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Subject [GitHub] [singa] chrishkchris commented on issue #552: SINGA-496 Implement softplus and softsign functions for tensor math
Date Thu, 14 Nov 2019 14:00:14 GMT
chrishkchris commented on issue #552: SINGA-496 Implement softplus and softsign functions for
tensor math
URL: https://github.com/apache/singa/pull/552#issuecomment-553900186
 
 
   For example, it is something like this (the following is for reference which is not tested):
   
   1. In math_kernal.h, it may be like this:
   
   void softsign(const size_t n, const float *in, float *out, cudaStream_t s);
   
   2. In math_kernal.cu, it may be like this:
   
   __global__ void KernelSoftsign(const size_t n, const float *in, float *out) {
     for (int i = blockIdx.x * blockDim.x + threadIdx.x; i < n;
          i += blockDim.x * gridDim.x) {
       out[i] = in[i] / (std::abs(in[i]) + 1);
     }
   }
   
   void softsign(const size_t n, const float *in, float *out, cudaStream_t s) {
     KernelSoftsign <<<ceil(n / CU1DBLOCKF), CU1DBLOCKF, 0, s>>> (n, in,
out);
   }
   

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