Revision 14452db6dff408ebfb342a6e813d8f44d7d9373e authored by Jyh-Miin Lin on 05 October 2022, 01:54:28 UTC, committed by Jyh-Miin Lin on 05 October 2022, 01:54:28 UTC
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versionhistory.rst
Version history
===============
**v2022.2.3-rc2**
- Add experimental NUFFT_cupy for cupy backend.
- Change scipy.linalg.pinv2 (deprecate) to pinv. Track for possible errors.
**v2022.2.3-rc1**
- Add experimental NUFFT_torch, NUFFT_tf
**v2022.2.2**
- Maintenance release
**v2022.2.1**
- Maintenance release
**v2022.1.1**
- some typos fixed.
- move to Python 3.10
- update installation for MSVC 2022 and Win 10
**v2021.2.0**
- typo fixed: ocl_add() imaglptr -> imagptr
**v2021.1.0**
- removed twosum algorithm.
**v2020.2.1**
- tested with an AMD card.
- Deprecate batch as this is not the most essential function in NUFFT.
- Deprecate NUFFT_cpu, NUFFT_hsa
- Update some docs.
**v2020.1.2**
- new_index: change the khatri_rao_k(), OMEGA_k() in helper.py; col += kindx[index];// + 1
- Add code of conduct of Contributor Covenant v2.0
- Update some documentations
**v2020.1.0**
- add batch mode to nudft_cpu
**v2020.0.0**
- fix batch=1. This can cause error in Riekna fft.
**v2019.2.3**
-(experimental) Add the unified NUFFT() class. Now CPU, GPU, and legacy GPU mode are encapsuled in a single class.
-Tested using Intel Neo OpenCL driver (see https://github.com/intel/compute-runtime) and IntelPython3.
-The old NUFFT_cpu() and NUFFT_legacy() will be kept in the system for compatibility.
**v2019.2.1-2019.2.2**
-Remove lsmr as scipy 1.13 has caused unknown error.
**v2019.2.0**
- Bump
**v2019.1.2**
- BUGFIX: fix the loss of accuracy in cSpmvh(). Replace the group/local by global memory (the group/local sizes have caused the unknown run-time behaviour on cuda)
**v2019.1.1**
- Refactor the re_subroutine.py
- Adopt tensor form
**v0.4.0.0**
- 0.4.0.0 is a beta version.
- Major updates for the NUFFT_hsa class, including memory reduction and split-radix. Multiple NUFFT_hsa() using cuda backend becomes possible, by pushing the context to the top of the stack when a method is called.
- Tested in Windows 10 with PyCUDA 2018.1.1, nvidia-driver 417.35, CUDA 9.2, Visual Studio 2015 Community, and Anaconda Python 3.7 64-bit. PyOpenCL in Windows is yet to be tested.
- Add batch mode.
**v0.3.3.12**
- 0.3.3.12 is a bug-fixed version.
- Removal of the keyword async for compatibility reasons because Reikna has changed the keyword to async_.
**v0.3.3.8**
- Bugfix: mm = numpy.tile(mm, [numpy.prod(Jd).astype(int), 1]) to fix the wrong type when numpy.prod(Jd) is not cast as int
- Bugfix: fix rcond=None error in Anaconda 3.6.5 and Numpy 1.13.1 (the recommended None in Numpy 1.14 is backward incompatible with 1.13)
- Bugfix: indx1 = indx.copy() is replaced by indx1 = list(indx) for Python2 compatibility
**v0.3.3.7**
- Bugfix in 0.3.3.7 Toeplitz is removed from the NUFFT_cpu and NUFFT_gpu to avoid the MemoryError.
**v0.3.3.6**
- Bugfix: correct the error of import. Now import NUFFT_cpu, NUFFT_hsa at the top level.
**v0.3.3**
- Note: GPU support is superseded by Heterogeneous System Architecture (HSA).
- A variety of nonlinear solvers are provided, including the conjugate gradient method (cg), L1 total-variation ordinary least square (L1TVOLS), and L1 total-variation least absolute deviation (L1TVLAD).
- The CPU version support other nonlinear solvers, lsqr, gmr, cg, bicgstab, bicg, cgs, gmres, lgmres , apart from cg, L1TVOLS and L1TVLAD.
- Support multi-dimensional transform and reconstruction (experimentally).
**v0.3.2.9**
- Experimental support of NVIDIA's graphic processing unit (GPU).
- The experimental class gpuNUFFT requires pycuda, scikit-cuda, and python-cuda-cffi. scikit-cuda can be installed from standard command.
**v0.3.2.8**
- Tested under Linux and Windows Anaconda3
**v0.3**
- Updated setup.py
- Removal of pyfftw due to segfault under some Linux distributions
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