Skip to main content

cuequivariance-ops-jax - GPU Accelerated JAX Extensions for Equivariant Primitives

Project description

cuequivariance-ops-jax

Introduction

cuequivariance_ops_jax provides CUDA kernels for the cuEquivariance project's JAX components. As such, it contains JAX bindings to optimized kernels that cuEquivariance's operations map down to. In general, we advice that you access those kernels through cuEquivariance, but you may also find them useful on their own.

Installation

Please install using pip install cuequivariance-ops-jax-cu12 or pip install cuequivariance-ops-jax-cu13 (depending on the CUDA toolkit you wish to use).

Documentation

For detailed usage information of the kernels, please refer to the doc-strings in their respective modules. For higher-level documentations, refer to cuEquivariance.

Usage

You can import the library from python:

import cuequivariance_ops_jax

Support and Feedback

Please contact the cuEquivariance developers for any issues you might encounter.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

cuequivariance_ops_jax_cu13-0.9.0-py3-none-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (181.2 kB view details)

Uploaded Python 3manylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

cuequivariance_ops_jax_cu13-0.9.0-py3-none-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (158.7 kB view details)

Uploaded Python 3manylinux: glibc 2.24+ ARM64manylinux: glibc 2.28+ ARM64

File details

Details for the file cuequivariance_ops_jax_cu13-0.9.0-py3-none-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for cuequivariance_ops_jax_cu13-0.9.0-py3-none-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 f2eea0cf5008735cb3630ae10930f417e6bc1da2140143dd5278c5b0d90d6040
MD5 130c218df447f4157c58ef2a56837356
BLAKE2b-256 0e863df8550f55cb5b85c6b03410550b2e0baba51eba91657e892e39e46f6290

See more details on using hashes here.

File details

Details for the file cuequivariance_ops_jax_cu13-0.9.0-py3-none-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for cuequivariance_ops_jax_cu13-0.9.0-py3-none-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 1e0b06f885982a2c990a7d139e87ad58e970d5e960b143b7a7d66a4a0bca7101
MD5 befe2044f19aefb146119ba60a41859b
BLAKE2b-256 7c92e643e7850c85dcffc9ab82d680b8c7a129e6aae8169cfc5417fcb2c00917

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page