运行环境

[desailuoke]

我新装了一个ubantu16.04的服务器，但是在执行 python setup.py install时就会出错。能否告知一下测试的环境，包括gcc版本，cuda版本，python版本等。

In file included from /usr/local/python3.9/lib/python3.9/site-packages/torch/include/ATen/Parallel.h:149:0,
from /usr/local/python3.9/lib/python3.9/site-packages/torch/include/TH/THTensorApply.h:4,
from /usr/local/python3.9/lib/python3.9/site-packages/torch/include/TH/THTensor.h:5,
from /usr/local/python3.9/lib/python3.9/site-packages/torch/include/THC/THCTensor.h:4,
from /usr/local/python3.9/lib/python3.9/site-packages/torch/include/THC/THC.h:13,
from src/ball_query.cpp:3:
/usr/local/python3.9/lib/python3.9/site-packages/torch/include/ATen/ParallelOpenMP.h:84:0: warning: ignoring #pragma omp parallel [-Wunknown-pragmas]
#pragma omp parallel for if ((end - begin) >= grain_size)
^
src/ball_query.cpp: In function ‘int ball_query_wrapper_fast(int, int, int, float, int, at::Tensor, at::Tensor, at::Tensor)’:
src/ball_query.cpp:10:39: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
#define CHECK_CUDA(x) AT_CHECK(x.type().is_cuda(), #x, " must be a CUDAtensor ")
^
src/ball_query.cpp:12:24: note: in expansion of macro ‘CHECK_CUDA’
#define CHECK_INPUT(x) CHECK_CUDA(x);CHECK_CONTIGUOUS(x)
^
src/ball_query.cpp:16:5: note: in expansion of macro ‘CHECK_INPUT’
CHECK_INPUT(new_xyz_tensor);
^

[liu0527aa]

采用python==3.6.2，cuda=10.0可复现成功，可供参考。