How to Implement an Efficient Softmax CUDA Kernel

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  • oneflow

    OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

  • All ops computed in deep learning frameworks are translated into CUDA kernel functions on the GPU, and Softmax operations are no exception. Softmax is a widely used op in most networks, and the efficiency of its CUDA kernel implementation can affect the final training speed of many networks. So how can an efficient Softmax CUDA Kernel be implemented?

    Code:https://github.com/Oneflow-Inc/oneflow

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