[Installation] <title>

[zx1384187]

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

When I try to run"pip install ./torchsparse" ,it returns error " torchsparse/backend/others/query_cpu.cpp:6:10: fatal error: google/dense_hash_map: No such file or directory".Before this I have made install sparsehash like https://github.com/PJLab-ADG/OpenPCSeg/blob/master/docs/INSTALL.md 4.3
Could someone give me assiant?

Error Line

torchsparse/backend/others/query_cpu.cpp:6:10: fatal error: google/dense_hash_map: No such file or directory
6 | #include <google/dense_hash_map>
| ^~~~~~~~~~~~~~~~~~~~~~~
compilation terminated.
error: command 'gcc' failed with exit status 1

Environment

- GCC:9.3.0
- NVCC:11.3
- PyTorch:1.10.0
- PyTorch CUDA:11.3

Full Error Log

Error Log

Looking in indexes: http://mirrors.aliyun.com/pypi/simple Processing ./torchsparse DEPRECATION: A future pip version will change local packages to be built in-place without first copying to a temporary directory. We recommend you use --use-feature=in-tree-build to test your packages with this new behavior before it becomes the default. pip 21.3 will remove support for this functionality. You can find discussion regarding this at https://github.com/pypa/pip/issues/7555. Building wheels for collected packages: torchsparse Building wheel for torchsparse (setup.py) ... error ERROR: Command errored out with exit status 1: command: /root/miniconda3/bin/python -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-req-build-hotmfuez/setup.py'"'"'; __file__='"'"'/tmp/pip-req-build-hotmfuez/setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(__file__) if os.path.exists(__file__) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' bdist_wheel -d /tmp/pip-wheel-gev9gav0 cwd: /tmp/pip-req-build-hotmfuez/ Complete output (72 lines): running bdist_wheel running build running build_py creating build creating build/lib.linux-x86_64-3.8 creating build/lib.linux-x86_64-3.8/torchsparse copying torchsparse/version.py -> build/lib.linux-x86_64-3.8/torchsparse copying torchsparse/__init__.py -> build/lib.linux-x86_64-3.8/torchsparse copying torchsparse/operators.py -> build/lib.linux-x86_64-3.8/torchsparse copying torchsparse/tensor.py -> build/lib.linux-x86_64-3.8/torchsparse creating build/lib.linux-x86_64-3.8/torchsparse/utils copying torchsparse/utils/utils.py -> build/lib.linux-x86_64-3.8/torchsparse/utils copying torchsparse/utils/quantize.py -> build/lib.linux-x86_64-3.8/torchsparse/utils copying torchsparse/utils/__init__.py -> build/lib.linux-x86_64-3.8/torchsparse/utils copying torchsparse/utils/collate.py -> build/lib.linux-x86_64-3.8/torchsparse/utils creating build/lib.linux-x86_64-3.8/torchsparse/backbones copying torchsparse/backbones/__init__.py -> build/lib.linux-x86_64-3.8/torchsparse/backbones copying torchsparse/backbones/unet.py -> build/lib.linux-x86_64-3.8/torchsparse/backbones copying torchsparse/backbones/resnet.py -> build/lib.linux-x86_64-3.8/torchsparse/backbones creating build/lib.linux-x86_64-3.8/torchsparse/nn copying torchsparse/nn/__init__.py -> build/lib.linux-x86_64-3.8/torchsparse/nn creating build/lib.linux-x86_64-3.8/torchsparse/backbones/modules copying torchsparse/backbones/modules/blocks.py -> build/lib.linux-x86_64-3.8/torchsparse/backbones/modules copying torchsparse/backbones/modules/__init__.py -> build/lib.linux-x86_64-3.8/torchsparse/backbones/modules creating build/lib.linux-x86_64-3.8/torchsparse/nn/functional copying torchsparse/nn/functional/devoxelize.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/functional copying torchsparse/nn/functional/voxelize.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/functional copying torchsparse/nn/functional/query.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/functional copying torchsparse/nn/functional/pooling.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/functional copying torchsparse/nn/functional/activation.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/functional copying torchsparse/nn/functional/__init__.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/functional copying torchsparse/nn/functional/count.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/functional copying torchsparse/nn/functional/hash.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/functional copying torchsparse/nn/functional/conv.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/functional copying torchsparse/nn/functional/crop.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/functional copying torchsparse/nn/functional/downsample.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/functional creating build/lib.linux-x86_64-3.8/torchsparse/nn/modules copying torchsparse/nn/modules/norm.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/modules copying torchsparse/nn/modules/bev.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/modules copying torchsparse/nn/modules/activation.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/modules copying torchsparse/nn/modules/__init__.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/modules copying torchsparse/nn/modules/conv.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/modules copying torchsparse/nn/modules/crop.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/modules copying torchsparse/nn/modules/pooling.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/modules creating build/lib.linux-x86_64-3.8/torchsparse/nn/utils copying torchsparse/nn/utils/kernel.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/utils copying torchsparse/nn/utils/apply.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/utils copying torchsparse/nn/utils/__init__.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/utils running build_ext building 'torchsparse.backend' extension creating build/temp.linux-x86_64-3.8 creating build/temp.linux-x86_64-3.8/torchsparse creating build/temp.linux-x86_64-3.8/torchsparse/backend creating build/temp.linux-x86_64-3.8/torchsparse/backend/others creating build/temp.linux-x86_64-3.8/torchsparse/backend/hash creating build/temp.linux-x86_64-3.8/torchsparse/backend/hashmap creating build/temp.linux-x86_64-3.8/torchsparse/backend/devoxelize creating build/temp.linux-x86_64-3.8/torchsparse/backend/voxelize creating build/temp.linux-x86_64-3.8/torchsparse/backend/convolution gcc -pthread -B /root/miniconda3/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/root/miniconda3/lib/python3.8/site-packages/torch/include -I/root/miniconda3/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/root/miniconda3/lib/python3.8/site-packages/torch/include/TH -I/root/miniconda3/lib/python3.8/site-packages/torch/include/THC -I/usr/local/cuda/include -I/root/miniconda3/include/python3.8 -c torchsparse/backend/pybind_cuda.cpp -o build/temp.linux-x86_64-3.8/torchsparse/backend/pybind_cuda.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++ /usr/local/cuda/bin/nvcc -I/root/miniconda3/lib/python3.8/site-packages/torch/include -I/root/miniconda3/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/root/miniconda3/lib/python3.8/site-packages/torch/include/TH -I/root/miniconda3/lib/python3.8/site-packages/torch/include/THC -I/usr/local/cuda/include -I/root/miniconda3/include/python3.8 -c torchsparse/backend/others/query_cuda.cu -o build/temp.linux-x86_64-3.8/torchsparse/backend/others/query_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 gcc -pthread -B /root/miniconda3/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/root/miniconda3/lib/python3.8/site-packages/torch/include -I/root/miniconda3/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/root/miniconda3/lib/python3.8/site-packages/torch/include/TH -I/root/miniconda3/lib/python3.8/site-packages/torch/include/THC -I/usr/local/cuda/include -I/root/miniconda3/include/python3.8 -c torchsparse/backend/others/count_cpu.cpp -o build/temp.linux-x86_64-3.8/torchsparse/backend/others/count_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++ /usr/local/cuda/bin/nvcc -I/root/miniconda3/lib/python3.8/site-packages/torch/include -I/root/miniconda3/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/root/miniconda3/lib/python3.8/site-packages/torch/include/TH -I/root/miniconda3/lib/python3.8/site-packages/torch/include/THC -I/usr/local/cuda/include -I/root/miniconda3/include/python3.8 -c torchsparse/backend/others/count_cuda.cu -o build/temp.linux-x86_64-3.8/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 gcc -pthread -B /root/miniconda3/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/root/miniconda3/lib/python3.8/site-packages/torch/include -I/root/miniconda3/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/root/miniconda3/lib/python3.8/site-packages/torch/include/TH -I/root/miniconda3/lib/python3.8/site-packages/torch/include/THC -I/usr/local/cuda/include -I/root/miniconda3/include/python3.8 -c torchsparse/backend/others/query_cpu.cpp -o build/temp.linux-x86_64-3.8/torchsparse/backend/others/query_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++ torchsparse/backend/others/query_cpu.cpp:6:10: fatal error: google/dense_hash_map: No such file or directory 6 | #include | ^~~~~~~~~~~~~~~~~~~~~~~ compilation terminated. error: command 'gcc' failed with exit status 1 ---------------------------------------- ERROR: Failed building wheel for torchsparse Running setup.py clean for torchsparse Failed to build torchsparse Installing collected packages: torchsparse Running setup.py install for torchsparse ... error ERROR: Command errored out with exit status 1: command: /root/miniconda3/bin/python -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-req-build-hotmfuez/setup.py'"'"'; __file__='"'"'/tmp/pip-req-build-hotmfuez/setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(__file__) if os.path.exists(__file__) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' install --record /tmp/pip-record-pkv0itmw/install-record.txt --single-version-externally-managed --compile --install-headers /root/miniconda3/include/python3.8/torchsparse cwd: /tmp/pip-req-build-hotmfuez/ Complete output (72 lines): running install running build running build_py creating build creating build/lib.linux-x86_64-3.8 creating build/lib.linux-x86_64-3.8/torchsparse copying torchsparse/version.py -> build/lib.linux-x86_64-3.8/torchsparse copying torchsparse/__init__.py -> build/lib.linux-x86_64-3.8/torchsparse copying torchsparse/operators.py -> build/lib.linux-x86_64-3.8/torchsparse copying torchsparse/tensor.py -> build/lib.linux-x86_64-3.8/torchsparse creating build/lib.linux-x86_64-3.8/torchsparse/utils copying torchsparse/utils/utils.py -> build/lib.linux-x86_64-3.8/torchsparse/utils copying torchsparse/utils/quantize.py -> build/lib.linux-x86_64-3.8/torchsparse/utils copying torchsparse/utils/__init__.py -> build/lib.linux-x86_64-3.8/torchsparse/utils copying torchsparse/utils/collate.py -> build/lib.linux-x86_64-3.8/torchsparse/utils creating build/lib.linux-x86_64-3.8/torchsparse/backbones copying torchsparse/backbones/__init__.py -> build/lib.linux-x86_64-3.8/torchsparse/backbones copying torchsparse/backbones/unet.py -> build/lib.linux-x86_64-3.8/torchsparse/backbones copying torchsparse/backbones/resnet.py -> build/lib.linux-x86_64-3.8/torchsparse/backbones creating build/lib.linux-x86_64-3.8/torchsparse/nn copying torchsparse/nn/__init__.py -> build/lib.linux-x86_64-3.8/torchsparse/nn creating build/lib.linux-x86_64-3.8/torchsparse/backbones/modules copying torchsparse/backbones/modules/blocks.py -> build/lib.linux-x86_64-3.8/torchsparse/backbones/modules copying torchsparse/backbones/modules/__init__.py -> build/lib.linux-x86_64-3.8/torchsparse/backbones/modules creating build/lib.linux-x86_64-3.8/torchsparse/nn/functional copying torchsparse/nn/functional/devoxelize.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/functional copying torchsparse/nn/functional/voxelize.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/functional copying torchsparse/nn/functional/query.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/functional copying torchsparse/nn/functional/pooling.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/functional copying torchsparse/nn/functional/activation.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/functional copying torchsparse/nn/functional/__init__.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/functional copying torchsparse/nn/functional/count.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/functional copying torchsparse/nn/functional/hash.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/functional copying torchsparse/nn/functional/conv.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/functional copying torchsparse/nn/functional/crop.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/functional copying torchsparse/nn/functional/downsample.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/functional creating build/lib.linux-x86_64-3.8/torchsparse/nn/modules copying torchsparse/nn/modules/norm.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/modules copying torchsparse/nn/modules/bev.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/modules copying torchsparse/nn/modules/activation.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/modules copying torchsparse/nn/modules/__init__.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/modules copying torchsparse/nn/modules/conv.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/modules copying torchsparse/nn/modules/crop.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/modules copying torchsparse/nn/modules/pooling.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/modules creating build/lib.linux-x86_64-3.8/torchsparse/nn/utils copying torchsparse/nn/utils/kernel.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/utils copying torchsparse/nn/utils/apply.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/utils copying torchsparse/nn/utils/__init__.py -> build/lib.linux-x86_64-3.8/torchsparse/nn/utils running build_ext building 'torchsparse.backend' extension creating build/temp.linux-x86_64-3.8 creating build/temp.linux-x86_64-3.8/torchsparse creating build/temp.linux-x86_64-3.8/torchsparse/backend creating build/temp.linux-x86_64-3.8/torchsparse/backend/others creating build/temp.linux-x86_64-3.8/torchsparse/backend/hash creating build/temp.linux-x86_64-3.8/torchsparse/backend/hashmap creating build/temp.linux-x86_64-3.8/torchsparse/backend/devoxelize creating build/temp.linux-x86_64-3.8/torchsparse/backend/voxelize creating build/temp.linux-x86_64-3.8/torchsparse/backend/convolution gcc -pthread -B /root/miniconda3/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/root/miniconda3/lib/python3.8/site-packages/torch/include -I/root/miniconda3/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/root/miniconda3/lib/python3.8/site-packages/torch/include/TH -I/root/miniconda3/lib/python3.8/site-packages/torch/include/THC -I/usr/local/cuda/include -I/root/miniconda3/include/python3.8 -c torchsparse/backend/pybind_cuda.cpp -o build/temp.linux-x86_64-3.8/torchsparse/backend/pybind_cuda.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++ /usr/local/cuda/bin/nvcc -I/root/miniconda3/lib/python3.8/site-packages/torch/include -I/root/miniconda3/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/root/miniconda3/lib/python3.8/site-packages/torch/include/TH -I/root/miniconda3/lib/python3.8/site-packages/torch/include/THC -I/usr/local/cuda/include -I/root/miniconda3/include/python3.8 -c torchsparse/backend/others/query_cuda.cu -o build/temp.linux-x86_64-3.8/torchsparse/backend/others/query_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 gcc -pthread -B /root/miniconda3/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/root/miniconda3/lib/python3.8/site-packages/torch/include -I/root/miniconda3/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/root/miniconda3/lib/python3.8/site-packages/torch/include/TH -I/root/miniconda3/lib/python3.8/site-packages/torch/include/THC -I/usr/local/cuda/include -I/root/miniconda3/include/python3.8 -c torchsparse/backend/others/count_cpu.cpp -o build/temp.linux-x86_64-3.8/torchsparse/backend/others/count_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++ /usr/local/cuda/bin/nvcc -I/root/miniconda3/lib/python3.8/site-packages/torch/include -I/root/miniconda3/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/root/miniconda3/lib/python3.8/site-packages/torch/include/TH -I/root/miniconda3/lib/python3.8/site-packages/torch/include/THC -I/usr/local/cuda/include -I/root/miniconda3/include/python3.8 -c torchsparse/backend/others/count_cuda.cu -o build/temp.linux-x86_64-3.8/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 gcc -pthread -B /root/miniconda3/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/root/miniconda3/lib/python3.8/site-packages/torch/include -I/root/miniconda3/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/root/miniconda3/lib/python3.8/site-packages/torch/include/TH -I/root/miniconda3/lib/python3.8/site-packages/torch/include/THC -I/usr/local/cuda/include -I/root/miniconda3/include/python3.8 -c torchsparse/backend/others/query_cpu.cpp -o build/temp.linux-x86_64-3.8/torchsparse/backend/others/query_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++ torchsparse/backend/others/query_cpu.cpp:6:10: fatal error: google/dense_hash_map: No such file or directory 6 | #include | ^~~~~~~~~~~~~~~~~~~~~~~ compilation terminated. error: command 'gcc' failed with exit status 1 ---------------------------------------- ERROR: Command errored out with exit status 1: /root/miniconda3/bin/python -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-req-build-hotmfuez/setup.py'"'"'; __file__='"'"'/tmp/pip-req-build-hotmfuez/setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(__file__) if os.path.exists(__file__) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' install --record /tmp/pip-record-pkv0itmw/install-record.txt --single-version-externally-managed --compile --install-headers /root/miniconda3/include/python3.8/torchsparse Check the logs for full command output. [PUT YOUR ERROR LOG HERE]

[pphuangyi]

Could you try python setup.py install inside torchsparse folder? I also wrote a tentative solution in #340. Please give it a try and let me know your experience if you like. (But I think your current gcc/nvcc/pytorch combination should work)