Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)
0.16
Performance library for Deep Learning
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Functions | |
mkldnn_status_t MKLDNN_API | mkldnn_sgemm (const char *transa, const char *transb, const int *M, const int *N, const int *K, const float *alpha, const float *A, const int *lda, const float *B, const int *ldb, const float *beta, float *C, const int *ldc) |
SGEMM performs matrix-matrix multiplication operation C := alpha*op( A )*op( B ) + beta*C, where op( X ) is one of op( X ) = X or op( X ) = X**T, alpha and beta are scalars, and A, B and C are matrices, with op( A ) an m by k matrix, op( B ) a k by n matrix and C an m by n matrix. More... | |
mkldnn_status_t MKLDNN_API mkldnn_sgemm | ( | const char * | transa, |
const char * | transb, | ||
const int * | M, | ||
const int * | N, | ||
const int * | K, | ||
const float * | alpha, | ||
const float * | A, | ||
const int * | lda, | ||
const float * | B, | ||
const int * | ldb, | ||
const float * | beta, | ||
float * | C, | ||
const int * | ldc | ||
) |
SGEMM performs matrix-matrix multiplication operation C := alpha*op( A )*op( B ) + beta*C, where op( X ) is one of op( X ) = X or op( X ) = X**T, alpha and beta are scalars, and A, B and C are matrices, with op( A ) an m by k matrix, op( B ) a k by n matrix and C an m by n matrix.