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cutensor-cu12

NVIDIA cuTENSOR

  • 2.0.2
  • PyPI
  • Socket score

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4

############################################################### 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.

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