Factual package intelligence from PyPI

cuda-triton-multiarch 0.2.2 package intelligence

Triton GPU kernels for transformer operations — softmax, FlashAttention-2, RMSNorm, SwiGLU, quantized matmul

pip install cuda-triton-multiarch

Current version
0.2.2
Python requirement
>=3.10
License
MIT
Distribution type
Includes compiled wheel
Release files
1 (1 wheels, 0 source)
Download size
2.5 MiB
Release history
4 releases with files
Median release cadence
0 days

cuda-triton-multiarch dependencies

PyPI declares 6 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch >=2.0.0
  2. triton >=2.1.0 when sys_platform != "win32"
  3. triton-windows >=3.1.0 when sys_platform == "win32"

Compatibility and release files

cuda-triton-multiarch publishes 1 wheel and 0 source archives for version 0.2.2. Wheel platform tags: win_amd64.

No version-specific Python classifiers are declared.

Security snapshot for cuda-triton-multiarch 0.2.2

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Release activity and sources

PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .