBCXX_USE_CXX11_ABI=0
  cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
  /home/ubuntu/anaconda3/envs/testmamba/bin/nvcc -I/mnt/ssd2/wyq/Models/VMamba/kernels/selective_scan/csrc/selective_scan -I/home/ubuntu/anaconda3/envs/testmamba/lib/python3.8/site-packages/torch/include -I/home/ubuntu/anaconda3/envs/testmamba/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/home/ubuntu/anaconda3/envs/testmamba/lib/python3.8/site-packages/torch/include/TH -I/home/ubuntu/anaconda3/envs/testmamba/lib/python3.8/site-packages/torch/include/THC -I/home/ubuntu/anaconda3/envs/testmamba/include -I/home/ubuntu/anaconda3/envs/testmamba/include/python3.8 -c csrc/selective_scan/cus/selective_scan_core_bwd.cu -o build/temp.linux-x86_64-cpython-38/csrc/selective_scan/cus/selective_scan_core_bwd.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -O3 -std=c++17 -U__CUDA_NO_HALF_OPERATORS__ -U__CUDA_NO_HALF_CONVERSIONS__ -U__CUDA_NO_BFLOAT16_OPERATORS__ -U__CUDA_NO_BFLOAT16_CONVERSIONS__ -U__CUDA_NO_BFLOAT162_OPERATORS__ -U__CUDA_NO_BFLOAT162_CONVERSIONS__ --expt-relaxed-constexpr --expt-extended-lambda --use_fast_math --ptxas-options=-v -lineinfo -gencode arch=compute_70,code=sm_70 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_90,code=sm_90 --threads 4 -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -DTORCH_EXTENSION_NAME=selective_scan_cuda_core -D_GLIBCXX_USE_CXX11_ABI=0
  sh: /home/ubuntu/anaconda3/envs/testmamba/bin/../lib/libtinfo.so.6: no version information available (required by sh)
  sh: /home/ubuntu/anaconda3/envs/testmamba/bin/../lib/libtinfo.so.6: no version information available (required by sh)
  sh: /home/ubuntu/anaconda3/envs/testmamba/bin/../lib/libtinfo.so.6: no version information available (required by sh)
  sh: /home/ubuntu/anaconda3/envs/testmamba/bin/../lib/libtinfo.so.6: no version information available (required by sh)
  In file included from /usr/include/cuda_runtime.h:83,
                   from <command-line>:
  /usr/include/crt/host_config.h:138:2: error: #error -- unsupported GNU version! gcc versions later than 8 are not supported!
    138 | #error -- unsupported GNU version! gcc versions later than 8 are not supported!
        |  ^~~~~
  In file included from csrc/selective_scan/cus/selective_scan_bwd_kernel.cuh:7,
                   from csrc/selective_scan/cus/selective_scan_core_bwd.cu:4:
  /home/ubuntu/anaconda3/envs/testmamba/lib/python3.8/site-packages/torch/include/c10/util/BFloat16.h:11:10: fatal error: cuda_bf16.h: No such file or directory
     11 | #include <cuda_bf16.h>
        |          ^~~~~~~~~~~~~
  compilation terminated.
  In file included from /usr/include/cuda_runtime.h:83,
                   from <command-line>:
  /usr/include/crt/host_config.h:138:2: error: #error -- unsupported GNU version! gcc versions later than 8 are not supported!
    138 | #error -- unsupported GNU version! gcc versions later than 8 are not supported!
        |  ^~~~~
  In file included from csrc/selective_scan/cus/selective_scan_bwd_kernel.cuh:7,
                   from csrc/selective_scan/cus/selective_scan_core_bwd.cu:4:
  /home/ubuntu/anaconda3/envs/testmamba/lib/python3.8/site-packages/torch/include/c10/util/BFloat16.h:11:10: fatal error: cuda_bf16.h: No such file or directory
     11 | #include <cuda_bf16.h>
        |          ^~~~~~~~~~~~~
  compilation terminated.
  In file included from /usr/include/cuda_runtime.h:83,
                   from <command-line>:
  /usr/include/crt/host_config.h:138:2: error: #error -- unsupported GNU version! gcc versions later than 8 are not supported!
    138 | #error -- unsupported GNU version! gcc versions later than 8 are not supported!
        |  ^~~~~
  In file included from csrc/selective_scan/cus/selective_scan_bwd_kernel.cuh:7,
                   from csrc/selective_scan/cus/selective_scan_core_bwd.cu:4:
  /home/ubuntu/anaconda3/envs/testmamba/lib/python3.8/site-packages/torch/include/c10/util/BFloat16.h:11:10: fatal error: cuda_bf16.h: No such file or directory
     11 | #include <cuda_bf16.h>
        |          ^~~~~~~~~~~~~
  compilation terminated.
  In file included from /usr/include/cuda_runtime.h:83,
                   from <command-line>:
  /usr/include/crt/host_config.h:138:2: error: #error -- unsupported GNU version! gcc versions later than 8 are not supported!
    138 | #error -- unsupported GNU version! gcc versions later than 8 are not supported!
        |  ^~~~~
  In file included from csrc/selective_scan/cus/selective_scan_bwd_kernel.cuh:7,
                   from csrc/selective_scan/cus/selective_scan_core_bwd.cu:4:
  /home/ubuntu/anaconda3/envs/testmamba/lib/python3.8/site-packages/torch/include/c10/util/BFloat16.h:11:10: fatal error: cuda_bf16.h: No such file or directory
     11 | #include <cuda_bf16.h>
        |          ^~~~~~~~~~~~~
  compilation terminated.
  error: command '/home/ubuntu/anaconda3/envs/testmamba/bin/nvcc' failed with exit code 255
  [end of output]

note: This error originates from a subprocess, and is likely not a problem with pip. ERROR: Failed building wheel for selective-scan Running setup.py clean for selective-scan Failed to build selective-scan ERROR: Could not build wheels for selective-scan, which is required to install pyproject.toml-based projects

Dear author, I am really sorry to bother you. But I do in need of your help. I always install it failed. can you help me to solve it. Thank you. and I attched the "nvcc -V" and :gcc -V：

image image

XiaoBaiHhy commented 5 months ago

@wyq2021 Hello, have you solved it? I'm also bothered by this problem

wyq2021 commented 5 months ago

@wyq2021 Hello, have you solved it? I'm also bothered by this problem

I don't solve it at present

ljyljy1216 commented 5 months ago

I solved it following https://blog.csdn.net/RooKichenn/article/details/137243572

It could be your version of pytorch.

I use 'conda install pytorch==2.2.1 torchvision==0.17.1 torchaudio==2.2.1 pytortorch -cuda=12.1 -c pytorch-c nvidia has re-downloaded pytorch.

I uninstalled and reinstalled different versions of pytorch several times. You can choose which version of pytorch you want to install based on your cuda version. In addition, do not install with pip, but with conda.

Try several times and be patient.

wyq2021 commented 5 months ago

I solved it following https://blog.csdn.net/RooKichenn/article/details/137243572

It could be your version of pytorch.

I use 'conda install pytorch==2.2.1 torchvision==0.17.1 torchaudio==2.2.1 pytortorch -cuda=12.1 -c pytorch-c nvidia has re-downloaded pytorch.

I uninstalled and reinstalled different versions of pytorch several times. You can choose which version of pytorch you want to install based on your cuda version. In addition, do not install with pip, but with conda.

Try several times and be patient.

Thank you very much.

XiaoBaiHhy commented 5 months ago

@ljyljy1216 HI, Thank you for the answer, pls what is the version of causal-conve1d and mamba-ssma and g++？

ILVHYY commented 4 months ago

我有个简单的办法，如果你用wsl构建环境，把程序包放到ubantu虚拟机里再pip install . 就不会报错

BranStarkkk commented 1 week ago

I solved it following https://blog.csdn.net/RooKichenn/article/details/137243572

It could be your version of pytorch.

I use 'conda install pytorch==2.2.1 torchvision==0.17.1 torchaudio==2.2.1 pytortorch -cuda=12.1 -c pytorch-c nvidia has re-downloaded pytorch.

I uninstalled and reinstalled different versions of pytorch several times. You can choose which version of pytorch you want to install based on your cuda version. In addition, do not install with pip, but with conda.

Try several times and be patient.

你好，我的Linux服务器是单张4090显卡，而且cuda版本为12.5，我可以安装哪些版本的pytorch呢，好像我尝试了 conda install pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch -c nvidia 以及 conda install pytorch torchvision torchaudio pytorch-cuda=12.4 -c pytorch -c nvidia 都不行。 而且Pytorch官网最新的版本只有pytorch-cuda=12.4。 不知道你的显卡版本是？ 如果能给与任何帮助，将不胜感激！

ljyljy1216 commented 1 week ago

I solved it following https://blog.csdn.net/RooKichenn/article/details/137243572 It could be your version of pytorch. I use 'conda install pytorch==2.2.1 torchvision==0.17.1 torchaudio==2.2.1 pytortorch -cuda=12.1 -c pytorch-c nvidia has re-downloaded pytorch. I uninstalled and reinstalled different versions of pytorch several times. You can choose which version of pytorch you want to install based on your cuda version. In addition, do not install with pip, but with conda. Try several times and be patient.

你好，我的Linux服务器是单张4090显卡，而且cuda版本为12.5，我可以安装哪些版本的pytorch呢，好像我尝试了 conda install pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch -c nvidia 以及 conda install pytorch torchvision torchaudio pytorch-cuda=12.4 -c pytorch -c nvidia 都不行。 而且Pytorch官网最新的版本只有pytorch-cuda=12.4。 不知道你的显卡版本是？ 如果能给与任何帮助，将不胜感激！

我是2.1.1+cu121 cuda version=12.3 ， 你12.5可能太高了，你可以降一下版本试试

BranStarkkk commented 1 week ago

I solved it following https://blog.csdn.net/RooKichenn/article/details/137243572 It could be your version of pytorch. I use 'conda install pytorch==2.2.1 torchvision==0.17.1 torchaudio==2.2.1 pytortorch -cuda=12.1 -c pytorch-c nvidia has re-downloaded pytorch. I uninstalled and reinstalled different versions of pytorch several times. You can choose which version of pytorch you want to install based on your cuda version. In addition, do not install with pip, but with conda. Try several times and be patient.

你好，我的Linux服务器是单张4090显卡，而且cuda版本为12.5，我可以安装哪些版本的pytorch呢，好像我尝试了 conda install pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch -c nvidia 以及 conda install pytorch torchvision torchaudio pytorch-cuda=12.4 -c pytorch -c nvidia 都不行。 而且Pytorch官网最新的版本只有pytorch-cuda=12.4。 不知道你的显卡版本是？ 如果能给与任何帮助，将不胜感激！

我是2.1.1+cu121 cuda version=12.3 ， 你12.5可能太高了，你可以降一下版本试试

好的，感谢回复~！