fatal error: crypt.h: No such file or directory

[rhmaaa]

python setup.py install
running install
/opt/conda/envs/smoothquant/lib/python3.8/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
!!

    ********************************************************************************
    Please avoid running ``setup.py`` directly.
    Instead, use pypa/build, pypa/installer or other
    standards-based tools.

    See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
    ********************************************************************************

!!
self.initialize_options()
/opt/conda/envs/smoothquant/lib/python3.8/site-packages/setuptools/_distutils/cmd.py:66: EasyInstallDeprecationWarning: easy_install command is deprecated.
!!

    ********************************************************************************
    Please avoid running ``setup.py`` and ``easy_install``.
    Instead, use pypa/build, pypa/installer or other
    standards-based tools.

    See https://github.com/pypa/setuptools/issues/917 for details.
    ********************************************************************************

!!
self.initialize_options()
running bdist_egg
running egg_info
writing torch_int.egg-info/PKG-INFO
writing dependency_links to torch_int.egg-info/dependency_links.txt
writing top-level names to torch_int.egg-info/top_level.txt
reading manifest file 'torch_int.egg-info/SOURCES.txt'
adding license file 'LICENSE'
writing manifest file 'torch_int.egg-info/SOURCES.txt'
installing library code to build/bdist.linux-x86_64/egg
running install_lib
running build_py
copying torch_int/init.py -> build/lib.linux-x86_64-cpython-38/torch_int
copying torch_int/nn/fused.py -> build/lib.linux-x86_64-cpython-38/torch_int/nn
copying torch_int/nn/linear.py -> build/lib.linux-x86_64-cpython-38/torch_int/nn
copying torch_int/nn/bmm.py -> build/lib.linux-x86_64-cpython-38/torch_int/nn
copying torch_int/nn/init.py -> build/lib.linux-x86_64-cpython-38/torch_int/nn
copying torch_int/utils/init.py -> build/lib.linux-x86_64-cpython-38/torch_int/utils
copying torch_int/functional/fused.py -> build/lib.linux-x86_64-cpython-38/torch_int/functional
copying torch_int/functional/bmm.py -> build/lib.linux-x86_64-cpython-38/torch_int/functional
copying torch_int/functional/quantization.py -> build/lib.linux-x86_64-cpython-38/torch_int/functional
copying torch_int/functional/init.py -> build/lib.linux-x86_64-cpython-38/torch_int/functional
copying torch_int/models/opt.py -> build/lib.linux-x86_64-cpython-38/torch_int/models
copying torch_int/models/init.py -> build/lib.linux-x86_64-cpython-38/torch_int/models
running build_ext
/opt/conda/envs/smoothquant/lib/python3.8/site-packages/torch/utils/cpp_extension.py:813: UserWarning: The detected CUDA version (11.8) has a minor version mismatch with the version that was used to compile PyTorch (11.3). Most likely this shouldn't be a problem.
warnings.warn(CUDA_MISMATCH_WARN.format(cuda_str_version, torch.version.cuda))
/opt/conda/envs/smoothquant/lib/python3.8/site-packages/torch/utils/cpp_extension.py:820: UserWarning: There are no /opt/conda/envs/smoothquant/bin/x86_64-conda-linux-gnu-c++ 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 'torch_int.CUDA' extension
/opt/conda/envs/smoothquant/bin/x86_64-conda-linux-gnu-cc -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/smoothquant/include -fPIC -O2 -isystem /opt/conda/envs/smoothquant/include -march=nocona -mtune=haswell -ftree-vectorize -fPIC -fstack-protector-strong -fno-plt -O2 -ffunction-sections -pipe -isystem /opt/conda/envs/smoothquant/include -DNDEBUG -D_FORTIFY_SOURCE=2 -O2 -isystem /opt/conda/envs/smoothquant/include -fPIC -Itorch_int/kernels/include -I/opt/conda/envs/smoothquant/lib/python3.8/site-packages/torch/include -I/opt/conda/envs/smoothquant/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/smoothquant/lib/python3.8/site-packages/torch/include/TH -I/opt/conda/envs/smoothquant/lib/python3.8/site-packages/torch/include/THC -I/usr/local/cuda-11.8/include -I/opt/conda/envs/smoothquant/include/python3.8 -c torch_int/kernels/bindings.cpp -o build/temp.linux-x86_64-cpython-38/torch_int/kernels/bindings.o -std=c++14 -O3 -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="gcc" -DPYBIND11_STDLIB="libstdcpp" -DPYBIND11_BUILD_ABI="cxxabi1011" -DTORCH_EXTENSION_NAME=CUDA -D_GLIBCXX_USE_CXX11_ABI=0
/usr/local/cuda-11.8/bin/nvcc -Itorch_int/kernels/include -I/opt/conda/envs/smoothquant/lib/python3.8/site-packages/torch/include -I/opt/conda/envs/smoothquant/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/smoothquant/lib/python3.8/site-packages/torch/include/TH -I/opt/conda/envs/smoothquant/lib/python3.8/site-packages/torch/include/THC -I/usr/local/cuda-11.8/include -I/opt/conda/envs/smoothquant/include/python3.8 -c torch_int/kernels/bmm.cu -o build/temp.linux-x86_64-cpython-38/torch_int/kernels/bmm.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++14 -U__CUDA_NO_HALF_OPERATORS__ -U__CUDA_NO_HALF_CONVERSIONS__ -U__CUDA_NO_HALF2_OPERATORS__ -DCUDA_ARCH=800 -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="_gcc" -DPYBIND11_STDLIB="_libstdcpp" -DPYBIND11_BUILD_ABI="_cxxabi1011" -DTORCH_EXTENSION_NAME=_CUDA -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_80,code=compute_80 -gencode=arch=compute_80,code=sm_80 -ccbin /opt/conda/envs/smoothquant/bin/x86_64-conda-linux-gnu-cc
/opt/conda/envs/smoothquant/lib/python3.8/site-packages/torch/include/c10/core/SymInt.h(84): warning #68-D: integer conversion resulted in a change of sign

/opt/conda/envs/smoothquant/lib/python3.8/site-packages/torch/include/c10/core/SymInt.h(84): warning #68-D: integer conversion resulted in a change of sign

/usr/local/cuda-11.8/bin/nvcc -Itorch_int/kernels/include -I/opt/conda/envs/smoothquant/lib/python3.8/site-packages/torch/include -I/opt/conda/envs/smoothquant/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/smoothquant/lib/python3.8/site-packages/torch/include/TH -I/opt/conda/envs/smoothquant/lib/python3.8/site-packages/torch/include/THC -I/usr/local/cuda-11.8/include -I/opt/conda/envs/smoothquant/include/python3.8 -c torch_int/kernels/fused.cu -o build/temp.linux-x86_64-cpython-38/torch_int/kernels/fused.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++14 -U__CUDA_NO_HALF_OPERATORS__ -U__CUDA_NO_HALF_CONVERSIONS__ -U__CUDA_NO_HALF2_OPERATORS__ -DCUDA_ARCH=800 -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="_gcc" -DPYBIND11_STDLIB="_libstdcpp" -DPYBIND11_BUILD_ABI="_cxxabi1011" -DTORCH_EXTENSION_NAME=_CUDA -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_80,code=compute_80 -gencode=arch=compute_80,code=sm_80 -ccbin /opt/conda/envs/smoothquant/bin/x86_64-conda-linux-gnu-cc
In file included from /opt/conda/envs/smoothquant/lib/python3.8/site-packages/torch/include/torch/csrc/python_headers.h:10,
from /opt/conda/envs/smoothquant/lib/python3.8/site-packages/torch/include/torch/csrc/Device.h:3,
from /opt/conda/envs/smoothquant/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/python.h:8,
from /opt/conda/envs/smoothquant/lib/python3.8/site-packages/torch/include/torch/extension.h:6,
from /opt/conda/envs/smoothquant/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/torch.h:6,
from torch_int/kernels/include/common.h:8,
from torch_int/kernels/fused.cu:2:
/opt/conda/envs/smoothquant/include/python3.8/Python.h:44:10: fatal error: crypt.h: No such file or directory
44 | #include <crypt.h>
| ^~~~~~~~~
compilation terminated.
error: command '/usr/local/cuda-11.8/bin/nvcc' failed with exit code 1

[yugezheng]

Have you solved this problem?