PyTorch-Encoding
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zhanghang1989
gtx3090，cuda=11.0，pytorch=1.7, 报错nvcc fatal : Unsupported gpu architecture 'compute_86'
宁好，我再gtx3090，cuda=11.0，pytorch=1.7的环境下尝试安装，但是报错nvcc fatal : Unsupported gpu architecture 'compute_86'，请问这种情况该怎么处理呢？
宁好，我再gtx3090，cuda=11.0，pytorch=1.7的环境下尝试安装，但是报错nvcc fatal : Unsupported gpu architecture 'compute_86'，请问这种情况该怎么处理呢？
Hi, you can try this line: export TORCH_CUDA_ARCH_LIST="7.5" in your comannd window, then to build xxxx. I use this sentence to overcome this problem since 86 is too high for this cuda program.
thanks for your advice! It works~
------------------ Original ------------------ From: @.>; Send time: Thursday, Apr 8, 2021 10:33 PM @.>; @.>; @.>; Subject: Re: [zhanghang1989/PyTorch-Encoding] gtx3090，cuda=11.0，pytorch=1.7, 报错nvcc fatal : Unsupported gpu architecture 'compute_86' (#383)
宁好，我再gtx3090，cuda=11.0，pytorch=1.7的环境下尝试安装，但是报错nvcc fatal : Unsupported gpu architecture 'compute_86'，请问这种情况该怎么处理呢？
Hi, you can try this line: export TORCH_CUDA_ARCH_LIST="7.5" in your comannd window, then to build xxxx. I use this sentence to overcome this problem since 86 is too high for this cuda program.
— You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.
thanks for your advice! It works~ … ------------------ Original ------------------ From: @.>; Send time: Thursday, Apr 8, 2021 10:33 PM @.>; @.>; @.>; Subject: Re: [zhanghang1989/PyTorch-Encoding] gtx3090，cuda=11.0，pytorch=1.7, 报错nvcc fatal : Unsupported gpu architecture 'compute_86' (#383) 宁好，我再gtx3090，cuda=11.0，pytorch=1.7的环境下尝试安装，但是报错nvcc fatal : Unsupported gpu architecture 'compute_86'，请问这种情况该怎么处理呢？ Hi, you can try this line: export TORCH_CUDA_ARCH_LIST="7.5" in your comannd window, then to build xxxx. I use this sentence to overcome this problem since 86 is too high for this cuda program. — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.
宁好，我再gtx3090，cuda=11.0，pytorch=1.7的环境下尝试安装，但是报错nvcc fatal : Unsupported gpu architecture 'compute_86'，请问这种情况该怎么处理呢？
Hi, you can try this line: export TORCH_CUDA_ARCH_LIST="7.5" in your comannd window, then to build xxxx. I use this sentence to overcome this problem since 86 is too high for this cuda program.
I followed this but still can not install。。。。。
copying encoding/version.py -> build/lib.linux-x86_64-3.7/encoding running build_ext building 'encoding.gpu' extension gcc -pthread -B /home/yuejiutao/anaconda3/envs/taming/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -DWITH_CUDA -I/home/yuejiutao/Code/PyTorch-Encoding/encoding/lib/cpu -I/home/yuejiutao/anaconda3/envs/taming/lib/python3.7/site-packages/torch/include -I/home/yuejiutao/anaconda3/envs/taming/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/home/yuejiutao/anaconda3/envs/taming/lib/python3.7/site-packages/torch/include/TH -I/home/yuejiutao/anaconda3/envs/taming/lib/python3.7/site-packages/torch/include/THC -I/home/yuejiutao/Code/PyTorch-Encoding/encoding/lib/gpu -I/home/yuejiutao/anaconda3/envs/taming/lib/python3.7/site-packages/torch/include -I/home/yuejiutao/anaconda3/envs/taming/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/home/yuejiutao/anaconda3/envs/taming/lib/python3.7/site-packages/torch/include/TH -I/home/yuejiutao/anaconda3/envs/taming/lib/python3.7/site-packages/torch/include/THC -I/usr/local/cuda/include -I/home/yuejiutao/anaconda3/envs/taming/include/python3.7m -c /home/yuejiutao/Code/PyTorch-Encoding/encoding/lib/gpu/operator.cpp -o build/temp.linux-x86_64-3.7/home/yuejiutao/Code/PyTorch-Encoding/encoding/lib/gpu/operator.o -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="_gcc" -DPYBIND11_STDLIB="_libstdcpp" -DPYBIND11_BUILD_ABI="_cxxabi1011" -DTORCH_EXTENSION_NAME=gpu -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14 cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ In file included from /home/yuejiutao/anaconda3/envs/taming/lib/python3.7/site-packages/torch/include/ATen/Parallel.h:140, from /home/yuejiutao/anaconda3/envs/taming/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/utils.h:3, from /home/yuejiutao/anaconda3/envs/taming/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:5, from /home/yuejiutao/anaconda3/envs/taming/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/nn.h:3, from /home/yuejiutao/anaconda3/envs/taming/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:13, from /home/yuejiutao/anaconda3/envs/taming/lib/python3.7/site-packages/torch/include/torch/extension.h:4, from /home/yuejiutao/Code/PyTorch-Encoding/encoding/lib/gpu/operator.h:1, from /home/yuejiutao/Code/PyTorch-Encoding/encoding/lib/gpu/operator.cpp:1: /home/yuejiutao/anaconda3/envs/taming/lib/python3.7/site-packages/torch/include/ATen/ParallelOpenMP.h:83: warning: ignoring #pragma omp parallel [-Wunknown-pragmas] #pragma omp parallel for if ((end - begin) >= grain_size)
/usr/local/cuda/bin/nvcc -DWITH_CUDA -I/home/yuejiutao/Code/PyTorch-Encoding/encoding/lib/cpu -I/home/yuejiutao/anaconda3/envs/taming/lib/python3.7/site-packages/torch/include -I/home/yuejiutao/anaconda3/envs/taming/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/home/yuejiutao/anaconda3/envs/taming/lib/python3.7/site-packages/torch/include/TH -I/home/yuejiutao/anaconda3/envs/taming/lib/python3.7/site-packages/torch/include/THC -I/home/yuejiutao/Code/PyTorch-Encoding/encoding/lib/gpu -I/home/yuejiutao/anaconda3/envs/taming/lib/python3.7/site-packages/torch/include -I/home/yuejiutao/anaconda3/envs/taming/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/home/yuejiutao/anaconda3/envs/taming/lib/python3.7/site-packages/torch/include/TH -I/home/yuejiutao/anaconda3/envs/taming/lib/python3.7/site-packages/torch/include/THC -I/usr/local/cuda/include -I/home/yuejiutao/anaconda3/envs/taming/include/python3.7m -c /home/yuejiutao/Code/PyTorch-Encoding/encoding/lib/gpu/roi_align_kernel.cu -o build/temp.linux-x86_64-3.7/home/yuejiutao/Code/PyTorch-Encoding/encoding/lib/gpu/roi_align_kernel.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' -DCUDA_HAS_FP16=1 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="_gcc" -DPYBIND11_STDLIB="_libstdcpp" -DPYBIND11_BUILD_ABI="_cxxabi1011" -DTORCH_EXTENSION_NAME=gpu -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_75,code=sm_75 -std=c++14 /usr/include/c++/8/bits/basic_string.tcc: In instantiation of ‘static std::basic_string<_CharT, _Traits, _Alloc>::_Rep* std::basic_string<_CharT, _Traits, _Alloc>::_Rep::_S_create(std::basic_string<_CharT, _Traits, _Alloc>::size_type, std::basic_string<_CharT, _Traits, _Alloc>::size_type, const _Alloc&) [with _CharT = char16_t; _Traits = std::char_traits<char16_t>; _Alloc = std::allocator<char16_t>; std::basic_string<_CharT, _Traits, _Alloc>::size_type = long unsigned int]’: /usr/include/c++/8/bits/basic_string.tcc:578:28: required from ‘static _CharT* std::basic_string<_CharT, _Traits, _Alloc>::_S_construct(_InIterator, _InIterator, const _Alloc&, std::forward_iterator_tag) [with _FwdIterator = const char16_t*; _CharT = char16_t; _Traits = std::char_traits<char16_t>; _Alloc = std::allocator<char16_t>]’ /usr/include/c++/8/bits/basic_string.h:5052:20: required from ‘static _CharT* std::basic_string<_CharT, _Traits, _Alloc>::_S_construct_aux(_InIterator, _InIterator, const _Alloc&, std::__false_type) [with _InIterator = const char16_t*; _CharT = char16_t; _Traits = std::char_traits<char16_t>; _Alloc = std::allocator<char16_t>]’ /usr/include/c++/8/bits/basic_string.h:5073:24: required from ‘static _CharT* std::basic_string<_CharT, _Traits, _Alloc>::_S_construct(_InIterator, _InIterator, const _Alloc&) [with _InIterator = const char16_t*; _CharT = char16_t; _Traits = std::char_traits<char16_t>; _Alloc = std::allocator<char16_t>]’ /usr/include/c++/8/bits/basic_string.tcc:656:134: required from ‘std::basic_string<_CharT, _Traits, _Alloc>::basic_string(const _CharT*, std::basic_string<_CharT, _Traits, _Alloc>::size_type, const _Alloc&) [with _CharT = char16_t; _Traits = std::char_traits<char16_t>; _Alloc = std::allocator<char16_t>; std::basic_string<_CharT, _Traits, _Alloc>::size_type = long unsigned int]’ /usr/include/c++/8/bits/basic_string.h:6725:95: required from here /usr/include/c++/8/bits/basic_string.tcc:1067:1: error: cannot call member function ‘void std::basic_string<_CharT, _Traits, _Alloc>::_Rep::_M_set_sharable() [with _CharT = char16_t; _Traits = std::char_traits<char16_t>; _Alloc = std::allocator<char16_t>]’ without object __p->_M_set_sharable(); ^ ~~~~~~~~~ /usr/include/c++/8/bits/basic_string.tcc: In instantiation of ‘static std::basic_string<_CharT, _Traits, _Alloc>::_Rep* std::basic_string<_CharT, _Traits, _Alloc>::_Rep::_S_create(std::basic_string<_CharT, _Traits, _Alloc>::size_type, std::basic_string<_CharT, _Traits, _Alloc>::size_type, const _Alloc&) [with _CharT = char32_t; _Traits = std::char_traits<char32_t>; _Alloc = std::allocator<char32_t>; std::basic_string<_CharT, _Traits, _Alloc>::size_type = long unsigned int]’: /usr/include/c++/8/bits/basic_string.tcc:578:28: required from ‘static _CharT* std::basic_string<_CharT, _Traits, _Alloc>::_S_construct(_InIterator, _InIterator, const _Alloc&, std::forward_iterator_tag) [with _FwdIterator = const char32_t*; _CharT = char32_t; _Traits = std::char_traits<char32_t>; _Alloc = std::allocator<char32_t>]’ /usr/include/c++/8/bits/basic_string.h:5052:20: required from ‘static _CharT* std::basic_string<_CharT, _Traits, _Alloc>::_S_construct_aux(_InIterator, _InIterator, const _Alloc&, std::__false_type) [with _InIterator = const char32_t*; _CharT = char32_t; _Traits = std::char_traits<char32_t>; _Alloc = std::allocator<char32_t>]’ /usr/include/c++/8/bits/basic_string.h:5073:24: required from ‘static _CharT* std::basic_string<_CharT, _Traits, _Alloc>::_S_construct(_InIterator, _InIterator, const _Alloc&) [with _InIterator = const char32_t*; _CharT = char32_t; _Traits = std::char_traits<char32_t>; _Alloc = std::allocator<char32_t>]’ /usr/include/c++/8/bits/basic_string.tcc:656:134: required from ‘std::basic_string<_CharT, _Traits, _Alloc>::basic_string(const _CharT*, std::basic_string<_CharT, _Traits, _Alloc>::size_type, const _Alloc&) [with _CharT = char32_t; _Traits = std::char_traits<char32_t>; _Alloc = std::allocator<char32_t>; std::basic_string<_CharT, _Traits, _Alloc>::size_type = long unsigned int]’ /usr/include/c++/8/bits/basic_string.h:6730:95: required from here /usr/include/c++/8/bits/basic_string.tcc:1067:1: error: cannot call member function ‘void std::basic_string<_CharT, _Traits, _Alloc>::_Rep::_M_set_sharable() [with _CharT = char32_t; _Traits = std::char_traits<char32_t>; _Alloc = std::allocator<char32_t>]’ without object error: command '/usr/local/cuda/bin/nvcc' failed with exit status 1
宁好，我再gtx3090，cuda=11.0，pytorch=1.7的环境下尝试安装，但是报错nvcc fatal : Unsupported gpu architecture 'compute_86'，请问这种情况该怎么处理呢？
Hi, you can try this line: export TORCH_CUDA_ARCH_LIST="7.5" in your comannd window, then to build xxxx. I use this sentence to overcome this problem since 86 is too high for this cuda program.
can you help me....
宁好，我再gtx3090，cuda=11.0，pytorch=1.7的环境下尝试安装，但是报错nvcc fatal : Unsupported gpu architecture 'compute_86'，请问这种情况该怎么处理呢？
Hi, you can try this line: export TORCH_CUDA_ARCH_LIST="7.5" in your comannd window, then to build xxxx. I use this sentence to overcome this problem since 86 is too high for this cuda program.
what is the means of build ****
Do we follow the install instruction:
git clone https://github.com/zhanghang1989/PyTorch-Encoding && cd PyTorch-Encoding
ubuntu
python setup.py install
宁好，我再gtx3090，cuda=11.0，pytorch=1.7的环境下尝试安装，但是报错nvcc fatal : Unsupported gpu architecture 'compute_86'，请问这种情况该怎么处理呢？
请问你是根据 https://hangzhang.org/PyTorch-Encoding/notes/compile.html 这里的安装教程进行安装的吗 可不可以指导我一下。。。
Hi. Last "build xxx" means we follow the instruction provided by the author to install module "encoding" which needs build again on your machine.
---原始邮件--- 发件人: @.> 发送时间: 2021年4月8日(周四) 晚上11:36 收件人: @.>; 抄送: @.@.>; 主题: Re: [zhanghang1989/PyTorch-Encoding] gtx3090，cuda=11.0，pytorch=1.7, 报错nvcc fatal : Unsupported gpu architecture 'compute_86' (#383)
宁好，我再gtx3090，cuda=11.0，pytorch=1.7的环境下尝试安装，但是报错nvcc fatal : Unsupported gpu architecture 'compute_86'，请问这种情况该怎么处理呢？
Hi, you can try this line: export TORCH_CUDA_ARCH_LIST="7.5" in your comannd window, then to build xxxx. I use this sentence to overcome this problem since 86 is too high for this cuda program.
what is the means of build ****
Do we follow the install instruction:
git clone https://github.com/zhanghang1989/PyTorch-Encoding && cd PyTorch-Encoding
ubuntu
python setup.py install
— You are receiving this because you commented. Reply to this email directly, view it on GitHub, or unsubscribe.
Hi. I tried to install this module on windows or Ubuntu with several settings following the instruction doc. The only successful setting in my trying is "Ubuntu-20.4systemVersion+cuda10.1+pytorch1.6". Maybe there are other options of environments support install it. You may try my configuration. BTW, I think OS version and cuda version is very important in this job. Good luck.
---原始邮件--- 发件人: @.> 发送时间: 2021年4月8日(周四) 晚上11:41 收件人: @.>; 抄送: @.@.>; 主题: Re: [zhanghang1989/PyTorch-Encoding] gtx3090，cuda=11.0，pytorch=1.7, 报错nvcc fatal : Unsupported gpu architecture 'compute_86' (#383)
宁好，我再gtx3090，cuda=11.0，pytorch=1.7的环境下尝试安装，但是报错nvcc fatal : Unsupported gpu architecture 'compute_86'，请问这种情况该怎么处理呢？
请问你是根据 https://hangzhang.org/PyTorch-Encoding/notes/compile.html 这里的安装教程进行安装的吗 可不可以指导我一下。。。
— You are receiving this because you commented. Reply to this email directly, view it on GitHub, or unsubscribe.
okay , i try it again....
------------------ 原始邮件 ------------------ 发件人: "zhanghang1989/PyTorch-Encoding" @.>; 发送时间: 2021年4月8日(星期四) 晚上11:53 @.>; @.@.>; 主题: Re: [zhanghang1989/PyTorch-Encoding] gtx3090，cuda=11.0，pytorch=1.7, 报错nvcc fatal : Unsupported gpu architecture 'compute_86' (#383)
Hi. I tried to install this module on windows or Ubuntu with several settings following the instruction doc. The only successful setting in my trying is "Ubuntu-20.4systemVersion+cuda10.1+pytorch1.6". Maybe there are other options of environments support install it. You may try my configuration. BTW, I think OS version and cuda version is very important in this job. Good luck.
---原始邮件--- 发件人: @.> 发送时间: 2021年4月8日(周四) 晚上11:41 收件人: @.>; 抄送: @.@.>; 主题: Re: [zhanghang1989/PyTorch-Encoding] gtx3090，cuda=11.0，pytorch=1.7, 报错nvcc fatal : Unsupported gpu architecture 'compute_86' (#383)
宁好，我再gtx3090，cuda=11.0，pytorch=1.7的环境下尝试安装，但是报错nvcc fatal : Unsupported gpu architecture 'compute_86'，请问这种情况该怎么处理呢？
请问你是根据 https://hangzhang.org/PyTorch-Encoding/notes/compile.html 这里的安装教程进行安装的吗 可不可以指导我一下。。。
— You are receiving this because you commented. Reply to this email directly, view it on GitHub, or unsubscribe. — You are receiving this because you commented. Reply to this email directly, view it on GitHub, or unsubscribe.
okay , i try it again.... … ------------------ 原始邮件 ------------------ 发件人: "zhanghang1989/PyTorch-Encoding" @.>; 发送时间: 2021年4月8日(星期四) 晚上11:53 @.>; @.@.>; 主题: Re: [zhanghang1989/PyTorch-Encoding] gtx3090，cuda=11.0，pytorch=1.7, 报错nvcc fatal : Unsupported gpu architecture 'compute_86' (#383) Hi. I tried to install this module on windows or Ubuntu with several settings following the instruction doc. The only successful setting in my trying is "Ubuntu-20.4systemVersion+cuda10.1+pytorch1.6". Maybe there are other options of environments support install it. You may try my configuration. BTW, I think OS version and cuda version is very important in this job. Good luck. ---原始邮件--- 发件人: @.> 发送时间: 2021年4月8日(周四) 晚上11:41 收件人: @.>; 抄送: @.@.>; 主题: Re: [zhanghang1989/PyTorch-Encoding] gtx3090，cuda=11.0，pytorch=1.7, 报错nvcc fatal : Unsupported gpu architecture 'compute_86' (#383) 宁好，我再gtx3090，cuda=11.0，pytorch=1.7的环境下尝试安装，但是报错nvcc fatal : Unsupported gpu architecture 'compute_86'，请问这种情况该怎么处理呢？ 请问你是根据 https://hangzhang.org/PyTorch-Encoding/notes/compile.html 这里的安装教程进行安装的吗 可不可以指导我一下。。。 — You are receiving this because you commented. Reply to this email directly, view it on GitHub, or unsubscribe. — You are receiving this because you commented. Reply to this email directly, view it on GitHub, or unsubscribe.
Hi, i think you should check your nvcc version. My nvcc version is 11.0.