Reputation: 2230
I have a large dense vector(not matrix) in GPU memory:
[1,3,0,0,4,0,0]
and want to convert it into sparse format:
values = [1,3,4]; index = [0,1,4]
I know I can call cusparse<t>dense2csc()
in cuSPARSE
, but that's designed for matrix, and may not be efficient for vector. Is there any other way to do this ? Or maybe a CUDA kernel. Thanks
Upvotes: 1
Views: 722
Reputation: 2230
Use thrust::copy_if
int * d_index = [1,3,0,0,4,0,0];
int * d_index_compact;
struct non_negative
{
__host__ __device__
bool operator()(const int x)
{
return x >= 0;
}
};
thrust::copy_if(thrust::cuda::par, d_index, d_index + this->vocab_size , d_index_compact, non_negative()); // d_index_compact = [1,3,4];
Upvotes: 2