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sgemm

Perform the matrix-matrix operation C = alpha*op(A)*op(B) + beta*C.

Usage

import sgemm from 'https://cdn.jsdelivr.net/gh/stdlib-js/blas-base-ndarray-sgemm@deno/mod.js';

sgemm( arrays )

Performs the matrix-matrix operation C = alpha*op(A)*op(B) + beta*C, where op(X) is either op(X) = X or op(X) = X^T, alpha and beta are scalars, 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.

import Float32Matrix from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-matrix-float32@deno/mod.js';
import scalar2ndarray from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-from-scalar@deno/mod.js';
import resolveEnum from 'https://cdn.jsdelivr.net/gh/stdlib-js/blas-base-transpose-operation-resolve-enum@deno/mod.js';

var A = new Float32Matrix( [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] );
var B = new Float32Matrix( [ [ 1.0, 1.0 ], [ 0.0, 1.0 ] ] );
var C = new Float32Matrix( [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] );

var transA = scalar2ndarray( resolveEnum( 'no-transpose' ), {
    'dtype': 'int32'
});
var transB = scalar2ndarray( resolveEnum( 'no-transpose' ), {
    'dtype': 'int32'
});
var alpha = scalar2ndarray( 1.0, {
    'dtype': 'float32'
});
var beta = scalar2ndarray( 1.0, {
    'dtype': 'float32'
});

var out = sgemm( [ A, B, C, transA, transB, alpha, beta ] );
// returns <ndarray>[ [ 2.0, 5.0 ], [ 6.0, 11.0 ] ]

var bool = ( out === C );
// returns true

The function has the following parameters:

• arrays: array-like object containing the following ndarrays:

  • a two-dimensional input ndarray corresponding to A.
  • a two-dimensional input ndarray corresponding to B.
  • a two-dimensional input/output ndarray corresponding to C.
  • a zero-dimensional ndarray specifying whether A should be transposed, conjugate-transposed, or not transposed.
  • a zero-dimensional ndarray specifying whether B should be transposed, conjugate-transposed, or not transposed.
  • a zero-dimensional ndarray containing a scalar constant corresponding to alpha.
  • a zero-dimensional ndarray containing a scalar constant corresponding to beta.

Examples

import discreteUniform from 'https://cdn.jsdelivr.net/gh/stdlib-js/random-discrete-uniform@deno/mod.js';
import scalar2ndarray from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-from-scalar@deno/mod.js';
import resolveEnum from 'https://cdn.jsdelivr.net/gh/stdlib-js/blas-base-transpose-operation-resolve-enum@deno/mod.js';
import ndarray2array from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-to-array@deno/mod.js';
import sgemm from 'https://cdn.jsdelivr.net/gh/stdlib-js/blas-base-ndarray-sgemm@deno/mod.js';

var opts = {
    'dtype': 'float32'
};

var A = discreteUniform( [ 3, 4 ], 0, 10, opts );
var B = discreteUniform( [ 4, 2 ], 0, 10, opts );
var C = discreteUniform( [ 3, 2 ], 0, 10, opts );

var transA = scalar2ndarray( resolveEnum( 'no-transpose' ), {
    'dtype': 'int32'
});
var transB = scalar2ndarray( resolveEnum( 'no-transpose' ), {
    'dtype': 'int32'
});
var alpha = scalar2ndarray( 1.0, opts );
var beta = scalar2ndarray( 1.0, opts );

var out = sgemm( [ A, B, C, transA, transB, alpha, beta ] );
console.log( ndarray2array( out ) );

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Notice

This package is part of stdlib, a standard library with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.

Community

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License

See LICENSE.

Copyright

Copyright © 2016-2026. The Stdlib Authors.