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.
Tensor reductions (including partial reductions).
Element-wise tensor operations:
Support for various activation functions.
Arbitrary tensor permutations.
Conversion between different data types.
Documentation
Please refer to https://docs.nvidia.com/cuda/cutensor/index.html for the cuTENSOR documentation.
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