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Read More »Learning Triton One Kernel at a Time: Softmax
In the previous article of this series, operation in all fields of computer science: matrix multiplication. It is heavily used in neural networks to compute the activation of linear layers. However, activations on their own are difficult to interpret, since their values and statistics (mean, variance, min-max amplitude) can vary wildly from layer to layer. This is one of the …
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