dfttest2
A VapourSynth re-implementation of DFTTest.
This package serves as a meta-package providing:
- A high-level Python interface for
dfttest2. - Optional backend dependencies via extras to simplify installation.
Backends
GPU Backends
| Backend | Platform | Implementation Type |
|---|---|---|
nvrtc |
Windows, Linux (x86-64, aarch64) | JIT Compilation |
hiprtc |
Windows, Linux (x86-64) | JIT Compilation |
cufft |
Windows, Linux (x86-64, aarch64) | Library |
hipfft |
Windows, Linux (x86-64) | Library |
cpu |
Windows, Linux (x86-64), macOS (x86-64) | VCL |
gcc |
All Platforms | Compiler Vector Extensions |
Which one to use?
| Backend | Requirement |
|---|---|
| NVRTC | sbsize=16 and CUDA-enabled system |
| HIPRTC | sbsize=16 and HIP-enabled system |
| cuFFT | CUDA-enabled system |
| hipFFT | HIP-enabled system |
| CPU | sbsize=16 |
| GCC | sbsize=16 |
Approximate Speed: NVRTC == HIPRTC >> cuFFT > hipFFT > CPU == GCC
Installation
For example, to install the NVRTC and CPU backends:
pip install dfttest2[nvrtc,cpu]
README.md from parent project
vs-dfttest2
DFTTest re-implementation (GPU and CPU)
Usage
from dfttest2 import DFTTest
output = DFTTest(input)
See also VapourSynth-DFTTest
1 maintainer
Metadata
1 maintainer
Release files for dfttest2 11.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dfttest2-11.0.0.tar.gz | 364.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dfttest2-11.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 386.2 kB
Release files / dfttest2-11.0.0.tar.gz
| Download URL | dfttest2-11.0.0.tar.gz |
|---|---|
| Size | 364.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / dfttest2-11.0.0-py3-none-any.whl
| Download URL | dfttest2-11.0.0-py3-none-any.whl |
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| Size | 21.2 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
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PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 14, 2026.
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