mmcv icon indicating copy to clipboard operation
mmcv copied to clipboard

Published 20 hours ago • verified publisher icon open-mmlab

[Bug] Could not build wheels for mmcv, which is required to install pyproject.toml-based projects

Open rbli-john opened this issue 1 year ago • 46 comments

Prerequisite

  • [X] I have searched Issues and Discussions but cannot get the expected help.
  • [X] The bug has not been fixed in the latest version(https://github.com/open-mmlab/mmcv).

Environment

Please see https://github.com/open-mmlab/mmdetection/issues/10873

Reproduces the problem - code sample

Please see https://github.com/open-mmlab/mmdetection/issues/10873 for details.

Reproduces the problem - command or script

Please see https://github.com/open-mmlab/mmdetection/issues/10873 for details.

Reproduces the problem - error message

Traceback (most recent call last): File "", line 2, in File "", line 34, in File "/private/var/folders/dv/wbjrnyb94pv5djk1y4dkb_bc0000gp/T/pip-install-dqtzkf49/mmcv_6a35770b2d544b4d877baaec1726bc41/setup.py", line 437, in setup( File "/Users/rongbin/anaconda3/envs/openmmlab/lib/python3.8/site-packages/setuptools/init.py", line 155, in setup return distutils.core.setup(**attrs) File "/Users/rongbin/anaconda3/envs/openmmlab/lib/python3.8/site-packages/setuptools/_distutils/core.py", line 148, in setup return run_commands(dist) File "/Users/rongbin/anaconda3/envs/openmmlab/lib/python3.8/site-packages/setuptools/_distutils/core.py", line 163, in run_commands dist.run_commands() File "/Users/rongbin/anaconda3/envs/openmmlab/lib/python3.8/site-packages/setuptools/_distutils/dist.py", line 967, in run_commands self.run_command(cmd) File "/Users/rongbin/anaconda3/envs/openmmlab/lib/python3.8/site-packages/setuptools/_distutils/dist.py", line 986, in run_command cmd_obj.run() File "/Users/rongbin/anaconda3/envs/openmmlab/lib/python3.8/site-packages/wheel/bdist_wheel.py", line 325, in run self.run_command("build") File "/Users/rongbin/anaconda3/envs/openmmlab/lib/python3.8/site-packages/setuptools/_distutils/cmd.py", line 313, in run_command self.distribution.run_command(command) File "/Users/rongbin/anaconda3/envs/openmmlab/lib/python3.8/site-packages/setuptools/_distutils/dist.py", line 986, in run_command cmd_obj.run() File "/Users/rongbin/anaconda3/envs/openmmlab/lib/python3.8/site-packages/setuptools/_distutils/command/build.py", line 135, in run self.run_command(cmd_name) File "/Users/rongbin/anaconda3/envs/openmmlab/lib/python3.8/site-packages/setuptools/_distutils/cmd.py", line 313, in run_command self.distribution.run_command(command) File "/Users/rongbin/anaconda3/envs/openmmlab/lib/python3.8/site-packages/setuptools/_distutils/dist.py", line 986, in run_command cmd_obj.run() File "/Users/rongbin/anaconda3/envs/openmmlab/lib/python3.8/site-packages/setuptools/command/build_ext.py", line 79, in run _build_ext.run(self) File "/Users/rongbin/anaconda3/envs/openmmlab/lib/python3.8/site-packages/setuptools/_distutils/command/build_ext.py", line 339, in run self.build_extensions() File "/Users/rongbin/anaconda3/envs/openmmlab/lib/python3.8/site-packages/torch/utils/cpp_extension.py", line 848, in build_extensions build_ext.build_extensions(self) File "/Users/rongbin/anaconda3/envs/openmmlab/lib/python3.8/site-packages/setuptools/_distutils/command/build_ext.py", line 448, in build_extensions self._build_extensions_serial() File "/Users/rongbin/anaconda3/envs/openmmlab/lib/python3.8/site-packages/setuptools/_distutils/command/build_ext.py", line 473, in _build_extensions_serial self.build_extension(ext) File "/Users/rongbin/anaconda3/envs/openmmlab/lib/python3.8/site-packages/setuptools/command/build_ext.py", line 202, in build_extension _build_ext.build_extension(self, ext) File "/Users/rongbin/anaconda3/envs/openmmlab/lib/python3.8/site-packages/setuptools/_distutils/command/build_ext.py", line 528, in build_extension objects = self.compiler.compile(sources, File "/Users/rongbin/anaconda3/envs/openmmlab/lib/python3.8/site-packages/torch/utils/cpp_extension.py", line 663, in unix_wrap_ninja_compile _write_ninja_file_and_compile_objects( File "/Users/rongbin/anaconda3/envs/openmmlab/lib/python3.8/site-packages/torch/utils/cpp_extension.py", line 1578, in _write_ninja_file_and_compile_objects _run_ninja_build( File "/Users/rongbin/anaconda3/envs/openmmlab/lib/python3.8/site-packages/torch/utils/cpp_extension.py", line 1921, 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: Failed building wheel for mmcv Running setup.py clean for mmcv Failed to build mmcv ERROR: Could not build wheels for mmcv, which is required to install pyproject.toml-based projects

Additional information

No response

rbli-john avatar Sep 19 '23 04:09 rbli-john

Hi @rbli-john , could you try to install wheel first?

zhouzaida avatar Sep 20 '23 03:09 zhouzaida

@zhouzaida You mean pip install wheel?

rbli-john avatar Sep 20 '23 05:09 rbli-john

@zhouzaida You mean pip install wheel?

yes

zhouzaida avatar Sep 20 '23 05:09 zhouzaida

i am also facing the same issue. tried installing wheel first but it was already installed so it did not help.

tomarvimal avatar Oct 06 '23 11:10 tomarvimal

I also have the same error

p0wned17 avatar Oct 06 '23 13:10 p0wned17

This issue may be caused by that the version of pytorch you have is 2.1.0. We will release a pre-compiled mmcv package that supports pytorch 2.1.0 in about a week, until then you can try to solve the problem by lowering your pytorch version to 2.0 or by compiling mmcv from source.

Help documentation for compiling mmcv from source: https://mmcv.readthedocs.io/en/latest/get_started/build.html

fanqiNO1 avatar Oct 07 '23 04:10 fanqiNO1

I am also facing the same issue, not able to build from source also and I am using torch version-1.11.0, even then I am facing this issue. This is my nvcc version: nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2022 NVIDIA Corporation Built on Wed_Sep_21_10:33:58_PDT_2022 Cuda compilation tools, release 11.8, V11.8.89 Build cuda_11.8.r11.8/compiler.31833905_0 how to solve this problem.

Can you provide more information? Such as the command or script did you run and the error traceback?

fanqiNO1 avatar Oct 08 '23 06:10 fanqiNO1

I am also facing the same issue, not able to build from source also and I am using torch version-1.11.0, even then I am facing this issue. This is my nvcc version: nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2022 NVIDIA Corporation Built on Wed_Sep_21_10:33:58_PDT_2022 Cuda compilation tools, release 11.8, V11.8.89 Build cuda_11.8.r11.8/compiler.31833905_0 how to solve this problem.

Can you provide more information? Such as the command or script did you run and the error traceback?

I am facing the same issue. The command is, as follows:

pip install -U openmim mim install mmengine mim install 'mmcv>=2.0.0rc1'

Also enclosed please kindly find the error message: mmcv_installation _error

I am also facing the same issue, not able to build from source also and I am using torch version-1.11.0, even then I am facing this issue. This is my nvcc version: nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2022 NVIDIA Corporation Built on Wed_Sep_21_10:33:58_PDT_2022 Cuda compilation tools, release 11.8, V11.8.89 Build cuda_11.8.r11.8/compiler.31833905_0 how to solve this problem.

Can you provide more information? Such as the command or script did you run and the error traceback?

I am facing the same issue. The command is, as follows:

pip install -U openmim mim install mmengine mim install 'mmcv>=2.0.0rc1'

Also enclosed please kindly find the error message: mmcv_installation _error

Sorry, I cannot reproduce the error. But you can check the version of gcc.

fanqiNO1 avatar Oct 09 '23 09:10 fanqiNO1

I encountered this problem too. And I solved it by pip installation regardless of mim. You can refer to their official documentation: customize-installation

whut-zhangwx avatar Oct 09 '23 14:10 whut-zhangwx

I am also facing the same issue, not able to build from source also and I am using torch version-1.11.0, even then I am facing this issue. This is my nvcc version: nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2022 NVIDIA Corporation Built on Wed_Sep_21_10:33:58_PDT_2022 Cuda compilation tools, release 11.8, V11.8.89 Build cuda_11.8.r11.8/compiler.31833905_0 how to solve this problem.

You can try to install mmcv from source. https://mmcv.readthedocs.io/en/latest/get_started/build.html#build-mmcv

fanqiNO1 avatar Oct 11 '23 03:10 fanqiNO1

I am also facing the same issue, not able to build from source also and I am using torch version-1.11.0, even then I am facing this issue. This is my nvcc version: nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2022 NVIDIA Corporation Built on Wed_Sep_21_10:33:58_PDT_2022 Cuda compilation tools, release 11.8, V11.8.89 Build cuda_11.8.r11.8/compiler.31833905_0 how to solve this problem.

You can try to install mmcv from source. https://mmcv.readthedocs.io/en/latest/get_started/build.html#build-mmcv

I have install mmcv from source, and it does show success. However, when I import mmcv, it throws an error. Successfully installed oncy Why does this happen? I desperately want to know how I can solve this problem. Thanks!

shhn1 avatar Oct 11 '23 09:10 shhn1

I am also facing the same issue, what's happening? [ 屏幕截图 2023-10-11 204607 屏幕截图 2023-10-11 204539

I need help, please!

LongboV avatar Oct 11 '23 12:10 LongboV

Same issue here. When will release a pre-compiled mmcv package that supports pytorch 2.1.0 ? Thanks!

chenscottus avatar Oct 12 '23 00:10 chenscottus

I am also facing the same issue, what's happening? [ 屏幕截图 2023-10-11 204607 屏幕截图 2023-10-11 204539

I need help, please!

I have solved the problem by lowering the pytorch version. thanks

LongboV avatar Oct 12 '23 01:10 LongboV

This is a version incompatibility issue and you may need to replace your pytorch version

changjingzhi avatar Oct 12 '23 05:10 changjingzhi

我也面临同样的问题，请问这是怎么回事？[屏幕截图 2023-10-11 204607 屏幕截图 2023-10-11 204539 我需要帮助，拜托！

我已经通过降低pytorch版本解决了这个问题。谢谢

请问你是降级到哪个pytorch版本解决这个问题的呢

YonghuiTAN22 avatar Oct 12 '23 12:10 YonghuiTAN22

This helped conda install pytorch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1 pytorch-cuda=11.7 -c pytorch -c nvidia

AnjanaWijesinghe avatar Oct 12 '23 14:10 AnjanaWijesinghe

I have built successfully with CUDA 12.2 and PyTourch 2.1.0+cu121

https://mmcv.readthedocs.io/en/latest/get_started/build.html

pip3 install -r requirements/optional.txt

pip3 install -e . -v

Validate the installation python3 .dev_scripts/check_installation.py

sys.platform: win32 Python: 3.11.5 (tags/v3.11.5:cce6ba9, Aug 24 2023, 14:38:34) [MSC v.1936 64 bit (AMD64)] CUDA available: True numpy_random_seed: 2147483648 GPU 0: NVIDIA RTX A6000 CUDA_HOME: C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.2 NVCC: Cuda compilation tools, release 12.2, V12.2.140 MSVC: Microsoft (R) C/C++ Optimizing Compiler Version 19.37.32825 for x64 GCC: n/a PyTorch: 2.1.0+cu121 PyTorch compiling details: PyTorch built with:

  • C++ Version: 199711
  • MSVC 192930151
  • Intel(R) Math Kernel Library Version 2020.0.2 Product Build 20200624 for Intel(R) 64 architecture applications
  • Intel(R) MKL-DNN v3.1.1 (Git Hash 64f6bcbcbab628e96f33a62c3e975f8535a7bde4)
  • OpenMP 2019
  • LAPACK is enabled (usually provided by MKL)
  • CPU capability usage: AVX512
  • CUDA Runtime 12.1
  • NVCC architecture flags: -gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-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=sm_90
  • CuDNN 8.8.1 (built against CUDA 12.0)
  • Magma 2.5.4
  • Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=12.1, CUDNN_VERSION=8.8.1, CXX_COMPILER=C:/actions-runner/_work/pytorch/pytorch/builder/windows/tmp_bin/sccache-cl.exe, CXX_FLAGS=/DWIN32 /D_WINDOWS /GR /EHsc /bigobj /FS -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE /utf-8 /wd4624 /wd4068 /wd4067 /wd4267 /wd4661 /wd4717 /wd4244 /wd4804 /wd4273, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_DISABLE_GPU_ASSERTS=OFF, TORCH_VERSION=2.1.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=OFF, USE_OPENMP=ON, USE_ROCM=OFF,

TorchVision: 0.16.0+cu121 OpenCV: 4.8.1 MMEngine: 0.7.3 MMCV: 2.1.0 MMCV Compiler: MSVC 193732825 MMCV CUDA Compiler: 12.2

chenscottus avatar Oct 12 '23 16:10 chenscottus

This issue may be caused by that the version of pytorch you have is 2.1.0. We will release a pre-compiled mmcv package that supports pytorch 2.1.0 in about a week, until then you can try to solve the problem by lowering your pytorch version to 2.0 or by compiling mmcv from source.

Help documentation for compiling mmcv from source: https://mmcv.readthedocs.io/en/latest/get_started/build.html

This work for me

I attempted to reinstall wheel with pip install wheel, but the error persisted. I then try lowering my Python version to 2.0.0, and it works. pip install torch==2.0.0 torchvision==0.15.1 Note that I am using mmdetection on Google Colab

chogerlate avatar Oct 19 '23 19:10 chogerlate

I have the same problem. I'm trying to run mit/bevfusion, but when configuring the environment I use pip install mmcv-full==1.4.0 -f https://download.openmmlab.com/mmcv/dist/cu113/torch1.10.1/index.html build wheel failed. My environment configuration is as follows: CUDA 11.3 Pytorch 1.10.1 gcc/g++ 7 Has anyone encountered the same problem and solved it? urgent need.

shingszelam avatar Oct 29 '23 03:10 shingszelam

I have the same problem. I'm trying to run mit/bevfusion, but when configuring the environment I use pip install mmcv-full==1.4.0 -f https://download.openmmlab.com/mmcv/dist/cu113/torch1.10.1/index.html build wheel failed. My environment configuration is as follows: CUDA 11.3 Pytorch 1.10.1 gcc/g++ 7 Has anyone encountered the same problem and solved it? urgent need.

It's because we do not provide the pre-complied MMCV package with torch1.10.1 and CUDA 11.3. You can try pip install mmcv-full==1.4.0 -f https://download.openmmlab.com/mmcv/dist/cu113/torch1.10/index.html

fanqiNO1 avatar Oct 30 '23 01:10 fanqiNO1

I have the same problem. I'm trying to run mit/bevfusion, but when configuring the environment I use pip install mmcv-full==1.4.0 -f https://download.openmmlab.com/mmcv/dist/cu113/torch1.10.1/index.html build wheel failed. My environment configuration is as follows: CUDA 11.3 Pytorch 1.10.1 gcc/g++ 7 Has anyone encountered the same problem and solved it? urgent need.

It's because we do not provide the pre-complied MMCV package with torch1.10.1 and CUDA 11.3. You can try pip install mmcv-full==1.4.0 -f https://download.openmmlab.com/mmcv/dist/cu113/torch1.10/index.html

Thank you for your reply. After waiting for a long time, it built successfully.

shingszelam avatar Oct 31 '23 08:10 shingszelam

This issue may be caused by that the version of pytorch you have is 2.1.0. We will release a pre-compiled mmcv package that supports pytorch 2.1.0 in about a week, until then you can try to solve the problem by lowering your pytorch version to 2.0 or by compiling mmcv from source. Help documentation for compiling mmcv from source: https://mmcv.readthedocs.io/en/latest/get_started/build.html

This work for me

I attempted to reinstall wheel with pip install wheel, but the error persisted. I then try lowering my Python version to 2.0.0, and it works. pip install torch==2.0.0 torchvision==0.15.1 Note that I am using mmdetection on Google Colab

He means lowering the Pytorch. The word made me confused at first glance 😅

klinsc avatar Nov 15 '23 03:11 klinsc

Same issue with [email protected] and [email protected]. I solved this problem several weeks ago, but now just forget what i did

russell0430 avatar Nov 16 '23 11:11 russell0430

image Can anyone please help me here?

for me, wheel could not build wheels for lm-eval, which is required to install pyproject.toml-based projects

PRCbubu avatar Dec 23 '23 20:12 PRCbubu

I have the same problem. I'm trying to run mit/bevfusion, but when configuring the environment I use pip install mmcv-full==1.4.0 -f https://download.openmmlab.com/mmcv/dist/cu113/torch1.10.1/index.html build wheel failed. My environment configuration is as follows: CUDA 11.3 Pytorch 1.10.1 gcc/g++ 7 Has anyone encountered the same problem and solved it? urgent need.

It's because we do not provide the pre-complied MMCV package with torch1.10.1 and CUDA 11.3. You can try pip install mmcv-full==1.4.0 -f https://download.openmmlab.com/mmcv/dist/cu113/torch1.10/index.html

Thanks, that really helpful, its work finally.

Awfa111 avatar Jan 02 '24 00:01 Awfa111

I have the same problem. I'm trying to run mit/bevfusion, but when configuring the environment I use pip install mmcv-full==1.4.0 -f https://download.openmmlab.com/mmcv/dist/cu113/torch1.10.1/index.html build wheel failed. My environment configuration is as follows: CUDA 11.3 Pytorch 1.10.1 gcc/g++ 7 Has anyone encountered the same problem and solved it? urgent need.

It's because we do not provide the pre-complied MMCV package with torch1.10.1 and CUDA 11.3. You can try pip install mmcv-full==1.4.0 -f https://download.openmmlab.com/mmcv/dist/cu113/torch1.10/index.html

I have the same issue with insightface package, how can I solve it?

check.warn(importable) #0 598.1 creating build/lib.linux-x86_64-cpython-39/insightface/data/images #0 598.1 copying insightface/data/images/Tom_Hanks_54745.png -> build/lib.linux-x86_64-cpython-39/insightface/data/images #0 598.1 copying insightface/data/images/mask_black.jpg -> build/lib.linux-x86_64-cpython-39/insightface/data/images #0 598.1 copying insightface/data/images/mask_blue.jpg -> build/lib.linux-x86_64-cpython-39/insightface/data/images #0 598.1 copying insightface/data/images/mask_green.jpg -> build/lib.linux-x86_64-cpython-39/insightface/data/images #0 598.1 copying insightface/data/images/mask_white.jpg -> build/lib.linux-x86_64-cpython-39/insightface/data/images #0 598.1 copying insightface/data/images/t1.jpg -> build/lib.linux-x86_64-cpython-39/insightface/data/images #0 598.1 creating build/lib.linux-x86_64-cpython-39/insightface/data/objects #0 598.1 copying insightface/data/objects/meanshape_68.pkl -> build/lib.linux-x86_64-cpython-39/insightface/data/objects #0 598.1 creating build/lib.linux-x86_64-cpython-39/insightface/thirdparty/face3d/mesh/cython #0 598.1 copying insightface/thirdparty/face3d/mesh/cython/mesh_core.cpp -> build/lib.linux-x86_64-cpython-39/insightface/thirdparty/face3d/mesh/cython #0 598.1 copying insightface/thirdparty/face3d/mesh/cython/mesh_core.h -> build/lib.linux-x86_64-cpython-39/insightface/thirdparty/face3d/mesh/cython #0 598.1 copying insightface/thirdparty/face3d/mesh/cython/mesh_core_cython.c -> build/lib.linux-x86_64-cpython-39/insightface/thirdparty/face3d/mesh/cython #0 598.1 copying insightface/thirdparty/face3d/mesh/cython/mesh_core_cython.cpp -> build/lib.linux-x86_64-cpython-39/insightface/thirdparty/face3d/mesh/cython #0 598.1 copying insightface/thirdparty/face3d/mesh/cython/mesh_core_cython.pyx -> build/lib.linux-x86_64-cpython-39/insightface/thirdparty/face3d/mesh/cython #0 598.1 copying insightface/thirdparty/face3d/mesh/cython/setup.py -> build/lib.linux-x86_64-cpython-39/insightface/thirdparty/face3d/mesh/cython #0 598.1 running build_ext #0 598.1 building 'insightface.thirdparty.face3d.mesh.cython.mesh_core_cython' extension #0 598.1 creating build/temp.linux-x86_64-cpython-39 #0 598.1 creating build/temp.linux-x86_64-cpython-39/insightface #0 598.1 creating build/temp.linux-x86_64-cpython-39/insightface/thirdparty #0 598.1 creating build/temp.linux-x86_64-cpython-39/insightface/thirdparty/face3d #0 598.1 creating build/temp.linux-x86_64-cpython-39/insightface/thirdparty/face3d/mesh #0 598.1 creating build/temp.linux-x86_64-cpython-39/insightface/thirdparty/face3d/mesh/cython #0 598.1 gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -Iinsightface/thirdparty/face3d/mesh/cython -I/tmp/pip-build-env-inxjfxz8/overlay/lib/python3.9/site-packages/numpy/core/include -I/var/lang/include/python3.9 -c insightface/thirdparty/face3d/mesh/cython/mesh_core.cpp -o build/temp.linux-x86_64-cpython-39/insightface/thirdparty/face3d/mesh/cython/mesh_core.o #0 598.1 error: command 'gcc' failed: No such file or directory #0 598.1 [end of output] #0 598.1
#0 598.1 note: This error originates from a subprocess, and is likely not a problem with pip. #0 598.1 ERROR: Failed building wheel for insightface #0 598.1 Failed to build insightface #0 598.1 ERROR: Could not build wheels for insightface, which is required to install pyproject.toml-based projects #0 598.1 #0 598.1 [notice] A new release of pip is available: 23.0.1 -> 23.3.2 #0 598.1 [notice] To update, run: pip install --upgrade pip

ERROR: failed to solve: executor failed running [/bin/sh -c python3.9 -m pip install -r requirements.txt -t .]: exit code: 1

galaltche avatar Jan 08 '24 05:01 galaltche

Hi @galaltche , what is your pytorch and cuda version? BTW, what is your command to install mmcv-full?

zhouzaida avatar Jan 08 '24 07:01 zhouzaida

Hi @galaltche , what is your pytorch and cuda version? BTW, what is your command to install mmcv-full?

torch==2.1.2 and Cuda 9.1

galaltche avatar Jan 08 '24 18:01 galaltche

Hi @galaltche , what is your pytorch and cuda version? BTW, what is your command to install mmcv-full?

torch==2.1.2 and Cuda 9.1

Hi, torch2.1.2 should not provide the pre-built packages for cuda 9.1 so we also do not support it. Could you use cuda11.8 or cuda12.1?

zhouzaida avatar Jan 09 '24 03:01 zhouzaida