* The benefits of kernel fusion for bandwidth-bound operations. * Reduction operators in Triton. # When implemented naively in PyTorch, computing :code:`y = naive_softmax(x)` for :math:`x \in R^{M ...
* The basic programming model of Triton. * The `triton.jit` decorator, which is used to define Triton kernels. * The best practices for validating and benchmarking your custom ops against native ...
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