cutensor-cu12

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 12 & 13 are supported). The package cutensor (without the -cuXX suffix) is deprecated. If you have cutensor installed, please remove it prior to installing cutensor-cuXX.

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cutensor_cu12-2.3.1-py3-none-win_amd64.whl (221.4 MB view details)

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