cutensor-cu11

############################################################### cuTENSOR: A High-Performance CUDA Library For Tensor Primitives ###############################################################

cuTENSOR <https://developer.nvidia.com/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:

.. code-block:: bash

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.