nvTIFF: CUDA accelerated TIFF Library
nvidia_nvtiff_cuXX is a high-performance TIFF CUDA library .
Documentation
Refer to https://docs.nvidia.com/cuda/nvtiff/index.html for documentation.
Installation
pip install nvidia_nvtiff_cuXXwhere XX is the CUDA major version (currently CUDA 12 & 13 are supported).
Metadata
Release files for nvidia-nvtiff-tegra-cu12 0.9.0.86
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| nvidia_nvtiff_tegra_cu12-0.9.0.86-py3-none-manylinux2014_aarch64.whl | Python 3 | none | Linux glibc 2.17+ ARM64 | Details for nvidia_nvtiff_tegra_cu12-0.9.0.86-py3-none-manylinux2014_aarch64.whl |
Release files / nvidia_nvtiff_tegra_cu12-0.9.0.86-py3-none-manylinux2014_aarch64.whl
| Download URL | nvidia_nvtiff_tegra_cu12-0.9.0.86-py3-none-manylinux2014_aarch64.whl |
|---|---|
| Size | 2.5 MB |
| Tags | Linux glibc 2.17+ ARM64 Python 3 |
|
SHA-256 checksum How to use checksums |
542bfaac64529c35167dcce6fd58f940d85f48ef9b164974d23034c5c62357c7
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.8
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Security for nvidia-nvtiff-tegra-cu12 0.9.0.86
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