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Package Details: python-diffq 0.2.4-1
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Git Clone URL: | https://aur.archlinux.org/python-diffq.git (read-only, click to copy) |
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Package Base: | python-diffq |
Description: | Differentiable quantization using pseudo quantization noise |
Upstream URL: | https://github.com/facebookresearch/diffq |
Licenses: | CC-BY-NC-4.0 |
Submitter: | Auerhuhn |
Maintainer: | Auerhuhn |
Last Packager: | Auerhuhn |
Votes: | 0 |
Popularity: | 0.000000 |
First Submitted: | 2024-07-06 13:43 (UTC) |
Last Updated: | 2024-07-06 13:43 (UTC) |
Dependencies (17)
- glibc (glibc-gitAUR, glibc-linux4AUR, glibc-eacAUR, glibc-eac-binAUR, glibc-eac-rocoAUR)
- python (python37AUR, python311AUR, python310AUR)
- python-numpy (python-numpy-flameAUR, python-numpy-gitAUR, python-numpy1AUR, python-numpy-mkl-tbbAUR, python-numpy-mklAUR, python-numpy-mkl-binAUR)
- python-pytorch (python-pytorch-mkl-gitAUR, python-pytorch-cuda-gitAUR, python-pytorch-mkl-cuda-gitAUR, python-pytorch-cxx11abiAUR, python-pytorch-cxx11abi-optAUR, python-pytorch-cxx11abi-cudaAUR, python-pytorch-cxx11abi-opt-cudaAUR, python-pytorch-cxx11abi-rocmAUR, python-pytorch-cxx11abi-opt-rocmAUR, python-pytorch-rocm-binAUR, python-pytorch-cuda, python-pytorch-opt, python-pytorch-opt-cuda, python-pytorch-opt-rocm, python-pytorch-rocm)
- cython (cython-gitAUR, cython0AUR) (make)
- python-build (make)
- python-installer (python-installer-gitAUR) (make)
- python-pdocAUR (make)
- python-setuptools (make)
- python-wheel (make)
- python-torchvision (python-torchvision-gitAUR, python-torchvision-rocm-binAUR, python-torchvision-rocmAUR, python-torchvision-cuda) (check)
- python-einopsAUR (optional) – to run the included cifar example
- python-hydra-colorlogAUR (optional) – to run the included cifar example
- python-hydra-coreAUR (optional) – to run the included cifar example
- python-submititAUR (optional) – to run the included cifar example
- python-timmAUR (optional) – to run the included cifar example
- python-torchvision (python-torchvision-gitAUR, python-torchvision-rocm-binAUR, python-torchvision-rocmAUR, python-torchvision-cuda) (optional) – to run the included cifar example