Failed to deploy because of torchmcubes

[Lucas-SJY]

I've got pytorch 2.3.1 with cuda 11.8 support, my torch.cuda.is_available() returned True, and I've got my nvcc -V ready, get the following output.
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

However, when I was trying to run pip install -r requirements.txt, I got problem installing torchmcubes.
Here is the output, could anyone help me fix it?

Building wheel for torchmcubes (pyproject.toml) ... error
error: subprocess-exited-with-error

× Building wheel for torchmcubes (pyproject.toml) did not run successfully.
│ exit code: 1
╰─> [40 lines of output]
*** scikit-build-core 0.9.8 using CMake 3.30.0 (wheel)
*** Configuring CMake...
loading initial cache file build/CMakeInit.txt
-- The CXX compiler identification is GNU 9.4.0
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Check for working CXX compiler: /usr/bin/g++ - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- Looking for a CUDA compiler
-- Looking for a CUDA compiler - NOTFOUND
-- NO CUDA INSTALLATION FOUND, INSTALLING CPU VERSION ONLY!
-- Found Python: /home/lucas/.conda/envs/tripo/bin/python (found version "3.9.19") found components: Interpreter Development Development.Module Development.Embed
-- Performing Test HAS_FLTO
-- Performing Test HAS_FLTO - Success
-- Found pybind11: /tmp/pip-build-env-t4ju3b91/overlay/lib/python3.9/site-packages/pybind11/include (found version "2.13.1")
-- Could NOT find OpenMP_CXX (missing: OpenMP_CXX_FLAGS OpenMP_CXX_LIB_NAMES)
-- Could NOT find OpenMP (missing: OpenMP_CXX_FOUND)
-- Could NOT find CUDA (missing: CUDA_INCLUDE_DIRS CUDA_CUDART_LIBRARY) (found version "11.8")
CMake Warning at /home/lucas/.conda/envs/tripo/lib/python3.9/site-packages/torch/share/cmake/Caffe2/public/cuda.cmake:31 (message):
Caffe2: CUDA cannot be found. Depending on whether you are building Caffe2
or a Caffe2 dependent library, the next warning / error will give you more
info.
Call Stack (most recent call first):
/home/lucas/.conda/envs/tripo/lib/python3.9/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:87 (include)
/home/lucas/.conda/envs/tripo/lib/python3.9/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package)
CMakeLists.txt:51 (find_package)

  CMake Error at /home/lucas/.conda/envs/tripo/lib/python3.9/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:91 (message):
    Your installed Caffe2 version uses CUDA but I cannot find the CUDA
    libraries.  Please set the proper CUDA prefixes and / or install CUDA.
  Call Stack (most recent call first):
    /home/lucas/.conda/envs/tripo/lib/python3.9/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package)
    CMakeLists.txt:51 (find_package)
  
  
  -- Configuring incomplete, errors occurred!
  
  *** CMake configuration failed
  [end of output]

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

[GeraltofRivia1776]

I get the same problem, I even get it with Pinokio and trying to install locally.

[gvlasov]

Same here, says CUDA compiler not found, but I do have it in my $PATH, it is at /opt/cuda/bin/nvcc, both for the shell I use to run venv/bin/pip install git+https://github.com/tatsy/torchmcubes.git and in ~/.bashrc for current user

[Sido-A]

I had similar issue on my windows 11 but found:
1>> #74 (comment)
(I didnt update the driver since it was the best one for my pc accoding to the message I got by clicking the 'driver update')

then followed the steps in this:
2>> #48 (comment)

and then solved torchmcube issue

[YuQiao0303]

I solved it on Linux following #48 (comment)

pip install git+https://github.com/tatsy/torchmcubes.git@3aef8afa5f21b113afc4f4ea148baee850cbd472