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* Load libcuda.so.1 if libcuda.so is not there. Error if both aren't there. * Support for multiple grad_to_none in triton.testing.do_bench * Benchmark dataframe printed along with name
Triton
This is the development repository of Triton, a language and compiler for writing highly efficient custom Deep-Learning primitives. The aim of Triton is to provide an open-source environment to write fast code at higher productivity than CUDA, but also with higher flexibility than other existing DSLs.
The foundations of this project are described in the following MAPL2019 publication: Triton: An Intermediate Language and Compiler for Tiled Neural Network Computations. Please consider citing us if you use our work!
The official documentation contains installation instructions and tutorials.
Compatibility
Supported Platforms:
- Linux
Supported Hardware:
- NVIDIA GPUs (Compute Capability 7.0+)
- Under development: AMD GPUs, CPUs