aboutsummaryrefslogblamecommitdiff
path: root/matrix/cuda_helper.h
blob: 88619fdae73f932b169c0929c1fae8d7f893b847 (plain) (tree)
1
2
3
4
5
6
7
8
9
10

                          



                         
                                     


                                           

                                                                         
                                  





                                   

                                                                           










                                                          
                                                                        



























                                                             















                                                           
      
#ifndef NERV_CUDA_HELPER_H
#define NERV_CUDA_HELPER_H
#include "cuda.h"
#include "cuda_runtime.h"
#include "driver_types.h"
#include "cublas_v2.h"
#define CUBLAS_SAFE_SYNC_CALL(call) \
    do { \
        cublasStatus_t  err = (call); \
        if (err != CUBLAS_STATUS_SUCCESS) \
            nerv_error(L, "cumatrix cublas error: %s at %s:%d", \
                        cublasGetErrorString(err), __FILE__, __LINE__); \
        cudaDeviceSynchronize(); \
    } while (0)

#define CUDA_SAFE_CALL(call) \
    do { \
        cudaError_t err = (call); \
        if (err != cudaSuccess) \
            nerv_error(L, "cumatrix CUDA error: %s at %s:%d", \
                            cudaGetErrorString(err), __FILE__, __LINE__); \
    } while (0)

#define CUDA_SAFE_SYNC_CALL(call) \
    do { \
        CUDA_SAFE_CALL(call); \
        cudaDeviceSynchronize(); \
    } while (0)

#define CHECK_SAME_DIMENSION(a, b) \
    do { \
        if (!(a->nrow == b->nrow && a->ncol == b->ncol)) \
            nerv_error(L, "matrices should be of the same dimension"); \
    } while (0)

static const char *cublasGetErrorString(cublasStatus_t err) {
    switch (err)
    {
        case CUBLAS_STATUS_SUCCESS:
            return "CUBLAS_STATUS_SUCCESS";
        case CUBLAS_STATUS_NOT_INITIALIZED:
            return "CUBLAS_STATUS_NOT_INITIALIZED";
        case CUBLAS_STATUS_ALLOC_FAILED:
            return "CUBLAS_STATUS_ALLOC_FAILED";
        case CUBLAS_STATUS_INVALID_VALUE:
            return "CUBLAS_STATUS_INVALID_VALUE";
        case CUBLAS_STATUS_ARCH_MISMATCH:
            return "CUBLAS_STATUS_ARCH_MISMATCH";
        case CUBLAS_STATUS_MAPPING_ERROR:
            return "CUBLAS_STATUS_MAPPING_ERROR";
        case CUBLAS_STATUS_EXECUTION_FAILED:
            return "CUBLAS_STATUS_EXECUTION_FAILED";
        case CUBLAS_STATUS_INTERNAL_ERROR:
            return "CUBLAS_STATUS_INTERNAL_ERROR";
        case CUBLAS_STATUS_NOT_SUPPORTED:
            return "CUBLAS_STATUS_NOT_SUPPORTED";
        case CUBLAS_STATUS_LICENSE_ERROR:
            return "CUBLAS_STATUS_LICENSE_ERROR";
    }
    return "<unknown>";
}

#define PROFILE_START \
    do { \
        cudaEvent_t start, stop; \
        cudaEventCreate(&start); \
        cudaEventCreate(&stop); \
        cudaEventRecord(start, 0);
#define PROFILE_STOP \
        cudaEventRecord(stop, 0); \
        cudaEventSynchronize(stop); \
        float milliseconds = 0; \
        cudaEventElapsedTime(&milliseconds, start, stop); \
        accu_profile(__func__, milliseconds / 1000); \
    } while (0);

#define PROFILE_END 
#endif