[Installation] Errors when installing on Ubuntu20.04

[DayBeha]

Is there an existing issue for this?

• I have searched the existing issues

Have you followed all the steps in the FAQ?

• I have tried the steps in the FAQ.

Current Behavior

pip install --upgrade git+https://github.com/mit-han-lab/torchsparse.git@v1.4.0

Error Line

error: subprocess-exited-with-error
RuntimeError: Error compiling objects for extension
error: legacy-install-failure

Environment

- GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0
- NVCC:Cuda compilation tools, release 11.6, V11.6.124
- PyTorch:1.13.1
- PyTorch CUDA:11.6

Full Error Log

Error Log

Installing collected packages: torchsparse
  Running setup.py install for torchsparse ... error
  error: subprocess-exited-with-error
  
  × Running setup.py install for torchsparse did not run successfully.
  │ exit code: 1
  ╰─> [164 lines of output]
      running install
      /home/daybeha/anaconda3/envs/sparse_conv/lib/python3.8/site-packages/setuptools/command/install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.
        warnings.warn(
      running build
      running build_py
      creating build
      creating build/lib.linux-x86_64-cpython-38
      creating build/lib.linux-x86_64-cpython-38/torchsparse
      copying torchsparse/__init__.py -> build/lib.linux-x86_64-cpython-38/torchsparse
      copying torchsparse/operators.py -> build/lib.linux-x86_64-cpython-38/torchsparse
      copying torchsparse/version.py -> build/lib.linux-x86_64-cpython-38/torchsparse
      copying torchsparse/tensor.py -> build/lib.linux-x86_64-cpython-38/torchsparse
      creating build/lib.linux-x86_64-cpython-38/torchsparse/nn
      copying torchsparse/nn/__init__.py -> build/lib.linux-x86_64-cpython-38/torchsparse/nn
      creating build/lib.linux-x86_64-cpython-38/torchsparse/utils
      copying torchsparse/utils/__init__.py -> build/lib.linux-x86_64-cpython-38/torchsparse/utils
      copying torchsparse/utils/utils.py -> build/lib.linux-x86_64-cpython-38/torchsparse/utils
      copying torchsparse/utils/collate.py -> build/lib.linux-x86_64-cpython-38/torchsparse/utils
      copying torchsparse/utils/quantize.py -> build/lib.linux-x86_64-cpython-38/torchsparse/utils
      creating build/lib.linux-x86_64-cpython-38/torchsparse/nn/modules
      copying torchsparse/nn/modules/__init__.py -> build/lib.linux-x86_64-cpython-38/torchsparse/nn/modules
      copying torchsparse/nn/modules/crop.py -> build/lib.linux-x86_64-cpython-38/torchsparse/nn/modules
      copying torchsparse/nn/modules/norm.py -> build/lib.linux-x86_64-cpython-38/torchsparse/nn/modules
      copying torchsparse/nn/modules/activation.py -> build/lib.linux-x86_64-cpython-38/torchsparse/nn/modules
      copying torchsparse/nn/modules/bev.py -> build/lib.linux-x86_64-cpython-38/torchsparse/nn/modules
      copying torchsparse/nn/modules/conv.py -> build/lib.linux-x86_64-cpython-38/torchsparse/nn/modules
      copying torchsparse/nn/modules/pooling.py -> build/lib.linux-x86_64-cpython-38/torchsparse/nn/modules
      creating build/lib.linux-x86_64-cpython-38/torchsparse/nn/utils
      copying torchsparse/nn/utils/__init__.py -> build/lib.linux-x86_64-cpython-38/torchsparse/nn/utils
      copying torchsparse/nn/utils/kernel.py -> build/lib.linux-x86_64-cpython-38/torchsparse/nn/utils
      copying torchsparse/nn/utils/apply.py -> build/lib.linux-x86_64-cpython-38/torchsparse/nn/utils
      creating build/lib.linux-x86_64-cpython-38/torchsparse/nn/functional
      copying torchsparse/nn/functional/__init__.py -> build/lib.linux-x86_64-cpython-38/torchsparse/nn/functional
      copying torchsparse/nn/functional/voxelize.py -> build/lib.linux-x86_64-cpython-38/torchsparse/nn/functional
      copying torchsparse/nn/functional/hash.py -> build/lib.linux-x86_64-cpython-38/torchsparse/nn/functional
      copying torchsparse/nn/functional/downsample.py -> build/lib.linux-x86_64-cpython-38/torchsparse/nn/functional
      copying torchsparse/nn/functional/crop.py -> build/lib.linux-x86_64-cpython-38/torchsparse/nn/functional
      copying torchsparse/nn/functional/query.py -> build/lib.linux-x86_64-cpython-38/torchsparse/nn/functional
      copying torchsparse/nn/functional/activation.py -> build/lib.linux-x86_64-cpython-38/torchsparse/nn/functional
      copying torchsparse/nn/functional/count.py -> build/lib.linux-x86_64-cpython-38/torchsparse/nn/functional
      copying torchsparse/nn/functional/conv.py -> build/lib.linux-x86_64-cpython-38/torchsparse/nn/functional
      copying torchsparse/nn/functional/devoxelize.py -> build/lib.linux-x86_64-cpython-38/torchsparse/nn/functional
      copying torchsparse/nn/functional/pooling.py -> build/lib.linux-x86_64-cpython-38/torchsparse/nn/functional
      running build_ext
      building 'torchsparse.backend' extension
      creating /tmp/pip-req-build-n6e_uwin/build/temp.linux-x86_64-cpython-38
      creating /tmp/pip-req-build-n6e_uwin/build/temp.linux-x86_64-cpython-38/torchsparse
      creating /tmp/pip-req-build-n6e_uwin/build/temp.linux-x86_64-cpython-38/torchsparse/backend
      creating /tmp/pip-req-build-n6e_uwin/build/temp.linux-x86_64-cpython-38/torchsparse/backend/convolution
      creating /tmp/pip-req-build-n6e_uwin/build/temp.linux-x86_64-cpython-38/torchsparse/backend/devoxelize
      creating /tmp/pip-req-build-n6e_uwin/build/temp.linux-x86_64-cpython-38/torchsparse/backend/hash
      creating /tmp/pip-req-build-n6e_uwin/build/temp.linux-x86_64-cpython-38/torchsparse/backend/hashmap
      creating /tmp/pip-req-build-n6e_uwin/build/temp.linux-x86_64-cpython-38/torchsparse/backend/others
      creating /tmp/pip-req-build-n6e_uwin/build/temp.linux-x86_64-cpython-38/torchsparse/backend/voxelize
      Emitting ninja build file /tmp/pip-req-build-n6e_uwin/build/temp.linux-x86_64-cpython-38/build.ninja...
      Compiling objects...
      Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
      [1/15] c++ -MMD -MF /tmp/pip-req-build-n6e_uwin/build/temp.linux-x86_64-cpython-38/torchsparse/backend/hashmap/hashmap_cpu.o.d -pthread -B /home/daybeha/anaconda3/envs/sparse_conv/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/home/daybeha/anaconda3/envs/sparse_conv/lib/python3.8/site-packages/torch/include -I/home/daybeha/anaconda3/envs/sparse_conv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/home/daybeha/anaconda3/envs/sparse_conv/lib/python3.8/site-packages/torch/include/TH -I/home/daybeha/anaconda3/envs/sparse_conv/lib/python3.8/site-packages/torch/include/THC -I/usr/local/cuda-11.6/include -I/home/daybeha/anaconda3/envs/sparse_conv/include/python3.8 -c -c /tmp/pip-req-build-n6e_uwin/torchsparse/backend/hashmap/hashmap_cpu.cpp -o /tmp/pip-req-build-n6e_uwin/build/temp.linux-x86_64-cpython-38/torchsparse/backend/hashmap/hashmap_cpu.o -g -O3 -fopenmp -lgomp -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=backend -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++
......
      [15/15] /usr/local/cuda-11.6/bin/nvcc  -I/home/daybeha/anaconda3/envs/sparse_conv/lib/python3.8/site-packages/torch/include -I/home/daybeha/anaconda3/envs/sparse_conv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/home/daybeha/anaconda3/envs/sparse_conv/lib/python3.8/site-packages/torch/include/TH -I/home/daybeha/anaconda3/envs/sparse_conv/lib/python3.8/site-packages/torch/include/THC -I/usr/local/cuda-11.6/include -I/home/daybeha/anaconda3/envs/sparse_conv/include/python3.8 -c -c /tmp/pip-req-build-n6e_uwin/torchsparse/backend/others/count_cuda.cu -o /tmp/pip-req-build-n6e_uwin/build/temp.linux-x86_64-cpython-38/torchsparse/backend/others/count_cuda.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 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=backend -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 -std=c++14
      ninja: build stopped: subcommand failed.
      Traceback (most recent call last):
        File "/home/daybeha/anaconda3/envs/sparse_conv/lib/python3.8/site-packages/torch/utils/cpp_extension.py", line 1900, in _run_ninja_build
          subprocess.run(
        File "/home/daybeha/anaconda3/envs/sparse_conv/lib/python3.8/subprocess.py", line 512, 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 "/tmp/pip-req-build-n6e_uwin/setup.py", line 30, in <module>
          setup(
        File "/home/daybeha/anaconda3/envs/sparse_conv/lib/python3.8/site-packages/setuptools/__init__.py", line 108, in setup
          return distutils.core.setup(**attrs)
        File "/home/daybeha/anaconda3/envs/sparse_conv/lib/python3.8/site-packages/setuptools/_distutils/core.py", line 185, in setup
          return run_commands(dist)
        File "/home/daybeha/anaconda3/envs/sparse_conv/lib/python3.8/site-packages/setuptools/_distutils/core.py", line 201, in run_commands
          dist.run_commands()
    ......
        File "/home/daybeha/anaconda3/envs/sparse_conv/lib/python3.8/site-packages/torch/utils/cpp_extension.py", line 658, in unix_wrap_ninja_compile
          _write_ninja_file_and_compile_objects(
        File "/home/daybeha/anaconda3/envs/sparse_conv/lib/python3.8/site-packages/torch/utils/cpp_extension.py", line 1573, in _write_ninja_file_and_compile_objects
          _run_ninja_build(
        File "/home/daybeha/anaconda3/envs/sparse_conv/lib/python3.8/site-packages/torch/utils/cpp_extension.py", line 1916, 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: legacy-install-failure

× Encountered error while trying to install package.
╰─> torchsparse

note: This is an issue with the package mentioned above, not pip.
hint: See above for output from the failure.

[Tang1705]

没有安装ninja?

[DayBeha]

没有安装ninja?

不清楚诶，应该怎么验证或者怎么安装呢？

[Tang1705]

apt install ninja-build

没有安装ninja?

不清楚诶，应该怎么验证或者怎么安装呢？

apt install ninja-build

[DayBeha]

apt install ninja-build

没有安装ninja?

不清楚诶，应该怎么验证或者怎么安装呢？

apt install ninja-build

still not work

[Tang1705]

subprocess.CalledProcessError: Command '['ninja', '-v']' returned non-zero exit status 1.

[Tang1705]

将anaconda环境下的 lib/python3.5/dist-packages/torch/utils/cpp_extension.py文件

将['ninja','-v']改成['ninja','--v'] 或者['ninja','--version']

---

在/home/jinjing/anaconda3/envs/maskrcnn_benchmark/lib/python3.8/site-packages/torch/utils/cpp_extension.py中将['ninja','-v']改成['ninja','--v'] 或者['ninja','--version']

---

sudo apt-get install libgl-dev

[DayBeha]

将anaconda环境下的 lib/python3.5/dist-packages/torch/utils/cpp_extension.py文件

将['ninja','-v']改成['ninja','--v'] 或者['ninja','--version']

在/home/jinjing/anaconda3/envs/maskrcnn_benchmark/lib/python3.8/site-packages/torch/utils/cpp_extension.py中将['ninja','-v']改成['ninja','--v'] 或者['ninja','--version']

sudo apt-get install libgl-dev

Thanks. It seems fixed, but new errors appear:

      g++ -pthread -B /home/daybeha/anaconda3/envs/sparse_conv/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /home/daybeha/anaconda3/envs/sparse_conv/compiler_compat -L/home/daybeha/anaconda3/envs/sparse_conv/lib -Wl,-rpath=/home/daybeha/anaconda3/envs/sparse_conv/lib -Wl,--no-as-needed -Wl,--sysroot=/ /tmp/pip-req-build-ku51h8dv/build/temp.linux-x86_64-cpython-38/torchsparse/backend/convolution/convolution_cpu.o /tmp/pip-req-build-ku51h8dv/build/temp.linux-x86_64-cpython-38/torchsparse/backend/convolution/convolution_cuda.o /tmp/pip-req-build-ku51h8dv/build/temp.linux-x86_64-cpython-38/torchsparse/backend/devoxelize/devoxelize_cpu.o /tmp/pip-req-build-ku51h8dv/build/temp.linux-x86_64-cpython-38/torchsparse/backend/devoxelize/devoxelize_cuda.o /tmp/pip-req-build-ku51h8dv/build/temp.linux-x86_64-cpython-38/torchsparse/backend/hash/hash_cpu.o /tmp/pip-req-build-ku51h8dv/build/temp.linux-x86_64-cpython-38/torchsparse/backend/hash/hash_cuda.o /tmp/pip-req-build-ku51h8dv/build/temp.linux-x86_64-cpython-38/torchsparse/backend/hashmap/hashmap_cpu.o /tmp/pip-req-build-ku51h8dv/build/temp.linux-x86_64-cpython-38/torchsparse/backend/hashmap/hashmap_cuda.o /tmp/pip-req-build-ku51h8dv/build/temp.linux-x86_64-cpython-38/torchsparse/backend/others/count_cpu.o /tmp/pip-req-build-ku51h8dv/build/temp.linux-x86_64-cpython-38/torchsparse/backend/others/count_cuda.o /tmp/pip-req-build-ku51h8dv/build/temp.linux-x86_64-cpython-38/torchsparse/backend/others/query_cpu.o /tmp/pip-req-build-ku51h8dv/build/temp.linux-x86_64-cpython-38/torchsparse/backend/others/query_cuda.o /tmp/pip-req-build-ku51h8dv/build/temp.linux-x86_64-cpython-38/torchsparse/backend/pybind_cuda.o /tmp/pip-req-build-ku51h8dv/build/temp.linux-x86_64-cpython-38/torchsparse/backend/voxelize/voxelize_cpu.o /tmp/pip-req-build-ku51h8dv/build/temp.linux-x86_64-cpython-38/torchsparse/backend/voxelize/voxelize_cuda.o -L/home/daybeha/anaconda3/envs/sparse_conv/lib/python3.8/site-packages/torch/lib -L/usr/local/cuda-11.6/lib64 -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda_cu -ltorch_cuda_cpp -o build/lib.linux-x86_64-cpython-38/torchsparse/backend.cpython-38-x86_64-linux-gnu.so
      g++: error: /tmp/pip-req-build-ku51h8dv/build/temp.linux-x86_64-cpython-38/torchsparse/backend/convolution/convolution_cpu.o: No such file or directory
      g++: error: /tmp/pip-req-build-ku51h8dv/build/temp.linux-x86_64-cpython-38/torchsparse/backend/convolution/convolution_cuda.o: No such file or directory
      g++: error: /tmp/pip-req-build-ku51h8dv/build/temp.linux-x86_64-cpython-38/torchsparse/backend/devoxelize/devoxelize_cpu.o: No such file or directory
      g++: error: /tmp/pip-req-build-ku51h8dv/build/temp.linux-x86_64-cpython-38/torchsparse/backend/devoxelize/devoxelize_cuda.o: No such file or directory
      g++: error: /tmp/pip-req-build-ku51h8dv/build/temp.linux-x86_64-cpython-38/torchsparse/backend/hash/hash_cpu.o: No such file or directory
      g++: error: /tmp/pip-req-build-ku51h8dv/build/temp.linux-x86_64-cpython-38/torchsparse/backend/hash/hash_cuda.o: No such file or directory
      g++: error: /tmp/pip-req-build-ku51h8dv/build/temp.linux-x86_64-cpython-38/torchsparse/backend/hashmap/hashmap_cpu.o: No such file or directory
      g++: error: /tmp/pip-req-build-ku51h8dv/build/temp.linux-x86_64-cpython-38/torchsparse/backend/hashmap/hashmap_cuda.o: No such file or directory
      g++: error: /tmp/pip-req-build-ku51h8dv/build/temp.linux-x86_64-cpython-38/torchsparse/backend/others/count_cpu.o: No such file or directory
      g++: error: /tmp/pip-req-build-ku51h8dv/build/temp.linux-x86_64-cpython-38/torchsparse/backend/others/count_cuda.o: No such file or directory
      g++: error: /tmp/pip-req-build-ku51h8dv/build/temp.linux-x86_64-cpython-38/torchsparse/backend/others/query_cpu.o: No such file or directory
      g++: error: /tmp/pip-req-build-ku51h8dv/build/temp.linux-x86_64-cpython-38/torchsparse/backend/others/query_cuda.o: No such file or directory
      g++: error: /tmp/pip-req-build-ku51h8dv/build/temp.linux-x86_64-cpython-38/torchsparse/backend/pybind_cuda.o: No such file or directory
      g++: error: /tmp/pip-req-build-ku51h8dv/build/temp.linux-x86_64-cpython-38/torchsparse/backend/voxelize/voxelize_cpu.o: No such file or directory
      g++: error: /tmp/pip-req-build-ku51h8dv/build/temp.linux-x86_64-cpython-38/torchsparse/backend/voxelize/voxelize_cuda.o: No such file or directory
      error: command '/usr/bin/g++' failed with exit code 1
      [end of output]

[du666888999]

@DayBeha
you can try this:

1. git clone https://github.com/mit-han-lab/torchsparse.git && cd torchsparse run:git checkout v1.4.0

2)cd .. && pip install ./torchsparse

3)cd torchsparse/build/temp.linux-x86_64-cpython-38/

4)gedit build.ninja (change -03 to -std=c++17 or -std=c++14)
like this:
"
ninja_required_version = 1.3
cxx = c++
nvcc = /usr/local/cuda/bin/nvcc

cflags = -pthread -B /home/dh/anaconda3/envs/my_openmmlab/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/home/dh/anaconda3/envs/my_openmmlab/lib/python3.8/site-packages/torch/include -I/home/dh/anaconda3/envs/my_openmmlab/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/home/dh/anaconda3/envs/my_openmmlab/lib/python3.8/site-packages/torch/include/TH -I/home/dh/anaconda3/envs/my_openmmlab/lib/python3.8/site-packages/torch/include/THC -I/usr/local/cuda/include -I/home/dh/anaconda3/envs/my_openmmlab/include/python3.8 -c
post_cflags = -g -O3 -fopenmp -lgomp -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="gcc"' '-DPYBIND11_STDLIB="libstdcpp"' '-DPYBIND11_BUILD_ABI="cxxabi1011"' -DTORCH_EXTENSION_NAME=backend -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++17
cuda_cflags = -I/home/dh/anaconda3/envs/my_openmmlab/lib/python3.8/site-packages/torch/include -I/home/dh/anaconda3/envs/my_openmmlab/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/home/dh/anaconda3/envs/my_openmmlab/lib/python3.8/site-packages/torch/include/TH -I/home/dh/anaconda3/envs/my_openmmlab/lib/python3.8/site-packages/torch/include/THC -I/usr/local/cuda/include -I/home/dh/anaconda3/envs/my_openmmlab/include/python3.8 -c
cuda_post_cflags = -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 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=backend -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 -std=c++17
cuda_dlink_post_cflags =
ldflags =

rule compile
command = $cxx -MMD -MF $out.d $cflags -c $in -o $out $post_cflags
depfile = $out.d
deps = gcc

rule cuda_compile
depfile = $out.d
deps = gcc
command = $nvcc $cuda_cflags -c $in -o $out $cuda_post_cflags

build /home/dh/mmdetection3d/opencode/torchsparse/build/temp.linux-x86_64-cpython-38/torchsparse/backend/convolution/convolution_cpu.o: compile /home/dh/mmdetection3d/opencode/torchsparse/torchsparse/backend/convolution/convolution_cpu.cpp
build /home/dh/mmdetection3d/opencode/torchsparse/build/temp.linux-x86_64-cpython-38/torchsparse/backend/convolution/convolution_cuda.o: cuda_compile /home/dh/mmdetection3d/opencode/torchsparse/torchsparse/backend/convolution/convolution_cuda.cu
build /home/dh/mmdetection3d/opencode/torchsparse/build/temp.linux-x86_64-cpython-38/torchsparse/backend/devoxelize/devoxelize_cpu.o: compile /home/dh/mmdetection3d/opencode/torchsparse/torchsparse/backend/devoxelize/devoxelize_cpu.cpp
build /home/dh/mmdetection3d/opencode/torchsparse/build/temp.linux-x86_64-cpython-38/torchsparse/backend/devoxelize/devoxelize_cuda.o: cuda_compile /home/dh/mmdetection3d/opencode/torchsparse/torchsparse/backend/devoxelize/devoxelize_cuda.cu
build /home/dh/mmdetection3d/opencode/torchsparse/build/temp.linux-x86_64-cpython-38/torchsparse/backend/hash/hash_cpu.o: compile /home/dh/mmdetection3d/opencode/torchsparse/torchsparse/backend/hash/hash_cpu.cpp
build /home/dh/mmdetection3d/opencode/torchsparse/build/temp.linux-x86_64-cpython-38/torchsparse/backend/hash/hash_cuda.o: cuda_compile /home/dh/mmdetection3d/opencode/torchsparse/torchsparse/backend/hash/hash_cuda.cu
build /home/dh/mmdetection3d/opencode/torchsparse/build/temp.linux-x86_64-cpython-38/torchsparse/backend/hashmap/hashmap_cpu.o: compile /home/dh/mmdetection3d/opencode/torchsparse/torchsparse/backend/hashmap/hashmap_cpu.cpp
build /home/dh/mmdetection3d/opencode/torchsparse/build/temp.linux-x86_64-cpython-38/torchsparse/backend/hashmap/hashmap_cuda.o: cuda_compile /home/dh/mmdetection3d/opencode/torchsparse/torchsparse/backend/hashmap/hashmap_cuda.cu
build /home/dh/mmdetection3d/opencode/torchsparse/build/temp.linux-x86_64-cpython-38/torchsparse/backend/others/count_cpu.o: compile /home/dh/mmdetection3d/opencode/torchsparse/torchsparse/backend/others/count_cpu.cpp
build /home/dh/mmdetection3d/opencode/torchsparse/build/temp.linux-x86_64-cpython-38/torchsparse/backend/others/count_cuda.o: cuda_compile /home/dh/mmdetection3d/opencode/torchsparse/torchsparse/backend/others/count_cuda.cu
build /home/dh/mmdetection3d/opencode/torchsparse/build/temp.linux-x86_64-cpython-38/torchsparse/backend/others/query_cpu.o: compile /home/dh/mmdetection3d/opencode/torchsparse/torchsparse/backend/others/query_cpu.cpp
build /home/dh/mmdetection3d/opencode/torchsparse/build/temp.linux-x86_64-cpython-38/torchsparse/backend/others/query_cuda.o: cuda_compile /home/dh/mmdetection3d/opencode/torchsparse/torchsparse/backend/others/query_cuda.cu
build /home/dh/mmdetection3d/opencode/torchsparse/build/temp.linux-x86_64-cpython-38/torchsparse/backend/pybind_cuda.o: compile /home/dh/mmdetection3d/opencode/torchsparse/torchsparse/backend/pybind_cuda.cpp
build /home/dh/mmdetection3d/opencode/torchsparse/build/temp.linux-x86_64-cpython-38/torchsparse/backend/voxelize/voxelize_cpu.o: compile /home/dh/mmdetection3d/opencode/torchsparse/torchsparse/backend/voxelize/voxelize_cpu.cpp
build /home/dh/mmdetection3d/opencode/torchsparse/build/temp.linux-x86_64-cpython-38/torchsparse/backend/voxelize/voxelize_cuda.o: cuda_compile /home/dh/mmdetection3d/opencode/torchsparse/torchsparse/backend/voxelize/voxelize_cuda.cu

"

5)ninja -j8

6)cd .. && cd .. && cd ..

7)pip install ./torchsparse
"
Processing ./torchsparse
Preparing metadata (setup.py) ... done
Building wheels for collected packages: torchsparse
Building wheel for torchsparse (setup.py) ... done
Created wheel for torchsparse: filename=torchsparse-1.4.0-cp38-cp38-linux_x86_64.whl size=14330217 sha256=c921b618f030f9caaaeb460405c883fb53ee8d0f7f6e78d79ad320279b5405a1
Stored in directory: /tmp/pip-ephem-wheel-cache-t_vkeku1/wheels/1c/c6/85/b204cc246ca8470c90a61d5aaa2989c4323c1f98327b74e406
Successfully built torchsparse
Installing collected packages: torchsparse
Successfully installed torchsparse-1.4.0
"

应该是ninja 出问题了，只能大力出奇迹

[du666888999]

需要nvcc 和 PyTorch 装的两个cuda版本一致

[zhijian-liu]

Since TorchSparse has been upgraded to v2.1.0, could you please attempt to install the latest version? I will now close this issue, but please don't hesitate to reopen it if the problem persists.