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2020-10-15Add conda packages for cudatoolkit-11.0Willem Jan Palenstijn
2020-09-17Merge pull request #256 from fsherry/fix_cuda2d_par_fp_memleakWillem Jan Palenstijn
Fix memory leak in CUDA 2D par_fp
2020-09-11Fix memory leak in CUDA 2D par_fpFerdia
Arrays were dynamically allocated in the function convertAndUploadAngles, but were not deallocated, resulting in a memory leak. At the end of this function I now delete [] these arrays, fixing the memory leak.
2020-07-04Bump conda package versionWillem Jan Palenstijn
2020-07-04Fix missing importWillem Jan Palenstijn
Thanks to @jleuschn for catching this.
2020-07-02Merge branch 'direct_fpbp'Willem Jan Palenstijn
2020-07-02Add error checkWillem Jan Palenstijn
2020-07-02Add mode parameter to direct_FPBP3DAllard Hendriksen
This change allows additive forward and backprojections.
2020-07-02Check numpy array typeWillem Jan Palenstijn
2020-07-02Add python astra.experimental.direct_FP3D/BP3DWillem Jan Palenstijn
2020-07-02Refactor cython data3d object creation to prepareWillem Jan Palenstijn
2020-02-07Use numpy backward binary compatibility for conda packagesWillem Jan Palenstijn
We now only build a single package built with numpy 1.11.x for numpy>=1.11,<2 . There is no guarantee that every future numpy version covered by this will be compatible with numpy 1.11, but numpy checks this internally at run-time, and should report this (noisily) when this occurs.
2020-02-05Fix potential geometry constant corruption in par3d_bpWillem Jan Palenstijn
2020-02-05Fix memory leaks in 3D BPWillem Jan Palenstijn
2020-01-14Update python/numpy/cuda versions for condaWillem Jan Palenstijn
2019-09-27Increment version to 1.9.9devWillem Jan Palenstijn
2019-09-27Merge branch 'consistent_scaling'Willem Jan Palenstijn
2019-09-25Skip boost/cuda check if cuda is not foundWillem Jan Palenstijn
2019-09-25Add noteWillem Jan Palenstijn
2019-09-25Fix crash in FBP_CUDA when called without projectorWillem Jan Palenstijn
2019-09-25Remove unmaintained, out of date 'STANDALONE' cuda codeWillem Jan Palenstijn
2019-09-25Add unit tests for 3D adjointsWillem Jan Palenstijn
2019-09-25Adjust par3d adjoint scaling, and clean upWillem Jan Palenstijn
2019-09-25Enable all 2D projector testsWillem Jan Palenstijn
2019-09-25Add 3D reconstruction scaling testWillem Jan Palenstijn
2019-09-25Fix part of non-cube cone scalingWillem Jan Palenstijn
2019-09-25Small clean up of factorsWillem Jan Palenstijn
2019-09-25Remove C++ projector testsWillem Jan Palenstijn
These have been superseded by python versions.
2019-09-25Add missing headerWillem Jan Palenstijn
2019-09-25Add feature flags for changed scaling behaviourWillem Jan Palenstijn
2019-09-25Remove obsolete DensityWeighting optionWillem Jan Palenstijn
2019-09-25Improve adjoint matching for fan/cone BP functions, and clean upWillem Jan Palenstijn
2019-09-25Add test for reconstruction scalingWillem Jan Palenstijn
2019-09-25Fix fan-beam FBP scalingWillem Jan Palenstijn
2019-09-25Add error check for non-parallel FBPWillem Jan Palenstijn
2019-09-25Work around some warningsWillem Jan Palenstijn
2019-09-25Adjust SART to line integral scalingWillem Jan Palenstijn
2019-09-25Clean up outputscale naming confusion in cuda::algoWillem Jan Palenstijn
2019-09-25Adjust FBP to line integral scalingWillem Jan Palenstijn
2019-09-25Adjust adjoint to line integral scalingWillem Jan Palenstijn
2019-09-25Dynamically create python test functionsWillem Jan Palenstijn
2019-09-25Check if boost and CUDA versions are compatibleWillem Jan Palenstijn
See https://github.com/astra-toolbox/astra-toolbox/issues/163 and https://github.com/boostorg/config/pull/175 .
2019-09-25Adjust strip kernels to line integral scalingWillem Jan Palenstijn
2019-09-25Adjust distance driven kernels to line integral scalingWillem Jan Palenstijn
2019-09-25Adjust linear/cuda kernels to line integral scalingWillem Jan Palenstijn
2019-09-25Adjust line kernels to line integral scalingWillem Jan Palenstijn
2019-09-25Merge pull request #214 from ahendriksen/CI-use-conda-c-compiler-toolchainWillem Jan Palenstijn
Use conda compiler toolchain for conda builds
2019-09-20Use conda compiler toolchain for conda buildsAllard Hendriksen
For both libastra and astra-toolbox: 1) We do not use script_env to set CC/CXX anymore, since the compilers are installed by conda. 2) The build string is made useful by including either the python+numpy version or the cudatoolkit version that the package was built with. 3) Some clean-up of build.sh in buildenv/ For libastra: 1) The libastra.so is built with the conda C/C++ compiler toolchain. This has two benefits: 1) The rpath of libastra.so is set to $ORIGIN, which makes linking easier for dependent packages. 2) libastra.so is linkable against ancient versions of glibc. With old versions of memcpy. 2) The C/C++ compiler version is fixed to 5.4.0 3) In libastra/build.sh, we rename $CONDA_PREFIX to $PREFIX. Apparently, this is how it is supposed to be done. For me, $CONDA_PREFIX was suddenly undefined. Why this was not a problem before, is unclear to me. 4) The cudatoolkit runtime dependency is pinned with pin_compatible 5) The libastra conda package now provides headers and .pc file. This is useful for building C++ packages that depend on astra. 6) Remove some old code related to cudatoolkit<8.0. For astra-toolbox: 1) astra-toolbox uses the conda-provided compilers 2) The compilers are fixed to version 7.3 3) Add boost to host requirements of astra-toolbox Notes on testing: - The libastra build has been tested with all versions of cudatoolkit - The astra-toolbox build has been tested with all provided versions of python after building a single cudatoolkit version of libastra. How to test this branch: - It should work by just editing `python/conda/linux_release/buildenv/build.sh`. Set BRANCH=CI-use-conda-c-compiler-toolchain URL=https://github.com/ahendriksen/astra-toolbox and run release.sh from the `python/conda/linux_release` directory.
2019-09-18Fix Travis CUDA setupWillem Jan Palenstijn
2019-09-17Fix clang buildWillem Jan Palenstijn
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