Developer Reference for Intel® oneAPI Math Kernel Library for C

ID 766684
Date 12/16/2022
Public

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cblas_gemm_bf16bf16f32

Computes a matrix-matrix product with general bfloat16 matrices.

Syntax

void cblas_gemm_bf16bf16f32 (const CBLAS_LAYOUT Layout, const CBLAS_TRANSPOSE transa, const CBLAS_TRANSPOSE transb, const MKL_INT m, const MKL_INT n, const MKL_INT k, const float alpha, const MKL_BF16 *a, const MKL_INT lda, const MKL_BF16 *b, const MKL_INT ldb, const float beta, float *c, const MKL_INT ldc);

Include Files
  • mkl.h
Description

The cblas_gemm_bf16bf16f32 routines compute a scalar-matrix-matrix product and adds the result to a scalar-matrix product. The operation is defined as:

C := alpha*op(A) *op(B) + beta*C

where :

  • op(X) is one of op(X) = X or op(X) = XT,
  • alpha and beta are scalars,
  • A, B, and C are matrices
  • op(A) is m-by-k matrix,
  • op(B) is k-by-n matrix,
  • C is an m-by-n matrix.

Input Parameters

Layout

Specifies whether two-dimensional array storage is row-major (CblasRowMajor) or column-major (CblasColMajor).

transa

Specifies the form of op(A) used in the matrix multiplication:

if transa=CblasNoTrans, then op(A) = A;

if transa=CblasTrans, then op(A) = AT.

transb

Specifies the form of op(B) used in the matrix multiplication:

if transb=CblasNoTrans, then op(B) = B;

if transb=CblasTrans, then op(B) = BT.

m

Specifies the number of rows of the matrix op(A) and of the matrix C. The value of m must be at least zero.

n

Specifies the number of columns of the matrix op(B) and the number of columns of the matrix C. The value of n must be at least zero.

k

Specifies the number of columns of the matrix op(A) and the number of rows of the matrix op(B). The value of k must be at least zero.

alpha

Specifies the scalar alpha.

a

 

transa=CblasNoTrans

transa=CblasTrans

Layout = CblasColMajor

Array, size lda*k

Before entry, the leading m-by-k part of the array a must contain the matrix A.

Array, size lda*m

Before entry, the leading k-by-m part of the array a must contain the matrix A.

Layout = CblasRowMajor

Array, size lda* m

Before entry, the leading k-by-m part of the array a must contain the matrix.

Array, size lda*k

Before entry, the leading m-by-k part of the array a must contain the matrix.

lda

Specifies the leading dimension of a as declared in the calling (sub)program.

 

transa=CblasNoTrans

transa=CblasTrans

Layout = CblasColMajor

lda must be at least max(1, m).

lda must be at least max(1, k).

Layout = CblasRowMajor

lda must be at least max(1, k).

lda must be at least max(1, m).

b

 

transb=CblasNoTrans

transb=CblasTrans

Layout = CblasColMajor

Array, size ldb by n

Before entry, the leading k-by-n part of the array b must contain the matrix B.

Array, size ldb by k

Before entry the leading n-by-k part of the array b must contain the matrix B.

Layout = CblasRowMajor

Array, size ldb by k

Before entry the leading n-by-k part of the array b must contain the matrix B.

Array, size ldb by n

Before entry, the leading k-by-n part of the array b must contain the matrix B.

ldb

Specifies the leading dimension of b as declared in the calling (sub)program.

 

transb=CblasNoTrans

transb=CblasTrans

Layout = CblasColMajor

ldb must be at least max(1, k).

ldb must be at least max(1, n).

Layout = CblasRowMajor

ldb must be at least max(1, n).

ldb must be at least max(1, k).

beta

Specifies the scalar beta. When beta is equal to zero, then c need not be set on input.

c

Layout = CblasColMajor

Array, size ldc by n. Before entry, the leading m-by-n part of the array c must contain the matrix C, except when beta is equal to zero, in which case c need not be set on entry.

 

Layout = CblasRowMajor

Array, size ldc by m. Before entry, the leading n-by-m part of the array c must contain the matrix C, except when beta is equal to zero, in which case c need not be set on entry.

 

ldc

Specifies the leading dimension of c as declared in the calling (sub)program.

Layout = CblasColMajor

ldc must be at least max(1, m).

 

Layout = CblasRowMajor

ldc must be at least max(1, n).

 
Output Parameters

c

Overwritten by alpha* op(A) * op(B) + beta*C.

Example

For examples of routine usage, see these code examples in the Intel® oneAPI Math Kernel Library installation directory:

  • cblas_gemm_bf16bf16f32: examples\cblas\source\cblas_gemm_bf16bf16f32x.c

Application Notes

On architectures without native bfloat16 hardware instructions, matrix A and B are upconverted to single precision and SGEMM is called to compute matrix multiplication operation.