Make test runnable without pyconrad

setup.cfg

@@ -4,10 +4,10 @@
 
 [metadata]
 name = pyronn-torch
-description = Add a short description here!
-author = Stephan Seitz
-author-email = stephan.seitz@fau.de
-license = mit
+description = PyTorch bindings for PYRO-NN (https://github.com/csyben/PYRO-NN)
+author = Stephan Seitz, Christopher Symben
+author-email = stephan.seitz@fau.de, christopher.syben@fau.de
+license = GPLv3
 long-description = file: README.rst
 long-description-content-type = text/x-rst; charset=UTF-8
 url = https://github.com/pyscaffold/pyscaffold/

setup.py

@@ -41,8 +41,6 @@ if __name__ == "__main__":
                             [generated_file] + cuda_sources,
                             extra_compile_args={'cxx': ['--std=c++14'],
                                                 'nvcc': ['-arch=sm_35']})
-
-
           ],
           cmdclass={
               'build_ext': BuildExtension

tests/test_projection.py

@@ -6,6 +6,9 @@
 """
 
 """
+import os
+
+import numpy as np
 import pytest
 
 import pyronn_torch
@@ -18,6 +21,41 @@ def test_init():
 @pytest.mark.parametrize('with_texture', ('with_texture', False))
 @pytest.mark.parametrize('with_backward', ('with_backward', False))
 def test_projection(with_texture, with_backward):
+    projector = pyronn_torch.ConeBeamProjector(
+        (128, 128, 128),
+        (2.0, 2.0, 2.0),
+        (-127.5, -127.5, -127.5),
+        (2, 480, 620),
+        [1.0, 1.0],
+        (0, 0),
+        np.array([[[-3.10e+2, -1.20e+03,  0.00e+00,  1.86e+5],
+                   [-2.40e+2,  0.00e+00,  1.20e+03,  1.44e+5],
+                   [-1.00e+00,  0.00e+00,  0.00e+00,  6.00e+2]],
+                  [[-2.89009888e+2, -1.20522754e+3, -1.02473585e-13,
+                    1.86000000e+5],
+                   [-2.39963440e+2, -4.18857765e+0,  1.20000000e+3,
+                    1.44000000e+5],
+                   [-9.99847710e-01, -1.74524058e-2,  0.00000000e+0,
+                    6.00000000e+2]]])
+    )
+
+    volume = projector.new_volume_tensor(requires_grad=True if with_backward else False)
+
+    volume += 1.
+    result = projector.project_forward(volume, use_texture=with_texture)
+
+    assert result is not None
+    if with_backward:
+        assert volume.requires_grad
+        assert result.requires_grad
+
+        loss = result.mean()
+        loss.backward()
+
+
+@pytest.mark.skipif('CI' in os.environ, reason="No conrad config on CI")
+@pytest.mark.parametrize('with_backward', ('with_backward', False))
+def test_conrad_config(with_backward, with_texture=True):
     projector = pyronn_torch.ConeBeamProjector.from_conrad_config()
 
     volume = projector.new_volume_tensor(requires_grad=True if with_backward else False)