GPU build

.travis.yml

@@ -59,7 +59,7 @@ install:
   - conda install pytorch=${TORCH_VERSION} ${TOOLKIT} -c pytorch --yes
   - source script/torch.sh
   - pip install flake8 codecov
-  - python setup.py install
+  - pip install .[test]
 script:
   - flake8 .
   - python setup.py test

CMakeLists.txt

 cmake_minimum_required(VERSION 3.0)
 project(torchcluster)
 set(CMAKE_CXX_STANDARD 14)
-set(TORCHCLUSTER_VERSION 1.5.4)
+set(TORCHCLUSTER_VERSION 1.5.5)
 
 option(WITH_CUDA "Enable CUDA support" OFF)
 

csrc/cuda/knn_cuda.cu

@@ -101,12 +101,12 @@ torch::Tensor knn_cuda(torch::Tensor x, torch::Tensor y,
   CHECK_INPUT(ptr_x.value().numel() == ptr_y.value().numel());
 
   auto dist = torch::full(y.size(0) * k, 1e38, y.options());
-  auto row = torch::empty(y.size(0) * k, ptr_y.options());
-  auto col = torch::full(y.size(0) * k, -1, ptr_y.options());
+  auto row = torch::empty(y.size(0) * k, ptr_y.value().options());
+  auto col = torch::full(y.size(0) * k, -1, ptr_y.value().options());
 
   auto stream = at::cuda::getCurrentCUDAStream();
   AT_DISPATCH_FLOATING_TYPES(x.scalar_type(), "knn_kernel", [&] {
-    knn_kernel<scalar_t><<<ptr_x.size(0) - 1, THREADS, 0, stream>>>(
+    knn_kernel<scalar_t><<<ptr_x.value().size(0) - 1, THREADS, 0, stream>>>(
         x.data_ptr<scalar_t>(), y.data_ptr<scalar_t>(),
         ptr_x.value().data_ptr<int64_t>(), ptr_y.value().data_ptr<int64_t>(),
         dist.data_ptr<scalar_t>(), row.data_ptr<int64_t>(),

csrc/cuda/radius_cuda.cu

@@ -75,7 +75,7 @@ torch::Tensor radius_cuda(torch::Tensor x, torch::Tensor y,
 
   auto stream = at::cuda::getCurrentCUDAStream();
   AT_DISPATCH_FLOATING_TYPES(x.scalar_type(), "radius_kernel", [&] {
-    radius_kernel<scalar_t><<<ptr_x.size(0) - 1, THREADS, 0, stream>>>(
+    radius_kernel<scalar_t><<<ptr_x.value().size(0) - 1, THREADS, 0, stream>>>(
         x.data_ptr<scalar_t>(), y.data_ptr<scalar_t>(),
         ptr_x.value().data_ptr<int64_t>(), ptr_y.value().data_ptr<int64_t>(),
         row.data_ptr<int64_t>(), col.data_ptr<int64_t>(), r, max_num_neighbors,

csrc/cuda/radius_cuda.h

@@ -3,6 +3,6 @@
 #include <torch/extension.h>
 
 torch::Tensor radius_cuda(torch::Tensor x, torch::Tensor y,
-                          torch::optiona<torch::Tensor> ptr_x,
+                          torch::optional<torch::Tensor> ptr_x,
                           torch::optional<torch::Tensor> ptr_y, double r,
                           int64_t max_num_neighbors);

setup.py

@@ -63,7 +63,7 @@ tests_require = ['pytest', 'pytest-cov', 'scipy']
 
 setup(
     name='torch_cluster',
-    version='1.5.4',
+    version='1.5.5',
     author='Matthias Fey',
     author_email='matthias.fey@tu-dortmund.de',
     url='https://github.com/rusty1s/pytorch_cluster',
@@ -80,6 +80,7 @@ setup(
     install_requires=install_requires,
     setup_requires=setup_requires,
     tests_require=tests_require,
+    extras_require={'test': tests_require},
     ext_modules=get_extensions() if not BUILD_DOCS else [],
     cmdclass={
         'build_ext':

torch_cluster/__init__.py

@@ -3,7 +3,7 @@ import os.path as osp
 
 import torch
 
-__version__ = '1.5.4'
+__version__ = '1.5.5'
 
 for library in [
         '_version', '_grid', '_graclus', '_fps', '_rw', '_sampler', '_nearest',