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Cuda issue when trying to install #13

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mhenrichsen opened this issue Aug 31, 2023 · 5 comments
Closed

Cuda issue when trying to install #13

mhenrichsen opened this issue Aug 31, 2023 · 5 comments

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@mhenrichsen
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Hej Casper (and whoever might read this),

I'm having some strange cuda issue awq when trying to install on a machine with py3.10, cu118.

`Installing collected packages: awq
Running setup.py develop for awq
error: subprocess-exited-with-error

× python setup.py develop did not run successfully.
│ exit code: 1
╰─> [224 lines of output]
    running develop
    /root/miniconda3/envs/py3.10/lib/python3.10/site-packages/setuptools/command/develop.py:40: 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.
            ********************************************************************************
    
    !!
      easy_install.initialize_options(self)
    /root/miniconda3/envs/py3.10/lib/python3.10/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()
    running egg_info
    writing awq.egg-info/PKG-INFO
    writing dependency_links to awq.egg-info/dependency_links.txt
    writing requirements to awq.egg-info/requires.txt
    writing top-level names to awq.egg-info/top_level.txt
    reading manifest file 'awq.egg-info/SOURCES.txt'
    adding license file 'LICENSE'
    writing manifest file 'awq.egg-info/SOURCES.txt'
    running build_ext
    /root/miniconda3/envs/py3.10/lib/python3.10/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 'awq_inference_engine' extension
    Emitting ninja build file /workspace/AutoAWQ/build/temp.linux-x86_64-cpython-310/build.ninja...
    Compiling objects...
    Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
    [1/1] /usr/local/cuda/bin/nvcc  -I/root/miniconda3/envs/py3.10/lib/python3.10/site-packages/torch/include -I/root/miniconda3/envs/py3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/root/miniconda3/envs/py3.10/lib/python3.10/site-packages/torch/include/TH -I/root/miniconda3/envs/py3.10/lib/python3.10/site-packages/torch/include/THC -I/usr/local/cuda/include -I/root/miniconda3/envs/py3.10/include/python3.10 -c -c /workspace/AutoAWQ/awq_cuda/quantization/gemm_cuda_gen.cu -o /workspace/AutoAWQ/build/temp.linux-x86_64-cpython-310/awq_cuda/quantization/gemm_cuda_gen.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 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=awq_inference_engine -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_70,code=sm_70 -gencode=arch=compute_75,code=sm_75 -gencode=arch=compute_80,code=sm_80 -gencode=arch=compute_86,code=sm_86 -gencode=arch=compute_90,code=compute_90 -gencode=arch=compute_90,code=sm_90
    FAILED: /workspace/AutoAWQ/build/temp.linux-x86_64-cpython-310/awq_cuda/quantization/gemm_cuda_gen.o
    /usr/local/cuda/bin/nvcc  -I/root/miniconda3/envs/py3.10/lib/python3.10/site-packages/torch/include -I/root/miniconda3/envs/py3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/root/miniconda3/envs/py3.10/lib/python3.10/site-packages/torch/include/TH -I/root/miniconda3/envs/py3.10/lib/python3.10/site-packages/torch/include/THC -I/usr/local/cuda/include -I/root/miniconda3/envs/py3.10/include/python3.10 -c -c /workspace/AutoAWQ/awq_cuda/quantization/gemm_cuda_gen.cu -o /workspace/AutoAWQ/build/temp.linux-x86_64-cpython-310/awq_cuda/quantization/gemm_cuda_gen.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 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=awq_inference_engine -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_70,code=sm_70 -gencode=arch=compute_75,code=sm_75 -gencode=arch=compute_80,code=sm_80 -gencode=arch=compute_86,code=sm_86 -gencode=arch=compute_90,code=compute_90 -gencode=arch=compute_90,code=sm_90
    /workspace/AutoAWQ/awq_cuda/quantization/gemm_cuda_gen.cu(35): warning #177-D: variable "scaling_factors_shared" was declared but never referenced
    
    /workspace/AutoAWQ/awq_cuda/quantization/gemm_cuda_gen.cu(36): warning #177-D: variable "zeros_shared" was declared but never referenced
    
    /workspace/AutoAWQ/awq_cuda/quantization/gemm_cuda_gen.cu(39): warning #177-D: variable "blockIdx_x" was declared but never referenced
    
    /workspace/AutoAWQ/awq_cuda/quantization/gemm_cuda_gen.cu(53): warning #177-D: variable "ld_zero_flag" was declared but never referenced
    
    /workspace/AutoAWQ/awq_cuda/quantization/gemm_cuda_gen.cu(228): warning #177-D: variable "scaling_factors_shared" was declared but never referenced
    
    /workspace/AutoAWQ/awq_cuda/quantization/gemm_cuda_gen.cu(229): warning #177-D: variable "zeros_shared" was declared but never referenced
    
    /workspace/AutoAWQ/awq_cuda/quantization/gemm_cuda_gen.cu(233): warning #177-D: variable "blockIdx_x" was declared but never referenced
    
    /workspace/AutoAWQ/awq_cuda/quantization/gemm_cuda_gen.cu(247): warning #177-D: variable "ld_zero_flag" was declared but never referenced
    
    /root/miniconda3/envs/py3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h(54): warning #186-D: pointless comparison of unsigned integer with zero
              detected during:
                instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator==(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=size_t, one_sided=false, <unnamed>=0]"
    (61): here
                instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator!=(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=size_t, one_sided=false, <unnamed>=0]"
    /root/miniconda3/envs/py3.10/lib/python3.10/site-packages/torch/include/c10/core/TensorImpl.h(77): here
    
    /root/miniconda3/envs/py3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h(54): warning #186-D: pointless comparison of unsigned integer with zero
              detected during:
                instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator==(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=std::size_t, one_sided=true, <unnamed>=0]"
    (61): here
                instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator!=(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=std::size_t, one_sided=true, <unnamed>=0]"
    /root/miniconda3/envs/py3.10/lib/python3.10/site-packages/torch/include/ATen/core/qualified_name.h(73): here
    
    /workspace/AutoAWQ/awq_cuda/quantization/gemm_cuda_gen.cu(22): warning #177-D: function "__pack_half2" was declared but never referenced
    
    /workspace/AutoAWQ/awq_cuda/quantization/gemm_cuda_gen.cu(35): warning #177-D: variable "scaling_factors_shared" was declared but never referenced
    
    /workspace/AutoAWQ/awq_cuda/quantization/gemm_cuda_gen.cu(36): warning #177-D: variable "zeros_shared" was declared but never referenced
    
    /workspace/AutoAWQ/awq_cuda/quantization/gemm_cuda_gen.cu(39): warning #177-D: variable "blockIdx_x" was declared but never referenced
    
    /workspace/AutoAWQ/awq_cuda/quantization/gemm_cuda_gen.cu(53): warning #177-D: variable "ld_zero_flag" was declared but never referenced
    
    /workspace/AutoAWQ/awq_cuda/quantization/gemm_cuda_gen.cu(228): warning #177-D: variable "scaling_factors_shared" was declared but never referenced
    
    /workspace/AutoAWQ/awq_cuda/quantization/gemm_cuda_gen.cu(229): warning #177-D: variable "zeros_shared" was declared but never referenced
    
    /workspace/AutoAWQ/awq_cuda/quantization/gemm_cuda_gen.cu(233): warning #177-D: variable "blockIdx_x" was declared but never referenced
    
    /workspace/AutoAWQ/awq_cuda/quantization/gemm_cuda_gen.cu(247): warning #177-D: variable "ld_zero_flag" was declared but never referenced
    
    /root/miniconda3/envs/py3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h(54): warning #186-D: pointless comparison of unsigned integer with zero
              detected during:
                instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator==(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=size_t, one_sided=false, <unnamed>=0]"
    (61): here
                instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator!=(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=size_t, one_sided=false, <unnamed>=0]"
    /root/miniconda3/envs/py3.10/lib/python3.10/site-packages/torch/include/c10/core/TensorImpl.h(77): here
    
    /root/miniconda3/envs/py3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h(54): warning #186-D: pointless comparison of unsigned integer with zero
              detected during:
                instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator==(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=std::size_t, one_sided=true, <unnamed>=0]"
    (61): here
                instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator!=(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=std::size_t, one_sided=true, <unnamed>=0]"
    /root/miniconda3/envs/py3.10/lib/python3.10/site-packages/torch/include/ATen/core/qualified_name.h(73): here
    
    /workspace/AutoAWQ/awq_cuda/quantization/gemm_cuda_gen.cu(22): warning #177-D: function "__pack_half2" was declared but never referenced
    
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 892; error   : Feature 'ldmatrix' requires .target sm_75 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 892; error   : Modifier '.m8n8' requires .target sm_75 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 900; error   : Feature 'ldmatrix' requires .target sm_75 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 900; error   : Modifier '.m8n8' requires .target sm_75 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 908; error   : Feature 'ldmatrix' requires .target sm_75 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 908; error   : Modifier '.m8n8' requires .target sm_75 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 916; error   : Feature 'ldmatrix' requires .target sm_75 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 916; error   : Modifier '.m8n8' requires .target sm_75 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 924; error   : Feature 'ldmatrix' requires .target sm_75 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 924; error   : Modifier '.m8n8' requires .target sm_75 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 928; error   : Feature '.m16n8k16' requires .target sm_80 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 932; error   : Feature '.m16n8k16' requires .target sm_80 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 936; error   : Feature '.m16n8k16' requires .target sm_80 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 940; error   : Feature '.m16n8k16' requires .target sm_80 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 944; error   : Feature '.m16n8k16' requires .target sm_80 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 948; error   : Feature '.m16n8k16' requires .target sm_80 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 952; error   : Feature '.m16n8k16' requires .target sm_80 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 956; error   : Feature '.m16n8k16' requires .target sm_80 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 964; error   : Feature 'ldmatrix' requires .target sm_75 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 964; error   : Modifier '.m8n8' requires .target sm_75 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 972; error   : Feature 'ldmatrix' requires .target sm_75 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 972; error   : Modifier '.m8n8' requires .target sm_75 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 980; error   : Feature 'ldmatrix' requires .target sm_75 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 980; error   : Modifier '.m8n8' requires .target sm_75 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 988; error   : Feature 'ldmatrix' requires .target sm_75 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 988; error   : Modifier '.m8n8' requires .target sm_75 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 996; error   : Feature 'ldmatrix' requires .target sm_75 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 996; error   : Modifier '.m8n8' requires .target sm_75 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 1000; error   : Feature '.m16n8k16' requires .target sm_80 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 1004; error   : Feature '.m16n8k16' requires .target sm_80 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 1008; error   : Feature '.m16n8k16' requires .target sm_80 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 1012; error   : Feature '.m16n8k16' requires .target sm_80 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 1016; error   : Feature '.m16n8k16' requires .target sm_80 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 1020; error   : Feature '.m16n8k16' requires .target sm_80 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 1024; error   : Feature '.m16n8k16' requires .target sm_80 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 1028; error   : Feature '.m16n8k16' requires .target sm_80 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 1834; error   : Feature 'ldmatrix' requires .target sm_75 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 1834; error   : Modifier '.m8n8' requires .target sm_75 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 1842; error   : Feature 'ldmatrix' requires .target sm_75 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 1842; error   : Modifier '.m8n8' requires .target sm_75 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 1850; error   : Feature 'ldmatrix' requires .target sm_75 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 1850; error   : Modifier '.m8n8' requires .target sm_75 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 1854; error   : Feature '.m16n8k16' requires .target sm_80 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 1858; error   : Feature '.m16n8k16' requires .target sm_80 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 1862; error   : Feature '.m16n8k16' requires .target sm_80 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 1866; error   : Feature '.m16n8k16' requires .target sm_80 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 1874; error   : Feature 'ldmatrix' requires .target sm_75 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 1874; error   : Modifier '.m8n8' requires .target sm_75 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 1882; error   : Feature 'ldmatrix' requires .target sm_75 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 1882; error   : Modifier '.m8n8' requires .target sm_75 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 1890; error   : Feature 'ldmatrix' requires .target sm_75 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 1890; error   : Modifier '.m8n8' requires .target sm_75 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 1894; error   : Feature '.m16n8k16' requires .target sm_80 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 1898; error   : Feature '.m16n8k16' requires .target sm_80 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 1902; error   : Feature '.m16n8k16' requires .target sm_80 or higher
    ptxas /tmp/tmpxft_00000313_00000000-10_gemm_cuda_gen.compute_70.ptx, line 1906; error   : Feature '.m16n8k16' requires .target sm_80 or higher
    ptxas fatal   : Ptx assembly aborted due to errors
    ninja: build stopped: subcommand failed.
    Traceback (most recent call last):
      File "/root/miniconda3/envs/py3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py", line 1893, in _run_ninja_build
        subprocess.run(
      File "/root/miniconda3/envs/py3.10/lib/python3.10/subprocess.py", line 526, in run
        raise CalledProcessError(retcode, process.args,
    subprocess.CalledProcessError: Command '['ninja', '-v']' returned non-zero exit status 1.
    
    The above exception was the direct cause of the following exception:
    
    Traceback (most recent call last):
      File "<string>", line 2, in <module>
      File "<pip-setuptools-caller>", line 34, in <module>
      File "/workspace/AutoAWQ/setup.py", line 41, in <module>
        setup(
      File "/root/miniconda3/envs/py3.10/lib/python3.10/site-packages/setuptools/__init__.py", line 107, in setup
        return distutils.core.setup(**attrs)
      File "/root/miniconda3/envs/py3.10/lib/python3.10/site-packages/setuptools/_distutils/core.py", line 185, in setup
        return run_commands(dist)
      File "/root/miniconda3/envs/py3.10/lib/python3.10/site-packages/setuptools/_distutils/core.py", line 201, in run_commands
        dist.run_commands()
      File "/root/miniconda3/envs/py3.10/lib/python3.10/site-packages/setuptools/_distutils/dist.py", line 969, in run_commands
        self.run_command(cmd)
      File "/root/miniconda3/envs/py3.10/lib/python3.10/site-packages/setuptools/dist.py", line 1234, in run_command
        super().run_command(command)
      File "/root/miniconda3/envs/py3.10/lib/python3.10/site-packages/setuptools/_distutils/dist.py", line 988, in run_command
        cmd_obj.run()
      File "/root/miniconda3/envs/py3.10/lib/python3.10/site-packages/setuptools/command/develop.py", line 34, in run
        self.install_for_development()
      File "/root/miniconda3/envs/py3.10/lib/python3.10/site-packages/setuptools/command/develop.py", line 111, in install_for_development
        self.run_command('build_ext')
      File "/root/miniconda3/envs/py3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py", line 318, in run_command
        self.distribution.run_command(command)
      File "/root/miniconda3/envs/py3.10/lib/python3.10/site-packages/setuptools/dist.py", line 1234, in run_command
        super().run_command(command)
      File "/root/miniconda3/envs/py3.10/lib/python3.10/site-packages/setuptools/_distutils/dist.py", line 988, in run_command
        cmd_obj.run()
      File "/root/miniconda3/envs/py3.10/lib/python3.10/site-packages/setuptools/command/build_ext.py", line 84, in run
        _build_ext.run(self)
      File "/root/miniconda3/envs/py3.10/lib/python3.10/site-packages/setuptools/_distutils/command/build_ext.py", line 345, in run
        self.build_extensions()
      File "/root/miniconda3/envs/py3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py", line 843, in build_extensions
        build_ext.build_extensions(self)
      File "/root/miniconda3/envs/py3.10/lib/python3.10/site-packages/setuptools/_distutils/command/build_ext.py", line 467, in build_extensions
        self._build_extensions_serial()
      File "/root/miniconda3/envs/py3.10/lib/python3.10/site-packages/setuptools/_distutils/command/build_ext.py", line 493, in _build_extensions_serial
        self.build_extension(ext)
      File "/root/miniconda3/envs/py3.10/lib/python3.10/site-packages/setuptools/command/build_ext.py", line 246, in build_extension
        _build_ext.build_extension(self, ext)
      File "/root/miniconda3/envs/py3.10/lib/python3.10/site-packages/setuptools/_distutils/command/build_ext.py", line 548, in build_extension
        objects = self.compiler.compile(
      File "/root/miniconda3/envs/py3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py", line 658, in unix_wrap_ninja_compile
        _write_ninja_file_and_compile_objects(
      File "/root/miniconda3/envs/py3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py", line 1574, in _write_ninja_file_and_compile_objects
        _run_ninja_build(
      File "/root/miniconda3/envs/py3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py", line 1909, in _run_ninja_build
        raise RuntimeError(message) from e
    RuntimeError: Error compiling objects for extension
    [end of output]

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

error: subprocess-exited-with-error`

Seems to happen when running pip install -e .
@casper-hansen
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casper-hansen commented Aug 31, 2023 •
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Which GPU are you using?

EDIT: I will add more code to validate the correct setup in the upcoming PR #9 that introduces automated builds. The requirement is a new GPU with compute capability 8.0 or later and CUDA 11.8

@mhenrichsen
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RTX 3090.

So it should fulfill both those requirements.

@casper-hansen
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RTX 3090.

So it should fulfill both those requirements.

Can you please try to git checkout release_package and try pip install -e . again?

@mhenrichsen
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Can confirm it works on the release_package branch :)

Thanks!

@casper-hansen
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Good to hear that. I’m trying to make the installation easier, it’s something I’m working hard on.

Next up is pip install autoawq :)

@casper-hansen casper-hansen mentioned this issue Sep 5, 2023
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