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#include "GB_cuda_ewise.hpp"
extern "C"
{
typedef GB_JIT_CUDA_KERNEL_ROWSCALE_PROTO ((*GB_jit_dl_function)) ;
}
GrB_Info GB_cuda_rowscale_jit
(
// output:
GrB_Matrix C,
// input:
GrB_Matrix D,
GrB_Matrix B,
GrB_BinaryOp binaryop,
bool flipxy,
// CUDA stream and launch parameters:
cudaStream_t stream,
int32_t gridsz,
int32_t blocksz
)
{
//--------------------------------------------------------------------------
// encodify the problem
//--------------------------------------------------------------------------
GB_jit_encoding encoding ;
char *suffix ;
uint64_t hash = GB_encodify_ewise (&encoding, &suffix,
GB_JIT_CUDA_KERNEL_ROWSCALE, false,
/* C_iso: */ false, /* C_in_iso: */ false, GB_sparsity (C), C->type,
C->p_is_32, C->j_is_32, C->i_is_32,
/* M: */ NULL, /* Mask_comp: */ false, /* Mask_struct: */ false,
binaryop, false, flipxy, D, B) ;
//--------------------------------------------------------------------------
// get the kernel function pointer, loading or compiling it if needed
//--------------------------------------------------------------------------
void *dl_function ;
GrB_Info info = GB_jitifyer_load (&dl_function,
GB_jit_ewise_family, "cuda_rowscale",
hash, &encoding, suffix, NULL, NULL,
(GB_Operator) binaryop, C->type, D->type, B->type) ;
if (info != GrB_SUCCESS) return (info) ;
//--------------------------------------------------------------------------
// call the jit kernel and return result
//--------------------------------------------------------------------------
GB_jit_dl_function GB_jit_kernel = (GB_jit_dl_function) dl_function ;
return (GB_jit_kernel (C, D, B, stream, gridsz, blocksz, &GB_callback)) ;
}
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