Skip to main content

NVIDIA cuTENSOR

Project description

cuTENSOR is a high-performance CUDA library for tensor primitives.

Key Features

  • Extensive mixed-precision support:

    • FP64 inputs with FP32 compute.

    • FP32 inputs with FP16, BF16, or TF32 compute.

    • Complex-times-real operations.

    • Conjugate (without transpose) support.

  • Support for up to 64-dimensional tensors.

  • Arbitrary data layouts.

  • Trivially serializable data structures.

  • Main computational routines:

    • Direct (i.e., transpose-free) tensor contractions.

      • Support just-in-time compilation of dedicated kernels.

    • Tensor reductions (including partial reductions).

    • Element-wise tensor operations:

      • Support for various activation functions.

      • Support for padding of the output tensor

      • Arbitrary tensor permutations.

      • Conversion between different data types.

Documentation

Please refer to https://docs.nvidia.com/cuda/cutensor/index.html for the cuTENSOR documentation.

Installation

The cuTENSOR wheel can be installed as follows:

pip install cutensor-cuXX

where XX is the CUDA major version (currently CUDA 11 & 12 are supported). The package cutensor (without the -cuXX suffix) is deprecated. If you have cutensor installed, please remove it prior to installing cutensor-cuXX.

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

cutensor_cu11-2.0.1-py3-none-win_amd64.whl (137.9 MB view details)

Uploaded Python 3 Windows x86-64

File details

Details for the file cutensor_cu11-2.0.1-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for cutensor_cu11-2.0.1-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 be1d277febf2d507d06349fd5455c56a11d9177906050969b41802795c991ba8
MD5 d64ea710ff5b5e0ebc622a18735ffc2b
BLAKE2b-256 4249ebeeb12e73eab21aff1249922a32e4153aae5bcccfab718ef463591a3b53

See more details on using hashes here.

Provenance

File details

Details for the file cutensor_cu11-2.0.1-py3-none-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for cutensor_cu11-2.0.1-py3-none-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a1777d1dba54fbab69df515717cb658f61338d550aec7cf868eb99bd091bee57
MD5 e92503e1a7a70026218d59ba2c925a52
BLAKE2b-256 ac360374fd785658de9e96258575554eeabf5606607ca18bf9439a9250db981f

See more details on using hashes here.

Provenance

File details

Details for the file cutensor_cu11-2.0.1-py3-none-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for cutensor_cu11-2.0.1-py3-none-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c39ca2a10b541c7c1dfedd03103d145f4fdacaebfa1ed77e62307c2757390e0f
MD5 bc524bd69850cf15f8ca10dd38d76b96
BLAKE2b-256 4308629a92a86b5a9c2d9587ca0de5f82f9bf5eceb3780df427ef86efd253858

See more details on using hashes here.

Provenance

Supported by

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