[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

.github/workflows/cuda/cu116-Linux-env.sh

@@ -5,4 +5,4 @@ LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}
 PATH=${CUDA_HOME}/bin:${PATH}
 
 export FORCE_CUDA=1
-export TORCH_CUDA_ARCH_LIST="3.5;5.0+PTX;6.0;7.0;7.5;8.0;8.6"
+export TORCH_CUDA_ARCH_LIST="3.5;5.0+PTX;6.0;7.0;7.5;8.0;8.6"

.github/workflows/cuda/cu116-Linux.sh

@@ -12,4 +12,4 @@ sudo apt-get -qq update
 sudo apt install cuda-nvcc-11-6 cuda-libraries-dev-11-6
 sudo apt clean
 
-rm -f https://developer.download.nvidia.com/compute/cuda/11.5.2/local_installers/cuda-repo-${OS}-11-6-local_11.6.2-510.47.03-1_amd64.deb
+rm -f https://developer.download.nvidia.com/compute/cuda/11.5.2/local_installers/cuda-repo-${OS}-11-6-local_11.6.2-510.47.03-1_amd64.deb

.github/workflows/cuda/cu116-Windows-env.sh

@@ -5,4 +5,4 @@ PATH=${CUDA_HOME}/bin:$PATH
 PATH=/c/Program\ Files\ \(x86\)/Microsoft\ Visual\ Studio/2017/BuildTools/MSBuild/15.0/Bin:$PATH
 
 export FORCE_CUDA=1
-export TORCH_CUDA_ARCH_LIST="6.0+PTX"
+export TORCH_CUDA_ARCH_LIST="6.0+PTX"

.github/workflows/cuda/cu116-Windows.sh

@@ -17,4 +17,4 @@ echo ""
 echo "Installing from ${CUDA_FILE}..."
 PowerShell -Command "Start-Process -FilePath \"${CUDA_FILE}\" -ArgumentList \"-s nvcc_${CUDA_SHORT} cuobjdump_${CUDA_SHORT} nvprune_${CUDA_SHORT} cupti_${CUDA_SHORT} cublas_dev_${CUDA_SHORT} cudart_${CUDA_SHORT} cufft_dev_${CUDA_SHORT} curand_dev_${CUDA_SHORT} cusolver_dev_${CUDA_SHORT} cusparse_dev_${CUDA_SHORT} thrust_${CUDA_SHORT} npp_dev_${CUDA_SHORT} nvrtc_dev_${CUDA_SHORT} nvml_dev_${CUDA_SHORT}\" -Wait -NoNewWindow"
 echo "Done!"
-rm -f "${CUDA_FILE}"
+rm -f "${CUDA_FILE}"

conda/torch-points-kernels/README.md

@@ -2,4 +2,4 @@
 ./build_conda.sh 3.9 1.9.0 cu111  # python, pytorch and cuda version
 ```
 
-These conda scripts are based off of [pytorch_sparse](https://github.com/rusty1s/pytorch_sparse/tree/master/conda/pytorch-sparse), track changes there to update.
+These conda scripts are based off of [pytorch_sparse](https://github.com/rusty1s/pytorch_sparse/tree/master/conda/pytorch-sparse), track changes there to update.

conda/torch-points-kernels/bld.bat

@@ -4,4 +4,4 @@ copy "C:\\Program Files (x86)\\Microsoft Visual Studio\\2019\\Enterprise\\VC\\To
 if errorlevel 1 exit 1
 
 "%PYTHON%" -m pip install .
-if errorlevel 1 exit 1
+if errorlevel 1 exit 1

conda/torch-points-kernels/run_test.bat

@@ -1,2 +1,2 @@
 "%PYTHON%" -m unittest
-if errorlevel 1 exit 1
+if errorlevel 1 exit 1

conda/torch-points-kernels/run_test.sh

@@ -1 +1 @@
-$PYTHON -m unittest
+$PYTHON -m unittest

setup.py

@@ -33,9 +33,7 @@ def get_ext_modules():
         extra_compile_args["cxx"] += ["-DVERSION_GE_1_3"]
 
     ext_src_root = "cuda"
-    ext_sources = glob.glob("{}/src/*.cpp".format(ext_src_root)) + glob.glob(
-        "{}/src/*.cu".format(ext_src_root)
-    )
+    ext_sources = glob.glob("{}/src/*.cpp".format(ext_src_root)) + glob.glob("{}/src/*.cu".format(ext_src_root))
 
     ext_modules = []
     if WITH_CUDA:

test/test_grouping.py

@@ -6,7 +6,6 @@
 
 
 class TestGroup(unittest.TestCase):
-
     # input: points(b, c, n) idx(b, npoints, nsample)
     # output: out(b, c, npoints, nsample)
     def test_simple(self):