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Hi @mreineck!
I was wondering if you had any intention of supporting NUFFTs for batches of data/along an axis as is done in `finufft`? The specific use case is taking the NUFFT along a single axis…
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With the finufft library in finufft_jll (v2.2.0) and copies build using BinaryBuilder from the current master https://github.com/flatironinstitute/finufft, running the tests fails on MacOS Sonoma 14.5…
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pip installing in a fresh environment no longer works, I believe due to the numpy 2.0 upgrade.
After
```bash
python -m venv venv
source venv/bin/activate
pip install fastkde
```
I cannot im…
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Hi all,
thanks for this awesome package! I have noticed that the package seems to fail to correctly detect available backends. In my case, I only installed torchkbnufft backend, but when I run the te…
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Hello,
I tried running the nufft on GPU in "DFT" mode with options "-g -s". This leads to an error "Command exited with error code -11". If I run the adjoint DFT with options "-g -s -a", the code …
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What would it take to transform your numpy and numba implementation to multiple dimensions?
Given cupy and recent advances in numba, it would be interesting to test on GPU or multicore, maybe fortran…
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It would be nice to have a pure python, or at least a non FI nufft implementation, in and regularly tested with the code, regardless of speed.
There was pynufft and another option as well. It has …
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Hi. I encountered an error when running INFR.
Traceback (most recent call last):
File "./pytom/reconstruction/reconstruct_INFR.py", line 54, in
from nufft.reconstruction import fourier_2d1…
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Type 3 NUFFT have the potential of being fast on GPU given the multiple FFTs required. CUFFT proved itself to be extremely fast on GPU.
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Hi,
I noticed that 2D nufft’s of types I-I and II-II are mentioned in the [discourse](https://discourse.julialang.org/t/nonuniform-fast-fourier-transforms/4858/2) in 2017.
As I looked at the code, i…