Version bump 0.5.0 -> 0.5.1 related to #16, also added unit test

Author: D1rk123

changelog.md

@@ -13,6 +13,12 @@ Versioning](https://semver.org/spec/v2.0.0.html) when it reaches version 1.0.
 ### Deprecated
 ### Security
 
+## [0.5.1] - 2022-06-15
+Small bugfix to the to_autograd operator. (Pull request 16)
+
+### Fixed
+- Fixed to_autograd operator to always output 32 bit results, also with a 64 bi input just like the normal operator. Before the fix it only worked with 32 bit inputs.
+
 ## [0.5.0] - 2022-02-01
 This release is mostly about maintaining existing functionality. The tomosipo paper and Astra toolbox 2 were released, there is a new maintainer, and some bugs were fixed. The conda package is now the default installation option.
 
@@ -136,7 +142,8 @@ This is a major release. It introduces two features that define tomosipo in its
 
 
 
-[Unreleased]: https://github.com/ahendriksen/tomosipo/compare/v0.5.0...develop
+[Unreleased]: https://github.com/ahendriksen/tomosipo/compare/v0.5.1...develop
+[0.5.1]: https://github.com/ahendriksen/tomosipo/compare/v0.5.0...v0.5.1
 [0.5.0]: https://github.com/ahendriksen/tomosipo/compare/v0.4.1...v0.5.0
 [0.4.1]: https://github.com/ahendriksen/tomosipo/compare/v0.4.0...v0.4.1
 [0.4.0]: https://github.com/ahendriksen/tomosipo/compare/v0.3.1...v0.4.0

setup.py

@@ -73,6 +73,6 @@
     extras_require={'dev': dev_requirements},
     url='https://github.com/ahendriksen/tomosipo',
     # Also edit the version in tomosipo/__init__.py!
-    version='0.5.0',
+    version='0.5.1',
     zip_safe=False,
 )

tests/test_torch_support.py

@@ -1,6 +1,9 @@
 import pytest
 import tomosipo as ts
 from . import skip_if_no_cuda
+from tomosipo.torch_support import (
+    to_autograd,
+)
 
 try:
     import torch
@@ -67,3 +70,16 @@ def test_fp_bp(device):
 
     assert 1.0 < sino.sum()
     assert 1.0 < bp.sum()
+    
+@skip_if_no_torch
+def test_float64():
+    vg = ts.volume(shape=(1, N, N))
+    pg = ts.parallel(angles=N_angles, shape=(1, M))
+    A = ts.operator(vg, pg)
+    A_ag = to_autograd(A)
+    
+    x = torch.ones((1, 1, N, N), dtype=torch.float64)
+    y = A(x[0, ...])
+    y_ag = A_ag(x)
+
+    assert torch.equal(y, y_ag[0, ...])

tomosipo/__init__.py

@@ -5,7 +5,7 @@
 __author__ = """Allard Hendriksen"""
 __email__ = "[email protected]"
 # Also edit the version in setup.py!
-__version__ = "0.5.0"
+__version__ = "0.5.1"
 
 from .Operator import operator
 from .Data import data