Try to build bdist

setup.py

 import sys
+from glob import glob
+from os import makedirs
+from os.path import basename, dirname, join
+from shutil import copyfile, copytree, rmtree
 
 from pkg_resources import VersionConflict, require
 from setuptools import setup
+from torch.utils.cpp_extension import BuildExtension, CUDAExtension
 
 try:
     require('setuptools>=38.3')
@@ -11,4 +16,34 @@ except VersionConflict:
 
 
 if __name__ == "__main__":
-    setup(use_pyscaffold=True)
+
+    object_cache = dirname(__file__)
+    module_name = 'pyronn_torch_cpp'
+
+    source_files = glob(join(dirname(__file__), 'src', 'pyronn_torch', 'PYRO-NN-Layers', '*.cu.cc'))
+
+    generated_file = join('src', 'pyronn_torch', 'pyronn_torch.cpp')
+
+    cuda_sources = []
+    makedirs(join(object_cache, module_name), exist_ok=True)
+    rmtree(join(object_cache, module_name, 'helper_headers'), ignore_errors=True)
+    copytree(join(dirname(__file__), 'src', 'pyronn_torch',  'PYRO-NN-Layers', 'helper_headers'),
+             join(object_cache, module_name, 'helper_headers'))
+
+    for s in source_files:
+        dst = join(object_cache, module_name, basename(s).replace('.cu.cc', '.cu'))
+        copyfile(s, dst)  # Torch only accepts *.cu as CUDA
+        cuda_sources.append(join(module_name, basename(s).replace('.cu.cc', '.cu')))
+
+    setup(use_pyscaffold=True,
+          ext_modules=[
+              CUDAExtension(module_name,
+                            [generated_file] + cuda_sources,
+                            extra_compile_args={'cxx': ['--std=c++14'],
+                                                'nvcc': ['-arch=sm_35']})
+
+
+          ],
+          cmdclass={
+              'build_ext': BuildExtension
+          })