ROCm/Tensile

[DEPRECATED] Moved to ROCm/rocm-libraries repo

Python

262

5,378 commits

updated Oct 14, 2026

See the code

README

Tensile

[!CAUTION] The Tensile repository is retired, please use the ROCm/rocm-libraries repository

Tensile is a tool for creating benchmark-driven backend libraries for GEMMs, GEMM-like problems (such as batched GEMM), and general N-dimensional tensor contractions on a GPU. The Tensile library is mainly used as a backend library for rocBLAS. Tensile acts as the performance backbone for a wide variety of 'compute' applications running on AMD GPUs.

[!NOTE] The published documentation is available at Tensile in an organized, easy-to-read format, with search and a table of contents. The documentation source files reside in the Tensile/docs/src folder of this repository. As with all ROCm projects, the documentation is open source. For more information on contributing to the documentation, see Contribute to ROCm documentation.

amd
assembly
auto-tuning
blas
dnn
gemm
gpu
gpu-acceleration
gpu-computing
hip
machine-learning
matrix-multiplication
neural-networks
opencl
python
radeon
tensor-contraction
tensors

ROCm/Tensile

[DEPRECATED] Moved to ROCm/rocm-libraries repo

Python

262

5,378 commits

updated Oct 14, 2026

See the code

README

Tensile

[!CAUTION] The Tensile repository is retired, please use the ROCm/rocm-libraries repository

Tensile is a tool for creating benchmark-driven backend libraries for GEMMs, GEMM-like problems (such as batched GEMM), and general N-dimensional tensor contractions on a GPU. The Tensile library is mainly used as a backend library for rocBLAS. Tensile acts as the performance backbone for a wide variety of 'compute' applications running on AMD GPUs.

[!NOTE] The published documentation is available at Tensile in an organized, easy-to-read format, with search and a table of contents. The documentation source files reside in the Tensile/docs/src folder of this repository. As with all ROCm projects, the documentation is open source. For more information on contributing to the documentation, see Contribute to ROCm documentation.

amd
assembly
auto-tuning
blas
dnn
gemm
gpu
gpu-acceleration
gpu-computing
hip
machine-learning
matrix-multiplication
neural-networks
opencl
python
radeon
tensor-contraction
tensors

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