Today we are pleased to announce the release of ArrayFire v3.6. It can be downloaded from these locations: Official installers GitHub repository This latest version of ArrayFire is better than ever! We added several new features that improve the performance and usability of the ArrayFire library. The main features are: Support for batched matrix multiply Added the topk function Added the anisotropic diffusion filter We have also spent a significant amount of effort improving the internals of the library. The build system is significantly improved and organized. Batched Matrix Multiplication The new batch matmul allows you to perform several matrix multiplication operations in one call of matmul. You might want to call this function if you are performing multiple smaller matrix multiplication operations. Here ...
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