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* Reorganize docker environmentsWillem Jan Palenstijn2021-10-269-26/+106
| | | | Now using debian8, debian9, debian11 for cuda 8 - 11.4
* Update miniconda version used in docker build environmentsWillem Jan Palenstijn2021-10-263-6/+6
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* Add brief conda build instructions for win64Willem Jan Palenstijn2021-10-113-0/+27
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* Update conda packages to python 3.9, cuda 11.1Willem Jan Palenstijn2021-07-017-20/+41
| | | | Since cudatoolkit=11.1 isn't in the main anaconda channel (yet?), the nvidia conda channel is used.
* Restrict conda host env libstdc++-ng to prevent build errors on docker envWillem Jan Palenstijn2021-07-011-0/+2
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* Minor de-duplicationWillem Jan Palenstijn2021-02-251-2/+4
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* Fix Windows conda package buildWillem Jan Palenstijn2021-02-251-1/+1
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* Split conda/cuda build environment in twoWillem Jan Palenstijn2020-11-136-57/+93
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* Add conda packages for cudatoolkit-11.0Willem Jan Palenstijn2020-10-153-4/+13
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* Bump conda package versionWillem Jan Palenstijn2020-07-041-1/+1
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* Fix missing importWillem Jan Palenstijn2020-07-041-0/+2
| | | | Thanks to @jleuschn for catching this.
* Add error checkWillem Jan Palenstijn2020-07-021-0/+4
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* Add mode parameter to direct_FPBP3DAllard Hendriksen2020-07-021-6/+5
| | | | This change allows additive forward and backprojections.
* Check numpy array typeWillem Jan Palenstijn2020-07-025-16/+25
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* Add python astra.experimental.direct_FP3D/BP3DWillem Jan Palenstijn2020-07-021-0/+54
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* Refactor cython data3d object creation to prepareWillem Jan Palenstijn2020-07-024-37/+82
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* Use numpy backward binary compatibility for conda packagesWillem Jan Palenstijn2020-02-078-46/+8
| | | | | | | | 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.
* Update python/numpy/cuda versions for condaWillem Jan Palenstijn2020-01-148-10/+19
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* Increment version to 1.9.9devWillem Jan Palenstijn2019-09-274-6/+6
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* Use conda compiler toolchain for conda buildsAllard Hendriksen2019-09-209-29/+52
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 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.
* Use recent version of conda during linux conda-buildAllard Hendriksen2019-09-171-1/+8
| | | | | | This fixes the issue where cudatoolkit=8.0 would not install any more with recent versions of conda. Also, no corruption appears to take place while downloading packages.
* Build updates for Debian 8 + CUDA10.1Willem Jan Palenstijn2019-07-084-40/+17
| | | | | | | Debian 7 is EOL, and CUDA 10.1 doesn't support its version of glibc. Hardcoded conda=4.6.14 for now, since 4.7.5 seems to be downloading corrupted packages when running in docker/linux-64.
* Build updates for Win10 + VS2017 + CUDA9 + Matlab R2018bWillem Jan Palenstijn2019-07-086-33/+29
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* Replace absolute path by relative path in builder.pyWillem Jan Palenstijn2019-07-081-3/+3
| | | | | | A recent setuptools is using the full path as part of the name of the temporary build directory, which made the full temp path too long when called from conda-build in Windows.
* Fix composite EMode enum order in experimental.pyxWillem Jan Palenstijn2019-06-181-2/+2
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* Update conda builds for cuda 10 and numpy 1.16Willem Jan Palenstijn2019-04-128-10/+43
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* Fix exception propagation in python dictToConfigWillem Jan Palenstijn2018-12-232-7/+10
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* Remove unused array allocation in data3d.get_sharedWillem Jan Palenstijn2018-12-121-1/+0
| | | | Thanks to @ahendriksen.
* Fix python set_gpu_index default memory argumentWillem Jan Palenstijn2018-11-071-1/+1
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* Loosen numpy dependency for conda packageWillem Jan Palenstijn2018-11-011-1/+1
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* Add support for checking features at run-timeWillem Jan Palenstijn2018-09-253-2/+22
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* Raise exception when setting GPU memory unrealistically smallWillem Jan Palenstijn2018-09-251-0/+2
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* Avoid broken scipy package for testsWillem Jan Palenstijn2018-08-311-0/+2
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* Drop numpy 1.12/1.13 packagesWillem Jan Palenstijn2018-08-311-2/+0
| | | | Anaconda doesn't have these for python 3.7 apparently
* Build for new cuda/python/numpy versionsWillem Jan Palenstijn2018-08-314-5/+23
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* Split up PythonPluginAlgorithm filesWillem Jan Palenstijn2018-08-286-191/+287
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* Make filename more consistentWillem Jan Palenstijn2018-08-282-2/+2
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* Allow access to python plugin object via algorithm interfaceWillem Jan Palenstijn2018-07-035-1/+40
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* Update authorsWillem Jan Palenstijn2018-06-221-2/+2
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* Move CUDA include filesWillem Jan Palenstijn2018-06-221-1/+1
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* Build for numpy 1.14Willem Jan Palenstijn2018-06-011-0/+1
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* iMinds -> imecWillem Jan Palenstijn2018-01-2447-47/+47
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* Update copyright dateWillem Jan Palenstijn2018-01-2447-93/+93
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* Update contact emailWillem Jan Palenstijn2018-01-1247-47/+47
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* Improve postalignment functionWillem Jan Palenstijn2018-01-092-20/+14
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* Fix comments for postalignment functionWillem Jan Palenstijn2018-01-091-2/+9
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* Add geom_size, geom_2vec to main astra moduleWillem Jan Palenstijn2018-01-091-1/+1
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* Add astra.test/astra_test functionWillem Jan Palenstijn2018-01-092-2/+12
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* Check for CUDA support at run-time in use_cuda()Willem Jan Palenstijn2018-01-091-1/+2
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* Merge branch 'master' into parallel_vecWillem Jan Palenstijn2017-11-225-16/+45
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